2022/08/25 22:15:11 - 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: 15255474 GPU 0: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/cache/share/cuda-11.1 NVCC: Cuda compilation tools, release 11.1, V11.1.74 GCC: gcc (GCC) 5.4.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.10.0+cu111 OpenCV: 4.5.4 MMEngine: 0.0.1 Runtime environment: cudnn_benchmark: True mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: slurm Distributed training: True GPU number: 1 ------------------------------------------------------------ 2022/08/25 22:15:11 - mmengine - INFO - Config: file_client_args = dict(backend='disk') model = dict( type='FCENet', backbone=dict( type='mmdet.ResNet', depth=50, num_stages=4, out_indices=(1, 2, 3), frozen_stages=-1, norm_cfg=dict(type='BN', requires_grad=True), init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50'), norm_eval=True, style='pytorch', dcn=dict(type='DCNv2', deform_groups=2, fallback_on_stride=False), stage_with_dcn=(False, True, True, True)), neck=dict( type='mmdet.FPN', in_channels=[512, 1024, 2048], out_channels=256, add_extra_convs='on_output', num_outs=3, relu_before_extra_convs=True, act_cfg=None), det_head=dict( type='FCEHead', in_channels=256, fourier_degree=5, module_loss=dict( type='FCEModuleLoss', num_sample=50, level_proportion_range=((0, 0.25), (0.2, 0.65), (0.55, 1.0))), postprocessor=dict( type='FCEPostprocessor', scales=(8, 16, 32), text_repr_type='poly', num_reconstr_points=50, alpha=1.0, beta=2.0, score_thr=0.3)), data_preprocessor=dict( type='TextDetDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], bgr_to_rgb=True, pad_size_divisor=32)) train_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='RandomResize', scale=(800, 800), ratio_range=(0.75, 2.5), keep_ratio=True), dict( type='TextDetRandomCropFlip', crop_ratio=0.5, iter_num=1, min_area_ratio=0.2), dict( type='RandomApply', transforms=[dict(type='RandomCrop', min_side_ratio=0.3)], prob=0.8), dict( type='RandomApply', transforms=[ dict( type='RandomRotate', max_angle=30, pad_with_fixed_color=False, use_canvas=True) ], prob=0.5), dict( type='RandomChoice', transforms=[[{ 'type': 'Resize', 'scale': 800, 'keep_ratio': True }, { 'type': 'SourceImagePad', 'target_scale': 800 }], { 'type': 'Resize', 'scale': 800, 'keep_ratio': False }], prob=[0.6, 0.4]), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5, contrast=0.5), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] test_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(2260, 2260), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] ctw_det_data_root = 'data/det/ctw1500' ctw_det_train = dict( type='OCRDataset', data_root='data/det/ctw1500', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='RandomResize', scale=(800, 800), ratio_range=(0.75, 2.5), keep_ratio=True), dict( type='TextDetRandomCropFlip', crop_ratio=0.5, iter_num=1, min_area_ratio=0.2), dict( type='RandomApply', transforms=[dict(type='RandomCrop', min_side_ratio=0.3)], prob=0.8), dict( type='RandomApply', transforms=[ dict( type='RandomRotate', max_angle=30, pad_with_fixed_color=False, use_canvas=True) ], prob=0.5), dict( type='RandomChoice', transforms=[[{ 'type': 'Resize', 'scale': 800, 'keep_ratio': True }, { 'type': 'SourceImagePad', 'target_scale': 800 }], { 'type': 'Resize', 'scale': 800, 'keep_ratio': False }], prob=[0.6, 0.4]), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5, contrast=0.5), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ]) ctw_det_test = dict( type='OCRDataset', data_root='data/det/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1080, 736), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ]) default_scope = 'mmocr' env_cfg = dict( cudnn_benchmark=True, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) randomness = dict(seed=None) default_hooks = dict( timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=5), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=20, out_dir=''), sampler_seed=dict(type='DistSamplerSeedHook'), sync_buffer=dict(type='SyncBuffersHook'), visualization=dict( type='VisualizationHook', interval=1, enable=False, show=False, draw_gt=False, draw_pred=False)) log_level = 'INFO' log_processor = dict(type='LogProcessor', window_size=10, by_epoch=True) load_from = None resume = False val_evaluator = dict(type='HmeanIOUMetric') test_evaluator = dict(type='HmeanIOUMetric') vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='TextDetLocalVisualizer', name='visualizer', vis_backends=[dict(type='LocalVisBackend')]) optim_wrapper = dict( type='OptimWrapper', optimizer=dict(type='SGD', lr=0.001, momentum=0.9, weight_decay=0.0005)) train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=1500, 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=1500)] ctw_test_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1080, 736), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] train_dataloader = dict( batch_size=8, num_workers=4, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/ctw1500', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='RandomResize', scale=(800, 800), ratio_range=(0.75, 2.5), keep_ratio=True), dict( type='TextDetRandomCropFlip', crop_ratio=0.5, iter_num=1, min_area_ratio=0.2), dict( type='RandomApply', transforms=[dict(type='RandomCrop', min_side_ratio=0.3)], prob=0.8), dict( type='RandomApply', transforms=[ dict( type='RandomRotate', max_angle=30, pad_with_fixed_color=False, use_canvas=True) ], prob=0.5), dict( type='RandomChoice', transforms=[[{ 'type': 'Resize', 'scale': 800, 'keep_ratio': True }, { 'type': 'SourceImagePad', 'target_scale': 800 }], { 'type': 'Resize', 'scale': 800, 'keep_ratio': False }], prob=[0.6, 0.4]), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5, contrast=0.5), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) val_dataloader = dict( batch_size=1, num_workers=1, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1080, 736), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) test_dataloader = dict( batch_size=1, num_workers=1, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1080, 736), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) launcher = 'slurm' work_dir = './work_dirs/fcenet_resnet50-dcnv2_fpn_1500e_ctw1500' Name of parameter - Initialization information backbone.conv1.weight - torch.Size([64, 3, 7, 7]): PretrainedInit: load from torchvision://resnet50 backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.conv2.conv_offset.weight - torch.Size([54, 128, 3, 3]): The value is the same before and after calling `init_weights` of FCENet backbone.layer2.0.conv2.conv_offset.bias - torch.Size([54]): The value is the same before and after calling `init_weights` of FCENet backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.conv2.conv_offset.weight - torch.Size([54, 128, 3, 3]): The value is the same before and after calling `init_weights` of FCENet backbone.layer2.1.conv2.conv_offset.bias - torch.Size([54]): The value is the same before and after calling `init_weights` of FCENet backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.conv2.conv_offset.weight - torch.Size([54, 128, 3, 3]): The value is the same before and after calling `init_weights` of FCENet backbone.layer2.2.conv2.conv_offset.bias - torch.Size([54]): The value is the same before and after calling `init_weights` of FCENet backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.conv2.conv_offset.weight - torch.Size([54, 128, 3, 3]): The value is the same before and after calling `init_weights` of FCENet backbone.layer2.3.conv2.conv_offset.bias - torch.Size([54]): The value is the same before and after calling `init_weights` of FCENet backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.conv2.conv_offset.weight - torch.Size([54, 256, 3, 3]): The value is the same before and after calling `init_weights` of FCENet backbone.layer3.0.conv2.conv_offset.bias - torch.Size([54]): The value is the same before and after calling `init_weights` of FCENet backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.downsample.1.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.0.downsample.1.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.conv2.conv_offset.weight - torch.Size([54, 256, 3, 3]): The value is the same before and after calling `init_weights` of FCENet backbone.layer3.1.conv2.conv_offset.bias - torch.Size([54]): The value is the same before and after calling `init_weights` of FCENet backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.conv2.conv_offset.weight - torch.Size([54, 256, 3, 3]): The value is the same before and after calling `init_weights` of FCENet backbone.layer3.2.conv2.conv_offset.bias - torch.Size([54]): The value is the same before and after calling `init_weights` of FCENet backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.conv2.conv_offset.weight - torch.Size([54, 256, 3, 3]): The value is the same before and after calling `init_weights` of FCENet backbone.layer3.3.conv2.conv_offset.bias - torch.Size([54]): The value is the same before and after calling `init_weights` of FCENet backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.conv2.conv_offset.weight - torch.Size([54, 256, 3, 3]): The value is the same before and after calling `init_weights` of FCENet backbone.layer3.4.conv2.conv_offset.bias - torch.Size([54]): The value is the same before and after calling `init_weights` of FCENet backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.conv2.conv_offset.weight - torch.Size([54, 256, 3, 3]): The value is the same before and after calling `init_weights` of FCENet backbone.layer3.5.conv2.conv_offset.bias - torch.Size([54]): The value is the same before and after calling `init_weights` of FCENet backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.conv2.conv_offset.weight - torch.Size([54, 512, 3, 3]): The value is the same before and after calling `init_weights` of FCENet backbone.layer4.0.conv2.conv_offset.bias - torch.Size([54]): The value is the same before and after calling `init_weights` of FCENet backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.downsample.1.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.0.downsample.1.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.conv2.conv_offset.weight - torch.Size([54, 512, 3, 3]): The value is the same before and after calling `init_weights` of FCENet backbone.layer4.1.conv2.conv_offset.bias - torch.Size([54]): The value is the same before and after calling `init_weights` of FCENet backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.conv2.conv_offset.weight - torch.Size([54, 512, 3, 3]): The value is the same before and after calling `init_weights` of FCENet backbone.layer4.2.conv2.conv_offset.bias - torch.Size([54]): The value is the same before and after calling `init_weights` of FCENet backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 neck.lateral_convs.0.conv.weight - torch.Size([256, 512, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FCENet neck.lateral_convs.1.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FCENet neck.lateral_convs.2.conv.weight - torch.Size([256, 2048, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FCENet neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FCENet neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FCENet neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of FCENet det_head.out_conv_cls.weight - torch.Size([4, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 det_head.out_conv_cls.bias - torch.Size([4]): NormalInit: mean=0, std=0.01, bias=0 det_head.out_conv_reg.weight - torch.Size([22, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 det_head.out_conv_reg.bias - torch.Size([22]): NormalInit: mean=0, std=0.01, bias=0 2022/08/25 22:17:48 - mmengine - INFO - Epoch(train) [1][5/125] lr: 1.0000e-03 memory: 25933 data_time: 18.4842 loss_text: 2.2340 loss_center: 3.5054 loss_reg_x: 11.1483 loss_reg_y: 6.5130 loss: 23.4006 time: 20.3824 2022/08/25 22:17:50 - mmengine - INFO - Epoch(train) [1][10/125] lr: 1.0000e-03 eta: 22 days, 15:43:21 time: 10.4400 data_time: 9.2618 memory: 9483 loss_text: 2.0817 loss_center: 3.3396 loss_reg_x: 10.2253 loss_reg_y: 5.8167 loss: 21.4634 2022/08/25 22:17:53 - mmengine - INFO - Epoch(train) [1][15/125] lr: 1.0000e-03 eta: 22 days, 15:43:21 time: 0.5087 data_time: 0.0251 memory: 9483 loss_text: 1.9090 loss_center: 3.1542 loss_reg_x: 9.6632 loss_reg_y: 5.1408 loss: 19.8671 2022/08/25 22:17:55 - mmengine - INFO - Epoch(train) [1][20/125] lr: 1.0000e-03 eta: 11 days, 21:11:13 time: 0.5123 data_time: 0.0106 memory: 9483 loss_text: 1.8508 loss_center: 3.1346 loss_reg_x: 9.4778 loss_reg_y: 5.3918 loss: 19.8549 2022/08/25 22:17:58 - mmengine - INFO - Epoch(train) [1][25/125] lr: 1.0000e-03 eta: 11 days, 21:11:13 time: 0.5674 data_time: 0.0116 memory: 9483 loss_text: 1.7811 loss_center: 3.1350 loss_reg_x: 9.3299 loss_reg_y: 5.1608 loss: 19.4068 2022/08/25 22:18:01 - mmengine - INFO - Epoch(train) [1][30/125] lr: 1.0000e-03 eta: 8 days, 7:53:12 time: 0.5630 data_time: 0.0141 memory: 9483 loss_text: 1.7588 loss_center: 3.1346 loss_reg_x: 9.4141 loss_reg_y: 4.2527 loss: 18.5603 2022/08/25 22:18:03 - mmengine - INFO - Epoch(train) [1][35/125] lr: 1.0000e-03 eta: 8 days, 7:53:12 time: 0.5042 data_time: 0.0126 memory: 9483 loss_text: 1.7041 loss_center: 3.0622 loss_reg_x: 8.8125 loss_reg_y: 4.5611 loss: 18.1399 2022/08/25 22:18:06 - mmengine - INFO - Epoch(train) [1][40/125] lr: 1.0000e-03 eta: 6 days, 12:37:18 time: 0.5158 data_time: 0.0101 memory: 9483 loss_text: 1.6769 loss_center: 3.0590 loss_reg_x: 9.0234 loss_reg_y: 5.1348 loss: 18.8941 2022/08/25 22:18:12 - mmengine - INFO - Epoch(train) [1][45/125] lr: 1.0000e-03 eta: 6 days, 12:37:18 time: 0.8428 data_time: 0.0590 memory: 9483 loss_text: 1.7194 loss_center: 3.1260 loss_reg_x: 9.3948 loss_reg_y: 4.5081 loss: 18.7483 2022/08/25 22:18:15 - mmengine - INFO - Epoch(train) [1][50/125] lr: 1.0000e-03 eta: 5 days, 14:07:42 time: 0.8486 data_time: 0.0642 memory: 9483 loss_text: 1.6827 loss_center: 3.1240 loss_reg_x: 9.0456 loss_reg_y: 4.1707 loss: 18.0229 2022/08/25 22:18:17 - mmengine - INFO - Epoch(train) [1][55/125] lr: 1.0000e-03 eta: 5 days, 14:07:42 time: 0.5094 data_time: 0.0169 memory: 9483 loss_text: 1.6658 loss_center: 3.1239 loss_reg_x: 8.8615 loss_reg_y: 4.0279 loss: 17.6791 2022/08/25 22:18:20 - mmengine - INFO - Epoch(train) [1][60/125] lr: 1.0000e-03 eta: 4 days, 20:14:15 time: 0.5151 data_time: 0.0124 memory: 9483 loss_text: 1.6632 loss_center: 3.1252 loss_reg_x: 8.8887 loss_reg_y: 3.6848 loss: 17.3620 2022/08/25 22:18:22 - mmengine - INFO - Epoch(train) [1][65/125] lr: 1.0000e-03 eta: 4 days, 20:14:15 time: 0.5178 data_time: 0.0133 memory: 9483 loss_text: 1.6805 loss_center: 3.1243 loss_reg_x: 8.5870 loss_reg_y: 4.0866 loss: 17.4785 2022/08/25 22:18:25 - mmengine - INFO - Epoch(train) [1][70/125] lr: 1.0000e-03 eta: 4 days, 7:24:36 time: 0.5087 data_time: 0.0153 memory: 9483 loss_text: 1.6854 loss_center: 3.1223 loss_reg_x: 8.1310 loss_reg_y: 4.3616 loss: 17.3003 2022/08/25 22:18:29 - mmengine - INFO - Epoch(train) [1][75/125] lr: 1.0000e-03 eta: 4 days, 7:24:36 time: 0.7214 data_time: 0.0156 memory: 9483 loss_text: 1.6850 loss_center: 3.1205 loss_reg_x: 7.6514 loss_reg_y: 4.4231 loss: 16.8800 2022/08/25 22:18:32 - mmengine - INFO - Epoch(train) [1][80/125] lr: 1.0000e-03 eta: 3 days, 23:11:21 time: 0.7238 data_time: 0.0167 memory: 9483 loss_text: 1.7169 loss_center: 3.1193 loss_reg_x: 7.1183 loss_reg_y: 4.3250 loss: 16.2796 2022/08/25 22:18:35 - mmengine - INFO - Epoch(train) [1][85/125] lr: 1.0000e-03 eta: 3 days, 23:11:21 time: 0.5727 data_time: 0.0167 memory: 9483 loss_text: 1.7248 loss_center: 3.1213 loss_reg_x: 7.1111 loss_reg_y: 4.3142 loss: 16.2714 2022/08/25 22:18:38 - mmengine - INFO - Epoch(train) [1][90/125] lr: 1.0000e-03 eta: 3 days, 15:54:41 time: 0.5711 data_time: 0.0206 memory: 9483 loss_text: 1.7783 loss_center: 3.1257 loss_reg_x: 7.0425 loss_reg_y: 4.0644 loss: 16.0110 2022/08/25 22:18:40 - mmengine - INFO - Epoch(train) [1][95/125] lr: 1.0000e-03 eta: 3 days, 15:54:41 time: 0.5154 data_time: 0.0193 memory: 9483 loss_text: 1.7608 loss_center: 3.1232 loss_reg_x: 6.5957 loss_reg_y: 3.6954 loss: 15.1751 2022/08/25 22:18:43 - mmengine - INFO - Epoch(train) [1][100/125] lr: 1.0000e-03 eta: 3 days, 9:44:31 time: 0.5044 data_time: 0.0123 memory: 9483 loss_text: 1.6841 loss_center: 3.1190 loss_reg_x: 6.7104 loss_reg_y: 3.9081 loss: 15.4216 2022/08/25 22:18:45 - mmengine - INFO - Epoch(train) [1][105/125] lr: 1.0000e-03 eta: 3 days, 9:44:31 time: 0.4973 data_time: 0.0119 memory: 9483 loss_text: 1.7473 loss_center: 3.1204 loss_reg_x: 7.0577 loss_reg_y: 3.7938 loss: 15.7193 2022/08/25 22:18:52 - mmengine - INFO - Epoch(train) [1][110/125] lr: 1.0000e-03 eta: 3 days, 6:44:07 time: 0.9358 data_time: 0.0509 memory: 9483 loss_text: 1.7098 loss_center: 3.0520 loss_reg_x: 6.6553 loss_reg_y: 4.0423 loss: 15.4594 2022/08/25 22:18:55 - mmengine - INFO - Epoch(train) [1][115/125] lr: 1.0000e-03 eta: 3 days, 6:44:07 time: 0.9258 data_time: 0.0530 memory: 9483 loss_text: 1.6641 loss_center: 3.0515 loss_reg_x: 6.3926 loss_reg_y: 4.3357 loss: 15.4440 2022/08/25 22:18:57 - mmengine - INFO - Epoch(train) [1][120/125] lr: 1.0000e-03 eta: 3 days, 2:14:26 time: 0.4774 data_time: 0.0138 memory: 9483 loss_text: 1.7354 loss_center: 3.1205 loss_reg_x: 6.3426 loss_reg_y: 4.7495 loss: 15.9481 2022/08/25 22:18:59 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:18:59 - mmengine - INFO - Epoch(train) [1][125/125] lr: 1.0000e-03 eta: 3 days, 2:14:26 time: 0.4920 data_time: 0.0147 memory: 9483 loss_text: 1.7259 loss_center: 3.1195 loss_reg_x: 6.2643 loss_reg_y: 5.1218 loss: 16.2316 2022/08/25 22:19:03 - mmengine - INFO - Epoch(train) [2][5/125] lr: 9.9940e-04 eta: 3 days, 2:14:26 time: 0.5851 data_time: 0.0710 memory: 9483 loss_text: 1.6844 loss_center: 3.1201 loss_reg_x: 6.1930 loss_reg_y: 4.3301 loss: 15.3276 2022/08/25 22:19:05 - mmengine - INFO - Epoch(train) [2][10/125] lr: 9.9940e-04 eta: 2 days, 20:11:58 time: 0.5740 data_time: 0.0696 memory: 9483 loss_text: 1.6294 loss_center: 3.1209 loss_reg_x: 6.2246 loss_reg_y: 3.6244 loss: 14.5993 2022/08/25 22:19:08 - mmengine - INFO - Epoch(train) [2][15/125] lr: 9.9940e-04 eta: 2 days, 20:11:58 time: 0.5064 data_time: 0.0137 memory: 9483 loss_text: 1.6587 loss_center: 3.1198 loss_reg_x: 6.1813 loss_reg_y: 3.8513 loss: 14.8111 2022/08/25 22:19:11 - mmengine - INFO - Epoch(train) [2][20/125] lr: 9.9940e-04 eta: 2 days, 17:23:57 time: 0.5312 data_time: 0.0167 memory: 9483 loss_text: 1.6537 loss_center: 3.1168 loss_reg_x: 5.5647 loss_reg_y: 3.7190 loss: 14.0541 2022/08/25 22:19:13 - mmengine - INFO - Epoch(train) [2][25/125] lr: 9.9940e-04 eta: 2 days, 17:23:57 time: 0.5051 data_time: 0.0175 memory: 9483 loss_text: 1.6132 loss_center: 3.1159 loss_reg_x: 5.1650 loss_reg_y: 3.7699 loss: 13.6641 2022/08/25 22:19:16 - mmengine - INFO - Epoch(train) [2][30/125] lr: 9.9940e-04 eta: 2 days, 14:56:06 time: 0.5238 data_time: 0.0136 memory: 9483 loss_text: 1.6261 loss_center: 3.1192 loss_reg_x: 5.2544 loss_reg_y: 4.0529 loss: 14.0527 2022/08/25 22:19:21 - mmengine - INFO - Epoch(train) [2][35/125] lr: 9.9940e-04 eta: 2 days, 14:56:06 time: 0.7904 data_time: 0.0137 memory: 9483 loss_text: 1.6144 loss_center: 3.1195 loss_reg_x: 5.5311 loss_reg_y: 3.7919 loss: 14.0569 2022/08/25 22:19:23 - mmengine - INFO - Epoch(train) [2][40/125] lr: 9.9940e-04 eta: 2 days, 13:31:12 time: 0.7618 data_time: 0.0146 memory: 9483 loss_text: 1.5989 loss_center: 3.1173 loss_reg_x: 5.3665 loss_reg_y: 3.9901 loss: 14.0729 2022/08/25 22:19:26 - mmengine - INFO - Epoch(train) [2][45/125] lr: 9.9940e-04 eta: 2 days, 13:31:12 time: 0.5026 data_time: 0.0150 memory: 9483 loss_text: 1.5751 loss_center: 3.1156 loss_reg_x: 5.2668 loss_reg_y: 4.4128 loss: 14.3703 2022/08/25 22:19:28 - mmengine - INFO - Epoch(train) [2][50/125] lr: 9.9940e-04 eta: 2 days, 11:29:25 time: 0.5007 data_time: 0.0133 memory: 9483 loss_text: 1.5564 loss_center: 3.1163 loss_reg_x: 5.4007 loss_reg_y: 4.6917 loss: 14.7652 2022/08/25 22:19:31 - mmengine - INFO - Epoch(train) [2][55/125] lr: 9.9940e-04 eta: 2 days, 11:29:25 time: 0.5077 data_time: 0.0122 memory: 9483 loss_text: 1.5868 loss_center: 3.1189 loss_reg_x: 5.0862 loss_reg_y: 4.3412 loss: 14.1331 2022/08/25 22:19:33 - mmengine - INFO - Epoch(train) [2][60/125] lr: 9.9940e-04 eta: 2 days, 9:38:32 time: 0.4874 data_time: 0.0143 memory: 9483 loss_text: 1.5957 loss_center: 3.1166 loss_reg_x: 4.7844 loss_reg_y: 3.8590 loss: 13.3557 2022/08/25 22:19:36 - mmengine - INFO - Epoch(train) [2][65/125] lr: 9.9940e-04 eta: 2 days, 9:38:32 time: 0.4823 data_time: 0.0143 memory: 9483 loss_text: 1.5843 loss_center: 3.1131 loss_reg_x: 4.6153 loss_reg_y: 3.6399 loss: 12.9526 2022/08/25 22:19:39 - mmengine - INFO - Epoch(train) [2][70/125] lr: 9.9940e-04 eta: 2 days, 8:14:37 time: 0.5848 data_time: 0.0351 memory: 9483 loss_text: 1.6271 loss_center: 3.1212 loss_reg_x: 5.0296 loss_reg_y: 3.9435 loss: 13.7213 2022/08/25 22:19:42 - mmengine - INFO - Epoch(train) [2][75/125] lr: 9.9940e-04 eta: 2 days, 8:14:37 time: 0.5849 data_time: 0.0350 memory: 9483 loss_text: 1.6223 loss_center: 3.1193 loss_reg_x: 5.1104 loss_reg_y: 4.2186 loss: 14.0706 2022/08/25 22:19:45 - mmengine - INFO - Epoch(train) [2][80/125] lr: 9.9940e-04 eta: 2 days, 7:00:42 time: 0.5967 data_time: 0.0139 memory: 9483 loss_text: 1.5706 loss_center: 3.1097 loss_reg_x: 4.5895 loss_reg_y: 3.8126 loss: 13.0824 2022/08/25 22:19:48 - mmengine - INFO - Epoch(train) [2][85/125] lr: 9.9940e-04 eta: 2 days, 7:00:42 time: 0.6614 data_time: 0.0138 memory: 9483 loss_text: 1.5936 loss_center: 3.1119 loss_reg_x: 4.6936 loss_reg_y: 3.7641 loss: 13.1632 2022/08/25 22:19:51 - mmengine - INFO - Epoch(train) [2][90/125] lr: 9.9940e-04 eta: 2 days, 5:48:57 time: 0.5644 data_time: 0.0142 memory: 9483 loss_text: 1.5988 loss_center: 3.1092 loss_reg_x: 4.7121 loss_reg_y: 3.8864 loss: 13.3066 2022/08/25 22:19:53 - mmengine - INFO - Epoch(train) [2][95/125] lr: 9.9940e-04 eta: 2 days, 5:48:57 time: 0.5117 data_time: 0.0138 memory: 9483 loss_text: 1.5962 loss_center: 3.1093 loss_reg_x: 4.7359 loss_reg_y: 3.6827 loss: 13.1241 2022/08/25 22:19:56 - mmengine - INFO - Epoch(train) [2][100/125] lr: 9.9940e-04 eta: 2 days, 4:37:16 time: 0.5190 data_time: 0.0135 memory: 9483 loss_text: 1.5827 loss_center: 3.1022 loss_reg_x: 4.8842 loss_reg_y: 3.4245 loss: 12.9936 2022/08/25 22:20:01 - mmengine - INFO - Epoch(train) [2][105/125] lr: 9.9940e-04 eta: 2 days, 4:37:16 time: 0.7498 data_time: 0.0324 memory: 9483 loss_text: 1.5526 loss_center: 3.1030 loss_reg_x: 4.8054 loss_reg_y: 3.9850 loss: 13.4460 2022/08/25 22:20:03 - mmengine - INFO - Epoch(train) [2][110/125] lr: 9.9940e-04 eta: 2 days, 4:02:32 time: 0.7512 data_time: 0.0309 memory: 9483 loss_text: 1.5582 loss_center: 3.1153 loss_reg_x: 4.8945 loss_reg_y: 4.1001 loss: 13.6682 2022/08/25 22:20:06 - mmengine - INFO - Epoch(train) [2][115/125] lr: 9.9940e-04 eta: 2 days, 4:02:32 time: 0.5058 data_time: 0.0142 memory: 9483 loss_text: 1.5838 loss_center: 3.1031 loss_reg_x: 4.8601 loss_reg_y: 3.7804 loss: 13.3273 2022/08/25 22:20:09 - mmengine - INFO - Epoch(train) [2][120/125] lr: 9.9940e-04 eta: 2 days, 3:01:48 time: 0.5251 data_time: 0.0145 memory: 9483 loss_text: 1.5642 loss_center: 3.0992 loss_reg_x: 4.7091 loss_reg_y: 3.5625 loss: 12.9349 2022/08/25 22:20:11 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:20:11 - mmengine - INFO - Epoch(train) [2][125/125] lr: 9.9940e-04 eta: 2 days, 3:01:48 time: 0.5134 data_time: 0.0132 memory: 9483 loss_text: 1.5832 loss_center: 3.1028 loss_reg_x: 4.6266 loss_reg_y: 3.7376 loss: 13.0502 2022/08/25 22:20:14 - mmengine - INFO - Epoch(train) [3][5/125] lr: 9.9880e-04 eta: 2 days, 3:01:48 time: 0.5400 data_time: 0.0680 memory: 9483 loss_text: 1.6225 loss_center: 3.1012 loss_reg_x: 4.6168 loss_reg_y: 3.9051 loss: 13.2456 2022/08/25 22:20:17 - mmengine - INFO - Epoch(train) [3][10/125] lr: 9.9880e-04 eta: 2 days, 1:11:58 time: 0.5585 data_time: 0.0717 memory: 9483 loss_text: 1.5804 loss_center: 3.1002 loss_reg_x: 4.6834 loss_reg_y: 3.6517 loss: 13.0157 2022/08/25 22:20:20 - mmengine - INFO - Epoch(train) [3][15/125] lr: 9.9880e-04 eta: 2 days, 1:11:58 time: 0.5705 data_time: 0.0176 memory: 9483 loss_text: 1.5337 loss_center: 3.0937 loss_reg_x: 4.3236 loss_reg_y: 3.5417 loss: 12.4927 2022/08/25 22:20:22 - mmengine - INFO - Epoch(train) [3][20/125] lr: 9.9880e-04 eta: 2 days, 0:28:09 time: 0.5681 data_time: 0.0138 memory: 9483 loss_text: 1.5629 loss_center: 3.0971 loss_reg_x: 4.0245 loss_reg_y: 3.1641 loss: 11.8486 2022/08/25 22:20:25 - mmengine - INFO - Epoch(train) [3][25/125] lr: 9.9880e-04 eta: 2 days, 0:28:09 time: 0.5148 data_time: 0.0125 memory: 9483 loss_text: 1.6219 loss_center: 3.1028 loss_reg_x: 4.4849 loss_reg_y: 3.0844 loss: 12.2940 2022/08/25 22:20:32 - mmengine - INFO - Epoch(train) [3][30/125] lr: 9.9880e-04 eta: 2 days, 0:26:37 time: 0.9197 data_time: 0.0140 memory: 9483 loss_text: 1.5594 loss_center: 3.1023 loss_reg_x: 4.8216 loss_reg_y: 3.3820 loss: 12.8653 2022/08/25 22:20:34 - mmengine - INFO - Epoch(train) [3][35/125] lr: 9.9880e-04 eta: 2 days, 0:26:37 time: 0.9309 data_time: 0.0230 memory: 9483 loss_text: 1.5114 loss_center: 3.1066 loss_reg_x: 4.6180 loss_reg_y: 3.7695 loss: 13.0056 2022/08/25 22:20:37 - mmengine - INFO - Epoch(train) [3][40/125] lr: 9.9880e-04 eta: 1 day, 23:43:11 time: 0.5293 data_time: 0.0211 memory: 9483 loss_text: 1.4873 loss_center: 3.0996 loss_reg_x: 4.3660 loss_reg_y: 3.6736 loss: 12.6264 2022/08/25 22:20:40 - mmengine - INFO - Epoch(train) [3][45/125] lr: 9.9880e-04 eta: 1 day, 23:43:11 time: 0.5242 data_time: 0.0186 memory: 9483 loss_text: 1.5104 loss_center: 3.0881 loss_reg_x: 4.1491 loss_reg_y: 3.8009 loss: 12.5485 2022/08/25 22:20:42 - mmengine - INFO - Epoch(train) [3][50/125] lr: 9.9880e-04 eta: 1 day, 22:59:07 time: 0.4954 data_time: 0.0181 memory: 9483 loss_text: 1.5987 loss_center: 3.0948 loss_reg_x: 4.3820 loss_reg_y: 4.1768 loss: 13.2523 2022/08/25 22:20:45 - mmengine - INFO - Epoch(train) [3][55/125] lr: 9.9880e-04 eta: 1 day, 22:59:07 time: 0.5380 data_time: 0.0148 memory: 9483 loss_text: 1.5837 loss_center: 3.0976 loss_reg_x: 4.5667 loss_reg_y: 3.6893 loss: 12.9372 2022/08/25 22:20:49 - mmengine - INFO - Epoch(train) [3][60/125] lr: 9.9880e-04 eta: 1 day, 22:40:11 time: 0.7169 data_time: 0.0377 memory: 9483 loss_text: 1.5234 loss_center: 3.0928 loss_reg_x: 4.3225 loss_reg_y: 3.3051 loss: 12.2437 2022/08/25 22:20:51 - mmengine - INFO - Epoch(train) [3][65/125] lr: 9.9880e-04 eta: 1 day, 22:40:11 time: 0.6536 data_time: 0.0363 memory: 9483 loss_text: 1.4973 loss_center: 3.0909 loss_reg_x: 3.9330 loss_reg_y: 3.1096 loss: 11.6307 2022/08/25 22:20:54 - mmengine - INFO - Epoch(train) [3][70/125] lr: 9.9880e-04 eta: 1 day, 22:01:13 time: 0.4993 data_time: 0.0141 memory: 9483 loss_text: 1.4838 loss_center: 3.0860 loss_reg_x: 3.8811 loss_reg_y: 3.0345 loss: 11.4854 2022/08/25 22:20:57 - mmengine - INFO - Epoch(train) [3][75/125] lr: 9.9880e-04 eta: 1 day, 22:01:13 time: 0.5134 data_time: 0.0134 memory: 9483 loss_text: 1.4504 loss_center: 3.0777 loss_reg_x: 3.7813 loss_reg_y: 2.8514 loss: 11.1608 2022/08/25 22:21:00 - mmengine - INFO - Epoch(train) [3][80/125] lr: 9.9880e-04 eta: 1 day, 21:39:05 time: 0.6526 data_time: 0.0141 memory: 9483 loss_text: 1.5019 loss_center: 3.0798 loss_reg_x: 3.8267 loss_reg_y: 2.7515 loss: 11.1598 2022/08/25 22:21:03 - mmengine - INFO - Epoch(train) [3][85/125] lr: 9.9880e-04 eta: 1 day, 21:39:05 time: 0.6477 data_time: 0.0169 memory: 9483 loss_text: 1.5484 loss_center: 3.0875 loss_reg_x: 4.4136 loss_reg_y: 3.7678 loss: 12.8173 2022/08/25 22:21:05 - mmengine - INFO - Epoch(train) [3][90/125] lr: 9.9880e-04 eta: 1 day, 21:04:04 time: 0.4981 data_time: 0.0186 memory: 9483 loss_text: 1.5458 loss_center: 3.0990 loss_reg_x: 4.4905 loss_reg_y: 4.0557 loss: 13.1909 2022/08/25 22:21:10 - mmengine - INFO - Epoch(train) [3][95/125] lr: 9.9880e-04 eta: 1 day, 21:04:04 time: 0.7089 data_time: 0.0334 memory: 9483 loss_text: 1.5881 loss_center: 3.1017 loss_reg_x: 4.4416 loss_reg_y: 3.4806 loss: 12.6119 2022/08/25 22:21:13 - mmengine - INFO - Epoch(train) [3][100/125] lr: 9.9880e-04 eta: 1 day, 20:49:52 time: 0.7090 data_time: 0.0310 memory: 9483 loss_text: 1.5271 loss_center: 3.0790 loss_reg_x: 4.4208 loss_reg_y: 3.3595 loss: 12.3865 2022/08/25 22:21:15 - mmengine - INFO - Epoch(train) [3][105/125] lr: 9.9880e-04 eta: 1 day, 20:49:52 time: 0.4878 data_time: 0.0141 memory: 9483 loss_text: 1.5195 loss_center: 3.0723 loss_reg_x: 4.2394 loss_reg_y: 3.0204 loss: 11.8516 2022/08/25 22:21:18 - mmengine - INFO - Epoch(train) [3][110/125] lr: 9.9880e-04 eta: 1 day, 20:21:09 time: 0.5327 data_time: 0.0387 memory: 9483 loss_text: 1.5607 loss_center: 3.0769 loss_reg_x: 4.3317 loss_reg_y: 2.9375 loss: 11.9068 2022/08/25 22:21:20 - mmengine - INFO - Epoch(train) [3][115/125] lr: 9.9880e-04 eta: 1 day, 20:21:09 time: 0.5416 data_time: 0.0384 memory: 9483 loss_text: 1.5920 loss_center: 3.0717 loss_reg_x: 4.2862 loss_reg_y: 3.1628 loss: 12.1128 2022/08/25 22:21:25 - mmengine - INFO - Epoch(train) [3][120/125] lr: 9.9880e-04 eta: 1 day, 20:08:45 time: 0.7078 data_time: 0.0139 memory: 9483 loss_text: 1.5996 loss_center: 3.0584 loss_reg_x: 4.3913 loss_reg_y: 3.2962 loss: 12.3455 2022/08/25 22:21:28 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:21:28 - mmengine - INFO - Epoch(train) [3][125/125] lr: 9.9880e-04 eta: 1 day, 20:08:45 time: 0.7329 data_time: 0.0184 memory: 9483 loss_text: 1.5219 loss_center: 3.0563 loss_reg_x: 4.3987 loss_reg_y: 3.4037 loss: 12.3805 2022/08/25 22:21:31 - mmengine - INFO - Epoch(train) [4][5/125] lr: 9.9820e-04 eta: 1 day, 20:08:45 time: 0.6125 data_time: 0.0888 memory: 9483 loss_text: 1.5026 loss_center: 3.0605 loss_reg_x: 4.2517 loss_reg_y: 3.6887 loss: 12.5034 2022/08/25 22:21:34 - mmengine - INFO - Epoch(train) [4][10/125] lr: 9.9820e-04 eta: 1 day, 19:12:37 time: 0.5834 data_time: 0.0817 memory: 9483 loss_text: 1.4830 loss_center: 3.0462 loss_reg_x: 4.0434 loss_reg_y: 3.5143 loss: 12.0869 2022/08/25 22:21:36 - mmengine - INFO - Epoch(train) [4][15/125] lr: 9.9820e-04 eta: 1 day, 19:12:37 time: 0.4974 data_time: 0.0118 memory: 9483 loss_text: 1.4841 loss_center: 3.0408 loss_reg_x: 3.8618 loss_reg_y: 3.4062 loss: 11.7929 2022/08/25 22:21:41 - mmengine - INFO - Epoch(train) [4][20/125] lr: 9.9820e-04 eta: 1 day, 19:02:02 time: 0.6991 data_time: 0.0155 memory: 9483 loss_text: 1.4912 loss_center: 3.0493 loss_reg_x: 4.0119 loss_reg_y: 3.9086 loss: 12.4611 2022/08/25 22:21:43 - mmengine - INFO - Epoch(train) [4][25/125] lr: 9.9820e-04 eta: 1 day, 19:02:02 time: 0.7015 data_time: 0.0152 memory: 9483 loss_text: 1.5019 loss_center: 3.0609 loss_reg_x: 4.0441 loss_reg_y: 3.7459 loss: 12.3528 2022/08/25 22:21:45 - mmengine - INFO - Epoch(train) [4][30/125] lr: 9.9820e-04 eta: 1 day, 18:35:37 time: 0.4867 data_time: 0.0119 memory: 9483 loss_text: 1.5195 loss_center: 3.0631 loss_reg_x: 4.0190 loss_reg_y: 3.3850 loss: 11.9866 2022/08/25 22:21:48 - mmengine - INFO - Epoch(train) [4][35/125] lr: 9.9820e-04 eta: 1 day, 18:35:37 time: 0.4976 data_time: 0.0173 memory: 9483 loss_text: 1.4447 loss_center: 3.0487 loss_reg_x: 3.9608 loss_reg_y: 3.1780 loss: 11.6323 2022/08/25 22:21:51 - mmengine - INFO - Epoch(train) [4][40/125] lr: 9.9820e-04 eta: 1 day, 18:12:52 time: 0.5187 data_time: 0.0235 memory: 9483 loss_text: 1.4180 loss_center: 3.0342 loss_reg_x: 3.8801 loss_reg_y: 3.1355 loss: 11.4678 2022/08/25 22:21:53 - mmengine - INFO - Epoch(train) [4][45/125] lr: 9.9820e-04 eta: 1 day, 18:12:52 time: 0.5298 data_time: 0.0178 memory: 9483 loss_text: 1.4420 loss_center: 3.0175 loss_reg_x: 3.8861 loss_reg_y: 2.9585 loss: 11.3041 2022/08/25 22:21:56 - mmengine - INFO - Epoch(train) [4][50/125] lr: 9.9820e-04 eta: 1 day, 17:52:06 time: 0.5310 data_time: 0.0137 memory: 9483 loss_text: 1.4514 loss_center: 3.0260 loss_reg_x: 4.0093 loss_reg_y: 2.7768 loss: 11.2636 2022/08/25 22:21:59 - mmengine - INFO - Epoch(train) [4][55/125] lr: 9.9820e-04 eta: 1 day, 17:52:06 time: 0.6114 data_time: 0.0451 memory: 9483 loss_text: 1.4545 loss_center: 3.0459 loss_reg_x: 4.0616 loss_reg_y: 3.3232 loss: 11.8852 2022/08/25 22:22:02 - mmengine - INFO - Epoch(train) [4][60/125] lr: 9.9820e-04 eta: 1 day, 17:37:23 time: 0.6023 data_time: 0.0464 memory: 9483 loss_text: 1.4148 loss_center: 3.0428 loss_reg_x: 4.2087 loss_reg_y: 3.8127 loss: 12.4790 2022/08/25 22:22:04 - mmengine - INFO - Epoch(train) [4][65/125] lr: 9.9820e-04 eta: 1 day, 17:37:23 time: 0.4953 data_time: 0.0154 memory: 9483 loss_text: 1.4404 loss_center: 3.0422 loss_reg_x: 4.3645 loss_reg_y: 3.3990 loss: 12.2462 2022/08/25 22:22:07 - mmengine - INFO - Epoch(train) [4][70/125] lr: 9.9820e-04 eta: 1 day, 17:16:37 time: 0.5066 data_time: 0.0126 memory: 9483 loss_text: 1.5294 loss_center: 3.0445 loss_reg_x: 4.3215 loss_reg_y: 3.2454 loss: 12.1408 2022/08/25 22:22:12 - mmengine - INFO - Epoch(train) [4][75/125] lr: 9.9820e-04 eta: 1 day, 17:16:37 time: 0.7296 data_time: 0.0401 memory: 9483 loss_text: 1.4958 loss_center: 3.0317 loss_reg_x: 3.9515 loss_reg_y: 3.3474 loss: 11.8265 2022/08/25 22:22:14 - mmengine - INFO - Epoch(train) [4][80/125] lr: 9.9820e-04 eta: 1 day, 17:10:28 time: 0.7066 data_time: 0.0421 memory: 9483 loss_text: 1.4449 loss_center: 3.0153 loss_reg_x: 3.6106 loss_reg_y: 2.9047 loss: 10.9754 2022/08/25 22:22:17 - mmengine - INFO - Epoch(train) [4][85/125] lr: 9.9820e-04 eta: 1 day, 17:10:28 time: 0.4988 data_time: 0.0139 memory: 9483 loss_text: 1.4849 loss_center: 3.0256 loss_reg_x: 3.8727 loss_reg_y: 2.9427 loss: 11.3259 2022/08/25 22:22:20 - mmengine - INFO - Epoch(train) [4][90/125] lr: 9.9820e-04 eta: 1 day, 16:53:24 time: 0.5398 data_time: 0.0124 memory: 9483 loss_text: 1.4820 loss_center: 3.0244 loss_reg_x: 4.2249 loss_reg_y: 3.3034 loss: 12.0347 2022/08/25 22:22:22 - mmengine - INFO - Epoch(train) [4][95/125] lr: 9.9820e-04 eta: 1 day, 16:53:24 time: 0.5537 data_time: 0.0137 memory: 9483 loss_text: 1.4644 loss_center: 3.0069 loss_reg_x: 4.0617 loss_reg_y: 3.1618 loss: 11.6949 2022/08/25 22:22:25 - mmengine - INFO - Epoch(train) [4][100/125] lr: 9.9820e-04 eta: 1 day, 16:36:14 time: 0.5274 data_time: 0.0178 memory: 9483 loss_text: 1.4577 loss_center: 3.0185 loss_reg_x: 3.8434 loss_reg_y: 3.1702 loss: 11.4899 2022/08/25 22:22:29 - mmengine - INFO - Epoch(train) [4][105/125] lr: 9.9820e-04 eta: 1 day, 16:36:14 time: 0.6778 data_time: 0.0160 memory: 9483 loss_text: 1.4985 loss_center: 3.0227 loss_reg_x: 3.7657 loss_reg_y: 3.3499 loss: 11.6367 2022/08/25 22:22:32 - mmengine - INFO - Epoch(train) [4][110/125] lr: 9.9820e-04 eta: 1 day, 16:29:35 time: 0.6800 data_time: 0.0117 memory: 9483 loss_text: 1.5606 loss_center: 3.0224 loss_reg_x: 3.4385 loss_reg_y: 2.9556 loss: 10.9771 2022/08/25 22:22:34 - mmengine - INFO - Epoch(train) [4][115/125] lr: 9.9820e-04 eta: 1 day, 16:29:35 time: 0.5053 data_time: 0.0124 memory: 9483 loss_text: 1.4821 loss_center: 3.0209 loss_reg_x: 3.3862 loss_reg_y: 2.8146 loss: 10.7038 2022/08/25 22:22:37 - mmengine - INFO - Epoch(train) [4][120/125] lr: 9.9820e-04 eta: 1 day, 16:12:29 time: 0.5101 data_time: 0.0141 memory: 9483 loss_text: 1.4656 loss_center: 3.0145 loss_reg_x: 3.8275 loss_reg_y: 2.9429 loss: 11.2505 2022/08/25 22:22:41 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:22:41 - mmengine - INFO - Epoch(train) [4][125/125] lr: 9.9820e-04 eta: 1 day, 16:12:29 time: 0.7020 data_time: 0.0181 memory: 9483 loss_text: 1.5258 loss_center: 3.0243 loss_reg_x: 4.0454 loss_reg_y: 2.8636 loss: 11.4591 2022/08/25 22:22:45 - mmengine - INFO - Epoch(train) [5][5/125] lr: 9.9760e-04 eta: 1 day, 16:12:29 time: 0.7863 data_time: 0.0936 memory: 9483 loss_text: 1.4884 loss_center: 3.0266 loss_reg_x: 4.1766 loss_reg_y: 3.2193 loss: 11.9109 2022/08/25 22:22:48 - mmengine - INFO - Epoch(train) [5][10/125] lr: 9.9760e-04 eta: 1 day, 15:42:23 time: 0.6715 data_time: 0.0905 memory: 9483 loss_text: 1.4136 loss_center: 3.0118 loss_reg_x: 3.9527 loss_reg_y: 3.0851 loss: 11.4632 2022/08/25 22:22:51 - mmengine - INFO - Epoch(train) [5][15/125] lr: 9.9760e-04 eta: 1 day, 15:42:23 time: 0.6172 data_time: 0.0144 memory: 9483 loss_text: 1.3458 loss_center: 2.9975 loss_reg_x: 3.6127 loss_reg_y: 2.8376 loss: 10.7936 2022/08/25 22:22:54 - mmengine - INFO - Epoch(train) [5][20/125] lr: 9.9760e-04 eta: 1 day, 15:35:05 time: 0.6449 data_time: 0.0140 memory: 9483 loss_text: 1.4369 loss_center: 2.9987 loss_reg_x: 3.9039 loss_reg_y: 3.1235 loss: 11.4630 2022/08/25 22:22:57 - mmengine - INFO - Epoch(train) [5][25/125] lr: 9.9760e-04 eta: 1 day, 15:35:05 time: 0.6200 data_time: 0.0124 memory: 9483 loss_text: 1.4509 loss_center: 3.0066 loss_reg_x: 3.8173 loss_reg_y: 3.2354 loss: 11.5102 2022/08/25 22:23:00 - mmengine - INFO - Epoch(train) [5][30/125] lr: 9.9760e-04 eta: 1 day, 15:21:40 time: 0.5362 data_time: 0.0144 memory: 9483 loss_text: 1.4611 loss_center: 3.0210 loss_reg_x: 3.7766 loss_reg_y: 3.4200 loss: 11.6788 2022/08/25 22:23:02 - mmengine - INFO - Epoch(train) [5][35/125] lr: 9.9760e-04 eta: 1 day, 15:21:40 time: 0.5168 data_time: 0.0150 memory: 9483 loss_text: 1.5801 loss_center: 3.0199 loss_reg_x: 3.9612 loss_reg_y: 3.4371 loss: 11.9983 2022/08/25 22:23:05 - mmengine - INFO - Epoch(train) [5][40/125] lr: 9.9760e-04 eta: 1 day, 15:06:47 time: 0.5020 data_time: 0.0130 memory: 9483 loss_text: 1.5414 loss_center: 3.0145 loss_reg_x: 3.6905 loss_reg_y: 3.3045 loss: 11.5510 2022/08/25 22:23:09 - mmengine - INFO - Epoch(train) [5][45/125] lr: 9.9760e-04 eta: 1 day, 15:06:47 time: 0.6401 data_time: 0.0126 memory: 9483 loss_text: 1.5371 loss_center: 3.0134 loss_reg_x: 3.7006 loss_reg_y: 3.2577 loss: 11.5087 2022/08/25 22:23:11 - mmengine - INFO - Epoch(train) [5][50/125] lr: 9.9760e-04 eta: 1 day, 14:59:27 time: 0.6260 data_time: 0.0151 memory: 9483 loss_text: 1.4988 loss_center: 2.9999 loss_reg_x: 3.4407 loss_reg_y: 2.8425 loss: 10.7819 2022/08/25 22:23:13 - mmengine - INFO - Epoch(train) [5][55/125] lr: 9.9760e-04 eta: 1 day, 14:59:27 time: 0.4921 data_time: 0.0151 memory: 9483 loss_text: 1.4115 loss_center: 2.9894 loss_reg_x: 3.0516 loss_reg_y: 2.4086 loss: 9.8611 2022/08/25 22:23:16 - mmengine - INFO - Epoch(train) [5][60/125] lr: 9.9760e-04 eta: 1 day, 14:44:46 time: 0.4893 data_time: 0.0117 memory: 9483 loss_text: 1.3861 loss_center: 2.9841 loss_reg_x: 3.2337 loss_reg_y: 2.5696 loss: 10.1735 2022/08/25 22:23:20 - mmengine - INFO - Epoch(train) [5][65/125] lr: 9.9760e-04 eta: 1 day, 14:44:46 time: 0.6261 data_time: 0.0121 memory: 9483 loss_text: 1.3670 loss_center: 2.9864 loss_reg_x: 3.4725 loss_reg_y: 2.7731 loss: 10.5990 2022/08/25 22:23:22 - mmengine - INFO - Epoch(train) [5][70/125] lr: 9.9760e-04 eta: 1 day, 14:38:44 time: 0.6379 data_time: 0.0156 memory: 9483 loss_text: 1.3726 loss_center: 2.9878 loss_reg_x: 3.7219 loss_reg_y: 3.1167 loss: 11.1990 2022/08/25 22:23:25 - mmengine - INFO - Epoch(train) [5][75/125] lr: 9.9760e-04 eta: 1 day, 14:38:44 time: 0.4958 data_time: 0.0153 memory: 9483 loss_text: 1.4413 loss_center: 2.9846 loss_reg_x: 3.6782 loss_reg_y: 3.3234 loss: 11.4276 2022/08/25 22:23:27 - mmengine - INFO - Epoch(train) [5][80/125] lr: 9.9760e-04 eta: 1 day, 14:25:36 time: 0.5022 data_time: 0.0120 memory: 9483 loss_text: 1.4531 loss_center: 2.9761 loss_reg_x: 3.3354 loss_reg_y: 2.6629 loss: 10.4275 2022/08/25 22:23:30 - mmengine - INFO - Epoch(train) [5][85/125] lr: 9.9760e-04 eta: 1 day, 14:25:36 time: 0.5422 data_time: 0.0354 memory: 9483 loss_text: 1.4333 loss_center: 2.9810 loss_reg_x: 3.2804 loss_reg_y: 2.5724 loss: 10.2672 2022/08/25 22:23:33 - mmengine - INFO - Epoch(train) [5][90/125] lr: 9.9760e-04 eta: 1 day, 14:14:59 time: 0.5414 data_time: 0.0376 memory: 9483 loss_text: 1.4182 loss_center: 2.9746 loss_reg_x: 3.3074 loss_reg_y: 2.7712 loss: 10.4714 2022/08/25 22:23:35 - mmengine - INFO - Epoch(train) [5][95/125] lr: 9.9760e-04 eta: 1 day, 14:14:59 time: 0.4977 data_time: 0.0146 memory: 9483 loss_text: 1.3651 loss_center: 2.9525 loss_reg_x: 3.1163 loss_reg_y: 2.6115 loss: 10.0453 2022/08/25 22:23:40 - mmengine - INFO - Epoch(train) [5][100/125] lr: 9.9760e-04 eta: 1 day, 14:17:00 time: 0.7779 data_time: 0.0371 memory: 9483 loss_text: 1.3446 loss_center: 2.9650 loss_reg_x: 2.9517 loss_reg_y: 2.5183 loss: 9.7795 2022/08/25 22:23:43 - mmengine - INFO - Epoch(train) [5][105/125] lr: 9.9760e-04 eta: 1 day, 14:17:00 time: 0.7814 data_time: 0.0402 memory: 9483 loss_text: 1.4133 loss_center: 2.9940 loss_reg_x: 3.4637 loss_reg_y: 3.0560 loss: 10.9270 2022/08/25 22:23:45 - mmengine - INFO - Epoch(train) [5][110/125] lr: 9.9760e-04 eta: 1 day, 14:04:37 time: 0.4972 data_time: 0.0149 memory: 9483 loss_text: 1.4505 loss_center: 2.9947 loss_reg_x: 3.4011 loss_reg_y: 3.3376 loss: 11.1839 2022/08/25 22:23:48 - mmengine - INFO - Epoch(train) [5][115/125] lr: 9.9760e-04 eta: 1 day, 14:04:37 time: 0.5048 data_time: 0.0218 memory: 9483 loss_text: 1.4068 loss_center: 2.9800 loss_reg_x: 3.1033 loss_reg_y: 2.8589 loss: 10.3490 2022/08/25 22:23:50 - mmengine - INFO - Epoch(train) [5][120/125] lr: 9.9760e-04 eta: 1 day, 13:52:04 time: 0.4861 data_time: 0.0234 memory: 9483 loss_text: 1.4019 loss_center: 2.9859 loss_reg_x: 3.4364 loss_reg_y: 2.9026 loss: 10.7268 2022/08/25 22:23:54 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:23:54 - mmengine - INFO - Epoch(train) [5][125/125] lr: 9.9760e-04 eta: 1 day, 13:52:04 time: 0.5738 data_time: 0.0133 memory: 9483 loss_text: 1.3499 loss_center: 2.9720 loss_reg_x: 3.1899 loss_reg_y: 2.8924 loss: 10.4042 2022/08/25 22:23:57 - mmengine - INFO - Epoch(train) [6][5/125] lr: 9.9700e-04 eta: 1 day, 13:52:04 time: 0.6437 data_time: 0.0674 memory: 9483 loss_text: 1.3886 loss_center: 2.9722 loss_reg_x: 3.2180 loss_reg_y: 2.6920 loss: 10.2709 2022/08/25 22:24:01 - mmengine - INFO - Epoch(train) [6][10/125] lr: 9.9700e-04 eta: 1 day, 13:32:57 time: 0.7082 data_time: 0.0670 memory: 9483 loss_text: 1.4189 loss_center: 2.9887 loss_reg_x: 3.5830 loss_reg_y: 2.7382 loss: 10.7287 2022/08/25 22:24:03 - mmengine - INFO - Epoch(train) [6][15/125] lr: 9.9700e-04 eta: 1 day, 13:32:57 time: 0.6532 data_time: 0.0126 memory: 9483 loss_text: 1.3487 loss_center: 2.9674 loss_reg_x: 3.5080 loss_reg_y: 2.7014 loss: 10.5255 2022/08/25 22:24:06 - mmengine - INFO - Epoch(train) [6][20/125] lr: 9.9700e-04 eta: 1 day, 13:22:31 time: 0.5098 data_time: 0.0125 memory: 9483 loss_text: 1.2956 loss_center: 2.9532 loss_reg_x: 3.0468 loss_reg_y: 2.3591 loss: 9.6547 2022/08/25 22:24:10 - mmengine - INFO - Epoch(train) [6][25/125] lr: 9.9700e-04 eta: 1 day, 13:22:31 time: 0.6681 data_time: 0.0165 memory: 9483 loss_text: 1.3437 loss_center: 2.9651 loss_reg_x: 2.8288 loss_reg_y: 2.3373 loss: 9.4749 2022/08/25 22:24:12 - mmengine - INFO - Epoch(train) [6][30/125] lr: 9.9700e-04 eta: 1 day, 13:18:57 time: 0.6475 data_time: 0.0176 memory: 9483 loss_text: 1.4160 loss_center: 2.9596 loss_reg_x: 2.9955 loss_reg_y: 2.4234 loss: 9.7945 2022/08/25 22:24:15 - mmengine - INFO - Epoch(train) [6][35/125] lr: 9.9700e-04 eta: 1 day, 13:18:57 time: 0.5001 data_time: 0.0125 memory: 9483 loss_text: 1.3597 loss_center: 2.9412 loss_reg_x: 3.1419 loss_reg_y: 2.5676 loss: 10.0104 2022/08/25 22:24:18 - mmengine - INFO - Epoch(train) [6][40/125] lr: 9.9700e-04 eta: 1 day, 13:11:34 time: 0.5640 data_time: 0.0120 memory: 9483 loss_text: 1.3166 loss_center: 2.9624 loss_reg_x: 3.2937 loss_reg_y: 2.7957 loss: 10.3684 2022/08/25 22:24:21 - mmengine - INFO - Epoch(train) [6][45/125] lr: 9.9700e-04 eta: 1 day, 13:11:34 time: 0.5542 data_time: 0.0152 memory: 9483 loss_text: 1.3876 loss_center: 2.9802 loss_reg_x: 3.3222 loss_reg_y: 2.7799 loss: 10.4699 2022/08/25 22:24:23 - mmengine - INFO - Epoch(train) [6][50/125] lr: 9.9700e-04 eta: 1 day, 13:02:18 time: 0.5182 data_time: 0.0150 memory: 9483 loss_text: 1.3971 loss_center: 2.9582 loss_reg_x: 3.2131 loss_reg_y: 2.6994 loss: 10.2677 2022/08/25 22:24:26 - mmengine - INFO - Epoch(train) [6][55/125] lr: 9.9700e-04 eta: 1 day, 13:02:18 time: 0.5267 data_time: 0.0123 memory: 9483 loss_text: 1.3449 loss_center: 2.9601 loss_reg_x: 3.3067 loss_reg_y: 2.6519 loss: 10.2636 2022/08/25 22:24:29 - mmengine - INFO - Epoch(train) [6][60/125] lr: 9.9700e-04 eta: 1 day, 12:54:20 time: 0.5409 data_time: 0.0134 memory: 9483 loss_text: 1.3342 loss_center: 2.9690 loss_reg_x: 3.4858 loss_reg_y: 2.6432 loss: 10.4322 2022/08/25 22:24:31 - mmengine - INFO - Epoch(train) [6][65/125] lr: 9.9700e-04 eta: 1 day, 12:54:20 time: 0.5174 data_time: 0.0159 memory: 9483 loss_text: 1.3469 loss_center: 2.9772 loss_reg_x: 3.7105 loss_reg_y: 3.0359 loss: 11.0705 2022/08/25 22:24:34 - mmengine - INFO - Epoch(train) [6][70/125] lr: 9.9700e-04 eta: 1 day, 12:44:27 time: 0.4935 data_time: 0.0150 memory: 9483 loss_text: 1.3491 loss_center: 2.9605 loss_reg_x: 3.5344 loss_reg_y: 3.2722 loss: 11.1161 2022/08/25 22:24:36 - mmengine - INFO - Epoch(train) [6][75/125] lr: 9.9700e-04 eta: 1 day, 12:44:27 time: 0.5296 data_time: 0.0120 memory: 9483 loss_text: 1.3063 loss_center: 2.8812 loss_reg_x: 3.1195 loss_reg_y: 2.9568 loss: 10.2637 2022/08/25 22:24:40 - mmengine - INFO - Epoch(train) [6][80/125] lr: 9.9700e-04 eta: 1 day, 12:39:34 time: 0.5999 data_time: 0.0336 memory: 9483 loss_text: 1.2790 loss_center: 2.8976 loss_reg_x: 2.9496 loss_reg_y: 2.7463 loss: 9.8725 2022/08/25 22:24:42 - mmengine - INFO - Epoch(train) [6][85/125] lr: 9.9700e-04 eta: 1 day, 12:39:34 time: 0.5786 data_time: 0.0368 memory: 9483 loss_text: 1.2368 loss_center: 2.9557 loss_reg_x: 2.7597 loss_reg_y: 2.6417 loss: 9.5939 2022/08/25 22:24:45 - mmengine - INFO - Epoch(train) [6][90/125] lr: 9.9700e-04 eta: 1 day, 12:30:24 time: 0.4987 data_time: 0.0148 memory: 9483 loss_text: 1.3401 loss_center: 2.9592 loss_reg_x: 3.2313 loss_reg_y: 2.5891 loss: 10.1197 2022/08/25 22:24:47 - mmengine - INFO - Epoch(train) [6][95/125] lr: 9.9700e-04 eta: 1 day, 12:30:24 time: 0.4891 data_time: 0.0126 memory: 9483 loss_text: 1.5222 loss_center: 2.9776 loss_reg_x: 3.5170 loss_reg_y: 3.2223 loss: 11.2391 2022/08/25 22:24:49 - mmengine - INFO - Epoch(train) [6][100/125] lr: 9.9700e-04 eta: 1 day, 12:21:18 time: 0.4944 data_time: 0.0125 memory: 9483 loss_text: 1.4783 loss_center: 2.9695 loss_reg_x: 3.2352 loss_reg_y: 3.2864 loss: 10.9694 2022/08/25 22:24:52 - mmengine - INFO - Epoch(train) [6][105/125] lr: 9.9700e-04 eta: 1 day, 12:21:18 time: 0.5195 data_time: 0.0121 memory: 9483 loss_text: 1.3497 loss_center: 2.9219 loss_reg_x: 3.0557 loss_reg_y: 2.5092 loss: 9.8365 2022/08/25 22:24:55 - mmengine - INFO - Epoch(train) [6][110/125] lr: 9.9700e-04 eta: 1 day, 12:13:15 time: 0.5137 data_time: 0.0164 memory: 9483 loss_text: 1.3025 loss_center: 2.9361 loss_reg_x: 3.0977 loss_reg_y: 2.7011 loss: 10.0374 2022/08/25 22:24:57 - mmengine - INFO - Epoch(train) [6][115/125] lr: 9.9700e-04 eta: 1 day, 12:13:15 time: 0.5005 data_time: 0.0160 memory: 9483 loss_text: 1.3415 loss_center: 2.9730 loss_reg_x: 3.2973 loss_reg_y: 3.0990 loss: 10.7109 2022/08/25 22:25:03 - mmengine - INFO - Epoch(train) [6][120/125] lr: 9.9700e-04 eta: 1 day, 12:17:58 time: 0.8136 data_time: 0.0119 memory: 9483 loss_text: 1.2912 loss_center: 2.9567 loss_reg_x: 3.0735 loss_reg_y: 3.0530 loss: 10.3744 2022/08/25 22:25:05 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:25:05 - mmengine - INFO - Epoch(train) [6][125/125] lr: 9.9700e-04 eta: 1 day, 12:17:58 time: 0.8320 data_time: 0.0163 memory: 9483 loss_text: 1.2227 loss_center: 2.9377 loss_reg_x: 2.8205 loss_reg_y: 2.6854 loss: 9.6663 2022/08/25 22:25:09 - mmengine - INFO - Epoch(train) [7][5/125] lr: 9.9640e-04 eta: 1 day, 12:17:58 time: 0.6130 data_time: 0.1129 memory: 9483 loss_text: 1.2085 loss_center: 2.9139 loss_reg_x: 2.8349 loss_reg_y: 2.4357 loss: 9.3929 2022/08/25 22:25:11 - mmengine - INFO - Epoch(train) [7][10/125] lr: 9.9640e-04 eta: 1 day, 11:58:20 time: 0.5747 data_time: 0.1082 memory: 9483 loss_text: 1.2754 loss_center: 2.9285 loss_reg_x: 3.0682 loss_reg_y: 2.5795 loss: 9.8516 2022/08/25 22:25:14 - mmengine - INFO - Epoch(train) [7][15/125] lr: 9.9640e-04 eta: 1 day, 11:58:20 time: 0.4797 data_time: 0.0139 memory: 9483 loss_text: 1.3622 loss_center: 2.9562 loss_reg_x: 3.1680 loss_reg_y: 2.7036 loss: 10.1899 2022/08/25 22:25:16 - mmengine - INFO - Epoch(train) [7][20/125] lr: 9.9640e-04 eta: 1 day, 11:51:01 time: 0.5152 data_time: 0.0172 memory: 9483 loss_text: 1.3024 loss_center: 2.9539 loss_reg_x: 3.0982 loss_reg_y: 2.7828 loss: 10.1374 2022/08/25 22:25:21 - mmengine - INFO - Epoch(train) [7][25/125] lr: 9.9640e-04 eta: 1 day, 11:51:01 time: 0.6999 data_time: 0.0289 memory: 9483 loss_text: 1.2946 loss_center: 2.9521 loss_reg_x: 2.9868 loss_reg_y: 2.5986 loss: 9.8321 2022/08/25 22:25:23 - mmengine - INFO - Epoch(train) [7][30/125] lr: 9.9640e-04 eta: 1 day, 11:51:28 time: 0.7053 data_time: 0.0273 memory: 9483 loss_text: 1.2948 loss_center: 2.9473 loss_reg_x: 2.8810 loss_reg_y: 2.4577 loss: 9.5808 2022/08/25 22:25:26 - mmengine - INFO - Epoch(train) [7][35/125] lr: 9.9640e-04 eta: 1 day, 11:51:28 time: 0.5334 data_time: 0.0129 memory: 9483 loss_text: 1.2623 loss_center: 2.9427 loss_reg_x: 2.9733 loss_reg_y: 2.6118 loss: 9.7900 2022/08/25 22:25:29 - mmengine - INFO - Epoch(train) [7][40/125] lr: 9.9640e-04 eta: 1 day, 11:46:18 time: 0.5630 data_time: 0.0144 memory: 9483 loss_text: 1.3041 loss_center: 2.9462 loss_reg_x: 3.0181 loss_reg_y: 2.6523 loss: 9.9207 2022/08/25 22:25:32 - mmengine - INFO - Epoch(train) [7][45/125] lr: 9.9640e-04 eta: 1 day, 11:46:18 time: 0.5553 data_time: 0.0145 memory: 9483 loss_text: 1.4219 loss_center: 2.9588 loss_reg_x: 3.0648 loss_reg_y: 2.5767 loss: 10.0222 2022/08/25 22:25:34 - mmengine - INFO - Epoch(train) [7][50/125] lr: 9.9640e-04 eta: 1 day, 11:38:55 time: 0.5033 data_time: 0.0153 memory: 9483 loss_text: 1.5186 loss_center: 2.9624 loss_reg_x: 2.9493 loss_reg_y: 2.5120 loss: 9.9423 2022/08/25 22:25:37 - mmengine - INFO - Epoch(train) [7][55/125] lr: 9.9640e-04 eta: 1 day, 11:38:55 time: 0.5137 data_time: 0.0149 memory: 9483 loss_text: 1.5344 loss_center: 2.9432 loss_reg_x: 2.8646 loss_reg_y: 2.3744 loss: 9.7167 2022/08/25 22:25:40 - mmengine - INFO - Epoch(train) [7][60/125] lr: 9.9640e-04 eta: 1 day, 11:33:10 time: 0.5405 data_time: 0.0139 memory: 9483 loss_text: 1.4982 loss_center: 2.9483 loss_reg_x: 2.8908 loss_reg_y: 2.4835 loss: 9.8209 2022/08/25 22:25:42 - mmengine - INFO - Epoch(train) [7][65/125] lr: 9.9640e-04 eta: 1 day, 11:33:10 time: 0.5261 data_time: 0.0146 memory: 9483 loss_text: 1.3978 loss_center: 2.9445 loss_reg_x: 2.9079 loss_reg_y: 2.4598 loss: 9.7100 2022/08/25 22:25:45 - mmengine - INFO - Epoch(train) [7][70/125] lr: 9.9640e-04 eta: 1 day, 11:26:14 time: 0.5057 data_time: 0.0119 memory: 9483 loss_text: 1.3561 loss_center: 2.9306 loss_reg_x: 3.3046 loss_reg_y: 2.4047 loss: 9.9960 2022/08/25 22:25:47 - mmengine - INFO - Epoch(train) [7][75/125] lr: 9.9640e-04 eta: 1 day, 11:26:14 time: 0.5140 data_time: 0.0114 memory: 9483 loss_text: 1.3612 loss_center: 2.9453 loss_reg_x: 3.4652 loss_reg_y: 2.8287 loss: 10.6004 2022/08/25 22:25:50 - mmengine - INFO - Epoch(train) [7][80/125] lr: 9.9640e-04 eta: 1 day, 11:20:51 time: 0.5427 data_time: 0.0149 memory: 9483 loss_text: 1.4138 loss_center: 2.9582 loss_reg_x: 3.2844 loss_reg_y: 2.9403 loss: 10.5968 2022/08/25 22:25:53 - mmengine - INFO - Epoch(train) [7][85/125] lr: 9.9640e-04 eta: 1 day, 11:20:51 time: 0.5425 data_time: 0.0158 memory: 9483 loss_text: 1.4228 loss_center: 2.9509 loss_reg_x: 3.1546 loss_reg_y: 2.6526 loss: 10.1810 2022/08/25 22:25:55 - mmengine - INFO - Epoch(train) [7][90/125] lr: 9.9640e-04 eta: 1 day, 11:14:57 time: 0.5256 data_time: 0.0128 memory: 9483 loss_text: 1.2869 loss_center: 2.9460 loss_reg_x: 3.0892 loss_reg_y: 2.4219 loss: 9.7440 2022/08/25 22:26:01 - mmengine - INFO - Epoch(train) [7][95/125] lr: 9.9640e-04 eta: 1 day, 11:14:57 time: 0.8155 data_time: 0.0287 memory: 9483 loss_text: 1.3248 loss_center: 2.9580 loss_reg_x: 3.1405 loss_reg_y: 2.6009 loss: 10.0242 2022/08/25 22:26:03 - mmengine - INFO - Epoch(train) [7][100/125] lr: 9.9640e-04 eta: 1 day, 11:19:34 time: 0.8093 data_time: 0.0318 memory: 9483 loss_text: 1.3527 loss_center: 2.9427 loss_reg_x: 3.0709 loss_reg_y: 2.4006 loss: 9.7668 2022/08/25 22:26:06 - mmengine - INFO - Epoch(train) [7][105/125] lr: 9.9640e-04 eta: 1 day, 11:19:34 time: 0.5288 data_time: 0.0189 memory: 9483 loss_text: 1.3101 loss_center: 2.9481 loss_reg_x: 2.9912 loss_reg_y: 2.4232 loss: 9.6726 2022/08/25 22:26:08 - mmengine - INFO - Epoch(train) [7][110/125] lr: 9.9640e-04 eta: 1 day, 11:13:22 time: 0.5129 data_time: 0.0156 memory: 9483 loss_text: 1.3117 loss_center: 2.9598 loss_reg_x: 3.1176 loss_reg_y: 2.9198 loss: 10.3089 2022/08/25 22:26:11 - mmengine - INFO - Epoch(train) [7][115/125] lr: 9.9640e-04 eta: 1 day, 11:13:22 time: 0.4970 data_time: 0.0128 memory: 9483 loss_text: 1.2666 loss_center: 2.9321 loss_reg_x: 3.1173 loss_reg_y: 2.7759 loss: 10.0918 2022/08/25 22:26:14 - mmengine - INFO - Epoch(train) [7][120/125] lr: 9.9640e-04 eta: 1 day, 11:07:53 time: 0.5294 data_time: 0.0167 memory: 9483 loss_text: 1.2095 loss_center: 2.9273 loss_reg_x: 3.0865 loss_reg_y: 2.6868 loss: 9.9101 2022/08/25 22:26:16 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:26:16 - mmengine - INFO - Epoch(train) [7][125/125] lr: 9.9640e-04 eta: 1 day, 11:07:53 time: 0.5247 data_time: 0.0161 memory: 9483 loss_text: 1.2130 loss_center: 2.9360 loss_reg_x: 2.9712 loss_reg_y: 2.6765 loss: 9.7968 2022/08/25 22:26:21 - mmengine - INFO - Epoch(train) [8][5/125] lr: 9.9580e-04 eta: 1 day, 11:07:53 time: 0.7423 data_time: 0.0860 memory: 9483 loss_text: 1.2304 loss_center: 2.9290 loss_reg_x: 2.7313 loss_reg_y: 2.4557 loss: 9.3464 2022/08/25 22:26:24 - mmengine - INFO - Epoch(train) [8][10/125] lr: 9.9580e-04 eta: 1 day, 10:58:16 time: 0.7478 data_time: 0.0875 memory: 9483 loss_text: 1.3117 loss_center: 2.9457 loss_reg_x: 3.1234 loss_reg_y: 2.8620 loss: 10.2428 2022/08/25 22:26:26 - mmengine - INFO - Epoch(train) [8][15/125] lr: 9.9580e-04 eta: 1 day, 10:58:16 time: 0.5011 data_time: 0.0165 memory: 9483 loss_text: 1.4369 loss_center: 2.9404 loss_reg_x: 3.1525 loss_reg_y: 2.8612 loss: 10.3910 2022/08/25 22:26:30 - mmengine - INFO - Epoch(train) [8][20/125] lr: 9.9580e-04 eta: 1 day, 10:57:36 time: 0.6586 data_time: 0.0237 memory: 9483 loss_text: 1.4356 loss_center: 2.9437 loss_reg_x: 2.9359 loss_reg_y: 2.4384 loss: 9.7535 2022/08/25 22:26:33 - mmengine - INFO - Epoch(train) [8][25/125] lr: 9.9580e-04 eta: 1 day, 10:57:36 time: 0.6591 data_time: 0.0219 memory: 9483 loss_text: 1.3385 loss_center: 2.9270 loss_reg_x: 2.6905 loss_reg_y: 2.1382 loss: 9.0942 2022/08/25 22:26:35 - mmengine - INFO - Epoch(train) [8][30/125] lr: 9.9580e-04 eta: 1 day, 10:51:11 time: 0.4911 data_time: 0.0149 memory: 9483 loss_text: 1.2951 loss_center: 2.9059 loss_reg_x: 2.8409 loss_reg_y: 2.3695 loss: 9.4114 2022/08/25 22:26:38 - mmengine - INFO - Epoch(train) [8][35/125] lr: 9.9580e-04 eta: 1 day, 10:51:11 time: 0.5347 data_time: 0.0140 memory: 9483 loss_text: 1.3264 loss_center: 2.9236 loss_reg_x: 3.3149 loss_reg_y: 2.8283 loss: 10.3932 2022/08/25 22:26:41 - mmengine - INFO - Epoch(train) [8][40/125] lr: 9.9580e-04 eta: 1 day, 10:47:00 time: 0.5523 data_time: 0.0181 memory: 9483 loss_text: 1.3542 loss_center: 2.9334 loss_reg_x: 3.1906 loss_reg_y: 3.0797 loss: 10.5580 2022/08/25 22:26:43 - mmengine - INFO - Epoch(train) [8][45/125] lr: 9.9580e-04 eta: 1 day, 10:47:00 time: 0.5117 data_time: 0.0196 memory: 9483 loss_text: 1.2930 loss_center: 2.9401 loss_reg_x: 3.0063 loss_reg_y: 2.9397 loss: 10.1790 2022/08/25 22:26:46 - mmengine - INFO - Epoch(train) [8][50/125] lr: 9.9580e-04 eta: 1 day, 10:41:38 time: 0.5151 data_time: 0.0161 memory: 9483 loss_text: 1.3123 loss_center: 2.9453 loss_reg_x: 3.5305 loss_reg_y: 2.8986 loss: 10.6867 2022/08/25 22:26:49 - mmengine - INFO - Epoch(train) [8][55/125] lr: 9.9580e-04 eta: 1 day, 10:41:38 time: 0.5664 data_time: 0.0268 memory: 9483 loss_text: 1.3421 loss_center: 2.9452 loss_reg_x: 3.7044 loss_reg_y: 2.9649 loss: 10.9566 2022/08/25 22:26:52 - mmengine - INFO - Epoch(train) [8][60/125] lr: 9.9580e-04 eta: 1 day, 10:38:13 time: 0.5698 data_time: 0.0247 memory: 9483 loss_text: 1.2881 loss_center: 2.9249 loss_reg_x: 3.1031 loss_reg_y: 2.5272 loss: 9.8433 2022/08/25 22:26:54 - mmengine - INFO - Epoch(train) [8][65/125] lr: 9.9580e-04 eta: 1 day, 10:38:13 time: 0.5400 data_time: 0.0128 memory: 9483 loss_text: 1.3429 loss_center: 2.9079 loss_reg_x: 3.0006 loss_reg_y: 2.4061 loss: 9.6575 2022/08/25 22:26:57 - mmengine - INFO - Epoch(train) [8][70/125] lr: 9.9580e-04 eta: 1 day, 10:33:23 time: 0.5248 data_time: 0.0151 memory: 9483 loss_text: 1.2780 loss_center: 2.8988 loss_reg_x: 2.8395 loss_reg_y: 2.1665 loss: 9.1829 2022/08/25 22:26:59 - mmengine - INFO - Epoch(train) [8][75/125] lr: 9.9580e-04 eta: 1 day, 10:33:23 time: 0.4849 data_time: 0.0146 memory: 9483 loss_text: 1.2822 loss_center: 2.9163 loss_reg_x: 3.3228 loss_reg_y: 2.8028 loss: 10.3241 2022/08/25 22:27:02 - mmengine - INFO - Epoch(train) [8][80/125] lr: 9.9580e-04 eta: 1 day, 10:28:11 time: 0.5109 data_time: 0.0129 memory: 9483 loss_text: 1.4091 loss_center: 2.9357 loss_reg_x: 3.8533 loss_reg_y: 2.9336 loss: 11.1317 2022/08/25 22:27:04 - mmengine - INFO - Epoch(train) [8][85/125] lr: 9.9580e-04 eta: 1 day, 10:28:11 time: 0.5203 data_time: 0.0140 memory: 9483 loss_text: 1.5597 loss_center: 2.9585 loss_reg_x: 3.8783 loss_reg_y: 2.8049 loss: 11.2013 2022/08/25 22:27:07 - mmengine - INFO - Epoch(train) [8][90/125] lr: 9.9580e-04 eta: 1 day, 10:23:13 time: 0.5143 data_time: 0.0154 memory: 9483 loss_text: 1.5578 loss_center: 2.9518 loss_reg_x: 3.7955 loss_reg_y: 2.8021 loss: 11.1072 2022/08/25 22:27:13 - mmengine - INFO - Epoch(train) [8][95/125] lr: 9.9580e-04 eta: 1 day, 10:23:13 time: 0.9071 data_time: 0.0160 memory: 9483 loss_text: 1.3602 loss_center: 2.9110 loss_reg_x: 3.2232 loss_reg_y: 2.4476 loss: 9.9420 2022/08/25 22:27:16 - mmengine - INFO - Epoch(train) [8][100/125] lr: 9.9580e-04 eta: 1 day, 10:29:45 time: 0.8721 data_time: 0.0148 memory: 9483 loss_text: 1.3085 loss_center: 2.9230 loss_reg_x: 3.1246 loss_reg_y: 2.6626 loss: 10.0186 2022/08/25 22:27:19 - mmengine - INFO - Epoch(train) [8][105/125] lr: 9.9580e-04 eta: 1 day, 10:29:45 time: 0.5212 data_time: 0.0182 memory: 9483 loss_text: 1.3311 loss_center: 2.9198 loss_reg_x: 3.6449 loss_reg_y: 2.8820 loss: 10.7778 2022/08/25 22:27:21 - mmengine - INFO - Epoch(train) [8][110/125] lr: 9.9580e-04 eta: 1 day, 10:25:28 time: 0.5335 data_time: 0.0170 memory: 9483 loss_text: 1.3145 loss_center: 2.9047 loss_reg_x: 3.3936 loss_reg_y: 2.7228 loss: 10.3356 2022/08/25 22:27:24 - mmengine - INFO - Epoch(train) [8][115/125] lr: 9.9580e-04 eta: 1 day, 10:25:28 time: 0.4936 data_time: 0.0119 memory: 9483 loss_text: 1.3692 loss_center: 2.9205 loss_reg_x: 2.8498 loss_reg_y: 2.4367 loss: 9.5762 2022/08/25 22:27:26 - mmengine - INFO - Epoch(train) [8][120/125] lr: 9.9580e-04 eta: 1 day, 10:20:34 time: 0.5109 data_time: 0.0118 memory: 9483 loss_text: 1.3683 loss_center: 2.9157 loss_reg_x: 3.0127 loss_reg_y: 2.4874 loss: 9.7841 2022/08/25 22:27:32 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:27:32 - mmengine - INFO - Epoch(train) [8][125/125] lr: 9.9580e-04 eta: 1 day, 10:20:34 time: 0.8165 data_time: 0.0140 memory: 9483 loss_text: 1.3000 loss_center: 2.9202 loss_reg_x: 3.0959 loss_reg_y: 2.7864 loss: 10.1025 2022/08/25 22:27:35 - mmengine - INFO - Epoch(train) [9][5/125] lr: 9.9520e-04 eta: 1 day, 10:20:34 time: 0.8554 data_time: 0.0733 memory: 9483 loss_text: 1.2569 loss_center: 2.9282 loss_reg_x: 2.7020 loss_reg_y: 2.5553 loss: 9.4424 2022/08/25 22:27:37 - mmengine - INFO - Epoch(train) [9][10/125] lr: 9.9520e-04 eta: 1 day, 10:07:05 time: 0.5620 data_time: 0.0721 memory: 9483 loss_text: 1.1774 loss_center: 2.9166 loss_reg_x: 2.5414 loss_reg_y: 2.2638 loss: 8.8992 2022/08/25 22:27:40 - mmengine - INFO - Epoch(train) [9][15/125] lr: 9.9520e-04 eta: 1 day, 10:07:05 time: 0.5098 data_time: 0.0150 memory: 9483 loss_text: 1.1679 loss_center: 2.9237 loss_reg_x: 2.6704 loss_reg_y: 2.6412 loss: 9.4032 2022/08/25 22:27:43 - mmengine - INFO - Epoch(train) [9][20/125] lr: 9.9520e-04 eta: 1 day, 10:02:36 time: 0.5149 data_time: 0.0149 memory: 9483 loss_text: 1.3436 loss_center: 2.9439 loss_reg_x: 2.9260 loss_reg_y: 2.9173 loss: 10.1308 2022/08/25 22:27:45 - mmengine - INFO - Epoch(train) [9][25/125] lr: 9.9520e-04 eta: 1 day, 10:02:36 time: 0.5034 data_time: 0.0125 memory: 9483 loss_text: 1.4330 loss_center: 2.9385 loss_reg_x: 2.7039 loss_reg_y: 2.7100 loss: 9.7854 2022/08/25 22:27:52 - mmengine - INFO - Epoch(train) [9][30/125] lr: 9.9520e-04 eta: 1 day, 10:09:42 time: 0.8963 data_time: 0.0131 memory: 9483 loss_text: 1.3554 loss_center: 2.9348 loss_reg_x: 2.6504 loss_reg_y: 2.6979 loss: 9.6385 2022/08/25 22:27:54 - mmengine - INFO - Epoch(train) [9][35/125] lr: 9.9520e-04 eta: 1 day, 10:09:42 time: 0.9130 data_time: 0.0156 memory: 9483 loss_text: 1.3193 loss_center: 2.9220 loss_reg_x: 3.3127 loss_reg_y: 2.9186 loss: 10.4726 2022/08/25 22:27:56 - mmengine - INFO - Epoch(train) [9][40/125] lr: 9.9520e-04 eta: 1 day, 10:04:41 time: 0.4950 data_time: 0.0143 memory: 9483 loss_text: 1.2887 loss_center: 2.9116 loss_reg_x: 3.5013 loss_reg_y: 2.7694 loss: 10.4710 2022/08/25 22:28:00 - mmengine - INFO - Epoch(train) [9][45/125] lr: 9.9520e-04 eta: 1 day, 10:04:41 time: 0.5388 data_time: 0.0119 memory: 9483 loss_text: 1.3647 loss_center: 2.9406 loss_reg_x: 3.3849 loss_reg_y: 2.7398 loss: 10.4300 2022/08/25 22:28:02 - mmengine - INFO - Epoch(train) [9][50/125] lr: 9.9520e-04 eta: 1 day, 10:01:06 time: 0.5407 data_time: 0.0139 memory: 9483 loss_text: 1.3332 loss_center: 2.9462 loss_reg_x: 3.1625 loss_reg_y: 2.6588 loss: 10.1007 2022/08/25 22:28:05 - mmengine - INFO - Epoch(train) [9][55/125] lr: 9.9520e-04 eta: 1 day, 10:01:06 time: 0.5623 data_time: 0.0175 memory: 9483 loss_text: 1.2939 loss_center: 2.9482 loss_reg_x: 3.0200 loss_reg_y: 2.5520 loss: 9.8140 2022/08/25 22:28:08 - mmengine - INFO - Epoch(train) [9][60/125] lr: 9.9520e-04 eta: 1 day, 9:58:43 time: 0.5792 data_time: 0.0159 memory: 9483 loss_text: 1.4050 loss_center: 2.9448 loss_reg_x: 3.2444 loss_reg_y: 2.4962 loss: 10.0904 2022/08/25 22:28:11 - mmengine - INFO - Epoch(train) [9][65/125] lr: 9.9520e-04 eta: 1 day, 9:58:43 time: 0.5470 data_time: 0.0229 memory: 9483 loss_text: 1.3777 loss_center: 2.9204 loss_reg_x: 3.2223 loss_reg_y: 2.3924 loss: 9.9127 2022/08/25 22:28:13 - mmengine - INFO - Epoch(train) [9][70/125] lr: 9.9520e-04 eta: 1 day, 9:55:36 time: 0.5525 data_time: 0.0227 memory: 9483 loss_text: 1.2936 loss_center: 2.9103 loss_reg_x: 3.0364 loss_reg_y: 2.1632 loss: 9.4035 2022/08/25 22:28:16 - mmengine - INFO - Epoch(train) [9][75/125] lr: 9.9520e-04 eta: 1 day, 9:55:36 time: 0.5295 data_time: 0.0149 memory: 9483 loss_text: 1.2675 loss_center: 2.9098 loss_reg_x: 3.0306 loss_reg_y: 2.2180 loss: 9.4259 2022/08/25 22:28:18 - mmengine - INFO - Epoch(train) [9][80/125] lr: 9.9520e-04 eta: 1 day, 9:51:34 time: 0.5186 data_time: 0.0161 memory: 9483 loss_text: 1.3512 loss_center: 2.9288 loss_reg_x: 2.9014 loss_reg_y: 2.5536 loss: 9.7350 2022/08/25 22:28:21 - mmengine - INFO - Epoch(train) [9][85/125] lr: 9.9520e-04 eta: 1 day, 9:51:34 time: 0.5272 data_time: 0.0130 memory: 9483 loss_text: 1.3706 loss_center: 2.9232 loss_reg_x: 2.8245 loss_reg_y: 2.4175 loss: 9.5358 2022/08/25 22:28:24 - mmengine - INFO - Epoch(train) [9][90/125] lr: 9.9520e-04 eta: 1 day, 9:47:36 time: 0.5190 data_time: 0.0115 memory: 9483 loss_text: 1.3552 loss_center: 2.9203 loss_reg_x: 2.9013 loss_reg_y: 2.3246 loss: 9.5014 2022/08/25 22:28:26 - mmengine - INFO - Epoch(train) [9][95/125] lr: 9.9520e-04 eta: 1 day, 9:47:36 time: 0.5003 data_time: 0.0146 memory: 9483 loss_text: 1.3582 loss_center: 2.9262 loss_reg_x: 2.8050 loss_reg_y: 2.2472 loss: 9.3367 2022/08/25 22:28:32 - mmengine - INFO - Epoch(train) [9][100/125] lr: 9.9520e-04 eta: 1 day, 9:54:08 time: 0.8878 data_time: 0.0720 memory: 9483 loss_text: 1.3272 loss_center: 2.9092 loss_reg_x: 2.4740 loss_reg_y: 2.0761 loss: 8.7865 2022/08/25 22:28:35 - mmengine - INFO - Epoch(train) [9][105/125] lr: 9.9520e-04 eta: 1 day, 9:54:08 time: 0.8729 data_time: 0.0726 memory: 9483 loss_text: 1.3670 loss_center: 2.9099 loss_reg_x: 2.5930 loss_reg_y: 2.2813 loss: 9.1512 2022/08/25 22:28:38 - mmengine - INFO - Epoch(train) [9][110/125] lr: 9.9520e-04 eta: 1 day, 9:49:52 time: 0.5059 data_time: 0.0177 memory: 9483 loss_text: 1.3714 loss_center: 2.9184 loss_reg_x: 2.8026 loss_reg_y: 2.5221 loss: 9.6145 2022/08/25 22:28:40 - mmengine - INFO - Epoch(train) [9][115/125] lr: 9.9520e-04 eta: 1 day, 9:49:52 time: 0.5256 data_time: 0.0150 memory: 9483 loss_text: 1.3759 loss_center: 2.9390 loss_reg_x: 2.9858 loss_reg_y: 2.7636 loss: 10.0643 2022/08/25 22:28:43 - mmengine - INFO - Epoch(train) [9][120/125] lr: 9.9520e-04 eta: 1 day, 9:45:55 time: 0.5149 data_time: 0.0135 memory: 9483 loss_text: 1.3636 loss_center: 2.9393 loss_reg_x: 3.1734 loss_reg_y: 2.7563 loss: 10.2325 2022/08/25 22:28:45 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:28:45 - mmengine - INFO - Epoch(train) [9][125/125] lr: 9.9520e-04 eta: 1 day, 9:45:55 time: 0.5085 data_time: 0.0152 memory: 9483 loss_text: 1.3242 loss_center: 2.9036 loss_reg_x: 3.0390 loss_reg_y: 2.5013 loss: 9.7682 2022/08/25 22:28:49 - mmengine - INFO - Epoch(train) [10][5/125] lr: 9.9460e-04 eta: 1 day, 9:45:55 time: 0.6423 data_time: 0.0651 memory: 9483 loss_text: 1.3151 loss_center: 2.9130 loss_reg_x: 3.0490 loss_reg_y: 2.7337 loss: 10.0108 2022/08/25 22:28:52 - mmengine - INFO - Epoch(train) [10][10/125] lr: 9.9460e-04 eta: 1 day, 9:37:01 time: 0.6593 data_time: 0.0640 memory: 9483 loss_text: 1.2947 loss_center: 2.9271 loss_reg_x: 3.1693 loss_reg_y: 2.9264 loss: 10.3175 2022/08/25 22:28:55 - mmengine - INFO - Epoch(train) [10][15/125] lr: 9.9460e-04 eta: 1 day, 9:37:01 time: 0.5404 data_time: 0.0130 memory: 9483 loss_text: 1.3305 loss_center: 2.9111 loss_reg_x: 3.0392 loss_reg_y: 2.9672 loss: 10.2481 2022/08/25 22:28:57 - mmengine - INFO - Epoch(train) [10][20/125] lr: 9.9460e-04 eta: 1 day, 9:34:21 time: 0.5550 data_time: 0.0127 memory: 9483 loss_text: 1.3844 loss_center: 2.9266 loss_reg_x: 2.8634 loss_reg_y: 2.7071 loss: 9.8814 2022/08/25 22:29:00 - mmengine - INFO - Epoch(train) [10][25/125] lr: 9.9460e-04 eta: 1 day, 9:34:21 time: 0.5856 data_time: 0.0154 memory: 9483 loss_text: 1.4044 loss_center: 2.9301 loss_reg_x: 3.0836 loss_reg_y: 2.5529 loss: 9.9709 2022/08/25 22:29:03 - mmengine - INFO - Epoch(train) [10][30/125] lr: 9.9460e-04 eta: 1 day, 9:31:40 time: 0.5523 data_time: 0.0147 memory: 9483 loss_text: 1.4149 loss_center: 2.9308 loss_reg_x: 3.3060 loss_reg_y: 2.8884 loss: 10.5401 2022/08/25 22:29:05 - mmengine - INFO - Epoch(train) [10][35/125] lr: 9.9460e-04 eta: 1 day, 9:31:40 time: 0.4972 data_time: 0.0153 memory: 9483 loss_text: 1.4774 loss_center: 2.9374 loss_reg_x: 3.1999 loss_reg_y: 2.6753 loss: 10.2900 2022/08/25 22:29:10 - mmengine - INFO - Epoch(train) [10][40/125] lr: 9.9460e-04 eta: 1 day, 9:33:46 time: 0.7310 data_time: 0.0147 memory: 9483 loss_text: 1.4377 loss_center: 2.9232 loss_reg_x: 3.3236 loss_reg_y: 2.5852 loss: 10.2696 2022/08/25 22:29:13 - mmengine - INFO - Epoch(train) [10][45/125] lr: 9.9460e-04 eta: 1 day, 9:33:46 time: 0.7452 data_time: 0.0195 memory: 9483 loss_text: 1.3637 loss_center: 2.9237 loss_reg_x: 3.3069 loss_reg_y: 2.7436 loss: 10.3379 2022/08/25 22:29:16 - mmengine - INFO - Epoch(train) [10][50/125] lr: 9.9460e-04 eta: 1 day, 9:30:22 time: 0.5236 data_time: 0.0210 memory: 9483 loss_text: 1.3311 loss_center: 2.9245 loss_reg_x: 2.9703 loss_reg_y: 2.5736 loss: 9.7995 2022/08/25 22:29:18 - mmengine - INFO - Epoch(train) [10][55/125] lr: 9.9460e-04 eta: 1 day, 9:30:22 time: 0.5187 data_time: 0.0130 memory: 9483 loss_text: 1.2698 loss_center: 2.9196 loss_reg_x: 2.8925 loss_reg_y: 2.9187 loss: 10.0005 2022/08/25 22:29:21 - mmengine - INFO - Epoch(train) [10][60/125] lr: 9.9460e-04 eta: 1 day, 9:26:55 time: 0.5200 data_time: 0.0115 memory: 9483 loss_text: 1.2951 loss_center: 2.9203 loss_reg_x: 2.9609 loss_reg_y: 2.7268 loss: 9.9032 2022/08/25 22:29:23 - mmengine - INFO - Epoch(train) [10][65/125] lr: 9.9460e-04 eta: 1 day, 9:26:55 time: 0.5161 data_time: 0.0148 memory: 9483 loss_text: 1.2846 loss_center: 2.9216 loss_reg_x: 3.0377 loss_reg_y: 2.2353 loss: 9.4793 2022/08/25 22:29:26 - mmengine - INFO - Epoch(train) [10][70/125] lr: 9.9460e-04 eta: 1 day, 9:23:13 time: 0.5083 data_time: 0.0167 memory: 9483 loss_text: 1.2417 loss_center: 2.9053 loss_reg_x: 2.7331 loss_reg_y: 2.2217 loss: 9.1019 2022/08/25 22:29:30 - mmengine - INFO - Epoch(train) [10][75/125] lr: 9.9460e-04 eta: 1 day, 9:23:13 time: 0.6674 data_time: 0.0135 memory: 9483 loss_text: 1.2015 loss_center: 2.8856 loss_reg_x: 2.5800 loss_reg_y: 2.0754 loss: 8.7424 2022/08/25 22:29:32 - mmengine - INFO - Epoch(train) [10][80/125] lr: 9.9460e-04 eta: 1 day, 9:23:25 time: 0.6568 data_time: 0.0117 memory: 9483 loss_text: 1.1560 loss_center: 2.8877 loss_reg_x: 2.4427 loss_reg_y: 1.9607 loss: 8.4471 2022/08/25 22:29:35 - mmengine - INFO - Epoch(train) [10][85/125] lr: 9.9460e-04 eta: 1 day, 9:23:25 time: 0.5148 data_time: 0.0136 memory: 9483 loss_text: 1.1004 loss_center: 2.8257 loss_reg_x: 2.3073 loss_reg_y: 1.7964 loss: 8.0298 2022/08/25 22:29:38 - mmengine - INFO - Epoch(train) [10][90/125] lr: 9.9460e-04 eta: 1 day, 9:20:09 time: 0.5213 data_time: 0.0181 memory: 9483 loss_text: 1.1458 loss_center: 2.8261 loss_reg_x: 2.7959 loss_reg_y: 2.1094 loss: 8.8772 2022/08/25 22:29:40 - mmengine - INFO - Epoch(train) [10][95/125] lr: 9.9460e-04 eta: 1 day, 9:20:09 time: 0.5212 data_time: 0.0159 memory: 9483 loss_text: 1.2444 loss_center: 2.8943 loss_reg_x: 3.0147 loss_reg_y: 2.4065 loss: 9.5599 2022/08/25 22:29:43 - mmengine - INFO - Epoch(train) [10][100/125] lr: 9.9460e-04 eta: 1 day, 9:17:50 time: 0.5576 data_time: 0.0114 memory: 9483 loss_text: 1.3382 loss_center: 2.9064 loss_reg_x: 2.7802 loss_reg_y: 2.3842 loss: 9.4090 2022/08/25 22:29:46 - mmengine - INFO - Epoch(train) [10][105/125] lr: 9.9460e-04 eta: 1 day, 9:17:50 time: 0.5590 data_time: 0.0305 memory: 9483 loss_text: 1.3413 loss_center: 2.9205 loss_reg_x: 2.8602 loss_reg_y: 2.6250 loss: 9.7471 2022/08/25 22:29:48 - mmengine - INFO - Epoch(train) [10][110/125] lr: 9.9460e-04 eta: 1 day, 9:14:20 time: 0.5083 data_time: 0.0311 memory: 9483 loss_text: 1.2117 loss_center: 2.9134 loss_reg_x: 2.9549 loss_reg_y: 2.6239 loss: 9.7039 2022/08/25 22:29:51 - mmengine - INFO - Epoch(train) [10][115/125] lr: 9.9460e-04 eta: 1 day, 9:14:20 time: 0.4988 data_time: 0.0125 memory: 9483 loss_text: 1.1606 loss_center: 2.8884 loss_reg_x: 2.7283 loss_reg_y: 2.2021 loss: 8.9793 2022/08/25 22:29:53 - mmengine - INFO - Epoch(train) [10][120/125] lr: 9.9460e-04 eta: 1 day, 9:10:54 time: 0.5093 data_time: 0.0120 memory: 9483 loss_text: 1.4052 loss_center: 2.8963 loss_reg_x: 2.7944 loss_reg_y: 2.1555 loss: 9.2514 2022/08/25 22:29:56 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:29:56 - mmengine - INFO - Epoch(train) [10][125/125] lr: 9.9460e-04 eta: 1 day, 9:10:54 time: 0.4992 data_time: 0.0138 memory: 9483 loss_text: 1.5099 loss_center: 2.9188 loss_reg_x: 3.0525 loss_reg_y: 2.3030 loss: 9.7842 2022/08/25 22:30:00 - mmengine - INFO - Epoch(train) [11][5/125] lr: 9.9399e-04 eta: 1 day, 9:10:54 time: 0.6884 data_time: 0.0647 memory: 9483 loss_text: 1.3206 loss_center: 2.9048 loss_reg_x: 2.9453 loss_reg_y: 2.3084 loss: 9.4792 2022/08/25 22:30:03 - mmengine - INFO - Epoch(train) [11][10/125] lr: 9.9399e-04 eta: 1 day, 9:04:42 time: 0.7166 data_time: 0.0672 memory: 9483 loss_text: 1.2298 loss_center: 2.8852 loss_reg_x: 2.6291 loss_reg_y: 2.2362 loss: 8.9804 2022/08/25 22:30:06 - mmengine - INFO - Epoch(train) [11][15/125] lr: 9.9399e-04 eta: 1 day, 9:04:42 time: 0.5293 data_time: 0.0175 memory: 9483 loss_text: 1.2184 loss_center: 2.8930 loss_reg_x: 2.6028 loss_reg_y: 2.2358 loss: 8.9500 2022/08/25 22:30:08 - mmengine - INFO - Epoch(train) [11][20/125] lr: 9.9399e-04 eta: 1 day, 9:01:50 time: 0.5262 data_time: 0.0193 memory: 9483 loss_text: 1.2317 loss_center: 2.8923 loss_reg_x: 2.6129 loss_reg_y: 2.2918 loss: 9.0287 2022/08/25 22:30:11 - mmengine - INFO - Epoch(train) [11][25/125] lr: 9.9399e-04 eta: 1 day, 9:01:50 time: 0.5506 data_time: 0.0246 memory: 9483 loss_text: 1.1924 loss_center: 2.8826 loss_reg_x: 2.5452 loss_reg_y: 2.1977 loss: 8.8179 2022/08/25 22:30:14 - mmengine - INFO - Epoch(train) [11][30/125] lr: 9.9399e-04 eta: 1 day, 8:59:30 time: 0.5471 data_time: 0.0237 memory: 9483 loss_text: 1.1954 loss_center: 2.9039 loss_reg_x: 2.6476 loss_reg_y: 2.4662 loss: 9.2130 2022/08/25 22:30:17 - mmengine - INFO - Epoch(train) [11][35/125] lr: 9.9399e-04 eta: 1 day, 8:59:30 time: 0.5973 data_time: 0.0217 memory: 9483 loss_text: 1.2302 loss_center: 2.9238 loss_reg_x: 2.6066 loss_reg_y: 2.4364 loss: 9.1971 2022/08/25 22:30:24 - mmengine - INFO - Epoch(train) [11][40/125] lr: 9.9399e-04 eta: 1 day, 9:08:08 time: 1.0012 data_time: 0.0278 memory: 9483 loss_text: 1.1934 loss_center: 2.8674 loss_reg_x: 2.5419 loss_reg_y: 2.1891 loss: 8.7919 2022/08/25 22:30:26 - mmengine - INFO - Epoch(train) [11][45/125] lr: 9.9399e-04 eta: 1 day, 9:08:08 time: 0.9367 data_time: 0.0335 memory: 9483 loss_text: 1.2098 loss_center: 2.8594 loss_reg_x: 2.6071 loss_reg_y: 2.4186 loss: 9.0950 2022/08/25 22:30:30 - mmengine - INFO - Epoch(train) [11][50/125] lr: 9.9399e-04 eta: 1 day, 9:06:43 time: 0.5853 data_time: 0.0256 memory: 9483 loss_text: 1.2371 loss_center: 2.9035 loss_reg_x: 2.6314 loss_reg_y: 2.2865 loss: 9.0585 2022/08/25 22:30:32 - mmengine - INFO - Epoch(train) [11][55/125] lr: 9.9399e-04 eta: 1 day, 9:06:43 time: 0.5752 data_time: 0.0226 memory: 9483 loss_text: 1.2596 loss_center: 2.8969 loss_reg_x: 2.6794 loss_reg_y: 2.1392 loss: 8.9751 2022/08/25 22:30:35 - mmengine - INFO - Epoch(train) [11][60/125] lr: 9.9399e-04 eta: 1 day, 9:03:18 time: 0.5003 data_time: 0.0188 memory: 9483 loss_text: 1.2242 loss_center: 2.8900 loss_reg_x: 2.5220 loss_reg_y: 2.0726 loss: 8.7087 2022/08/25 22:30:37 - mmengine - INFO - Epoch(train) [11][65/125] lr: 9.9399e-04 eta: 1 day, 9:03:18 time: 0.4991 data_time: 0.0150 memory: 9483 loss_text: 1.1281 loss_center: 2.8323 loss_reg_x: 2.3147 loss_reg_y: 1.9296 loss: 8.2047 2022/08/25 22:30:40 - mmengine - INFO - Epoch(train) [11][70/125] lr: 9.9399e-04 eta: 1 day, 9:00:08 time: 0.5095 data_time: 0.0169 memory: 9483 loss_text: 1.2181 loss_center: 2.8637 loss_reg_x: 2.3037 loss_reg_y: 1.9320 loss: 8.3174 2022/08/25 22:30:42 - mmengine - INFO - Epoch(train) [11][75/125] lr: 9.9399e-04 eta: 1 day, 9:00:08 time: 0.4849 data_time: 0.0156 memory: 9483 loss_text: 1.2933 loss_center: 2.9356 loss_reg_x: 2.5933 loss_reg_y: 2.2241 loss: 9.0463 2022/08/25 22:30:45 - mmengine - INFO - Epoch(train) [11][80/125] lr: 9.9399e-04 eta: 1 day, 8:57:16 time: 0.5197 data_time: 0.0136 memory: 9483 loss_text: 1.2163 loss_center: 2.9136 loss_reg_x: 2.6129 loss_reg_y: 2.2612 loss: 9.0040 2022/08/25 22:30:48 - mmengine - INFO - Epoch(train) [11][85/125] lr: 9.9399e-04 eta: 1 day, 8:57:16 time: 0.5513 data_time: 0.0151 memory: 9483 loss_text: 1.1549 loss_center: 2.9026 loss_reg_x: 2.5101 loss_reg_y: 2.2373 loss: 8.8049 2022/08/25 22:30:51 - mmengine - INFO - Epoch(train) [11][90/125] lr: 9.9399e-04 eta: 1 day, 8:55:38 time: 0.5715 data_time: 0.0172 memory: 9483 loss_text: 1.1273 loss_center: 2.8894 loss_reg_x: 2.5943 loss_reg_y: 2.3490 loss: 8.9601 2022/08/25 22:30:53 - mmengine - INFO - Epoch(train) [11][95/125] lr: 9.9399e-04 eta: 1 day, 8:55:38 time: 0.5542 data_time: 0.0176 memory: 9483 loss_text: 1.2536 loss_center: 2.8990 loss_reg_x: 2.5924 loss_reg_y: 2.3521 loss: 9.0970 2022/08/25 22:30:55 - mmengine - INFO - Epoch(train) [11][100/125] lr: 9.9399e-04 eta: 1 day, 8:51:54 time: 0.4784 data_time: 0.0156 memory: 9483 loss_text: 1.3009 loss_center: 2.9028 loss_reg_x: 2.6943 loss_reg_y: 2.4824 loss: 9.3804 2022/08/25 22:31:01 - mmengine - INFO - Epoch(train) [11][105/125] lr: 9.9399e-04 eta: 1 day, 8:51:54 time: 0.7865 data_time: 0.0150 memory: 9483 loss_text: 1.2012 loss_center: 2.9028 loss_reg_x: 2.7489 loss_reg_y: 2.4589 loss: 9.3118 2022/08/25 22:31:03 - mmengine - INFO - Epoch(train) [11][110/125] lr: 9.9399e-04 eta: 1 day, 8:55:34 time: 0.8010 data_time: 0.0197 memory: 9483 loss_text: 1.1942 loss_center: 2.9119 loss_reg_x: 2.5620 loss_reg_y: 2.3944 loss: 9.0624 2022/08/25 22:31:06 - mmengine - INFO - Epoch(train) [11][115/125] lr: 9.9399e-04 eta: 1 day, 8:55:34 time: 0.5140 data_time: 0.0169 memory: 9483 loss_text: 1.1979 loss_center: 2.8936 loss_reg_x: 2.3828 loss_reg_y: 2.2986 loss: 8.7729 2022/08/25 22:31:09 - mmengine - INFO - Epoch(train) [11][120/125] lr: 9.9399e-04 eta: 1 day, 8:52:46 time: 0.5183 data_time: 0.0147 memory: 9483 loss_text: 1.2303 loss_center: 2.9085 loss_reg_x: 2.5826 loss_reg_y: 2.4691 loss: 9.1905 2022/08/25 22:31:11 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:31:11 - mmengine - INFO - Epoch(train) [11][125/125] lr: 9.9399e-04 eta: 1 day, 8:52:46 time: 0.5074 data_time: 0.0144 memory: 9483 loss_text: 1.2669 loss_center: 2.9309 loss_reg_x: 3.0646 loss_reg_y: 2.8617 loss: 10.1241 2022/08/25 22:31:14 - mmengine - INFO - Epoch(train) [12][5/125] lr: 9.9339e-04 eta: 1 day, 8:52:46 time: 0.5750 data_time: 0.0670 memory: 9483 loss_text: 1.2130 loss_center: 2.9121 loss_reg_x: 2.9395 loss_reg_y: 2.6347 loss: 9.6992 2022/08/25 22:31:17 - mmengine - INFO - Epoch(train) [12][10/125] lr: 9.9339e-04 eta: 1 day, 8:44:14 time: 0.5793 data_time: 0.0662 memory: 9483 loss_text: 1.1020 loss_center: 2.8854 loss_reg_x: 2.4611 loss_reg_y: 2.0930 loss: 8.5414 2022/08/25 22:31:23 - mmengine - INFO - Epoch(train) [12][15/125] lr: 9.9339e-04 eta: 1 day, 8:44:14 time: 0.8337 data_time: 0.0180 memory: 9483 loss_text: 1.1437 loss_center: 2.8866 loss_reg_x: 2.8308 loss_reg_y: 2.3676 loss: 9.2288 2022/08/25 22:31:25 - mmengine - INFO - Epoch(train) [12][20/125] lr: 9.9339e-04 eta: 1 day, 8:48:10 time: 0.8156 data_time: 0.0210 memory: 9483 loss_text: 1.2351 loss_center: 2.9043 loss_reg_x: 2.7450 loss_reg_y: 2.4153 loss: 9.2996 2022/08/25 22:31:28 - mmengine - INFO - Epoch(train) [12][25/125] lr: 9.9339e-04 eta: 1 day, 8:48:10 time: 0.4935 data_time: 0.0141 memory: 9483 loss_text: 1.2733 loss_center: 2.9121 loss_reg_x: 2.3153 loss_reg_y: 1.9166 loss: 8.4173 2022/08/25 22:31:30 - mmengine - INFO - Epoch(train) [12][30/125] lr: 9.9339e-04 eta: 1 day, 8:45:18 time: 0.5087 data_time: 0.0139 memory: 9483 loss_text: 1.2846 loss_center: 2.9062 loss_reg_x: 2.3320 loss_reg_y: 2.0676 loss: 8.5905 2022/08/25 22:31:33 - mmengine - INFO - Epoch(train) [12][35/125] lr: 9.9339e-04 eta: 1 day, 8:45:18 time: 0.5035 data_time: 0.0149 memory: 9483 loss_text: 1.2517 loss_center: 2.8973 loss_reg_x: 2.2504 loss_reg_y: 2.1651 loss: 8.5646 2022/08/25 22:31:36 - mmengine - INFO - Epoch(train) [12][40/125] lr: 9.9339e-04 eta: 1 day, 8:43:05 time: 0.5375 data_time: 0.0124 memory: 9483 loss_text: 1.2439 loss_center: 2.9036 loss_reg_x: 2.2176 loss_reg_y: 2.0939 loss: 8.4589 2022/08/25 22:31:40 - mmengine - INFO - Epoch(train) [12][45/125] lr: 9.9339e-04 eta: 1 day, 8:43:05 time: 0.7684 data_time: 0.0202 memory: 9483 loss_text: 1.2331 loss_center: 2.9090 loss_reg_x: 2.5167 loss_reg_y: 2.3369 loss: 8.9958 2022/08/25 22:31:43 - mmengine - INFO - Epoch(train) [12][50/125] lr: 9.9339e-04 eta: 1 day, 8:45:11 time: 0.7343 data_time: 0.0229 memory: 9483 loss_text: 1.2444 loss_center: 2.9061 loss_reg_x: 2.7226 loss_reg_y: 2.4677 loss: 9.3408 2022/08/25 22:31:46 - mmengine - INFO - Epoch(train) [12][55/125] lr: 9.9339e-04 eta: 1 day, 8:45:11 time: 0.5105 data_time: 0.0152 memory: 9483 loss_text: 1.2574 loss_center: 2.9058 loss_reg_x: 2.4765 loss_reg_y: 2.2153 loss: 8.8549 2022/08/25 22:31:49 - mmengine - INFO - Epoch(train) [12][60/125] lr: 9.9339e-04 eta: 1 day, 8:43:09 time: 0.5448 data_time: 0.0125 memory: 9483 loss_text: 1.1942 loss_center: 2.9108 loss_reg_x: 2.6223 loss_reg_y: 2.3639 loss: 9.0912 2022/08/25 22:31:51 - mmengine - INFO - Epoch(train) [12][65/125] lr: 9.9339e-04 eta: 1 day, 8:43:09 time: 0.5698 data_time: 0.0274 memory: 9483 loss_text: 1.2483 loss_center: 2.9155 loss_reg_x: 2.8835 loss_reg_y: 2.7048 loss: 9.7520 2022/08/25 22:31:54 - mmengine - INFO - Epoch(train) [12][70/125] lr: 9.9339e-04 eta: 1 day, 8:40:55 time: 0.5336 data_time: 0.0301 memory: 9483 loss_text: 1.2067 loss_center: 2.9048 loss_reg_x: 2.5128 loss_reg_y: 2.3282 loss: 8.9524 2022/08/25 22:31:57 - mmengine - INFO - Epoch(train) [12][75/125] lr: 9.9339e-04 eta: 1 day, 8:40:55 time: 0.5310 data_time: 0.0145 memory: 9483 loss_text: 1.1294 loss_center: 2.9024 loss_reg_x: 2.3375 loss_reg_y: 2.1108 loss: 8.4802 2022/08/25 22:32:00 - mmengine - INFO - Epoch(train) [12][80/125] lr: 9.9339e-04 eta: 1 day, 8:41:08 time: 0.6478 data_time: 0.0374 memory: 9483 loss_text: 1.2427 loss_center: 2.9069 loss_reg_x: 2.5128 loss_reg_y: 2.2749 loss: 8.9373 2022/08/25 22:32:03 - mmengine - INFO - Epoch(train) [12][85/125] lr: 9.9339e-04 eta: 1 day, 8:41:08 time: 0.6600 data_time: 0.0408 memory: 9483 loss_text: 1.1851 loss_center: 2.8898 loss_reg_x: 2.3218 loss_reg_y: 1.9421 loss: 8.3389 2022/08/25 22:32:06 - mmengine - INFO - Epoch(train) [12][90/125] lr: 9.9339e-04 eta: 1 day, 8:39:18 time: 0.5504 data_time: 0.0188 memory: 9483 loss_text: 1.1348 loss_center: 2.8883 loss_reg_x: 2.3699 loss_reg_y: 1.7203 loss: 8.1132 2022/08/25 22:32:08 - mmengine - INFO - Epoch(train) [12][95/125] lr: 9.9339e-04 eta: 1 day, 8:39:18 time: 0.5110 data_time: 0.0154 memory: 9483 loss_text: 1.1441 loss_center: 2.8995 loss_reg_x: 2.3546 loss_reg_y: 2.1657 loss: 8.5640 2022/08/25 22:32:11 - mmengine - INFO - Epoch(train) [12][100/125] lr: 9.9339e-04 eta: 1 day, 8:36:34 time: 0.5072 data_time: 0.0160 memory: 9483 loss_text: 1.1676 loss_center: 2.9040 loss_reg_x: 2.2461 loss_reg_y: 2.4507 loss: 8.7684 2022/08/25 22:32:13 - mmengine - INFO - Epoch(train) [12][105/125] lr: 9.9339e-04 eta: 1 day, 8:36:34 time: 0.5181 data_time: 0.0191 memory: 9483 loss_text: 1.2620 loss_center: 2.8933 loss_reg_x: 2.4586 loss_reg_y: 2.2688 loss: 8.8827 2022/08/25 22:32:16 - mmengine - INFO - Epoch(train) [12][110/125] lr: 9.9339e-04 eta: 1 day, 8:34:33 time: 0.5394 data_time: 0.0189 memory: 9483 loss_text: 1.3249 loss_center: 2.8860 loss_reg_x: 2.7998 loss_reg_y: 1.9917 loss: 9.0024 2022/08/25 22:32:19 - mmengine - INFO - Epoch(train) [12][115/125] lr: 9.9339e-04 eta: 1 day, 8:34:33 time: 0.5440 data_time: 0.0156 memory: 9483 loss_text: 1.2987 loss_center: 2.8926 loss_reg_x: 2.9583 loss_reg_y: 1.9162 loss: 9.0658 2022/08/25 22:32:21 - mmengine - INFO - Epoch(train) [12][120/125] lr: 9.9339e-04 eta: 1 day, 8:31:55 time: 0.5088 data_time: 0.0136 memory: 9483 loss_text: 1.2376 loss_center: 2.8979 loss_reg_x: 2.7315 loss_reg_y: 2.2213 loss: 9.0882 2022/08/25 22:32:24 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:32:24 - mmengine - INFO - Epoch(train) [12][125/125] lr: 9.9339e-04 eta: 1 day, 8:31:55 time: 0.4921 data_time: 0.0156 memory: 9483 loss_text: 1.2268 loss_center: 2.8940 loss_reg_x: 2.7644 loss_reg_y: 2.5669 loss: 9.4522 2022/08/25 22:32:27 - mmengine - INFO - Epoch(train) [13][5/125] lr: 9.9279e-04 eta: 1 day, 8:31:55 time: 0.5680 data_time: 0.0898 memory: 9483 loss_text: 1.1897 loss_center: 2.8726 loss_reg_x: 2.7532 loss_reg_y: 2.5171 loss: 9.3326 2022/08/25 22:32:30 - mmengine - INFO - Epoch(train) [13][10/125] lr: 9.9279e-04 eta: 1 day, 8:24:25 time: 0.5868 data_time: 0.0867 memory: 9483 loss_text: 1.2435 loss_center: 2.8894 loss_reg_x: 2.6593 loss_reg_y: 2.3908 loss: 9.1831 2022/08/25 22:32:32 - mmengine - INFO - Epoch(train) [13][15/125] lr: 9.9279e-04 eta: 1 day, 8:24:25 time: 0.5133 data_time: 0.0111 memory: 9483 loss_text: 1.3590 loss_center: 2.9198 loss_reg_x: 3.2300 loss_reg_y: 2.5416 loss: 10.0504 2022/08/25 22:32:35 - mmengine - INFO - Epoch(train) [13][20/125] lr: 9.9279e-04 eta: 1 day, 8:21:56 time: 0.5108 data_time: 0.0167 memory: 9483 loss_text: 1.4539 loss_center: 2.9273 loss_reg_x: 3.2372 loss_reg_y: 2.3673 loss: 9.9858 2022/08/25 22:32:37 - mmengine - INFO - Epoch(train) [13][25/125] lr: 9.9279e-04 eta: 1 day, 8:21:56 time: 0.5080 data_time: 0.0161 memory: 9483 loss_text: 1.4599 loss_center: 2.9266 loss_reg_x: 2.5518 loss_reg_y: 1.8606 loss: 8.7991 2022/08/25 22:32:43 - mmengine - INFO - Epoch(train) [13][30/125] lr: 9.9279e-04 eta: 1 day, 8:25:20 time: 0.7990 data_time: 0.0123 memory: 9483 loss_text: 1.3253 loss_center: 2.9042 loss_reg_x: 2.4174 loss_reg_y: 1.7578 loss: 8.4047 2022/08/25 22:32:45 - mmengine - INFO - Epoch(train) [13][35/125] lr: 9.9279e-04 eta: 1 day, 8:25:20 time: 0.8106 data_time: 0.0153 memory: 9483 loss_text: 1.2072 loss_center: 2.9064 loss_reg_x: 2.5898 loss_reg_y: 2.0637 loss: 8.7671 2022/08/25 22:32:48 - mmengine - INFO - Epoch(train) [13][40/125] lr: 9.9279e-04 eta: 1 day, 8:23:17 time: 0.5308 data_time: 0.0145 memory: 9483 loss_text: 1.1126 loss_center: 2.8944 loss_reg_x: 2.4907 loss_reg_y: 1.9240 loss: 8.4217 2022/08/25 22:32:51 - mmengine - INFO - Epoch(train) [13][45/125] lr: 9.9279e-04 eta: 1 day, 8:23:17 time: 0.5410 data_time: 0.0199 memory: 9483 loss_text: 1.0853 loss_center: 2.8663 loss_reg_x: 2.1075 loss_reg_y: 1.5413 loss: 7.6003 2022/08/25 22:32:53 - mmengine - INFO - Epoch(train) [13][50/125] lr: 9.9279e-04 eta: 1 day, 8:20:53 time: 0.5126 data_time: 0.0216 memory: 9483 loss_text: 1.1907 loss_center: 2.9032 loss_reg_x: 2.2300 loss_reg_y: 1.9523 loss: 8.2761 2022/08/25 22:32:57 - mmengine - INFO - Epoch(train) [13][55/125] lr: 9.9279e-04 eta: 1 day, 8:20:53 time: 0.5800 data_time: 0.0161 memory: 9483 loss_text: 1.2817 loss_center: 2.9164 loss_reg_x: 2.3923 loss_reg_y: 2.4770 loss: 9.0674 2022/08/25 22:32:59 - mmengine - INFO - Epoch(train) [13][60/125] lr: 9.9279e-04 eta: 1 day, 8:19:56 time: 0.5833 data_time: 0.0158 memory: 9483 loss_text: 1.2630 loss_center: 2.9039 loss_reg_x: 2.4790 loss_reg_y: 2.4441 loss: 9.0900 2022/08/25 22:33:01 - mmengine - INFO - Epoch(train) [13][65/125] lr: 9.9279e-04 eta: 1 day, 8:19:56 time: 0.4880 data_time: 0.0131 memory: 9483 loss_text: 1.2030 loss_center: 2.8921 loss_reg_x: 2.4289 loss_reg_y: 2.0029 loss: 8.5269 2022/08/25 22:33:04 - mmengine - INFO - Epoch(train) [13][70/125] lr: 9.9279e-04 eta: 1 day, 8:17:09 time: 0.4906 data_time: 0.0128 memory: 9483 loss_text: 1.1856 loss_center: 2.8933 loss_reg_x: 2.3990 loss_reg_y: 2.0409 loss: 8.5188 2022/08/25 22:33:07 - mmengine - INFO - Epoch(train) [13][75/125] lr: 9.9279e-04 eta: 1 day, 8:17:09 time: 0.5153 data_time: 0.0157 memory: 9483 loss_text: 1.1363 loss_center: 2.8798 loss_reg_x: 2.2161 loss_reg_y: 2.0162 loss: 8.2483 2022/08/25 22:33:11 - mmengine - INFO - Epoch(train) [13][80/125] lr: 9.9279e-04 eta: 1 day, 8:19:28 time: 0.7485 data_time: 0.0366 memory: 9483 loss_text: 1.1260 loss_center: 2.8709 loss_reg_x: 2.1243 loss_reg_y: 2.0525 loss: 8.1736 2022/08/25 22:33:14 - mmengine - INFO - Epoch(train) [13][85/125] lr: 9.9279e-04 eta: 1 day, 8:19:28 time: 0.7406 data_time: 0.0345 memory: 9483 loss_text: 1.1324 loss_center: 2.8927 loss_reg_x: 2.4482 loss_reg_y: 2.4329 loss: 8.9063 2022/08/25 22:33:17 - mmengine - INFO - Epoch(train) [13][90/125] lr: 9.9279e-04 eta: 1 day, 8:17:06 time: 0.5103 data_time: 0.0130 memory: 9483 loss_text: 1.1122 loss_center: 2.8947 loss_reg_x: 2.4829 loss_reg_y: 2.3610 loss: 8.8508 2022/08/25 22:33:19 - mmengine - INFO - Epoch(train) [13][95/125] lr: 9.9279e-04 eta: 1 day, 8:17:06 time: 0.4999 data_time: 0.0187 memory: 9483 loss_text: 1.2476 loss_center: 2.8945 loss_reg_x: 2.2473 loss_reg_y: 2.1459 loss: 8.5352 2022/08/25 22:33:21 - mmengine - INFO - Epoch(train) [13][100/125] lr: 9.9279e-04 eta: 1 day, 8:14:13 time: 0.4817 data_time: 0.0189 memory: 9483 loss_text: 1.2854 loss_center: 2.8906 loss_reg_x: 2.3423 loss_reg_y: 2.0385 loss: 8.5568 2022/08/25 22:33:24 - mmengine - INFO - Epoch(train) [13][105/125] lr: 9.9279e-04 eta: 1 day, 8:14:13 time: 0.4972 data_time: 0.0128 memory: 9483 loss_text: 1.2002 loss_center: 2.8864 loss_reg_x: 2.3666 loss_reg_y: 1.9810 loss: 8.4342 2022/08/25 22:33:27 - mmengine - INFO - Epoch(train) [13][110/125] lr: 9.9279e-04 eta: 1 day, 8:12:01 time: 0.5149 data_time: 0.0141 memory: 9483 loss_text: 1.1946 loss_center: 2.8843 loss_reg_x: 2.2957 loss_reg_y: 1.8767 loss: 8.2512 2022/08/25 22:33:30 - mmengine - INFO - Epoch(train) [13][115/125] lr: 9.9279e-04 eta: 1 day, 8:12:01 time: 0.6404 data_time: 0.0297 memory: 9483 loss_text: 1.0974 loss_center: 2.8446 loss_reg_x: 2.4685 loss_reg_y: 1.9762 loss: 8.3867 2022/08/25 22:33:33 - mmengine - INFO - Epoch(train) [13][120/125] lr: 9.9279e-04 eta: 1 day, 8:12:28 time: 0.6528 data_time: 0.0298 memory: 9483 loss_text: 1.0856 loss_center: 2.8560 loss_reg_x: 2.4815 loss_reg_y: 2.1540 loss: 8.5771 2022/08/25 22:33:35 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:33:35 - mmengine - INFO - Epoch(train) [13][125/125] lr: 9.9279e-04 eta: 1 day, 8:12:28 time: 0.5072 data_time: 0.0141 memory: 9483 loss_text: 1.2084 loss_center: 2.8878 loss_reg_x: 2.4712 loss_reg_y: 2.2138 loss: 8.7812 2022/08/25 22:33:41 - mmengine - INFO - Epoch(train) [14][5/125] lr: 9.9219e-04 eta: 1 day, 8:12:28 time: 0.7427 data_time: 0.0936 memory: 9483 loss_text: 1.1760 loss_center: 2.8592 loss_reg_x: 2.3138 loss_reg_y: 1.9570 loss: 8.3059 2022/08/25 22:33:43 - mmengine - INFO - Epoch(train) [14][10/125] lr: 9.9219e-04 eta: 1 day, 8:08:59 time: 0.7602 data_time: 0.0996 memory: 9483 loss_text: 1.2013 loss_center: 2.8553 loss_reg_x: 2.3864 loss_reg_y: 1.9413 loss: 8.3843 2022/08/25 22:33:46 - mmengine - INFO - Epoch(train) [14][15/125] lr: 9.9219e-04 eta: 1 day, 8:08:59 time: 0.5264 data_time: 0.0183 memory: 9483 loss_text: 1.1690 loss_center: 2.8606 loss_reg_x: 2.3442 loss_reg_y: 1.9812 loss: 8.3551 2022/08/25 22:33:49 - mmengine - INFO - Epoch(train) [14][20/125] lr: 9.9219e-04 eta: 1 day, 8:08:41 time: 0.6123 data_time: 0.0160 memory: 9483 loss_text: 1.0559 loss_center: 2.8524 loss_reg_x: 2.0565 loss_reg_y: 1.7680 loss: 7.7328 2022/08/25 22:33:52 - mmengine - INFO - Epoch(train) [14][25/125] lr: 9.9219e-04 eta: 1 day, 8:08:41 time: 0.6019 data_time: 0.0173 memory: 9483 loss_text: 1.1272 loss_center: 2.8710 loss_reg_x: 2.4668 loss_reg_y: 2.0094 loss: 8.4744 2022/08/25 22:33:54 - mmengine - INFO - Epoch(train) [14][30/125] lr: 9.9219e-04 eta: 1 day, 8:06:14 time: 0.4967 data_time: 0.0164 memory: 9483 loss_text: 1.1793 loss_center: 2.8894 loss_reg_x: 2.9073 loss_reg_y: 2.1781 loss: 9.1542 2022/08/25 22:33:57 - mmengine - INFO - Epoch(train) [14][35/125] lr: 9.9219e-04 eta: 1 day, 8:06:14 time: 0.5025 data_time: 0.0155 memory: 9483 loss_text: 1.1746 loss_center: 2.8889 loss_reg_x: 2.5995 loss_reg_y: 2.0347 loss: 8.6977 2022/08/25 22:34:03 - mmengine - INFO - Epoch(train) [14][40/125] lr: 9.9219e-04 eta: 1 day, 8:10:06 time: 0.8355 data_time: 0.0130 memory: 9483 loss_text: 1.0583 loss_center: 2.8861 loss_reg_x: 2.1129 loss_reg_y: 1.9003 loss: 7.9576 2022/08/25 22:34:05 - mmengine - INFO - Epoch(train) [14][45/125] lr: 9.9219e-04 eta: 1 day, 8:10:06 time: 0.8389 data_time: 0.0146 memory: 9483 loss_text: 1.0459 loss_center: 2.8950 loss_reg_x: 2.1413 loss_reg_y: 2.0630 loss: 8.1452 2022/08/25 22:34:08 - mmengine - INFO - Epoch(train) [14][50/125] lr: 9.9219e-04 eta: 1 day, 8:07:43 time: 0.4999 data_time: 0.0141 memory: 9483 loss_text: 1.2894 loss_center: 2.9082 loss_reg_x: 2.6700 loss_reg_y: 2.6403 loss: 9.5079 2022/08/25 22:34:10 - mmengine - INFO - Epoch(train) [14][55/125] lr: 9.9219e-04 eta: 1 day, 8:07:43 time: 0.5123 data_time: 0.0132 memory: 9483 loss_text: 1.3041 loss_center: 2.8755 loss_reg_x: 2.7763 loss_reg_y: 2.5006 loss: 9.4564 2022/08/25 22:34:13 - mmengine - INFO - Epoch(train) [14][60/125] lr: 9.9219e-04 eta: 1 day, 8:05:42 time: 0.5184 data_time: 0.0133 memory: 9483 loss_text: 1.2634 loss_center: 2.8793 loss_reg_x: 2.7194 loss_reg_y: 2.2093 loss: 9.0714 2022/08/25 22:34:15 - mmengine - INFO - Epoch(train) [14][65/125] lr: 9.9219e-04 eta: 1 day, 8:05:42 time: 0.4840 data_time: 0.0173 memory: 9483 loss_text: 1.2503 loss_center: 2.8819 loss_reg_x: 2.4164 loss_reg_y: 2.1127 loss: 8.6612 2022/08/25 22:34:18 - mmengine - INFO - Epoch(train) [14][70/125] lr: 9.9219e-04 eta: 1 day, 8:03:20 time: 0.4978 data_time: 0.0167 memory: 9483 loss_text: 1.1337 loss_center: 2.8714 loss_reg_x: 2.2010 loss_reg_y: 1.9587 loss: 8.1649 2022/08/25 22:34:22 - mmengine - INFO - Epoch(train) [14][75/125] lr: 9.9219e-04 eta: 1 day, 8:03:20 time: 0.6691 data_time: 0.0323 memory: 9483 loss_text: 1.0853 loss_center: 2.8869 loss_reg_x: 2.4094 loss_reg_y: 2.0678 loss: 8.4494 2022/08/25 22:34:24 - mmengine - INFO - Epoch(train) [14][80/125] lr: 9.9219e-04 eta: 1 day, 8:03:50 time: 0.6549 data_time: 0.0332 memory: 9483 loss_text: 1.0816 loss_center: 2.8770 loss_reg_x: 2.4400 loss_reg_y: 2.0466 loss: 8.4453 2022/08/25 22:34:27 - mmengine - INFO - Epoch(train) [14][85/125] lr: 9.9219e-04 eta: 1 day, 8:03:50 time: 0.4813 data_time: 0.0161 memory: 9483 loss_text: 1.2468 loss_center: 2.9007 loss_reg_x: 3.1014 loss_reg_y: 2.6676 loss: 9.9166 2022/08/25 22:34:29 - mmengine - INFO - Epoch(train) [14][90/125] lr: 9.9219e-04 eta: 1 day, 8:01:24 time: 0.4917 data_time: 0.0156 memory: 9483 loss_text: 1.2606 loss_center: 2.9238 loss_reg_x: 3.0803 loss_reg_y: 2.8578 loss: 10.1226 2022/08/25 22:34:32 - mmengine - INFO - Epoch(train) [14][95/125] lr: 9.9219e-04 eta: 1 day, 8:01:24 time: 0.4831 data_time: 0.0119 memory: 9483 loss_text: 1.2665 loss_center: 2.8847 loss_reg_x: 2.2692 loss_reg_y: 2.0950 loss: 8.5154 2022/08/25 22:34:34 - mmengine - INFO - Epoch(train) [14][100/125] lr: 9.9219e-04 eta: 1 day, 7:59:01 time: 0.4938 data_time: 0.0121 memory: 9483 loss_text: 1.3098 loss_center: 2.8695 loss_reg_x: 2.1150 loss_reg_y: 1.8879 loss: 8.1822 2022/08/25 22:34:37 - mmengine - INFO - Epoch(train) [14][105/125] lr: 9.9219e-04 eta: 1 day, 7:59:01 time: 0.5053 data_time: 0.0125 memory: 9483 loss_text: 1.2584 loss_center: 2.9049 loss_reg_x: 2.2220 loss_reg_y: 2.0810 loss: 8.4663 2022/08/25 22:34:40 - mmengine - INFO - Epoch(train) [14][110/125] lr: 9.9219e-04 eta: 1 day, 7:58:00 time: 0.5686 data_time: 0.0271 memory: 9483 loss_text: 1.2581 loss_center: 2.9178 loss_reg_x: 2.3743 loss_reg_y: 2.1533 loss: 8.7035 2022/08/25 22:34:42 - mmengine - INFO - Epoch(train) [14][115/125] lr: 9.9219e-04 eta: 1 day, 7:58:00 time: 0.5734 data_time: 0.0280 memory: 9483 loss_text: 1.2240 loss_center: 2.9097 loss_reg_x: 2.3649 loss_reg_y: 2.2936 loss: 8.7922 2022/08/25 22:34:45 - mmengine - INFO - Epoch(train) [14][120/125] lr: 9.9219e-04 eta: 1 day, 7:55:58 time: 0.5104 data_time: 0.0128 memory: 9483 loss_text: 1.1433 loss_center: 2.8963 loss_reg_x: 2.2578 loss_reg_y: 2.0500 loss: 8.3474 2022/08/25 22:34:47 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:34:47 - mmengine - INFO - Epoch(train) [14][125/125] lr: 9.9219e-04 eta: 1 day, 7:55:58 time: 0.4870 data_time: 0.0121 memory: 9483 loss_text: 1.1347 loss_center: 2.8973 loss_reg_x: 2.2334 loss_reg_y: 1.8599 loss: 8.1254 2022/08/25 22:34:51 - mmengine - INFO - Epoch(train) [15][5/125] lr: 9.9159e-04 eta: 1 day, 7:55:58 time: 0.6073 data_time: 0.0794 memory: 9483 loss_text: 1.2176 loss_center: 2.9062 loss_reg_x: 2.3325 loss_reg_y: 2.2712 loss: 8.7275 2022/08/25 22:34:53 - mmengine - INFO - Epoch(train) [15][10/125] lr: 9.9159e-04 eta: 1 day, 7:50:12 time: 0.6099 data_time: 0.0771 memory: 9483 loss_text: 1.2105 loss_center: 2.8866 loss_reg_x: 2.4202 loss_reg_y: 2.4394 loss: 8.9567 2022/08/25 22:34:56 - mmengine - INFO - Epoch(train) [15][15/125] lr: 9.9159e-04 eta: 1 day, 7:50:12 time: 0.4718 data_time: 0.0107 memory: 9483 loss_text: 1.1506 loss_center: 2.8665 loss_reg_x: 2.2034 loss_reg_y: 2.1487 loss: 8.3692 2022/08/25 22:34:59 - mmengine - INFO - Epoch(train) [15][20/125] lr: 9.9159e-04 eta: 1 day, 7:48:31 time: 0.5265 data_time: 0.0150 memory: 9483 loss_text: 1.2643 loss_center: 2.8639 loss_reg_x: 2.4071 loss_reg_y: 1.8797 loss: 8.4149 2022/08/25 22:35:03 - mmengine - INFO - Epoch(train) [15][25/125] lr: 9.9159e-04 eta: 1 day, 7:48:31 time: 0.7076 data_time: 0.0482 memory: 9483 loss_text: 1.3444 loss_center: 2.8579 loss_reg_x: 2.8474 loss_reg_y: 1.9919 loss: 9.0415 2022/08/25 22:35:05 - mmengine - INFO - Epoch(train) [15][30/125] lr: 9.9159e-04 eta: 1 day, 7:49:16 time: 0.6656 data_time: 0.0455 memory: 9483 loss_text: 1.2127 loss_center: 2.8810 loss_reg_x: 2.8155 loss_reg_y: 2.2633 loss: 9.1725 2022/08/25 22:35:08 - mmengine - INFO - Epoch(train) [15][35/125] lr: 9.9159e-04 eta: 1 day, 7:49:16 time: 0.4756 data_time: 0.0146 memory: 9483 loss_text: 1.2852 loss_center: 2.9220 loss_reg_x: 2.9910 loss_reg_y: 2.6423 loss: 9.8405 2022/08/25 22:35:10 - mmengine - INFO - Epoch(train) [15][40/125] lr: 9.9159e-04 eta: 1 day, 7:47:09 time: 0.5002 data_time: 0.0153 memory: 9483 loss_text: 1.3100 loss_center: 2.9075 loss_reg_x: 2.7513 loss_reg_y: 2.3598 loss: 9.3287 2022/08/25 22:35:13 - mmengine - INFO - Epoch(train) [15][45/125] lr: 9.9159e-04 eta: 1 day, 7:47:09 time: 0.5689 data_time: 0.0168 memory: 9483 loss_text: 1.1697 loss_center: 2.8736 loss_reg_x: 2.3988 loss_reg_y: 1.9190 loss: 8.3610 2022/08/25 22:35:16 - mmengine - INFO - Epoch(train) [15][50/125] lr: 9.9159e-04 eta: 1 day, 7:45:56 time: 0.5513 data_time: 0.0162 memory: 9483 loss_text: 1.1818 loss_center: 2.8760 loss_reg_x: 2.6181 loss_reg_y: 2.3487 loss: 9.0246 2022/08/25 22:35:19 - mmengine - INFO - Epoch(train) [15][55/125] lr: 9.9159e-04 eta: 1 day, 7:45:56 time: 0.5317 data_time: 0.0126 memory: 9483 loss_text: 1.3231 loss_center: 2.9055 loss_reg_x: 2.8753 loss_reg_y: 2.6467 loss: 9.7506 2022/08/25 22:35:22 - mmengine - INFO - Epoch(train) [15][60/125] lr: 9.9159e-04 eta: 1 day, 7:46:09 time: 0.6346 data_time: 0.0350 memory: 9483 loss_text: 1.2917 loss_center: 2.9037 loss_reg_x: 2.7214 loss_reg_y: 2.4906 loss: 9.4074 2022/08/25 22:35:25 - mmengine - INFO - Epoch(train) [15][65/125] lr: 9.9159e-04 eta: 1 day, 7:46:09 time: 0.6130 data_time: 0.0374 memory: 9483 loss_text: 1.1891 loss_center: 2.8790 loss_reg_x: 2.3227 loss_reg_y: 2.1844 loss: 8.5752 2022/08/25 22:35:27 - mmengine - INFO - Epoch(train) [15][70/125] lr: 9.9159e-04 eta: 1 day, 7:44:01 time: 0.4961 data_time: 0.0150 memory: 9483 loss_text: 1.1933 loss_center: 2.8713 loss_reg_x: 2.2031 loss_reg_y: 2.0442 loss: 8.3118 2022/08/25 22:35:30 - mmengine - INFO - Epoch(train) [15][75/125] lr: 9.9159e-04 eta: 1 day, 7:44:01 time: 0.5258 data_time: 0.0116 memory: 9483 loss_text: 1.1516 loss_center: 2.8658 loss_reg_x: 2.0670 loss_reg_y: 1.9338 loss: 8.0183 2022/08/25 22:35:32 - mmengine - INFO - Epoch(train) [15][80/125] lr: 9.9159e-04 eta: 1 day, 7:42:32 time: 0.5338 data_time: 0.0149 memory: 9483 loss_text: 1.2174 loss_center: 2.8793 loss_reg_x: 2.3278 loss_reg_y: 1.8263 loss: 8.2508 2022/08/25 22:35:35 - mmengine - INFO - Epoch(train) [15][85/125] lr: 9.9159e-04 eta: 1 day, 7:42:32 time: 0.5249 data_time: 0.0188 memory: 9483 loss_text: 1.2310 loss_center: 2.9055 loss_reg_x: 2.6652 loss_reg_y: 1.9584 loss: 8.7601 2022/08/25 22:35:38 - mmengine - INFO - Epoch(train) [15][90/125] lr: 9.9159e-04 eta: 1 day, 7:40:39 time: 0.5091 data_time: 0.0147 memory: 9483 loss_text: 1.2305 loss_center: 2.9312 loss_reg_x: 2.6967 loss_reg_y: 2.1500 loss: 9.0084 2022/08/25 22:35:44 - mmengine - INFO - Epoch(train) [15][95/125] lr: 9.9159e-04 eta: 1 day, 7:40:39 time: 0.9063 data_time: 0.0121 memory: 9483 loss_text: 1.3083 loss_center: 2.9291 loss_reg_x: 2.8683 loss_reg_y: 2.3208 loss: 9.4266 2022/08/25 22:35:47 - mmengine - INFO - Epoch(train) [15][100/125] lr: 9.9159e-04 eta: 1 day, 7:46:04 time: 0.9444 data_time: 0.0160 memory: 9483 loss_text: 1.2111 loss_center: 2.8749 loss_reg_x: 2.5591 loss_reg_y: 2.1332 loss: 8.7784 2022/08/25 22:35:49 - mmengine - INFO - Epoch(train) [15][105/125] lr: 9.9159e-04 eta: 1 day, 7:46:04 time: 0.5232 data_time: 0.0188 memory: 9483 loss_text: 1.1156 loss_center: 2.8582 loss_reg_x: 2.2928 loss_reg_y: 1.9719 loss: 8.2385 2022/08/25 22:35:52 - mmengine - INFO - Epoch(train) [15][110/125] lr: 9.9159e-04 eta: 1 day, 7:44:07 time: 0.5048 data_time: 0.0177 memory: 9483 loss_text: 1.1972 loss_center: 2.8769 loss_reg_x: 2.5338 loss_reg_y: 2.4658 loss: 9.0736 2022/08/25 22:35:54 - mmengine - INFO - Epoch(train) [15][115/125] lr: 9.9159e-04 eta: 1 day, 7:44:07 time: 0.4927 data_time: 0.0136 memory: 9483 loss_text: 1.2707 loss_center: 2.8955 loss_reg_x: 2.8207 loss_reg_y: 2.9168 loss: 9.9037 2022/08/25 22:35:57 - mmengine - INFO - Epoch(train) [15][120/125] lr: 9.9159e-04 eta: 1 day, 7:42:02 time: 0.4959 data_time: 0.0148 memory: 9483 loss_text: 1.1825 loss_center: 2.9030 loss_reg_x: 2.4715 loss_reg_y: 2.5371 loss: 9.0942 2022/08/25 22:36:01 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:36:01 - mmengine - INFO - Epoch(train) [15][125/125] lr: 9.9159e-04 eta: 1 day, 7:42:02 time: 0.6427 data_time: 0.0188 memory: 9483 loss_text: 1.0952 loss_center: 2.8820 loss_reg_x: 2.1189 loss_reg_y: 2.0390 loss: 8.1350 2022/08/25 22:36:04 - mmengine - INFO - Epoch(train) [16][5/125] lr: 9.9099e-04 eta: 1 day, 7:42:02 time: 0.7211 data_time: 0.0907 memory: 9483 loss_text: 1.0441 loss_center: 2.8640 loss_reg_x: 2.0269 loss_reg_y: 1.8548 loss: 7.7897 2022/08/25 22:36:07 - mmengine - INFO - Epoch(train) [16][10/125] lr: 9.9099e-04 eta: 1 day, 7:36:24 time: 0.5883 data_time: 0.0891 memory: 9483 loss_text: 1.1576 loss_center: 2.8747 loss_reg_x: 2.3006 loss_reg_y: 1.8769 loss: 8.2099 2022/08/25 22:36:10 - mmengine - INFO - Epoch(train) [16][15/125] lr: 9.9099e-04 eta: 1 day, 7:36:24 time: 0.5657 data_time: 0.0165 memory: 9483 loss_text: 1.2296 loss_center: 2.8874 loss_reg_x: 2.6874 loss_reg_y: 2.1778 loss: 8.9823 2022/08/25 22:36:12 - mmengine - INFO - Epoch(train) [16][20/125] lr: 9.9099e-04 eta: 1 day, 7:35:27 time: 0.5611 data_time: 0.0157 memory: 9483 loss_text: 1.2116 loss_center: 2.8916 loss_reg_x: 2.6063 loss_reg_y: 2.2907 loss: 9.0002 2022/08/25 22:36:15 - mmengine - INFO - Epoch(train) [16][25/125] lr: 9.9099e-04 eta: 1 day, 7:35:27 time: 0.5004 data_time: 0.0128 memory: 9483 loss_text: 1.2468 loss_center: 2.8928 loss_reg_x: 2.5461 loss_reg_y: 2.2251 loss: 8.9108 2022/08/25 22:36:17 - mmengine - INFO - Epoch(train) [16][30/125] lr: 9.9099e-04 eta: 1 day, 7:33:21 time: 0.4888 data_time: 0.0112 memory: 9483 loss_text: 1.1744 loss_center: 2.8866 loss_reg_x: 2.6022 loss_reg_y: 2.4426 loss: 9.1059 2022/08/25 22:36:22 - mmengine - INFO - Epoch(train) [16][35/125] lr: 9.9099e-04 eta: 1 day, 7:33:21 time: 0.7167 data_time: 0.0153 memory: 9483 loss_text: 1.1358 loss_center: 2.8634 loss_reg_x: 2.6060 loss_reg_y: 2.2370 loss: 8.8422 2022/08/25 22:36:24 - mmengine - INFO - Epoch(train) [16][40/125] lr: 9.9099e-04 eta: 1 day, 7:35:02 time: 0.7229 data_time: 0.0157 memory: 9483 loss_text: 1.1297 loss_center: 2.8677 loss_reg_x: 2.4556 loss_reg_y: 1.9007 loss: 8.3537 2022/08/25 22:36:27 - mmengine - INFO - Epoch(train) [16][45/125] lr: 9.9099e-04 eta: 1 day, 7:35:02 time: 0.4916 data_time: 0.0127 memory: 9483 loss_text: 1.1202 loss_center: 2.8839 loss_reg_x: 2.5059 loss_reg_y: 2.1177 loss: 8.6276 2022/08/25 22:36:29 - mmengine - INFO - Epoch(train) [16][50/125] lr: 9.9099e-04 eta: 1 day, 7:33:06 time: 0.4987 data_time: 0.0132 memory: 9483 loss_text: 1.1763 loss_center: 2.8800 loss_reg_x: 2.5471 loss_reg_y: 2.4364 loss: 9.0397 2022/08/25 22:36:32 - mmengine - INFO - Epoch(train) [16][55/125] lr: 9.9099e-04 eta: 1 day, 7:33:06 time: 0.5190 data_time: 0.0183 memory: 9483 loss_text: 1.0793 loss_center: 2.8697 loss_reg_x: 2.1776 loss_reg_y: 2.2101 loss: 8.3366 2022/08/25 22:36:34 - mmengine - INFO - Epoch(train) [16][60/125] lr: 9.9099e-04 eta: 1 day, 7:31:09 time: 0.4966 data_time: 0.0175 memory: 9483 loss_text: 1.0436 loss_center: 2.8565 loss_reg_x: 1.9313 loss_reg_y: 1.7005 loss: 7.5319 2022/08/25 22:36:37 - mmengine - INFO - Epoch(train) [16][65/125] lr: 9.9099e-04 eta: 1 day, 7:31:09 time: 0.4781 data_time: 0.0126 memory: 9483 loss_text: 1.1529 loss_center: 2.8154 loss_reg_x: 2.1108 loss_reg_y: 1.9649 loss: 8.0440 2022/08/25 22:36:41 - mmengine - INFO - Epoch(train) [16][70/125] lr: 9.9099e-04 eta: 1 day, 7:32:08 time: 0.6802 data_time: 0.0348 memory: 9483 loss_text: 1.2324 loss_center: 2.8375 loss_reg_x: 2.5764 loss_reg_y: 2.3881 loss: 9.0345 2022/08/25 22:36:44 - mmengine - INFO - Epoch(train) [16][75/125] lr: 9.9099e-04 eta: 1 day, 7:32:08 time: 0.6966 data_time: 0.0393 memory: 9483 loss_text: 1.1752 loss_center: 2.8303 loss_reg_x: 2.4335 loss_reg_y: 2.0859 loss: 8.5248 2022/08/25 22:36:46 - mmengine - INFO - Epoch(train) [16][80/125] lr: 9.9099e-04 eta: 1 day, 7:30:29 time: 0.5130 data_time: 0.0174 memory: 9483 loss_text: 1.0979 loss_center: 2.8225 loss_reg_x: 2.0378 loss_reg_y: 1.8351 loss: 7.7933 2022/08/25 22:36:49 - mmengine - INFO - Epoch(train) [16][85/125] lr: 9.9099e-04 eta: 1 day, 7:30:29 time: 0.5482 data_time: 0.0136 memory: 9483 loss_text: 1.1085 loss_center: 2.8694 loss_reg_x: 2.1047 loss_reg_y: 1.7936 loss: 7.8763 2022/08/25 22:36:52 - mmengine - INFO - Epoch(train) [16][90/125] lr: 9.9099e-04 eta: 1 day, 7:29:59 time: 0.5866 data_time: 0.0165 memory: 9483 loss_text: 1.1298 loss_center: 2.8700 loss_reg_x: 2.1287 loss_reg_y: 1.7724 loss: 7.9009 2022/08/25 22:36:55 - mmengine - INFO - Epoch(train) [16][95/125] lr: 9.9099e-04 eta: 1 day, 7:29:59 time: 0.5277 data_time: 0.0188 memory: 9483 loss_text: 1.2443 loss_center: 2.8923 loss_reg_x: 2.2138 loss_reg_y: 1.9995 loss: 8.3499 2022/08/25 22:36:57 - mmengine - INFO - Epoch(train) [16][100/125] lr: 9.9099e-04 eta: 1 day, 7:27:44 time: 0.4738 data_time: 0.0164 memory: 9483 loss_text: 1.2492 loss_center: 2.8924 loss_reg_x: 2.1169 loss_reg_y: 1.7675 loss: 8.0261 2022/08/25 22:37:00 - mmengine - INFO - Epoch(train) [16][105/125] lr: 9.9099e-04 eta: 1 day, 7:27:44 time: 0.5014 data_time: 0.0132 memory: 9483 loss_text: 1.1912 loss_center: 2.8909 loss_reg_x: 2.2286 loss_reg_y: 2.1119 loss: 8.4225 2022/08/25 22:37:02 - mmengine - INFO - Epoch(train) [16][110/125] lr: 9.9099e-04 eta: 1 day, 7:26:42 time: 0.5504 data_time: 0.0158 memory: 9483 loss_text: 1.2227 loss_center: 2.8670 loss_reg_x: 2.4843 loss_reg_y: 2.3985 loss: 8.9725 2022/08/25 22:37:05 - mmengine - INFO - Epoch(train) [16][115/125] lr: 9.9099e-04 eta: 1 day, 7:26:42 time: 0.5498 data_time: 0.0259 memory: 9483 loss_text: 1.2358 loss_center: 2.8744 loss_reg_x: 2.4535 loss_reg_y: 2.3803 loss: 8.9440 2022/08/25 22:37:08 - mmengine - INFO - Epoch(train) [16][120/125] lr: 9.9099e-04 eta: 1 day, 7:25:17 time: 0.5257 data_time: 0.0223 memory: 9483 loss_text: 1.1230 loss_center: 2.8894 loss_reg_x: 2.1788 loss_reg_y: 2.2043 loss: 8.3956 2022/08/25 22:37:10 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:37:10 - mmengine - INFO - Epoch(train) [16][125/125] lr: 9.9099e-04 eta: 1 day, 7:25:17 time: 0.5285 data_time: 0.0119 memory: 9483 loss_text: 1.0837 loss_center: 2.8590 loss_reg_x: 2.3851 loss_reg_y: 1.8327 loss: 8.1605 2022/08/25 22:37:14 - mmengine - INFO - Epoch(train) [17][5/125] lr: 9.9039e-04 eta: 1 day, 7:25:17 time: 0.6014 data_time: 0.0690 memory: 9483 loss_text: 1.0845 loss_center: 2.8456 loss_reg_x: 2.3252 loss_reg_y: 1.8196 loss: 8.0750 2022/08/25 22:37:16 - mmengine - INFO - Epoch(train) [17][10/125] lr: 9.9039e-04 eta: 1 day, 7:19:58 time: 0.5788 data_time: 0.0708 memory: 9483 loss_text: 1.0185 loss_center: 2.8560 loss_reg_x: 2.0443 loss_reg_y: 1.8724 loss: 7.7912 2022/08/25 22:37:22 - mmengine - INFO - Epoch(train) [17][15/125] lr: 9.9039e-04 eta: 1 day, 7:19:58 time: 0.8580 data_time: 0.0133 memory: 9483 loss_text: 0.9713 loss_center: 2.8573 loss_reg_x: 2.0434 loss_reg_y: 1.6987 loss: 7.5707 2022/08/25 22:37:25 - mmengine - INFO - Epoch(train) [17][20/125] lr: 9.9039e-04 eta: 1 day, 7:23:35 time: 0.8514 data_time: 0.0121 memory: 9483 loss_text: 1.0473 loss_center: 2.8822 loss_reg_x: 2.0877 loss_reg_y: 1.7216 loss: 7.7388 2022/08/25 22:37:27 - mmengine - INFO - Epoch(train) [17][25/125] lr: 9.9039e-04 eta: 1 day, 7:23:35 time: 0.4841 data_time: 0.0151 memory: 9483 loss_text: 1.1588 loss_center: 2.8932 loss_reg_x: 2.3889 loss_reg_y: 2.0603 loss: 8.5013 2022/08/25 22:37:30 - mmengine - INFO - Epoch(train) [17][30/125] lr: 9.9039e-04 eta: 1 day, 7:22:12 time: 0.5253 data_time: 0.0193 memory: 9483 loss_text: 1.1884 loss_center: 2.8684 loss_reg_x: 2.2094 loss_reg_y: 1.7594 loss: 8.0256 2022/08/25 22:37:32 - mmengine - INFO - Epoch(train) [17][35/125] lr: 9.9039e-04 eta: 1 day, 7:22:12 time: 0.5255 data_time: 0.0196 memory: 9483 loss_text: 1.2115 loss_center: 2.8815 loss_reg_x: 2.2578 loss_reg_y: 1.9893 loss: 8.3401 2022/08/25 22:37:35 - mmengine - INFO - Epoch(train) [17][40/125] lr: 9.9039e-04 eta: 1 day, 7:20:51 time: 0.5259 data_time: 0.0133 memory: 9483 loss_text: 1.1622 loss_center: 2.8912 loss_reg_x: 2.5761 loss_reg_y: 2.1554 loss: 8.7848 2022/08/25 22:37:38 - mmengine - INFO - Epoch(train) [17][45/125] lr: 9.9039e-04 eta: 1 day, 7:20:51 time: 0.5322 data_time: 0.0177 memory: 9483 loss_text: 1.1767 loss_center: 2.8962 loss_reg_x: 2.4411 loss_reg_y: 1.9048 loss: 8.4187 2022/08/25 22:37:42 - mmengine - INFO - Epoch(train) [17][50/125] lr: 9.9039e-04 eta: 1 day, 7:22:10 time: 0.7030 data_time: 0.0193 memory: 9483 loss_text: 1.2489 loss_center: 2.9101 loss_reg_x: 2.4569 loss_reg_y: 2.2844 loss: 8.9003 2022/08/25 22:37:45 - mmengine - INFO - Epoch(train) [17][55/125] lr: 9.9039e-04 eta: 1 day, 7:22:10 time: 0.6885 data_time: 0.0122 memory: 9483 loss_text: 1.1944 loss_center: 2.8829 loss_reg_x: 2.4255 loss_reg_y: 2.3672 loss: 8.8700 2022/08/25 22:37:47 - mmengine - INFO - Epoch(train) [17][60/125] lr: 9.9039e-04 eta: 1 day, 7:20:18 time: 0.4909 data_time: 0.0139 memory: 9483 loss_text: 1.1303 loss_center: 2.8671 loss_reg_x: 2.2916 loss_reg_y: 1.9042 loss: 8.1931 2022/08/25 22:37:51 - mmengine - INFO - Epoch(train) [17][65/125] lr: 9.9039e-04 eta: 1 day, 7:20:18 time: 0.6644 data_time: 0.0180 memory: 9483 loss_text: 1.1297 loss_center: 2.8847 loss_reg_x: 2.3680 loss_reg_y: 2.0380 loss: 8.4205 2022/08/25 22:37:54 - mmengine - INFO - Epoch(train) [17][70/125] lr: 9.9039e-04 eta: 1 day, 7:21:15 time: 0.6791 data_time: 0.0184 memory: 9483 loss_text: 1.0750 loss_center: 2.8240 loss_reg_x: 2.4150 loss_reg_y: 2.2146 loss: 8.5286 2022/08/25 22:37:57 - mmengine - INFO - Epoch(train) [17][75/125] lr: 9.9039e-04 eta: 1 day, 7:21:15 time: 0.5291 data_time: 0.0141 memory: 9483 loss_text: 1.0949 loss_center: 2.8231 loss_reg_x: 2.6051 loss_reg_y: 2.1354 loss: 8.6585 2022/08/25 22:38:01 - mmengine - INFO - Epoch(train) [17][80/125] lr: 9.9039e-04 eta: 1 day, 7:21:50 time: 0.6552 data_time: 0.0342 memory: 9483 loss_text: 1.0769 loss_center: 2.8132 loss_reg_x: 2.3292 loss_reg_y: 1.8510 loss: 8.0703 2022/08/25 22:38:03 - mmengine - INFO - Epoch(train) [17][85/125] lr: 9.9039e-04 eta: 1 day, 7:21:50 time: 0.6507 data_time: 0.0406 memory: 9483 loss_text: 1.0255 loss_center: 2.8006 loss_reg_x: 2.0922 loss_reg_y: 2.0607 loss: 7.9790 2022/08/25 22:38:06 - mmengine - INFO - Epoch(train) [17][90/125] lr: 9.9039e-04 eta: 1 day, 7:20:13 time: 0.5063 data_time: 0.0193 memory: 9483 loss_text: 1.1401 loss_center: 2.8583 loss_reg_x: 2.3741 loss_reg_y: 2.2991 loss: 8.6716 2022/08/25 22:38:08 - mmengine - INFO - Epoch(train) [17][95/125] lr: 9.9039e-04 eta: 1 day, 7:20:13 time: 0.4935 data_time: 0.0130 memory: 9483 loss_text: 1.1988 loss_center: 2.8779 loss_reg_x: 2.3448 loss_reg_y: 2.1572 loss: 8.5787 2022/08/25 22:38:12 - mmengine - INFO - Epoch(train) [17][100/125] lr: 9.9039e-04 eta: 1 day, 7:20:17 time: 0.6194 data_time: 0.0263 memory: 9483 loss_text: 1.1184 loss_center: 2.8947 loss_reg_x: 2.1862 loss_reg_y: 2.1154 loss: 8.3148 2022/08/25 22:38:14 - mmengine - INFO - Epoch(train) [17][105/125] lr: 9.9039e-04 eta: 1 day, 7:20:17 time: 0.6280 data_time: 0.0298 memory: 9483 loss_text: 1.0967 loss_center: 2.8816 loss_reg_x: 2.1346 loss_reg_y: 1.8349 loss: 7.9478 2022/08/25 22:38:17 - mmengine - INFO - Epoch(train) [17][110/125] lr: 9.9039e-04 eta: 1 day, 7:18:21 time: 0.4832 data_time: 0.0154 memory: 9483 loss_text: 1.1349 loss_center: 2.8558 loss_reg_x: 2.2661 loss_reg_y: 1.7859 loss: 8.0428 2022/08/25 22:38:20 - mmengine - INFO - Epoch(train) [17][115/125] lr: 9.9039e-04 eta: 1 day, 7:18:21 time: 0.5672 data_time: 0.0127 memory: 9483 loss_text: 1.1410 loss_center: 2.8568 loss_reg_x: 2.1896 loss_reg_y: 1.8948 loss: 8.0823 2022/08/25 22:38:22 - mmengine - INFO - Epoch(train) [17][120/125] lr: 9.9039e-04 eta: 1 day, 7:17:48 time: 0.5774 data_time: 0.0125 memory: 9483 loss_text: 1.1681 loss_center: 2.8637 loss_reg_x: 2.2275 loss_reg_y: 2.3328 loss: 8.5921 2022/08/25 22:38:25 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:38:25 - mmengine - INFO - Epoch(train) [17][125/125] lr: 9.9039e-04 eta: 1 day, 7:17:48 time: 0.4717 data_time: 0.0154 memory: 9483 loss_text: 1.1610 loss_center: 2.8716 loss_reg_x: 2.5735 loss_reg_y: 2.5412 loss: 9.1472 2022/08/25 22:38:28 - mmengine - INFO - Epoch(train) [18][5/125] lr: 9.8979e-04 eta: 1 day, 7:17:48 time: 0.5746 data_time: 0.1162 memory: 9483 loss_text: 1.1660 loss_center: 2.8890 loss_reg_x: 2.6571 loss_reg_y: 2.3516 loss: 9.0637 2022/08/25 22:38:31 - mmengine - INFO - Epoch(train) [18][10/125] lr: 9.8979e-04 eta: 1 day, 7:14:00 time: 0.6594 data_time: 0.1157 memory: 9483 loss_text: 1.1671 loss_center: 2.8716 loss_reg_x: 2.5244 loss_reg_y: 2.1442 loss: 8.7072 2022/08/25 22:38:34 - mmengine - INFO - Epoch(train) [18][15/125] lr: 9.8979e-04 eta: 1 day, 7:14:00 time: 0.5784 data_time: 0.0149 memory: 9483 loss_text: 1.2647 loss_center: 2.8769 loss_reg_x: 2.5970 loss_reg_y: 2.2468 loss: 8.9854 2022/08/25 22:38:37 - mmengine - INFO - Epoch(train) [18][20/125] lr: 9.8979e-04 eta: 1 day, 7:12:52 time: 0.5346 data_time: 0.0150 memory: 9483 loss_text: 1.2211 loss_center: 2.8850 loss_reg_x: 2.5706 loss_reg_y: 2.1852 loss: 8.8618 2022/08/25 22:38:42 - mmengine - INFO - Epoch(train) [18][25/125] lr: 9.8979e-04 eta: 1 day, 7:12:52 time: 0.8089 data_time: 0.0162 memory: 9483 loss_text: 1.1151 loss_center: 2.8657 loss_reg_x: 2.3202 loss_reg_y: 1.8630 loss: 8.1639 2022/08/25 22:38:45 - mmengine - INFO - Epoch(train) [18][30/125] lr: 9.8979e-04 eta: 1 day, 7:15:32 time: 0.7995 data_time: 0.0178 memory: 9483 loss_text: 1.1555 loss_center: 2.8675 loss_reg_x: 2.1913 loss_reg_y: 1.8318 loss: 8.0461 2022/08/25 22:38:47 - mmengine - INFO - Epoch(train) [18][35/125] lr: 9.8979e-04 eta: 1 day, 7:15:32 time: 0.5007 data_time: 0.0198 memory: 9483 loss_text: 1.2459 loss_center: 2.8902 loss_reg_x: 2.3534 loss_reg_y: 2.0770 loss: 8.5666 2022/08/25 22:38:50 - mmengine - INFO - Epoch(train) [18][40/125] lr: 9.8979e-04 eta: 1 day, 7:14:47 time: 0.5619 data_time: 0.0398 memory: 9483 loss_text: 1.2200 loss_center: 2.8810 loss_reg_x: 2.2501 loss_reg_y: 2.0235 loss: 8.3746 2022/08/25 22:38:53 - mmengine - INFO - Epoch(train) [18][45/125] lr: 9.8979e-04 eta: 1 day, 7:14:47 time: 0.5969 data_time: 0.0459 memory: 9483 loss_text: 1.1016 loss_center: 2.8641 loss_reg_x: 2.3112 loss_reg_y: 1.8039 loss: 8.0808 2022/08/25 22:38:55 - mmengine - INFO - Epoch(train) [18][50/125] lr: 9.8979e-04 eta: 1 day, 7:13:28 time: 0.5210 data_time: 0.0255 memory: 9483 loss_text: 1.1375 loss_center: 2.8737 loss_reg_x: 2.5279 loss_reg_y: 2.0094 loss: 8.5485 2022/08/25 22:38:58 - mmengine - INFO - Epoch(train) [18][55/125] lr: 9.8979e-04 eta: 1 day, 7:13:28 time: 0.5020 data_time: 0.0183 memory: 9483 loss_text: 1.0987 loss_center: 2.8651 loss_reg_x: 2.0087 loss_reg_y: 1.8078 loss: 7.7803 2022/08/25 22:39:01 - mmengine - INFO - Epoch(train) [18][60/125] lr: 9.8979e-04 eta: 1 day, 7:11:59 time: 0.5096 data_time: 0.0149 memory: 9483 loss_text: 1.1132 loss_center: 2.8588 loss_reg_x: 2.0236 loss_reg_y: 1.8230 loss: 7.8187 2022/08/25 22:39:03 - mmengine - INFO - Epoch(train) [18][65/125] lr: 9.8979e-04 eta: 1 day, 7:11:59 time: 0.4827 data_time: 0.0139 memory: 9483 loss_text: 1.2024 loss_center: 2.8629 loss_reg_x: 2.3684 loss_reg_y: 2.1031 loss: 8.5368 2022/08/25 22:39:05 - mmengine - INFO - Epoch(train) [18][70/125] lr: 9.8979e-04 eta: 1 day, 7:10:11 time: 0.4848 data_time: 0.0126 memory: 9483 loss_text: 1.1845 loss_center: 2.8700 loss_reg_x: 2.2839 loss_reg_y: 1.9863 loss: 8.3247 2022/08/25 22:39:08 - mmengine - INFO - Epoch(train) [18][75/125] lr: 9.8979e-04 eta: 1 day, 7:10:11 time: 0.5057 data_time: 0.0122 memory: 9483 loss_text: 1.1179 loss_center: 2.8607 loss_reg_x: 2.1564 loss_reg_y: 1.7626 loss: 7.8975 2022/08/25 22:39:12 - mmengine - INFO - Epoch(train) [18][80/125] lr: 9.8979e-04 eta: 1 day, 7:10:40 time: 0.6470 data_time: 0.0150 memory: 9483 loss_text: 1.1583 loss_center: 2.8626 loss_reg_x: 2.6906 loss_reg_y: 2.1533 loss: 8.8647 2022/08/25 22:39:14 - mmengine - INFO - Epoch(train) [18][85/125] lr: 9.8979e-04 eta: 1 day, 7:10:40 time: 0.6496 data_time: 0.0150 memory: 9483 loss_text: 1.1637 loss_center: 2.8911 loss_reg_x: 2.7176 loss_reg_y: 2.3052 loss: 9.0776 2022/08/25 22:39:17 - mmengine - INFO - Epoch(train) [18][90/125] lr: 9.8979e-04 eta: 1 day, 7:09:21 time: 0.5185 data_time: 0.0124 memory: 9483 loss_text: 1.0320 loss_center: 2.8694 loss_reg_x: 2.1158 loss_reg_y: 1.8539 loss: 7.8711 2022/08/25 22:39:20 - mmengine - INFO - Epoch(train) [18][95/125] lr: 9.8979e-04 eta: 1 day, 7:09:21 time: 0.5588 data_time: 0.0119 memory: 9483 loss_text: 1.0169 loss_center: 2.8672 loss_reg_x: 1.9370 loss_reg_y: 2.0477 loss: 7.8688 2022/08/25 22:39:23 - mmengine - INFO - Epoch(train) [18][100/125] lr: 9.8979e-04 eta: 1 day, 7:08:39 time: 0.5631 data_time: 0.0189 memory: 9483 loss_text: 1.1609 loss_center: 2.8869 loss_reg_x: 2.3745 loss_reg_y: 2.4229 loss: 8.8452 2022/08/25 22:39:25 - mmengine - INFO - Epoch(train) [18][105/125] lr: 9.8979e-04 eta: 1 day, 7:08:39 time: 0.4987 data_time: 0.0194 memory: 9483 loss_text: 1.2499 loss_center: 2.8819 loss_reg_x: 2.6062 loss_reg_y: 2.4739 loss: 9.2119 2022/08/25 22:39:27 - mmengine - INFO - Epoch(train) [18][110/125] lr: 9.8979e-04 eta: 1 day, 7:06:38 time: 0.4656 data_time: 0.0157 memory: 9483 loss_text: 1.1669 loss_center: 2.8922 loss_reg_x: 2.2331 loss_reg_y: 2.1325 loss: 8.4248 2022/08/25 22:39:31 - mmengine - INFO - Epoch(train) [18][115/125] lr: 9.8979e-04 eta: 1 day, 7:06:38 time: 0.5652 data_time: 0.0293 memory: 9483 loss_text: 1.1582 loss_center: 2.8878 loss_reg_x: 2.2124 loss_reg_y: 1.8610 loss: 8.1194 2022/08/25 22:39:33 - mmengine - INFO - Epoch(train) [18][120/125] lr: 9.8979e-04 eta: 1 day, 7:06:22 time: 0.5933 data_time: 0.0289 memory: 9483 loss_text: 1.1052 loss_center: 2.7996 loss_reg_x: 2.1883 loss_reg_y: 1.7031 loss: 7.7963 2022/08/25 22:39:36 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:39:36 - mmengine - INFO - Epoch(train) [18][125/125] lr: 9.8979e-04 eta: 1 day, 7:06:22 time: 0.5244 data_time: 0.0146 memory: 9483 loss_text: 1.2016 loss_center: 2.8090 loss_reg_x: 2.7148 loss_reg_y: 2.0297 loss: 8.7551 2022/08/25 22:39:39 - mmengine - INFO - Epoch(train) [19][5/125] lr: 9.8919e-04 eta: 1 day, 7:06:22 time: 0.5540 data_time: 0.0644 memory: 9483 loss_text: 1.2781 loss_center: 2.8717 loss_reg_x: 2.7433 loss_reg_y: 2.1513 loss: 9.0443 2022/08/25 22:39:41 - mmengine - INFO - Epoch(train) [19][10/125] lr: 9.8919e-04 eta: 1 day, 7:01:07 time: 0.5328 data_time: 0.0654 memory: 9483 loss_text: 1.2481 loss_center: 2.8771 loss_reg_x: 2.4394 loss_reg_y: 2.0835 loss: 8.6480 2022/08/25 22:39:44 - mmengine - INFO - Epoch(train) [19][15/125] lr: 9.8919e-04 eta: 1 day, 7:01:07 time: 0.4877 data_time: 0.0157 memory: 9483 loss_text: 1.2514 loss_center: 2.8934 loss_reg_x: 2.6025 loss_reg_y: 2.3947 loss: 9.1421 2022/08/25 22:39:46 - mmengine - INFO - Epoch(train) [19][20/125] lr: 9.8919e-04 eta: 1 day, 6:59:34 time: 0.4965 data_time: 0.0151 memory: 9483 loss_text: 1.1825 loss_center: 2.8782 loss_reg_x: 2.2370 loss_reg_y: 2.1669 loss: 8.4646 2022/08/25 22:39:53 - mmengine - INFO - Epoch(train) [19][25/125] lr: 9.8919e-04 eta: 1 day, 6:59:34 time: 0.8792 data_time: 0.0122 memory: 9483 loss_text: 1.1585 loss_center: 2.8713 loss_reg_x: 2.0786 loss_reg_y: 1.8804 loss: 7.9888 2022/08/25 22:39:56 - mmengine - INFO - Epoch(train) [19][30/125] lr: 9.8919e-04 eta: 1 day, 7:04:08 time: 0.9474 data_time: 0.0222 memory: 9483 loss_text: 1.1809 loss_center: 2.8776 loss_reg_x: 2.3484 loss_reg_y: 1.9654 loss: 8.3723 2022/08/25 22:39:58 - mmengine - INFO - Epoch(train) [19][35/125] lr: 9.8919e-04 eta: 1 day, 7:04:08 time: 0.5633 data_time: 0.0275 memory: 9483 loss_text: 1.2565 loss_center: 2.8599 loss_reg_x: 2.6266 loss_reg_y: 2.0569 loss: 8.7999 2022/08/25 22:40:01 - mmengine - INFO - Epoch(train) [19][40/125] lr: 9.8919e-04 eta: 1 day, 7:02:42 time: 0.5050 data_time: 0.0179 memory: 9483 loss_text: 1.2029 loss_center: 2.8607 loss_reg_x: 2.7046 loss_reg_y: 2.0645 loss: 8.8327 2022/08/25 22:40:03 - mmengine - INFO - Epoch(train) [19][45/125] lr: 9.8919e-04 eta: 1 day, 7:02:42 time: 0.4993 data_time: 0.0126 memory: 9483 loss_text: 1.1970 loss_center: 2.8923 loss_reg_x: 2.4867 loss_reg_y: 2.0655 loss: 8.6416 2022/08/25 22:40:06 - mmengine - INFO - Epoch(train) [19][50/125] lr: 9.8919e-04 eta: 1 day, 7:01:11 time: 0.4976 data_time: 0.0145 memory: 9483 loss_text: 1.2722 loss_center: 2.8829 loss_reg_x: 2.3914 loss_reg_y: 1.9737 loss: 8.5202 2022/08/25 22:40:08 - mmengine - INFO - Epoch(train) [19][55/125] lr: 9.8919e-04 eta: 1 day, 7:01:11 time: 0.5095 data_time: 0.0188 memory: 9483 loss_text: 1.1552 loss_center: 2.8543 loss_reg_x: 2.2759 loss_reg_y: 1.7570 loss: 8.0425 2022/08/25 22:40:14 - mmengine - INFO - Epoch(train) [19][60/125] lr: 9.8919e-04 eta: 1 day, 7:04:12 time: 0.8359 data_time: 0.0509 memory: 9483 loss_text: 1.0914 loss_center: 2.8472 loss_reg_x: 2.4224 loss_reg_y: 1.9871 loss: 8.3482 2022/08/25 22:40:17 - mmengine - INFO - Epoch(train) [19][65/125] lr: 9.8919e-04 eta: 1 day, 7:04:12 time: 0.8624 data_time: 0.0540 memory: 9483 loss_text: 1.1487 loss_center: 2.8644 loss_reg_x: 2.5806 loss_reg_y: 2.1101 loss: 8.7039 2022/08/25 22:40:20 - mmengine - INFO - Epoch(train) [19][70/125] lr: 9.8919e-04 eta: 1 day, 7:03:28 time: 0.5571 data_time: 0.0201 memory: 9483 loss_text: 1.1354 loss_center: 2.8680 loss_reg_x: 2.2653 loss_reg_y: 1.6578 loss: 7.9265 2022/08/25 22:40:22 - mmengine - INFO - Epoch(train) [19][75/125] lr: 9.8919e-04 eta: 1 day, 7:03:28 time: 0.5259 data_time: 0.0125 memory: 9483 loss_text: 1.1325 loss_center: 2.8682 loss_reg_x: 2.1604 loss_reg_y: 1.6048 loss: 7.7659 2022/08/25 22:40:25 - mmengine - INFO - Epoch(train) [19][80/125] lr: 9.8919e-04 eta: 1 day, 7:02:01 time: 0.5014 data_time: 0.0118 memory: 9483 loss_text: 1.0422 loss_center: 2.8778 loss_reg_x: 2.0690 loss_reg_y: 1.8258 loss: 7.8147 2022/08/25 22:40:27 - mmengine - INFO - Epoch(train) [19][85/125] lr: 9.8919e-04 eta: 1 day, 7:02:01 time: 0.4856 data_time: 0.0141 memory: 9483 loss_text: 1.0279 loss_center: 2.8759 loss_reg_x: 2.2012 loss_reg_y: 1.8618 loss: 7.9668 2022/08/25 22:40:33 - mmengine - INFO - Epoch(train) [19][90/125] lr: 9.8919e-04 eta: 1 day, 7:04:56 time: 0.8316 data_time: 0.0142 memory: 9483 loss_text: 1.0782 loss_center: 2.8892 loss_reg_x: 2.6127 loss_reg_y: 2.1524 loss: 8.7325 2022/08/25 22:40:36 - mmengine - INFO - Epoch(train) [19][95/125] lr: 9.8919e-04 eta: 1 day, 7:04:56 time: 0.8590 data_time: 0.0135 memory: 9483 loss_text: 1.0881 loss_center: 2.8815 loss_reg_x: 2.8157 loss_reg_y: 2.4075 loss: 9.1929 2022/08/25 22:40:38 - mmengine - INFO - Epoch(train) [19][100/125] lr: 9.8919e-04 eta: 1 day, 7:03:43 time: 0.5202 data_time: 0.0162 memory: 9483 loss_text: 1.1439 loss_center: 2.8480 loss_reg_x: 2.3961 loss_reg_y: 2.0811 loss: 8.4692 2022/08/25 22:40:41 - mmengine - INFO - Epoch(train) [19][105/125] lr: 9.8919e-04 eta: 1 day, 7:03:43 time: 0.5303 data_time: 0.0154 memory: 9483 loss_text: 1.1531 loss_center: 2.8545 loss_reg_x: 2.0791 loss_reg_y: 1.8918 loss: 7.9785 2022/08/25 22:40:44 - mmengine - INFO - Epoch(train) [19][110/125] lr: 9.8919e-04 eta: 1 day, 7:02:45 time: 0.5374 data_time: 0.0126 memory: 9483 loss_text: 1.1341 loss_center: 2.8775 loss_reg_x: 2.2574 loss_reg_y: 1.9618 loss: 8.2308 2022/08/25 22:40:46 - mmengine - INFO - Epoch(train) [19][115/125] lr: 9.8919e-04 eta: 1 day, 7:02:45 time: 0.5106 data_time: 0.0125 memory: 9483 loss_text: 1.1009 loss_center: 2.8909 loss_reg_x: 2.3879 loss_reg_y: 2.1339 loss: 8.5135 2022/08/25 22:40:49 - mmengine - INFO - Epoch(train) [19][120/125] lr: 9.8919e-04 eta: 1 day, 7:01:19 time: 0.5018 data_time: 0.0157 memory: 9483 loss_text: 1.0982 loss_center: 2.8856 loss_reg_x: 2.3193 loss_reg_y: 2.0850 loss: 8.3881 2022/08/25 22:40:52 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:40:52 - mmengine - INFO - Epoch(train) [19][125/125] lr: 9.8919e-04 eta: 1 day, 7:01:19 time: 0.6235 data_time: 0.0167 memory: 9483 loss_text: 1.0453 loss_center: 2.8584 loss_reg_x: 1.8394 loss_reg_y: 1.5817 loss: 7.3248 2022/08/25 22:40:56 - mmengine - INFO - Epoch(train) [20][5/125] lr: 9.8859e-04 eta: 1 day, 7:01:19 time: 0.7222 data_time: 0.0919 memory: 9483 loss_text: 0.9880 loss_center: 2.8446 loss_reg_x: 1.8269 loss_reg_y: 1.3978 loss: 7.0573 2022/08/25 22:40:58 - mmengine - INFO - Epoch(train) [20][10/125] lr: 9.8859e-04 eta: 1 day, 6:57:33 time: 0.6245 data_time: 0.0904 memory: 9483 loss_text: 1.0821 loss_center: 2.8570 loss_reg_x: 2.2412 loss_reg_y: 1.9151 loss: 8.0955 2022/08/25 22:41:01 - mmengine - INFO - Epoch(train) [20][15/125] lr: 9.8859e-04 eta: 1 day, 6:57:33 time: 0.5384 data_time: 0.0186 memory: 9483 loss_text: 1.0811 loss_center: 2.8473 loss_reg_x: 2.1712 loss_reg_y: 2.0219 loss: 8.1216 2022/08/25 22:41:04 - mmengine - INFO - Epoch(train) [20][20/125] lr: 9.8859e-04 eta: 1 day, 6:56:54 time: 0.5603 data_time: 0.0192 memory: 9483 loss_text: 1.0979 loss_center: 2.8536 loss_reg_x: 2.1029 loss_reg_y: 1.9192 loss: 7.9736 2022/08/25 22:41:07 - mmengine - INFO - Epoch(train) [20][25/125] lr: 9.8859e-04 eta: 1 day, 6:56:54 time: 0.5310 data_time: 0.0129 memory: 9483 loss_text: 1.1529 loss_center: 2.8612 loss_reg_x: 2.1051 loss_reg_y: 1.7454 loss: 7.8647 2022/08/25 22:41:10 - mmengine - INFO - Epoch(train) [20][30/125] lr: 9.8859e-04 eta: 1 day, 6:56:15 time: 0.5587 data_time: 0.0121 memory: 9483 loss_text: 1.1221 loss_center: 2.8572 loss_reg_x: 2.1887 loss_reg_y: 1.6273 loss: 7.7953 2022/08/25 22:41:12 - mmengine - INFO - Epoch(train) [20][35/125] lr: 9.8859e-04 eta: 1 day, 6:56:15 time: 0.5905 data_time: 0.0226 memory: 9483 loss_text: 1.2809 loss_center: 2.8826 loss_reg_x: 2.2624 loss_reg_y: 1.9571 loss: 8.3830 2022/08/25 22:41:15 - mmengine - INFO - Epoch(train) [20][40/125] lr: 9.8859e-04 eta: 1 day, 6:55:30 time: 0.5507 data_time: 0.0231 memory: 9483 loss_text: 1.2372 loss_center: 2.8573 loss_reg_x: 2.1424 loss_reg_y: 1.8581 loss: 8.0949 2022/08/25 22:41:18 - mmengine - INFO - Epoch(train) [20][45/125] lr: 9.8859e-04 eta: 1 day, 6:55:30 time: 0.5129 data_time: 0.0122 memory: 9483 loss_text: 1.0705 loss_center: 2.8571 loss_reg_x: 2.0582 loss_reg_y: 1.7782 loss: 7.7640 2022/08/25 22:41:21 - mmengine - INFO - Epoch(train) [20][50/125] lr: 9.8859e-04 eta: 1 day, 6:54:57 time: 0.5662 data_time: 0.0118 memory: 9483 loss_text: 1.1359 loss_center: 2.8849 loss_reg_x: 2.0309 loss_reg_y: 1.6724 loss: 7.7241 2022/08/25 22:41:23 - mmengine - INFO - Epoch(train) [20][55/125] lr: 9.8859e-04 eta: 1 day, 6:54:57 time: 0.5777 data_time: 0.0219 memory: 9483 loss_text: 1.0868 loss_center: 2.8785 loss_reg_x: 2.0566 loss_reg_y: 1.7625 loss: 7.7843 2022/08/25 22:41:26 - mmengine - INFO - Epoch(train) [20][60/125] lr: 9.8859e-04 eta: 1 day, 6:53:27 time: 0.4908 data_time: 0.0216 memory: 9483 loss_text: 1.0276 loss_center: 2.8612 loss_reg_x: 1.9761 loss_reg_y: 1.9427 loss: 7.8076 2022/08/25 22:41:28 - mmengine - INFO - Epoch(train) [20][65/125] lr: 9.8859e-04 eta: 1 day, 6:53:27 time: 0.5061 data_time: 0.0120 memory: 9483 loss_text: 1.0874 loss_center: 2.8556 loss_reg_x: 2.3678 loss_reg_y: 2.0289 loss: 8.3396 2022/08/25 22:41:32 - mmengine - INFO - Epoch(train) [20][70/125] lr: 9.8859e-04 eta: 1 day, 6:53:01 time: 0.5744 data_time: 0.0149 memory: 9483 loss_text: 1.1269 loss_center: 2.8845 loss_reg_x: 2.8067 loss_reg_y: 2.3539 loss: 9.1720 2022/08/25 22:41:34 - mmengine - INFO - Epoch(train) [20][75/125] lr: 9.8859e-04 eta: 1 day, 6:53:01 time: 0.5473 data_time: 0.0210 memory: 9483 loss_text: 1.0600 loss_center: 2.8823 loss_reg_x: 2.5227 loss_reg_y: 2.0966 loss: 8.5615 2022/08/25 22:41:36 - mmengine - INFO - Epoch(train) [20][80/125] lr: 9.8859e-04 eta: 1 day, 6:51:36 time: 0.4961 data_time: 0.0190 memory: 9483 loss_text: 1.0749 loss_center: 2.8697 loss_reg_x: 2.1538 loss_reg_y: 1.9299 loss: 8.0283 2022/08/25 22:41:40 - mmengine - INFO - Epoch(train) [20][85/125] lr: 9.8859e-04 eta: 1 day, 6:51:36 time: 0.5308 data_time: 0.0126 memory: 9483 loss_text: 1.2468 loss_center: 2.8902 loss_reg_x: 2.6905 loss_reg_y: 2.3580 loss: 9.1855 2022/08/25 22:41:43 - mmengine - INFO - Epoch(train) [20][90/125] lr: 9.8859e-04 eta: 1 day, 6:51:45 time: 0.6209 data_time: 0.0753 memory: 9483 loss_text: 1.2511 loss_center: 2.9088 loss_reg_x: 2.6688 loss_reg_y: 2.1739 loss: 9.0026 2022/08/25 22:41:45 - mmengine - INFO - Epoch(train) [20][95/125] lr: 9.8859e-04 eta: 1 day, 6:51:45 time: 0.6049 data_time: 0.0783 memory: 9483 loss_text: 1.1503 loss_center: 2.8774 loss_reg_x: 2.2002 loss_reg_y: 1.6877 loss: 7.9156 2022/08/25 22:41:48 - mmengine - INFO - Epoch(train) [20][100/125] lr: 9.8859e-04 eta: 1 day, 6:50:22 time: 0.4969 data_time: 0.0155 memory: 9483 loss_text: 1.1129 loss_center: 2.8623 loss_reg_x: 2.3276 loss_reg_y: 1.8344 loss: 8.1372 2022/08/25 22:41:51 - mmengine - INFO - Epoch(train) [20][105/125] lr: 9.8859e-04 eta: 1 day, 6:50:22 time: 0.5990 data_time: 0.0326 memory: 9483 loss_text: 1.1529 loss_center: 2.8657 loss_reg_x: 2.2637 loss_reg_y: 1.8994 loss: 8.1817 2022/08/25 22:41:54 - mmengine - INFO - Epoch(train) [20][110/125] lr: 9.8859e-04 eta: 1 day, 6:50:26 time: 0.6131 data_time: 0.0320 memory: 9483 loss_text: 1.1278 loss_center: 2.8664 loss_reg_x: 2.3574 loss_reg_y: 2.0057 loss: 8.3573 2022/08/25 22:41:56 - mmengine - INFO - Epoch(train) [20][115/125] lr: 9.8859e-04 eta: 1 day, 6:50:26 time: 0.4897 data_time: 0.0138 memory: 9483 loss_text: 1.1119 loss_center: 2.8703 loss_reg_x: 2.2911 loss_reg_y: 2.1460 loss: 8.4193 2022/08/25 22:41:59 - mmengine - INFO - Epoch(train) [20][120/125] lr: 9.8859e-04 eta: 1 day, 6:49:10 time: 0.5058 data_time: 0.0152 memory: 9483 loss_text: 1.1405 loss_center: 2.8489 loss_reg_x: 2.0726 loss_reg_y: 2.0630 loss: 8.1249 2022/08/25 22:42:02 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:42:02 - mmengine - INFO - Epoch(train) [20][125/125] lr: 9.8859e-04 eta: 1 day, 6:49:10 time: 0.5677 data_time: 0.0303 memory: 9483 loss_text: 1.1185 loss_center: 2.8488 loss_reg_x: 2.0296 loss_reg_y: 1.9890 loss: 7.9859 2022/08/25 22:42:02 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/25 22:43:02 - mmengine - INFO - Epoch(val) [20][5/500] eta: 1 day, 6:49:10 time: 11.1436 data_time: 5.5917 memory: 66786 2022/08/25 22:43:05 - mmengine - INFO - Epoch(val) [20][10/500] eta: 0:48:22 time: 5.9237 data_time: 2.8105 memory: 17413 2022/08/25 22:43:19 - mmengine - INFO - Epoch(val) [20][15/500] eta: 0:48:22 time: 1.7007 data_time: 0.0156 memory: 66778 2022/08/25 22:43:34 - mmengine - INFO - Epoch(val) [20][20/500] eta: 0:23:24 time: 2.9258 data_time: 0.0021 memory: 66784 2022/08/25 22:43:35 - mmengine - INFO - Epoch(val) [20][25/500] eta: 0:23:24 time: 1.6482 data_time: 0.0021 memory: 602 2022/08/25 22:43:45 - mmengine - INFO - Epoch(val) [20][30/500] eta: 0:08:07 time: 1.0366 data_time: 0.0018 memory: 66786 2022/08/25 22:43:46 - mmengine - INFO - Epoch(val) [20][35/500] eta: 0:08:07 time: 1.0330 data_time: 0.0017 memory: 602 2022/08/25 22:43:46 - mmengine - INFO - Epoch(val) [20][40/500] eta: 0:00:54 time: 0.1177 data_time: 0.0017 memory: 602 2022/08/25 22:43:49 - mmengine - INFO - Epoch(val) [20][45/500] eta: 0:00:54 time: 0.3231 data_time: 0.0032 memory: 17401 2022/08/25 22:44:04 - mmengine - INFO - Epoch(val) [20][50/500] eta: 0:13:18 time: 1.7735 data_time: 0.0032 memory: 66780 2022/08/25 22:44:14 - mmengine - INFO - Epoch(val) [20][55/500] eta: 0:13:18 time: 2.5206 data_time: 0.0021 memory: 66778 2022/08/25 22:44:15 - mmengine - INFO - Epoch(val) [20][60/500] eta: 0:07:58 time: 1.0864 data_time: 0.0020 memory: 602 2022/08/25 22:44:24 - mmengine - INFO - Epoch(val) [20][65/500] eta: 0:07:58 time: 1.0266 data_time: 0.0017 memory: 66772 2022/08/25 22:44:25 - mmengine - INFO - Epoch(val) [20][70/500] eta: 0:07:16 time: 1.0143 data_time: 0.0016 memory: 602 2022/08/25 22:44:38 - mmengine - INFO - Epoch(val) [20][75/500] eta: 0:07:16 time: 1.3308 data_time: 0.0017 memory: 66776 2022/08/25 22:44:38 - mmengine - INFO - Epoch(val) [20][80/500] eta: 0:09:14 time: 1.3208 data_time: 0.0025 memory: 602 2022/08/25 22:44:58 - mmengine - INFO - Epoch(val) [20][85/500] eta: 0:09:14 time: 2.0638 data_time: 0.0025 memory: 66784 2022/08/25 22:45:02 - mmengine - INFO - Epoch(val) [20][90/500] eta: 0:16:32 time: 2.4218 data_time: 0.0075 memory: 17405 2022/08/25 22:45:33 - mmengine - INFO - Epoch(val) [20][95/500] eta: 0:16:32 time: 3.5042 data_time: 0.0076 memory: 66782 2022/08/25 22:45:34 - mmengine - INFO - Epoch(val) [20][100/500] eta: 0:21:01 time: 3.1546 data_time: 0.0069 memory: 602 2022/08/25 22:45:34 - mmengine - INFO - Epoch(val) [20][105/500] eta: 0:21:01 time: 0.1098 data_time: 0.0068 memory: 602 2022/08/25 22:45:37 - mmengine - INFO - Epoch(val) [20][110/500] eta: 0:02:06 time: 0.3250 data_time: 0.0017 memory: 17405 2022/08/25 22:45:38 - mmengine - INFO - Epoch(val) [20][115/500] eta: 0:02:06 time: 0.3234 data_time: 0.0018 memory: 602 2022/08/25 22:45:38 - mmengine - INFO - Epoch(val) [20][120/500] eta: 0:00:50 time: 0.1328 data_time: 0.0018 memory: 602 2022/08/25 22:45:39 - mmengine - INFO - Epoch(val) [20][125/500] eta: 0:00:50 time: 0.1660 data_time: 0.0017 memory: 602 2022/08/25 22:45:43 - mmengine - INFO - Epoch(val) [20][130/500] eta: 0:02:58 time: 0.4815 data_time: 0.1537 memory: 602 2022/08/25 22:45:44 - mmengine - INFO - Epoch(val) [20][135/500] eta: 0:02:58 time: 0.4544 data_time: 0.1537 memory: 602 2022/08/25 22:45:45 - mmengine - INFO - Epoch(val) [20][140/500] eta: 0:00:49 time: 0.1387 data_time: 0.0018 memory: 587 2022/08/25 22:45:57 - mmengine - INFO - Epoch(val) [20][145/500] eta: 0:00:49 time: 1.3603 data_time: 0.0155 memory: 66766 2022/08/25 22:45:58 - mmengine - INFO - Epoch(val) [20][150/500] eta: 0:07:52 time: 1.3493 data_time: 0.0256 memory: 587 2022/08/25 22:46:05 - mmengine - INFO - Epoch(val) [20][155/500] eta: 0:07:52 time: 0.7620 data_time: 0.0118 memory: 17410 2022/08/25 22:46:05 - mmengine - INFO - Epoch(val) [20][160/500] eta: 0:04:14 time: 0.7472 data_time: 0.0056 memory: 602 2022/08/25 22:46:06 - mmengine - INFO - Epoch(val) [20][165/500] eta: 0:04:14 time: 0.1128 data_time: 0.0058 memory: 602 2022/08/25 22:46:09 - mmengine - INFO - Epoch(val) [20][170/500] eta: 0:01:54 time: 0.3481 data_time: 0.0021 memory: 17404 2022/08/25 22:46:09 - mmengine - INFO - Epoch(val) [20][175/500] eta: 0:01:54 time: 0.3239 data_time: 0.0020 memory: 602 2022/08/25 22:46:10 - mmengine - INFO - Epoch(val) [20][180/500] eta: 0:00:34 time: 0.1075 data_time: 0.0050 memory: 602 2022/08/25 22:46:11 - mmengine - INFO - Epoch(val) [20][185/500] eta: 0:00:34 time: 0.1212 data_time: 0.0051 memory: 602 2022/08/25 22:46:17 - mmengine - INFO - Epoch(val) [20][190/500] eta: 0:03:25 time: 0.6621 data_time: 0.0019 memory: 17411 2022/08/25 22:46:17 - mmengine - INFO - Epoch(val) [20][195/500] eta: 0:03:25 time: 0.6609 data_time: 0.0019 memory: 602 2022/08/25 22:46:18 - mmengine - INFO - Epoch(val) [20][200/500] eta: 0:00:32 time: 0.1081 data_time: 0.0017 memory: 602 2022/08/25 22:46:18 - mmengine - INFO - Epoch(val) [20][205/500] eta: 0:00:32 time: 0.1161 data_time: 0.0016 memory: 602 2022/08/25 22:46:19 - mmengine - INFO - Epoch(val) [20][210/500] eta: 0:00:33 time: 0.1167 data_time: 0.0017 memory: 602 2022/08/25 22:46:20 - mmengine - INFO - Epoch(val) [20][215/500] eta: 0:00:33 time: 0.2135 data_time: 0.0016 memory: 602 2022/08/25 22:46:32 - mmengine - INFO - Epoch(val) [20][220/500] eta: 0:05:59 time: 1.2842 data_time: 0.0654 memory: 66774 2022/08/25 22:46:32 - mmengine - INFO - Epoch(val) [20][225/500] eta: 0:05:59 time: 1.1832 data_time: 0.0658 memory: 602 2022/08/25 22:46:34 - mmengine - INFO - Epoch(val) [20][230/500] eta: 0:00:50 time: 0.1860 data_time: 0.0116 memory: 602 2022/08/25 22:46:39 - mmengine - INFO - Epoch(val) [20][235/500] eta: 0:00:50 time: 0.6310 data_time: 0.0114 memory: 33665 2022/08/25 22:46:39 - mmengine - INFO - Epoch(val) [20][240/500] eta: 0:02:23 time: 0.5521 data_time: 0.0017 memory: 602 2022/08/25 22:46:42 - mmengine - INFO - Epoch(val) [20][245/500] eta: 0:02:23 time: 0.3391 data_time: 0.0213 memory: 597 2022/08/25 22:46:42 - mmengine - INFO - Epoch(val) [20][250/500] eta: 0:01:24 time: 0.3361 data_time: 0.0215 memory: 602 2022/08/25 22:46:44 - mmengine - INFO - Epoch(val) [20][255/500] eta: 0:01:24 time: 0.2264 data_time: 0.0044 memory: 602 2022/08/25 22:46:45 - mmengine - INFO - Epoch(val) [20][260/500] eta: 0:00:53 time: 0.2224 data_time: 0.0043 memory: 602 2022/08/25 22:46:58 - mmengine - INFO - Epoch(val) [20][265/500] eta: 0:00:53 time: 1.3971 data_time: 0.0345 memory: 66770 2022/08/25 22:46:59 - mmengine - INFO - Epoch(val) [20][270/500] eta: 0:05:24 time: 1.4120 data_time: 0.0346 memory: 602 2022/08/25 22:47:01 - mmengine - INFO - Epoch(val) [20][275/500] eta: 0:05:24 time: 0.2840 data_time: 0.0181 memory: 602 2022/08/25 22:47:01 - mmengine - INFO - Epoch(val) [20][280/500] eta: 0:00:58 time: 0.2640 data_time: 0.0182 memory: 592 2022/08/25 22:47:02 - mmengine - INFO - Epoch(val) [20][285/500] eta: 0:00:58 time: 0.0874 data_time: 0.0027 memory: 597 2022/08/25 22:47:05 - mmengine - INFO - Epoch(val) [20][290/500] eta: 0:01:09 time: 0.3332 data_time: 0.0024 memory: 17407 2022/08/25 22:47:05 - mmengine - INFO - Epoch(val) [20][295/500] eta: 0:01:09 time: 0.3419 data_time: 0.0018 memory: 602 2022/08/25 22:47:06 - mmengine - INFO - Epoch(val) [20][300/500] eta: 0:00:25 time: 0.1268 data_time: 0.0223 memory: 602 2022/08/25 22:47:06 - mmengine - INFO - Epoch(val) [20][305/500] eta: 0:00:25 time: 0.1067 data_time: 0.0221 memory: 602 2022/08/25 22:47:07 - mmengine - INFO - Epoch(val) [20][310/500] eta: 0:00:14 time: 0.0786 data_time: 0.0015 memory: 602 2022/08/25 22:47:07 - mmengine - INFO - Epoch(val) [20][315/500] eta: 0:00:14 time: 0.1071 data_time: 0.0017 memory: 602 2022/08/25 22:47:08 - mmengine - INFO - Epoch(val) [20][320/500] eta: 0:00:21 time: 0.1190 data_time: 0.0017 memory: 602 2022/08/25 22:47:09 - mmengine - INFO - Epoch(val) [20][325/500] eta: 0:00:21 time: 0.1067 data_time: 0.0016 memory: 602 2022/08/25 22:47:09 - mmengine - INFO - Epoch(val) [20][330/500] eta: 0:00:18 time: 0.1103 data_time: 0.0015 memory: 602 2022/08/25 22:47:11 - mmengine - INFO - Epoch(val) [20][335/500] eta: 0:00:18 time: 0.1999 data_time: 0.0016 memory: 602 2022/08/25 22:47:11 - mmengine - INFO - Epoch(val) [20][340/500] eta: 0:00:35 time: 0.2240 data_time: 0.0039 memory: 602 2022/08/25 22:47:12 - mmengine - INFO - Epoch(val) [20][345/500] eta: 0:00:35 time: 0.1380 data_time: 0.0040 memory: 602 2022/08/25 22:47:22 - mmengine - INFO - Epoch(val) [20][350/500] eta: 0:02:34 time: 1.0305 data_time: 0.0019 memory: 66785 2022/08/25 22:47:23 - mmengine - INFO - Epoch(val) [20][355/500] eta: 0:02:34 time: 1.0652 data_time: 0.0018 memory: 594 2022/08/25 22:47:24 - mmengine - INFO - Epoch(val) [20][360/500] eta: 0:00:26 time: 0.1928 data_time: 0.0183 memory: 602 2022/08/25 22:47:33 - mmengine - INFO - Epoch(val) [20][365/500] eta: 0:00:26 time: 1.0568 data_time: 0.0185 memory: 66766 2022/08/25 22:47:37 - mmengine - INFO - Epoch(val) [20][370/500] eta: 0:02:49 time: 1.3040 data_time: 0.0019 memory: 17408 2022/08/25 22:47:37 - mmengine - INFO - Epoch(val) [20][375/500] eta: 0:02:49 time: 0.3957 data_time: 0.0069 memory: 587 2022/08/25 22:47:38 - mmengine - INFO - Epoch(val) [20][380/500] eta: 0:00:14 time: 0.1198 data_time: 0.0068 memory: 602 2022/08/25 22:47:38 - mmengine - INFO - Epoch(val) [20][385/500] eta: 0:00:14 time: 0.1153 data_time: 0.0017 memory: 602 2022/08/25 22:47:39 - mmengine - INFO - Epoch(val) [20][390/500] eta: 0:00:11 time: 0.1036 data_time: 0.0016 memory: 602 2022/08/25 22:47:41 - mmengine - INFO - Epoch(val) [20][395/500] eta: 0:00:11 time: 0.3122 data_time: 0.0057 memory: 602 2022/08/25 22:47:42 - mmengine - INFO - Epoch(val) [20][400/500] eta: 0:00:31 time: 0.3197 data_time: 0.0074 memory: 602 2022/08/25 22:47:43 - mmengine - INFO - Epoch(val) [20][405/500] eta: 0:00:31 time: 0.1124 data_time: 0.0032 memory: 602 2022/08/25 22:47:43 - mmengine - INFO - Epoch(val) [20][410/500] eta: 0:00:08 time: 0.0956 data_time: 0.0016 memory: 602 2022/08/25 22:47:44 - mmengine - INFO - Epoch(val) [20][415/500] eta: 0:00:08 time: 0.1341 data_time: 0.0016 memory: 602 2022/08/25 22:47:45 - mmengine - INFO - Epoch(val) [20][420/500] eta: 0:00:11 time: 0.1487 data_time: 0.0017 memory: 602 2022/08/25 22:47:45 - mmengine - INFO - Epoch(val) [20][425/500] eta: 0:00:11 time: 0.1612 data_time: 0.0043 memory: 602 2022/08/25 22:47:46 - mmengine - INFO - Epoch(val) [20][430/500] eta: 0:00:10 time: 0.1448 data_time: 0.0052 memory: 602 2022/08/25 22:47:47 - mmengine - INFO - Epoch(val) [20][435/500] eta: 0:00:10 time: 0.1133 data_time: 0.0027 memory: 597 2022/08/25 22:47:47 - mmengine - INFO - Epoch(val) [20][440/500] eta: 0:00:08 time: 0.1360 data_time: 0.0016 memory: 602 2022/08/25 22:47:48 - mmengine - INFO - Epoch(val) [20][445/500] eta: 0:00:08 time: 0.1192 data_time: 0.0016 memory: 602 2022/08/25 22:47:48 - mmengine - INFO - Epoch(val) [20][450/500] eta: 0:00:04 time: 0.0873 data_time: 0.0015 memory: 602 2022/08/25 22:47:50 - mmengine - INFO - Epoch(val) [20][455/500] eta: 0:00:04 time: 0.2136 data_time: 0.0016 memory: 602 2022/08/25 22:47:51 - mmengine - INFO - Epoch(val) [20][460/500] eta: 0:00:09 time: 0.2301 data_time: 0.0016 memory: 597 2022/08/25 22:47:51 - mmengine - INFO - Epoch(val) [20][465/500] eta: 0:00:09 time: 0.1246 data_time: 0.0018 memory: 602 2022/08/25 22:47:52 - mmengine - INFO - Epoch(val) [20][470/500] eta: 0:00:03 time: 0.1175 data_time: 0.0019 memory: 602 2022/08/25 22:47:52 - mmengine - INFO - Epoch(val) [20][475/500] eta: 0:00:03 time: 0.0992 data_time: 0.0016 memory: 602 2022/08/25 22:47:53 - mmengine - INFO - Epoch(val) [20][480/500] eta: 0:00:01 time: 0.0922 data_time: 0.0016 memory: 587 2022/08/25 22:47:53 - mmengine - INFO - Epoch(val) [20][485/500] eta: 0:00:01 time: 0.0913 data_time: 0.0015 memory: 602 2022/08/25 22:47:54 - mmengine - INFO - Epoch(val) [20][490/500] eta: 0:00:00 time: 0.0962 data_time: 0.0015 memory: 602 2022/08/25 22:47:54 - mmengine - INFO - Epoch(val) [20][495/500] eta: 0:00:00 time: 0.1079 data_time: 0.0016 memory: 587 2022/08/25 22:47:55 - mmengine - INFO - Epoch(val) [20][500/500] eta: 0:00:00 time: 0.1065 data_time: 0.0016 memory: 587 2022/08/25 22:47:55 - mmengine - INFO - Evaluating hmean-iou... 2022/08/25 22:47:55 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7213, precision: 0.6258, hmean: 0.6702 2022/08/25 22:47:55 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7154, precision: 0.6661, hmean: 0.6899 2022/08/25 22:47:55 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7063, precision: 0.7016, hmean: 0.7039 2022/08/25 22:47:55 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.6914, precision: 0.7283, hmean: 0.7094 2022/08/25 22:47:55 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6774, precision: 0.7594, hmean: 0.7161 2022/08/25 22:47:55 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.6481, precision: 0.7969, hmean: 0.7148 2022/08/25 22:47:55 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.5216, precision: 0.8429, hmean: 0.6444 2022/08/25 22:47:55 - mmengine - INFO - Epoch(val) [20][500/500] icdar/precision: 0.7594 icdar/recall: 0.6774 icdar/hmean: 0.7161 2022/08/25 22:47:58 - mmengine - INFO - Epoch(train) [21][5/125] lr: 9.8799e-04 eta: 0:00:00 time: 0.6248 data_time: 0.1016 memory: 9483 loss_text: 1.1218 loss_center: 2.8602 loss_reg_x: 2.2340 loss_reg_y: 2.0938 loss: 8.3099 2022/08/25 22:48:01 - mmengine - INFO - Epoch(train) [21][10/125] lr: 9.8799e-04 eta: 1 day, 6:45:54 time: 0.6465 data_time: 0.0857 memory: 9483 loss_text: 1.0064 loss_center: 2.8614 loss_reg_x: 2.1257 loss_reg_y: 1.9571 loss: 7.9507 2022/08/25 22:48:04 - mmengine - INFO - Epoch(train) [21][15/125] lr: 9.8799e-04 eta: 1 day, 6:45:54 time: 0.5713 data_time: 0.0132 memory: 9483 loss_text: 0.9154 loss_center: 2.8439 loss_reg_x: 1.8923 loss_reg_y: 1.6185 loss: 7.2702 2022/08/25 22:48:06 - mmengine - INFO - Epoch(train) [21][20/125] lr: 9.8799e-04 eta: 1 day, 6:44:48 time: 0.5167 data_time: 0.0123 memory: 9483 loss_text: 0.9288 loss_center: 2.8449 loss_reg_x: 1.9217 loss_reg_y: 1.6356 loss: 7.3310 2022/08/25 22:48:09 - mmengine - INFO - Epoch(train) [21][25/125] lr: 9.8799e-04 eta: 1 day, 6:44:48 time: 0.5208 data_time: 0.0164 memory: 9483 loss_text: 1.1069 loss_center: 2.8750 loss_reg_x: 1.9456 loss_reg_y: 1.6515 loss: 7.5790 2022/08/25 22:48:12 - mmengine - INFO - Epoch(train) [21][30/125] lr: 9.8799e-04 eta: 1 day, 6:44:26 time: 0.5758 data_time: 0.0171 memory: 9483 loss_text: 1.2634 loss_center: 2.8896 loss_reg_x: 2.0388 loss_reg_y: 1.7919 loss: 7.9837 2022/08/25 22:48:15 - mmengine - INFO - Epoch(train) [21][35/125] lr: 9.8799e-04 eta: 1 day, 6:44:26 time: 0.5782 data_time: 0.0136 memory: 9483 loss_text: 1.1726 loss_center: 2.9029 loss_reg_x: 2.0077 loss_reg_y: 2.0413 loss: 8.1246 2022/08/25 22:48:17 - mmengine - INFO - Epoch(train) [21][40/125] lr: 9.8799e-04 eta: 1 day, 6:43:13 time: 0.5064 data_time: 0.0127 memory: 9483 loss_text: 1.1659 loss_center: 2.8808 loss_reg_x: 2.1217 loss_reg_y: 2.1491 loss: 8.3175 2022/08/25 22:48:21 - mmengine - INFO - Epoch(train) [21][45/125] lr: 9.8799e-04 eta: 1 day, 6:43:13 time: 0.5744 data_time: 0.0156 memory: 9483 loss_text: 1.1973 loss_center: 2.8579 loss_reg_x: 2.2533 loss_reg_y: 2.0633 loss: 8.3718 2022/08/25 22:48:23 - mmengine - INFO - Epoch(train) [21][50/125] lr: 9.8799e-04 eta: 1 day, 6:43:08 time: 0.5991 data_time: 0.0217 memory: 9483 loss_text: 1.1109 loss_center: 2.8535 loss_reg_x: 2.2424 loss_reg_y: 1.9411 loss: 8.1480 2022/08/25 22:48:26 - mmengine - INFO - Epoch(train) [21][55/125] lr: 9.8799e-04 eta: 1 day, 6:43:08 time: 0.5155 data_time: 0.0183 memory: 9483 loss_text: 1.0728 loss_center: 2.8579 loss_reg_x: 2.2612 loss_reg_y: 2.0461 loss: 8.2381 2022/08/25 22:48:28 - mmengine - INFO - Epoch(train) [21][60/125] lr: 9.8799e-04 eta: 1 day, 6:41:42 time: 0.4880 data_time: 0.0121 memory: 9483 loss_text: 1.1216 loss_center: 2.8737 loss_reg_x: 2.1744 loss_reg_y: 1.9269 loss: 8.0966 2022/08/25 22:48:34 - mmengine - INFO - Epoch(train) [21][65/125] lr: 9.8799e-04 eta: 1 day, 6:41:42 time: 0.8380 data_time: 0.0158 memory: 9483 loss_text: 1.1676 loss_center: 2.8615 loss_reg_x: 2.1604 loss_reg_y: 1.8870 loss: 8.0765 2022/08/25 22:48:37 - mmengine - INFO - Epoch(train) [21][70/125] lr: 9.8799e-04 eta: 1 day, 6:44:38 time: 0.8495 data_time: 0.0200 memory: 9483 loss_text: 1.1551 loss_center: 2.8551 loss_reg_x: 2.2493 loss_reg_y: 1.9600 loss: 8.2195 2022/08/25 22:48:39 - mmengine - INFO - Epoch(train) [21][75/125] lr: 9.8799e-04 eta: 1 day, 6:44:38 time: 0.5070 data_time: 0.0173 memory: 9483 loss_text: 1.1748 loss_center: 2.8756 loss_reg_x: 2.4305 loss_reg_y: 1.8386 loss: 8.3195 2022/08/25 22:48:42 - mmengine - INFO - Epoch(train) [21][80/125] lr: 9.8799e-04 eta: 1 day, 6:44:23 time: 0.5869 data_time: 0.0336 memory: 9483 loss_text: 1.1863 loss_center: 2.8877 loss_reg_x: 2.2199 loss_reg_y: 1.7341 loss: 8.0280 2022/08/25 22:48:45 - mmengine - INFO - Epoch(train) [21][85/125] lr: 9.8799e-04 eta: 1 day, 6:44:23 time: 0.5738 data_time: 0.0325 memory: 9483 loss_text: 1.0765 loss_center: 2.8724 loss_reg_x: 1.9808 loss_reg_y: 1.7125 loss: 7.6422 2022/08/25 22:48:47 - mmengine - INFO - Epoch(train) [21][90/125] lr: 9.8799e-04 eta: 1 day, 6:42:52 time: 0.4796 data_time: 0.0137 memory: 9483 loss_text: 1.0337 loss_center: 2.8584 loss_reg_x: 2.0976 loss_reg_y: 1.8732 loss: 7.8629 2022/08/25 22:48:54 - mmengine - INFO - Epoch(train) [21][95/125] lr: 9.8799e-04 eta: 1 day, 6:42:52 time: 0.8653 data_time: 0.0137 memory: 9483 loss_text: 1.1001 loss_center: 2.8685 loss_reg_x: 2.1182 loss_reg_y: 1.7481 loss: 7.8348 2022/08/25 22:48:56 - mmengine - INFO - Epoch(train) [21][100/125] lr: 9.8799e-04 eta: 1 day, 6:46:25 time: 0.9052 data_time: 0.0194 memory: 9483 loss_text: 1.1065 loss_center: 2.8837 loss_reg_x: 2.2784 loss_reg_y: 1.7741 loss: 8.0427 2022/08/25 22:48:59 - mmengine - INFO - Epoch(train) [21][105/125] lr: 9.8799e-04 eta: 1 day, 6:46:25 time: 0.5208 data_time: 0.0202 memory: 9483 loss_text: 1.1012 loss_center: 2.8808 loss_reg_x: 2.3643 loss_reg_y: 2.0279 loss: 8.3742 2022/08/25 22:49:02 - mmengine - INFO - Epoch(train) [21][110/125] lr: 9.8799e-04 eta: 1 day, 6:45:59 time: 0.5707 data_time: 0.0131 memory: 9483 loss_text: 1.0652 loss_center: 2.8535 loss_reg_x: 2.2282 loss_reg_y: 1.8531 loss: 8.0000 2022/08/25 22:49:04 - mmengine - INFO - Epoch(train) [21][115/125] lr: 9.8799e-04 eta: 1 day, 6:45:59 time: 0.5721 data_time: 0.0128 memory: 9483 loss_text: 1.0291 loss_center: 2.8183 loss_reg_x: 2.2606 loss_reg_y: 1.6933 loss: 7.8014 2022/08/25 22:49:07 - mmengine - INFO - Epoch(train) [21][120/125] lr: 9.8799e-04 eta: 1 day, 6:44:34 time: 0.4873 data_time: 0.0146 memory: 9483 loss_text: 1.1344 loss_center: 2.8505 loss_reg_x: 2.5951 loss_reg_y: 2.1086 loss: 8.6886 2022/08/25 22:49:10 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:49:10 - mmengine - INFO - Epoch(train) [21][125/125] lr: 9.8799e-04 eta: 1 day, 6:44:34 time: 0.5150 data_time: 0.0149 memory: 9483 loss_text: 1.2222 loss_center: 2.8901 loss_reg_x: 2.6924 loss_reg_y: 2.5366 loss: 9.3412 2022/08/25 22:49:13 - mmengine - INFO - Epoch(train) [22][5/125] lr: 9.8738e-04 eta: 1 day, 6:44:34 time: 0.6479 data_time: 0.1319 memory: 9483 loss_text: 1.2090 loss_center: 2.8810 loss_reg_x: 2.3495 loss_reg_y: 2.6166 loss: 9.0561 2022/08/25 22:49:16 - mmengine - INFO - Epoch(train) [22][10/125] lr: 9.8738e-04 eta: 1 day, 6:41:03 time: 0.6105 data_time: 0.1300 memory: 9483 loss_text: 1.1477 loss_center: 2.8759 loss_reg_x: 2.0409 loss_reg_y: 2.2840 loss: 8.3484 2022/08/25 22:49:18 - mmengine - INFO - Epoch(train) [22][15/125] lr: 9.8738e-04 eta: 1 day, 6:41:03 time: 0.4910 data_time: 0.0140 memory: 9483 loss_text: 1.0849 loss_center: 2.8642 loss_reg_x: 2.2267 loss_reg_y: 2.2825 loss: 8.4583 2022/08/25 22:49:23 - mmengine - INFO - Epoch(train) [22][20/125] lr: 9.8738e-04 eta: 1 day, 6:42:12 time: 0.7040 data_time: 0.0158 memory: 9483 loss_text: 1.0201 loss_center: 2.8016 loss_reg_x: 2.2897 loss_reg_y: 2.2559 loss: 8.3673 2022/08/25 22:49:25 - mmengine - INFO - Epoch(train) [22][25/125] lr: 9.8738e-04 eta: 1 day, 6:42:12 time: 0.6843 data_time: 0.0132 memory: 9483 loss_text: 1.0715 loss_center: 2.8174 loss_reg_x: 2.2651 loss_reg_y: 2.0021 loss: 8.1561 2022/08/25 22:49:28 - mmengine - INFO - Epoch(train) [22][30/125] lr: 9.8738e-04 eta: 1 day, 6:40:40 time: 0.4753 data_time: 0.0165 memory: 9483 loss_text: 1.0745 loss_center: 2.8772 loss_reg_x: 2.1382 loss_reg_y: 1.8327 loss: 7.9225 2022/08/25 22:49:31 - mmengine - INFO - Epoch(train) [22][35/125] lr: 9.8738e-04 eta: 1 day, 6:40:40 time: 0.5324 data_time: 0.0384 memory: 9483 loss_text: 1.1746 loss_center: 2.8876 loss_reg_x: 2.1427 loss_reg_y: 1.8448 loss: 8.0498 2022/08/25 22:49:33 - mmengine - INFO - Epoch(train) [22][40/125] lr: 9.8738e-04 eta: 1 day, 6:40:20 time: 0.5771 data_time: 0.0384 memory: 9483 loss_text: 1.2184 loss_center: 2.8846 loss_reg_x: 2.3489 loss_reg_y: 2.0496 loss: 8.5015 2022/08/25 22:49:36 - mmengine - INFO - Epoch(train) [22][45/125] lr: 9.8738e-04 eta: 1 day, 6:40:20 time: 0.5178 data_time: 0.0160 memory: 9483 loss_text: 1.0687 loss_center: 2.8637 loss_reg_x: 2.1447 loss_reg_y: 1.8955 loss: 7.9727 2022/08/25 22:49:38 - mmengine - INFO - Epoch(train) [22][50/125] lr: 9.8738e-04 eta: 1 day, 6:39:05 time: 0.4975 data_time: 0.0160 memory: 9483 loss_text: 1.0635 loss_center: 2.7909 loss_reg_x: 1.9175 loss_reg_y: 1.6018 loss: 7.3737 2022/08/25 22:49:42 - mmengine - INFO - Epoch(train) [22][55/125] lr: 9.8738e-04 eta: 1 day, 6:39:05 time: 0.6611 data_time: 0.0197 memory: 9483 loss_text: 1.1123 loss_center: 2.7903 loss_reg_x: 1.9837 loss_reg_y: 1.7264 loss: 7.6127 2022/08/25 22:49:45 - mmengine - INFO - Epoch(train) [22][60/125] lr: 9.8738e-04 eta: 1 day, 6:39:46 time: 0.6646 data_time: 0.0168 memory: 9483 loss_text: 1.1075 loss_center: 2.8430 loss_reg_x: 2.1677 loss_reg_y: 1.9348 loss: 8.0530 2022/08/25 22:49:47 - mmengine - INFO - Epoch(train) [22][65/125] lr: 9.8738e-04 eta: 1 day, 6:39:46 time: 0.5082 data_time: 0.0133 memory: 9483 loss_text: 1.1402 loss_center: 2.8394 loss_reg_x: 2.3808 loss_reg_y: 2.0902 loss: 8.4506 2022/08/25 22:49:51 - mmengine - INFO - Epoch(train) [22][70/125] lr: 9.8738e-04 eta: 1 day, 6:40:09 time: 0.6405 data_time: 0.0126 memory: 9483 loss_text: 1.2149 loss_center: 2.8775 loss_reg_x: 2.5152 loss_reg_y: 2.4503 loss: 9.0579 2022/08/25 22:49:54 - mmengine - INFO - Epoch(train) [22][75/125] lr: 9.8738e-04 eta: 1 day, 6:40:09 time: 0.6789 data_time: 0.0159 memory: 9483 loss_text: 1.1851 loss_center: 2.8886 loss_reg_x: 2.3478 loss_reg_y: 2.3139 loss: 8.7355 2022/08/25 22:49:57 - mmengine - INFO - Epoch(train) [22][80/125] lr: 9.8738e-04 eta: 1 day, 6:39:17 time: 0.5291 data_time: 0.0163 memory: 9483 loss_text: 1.1441 loss_center: 2.8885 loss_reg_x: 2.2771 loss_reg_y: 2.1118 loss: 8.4215 2022/08/25 22:49:59 - mmengine - INFO - Epoch(train) [22][85/125] lr: 9.8738e-04 eta: 1 day, 6:39:17 time: 0.4983 data_time: 0.0181 memory: 9483 loss_text: 1.1416 loss_center: 2.8853 loss_reg_x: 2.2170 loss_reg_y: 2.0412 loss: 8.2850 2022/08/25 22:50:03 - mmengine - INFO - Epoch(train) [22][90/125] lr: 9.8738e-04 eta: 1 day, 6:40:02 time: 0.6725 data_time: 0.0250 memory: 9483 loss_text: 1.1807 loss_center: 2.8642 loss_reg_x: 2.1161 loss_reg_y: 2.1369 loss: 8.2979 2022/08/25 22:50:06 - mmengine - INFO - Epoch(train) [22][95/125] lr: 9.8738e-04 eta: 1 day, 6:40:02 time: 0.6702 data_time: 0.0232 memory: 9483 loss_text: 1.2303 loss_center: 2.8635 loss_reg_x: 2.2217 loss_reg_y: 1.9442 loss: 8.2598 2022/08/25 22:50:09 - mmengine - INFO - Epoch(train) [22][100/125] lr: 9.8738e-04 eta: 1 day, 6:38:57 time: 0.5110 data_time: 0.0161 memory: 9483 loss_text: 1.1587 loss_center: 2.8469 loss_reg_x: 2.1848 loss_reg_y: 1.5895 loss: 7.7799 2022/08/25 22:50:11 - mmengine - INFO - Epoch(train) [22][105/125] lr: 9.8738e-04 eta: 1 day, 6:38:57 time: 0.5287 data_time: 0.0131 memory: 9483 loss_text: 1.1422 loss_center: 2.8466 loss_reg_x: 2.1568 loss_reg_y: 1.6070 loss: 7.7527 2022/08/25 22:50:14 - mmengine - INFO - Epoch(train) [22][110/125] lr: 9.8738e-04 eta: 1 day, 6:38:30 time: 0.5651 data_time: 0.0152 memory: 9483 loss_text: 1.1455 loss_center: 2.8567 loss_reg_x: 2.1768 loss_reg_y: 1.5942 loss: 7.7732 2022/08/25 22:50:16 - mmengine - INFO - Epoch(train) [22][115/125] lr: 9.8738e-04 eta: 1 day, 6:38:30 time: 0.5309 data_time: 0.0182 memory: 9483 loss_text: 1.0843 loss_center: 2.8506 loss_reg_x: 2.0511 loss_reg_y: 1.6491 loss: 7.6351 2022/08/25 22:50:19 - mmengine - INFO - Epoch(train) [22][120/125] lr: 9.8738e-04 eta: 1 day, 6:37:08 time: 0.4844 data_time: 0.0166 memory: 9483 loss_text: 1.1180 loss_center: 2.8721 loss_reg_x: 2.0285 loss_reg_y: 1.9106 loss: 7.9293 2022/08/25 22:50:22 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:50:22 - mmengine - INFO - Epoch(train) [22][125/125] lr: 9.8738e-04 eta: 1 day, 6:37:08 time: 0.5471 data_time: 0.0138 memory: 9483 loss_text: 1.1030 loss_center: 2.8626 loss_reg_x: 2.0054 loss_reg_y: 1.9330 loss: 7.9040 2022/08/25 22:50:25 - mmengine - INFO - Epoch(train) [23][5/125] lr: 9.8678e-04 eta: 1 day, 6:37:08 time: 0.6328 data_time: 0.0851 memory: 9483 loss_text: 1.1062 loss_center: 2.8441 loss_reg_x: 1.9276 loss_reg_y: 1.8278 loss: 7.7056 2022/08/25 22:50:28 - mmengine - INFO - Epoch(train) [23][10/125] lr: 9.8678e-04 eta: 1 day, 6:33:49 time: 0.6114 data_time: 0.0862 memory: 9483 loss_text: 1.0877 loss_center: 2.8452 loss_reg_x: 1.9287 loss_reg_y: 1.8024 loss: 7.6641 2022/08/25 22:50:33 - mmengine - INFO - Epoch(train) [23][15/125] lr: 9.8678e-04 eta: 1 day, 6:33:49 time: 0.7467 data_time: 0.0156 memory: 9483 loss_text: 1.0125 loss_center: 2.8412 loss_reg_x: 2.1103 loss_reg_y: 1.7315 loss: 7.6955 2022/08/25 22:50:35 - mmengine - INFO - Epoch(train) [23][20/125] lr: 9.8678e-04 eta: 1 day, 6:35:09 time: 0.7247 data_time: 0.0150 memory: 9483 loss_text: 1.0890 loss_center: 2.8653 loss_reg_x: 2.2734 loss_reg_y: 1.8934 loss: 8.1211 2022/08/25 22:50:38 - mmengine - INFO - Epoch(train) [23][25/125] lr: 9.8678e-04 eta: 1 day, 6:35:09 time: 0.4840 data_time: 0.0129 memory: 9483 loss_text: 1.1262 loss_center: 2.8838 loss_reg_x: 2.1394 loss_reg_y: 2.0078 loss: 8.1572 2022/08/25 22:50:41 - mmengine - INFO - Epoch(train) [23][30/125] lr: 9.8678e-04 eta: 1 day, 6:34:17 time: 0.5259 data_time: 0.0135 memory: 9483 loss_text: 1.0182 loss_center: 2.8755 loss_reg_x: 1.8500 loss_reg_y: 1.7192 loss: 7.4629 2022/08/25 22:50:43 - mmengine - INFO - Epoch(train) [23][35/125] lr: 9.8678e-04 eta: 1 day, 6:34:17 time: 0.5430 data_time: 0.0204 memory: 9483 loss_text: 1.0358 loss_center: 2.8693 loss_reg_x: 1.6660 loss_reg_y: 1.5076 loss: 7.0787 2022/08/25 22:50:45 - mmengine - INFO - Epoch(train) [23][40/125] lr: 9.8678e-04 eta: 1 day, 6:32:58 time: 0.4859 data_time: 0.0185 memory: 9483 loss_text: 1.1774 loss_center: 2.8763 loss_reg_x: 2.0225 loss_reg_y: 1.8603 loss: 7.9364 2022/08/25 22:50:48 - mmengine - INFO - Epoch(train) [23][45/125] lr: 9.8678e-04 eta: 1 day, 6:32:58 time: 0.4850 data_time: 0.0127 memory: 9483 loss_text: 1.2295 loss_center: 2.8707 loss_reg_x: 2.3730 loss_reg_y: 2.0941 loss: 8.5673 2022/08/25 22:50:53 - mmengine - INFO - Epoch(train) [23][50/125] lr: 9.8678e-04 eta: 1 day, 6:34:09 time: 0.7113 data_time: 0.0148 memory: 9483 loss_text: 1.1012 loss_center: 2.8540 loss_reg_x: 1.9296 loss_reg_y: 1.7848 loss: 7.6696 2022/08/25 22:50:55 - mmengine - INFO - Epoch(train) [23][55/125] lr: 9.8678e-04 eta: 1 day, 6:34:09 time: 0.7118 data_time: 0.0187 memory: 9483 loss_text: 1.0100 loss_center: 2.8615 loss_reg_x: 1.8149 loss_reg_y: 1.7615 loss: 7.4479 2022/08/25 22:50:58 - mmengine - INFO - Epoch(train) [23][60/125] lr: 9.8678e-04 eta: 1 day, 6:32:59 time: 0.4989 data_time: 0.0167 memory: 9483 loss_text: 1.1381 loss_center: 2.8935 loss_reg_x: 2.2517 loss_reg_y: 1.9519 loss: 8.2352 2022/08/25 22:51:01 - mmengine - INFO - Epoch(train) [23][65/125] lr: 9.8678e-04 eta: 1 day, 6:32:59 time: 0.6136 data_time: 0.0120 memory: 9483 loss_text: 1.2082 loss_center: 2.8758 loss_reg_x: 2.2034 loss_reg_y: 1.9086 loss: 8.1961 2022/08/25 22:51:04 - mmengine - INFO - Epoch(train) [23][70/125] lr: 9.8678e-04 eta: 1 day, 6:33:04 time: 0.6127 data_time: 0.0232 memory: 9483 loss_text: 1.1259 loss_center: 2.8443 loss_reg_x: 2.1366 loss_reg_y: 2.0454 loss: 8.1522 2022/08/25 22:51:07 - mmengine - INFO - Epoch(train) [23][75/125] lr: 9.8678e-04 eta: 1 day, 6:33:04 time: 0.5320 data_time: 0.0242 memory: 9483 loss_text: 0.9990 loss_center: 2.8209 loss_reg_x: 1.9005 loss_reg_y: 1.8113 loss: 7.5317 2022/08/25 22:51:09 - mmengine - INFO - Epoch(train) [23][80/125] lr: 9.8678e-04 eta: 1 day, 6:32:30 time: 0.5514 data_time: 0.0129 memory: 9483 loss_text: 0.9012 loss_center: 2.8194 loss_reg_x: 1.7617 loss_reg_y: 1.7157 loss: 7.1980 2022/08/25 22:51:12 - mmengine - INFO - Epoch(train) [23][85/125] lr: 9.8678e-04 eta: 1 day, 6:32:30 time: 0.5796 data_time: 0.0136 memory: 9483 loss_text: 0.9822 loss_center: 2.8481 loss_reg_x: 2.0620 loss_reg_y: 1.8342 loss: 7.7264 2022/08/25 22:51:15 - mmengine - INFO - Epoch(train) [23][90/125] lr: 9.8678e-04 eta: 1 day, 6:31:51 time: 0.5460 data_time: 0.0158 memory: 9483 loss_text: 1.0840 loss_center: 2.8595 loss_reg_x: 2.1651 loss_reg_y: 1.8397 loss: 7.9484 2022/08/25 22:51:17 - mmengine - INFO - Epoch(train) [23][95/125] lr: 9.8678e-04 eta: 1 day, 6:31:51 time: 0.5168 data_time: 0.0146 memory: 9483 loss_text: 1.0203 loss_center: 2.8567 loss_reg_x: 2.0578 loss_reg_y: 1.6870 loss: 7.6219 2022/08/25 22:51:20 - mmengine - INFO - Epoch(train) [23][100/125] lr: 9.8678e-04 eta: 1 day, 6:31:07 time: 0.5352 data_time: 0.0126 memory: 9483 loss_text: 0.9808 loss_center: 2.8499 loss_reg_x: 1.7501 loss_reg_y: 1.3979 loss: 6.9787 2022/08/25 22:51:23 - mmengine - INFO - Epoch(train) [23][105/125] lr: 9.8678e-04 eta: 1 day, 6:31:07 time: 0.5183 data_time: 0.0342 memory: 9483 loss_text: 1.0321 loss_center: 2.8029 loss_reg_x: 1.6530 loss_reg_y: 1.6419 loss: 7.1298 2022/08/25 22:51:25 - mmengine - INFO - Epoch(train) [23][110/125] lr: 9.8678e-04 eta: 1 day, 6:30:29 time: 0.5459 data_time: 0.0360 memory: 9483 loss_text: 1.0560 loss_center: 2.8046 loss_reg_x: 1.7453 loss_reg_y: 1.5954 loss: 7.2013 2022/08/25 22:51:28 - mmengine - INFO - Epoch(train) [23][115/125] lr: 9.8678e-04 eta: 1 day, 6:30:29 time: 0.5171 data_time: 0.0140 memory: 9483 loss_text: 1.0668 loss_center: 2.8705 loss_reg_x: 1.9600 loss_reg_y: 1.3689 loss: 7.2661 2022/08/25 22:51:31 - mmengine - INFO - Epoch(train) [23][120/125] lr: 9.8678e-04 eta: 1 day, 6:30:15 time: 0.5827 data_time: 0.0250 memory: 9483 loss_text: 0.9924 loss_center: 2.8338 loss_reg_x: 1.9962 loss_reg_y: 1.4211 loss: 7.2434 2022/08/25 22:51:34 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:51:34 - mmengine - INFO - Epoch(train) [23][125/125] lr: 9.8678e-04 eta: 1 day, 6:30:15 time: 0.5829 data_time: 0.0249 memory: 9483 loss_text: 0.9858 loss_center: 2.8150 loss_reg_x: 1.8477 loss_reg_y: 1.4552 loss: 7.1038 2022/08/25 22:51:37 - mmengine - INFO - Epoch(train) [24][5/125] lr: 9.8618e-04 eta: 1 day, 6:30:15 time: 0.5606 data_time: 0.0831 memory: 9483 loss_text: 1.0566 loss_center: 2.8410 loss_reg_x: 2.0364 loss_reg_y: 1.6838 loss: 7.6178 2022/08/25 22:51:39 - mmengine - INFO - Epoch(train) [24][10/125] lr: 9.8618e-04 eta: 1 day, 6:26:27 time: 0.5500 data_time: 0.0846 memory: 9483 loss_text: 1.1307 loss_center: 2.8663 loss_reg_x: 2.2217 loss_reg_y: 1.8765 loss: 8.0952 2022/08/25 22:51:43 - mmengine - INFO - Epoch(train) [24][15/125] lr: 9.8618e-04 eta: 1 day, 6:26:27 time: 0.5840 data_time: 0.0139 memory: 9483 loss_text: 1.1504 loss_center: 2.8756 loss_reg_x: 2.1295 loss_reg_y: 1.9483 loss: 8.1038 2022/08/25 22:51:45 - mmengine - INFO - Epoch(train) [24][20/125] lr: 9.8618e-04 eta: 1 day, 6:26:33 time: 0.6111 data_time: 0.0132 memory: 9483 loss_text: 1.0357 loss_center: 2.8332 loss_reg_x: 1.9197 loss_reg_y: 1.6879 loss: 7.4765 2022/08/25 22:51:48 - mmengine - INFO - Epoch(train) [24][25/125] lr: 9.8618e-04 eta: 1 day, 6:26:33 time: 0.5295 data_time: 0.0160 memory: 9483 loss_text: 0.9766 loss_center: 2.8111 loss_reg_x: 1.7040 loss_reg_y: 1.2943 loss: 6.7860 2022/08/25 22:51:53 - mmengine - INFO - Epoch(train) [24][30/125] lr: 9.8618e-04 eta: 1 day, 6:28:32 time: 0.7911 data_time: 0.0154 memory: 9483 loss_text: 0.9871 loss_center: 2.8312 loss_reg_x: 1.6840 loss_reg_y: 1.4775 loss: 6.9798 2022/08/25 22:51:56 - mmengine - INFO - Epoch(train) [24][35/125] lr: 9.8618e-04 eta: 1 day, 6:28:32 time: 0.7768 data_time: 0.0128 memory: 9483 loss_text: 1.0048 loss_center: 2.8654 loss_reg_x: 1.9932 loss_reg_y: 1.7163 loss: 7.5797 2022/08/25 22:51:58 - mmengine - INFO - Epoch(train) [24][40/125] lr: 9.8618e-04 eta: 1 day, 6:27:38 time: 0.5190 data_time: 0.0148 memory: 9483 loss_text: 1.0452 loss_center: 2.8627 loss_reg_x: 2.3135 loss_reg_y: 1.6545 loss: 7.8759 2022/08/25 22:52:02 - mmengine - INFO - Epoch(train) [24][45/125] lr: 9.8618e-04 eta: 1 day, 6:27:38 time: 0.5677 data_time: 0.0339 memory: 9483 loss_text: 1.0588 loss_center: 2.8641 loss_reg_x: 2.1302 loss_reg_y: 1.6663 loss: 7.7193 2022/08/25 22:52:04 - mmengine - INFO - Epoch(train) [24][50/125] lr: 9.8618e-04 eta: 1 day, 6:27:07 time: 0.5537 data_time: 0.0326 memory: 9483 loss_text: 1.0514 loss_center: 2.8683 loss_reg_x: 1.7601 loss_reg_y: 1.6650 loss: 7.3448 2022/08/25 22:52:07 - mmengine - INFO - Epoch(train) [24][55/125] lr: 9.8618e-04 eta: 1 day, 6:27:07 time: 0.5031 data_time: 0.0136 memory: 9483 loss_text: 1.0264 loss_center: 2.8527 loss_reg_x: 1.9526 loss_reg_y: 1.8266 loss: 7.6582 2022/08/25 22:52:09 - mmengine - INFO - Epoch(train) [24][60/125] lr: 9.8618e-04 eta: 1 day, 6:25:50 time: 0.4813 data_time: 0.0151 memory: 9483 loss_text: 1.0596 loss_center: 2.8727 loss_reg_x: 2.1279 loss_reg_y: 2.0317 loss: 8.0920 2022/08/25 22:52:13 - mmengine - INFO - Epoch(train) [24][65/125] lr: 9.8618e-04 eta: 1 day, 6:25:50 time: 0.5977 data_time: 0.0291 memory: 9483 loss_text: 1.0802 loss_center: 2.8571 loss_reg_x: 1.9955 loss_reg_y: 1.8135 loss: 7.7463 2022/08/25 22:52:16 - mmengine - INFO - Epoch(train) [24][70/125] lr: 9.8618e-04 eta: 1 day, 6:26:34 time: 0.6734 data_time: 0.0278 memory: 9483 loss_text: 1.0753 loss_center: 2.8282 loss_reg_x: 1.8873 loss_reg_y: 1.5842 loss: 7.3750 2022/08/25 22:52:18 - mmengine - INFO - Epoch(train) [24][75/125] lr: 9.8618e-04 eta: 1 day, 6:26:34 time: 0.5414 data_time: 0.0138 memory: 9483 loss_text: 1.0391 loss_center: 2.8273 loss_reg_x: 1.7709 loss_reg_y: 1.4628 loss: 7.1000 2022/08/25 22:52:20 - mmengine - INFO - Epoch(train) [24][80/125] lr: 9.8618e-04 eta: 1 day, 6:25:25 time: 0.4927 data_time: 0.0147 memory: 9483 loss_text: 1.0266 loss_center: 2.8272 loss_reg_x: 1.7447 loss_reg_y: 1.4392 loss: 7.0377 2022/08/25 22:52:23 - mmengine - INFO - Epoch(train) [24][85/125] lr: 9.8618e-04 eta: 1 day, 6:25:25 time: 0.4880 data_time: 0.0148 memory: 9483 loss_text: 1.0766 loss_center: 2.8609 loss_reg_x: 1.9532 loss_reg_y: 1.7984 loss: 7.6891 2022/08/25 22:52:25 - mmengine - INFO - Epoch(train) [24][90/125] lr: 9.8618e-04 eta: 1 day, 6:24:13 time: 0.4863 data_time: 0.0131 memory: 9483 loss_text: 1.0273 loss_center: 2.8666 loss_reg_x: 1.9207 loss_reg_y: 1.7746 loss: 7.5891 2022/08/25 22:52:28 - mmengine - INFO - Epoch(train) [24][95/125] lr: 9.8618e-04 eta: 1 day, 6:24:13 time: 0.5015 data_time: 0.0120 memory: 9483 loss_text: 1.0261 loss_center: 2.8571 loss_reg_x: 1.8601 loss_reg_y: 1.5402 loss: 7.2835 2022/08/25 22:52:32 - mmengine - INFO - Epoch(train) [24][100/125] lr: 9.8618e-04 eta: 1 day, 6:24:47 time: 0.6576 data_time: 0.0352 memory: 9483 loss_text: 1.0935 loss_center: 2.8640 loss_reg_x: 2.2280 loss_reg_y: 1.6575 loss: 7.8429 2022/08/25 22:52:34 - mmengine - INFO - Epoch(train) [24][105/125] lr: 9.8618e-04 eta: 1 day, 6:24:47 time: 0.6496 data_time: 0.0426 memory: 9483 loss_text: 1.1157 loss_center: 2.8620 loss_reg_x: 2.3008 loss_reg_y: 1.9106 loss: 8.1891 2022/08/25 22:52:37 - mmengine - INFO - Epoch(train) [24][110/125] lr: 9.8618e-04 eta: 1 day, 6:23:36 time: 0.4889 data_time: 0.0193 memory: 9483 loss_text: 1.0638 loss_center: 2.8277 loss_reg_x: 1.9895 loss_reg_y: 1.7448 loss: 7.6258 2022/08/25 22:52:39 - mmengine - INFO - Epoch(train) [24][115/125] lr: 9.8618e-04 eta: 1 day, 6:23:36 time: 0.5095 data_time: 0.0127 memory: 9483 loss_text: 1.0567 loss_center: 2.8434 loss_reg_x: 1.7903 loss_reg_y: 1.6178 loss: 7.3083 2022/08/25 22:52:43 - mmengine - INFO - Epoch(train) [24][120/125] lr: 9.8618e-04 eta: 1 day, 6:23:25 time: 0.5848 data_time: 0.0186 memory: 9483 loss_text: 1.1468 loss_center: 2.8922 loss_reg_x: 1.8311 loss_reg_y: 1.7468 loss: 7.6169 2022/08/25 22:52:45 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:52:45 - mmengine - INFO - Epoch(train) [24][125/125] lr: 9.8618e-04 eta: 1 day, 6:23:25 time: 0.5566 data_time: 0.0202 memory: 9483 loss_text: 1.1341 loss_center: 2.8782 loss_reg_x: 2.1653 loss_reg_y: 1.8780 loss: 8.0556 2022/08/25 22:52:49 - mmengine - INFO - Epoch(train) [25][5/125] lr: 9.8558e-04 eta: 1 day, 6:23:25 time: 0.5912 data_time: 0.0886 memory: 9483 loss_text: 1.0367 loss_center: 2.8575 loss_reg_x: 2.0011 loss_reg_y: 1.7911 loss: 7.6863 2022/08/25 22:52:52 - mmengine - INFO - Epoch(train) [25][10/125] lr: 9.8558e-04 eta: 1 day, 6:21:09 time: 0.6823 data_time: 0.0869 memory: 9483 loss_text: 1.0241 loss_center: 2.8519 loss_reg_x: 1.8172 loss_reg_y: 1.6520 loss: 7.3452 2022/08/25 22:52:54 - mmengine - INFO - Epoch(train) [25][15/125] lr: 9.8558e-04 eta: 1 day, 6:21:09 time: 0.5957 data_time: 0.0140 memory: 9483 loss_text: 1.0939 loss_center: 2.8657 loss_reg_x: 2.0041 loss_reg_y: 1.7999 loss: 7.7635 2022/08/25 22:52:57 - mmengine - INFO - Epoch(train) [25][20/125] lr: 9.8558e-04 eta: 1 day, 6:20:22 time: 0.5247 data_time: 0.0157 memory: 9483 loss_text: 1.0541 loss_center: 2.8686 loss_reg_x: 1.9859 loss_reg_y: 1.8041 loss: 7.7127 2022/08/25 22:53:00 - mmengine - INFO - Epoch(train) [25][25/125] lr: 9.8558e-04 eta: 1 day, 6:20:22 time: 0.5082 data_time: 0.0144 memory: 9483 loss_text: 1.0125 loss_center: 2.8355 loss_reg_x: 2.0379 loss_reg_y: 1.6869 loss: 7.5728 2022/08/25 22:53:04 - mmengine - INFO - Epoch(train) [25][30/125] lr: 9.8558e-04 eta: 1 day, 6:21:25 time: 0.7051 data_time: 0.0123 memory: 9483 loss_text: 1.0292 loss_center: 2.8110 loss_reg_x: 1.8687 loss_reg_y: 1.5052 loss: 7.2142 2022/08/25 22:53:07 - mmengine - INFO - Epoch(train) [25][35/125] lr: 9.8558e-04 eta: 1 day, 6:21:25 time: 0.7049 data_time: 0.0127 memory: 9483 loss_text: 1.0054 loss_center: 2.8062 loss_reg_x: 1.6321 loss_reg_y: 1.2922 loss: 6.7359 2022/08/25 22:53:09 - mmengine - INFO - Epoch(train) [25][40/125] lr: 9.8558e-04 eta: 1 day, 6:20:22 time: 0.4983 data_time: 0.0147 memory: 9483 loss_text: 0.9881 loss_center: 2.8025 loss_reg_x: 1.7769 loss_reg_y: 1.3591 loss: 6.9267 2022/08/25 22:53:12 - mmengine - INFO - Epoch(train) [25][45/125] lr: 9.8558e-04 eta: 1 day, 6:20:22 time: 0.5209 data_time: 0.0319 memory: 9483 loss_text: 0.9746 loss_center: 2.7728 loss_reg_x: 1.8516 loss_reg_y: 1.4978 loss: 7.0968 2022/08/25 22:53:14 - mmengine - INFO - Epoch(train) [25][50/125] lr: 9.8558e-04 eta: 1 day, 6:19:42 time: 0.5357 data_time: 0.0323 memory: 9483 loss_text: 0.9738 loss_center: 2.8082 loss_reg_x: 2.1040 loss_reg_y: 1.7006 loss: 7.5866 2022/08/25 22:53:17 - mmengine - INFO - Epoch(train) [25][55/125] lr: 9.8558e-04 eta: 1 day, 6:19:42 time: 0.5235 data_time: 0.0151 memory: 9483 loss_text: 1.0610 loss_center: 2.8669 loss_reg_x: 2.3416 loss_reg_y: 1.7960 loss: 8.0656 2022/08/25 22:53:20 - mmengine - INFO - Epoch(train) [25][60/125] lr: 9.8558e-04 eta: 1 day, 6:19:00 time: 0.5330 data_time: 0.0147 memory: 9483 loss_text: 1.1458 loss_center: 2.8523 loss_reg_x: 2.2205 loss_reg_y: 1.6772 loss: 7.8957 2022/08/25 22:53:23 - mmengine - INFO - Epoch(train) [25][65/125] lr: 9.8558e-04 eta: 1 day, 6:19:00 time: 0.6132 data_time: 0.0143 memory: 9483 loss_text: 1.0923 loss_center: 2.8553 loss_reg_x: 2.0930 loss_reg_y: 1.7557 loss: 7.7964 2022/08/25 22:53:26 - mmengine - INFO - Epoch(train) [25][70/125] lr: 9.8558e-04 eta: 1 day, 6:18:53 time: 0.5900 data_time: 0.0126 memory: 9483 loss_text: 1.0306 loss_center: 2.8500 loss_reg_x: 2.0462 loss_reg_y: 1.6983 loss: 7.6250 2022/08/25 22:53:28 - mmengine - INFO - Epoch(train) [25][75/125] lr: 9.8558e-04 eta: 1 day, 6:18:53 time: 0.4904 data_time: 0.0133 memory: 9483 loss_text: 1.0038 loss_center: 2.8494 loss_reg_x: 2.0179 loss_reg_y: 1.6096 loss: 7.4807 2022/08/25 22:53:32 - mmengine - INFO - Epoch(train) [25][80/125] lr: 9.8558e-04 eta: 1 day, 6:19:20 time: 0.6460 data_time: 0.0380 memory: 9483 loss_text: 1.0501 loss_center: 2.8727 loss_reg_x: 2.0394 loss_reg_y: 1.7323 loss: 7.6945 2022/08/25 22:53:35 - mmengine - INFO - Epoch(train) [25][85/125] lr: 9.8558e-04 eta: 1 day, 6:19:20 time: 0.6488 data_time: 0.0370 memory: 9483 loss_text: 1.1516 loss_center: 2.8693 loss_reg_x: 2.1548 loss_reg_y: 1.9193 loss: 8.0949 2022/08/25 22:53:37 - mmengine - INFO - Epoch(train) [25][90/125] lr: 9.8558e-04 eta: 1 day, 6:18:13 time: 0.4889 data_time: 0.0123 memory: 9483 loss_text: 1.1297 loss_center: 2.8549 loss_reg_x: 2.0310 loss_reg_y: 1.9320 loss: 7.9476 2022/08/25 22:53:40 - mmengine - INFO - Epoch(train) [25][95/125] lr: 9.8558e-04 eta: 1 day, 6:18:13 time: 0.5058 data_time: 0.0142 memory: 9483 loss_text: 1.1032 loss_center: 2.8527 loss_reg_x: 1.9736 loss_reg_y: 1.8097 loss: 7.7393 2022/08/25 22:53:43 - mmengine - INFO - Epoch(train) [25][100/125] lr: 9.8558e-04 eta: 1 day, 6:18:02 time: 0.5845 data_time: 0.0197 memory: 9483 loss_text: 1.0614 loss_center: 2.8408 loss_reg_x: 1.7015 loss_reg_y: 1.5896 loss: 7.1933 2022/08/25 22:53:45 - mmengine - INFO - Epoch(train) [25][105/125] lr: 9.8558e-04 eta: 1 day, 6:18:02 time: 0.5774 data_time: 0.0186 memory: 9483 loss_text: 0.9931 loss_center: 2.8415 loss_reg_x: 1.7233 loss_reg_y: 1.4697 loss: 7.0276 2022/08/25 22:53:48 - mmengine - INFO - Epoch(train) [25][110/125] lr: 9.8558e-04 eta: 1 day, 6:16:56 time: 0.4891 data_time: 0.0130 memory: 9483 loss_text: 1.0199 loss_center: 2.8513 loss_reg_x: 1.9201 loss_reg_y: 1.4499 loss: 7.2412 2022/08/25 22:53:52 - mmengine - INFO - Epoch(train) [25][115/125] lr: 9.8558e-04 eta: 1 day, 6:16:56 time: 0.6642 data_time: 0.0128 memory: 9483 loss_text: 1.0771 loss_center: 2.8761 loss_reg_x: 1.9657 loss_reg_y: 1.9398 loss: 7.8587 2022/08/25 22:53:55 - mmengine - INFO - Epoch(train) [25][120/125] lr: 9.8558e-04 eta: 1 day, 6:17:52 time: 0.6966 data_time: 0.0178 memory: 9483 loss_text: 1.1003 loss_center: 2.8876 loss_reg_x: 1.7990 loss_reg_y: 1.8317 loss: 7.6186 2022/08/25 22:53:57 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:53:57 - mmengine - INFO - Epoch(train) [25][125/125] lr: 9.8558e-04 eta: 1 day, 6:17:52 time: 0.5080 data_time: 0.0174 memory: 9483 loss_text: 1.0960 loss_center: 2.8671 loss_reg_x: 1.8345 loss_reg_y: 1.4970 loss: 7.2946 2022/08/25 22:54:01 - mmengine - INFO - Epoch(train) [26][5/125] lr: 9.8498e-04 eta: 1 day, 6:17:52 time: 0.6260 data_time: 0.0894 memory: 9483 loss_text: 1.0979 loss_center: 2.8632 loss_reg_x: 2.0975 loss_reg_y: 1.5751 loss: 7.6338 2022/08/25 22:54:04 - mmengine - INFO - Epoch(train) [26][10/125] lr: 9.8498e-04 eta: 1 day, 6:15:24 time: 0.6509 data_time: 0.0919 memory: 9483 loss_text: 1.0441 loss_center: 2.8643 loss_reg_x: 2.0223 loss_reg_y: 1.5253 loss: 7.4560 2022/08/25 22:54:06 - mmengine - INFO - Epoch(train) [26][15/125] lr: 9.8498e-04 eta: 1 day, 6:15:24 time: 0.5081 data_time: 0.0185 memory: 9483 loss_text: 1.0727 loss_center: 2.8579 loss_reg_x: 1.9851 loss_reg_y: 1.5699 loss: 7.4856 2022/08/25 22:54:09 - mmengine - INFO - Epoch(train) [26][20/125] lr: 9.8498e-04 eta: 1 day, 6:14:50 time: 0.5428 data_time: 0.0172 memory: 9483 loss_text: 1.1377 loss_center: 2.8490 loss_reg_x: 1.9629 loss_reg_y: 1.6751 loss: 7.6247 2022/08/25 22:54:12 - mmengine - INFO - Epoch(train) [26][25/125] lr: 9.8498e-04 eta: 1 day, 6:14:50 time: 0.5631 data_time: 0.0137 memory: 9483 loss_text: 1.1445 loss_center: 2.8573 loss_reg_x: 2.0373 loss_reg_y: 1.9928 loss: 8.0319 2022/08/25 22:54:14 - mmengine - INFO - Epoch(train) [26][30/125] lr: 9.8498e-04 eta: 1 day, 6:13:58 time: 0.5108 data_time: 0.0135 memory: 9483 loss_text: 1.0779 loss_center: 2.8144 loss_reg_x: 2.1737 loss_reg_y: 2.2041 loss: 8.2701 2022/08/25 22:54:17 - mmengine - INFO - Epoch(train) [26][35/125] lr: 9.8498e-04 eta: 1 day, 6:13:58 time: 0.5241 data_time: 0.0157 memory: 9483 loss_text: 1.0883 loss_center: 2.8123 loss_reg_x: 2.3560 loss_reg_y: 2.0742 loss: 8.3307 2022/08/25 22:54:22 - mmengine - INFO - Epoch(train) [26][40/125] lr: 9.8498e-04 eta: 1 day, 6:15:15 time: 0.7332 data_time: 0.0466 memory: 9483 loss_text: 1.0391 loss_center: 2.8473 loss_reg_x: 1.9511 loss_reg_y: 1.6202 loss: 7.4577 2022/08/25 22:54:24 - mmengine - INFO - Epoch(train) [26][45/125] lr: 9.8498e-04 eta: 1 day, 6:15:15 time: 0.7166 data_time: 0.0465 memory: 9483 loss_text: 0.9081 loss_center: 2.7849 loss_reg_x: 1.6850 loss_reg_y: 1.4614 loss: 6.8395 2022/08/25 22:54:27 - mmengine - INFO - Epoch(train) [26][50/125] lr: 9.8498e-04 eta: 1 day, 6:14:24 time: 0.5130 data_time: 0.0161 memory: 9483 loss_text: 1.0189 loss_center: 2.7911 loss_reg_x: 2.1241 loss_reg_y: 1.6935 loss: 7.6275 2022/08/25 22:54:29 - mmengine - INFO - Epoch(train) [26][55/125] lr: 9.8498e-04 eta: 1 day, 6:14:24 time: 0.5262 data_time: 0.0167 memory: 9483 loss_text: 1.1121 loss_center: 2.8655 loss_reg_x: 2.3119 loss_reg_y: 1.9242 loss: 8.2137 2022/08/25 22:54:32 - mmengine - INFO - Epoch(train) [26][60/125] lr: 9.8498e-04 eta: 1 day, 6:14:04 time: 0.5663 data_time: 0.0155 memory: 9483 loss_text: 1.1602 loss_center: 2.8740 loss_reg_x: 2.0851 loss_reg_y: 1.9558 loss: 8.0751 2022/08/25 22:54:35 - mmengine - INFO - Epoch(train) [26][65/125] lr: 9.8498e-04 eta: 1 day, 6:14:04 time: 0.5501 data_time: 0.0123 memory: 9483 loss_text: 1.1146 loss_center: 2.8580 loss_reg_x: 2.1800 loss_reg_y: 1.8822 loss: 8.0348 2022/08/25 22:54:37 - mmengine - INFO - Epoch(train) [26][70/125] lr: 9.8498e-04 eta: 1 day, 6:13:04 time: 0.4980 data_time: 0.0124 memory: 9483 loss_text: 0.9973 loss_center: 2.8054 loss_reg_x: 2.0811 loss_reg_y: 1.6847 loss: 7.5684 2022/08/25 22:54:41 - mmengine - INFO - Epoch(train) [26][75/125] lr: 9.8498e-04 eta: 1 day, 6:13:04 time: 0.5523 data_time: 0.0150 memory: 9483 loss_text: 0.9988 loss_center: 2.7893 loss_reg_x: 1.6920 loss_reg_y: 1.4240 loss: 6.9042 2022/08/25 22:54:45 - mmengine - INFO - Epoch(train) [26][80/125] lr: 9.8498e-04 eta: 1 day, 6:14:54 time: 0.7907 data_time: 0.0420 memory: 9483 loss_text: 1.1075 loss_center: 2.8345 loss_reg_x: 1.9104 loss_reg_y: 1.4899 loss: 7.3423 2022/08/25 22:54:48 - mmengine - INFO - Epoch(train) [26][85/125] lr: 9.8498e-04 eta: 1 day, 6:14:54 time: 0.7175 data_time: 0.0402 memory: 9483 loss_text: 1.1681 loss_center: 2.8547 loss_reg_x: 2.1891 loss_reg_y: 1.8262 loss: 8.0380 2022/08/25 22:54:50 - mmengine - INFO - Epoch(train) [26][90/125] lr: 9.8498e-04 eta: 1 day, 6:14:05 time: 0.5159 data_time: 0.0150 memory: 9483 loss_text: 1.0381 loss_center: 2.8438 loss_reg_x: 1.9704 loss_reg_y: 1.9568 loss: 7.8091 2022/08/25 22:54:53 - mmengine - INFO - Epoch(train) [26][95/125] lr: 9.8498e-04 eta: 1 day, 6:14:05 time: 0.5130 data_time: 0.0202 memory: 9483 loss_text: 1.0564 loss_center: 2.8613 loss_reg_x: 1.8825 loss_reg_y: 1.9427 loss: 7.7430 2022/08/25 22:54:55 - mmengine - INFO - Epoch(train) [26][100/125] lr: 9.8498e-04 eta: 1 day, 6:12:51 time: 0.4712 data_time: 0.0180 memory: 9483 loss_text: 1.1806 loss_center: 2.9046 loss_reg_x: 2.1974 loss_reg_y: 2.1571 loss: 8.4397 2022/08/25 22:54:58 - mmengine - INFO - Epoch(train) [26][105/125] lr: 9.8498e-04 eta: 1 day, 6:12:51 time: 0.4908 data_time: 0.0119 memory: 9483 loss_text: 1.1660 loss_center: 2.8746 loss_reg_x: 2.1880 loss_reg_y: 1.9695 loss: 8.1981 2022/08/25 22:55:00 - mmengine - INFO - Epoch(train) [26][110/125] lr: 9.8498e-04 eta: 1 day, 6:12:08 time: 0.5257 data_time: 0.0144 memory: 9483 loss_text: 1.0739 loss_center: 2.8433 loss_reg_x: 2.2504 loss_reg_y: 1.9196 loss: 8.0873 2022/08/25 22:55:03 - mmengine - INFO - Epoch(train) [26][115/125] lr: 9.8498e-04 eta: 1 day, 6:12:08 time: 0.5408 data_time: 0.0200 memory: 9483 loss_text: 1.0269 loss_center: 2.8687 loss_reg_x: 2.0701 loss_reg_y: 2.0812 loss: 8.0469 2022/08/25 22:55:06 - mmengine - INFO - Epoch(train) [26][120/125] lr: 9.8498e-04 eta: 1 day, 6:11:23 time: 0.5209 data_time: 0.0185 memory: 9483 loss_text: 1.0682 loss_center: 2.8862 loss_reg_x: 1.8353 loss_reg_y: 1.8686 loss: 7.6583 2022/08/25 22:55:08 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:55:08 - mmengine - INFO - Epoch(train) [26][125/125] lr: 9.8498e-04 eta: 1 day, 6:11:23 time: 0.5105 data_time: 0.0133 memory: 9483 loss_text: 1.0529 loss_center: 2.8221 loss_reg_x: 1.9992 loss_reg_y: 1.7660 loss: 7.6403 2022/08/25 22:55:12 - mmengine - INFO - Epoch(train) [27][5/125] lr: 9.8438e-04 eta: 1 day, 6:11:23 time: 0.6890 data_time: 0.0989 memory: 9483 loss_text: 1.0801 loss_center: 2.8230 loss_reg_x: 2.3238 loss_reg_y: 2.0242 loss: 8.2511 2022/08/25 22:55:15 - mmengine - INFO - Epoch(train) [27][10/125] lr: 9.8438e-04 eta: 1 day, 6:09:26 time: 0.6933 data_time: 0.0970 memory: 9483 loss_text: 1.0473 loss_center: 2.8599 loss_reg_x: 2.4822 loss_reg_y: 2.1089 loss: 8.4982 2022/08/25 22:55:18 - mmengine - INFO - Epoch(train) [27][15/125] lr: 9.8438e-04 eta: 1 day, 6:09:26 time: 0.5165 data_time: 0.0151 memory: 9483 loss_text: 0.9528 loss_center: 2.8287 loss_reg_x: 2.3170 loss_reg_y: 1.9093 loss: 8.0077 2022/08/25 22:55:21 - mmengine - INFO - Epoch(train) [27][20/125] lr: 9.8438e-04 eta: 1 day, 6:08:50 time: 0.5363 data_time: 0.0193 memory: 9483 loss_text: 1.0149 loss_center: 2.8426 loss_reg_x: 1.8589 loss_reg_y: 1.7168 loss: 7.4333 2022/08/25 22:55:24 - mmengine - INFO - Epoch(train) [27][25/125] lr: 9.8438e-04 eta: 1 day, 6:08:50 time: 0.6129 data_time: 0.0249 memory: 9483 loss_text: 1.1168 loss_center: 2.8725 loss_reg_x: 1.7534 loss_reg_y: 1.7944 loss: 7.5372 2022/08/25 22:55:26 - mmengine - INFO - Epoch(train) [27][30/125] lr: 9.8438e-04 eta: 1 day, 6:08:32 time: 0.5672 data_time: 0.0224 memory: 9483 loss_text: 1.1422 loss_center: 2.8844 loss_reg_x: 2.0900 loss_reg_y: 1.9796 loss: 8.0962 2022/08/25 22:55:29 - mmengine - INFO - Epoch(train) [27][35/125] lr: 9.8438e-04 eta: 1 day, 6:08:32 time: 0.4823 data_time: 0.0125 memory: 9483 loss_text: 1.1237 loss_center: 2.8196 loss_reg_x: 2.0356 loss_reg_y: 1.7421 loss: 7.7211 2022/08/25 22:55:34 - mmengine - INFO - Epoch(train) [27][40/125] lr: 9.8438e-04 eta: 1 day, 6:09:54 time: 0.7462 data_time: 0.0813 memory: 9483 loss_text: 1.1079 loss_center: 2.8140 loss_reg_x: 1.9766 loss_reg_y: 1.7351 loss: 7.6335 2022/08/25 22:55:36 - mmengine - INFO - Epoch(train) [27][45/125] lr: 9.8438e-04 eta: 1 day, 6:09:54 time: 0.7801 data_time: 0.0846 memory: 9483 loss_text: 1.1066 loss_center: 2.8609 loss_reg_x: 1.9575 loss_reg_y: 1.7506 loss: 7.6756 2022/08/25 22:55:39 - mmengine - INFO - Epoch(train) [27][50/125] lr: 9.8438e-04 eta: 1 day, 6:09:06 time: 0.5141 data_time: 0.0159 memory: 9483 loss_text: 1.1918 loss_center: 2.8563 loss_reg_x: 1.8121 loss_reg_y: 1.4888 loss: 7.3490 2022/08/25 22:55:41 - mmengine - INFO - Epoch(train) [27][55/125] lr: 9.8438e-04 eta: 1 day, 6:09:06 time: 0.4832 data_time: 0.0129 memory: 9483 loss_text: 1.2254 loss_center: 2.8682 loss_reg_x: 2.0918 loss_reg_y: 1.5068 loss: 7.6922 2022/08/25 22:55:44 - mmengine - INFO - Epoch(train) [27][60/125] lr: 9.8438e-04 eta: 1 day, 6:08:15 time: 0.5089 data_time: 0.0129 memory: 9483 loss_text: 1.1367 loss_center: 2.8387 loss_reg_x: 2.2135 loss_reg_y: 1.6583 loss: 7.8473 2022/08/25 22:55:46 - mmengine - INFO - Epoch(train) [27][65/125] lr: 9.8438e-04 eta: 1 day, 6:08:15 time: 0.5024 data_time: 0.0142 memory: 9483 loss_text: 1.1395 loss_center: 2.8314 loss_reg_x: 1.9530 loss_reg_y: 1.7836 loss: 7.7075 2022/08/25 22:55:49 - mmengine - INFO - Epoch(train) [27][70/125] lr: 9.8438e-04 eta: 1 day, 6:07:14 time: 0.4882 data_time: 0.0185 memory: 9483 loss_text: 1.1294 loss_center: 2.8440 loss_reg_x: 1.9471 loss_reg_y: 1.6647 loss: 7.5852 2022/08/25 22:55:54 - mmengine - INFO - Epoch(train) [27][75/125] lr: 9.8438e-04 eta: 1 day, 6:07:14 time: 0.7333 data_time: 0.0630 memory: 9483 loss_text: 1.0696 loss_center: 2.8403 loss_reg_x: 1.7986 loss_reg_y: 1.4390 loss: 7.1474 2022/08/25 22:55:56 - mmengine - INFO - Epoch(train) [27][80/125] lr: 9.8438e-04 eta: 1 day, 6:08:26 time: 0.7311 data_time: 0.0595 memory: 9483 loss_text: 1.0173 loss_center: 2.8439 loss_reg_x: 1.8992 loss_reg_y: 1.6477 loss: 7.4080 2022/08/25 22:55:59 - mmengine - INFO - Epoch(train) [27][85/125] lr: 9.8438e-04 eta: 1 day, 6:08:26 time: 0.4915 data_time: 0.0149 memory: 9483 loss_text: 0.9700 loss_center: 2.8370 loss_reg_x: 2.0791 loss_reg_y: 1.6866 loss: 7.5727 2022/08/25 22:56:01 - mmengine - INFO - Epoch(train) [27][90/125] lr: 9.8438e-04 eta: 1 day, 6:07:37 time: 0.5102 data_time: 0.0140 memory: 9483 loss_text: 0.9582 loss_center: 2.8275 loss_reg_x: 1.9178 loss_reg_y: 1.4488 loss: 7.1524 2022/08/25 22:56:04 - mmengine - INFO - Epoch(train) [27][95/125] lr: 9.8438e-04 eta: 1 day, 6:07:37 time: 0.5361 data_time: 0.0125 memory: 9483 loss_text: 0.9840 loss_center: 2.8400 loss_reg_x: 1.8734 loss_reg_y: 1.5567 loss: 7.2542 2022/08/25 22:56:07 - mmengine - INFO - Epoch(train) [27][100/125] lr: 9.8438e-04 eta: 1 day, 6:07:01 time: 0.5349 data_time: 0.0126 memory: 9483 loss_text: 1.0031 loss_center: 2.8490 loss_reg_x: 1.8959 loss_reg_y: 1.7547 loss: 7.5028 2022/08/25 22:56:09 - mmengine - INFO - Epoch(train) [27][105/125] lr: 9.8438e-04 eta: 1 day, 6:07:01 time: 0.5057 data_time: 0.0146 memory: 9483 loss_text: 0.9386 loss_center: 2.8394 loss_reg_x: 1.6195 loss_reg_y: 1.7040 loss: 7.1015 2022/08/25 22:56:14 - mmengine - INFO - Epoch(train) [27][110/125] lr: 9.8438e-04 eta: 1 day, 6:08:36 time: 0.7716 data_time: 0.0150 memory: 9483 loss_text: 0.9064 loss_center: 2.8460 loss_reg_x: 1.6070 loss_reg_y: 1.6144 loss: 6.9737 2022/08/25 22:56:17 - mmengine - INFO - Epoch(train) [27][115/125] lr: 9.8438e-04 eta: 1 day, 6:08:36 time: 0.8052 data_time: 0.0127 memory: 9483 loss_text: 0.9211 loss_center: 2.8441 loss_reg_x: 1.8125 loss_reg_y: 1.6414 loss: 7.2191 2022/08/25 22:56:20 - mmengine - INFO - Epoch(train) [27][120/125] lr: 9.8438e-04 eta: 1 day, 6:07:58 time: 0.5309 data_time: 0.0182 memory: 9483 loss_text: 0.9436 loss_center: 2.8383 loss_reg_x: 1.7769 loss_reg_y: 1.5286 loss: 7.0874 2022/08/25 22:56:22 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:56:22 - mmengine - INFO - Epoch(train) [27][125/125] lr: 9.8438e-04 eta: 1 day, 6:07:58 time: 0.4988 data_time: 0.0183 memory: 9483 loss_text: 0.9448 loss_center: 2.8551 loss_reg_x: 1.8154 loss_reg_y: 1.5988 loss: 7.2141 2022/08/25 22:56:25 - mmengine - INFO - Epoch(train) [28][5/125] lr: 9.8378e-04 eta: 1 day, 6:07:58 time: 0.5803 data_time: 0.0962 memory: 9483 loss_text: 0.9203 loss_center: 2.8466 loss_reg_x: 1.8714 loss_reg_y: 1.6900 loss: 7.3283 2022/08/25 22:56:28 - mmengine - INFO - Epoch(train) [28][10/125] lr: 9.8378e-04 eta: 1 day, 6:05:14 time: 0.5982 data_time: 0.0952 memory: 9483 loss_text: 0.9686 loss_center: 2.8296 loss_reg_x: 1.8110 loss_reg_y: 1.7741 loss: 7.3833 2022/08/25 22:56:32 - mmengine - INFO - Epoch(train) [28][15/125] lr: 9.8378e-04 eta: 1 day, 6:05:14 time: 0.6179 data_time: 0.0172 memory: 9483 loss_text: 1.0599 loss_center: 2.8526 loss_reg_x: 1.7817 loss_reg_y: 1.7021 loss: 7.3963 2022/08/25 22:56:35 - mmengine - INFO - Epoch(train) [28][20/125] lr: 9.8378e-04 eta: 1 day, 6:06:23 time: 0.7276 data_time: 0.0644 memory: 9483 loss_text: 1.0227 loss_center: 2.8637 loss_reg_x: 1.8638 loss_reg_y: 1.6702 loss: 7.4204 2022/08/25 22:56:38 - mmengine - INFO - Epoch(train) [28][25/125] lr: 9.8378e-04 eta: 1 day, 6:06:23 time: 0.6111 data_time: 0.0597 memory: 9483 loss_text: 1.0022 loss_center: 2.8719 loss_reg_x: 2.0079 loss_reg_y: 2.0159 loss: 7.8979 2022/08/25 22:56:40 - mmengine - INFO - Epoch(train) [28][30/125] lr: 9.8378e-04 eta: 1 day, 6:05:26 time: 0.4926 data_time: 0.0139 memory: 9483 loss_text: 1.0055 loss_center: 2.8599 loss_reg_x: 2.0560 loss_reg_y: 1.7932 loss: 7.7146 2022/08/25 22:56:43 - mmengine - INFO - Epoch(train) [28][35/125] lr: 9.8378e-04 eta: 1 day, 6:05:26 time: 0.5096 data_time: 0.0157 memory: 9483 loss_text: 0.9734 loss_center: 2.8334 loss_reg_x: 1.7284 loss_reg_y: 1.4210 loss: 6.9561 2022/08/25 22:56:45 - mmengine - INFO - Epoch(train) [28][40/125] lr: 9.8378e-04 eta: 1 day, 6:04:35 time: 0.5059 data_time: 0.0156 memory: 9483 loss_text: 1.0238 loss_center: 2.8332 loss_reg_x: 1.9968 loss_reg_y: 1.4743 loss: 7.3282 2022/08/25 22:56:48 - mmengine - INFO - Epoch(train) [28][45/125] lr: 9.8378e-04 eta: 1 day, 6:04:35 time: 0.4942 data_time: 0.0129 memory: 9483 loss_text: 1.0939 loss_center: 2.8444 loss_reg_x: 2.1279 loss_reg_y: 1.6258 loss: 7.6921 2022/08/25 22:56:52 - mmengine - INFO - Epoch(train) [28][50/125] lr: 9.8378e-04 eta: 1 day, 6:04:44 time: 0.6154 data_time: 0.0126 memory: 9483 loss_text: 1.0941 loss_center: 2.8531 loss_reg_x: 1.7493 loss_reg_y: 1.6483 loss: 7.3448 2022/08/25 22:56:56 - mmengine - INFO - Epoch(train) [28][55/125] lr: 9.8378e-04 eta: 1 day, 6:04:44 time: 0.8327 data_time: 0.0693 memory: 9483 loss_text: 1.0661 loss_center: 2.8563 loss_reg_x: 1.9000 loss_reg_y: 1.4769 loss: 7.2993 2022/08/25 22:56:59 - mmengine - INFO - Epoch(train) [28][60/125] lr: 9.8378e-04 eta: 1 day, 6:05:50 time: 0.7231 data_time: 0.0709 memory: 9483 loss_text: 1.0006 loss_center: 2.8525 loss_reg_x: 1.8469 loss_reg_y: 1.3778 loss: 7.0778 2022/08/25 22:57:01 - mmengine - INFO - Epoch(train) [28][65/125] lr: 9.8378e-04 eta: 1 day, 6:05:50 time: 0.5161 data_time: 0.0142 memory: 9483 loss_text: 1.0025 loss_center: 2.8482 loss_reg_x: 1.5921 loss_reg_y: 1.3742 loss: 6.8169 2022/08/25 22:57:04 - mmengine - INFO - Epoch(train) [28][70/125] lr: 9.8378e-04 eta: 1 day, 6:04:52 time: 0.4910 data_time: 0.0164 memory: 9483 loss_text: 1.1530 loss_center: 2.8702 loss_reg_x: 2.0254 loss_reg_y: 1.7926 loss: 7.8412 2022/08/25 22:57:06 - mmengine - INFO - Epoch(train) [28][75/125] lr: 9.8378e-04 eta: 1 day, 6:04:52 time: 0.4791 data_time: 0.0190 memory: 9483 loss_text: 1.1450 loss_center: 2.8579 loss_reg_x: 2.1444 loss_reg_y: 1.8316 loss: 7.9789 2022/08/25 22:57:08 - mmengine - INFO - Epoch(train) [28][80/125] lr: 9.8378e-04 eta: 1 day, 6:03:46 time: 0.4755 data_time: 0.0152 memory: 9483 loss_text: 1.1877 loss_center: 2.8430 loss_reg_x: 1.9734 loss_reg_y: 1.8144 loss: 7.8185 2022/08/25 22:57:12 - mmengine - INFO - Epoch(train) [28][85/125] lr: 9.8378e-04 eta: 1 day, 6:03:46 time: 0.6205 data_time: 0.0139 memory: 9483 loss_text: 1.1863 loss_center: 2.8692 loss_reg_x: 2.3400 loss_reg_y: 2.1263 loss: 8.5218 2022/08/25 22:57:15 - mmengine - INFO - Epoch(train) [28][90/125] lr: 9.8378e-04 eta: 1 day, 6:04:08 time: 0.6399 data_time: 0.0176 memory: 9483 loss_text: 1.0310 loss_center: 2.8747 loss_reg_x: 2.0858 loss_reg_y: 1.7725 loss: 7.7640 2022/08/25 22:57:17 - mmengine - INFO - Epoch(train) [28][95/125] lr: 9.8378e-04 eta: 1 day, 6:04:08 time: 0.5086 data_time: 0.0189 memory: 9483 loss_text: 1.0721 loss_center: 2.8651 loss_reg_x: 1.7777 loss_reg_y: 1.5972 loss: 7.3121 2022/08/25 22:57:20 - mmengine - INFO - Epoch(train) [28][100/125] lr: 9.8378e-04 eta: 1 day, 6:03:10 time: 0.4899 data_time: 0.0161 memory: 9483 loss_text: 1.1637 loss_center: 2.8563 loss_reg_x: 2.0206 loss_reg_y: 1.6593 loss: 7.6999 2022/08/25 22:57:23 - mmengine - INFO - Epoch(train) [28][105/125] lr: 9.8378e-04 eta: 1 day, 6:03:10 time: 0.5742 data_time: 0.0134 memory: 9483 loss_text: 1.1416 loss_center: 2.8585 loss_reg_x: 2.2700 loss_reg_y: 1.8977 loss: 8.1679 2022/08/25 22:57:26 - mmengine - INFO - Epoch(train) [28][110/125] lr: 9.8378e-04 eta: 1 day, 6:03:21 time: 0.6196 data_time: 0.0138 memory: 9483 loss_text: 1.0562 loss_center: 2.8699 loss_reg_x: 2.1921 loss_reg_y: 1.9162 loss: 8.0344 2022/08/25 22:57:28 - mmengine - INFO - Epoch(train) [28][115/125] lr: 9.8378e-04 eta: 1 day, 6:03:21 time: 0.5296 data_time: 0.0155 memory: 9483 loss_text: 1.0179 loss_center: 2.8756 loss_reg_x: 1.9948 loss_reg_y: 1.8707 loss: 7.7590 2022/08/25 22:57:32 - mmengine - INFO - Epoch(train) [28][120/125] lr: 9.8378e-04 eta: 1 day, 6:03:31 time: 0.6181 data_time: 0.0585 memory: 9483 loss_text: 0.9906 loss_center: 2.8538 loss_reg_x: 1.8161 loss_reg_y: 1.7752 loss: 7.4357 2022/08/25 22:57:35 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:57:35 - mmengine - INFO - Epoch(train) [28][125/125] lr: 9.8378e-04 eta: 1 day, 6:03:31 time: 0.6251 data_time: 0.0615 memory: 9483 loss_text: 1.0215 loss_center: 2.8360 loss_reg_x: 1.6869 loss_reg_y: 1.5063 loss: 7.0507 2022/08/25 22:57:38 - mmengine - INFO - Epoch(train) [29][5/125] lr: 9.8317e-04 eta: 1 day, 6:03:31 time: 0.5777 data_time: 0.0888 memory: 9483 loss_text: 1.0101 loss_center: 2.8439 loss_reg_x: 1.6603 loss_reg_y: 1.5506 loss: 7.0648 2022/08/25 22:57:40 - mmengine - INFO - Epoch(train) [29][10/125] lr: 9.8317e-04 eta: 1 day, 6:00:39 time: 0.5719 data_time: 0.0850 memory: 9483 loss_text: 0.8970 loss_center: 2.8454 loss_reg_x: 1.7553 loss_reg_y: 1.7512 loss: 7.2490 2022/08/25 22:57:44 - mmengine - INFO - Epoch(train) [29][15/125] lr: 9.8317e-04 eta: 1 day, 6:00:39 time: 0.6263 data_time: 0.0171 memory: 9483 loss_text: 0.9369 loss_center: 2.8550 loss_reg_x: 1.8794 loss_reg_y: 1.8653 loss: 7.5367 2022/08/25 22:57:46 - mmengine - INFO - Epoch(train) [29][20/125] lr: 9.8317e-04 eta: 1 day, 6:00:44 time: 0.6075 data_time: 0.0168 memory: 9483 loss_text: 1.0115 loss_center: 2.8686 loss_reg_x: 1.9852 loss_reg_y: 1.9150 loss: 7.7803 2022/08/25 22:57:49 - mmengine - INFO - Epoch(train) [29][25/125] lr: 9.8317e-04 eta: 1 day, 6:00:44 time: 0.4908 data_time: 0.0140 memory: 9483 loss_text: 1.0125 loss_center: 2.8508 loss_reg_x: 2.2250 loss_reg_y: 1.8431 loss: 7.9314 2022/08/25 22:57:52 - mmengine - INFO - Epoch(train) [29][30/125] lr: 9.8317e-04 eta: 1 day, 6:00:14 time: 0.5414 data_time: 0.0231 memory: 9483 loss_text: 1.0091 loss_center: 2.8390 loss_reg_x: 2.1196 loss_reg_y: 1.7886 loss: 7.7562 2022/08/25 22:57:54 - mmengine - INFO - Epoch(train) [29][35/125] lr: 9.8317e-04 eta: 1 day, 6:00:14 time: 0.5341 data_time: 0.0224 memory: 9483 loss_text: 1.0856 loss_center: 2.8481 loss_reg_x: 1.8199 loss_reg_y: 1.7946 loss: 7.5482 2022/08/25 22:57:57 - mmengine - INFO - Epoch(train) [29][40/125] lr: 9.8317e-04 eta: 1 day, 5:59:29 time: 0.5117 data_time: 0.0124 memory: 9483 loss_text: 1.0912 loss_center: 2.8522 loss_reg_x: 1.6486 loss_reg_y: 1.6309 loss: 7.2229 2022/08/25 22:57:59 - mmengine - INFO - Epoch(train) [29][45/125] lr: 9.8317e-04 eta: 1 day, 5:59:29 time: 0.4875 data_time: 0.0138 memory: 9483 loss_text: 1.0611 loss_center: 2.8641 loss_reg_x: 1.7070 loss_reg_y: 1.6695 loss: 7.3018 2022/08/25 22:58:02 - mmengine - INFO - Epoch(train) [29][50/125] lr: 9.8317e-04 eta: 1 day, 5:58:48 time: 0.5185 data_time: 0.0158 memory: 9483 loss_text: 1.1234 loss_center: 2.8739 loss_reg_x: 2.0242 loss_reg_y: 1.8190 loss: 7.8404 2022/08/25 22:58:05 - mmengine - INFO - Epoch(train) [29][55/125] lr: 9.8317e-04 eta: 1 day, 5:58:48 time: 0.5506 data_time: 0.0148 memory: 9483 loss_text: 1.1291 loss_center: 2.8598 loss_reg_x: 2.1897 loss_reg_y: 1.8898 loss: 8.0684 2022/08/25 22:58:08 - mmengine - INFO - Epoch(train) [29][60/125] lr: 9.8317e-04 eta: 1 day, 5:58:51 time: 0.6039 data_time: 0.0126 memory: 9483 loss_text: 1.1011 loss_center: 2.8619 loss_reg_x: 2.1262 loss_reg_y: 1.9665 loss: 8.0557 2022/08/25 22:58:11 - mmengine - INFO - Epoch(train) [29][65/125] lr: 9.8317e-04 eta: 1 day, 5:58:51 time: 0.5998 data_time: 0.0123 memory: 9483 loss_text: 1.0584 loss_center: 2.8600 loss_reg_x: 1.8772 loss_reg_y: 1.7340 loss: 7.5295 2022/08/25 22:58:13 - mmengine - INFO - Epoch(train) [29][70/125] lr: 9.8317e-04 eta: 1 day, 5:58:07 time: 0.5129 data_time: 0.0158 memory: 9483 loss_text: 1.0822 loss_center: 2.8572 loss_reg_x: 1.8146 loss_reg_y: 1.5308 loss: 7.2849 2022/08/25 22:58:16 - mmengine - INFO - Epoch(train) [29][75/125] lr: 9.8317e-04 eta: 1 day, 5:58:07 time: 0.5065 data_time: 0.0174 memory: 9483 loss_text: 1.0894 loss_center: 2.8723 loss_reg_x: 1.8957 loss_reg_y: 1.5968 loss: 7.4543 2022/08/25 22:58:18 - mmengine - INFO - Epoch(train) [29][80/125] lr: 9.8317e-04 eta: 1 day, 5:57:18 time: 0.5031 data_time: 0.0141 memory: 9483 loss_text: 1.0028 loss_center: 2.8483 loss_reg_x: 1.6521 loss_reg_y: 1.4581 loss: 6.9613 2022/08/25 22:58:23 - mmengine - INFO - Epoch(train) [29][85/125] lr: 9.8317e-04 eta: 1 day, 5:57:18 time: 0.7465 data_time: 0.0131 memory: 9483 loss_text: 0.9356 loss_center: 2.8277 loss_reg_x: 1.7831 loss_reg_y: 1.5331 loss: 7.0796 2022/08/25 22:58:26 - mmengine - INFO - Epoch(train) [29][90/125] lr: 9.8317e-04 eta: 1 day, 5:58:42 time: 0.7609 data_time: 0.0200 memory: 9483 loss_text: 0.9620 loss_center: 2.8368 loss_reg_x: 1.9085 loss_reg_y: 1.5730 loss: 7.2803 2022/08/25 22:58:29 - mmengine - INFO - Epoch(train) [29][95/125] lr: 9.8317e-04 eta: 1 day, 5:58:42 time: 0.5328 data_time: 0.0220 memory: 9483 loss_text: 1.0009 loss_center: 2.8543 loss_reg_x: 1.6761 loss_reg_y: 1.4862 loss: 7.0174 2022/08/25 22:58:31 - mmengine - INFO - Epoch(train) [29][100/125] lr: 9.8317e-04 eta: 1 day, 5:58:19 time: 0.5545 data_time: 0.0160 memory: 9483 loss_text: 0.9720 loss_center: 2.8283 loss_reg_x: 1.6873 loss_reg_y: 1.4222 loss: 6.9098 2022/08/25 22:58:34 - mmengine - INFO - Epoch(train) [29][105/125] lr: 9.8317e-04 eta: 1 day, 5:58:19 time: 0.5339 data_time: 0.0129 memory: 9483 loss_text: 0.9110 loss_center: 2.8086 loss_reg_x: 1.6507 loss_reg_y: 1.2902 loss: 6.6604 2022/08/25 22:58:36 - mmengine - INFO - Epoch(train) [29][110/125] lr: 9.8317e-04 eta: 1 day, 5:57:21 time: 0.4833 data_time: 0.0140 memory: 9483 loss_text: 0.9559 loss_center: 2.8401 loss_reg_x: 1.7335 loss_reg_y: 1.6398 loss: 7.1693 2022/08/25 22:58:39 - mmengine - INFO - Epoch(train) [29][115/125] lr: 9.8317e-04 eta: 1 day, 5:57:21 time: 0.4993 data_time: 0.0189 memory: 9483 loss_text: 1.1310 loss_center: 2.8549 loss_reg_x: 1.8642 loss_reg_y: 1.7133 loss: 7.5634 2022/08/25 22:58:46 - mmengine - INFO - Epoch(train) [29][120/125] lr: 9.8317e-04 eta: 1 day, 6:00:10 time: 0.9307 data_time: 0.0198 memory: 9483 loss_text: 1.3316 loss_center: 2.8728 loss_reg_x: 2.2403 loss_reg_y: 1.7048 loss: 8.1495 2022/08/25 22:58:48 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 22:58:48 - mmengine - INFO - Epoch(train) [29][125/125] lr: 9.8317e-04 eta: 1 day, 6:00:10 time: 0.9215 data_time: 0.0174 memory: 9483 loss_text: 1.3208 loss_center: 2.8716 loss_reg_x: 2.4986 loss_reg_y: 1.9707 loss: 8.6616 2022/08/25 22:58:51 - mmengine - INFO - Epoch(train) [30][5/125] lr: 9.8257e-04 eta: 1 day, 6:00:10 time: 0.5787 data_time: 0.0854 memory: 9483 loss_text: 1.1645 loss_center: 2.8509 loss_reg_x: 2.3709 loss_reg_y: 1.7652 loss: 8.1515 2022/08/25 22:58:54 - mmengine - INFO - Epoch(train) [30][10/125] lr: 9.8257e-04 eta: 1 day, 5:57:27 time: 0.5759 data_time: 0.0830 memory: 9483 loss_text: 1.1017 loss_center: 2.8434 loss_reg_x: 2.2994 loss_reg_y: 1.6542 loss: 7.8987 2022/08/25 22:58:56 - mmengine - INFO - Epoch(train) [30][15/125] lr: 9.8257e-04 eta: 1 day, 5:57:27 time: 0.4941 data_time: 0.0137 memory: 9483 loss_text: 1.0377 loss_center: 2.8386 loss_reg_x: 2.0683 loss_reg_y: 1.5685 loss: 7.5132 2022/08/25 22:58:59 - mmengine - INFO - Epoch(train) [30][20/125] lr: 9.8257e-04 eta: 1 day, 5:56:38 time: 0.5009 data_time: 0.0162 memory: 9483 loss_text: 0.9556 loss_center: 2.8456 loss_reg_x: 1.9263 loss_reg_y: 1.3749 loss: 7.1024 2022/08/25 22:59:04 - mmengine - INFO - Epoch(train) [30][25/125] lr: 9.8257e-04 eta: 1 day, 5:56:38 time: 0.8036 data_time: 0.0182 memory: 9483 loss_text: 0.9632 loss_center: 2.8608 loss_reg_x: 1.8658 loss_reg_y: 1.3803 loss: 7.0700 2022/08/25 22:59:07 - mmengine - INFO - Epoch(train) [30][30/125] lr: 9.8257e-04 eta: 1 day, 5:58:18 time: 0.7980 data_time: 0.0177 memory: 9483 loss_text: 1.0875 loss_center: 2.8634 loss_reg_x: 1.7681 loss_reg_y: 1.4973 loss: 7.2164 2022/08/25 22:59:09 - mmengine - INFO - Epoch(train) [30][35/125] lr: 9.8257e-04 eta: 1 day, 5:58:18 time: 0.5005 data_time: 0.0163 memory: 9483 loss_text: 1.1246 loss_center: 2.8555 loss_reg_x: 1.8804 loss_reg_y: 1.5775 loss: 7.4381 2022/08/25 22:59:12 - mmengine - INFO - Epoch(train) [30][40/125] lr: 9.8257e-04 eta: 1 day, 5:57:42 time: 0.5261 data_time: 0.0177 memory: 9483 loss_text: 1.0575 loss_center: 2.8401 loss_reg_x: 1.8710 loss_reg_y: 1.6312 loss: 7.3998 2022/08/25 22:59:15 - mmengine - INFO - Epoch(train) [30][45/125] lr: 9.8257e-04 eta: 1 day, 5:57:42 time: 0.5316 data_time: 0.0160 memory: 9483 loss_text: 0.9859 loss_center: 2.8185 loss_reg_x: 1.7111 loss_reg_y: 1.5355 loss: 7.0510 2022/08/25 22:59:17 - mmengine - INFO - Epoch(train) [30][50/125] lr: 9.8257e-04 eta: 1 day, 5:57:03 time: 0.5214 data_time: 0.0144 memory: 9483 loss_text: 0.8449 loss_center: 2.8070 loss_reg_x: 1.5334 loss_reg_y: 1.2803 loss: 6.4655 2022/08/25 22:59:20 - mmengine - INFO - Epoch(train) [30][55/125] lr: 9.8257e-04 eta: 1 day, 5:57:03 time: 0.5092 data_time: 0.0175 memory: 9483 loss_text: 0.9680 loss_center: 2.8203 loss_reg_x: 1.6913 loss_reg_y: 1.4535 loss: 6.9330 2022/08/25 22:59:25 - mmengine - INFO - Epoch(train) [30][60/125] lr: 9.8257e-04 eta: 1 day, 5:58:46 time: 0.8033 data_time: 0.0199 memory: 9483 loss_text: 1.1676 loss_center: 2.8483 loss_reg_x: 2.1546 loss_reg_y: 1.9104 loss: 8.0809 2022/08/25 22:59:28 - mmengine - INFO - Epoch(train) [30][65/125] lr: 9.8257e-04 eta: 1 day, 5:58:46 time: 0.7955 data_time: 0.0185 memory: 9483 loss_text: 1.1606 loss_center: 2.8590 loss_reg_x: 2.1428 loss_reg_y: 1.9518 loss: 8.1142 2022/08/25 22:59:30 - mmengine - INFO - Epoch(train) [30][70/125] lr: 9.8257e-04 eta: 1 day, 5:57:56 time: 0.5000 data_time: 0.0170 memory: 9483 loss_text: 1.1073 loss_center: 2.8535 loss_reg_x: 1.8860 loss_reg_y: 1.7765 loss: 7.6233 2022/08/25 22:59:33 - mmengine - INFO - Epoch(train) [30][75/125] lr: 9.8257e-04 eta: 1 day, 5:57:56 time: 0.5342 data_time: 0.0167 memory: 9483 loss_text: 1.1406 loss_center: 2.8528 loss_reg_x: 1.9784 loss_reg_y: 1.8481 loss: 7.8200 2022/08/25 22:59:36 - mmengine - INFO - Epoch(train) [30][80/125] lr: 9.8257e-04 eta: 1 day, 5:57:17 time: 0.5187 data_time: 0.0142 memory: 9483 loss_text: 1.1557 loss_center: 2.8489 loss_reg_x: 1.8618 loss_reg_y: 1.6427 loss: 7.5091 2022/08/25 22:59:38 - mmengine - INFO - Epoch(train) [30][85/125] lr: 9.8257e-04 eta: 1 day, 5:57:17 time: 0.4717 data_time: 0.0131 memory: 9483 loss_text: 1.1208 loss_center: 2.8615 loss_reg_x: 1.7833 loss_reg_y: 1.5038 loss: 7.2694 2022/08/25 22:59:40 - mmengine - INFO - Epoch(train) [30][90/125] lr: 9.8257e-04 eta: 1 day, 5:56:22 time: 0.4883 data_time: 0.0159 memory: 9483 loss_text: 1.1138 loss_center: 2.8783 loss_reg_x: 1.8671 loss_reg_y: 1.6742 loss: 7.5334 2022/08/25 22:59:47 - mmengine - INFO - Epoch(train) [30][95/125] lr: 9.8257e-04 eta: 1 day, 5:56:22 time: 0.8916 data_time: 0.0218 memory: 9483 loss_text: 1.0689 loss_center: 2.8769 loss_reg_x: 1.8748 loss_reg_y: 1.8120 loss: 7.6326 2022/08/25 22:59:49 - mmengine - INFO - Epoch(train) [30][100/125] lr: 9.8257e-04 eta: 1 day, 5:58:38 time: 0.8734 data_time: 0.0209 memory: 9483 loss_text: 1.1030 loss_center: 2.8631 loss_reg_x: 2.0638 loss_reg_y: 1.7119 loss: 7.7419 2022/08/25 22:59:52 - mmengine - INFO - Epoch(train) [30][105/125] lr: 9.8257e-04 eta: 1 day, 5:58:38 time: 0.5187 data_time: 0.0183 memory: 9483 loss_text: 1.1487 loss_center: 2.8443 loss_reg_x: 1.9967 loss_reg_y: 1.3594 loss: 7.3490 2022/08/25 22:59:54 - mmengine - INFO - Epoch(train) [30][110/125] lr: 9.8257e-04 eta: 1 day, 5:57:51 time: 0.5050 data_time: 0.0194 memory: 9483 loss_text: 1.1077 loss_center: 2.8535 loss_reg_x: 1.8362 loss_reg_y: 1.6014 loss: 7.3987 2022/08/25 22:59:57 - mmengine - INFO - Epoch(train) [30][115/125] lr: 9.8257e-04 eta: 1 day, 5:57:51 time: 0.4692 data_time: 0.0153 memory: 9483 loss_text: 1.1034 loss_center: 2.8751 loss_reg_x: 1.7710 loss_reg_y: 1.8613 loss: 7.6108 2022/08/25 22:59:59 - mmengine - INFO - Epoch(train) [30][120/125] lr: 9.8257e-04 eta: 1 day, 5:57:00 time: 0.4937 data_time: 0.0131 memory: 9483 loss_text: 1.0700 loss_center: 2.8662 loss_reg_x: 1.9046 loss_reg_y: 1.7580 loss: 7.5988 2022/08/25 23:00:02 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:00:02 - mmengine - INFO - Epoch(train) [30][125/125] lr: 9.8257e-04 eta: 1 day, 5:57:00 time: 0.5354 data_time: 0.0287 memory: 9483 loss_text: 0.9959 loss_center: 2.8614 loss_reg_x: 1.8232 loss_reg_y: 1.7408 loss: 7.4213 2022/08/25 23:00:05 - mmengine - INFO - Epoch(train) [31][5/125] lr: 9.8197e-04 eta: 1 day, 5:57:00 time: 0.5966 data_time: 0.0959 memory: 9483 loss_text: 1.0427 loss_center: 2.8676 loss_reg_x: 1.8174 loss_reg_y: 1.7819 loss: 7.5096 2022/08/25 23:00:08 - mmengine - INFO - Epoch(train) [31][10/125] lr: 9.8197e-04 eta: 1 day, 5:54:25 time: 0.5825 data_time: 0.0804 memory: 9483 loss_text: 0.9817 loss_center: 2.8462 loss_reg_x: 1.7521 loss_reg_y: 1.5349 loss: 7.1148 2022/08/25 23:00:10 - mmengine - INFO - Epoch(train) [31][15/125] lr: 9.8197e-04 eta: 1 day, 5:54:25 time: 0.4903 data_time: 0.0117 memory: 9483 loss_text: 0.9216 loss_center: 2.8402 loss_reg_x: 1.5384 loss_reg_y: 1.2784 loss: 6.5786 2022/08/25 23:00:13 - mmengine - INFO - Epoch(train) [31][20/125] lr: 9.8197e-04 eta: 1 day, 5:53:58 time: 0.5421 data_time: 0.0167 memory: 9483 loss_text: 1.0056 loss_center: 2.8513 loss_reg_x: 1.7191 loss_reg_y: 1.4092 loss: 6.9852 2022/08/25 23:00:17 - mmengine - INFO - Epoch(train) [31][25/125] lr: 9.8197e-04 eta: 1 day, 5:53:58 time: 0.6399 data_time: 0.0248 memory: 9483 loss_text: 1.0243 loss_center: 2.8440 loss_reg_x: 1.9062 loss_reg_y: 1.5854 loss: 7.3599 2022/08/25 23:00:19 - mmengine - INFO - Epoch(train) [31][30/125] lr: 9.8197e-04 eta: 1 day, 5:53:47 time: 0.5741 data_time: 0.0204 memory: 9483 loss_text: 1.0335 loss_center: 2.8322 loss_reg_x: 2.1496 loss_reg_y: 1.5993 loss: 7.6146 2022/08/25 23:00:22 - mmengine - INFO - Epoch(train) [31][35/125] lr: 9.8197e-04 eta: 1 day, 5:53:47 time: 0.5591 data_time: 0.0128 memory: 9483 loss_text: 1.0519 loss_center: 2.8394 loss_reg_x: 2.1524 loss_reg_y: 1.6077 loss: 7.6514 2022/08/25 23:00:25 - mmengine - INFO - Epoch(train) [31][40/125] lr: 9.8197e-04 eta: 1 day, 5:53:30 time: 0.5629 data_time: 0.0122 memory: 9483 loss_text: 0.9847 loss_center: 2.8277 loss_reg_x: 1.8558 loss_reg_y: 1.6210 loss: 7.2891 2022/08/25 23:00:27 - mmengine - INFO - Epoch(train) [31][45/125] lr: 9.8197e-04 eta: 1 day, 5:53:30 time: 0.5097 data_time: 0.0147 memory: 9483 loss_text: 1.0159 loss_center: 2.8404 loss_reg_x: 1.8666 loss_reg_y: 1.5541 loss: 7.2770 2022/08/25 23:00:30 - mmengine - INFO - Epoch(train) [31][50/125] lr: 9.8197e-04 eta: 1 day, 5:52:40 time: 0.4954 data_time: 0.0145 memory: 9483 loss_text: 1.0992 loss_center: 2.8690 loss_reg_x: 1.9376 loss_reg_y: 1.6752 loss: 7.5811 2022/08/25 23:00:32 - mmengine - INFO - Epoch(train) [31][55/125] lr: 9.8197e-04 eta: 1 day, 5:52:40 time: 0.4897 data_time: 0.0132 memory: 9483 loss_text: 1.0903 loss_center: 2.8627 loss_reg_x: 1.8700 loss_reg_y: 1.8417 loss: 7.6647 2022/08/25 23:00:35 - mmengine - INFO - Epoch(train) [31][60/125] lr: 9.8197e-04 eta: 1 day, 5:51:52 time: 0.4976 data_time: 0.0141 memory: 9483 loss_text: 1.0300 loss_center: 2.8456 loss_reg_x: 1.7799 loss_reg_y: 1.6464 loss: 7.3019 2022/08/25 23:00:37 - mmengine - INFO - Epoch(train) [31][65/125] lr: 9.8197e-04 eta: 1 day, 5:51:52 time: 0.5161 data_time: 0.0152 memory: 9483 loss_text: 1.0381 loss_center: 2.8424 loss_reg_x: 1.9414 loss_reg_y: 1.7463 loss: 7.5682 2022/08/25 23:00:40 - mmengine - INFO - Epoch(train) [31][70/125] lr: 9.8197e-04 eta: 1 day, 5:51:19 time: 0.5288 data_time: 0.0167 memory: 9483 loss_text: 1.0002 loss_center: 2.8268 loss_reg_x: 1.8533 loss_reg_y: 1.6184 loss: 7.2986 2022/08/25 23:00:43 - mmengine - INFO - Epoch(train) [31][75/125] lr: 9.8197e-04 eta: 1 day, 5:51:19 time: 0.6142 data_time: 0.0153 memory: 9483 loss_text: 0.9452 loss_center: 2.8145 loss_reg_x: 1.5394 loss_reg_y: 1.2627 loss: 6.5619 2022/08/25 23:00:46 - mmengine - INFO - Epoch(train) [31][80/125] lr: 9.8197e-04 eta: 1 day, 5:51:25 time: 0.6095 data_time: 0.0131 memory: 9483 loss_text: 1.1345 loss_center: 2.8473 loss_reg_x: 1.9960 loss_reg_y: 1.6618 loss: 7.6396 2022/08/25 23:00:48 - mmengine - INFO - Epoch(train) [31][85/125] lr: 9.8197e-04 eta: 1 day, 5:51:25 time: 0.5035 data_time: 0.0127 memory: 9483 loss_text: 1.2312 loss_center: 2.8753 loss_reg_x: 2.4247 loss_reg_y: 1.9872 loss: 8.5184 2022/08/25 23:00:51 - mmengine - INFO - Epoch(train) [31][90/125] lr: 9.8197e-04 eta: 1 day, 5:50:58 time: 0.5405 data_time: 0.0157 memory: 9483 loss_text: 1.2111 loss_center: 2.8760 loss_reg_x: 2.2788 loss_reg_y: 1.9495 loss: 8.3154 2022/08/25 23:00:54 - mmengine - INFO - Epoch(train) [31][95/125] lr: 9.8197e-04 eta: 1 day, 5:50:58 time: 0.5453 data_time: 0.0163 memory: 9483 loss_text: 1.1829 loss_center: 2.8572 loss_reg_x: 2.0732 loss_reg_y: 1.8595 loss: 7.9728 2022/08/25 23:00:56 - mmengine - INFO - Epoch(train) [31][100/125] lr: 9.8197e-04 eta: 1 day, 5:50:10 time: 0.4984 data_time: 0.0131 memory: 9483 loss_text: 1.1025 loss_center: 2.8563 loss_reg_x: 2.0055 loss_reg_y: 1.8703 loss: 7.8346 2022/08/25 23:00:59 - mmengine - INFO - Epoch(train) [31][105/125] lr: 9.8197e-04 eta: 1 day, 5:50:10 time: 0.5069 data_time: 0.0129 memory: 9483 loss_text: 1.1410 loss_center: 2.8598 loss_reg_x: 2.1899 loss_reg_y: 1.9116 loss: 8.1023 2022/08/25 23:01:03 - mmengine - INFO - Epoch(train) [31][110/125] lr: 9.8197e-04 eta: 1 day, 5:50:26 time: 0.6298 data_time: 0.0167 memory: 9483 loss_text: 1.2050 loss_center: 2.8716 loss_reg_x: 2.4750 loss_reg_y: 2.1307 loss: 8.6822 2022/08/25 23:01:05 - mmengine - INFO - Epoch(train) [31][115/125] lr: 9.8197e-04 eta: 1 day, 5:50:26 time: 0.6245 data_time: 0.0175 memory: 9483 loss_text: 1.1299 loss_center: 2.8624 loss_reg_x: 2.1210 loss_reg_y: 1.8629 loss: 7.9762 2022/08/25 23:01:08 - mmengine - INFO - Epoch(train) [31][120/125] lr: 9.8197e-04 eta: 1 day, 5:49:39 time: 0.4982 data_time: 0.0148 memory: 9483 loss_text: 1.0556 loss_center: 2.8528 loss_reg_x: 1.8686 loss_reg_y: 1.7901 loss: 7.5671 2022/08/25 23:01:10 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:01:10 - mmengine - INFO - Epoch(train) [31][125/125] lr: 9.8197e-04 eta: 1 day, 5:49:39 time: 0.4869 data_time: 0.0128 memory: 9483 loss_text: 1.0329 loss_center: 2.8696 loss_reg_x: 1.9963 loss_reg_y: 1.8927 loss: 7.7915 2022/08/25 23:01:13 - mmengine - INFO - Epoch(train) [32][5/125] lr: 9.8137e-04 eta: 1 day, 5:49:39 time: 0.5756 data_time: 0.0849 memory: 9483 loss_text: 1.0339 loss_center: 2.8626 loss_reg_x: 1.9617 loss_reg_y: 1.6689 loss: 7.5271 2022/08/25 23:01:16 - mmengine - INFO - Epoch(train) [32][10/125] lr: 9.8137e-04 eta: 1 day, 5:47:20 time: 0.6028 data_time: 0.0870 memory: 9483 loss_text: 1.0959 loss_center: 2.8511 loss_reg_x: 2.1853 loss_reg_y: 1.8131 loss: 7.9454 2022/08/25 23:01:19 - mmengine - INFO - Epoch(train) [32][15/125] lr: 9.8137e-04 eta: 1 day, 5:47:20 time: 0.5151 data_time: 0.0129 memory: 9483 loss_text: 1.1220 loss_center: 2.8402 loss_reg_x: 2.3420 loss_reg_y: 1.9153 loss: 8.2194 2022/08/25 23:01:23 - mmengine - INFO - Epoch(train) [32][20/125] lr: 9.8137e-04 eta: 1 day, 5:47:49 time: 0.6564 data_time: 0.0121 memory: 9483 loss_text: 1.0590 loss_center: 2.8233 loss_reg_x: 1.9921 loss_reg_y: 1.5634 loss: 7.4379 2022/08/25 23:01:26 - mmengine - INFO - Epoch(train) [32][25/125] lr: 9.8137e-04 eta: 1 day, 5:47:49 time: 0.6922 data_time: 0.0168 memory: 9483 loss_text: 1.0154 loss_center: 2.8290 loss_reg_x: 1.8601 loss_reg_y: 1.5069 loss: 7.2114 2022/08/25 23:01:28 - mmengine - INFO - Epoch(train) [32][30/125] lr: 9.8137e-04 eta: 1 day, 5:47:12 time: 0.5194 data_time: 0.0175 memory: 9483 loss_text: 1.1251 loss_center: 2.8608 loss_reg_x: 1.9400 loss_reg_y: 1.8703 loss: 7.7961 2022/08/25 23:01:30 - mmengine - INFO - Epoch(train) [32][35/125] lr: 9.8137e-04 eta: 1 day, 5:47:12 time: 0.4819 data_time: 0.0153 memory: 9483 loss_text: 1.1384 loss_center: 2.8499 loss_reg_x: 1.9278 loss_reg_y: 1.8095 loss: 7.7256 2022/08/25 23:01:34 - mmengine - INFO - Epoch(train) [32][40/125] lr: 9.8137e-04 eta: 1 day, 5:47:01 time: 0.5724 data_time: 0.0160 memory: 9483 loss_text: 1.0475 loss_center: 2.8423 loss_reg_x: 1.7636 loss_reg_y: 1.5864 loss: 7.2399 2022/08/25 23:01:36 - mmengine - INFO - Epoch(train) [32][45/125] lr: 9.8137e-04 eta: 1 day, 5:47:01 time: 0.5811 data_time: 0.0179 memory: 9483 loss_text: 1.0437 loss_center: 2.8440 loss_reg_x: 1.5110 loss_reg_y: 1.4654 loss: 6.8640 2022/08/25 23:01:39 - mmengine - INFO - Epoch(train) [32][50/125] lr: 9.8137e-04 eta: 1 day, 5:46:26 time: 0.5217 data_time: 0.0161 memory: 9483 loss_text: 0.9684 loss_center: 2.8241 loss_reg_x: 1.5073 loss_reg_y: 1.4792 loss: 6.7790 2022/08/25 23:01:41 - mmengine - INFO - Epoch(train) [32][55/125] lr: 9.8137e-04 eta: 1 day, 5:46:26 time: 0.5270 data_time: 0.0144 memory: 9483 loss_text: 0.9782 loss_center: 2.8348 loss_reg_x: 1.9061 loss_reg_y: 1.7381 loss: 7.4572 2022/08/25 23:01:44 - mmengine - INFO - Epoch(train) [32][60/125] lr: 9.8137e-04 eta: 1 day, 5:45:45 time: 0.5089 data_time: 0.0145 memory: 9483 loss_text: 1.0318 loss_center: 2.8553 loss_reg_x: 2.0417 loss_reg_y: 1.9958 loss: 7.9246 2022/08/25 23:01:46 - mmengine - INFO - Epoch(train) [32][65/125] lr: 9.8137e-04 eta: 1 day, 5:45:45 time: 0.4863 data_time: 0.0148 memory: 9483 loss_text: 1.1005 loss_center: 2.8525 loss_reg_x: 1.9071 loss_reg_y: 1.9081 loss: 7.7683 2022/08/25 23:01:49 - mmengine - INFO - Epoch(train) [32][70/125] lr: 9.8137e-04 eta: 1 day, 5:44:57 time: 0.4921 data_time: 0.0159 memory: 9483 loss_text: 1.1497 loss_center: 2.8373 loss_reg_x: 1.8560 loss_reg_y: 1.5335 loss: 7.3765 2022/08/25 23:01:52 - mmengine - INFO - Epoch(train) [32][75/125] lr: 9.8137e-04 eta: 1 day, 5:44:57 time: 0.5308 data_time: 0.0299 memory: 9483 loss_text: 1.0602 loss_center: 2.8448 loss_reg_x: 1.7729 loss_reg_y: 1.5240 loss: 7.2019 2022/08/25 23:01:54 - mmengine - INFO - Epoch(train) [32][80/125] lr: 9.8137e-04 eta: 1 day, 5:44:21 time: 0.5194 data_time: 0.0296 memory: 9483 loss_text: 1.0874 loss_center: 2.8596 loss_reg_x: 1.8120 loss_reg_y: 1.6534 loss: 7.4125 2022/08/25 23:01:57 - mmengine - INFO - Epoch(train) [32][85/125] lr: 9.8137e-04 eta: 1 day, 5:44:21 time: 0.4903 data_time: 0.0168 memory: 9483 loss_text: 1.0698 loss_center: 2.8615 loss_reg_x: 1.8815 loss_reg_y: 1.7041 loss: 7.5170 2022/08/25 23:01:59 - mmengine - INFO - Epoch(train) [32][90/125] lr: 9.8137e-04 eta: 1 day, 5:43:35 time: 0.4953 data_time: 0.0176 memory: 9483 loss_text: 1.0016 loss_center: 2.8495 loss_reg_x: 1.8587 loss_reg_y: 1.5503 loss: 7.2600 2022/08/25 23:02:03 - mmengine - INFO - Epoch(train) [32][95/125] lr: 9.8137e-04 eta: 1 day, 5:43:35 time: 0.6980 data_time: 0.0177 memory: 9483 loss_text: 0.9544 loss_center: 2.8429 loss_reg_x: 1.6235 loss_reg_y: 1.3382 loss: 6.7591 2022/08/25 23:02:06 - mmengine - INFO - Epoch(train) [32][100/125] lr: 9.8137e-04 eta: 1 day, 5:44:17 time: 0.6874 data_time: 0.0176 memory: 9483 loss_text: 0.8590 loss_center: 2.8481 loss_reg_x: 1.4571 loss_reg_y: 1.4995 loss: 6.6636 2022/08/25 23:02:08 - mmengine - INFO - Epoch(train) [32][105/125] lr: 9.8137e-04 eta: 1 day, 5:44:17 time: 0.4760 data_time: 0.0166 memory: 9483 loss_text: 1.0184 loss_center: 2.8587 loss_reg_x: 1.8788 loss_reg_y: 1.5514 loss: 7.3073 2022/08/25 23:02:13 - mmengine - INFO - Epoch(train) [32][110/125] lr: 9.8137e-04 eta: 1 day, 5:44:55 time: 0.6783 data_time: 0.0148 memory: 9483 loss_text: 1.1759 loss_center: 2.8458 loss_reg_x: 2.3208 loss_reg_y: 1.7424 loss: 8.0848 2022/08/25 23:02:15 - mmengine - INFO - Epoch(train) [32][115/125] lr: 9.8137e-04 eta: 1 day, 5:44:55 time: 0.6829 data_time: 0.0127 memory: 9483 loss_text: 1.0731 loss_center: 2.8264 loss_reg_x: 1.8765 loss_reg_y: 1.6530 loss: 7.4290 2022/08/25 23:02:18 - mmengine - INFO - Epoch(train) [32][120/125] lr: 9.8137e-04 eta: 1 day, 5:44:07 time: 0.4925 data_time: 0.0132 memory: 9483 loss_text: 1.0206 loss_center: 2.8362 loss_reg_x: 1.7529 loss_reg_y: 1.5178 loss: 7.1275 2022/08/25 23:02:20 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:02:20 - mmengine - INFO - Epoch(train) [32][125/125] lr: 9.8137e-04 eta: 1 day, 5:44:07 time: 0.5220 data_time: 0.0168 memory: 9483 loss_text: 0.9593 loss_center: 2.8370 loss_reg_x: 1.7425 loss_reg_y: 1.4458 loss: 6.9846 2022/08/25 23:02:24 - mmengine - INFO - Epoch(train) [33][5/125] lr: 9.8077e-04 eta: 1 day, 5:44:07 time: 0.6081 data_time: 0.1076 memory: 9483 loss_text: 1.0571 loss_center: 2.8499 loss_reg_x: 1.6963 loss_reg_y: 1.4946 loss: 7.0979 2022/08/25 23:02:26 - mmengine - INFO - Epoch(train) [33][10/125] lr: 9.8077e-04 eta: 1 day, 5:41:43 time: 0.5790 data_time: 0.1052 memory: 9483 loss_text: 1.1997 loss_center: 2.8640 loss_reg_x: 1.7774 loss_reg_y: 1.6984 loss: 7.5395 2022/08/25 23:02:29 - mmengine - INFO - Epoch(train) [33][15/125] lr: 9.8077e-04 eta: 1 day, 5:41:43 time: 0.4956 data_time: 0.0149 memory: 9483 loss_text: 1.0805 loss_center: 2.8329 loss_reg_x: 1.6444 loss_reg_y: 1.4715 loss: 7.0292 2022/08/25 23:02:33 - mmengine - INFO - Epoch(train) [33][20/125] lr: 9.8077e-04 eta: 1 day, 5:42:31 time: 0.7010 data_time: 0.0382 memory: 9483 loss_text: 1.0186 loss_center: 2.8297 loss_reg_x: 1.6753 loss_reg_y: 1.3980 loss: 6.9217 2022/08/25 23:02:36 - mmengine - INFO - Epoch(train) [33][25/125] lr: 9.8077e-04 eta: 1 day, 5:42:31 time: 0.7029 data_time: 0.0373 memory: 9483 loss_text: 1.1139 loss_center: 2.8419 loss_reg_x: 1.9447 loss_reg_y: 1.8252 loss: 7.7257 2022/08/25 23:02:38 - mmengine - INFO - Epoch(train) [33][30/125] lr: 9.8077e-04 eta: 1 day, 5:41:51 time: 0.5068 data_time: 0.0126 memory: 9483 loss_text: 1.1009 loss_center: 2.8518 loss_reg_x: 2.0200 loss_reg_y: 2.0871 loss: 8.0597 2022/08/25 23:02:41 - mmengine - INFO - Epoch(train) [33][35/125] lr: 9.8077e-04 eta: 1 day, 5:41:51 time: 0.5063 data_time: 0.0128 memory: 9483 loss_text: 1.0954 loss_center: 2.8815 loss_reg_x: 2.0032 loss_reg_y: 1.9039 loss: 7.8840 2022/08/25 23:02:44 - mmengine - INFO - Epoch(train) [33][40/125] lr: 9.8077e-04 eta: 1 day, 5:41:37 time: 0.5643 data_time: 0.0152 memory: 9483 loss_text: 1.1256 loss_center: 2.8813 loss_reg_x: 2.2900 loss_reg_y: 2.0333 loss: 8.3303 2022/08/25 23:02:46 - mmengine - INFO - Epoch(train) [33][45/125] lr: 9.8077e-04 eta: 1 day, 5:41:37 time: 0.5408 data_time: 0.0147 memory: 9483 loss_text: 1.0674 loss_center: 2.8499 loss_reg_x: 2.1338 loss_reg_y: 1.8917 loss: 7.9428 2022/08/25 23:02:49 - mmengine - INFO - Epoch(train) [33][50/125] lr: 9.8077e-04 eta: 1 day, 5:40:51 time: 0.4948 data_time: 0.0121 memory: 9483 loss_text: 0.9961 loss_center: 2.8246 loss_reg_x: 1.9313 loss_reg_y: 1.7394 loss: 7.4914 2022/08/25 23:02:55 - mmengine - INFO - Epoch(train) [33][55/125] lr: 9.8077e-04 eta: 1 day, 5:40:51 time: 0.8609 data_time: 0.0127 memory: 9483 loss_text: 0.9256 loss_center: 2.8296 loss_reg_x: 1.8429 loss_reg_y: 1.7352 loss: 7.3333 2022/08/25 23:02:58 - mmengine - INFO - Epoch(train) [33][60/125] lr: 9.8077e-04 eta: 1 day, 5:43:08 time: 0.8983 data_time: 0.0166 memory: 9483 loss_text: 0.9833 loss_center: 2.8486 loss_reg_x: 1.9385 loss_reg_y: 1.7312 loss: 7.5016 2022/08/25 23:03:00 - mmengine - INFO - Epoch(train) [33][65/125] lr: 9.8077e-04 eta: 1 day, 5:43:08 time: 0.5537 data_time: 0.0165 memory: 9483 loss_text: 1.0210 loss_center: 2.8437 loss_reg_x: 2.2560 loss_reg_y: 2.0673 loss: 8.1879 2022/08/25 23:03:03 - mmengine - INFO - Epoch(train) [33][70/125] lr: 9.8077e-04 eta: 1 day, 5:42:34 time: 0.5215 data_time: 0.0153 memory: 9483 loss_text: 1.0762 loss_center: 2.8452 loss_reg_x: 2.1080 loss_reg_y: 2.0899 loss: 8.1194 2022/08/25 23:03:06 - mmengine - INFO - Epoch(train) [33][75/125] lr: 9.8077e-04 eta: 1 day, 5:42:34 time: 0.5209 data_time: 0.0145 memory: 9483 loss_text: 1.0751 loss_center: 2.8654 loss_reg_x: 1.8442 loss_reg_y: 1.7729 loss: 7.5576 2022/08/25 23:03:08 - mmengine - INFO - Epoch(train) [33][80/125] lr: 9.8077e-04 eta: 1 day, 5:42:12 time: 0.5477 data_time: 0.0156 memory: 9483 loss_text: 1.0206 loss_center: 2.8415 loss_reg_x: 1.6763 loss_reg_y: 1.3055 loss: 6.8439 2022/08/25 23:03:14 - mmengine - INFO - Epoch(train) [33][85/125] lr: 9.8077e-04 eta: 1 day, 5:42:12 time: 0.7962 data_time: 0.0163 memory: 9483 loss_text: 1.0250 loss_center: 2.8217 loss_reg_x: 1.7307 loss_reg_y: 1.2884 loss: 6.8658 2022/08/25 23:03:16 - mmengine - INFO - Epoch(train) [33][90/125] lr: 9.8077e-04 eta: 1 day, 5:43:27 time: 0.7617 data_time: 0.0192 memory: 9483 loss_text: 1.0013 loss_center: 2.8239 loss_reg_x: 1.6573 loss_reg_y: 1.4685 loss: 6.9511 2022/08/25 23:03:19 - mmengine - INFO - Epoch(train) [33][95/125] lr: 9.8077e-04 eta: 1 day, 5:43:27 time: 0.5118 data_time: 0.0206 memory: 9483 loss_text: 1.1069 loss_center: 2.8443 loss_reg_x: 1.6996 loss_reg_y: 1.6094 loss: 7.2602 2022/08/25 23:03:23 - mmengine - INFO - Epoch(train) [33][100/125] lr: 9.8077e-04 eta: 1 day, 5:44:06 time: 0.6843 data_time: 0.0147 memory: 9483 loss_text: 1.2178 loss_center: 2.8576 loss_reg_x: 1.8899 loss_reg_y: 1.5920 loss: 7.5573 2022/08/25 23:03:25 - mmengine - INFO - Epoch(train) [33][105/125] lr: 9.8077e-04 eta: 1 day, 5:44:06 time: 0.6798 data_time: 0.0141 memory: 9483 loss_text: 1.2712 loss_center: 2.8546 loss_reg_x: 1.9476 loss_reg_y: 1.6688 loss: 7.7422 2022/08/25 23:03:28 - mmengine - INFO - Epoch(train) [33][110/125] lr: 9.8077e-04 eta: 1 day, 5:43:25 time: 0.5038 data_time: 0.0142 memory: 9483 loss_text: 1.1317 loss_center: 2.8537 loss_reg_x: 1.7257 loss_reg_y: 1.6015 loss: 7.3126 2022/08/25 23:03:31 - mmengine - INFO - Epoch(train) [33][115/125] lr: 9.8077e-04 eta: 1 day, 5:43:25 time: 0.5121 data_time: 0.0151 memory: 9483 loss_text: 1.0499 loss_center: 2.8551 loss_reg_x: 1.7590 loss_reg_y: 1.6914 loss: 7.3554 2022/08/25 23:03:35 - mmengine - INFO - Epoch(train) [33][120/125] lr: 9.8077e-04 eta: 1 day, 5:44:24 time: 0.7310 data_time: 0.0380 memory: 9483 loss_text: 1.1145 loss_center: 2.8473 loss_reg_x: 2.0485 loss_reg_y: 1.8642 loss: 7.8745 2022/08/25 23:03:38 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:03:38 - mmengine - INFO - Epoch(train) [33][125/125] lr: 9.8077e-04 eta: 1 day, 5:44:24 time: 0.7180 data_time: 0.0362 memory: 9483 loss_text: 0.9836 loss_center: 2.8280 loss_reg_x: 1.8402 loss_reg_y: 1.5236 loss: 7.1754 2022/08/25 23:03:41 - mmengine - INFO - Epoch(train) [34][5/125] lr: 9.8017e-04 eta: 1 day, 5:44:24 time: 0.5306 data_time: 0.0635 memory: 9483 loss_text: 0.9185 loss_center: 2.8405 loss_reg_x: 1.7535 loss_reg_y: 1.7118 loss: 7.2243 2022/08/25 23:03:44 - mmengine - INFO - Epoch(train) [34][10/125] lr: 9.8017e-04 eta: 1 day, 5:42:18 time: 0.6104 data_time: 0.0660 memory: 9483 loss_text: 0.9890 loss_center: 2.8630 loss_reg_x: 1.8145 loss_reg_y: 1.8449 loss: 7.5113 2022/08/25 23:03:46 - mmengine - INFO - Epoch(train) [34][15/125] lr: 9.8017e-04 eta: 1 day, 5:42:18 time: 0.5614 data_time: 0.0170 memory: 9483 loss_text: 1.0008 loss_center: 2.8511 loss_reg_x: 1.6688 loss_reg_y: 1.5950 loss: 7.1157 2022/08/25 23:03:49 - mmengine - INFO - Epoch(train) [34][20/125] lr: 9.8017e-04 eta: 1 day, 5:41:35 time: 0.5003 data_time: 0.0140 memory: 9483 loss_text: 0.9071 loss_center: 2.7724 loss_reg_x: 1.4742 loss_reg_y: 1.4808 loss: 6.6345 2022/08/25 23:03:53 - mmengine - INFO - Epoch(train) [34][25/125] lr: 9.8017e-04 eta: 1 day, 5:41:35 time: 0.6512 data_time: 0.0128 memory: 9483 loss_text: 1.0007 loss_center: 2.8001 loss_reg_x: 1.8199 loss_reg_y: 1.7499 loss: 7.3705 2022/08/25 23:03:55 - mmengine - INFO - Epoch(train) [34][30/125] lr: 9.8017e-04 eta: 1 day, 5:42:01 time: 0.6548 data_time: 0.0209 memory: 9483 loss_text: 1.0991 loss_center: 2.8677 loss_reg_x: 1.8912 loss_reg_y: 1.7398 loss: 7.5978 2022/08/25 23:03:58 - mmengine - INFO - Epoch(train) [34][35/125] lr: 9.8017e-04 eta: 1 day, 5:42:01 time: 0.5244 data_time: 0.0205 memory: 9483 loss_text: 1.0025 loss_center: 2.8512 loss_reg_x: 2.0455 loss_reg_y: 1.8669 loss: 7.7661 2022/08/25 23:04:01 - mmengine - INFO - Epoch(train) [34][40/125] lr: 9.8017e-04 eta: 1 day, 5:41:29 time: 0.5226 data_time: 0.0123 memory: 9483 loss_text: 0.9506 loss_center: 2.8368 loss_reg_x: 2.1001 loss_reg_y: 1.9155 loss: 7.8030 2022/08/25 23:04:04 - mmengine - INFO - Epoch(train) [34][45/125] lr: 9.8017e-04 eta: 1 day, 5:41:29 time: 0.6460 data_time: 0.0184 memory: 9483 loss_text: 0.9721 loss_center: 2.8283 loss_reg_x: 1.5918 loss_reg_y: 1.4569 loss: 6.8491 2022/08/25 23:04:07 - mmengine - INFO - Epoch(train) [34][50/125] lr: 9.8017e-04 eta: 1 day, 5:41:37 time: 0.6144 data_time: 0.0227 memory: 9483 loss_text: 1.0750 loss_center: 2.8546 loss_reg_x: 1.7535 loss_reg_y: 1.5087 loss: 7.1918 2022/08/25 23:04:09 - mmengine - INFO - Epoch(train) [34][55/125] lr: 9.8017e-04 eta: 1 day, 5:41:37 time: 0.4757 data_time: 0.0161 memory: 9483 loss_text: 1.0686 loss_center: 2.8594 loss_reg_x: 1.9809 loss_reg_y: 1.5908 loss: 7.4997 2022/08/25 23:04:12 - mmengine - INFO - Epoch(train) [34][60/125] lr: 9.8017e-04 eta: 1 day, 5:41:12 time: 0.5397 data_time: 0.0633 memory: 9483 loss_text: 1.1434 loss_center: 2.8725 loss_reg_x: 1.9592 loss_reg_y: 1.9078 loss: 7.8828 2022/08/25 23:04:15 - mmengine - INFO - Epoch(train) [34][65/125] lr: 9.8017e-04 eta: 1 day, 5:41:12 time: 0.5725 data_time: 0.0646 memory: 9483 loss_text: 1.1103 loss_center: 2.8713 loss_reg_x: 1.7100 loss_reg_y: 1.8723 loss: 7.5638 2022/08/25 23:04:18 - mmengine - INFO - Epoch(train) [34][70/125] lr: 9.8017e-04 eta: 1 day, 5:40:47 time: 0.5384 data_time: 0.0154 memory: 9483 loss_text: 0.9697 loss_center: 2.8450 loss_reg_x: 1.6159 loss_reg_y: 1.6394 loss: 7.0699 2022/08/25 23:04:21 - mmengine - INFO - Epoch(train) [34][75/125] lr: 9.8017e-04 eta: 1 day, 5:40:47 time: 0.5736 data_time: 0.0146 memory: 9483 loss_text: 1.0171 loss_center: 2.8563 loss_reg_x: 1.8363 loss_reg_y: 1.6761 loss: 7.3858 2022/08/25 23:04:24 - mmengine - INFO - Epoch(train) [34][80/125] lr: 9.8017e-04 eta: 1 day, 5:40:53 time: 0.6114 data_time: 0.0132 memory: 9483 loss_text: 1.0376 loss_center: 2.8511 loss_reg_x: 1.9482 loss_reg_y: 1.5998 loss: 7.4367 2022/08/25 23:04:26 - mmengine - INFO - Epoch(train) [34][85/125] lr: 9.8017e-04 eta: 1 day, 5:40:53 time: 0.5454 data_time: 0.0140 memory: 9483 loss_text: 0.9971 loss_center: 2.8265 loss_reg_x: 1.9462 loss_reg_y: 1.5709 loss: 7.3407 2022/08/25 23:04:29 - mmengine - INFO - Epoch(train) [34][90/125] lr: 9.8017e-04 eta: 1 day, 5:40:14 time: 0.5073 data_time: 0.0162 memory: 9483 loss_text: 0.9602 loss_center: 2.8108 loss_reg_x: 1.8244 loss_reg_y: 1.5328 loss: 7.1282 2022/08/25 23:04:32 - mmengine - INFO - Epoch(train) [34][95/125] lr: 9.8017e-04 eta: 1 day, 5:40:14 time: 0.6330 data_time: 0.0152 memory: 9483 loss_text: 1.2186 loss_center: 2.8314 loss_reg_x: 2.1552 loss_reg_y: 1.9898 loss: 8.1951 2022/08/25 23:04:35 - mmengine - INFO - Epoch(train) [34][100/125] lr: 9.8017e-04 eta: 1 day, 5:40:31 time: 0.6353 data_time: 0.0131 memory: 9483 loss_text: 1.2767 loss_center: 2.8434 loss_reg_x: 2.2452 loss_reg_y: 2.1212 loss: 8.4864 2022/08/25 23:04:38 - mmengine - INFO - Epoch(train) [34][105/125] lr: 9.8017e-04 eta: 1 day, 5:40:31 time: 0.5161 data_time: 0.0133 memory: 9483 loss_text: 1.2427 loss_center: 2.8656 loss_reg_x: 2.0002 loss_reg_y: 1.8579 loss: 7.9665 2022/08/25 23:04:40 - mmengine - INFO - Epoch(train) [34][110/125] lr: 9.8017e-04 eta: 1 day, 5:39:48 time: 0.4970 data_time: 0.0151 memory: 9483 loss_text: 1.2481 loss_center: 2.8740 loss_reg_x: 1.9094 loss_reg_y: 1.8502 loss: 7.8817 2022/08/25 23:04:43 - mmengine - INFO - Epoch(train) [34][115/125] lr: 9.8017e-04 eta: 1 day, 5:39:48 time: 0.5449 data_time: 0.0362 memory: 9483 loss_text: 1.1995 loss_center: 2.8507 loss_reg_x: 2.0469 loss_reg_y: 1.9880 loss: 8.0850 2022/08/25 23:04:46 - mmengine - INFO - Epoch(train) [34][120/125] lr: 9.8017e-04 eta: 1 day, 5:39:28 time: 0.5481 data_time: 0.0343 memory: 9483 loss_text: 1.3752 loss_center: 2.8664 loss_reg_x: 2.1442 loss_reg_y: 1.9813 loss: 8.3672 2022/08/25 23:04:48 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:04:48 - mmengine - INFO - Epoch(train) [34][125/125] lr: 9.8017e-04 eta: 1 day, 5:39:28 time: 0.5033 data_time: 0.0130 memory: 9483 loss_text: 1.3941 loss_center: 2.8679 loss_reg_x: 2.0069 loss_reg_y: 1.8934 loss: 8.1622 2022/08/25 23:04:52 - mmengine - INFO - Epoch(train) [35][5/125] lr: 9.7957e-04 eta: 1 day, 5:39:28 time: 0.6373 data_time: 0.0677 memory: 9483 loss_text: 1.2737 loss_center: 2.8536 loss_reg_x: 1.8146 loss_reg_y: 1.7167 loss: 7.6587 2022/08/25 23:04:55 - mmengine - INFO - Epoch(train) [35][10/125] lr: 9.7957e-04 eta: 1 day, 5:37:42 time: 0.6482 data_time: 0.0773 memory: 9483 loss_text: 1.2004 loss_center: 2.8332 loss_reg_x: 1.6155 loss_reg_y: 1.5354 loss: 7.1845 2022/08/25 23:04:57 - mmengine - INFO - Epoch(train) [35][15/125] lr: 9.7957e-04 eta: 1 day, 5:37:42 time: 0.5259 data_time: 0.0219 memory: 9483 loss_text: 1.1834 loss_center: 2.8244 loss_reg_x: 1.6818 loss_reg_y: 1.4207 loss: 7.1104 2022/08/25 23:05:00 - mmengine - INFO - Epoch(train) [35][20/125] lr: 9.7957e-04 eta: 1 day, 5:37:04 time: 0.5073 data_time: 0.0130 memory: 9483 loss_text: 1.1544 loss_center: 2.8333 loss_reg_x: 1.8712 loss_reg_y: 1.5688 loss: 7.4277 2022/08/25 23:05:03 - mmengine - INFO - Epoch(train) [35][25/125] lr: 9.7957e-04 eta: 1 day, 5:37:04 time: 0.5371 data_time: 0.0162 memory: 9483 loss_text: 1.1079 loss_center: 2.8348 loss_reg_x: 1.9242 loss_reg_y: 1.7466 loss: 7.6136 2022/08/25 23:05:05 - mmengine - INFO - Epoch(train) [35][30/125] lr: 9.7957e-04 eta: 1 day, 5:36:44 time: 0.5485 data_time: 0.0153 memory: 9483 loss_text: 1.1153 loss_center: 2.8617 loss_reg_x: 1.9912 loss_reg_y: 1.7352 loss: 7.7035 2022/08/25 23:05:08 - mmengine - INFO - Epoch(train) [35][35/125] lr: 9.7957e-04 eta: 1 day, 5:36:44 time: 0.5006 data_time: 0.0131 memory: 9483 loss_text: 1.0113 loss_center: 2.8422 loss_reg_x: 1.7880 loss_reg_y: 1.4301 loss: 7.0715 2022/08/25 23:05:10 - mmengine - INFO - Epoch(train) [35][40/125] lr: 9.7957e-04 eta: 1 day, 5:35:56 time: 0.4828 data_time: 0.0135 memory: 9483 loss_text: 0.9591 loss_center: 2.8216 loss_reg_x: 1.6728 loss_reg_y: 1.3836 loss: 6.8371 2022/08/25 23:05:15 - mmengine - INFO - Epoch(train) [35][45/125] lr: 9.7957e-04 eta: 1 day, 5:35:56 time: 0.7024 data_time: 0.0196 memory: 9483 loss_text: 1.0272 loss_center: 2.8469 loss_reg_x: 2.1048 loss_reg_y: 1.8901 loss: 7.8689 2022/08/25 23:05:17 - mmengine - INFO - Epoch(train) [35][50/125] lr: 9.7957e-04 eta: 1 day, 5:36:46 time: 0.7134 data_time: 0.0195 memory: 9483 loss_text: 0.9605 loss_center: 2.8357 loss_reg_x: 1.9596 loss_reg_y: 1.7005 loss: 7.4563 2022/08/25 23:05:20 - mmengine - INFO - Epoch(train) [35][55/125] lr: 9.7957e-04 eta: 1 day, 5:36:46 time: 0.5068 data_time: 0.0129 memory: 9483 loss_text: 0.9163 loss_center: 2.8418 loss_reg_x: 1.8211 loss_reg_y: 1.3867 loss: 6.9660 2022/08/25 23:05:23 - mmengine - INFO - Epoch(train) [35][60/125] lr: 9.7957e-04 eta: 1 day, 5:36:44 time: 0.5921 data_time: 0.0472 memory: 9483 loss_text: 1.0456 loss_center: 2.8600 loss_reg_x: 1.9865 loss_reg_y: 1.5182 loss: 7.4104 2022/08/25 23:05:25 - mmengine - INFO - Epoch(train) [35][65/125] lr: 9.7957e-04 eta: 1 day, 5:36:44 time: 0.5776 data_time: 0.0490 memory: 9483 loss_text: 1.1490 loss_center: 2.8524 loss_reg_x: 2.0607 loss_reg_y: 1.6119 loss: 7.6739 2022/08/25 23:05:28 - mmengine - INFO - Epoch(train) [35][70/125] lr: 9.7957e-04 eta: 1 day, 5:36:04 time: 0.5006 data_time: 0.0146 memory: 9483 loss_text: 1.1342 loss_center: 2.8531 loss_reg_x: 2.1472 loss_reg_y: 1.7233 loss: 7.8578 2022/08/25 23:05:30 - mmengine - INFO - Epoch(train) [35][75/125] lr: 9.7957e-04 eta: 1 day, 5:36:04 time: 0.4924 data_time: 0.0128 memory: 9483 loss_text: 1.1075 loss_center: 2.8644 loss_reg_x: 2.0080 loss_reg_y: 1.7935 loss: 7.7734 2022/08/25 23:05:33 - mmengine - INFO - Epoch(train) [35][80/125] lr: 9.7957e-04 eta: 1 day, 5:35:30 time: 0.5155 data_time: 0.0139 memory: 9483 loss_text: 1.0355 loss_center: 2.8592 loss_reg_x: 1.6901 loss_reg_y: 1.4942 loss: 7.0790 2022/08/25 23:05:36 - mmengine - INFO - Epoch(train) [35][85/125] lr: 9.7957e-04 eta: 1 day, 5:35:30 time: 0.5445 data_time: 0.0157 memory: 9483 loss_text: 0.9791 loss_center: 2.8494 loss_reg_x: 1.6505 loss_reg_y: 1.2626 loss: 6.7415 2022/08/25 23:05:38 - mmengine - INFO - Epoch(train) [35][90/125] lr: 9.7957e-04 eta: 1 day, 5:34:52 time: 0.5057 data_time: 0.0142 memory: 9483 loss_text: 0.9617 loss_center: 2.8500 loss_reg_x: 1.7214 loss_reg_y: 1.5262 loss: 7.0593 2022/08/25 23:05:41 - mmengine - INFO - Epoch(train) [35][95/125] lr: 9.7957e-04 eta: 1 day, 5:34:52 time: 0.5000 data_time: 0.0121 memory: 9483 loss_text: 0.9704 loss_center: 2.8462 loss_reg_x: 1.7443 loss_reg_y: 1.8317 loss: 7.3926 2022/08/25 23:05:45 - mmengine - INFO - Epoch(train) [35][100/125] lr: 9.7957e-04 eta: 1 day, 5:35:38 time: 0.7042 data_time: 0.0135 memory: 9483 loss_text: 0.9895 loss_center: 2.8454 loss_reg_x: 1.8554 loss_reg_y: 1.9188 loss: 7.6091 2022/08/25 23:05:48 - mmengine - INFO - Epoch(train) [35][105/125] lr: 9.7957e-04 eta: 1 day, 5:35:38 time: 0.7112 data_time: 0.0182 memory: 9483 loss_text: 1.1507 loss_center: 2.8619 loss_reg_x: 2.2147 loss_reg_y: 2.3690 loss: 8.5963 2022/08/25 23:05:50 - mmengine - INFO - Epoch(train) [35][110/125] lr: 9.7957e-04 eta: 1 day, 5:34:59 time: 0.5024 data_time: 0.0168 memory: 9483 loss_text: 1.1984 loss_center: 2.8566 loss_reg_x: 2.3847 loss_reg_y: 2.2121 loss: 8.6518 2022/08/25 23:05:53 - mmengine - INFO - Epoch(train) [35][115/125] lr: 9.7957e-04 eta: 1 day, 5:34:59 time: 0.5303 data_time: 0.0130 memory: 9483 loss_text: 1.0603 loss_center: 2.8370 loss_reg_x: 2.1073 loss_reg_y: 1.7100 loss: 7.7146 2022/08/25 23:05:56 - mmengine - INFO - Epoch(train) [35][120/125] lr: 9.7957e-04 eta: 1 day, 5:34:33 time: 0.5340 data_time: 0.0131 memory: 9483 loss_text: 1.0187 loss_center: 2.8253 loss_reg_x: 2.0496 loss_reg_y: 1.6468 loss: 7.5405 2022/08/25 23:05:58 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:05:58 - mmengine - INFO - Epoch(train) [35][125/125] lr: 9.7957e-04 eta: 1 day, 5:34:33 time: 0.4924 data_time: 0.0143 memory: 9483 loss_text: 1.0266 loss_center: 2.8405 loss_reg_x: 1.8605 loss_reg_y: 1.5066 loss: 7.2342 2022/08/25 23:06:01 - mmengine - INFO - Epoch(train) [36][5/125] lr: 9.7896e-04 eta: 1 day, 5:34:33 time: 0.5591 data_time: 0.0812 memory: 9483 loss_text: 0.9506 loss_center: 2.8491 loss_reg_x: 1.5314 loss_reg_y: 1.3813 loss: 6.7123 2022/08/25 23:06:04 - mmengine - INFO - Epoch(train) [36][10/125] lr: 9.7896e-04 eta: 1 day, 5:32:36 time: 0.6112 data_time: 0.0806 memory: 9483 loss_text: 0.8811 loss_center: 2.8416 loss_reg_x: 1.5546 loss_reg_y: 1.3965 loss: 6.6737 2022/08/25 23:06:07 - mmengine - INFO - Epoch(train) [36][15/125] lr: 9.7896e-04 eta: 1 day, 5:32:36 time: 0.5627 data_time: 0.0160 memory: 9483 loss_text: 0.9630 loss_center: 2.8506 loss_reg_x: 1.7516 loss_reg_y: 1.5525 loss: 7.1177 2022/08/25 23:06:10 - mmengine - INFO - Epoch(train) [36][20/125] lr: 9.7896e-04 eta: 1 day, 5:32:06 time: 0.5224 data_time: 0.0168 memory: 9483 loss_text: 1.0114 loss_center: 2.8375 loss_reg_x: 1.7447 loss_reg_y: 1.4954 loss: 7.0889 2022/08/25 23:06:12 - mmengine - INFO - Epoch(train) [36][25/125] lr: 9.7896e-04 eta: 1 day, 5:32:06 time: 0.5241 data_time: 0.0150 memory: 9483 loss_text: 1.0733 loss_center: 2.8491 loss_reg_x: 1.7701 loss_reg_y: 1.5185 loss: 7.2110 2022/08/25 23:06:15 - mmengine - INFO - Epoch(train) [36][30/125] lr: 9.7896e-04 eta: 1 day, 5:31:39 time: 0.5310 data_time: 0.0131 memory: 9483 loss_text: 1.1431 loss_center: 2.8745 loss_reg_x: 1.9776 loss_reg_y: 1.9452 loss: 7.9404 2022/08/25 23:06:17 - mmengine - INFO - Epoch(train) [36][35/125] lr: 9.7896e-04 eta: 1 day, 5:31:39 time: 0.5008 data_time: 0.0133 memory: 9483 loss_text: 1.1363 loss_center: 2.8629 loss_reg_x: 1.9705 loss_reg_y: 2.0618 loss: 8.0315 2022/08/25 23:06:20 - mmengine - INFO - Epoch(train) [36][40/125] lr: 9.7896e-04 eta: 1 day, 5:30:58 time: 0.4948 data_time: 0.0152 memory: 9483 loss_text: 1.0731 loss_center: 2.8425 loss_reg_x: 1.8375 loss_reg_y: 1.8278 loss: 7.5809 2022/08/25 23:06:23 - mmengine - INFO - Epoch(train) [36][45/125] lr: 9.7896e-04 eta: 1 day, 5:30:58 time: 0.5934 data_time: 0.0240 memory: 9483 loss_text: 1.0196 loss_center: 2.8482 loss_reg_x: 1.6457 loss_reg_y: 1.8704 loss: 7.3839 2022/08/25 23:06:25 - mmengine - INFO - Epoch(train) [36][50/125] lr: 9.7896e-04 eta: 1 day, 5:30:48 time: 0.5712 data_time: 0.0230 memory: 9483 loss_text: 0.9702 loss_center: 2.8571 loss_reg_x: 1.6149 loss_reg_y: 1.7573 loss: 7.1995 2022/08/25 23:06:28 - mmengine - INFO - Epoch(train) [36][55/125] lr: 9.7896e-04 eta: 1 day, 5:30:48 time: 0.4939 data_time: 0.0159 memory: 9483 loss_text: 1.0012 loss_center: 2.8470 loss_reg_x: 1.9200 loss_reg_y: 1.7122 loss: 7.4805 2022/08/25 23:06:31 - mmengine - INFO - Epoch(train) [36][60/125] lr: 9.7896e-04 eta: 1 day, 5:30:14 time: 0.5107 data_time: 0.0179 memory: 9483 loss_text: 1.1260 loss_center: 2.8660 loss_reg_x: 2.0643 loss_reg_y: 1.8776 loss: 7.9338 2022/08/25 23:06:34 - mmengine - INFO - Epoch(train) [36][65/125] lr: 9.7896e-04 eta: 1 day, 5:30:14 time: 0.6234 data_time: 0.0176 memory: 9483 loss_text: 1.0691 loss_center: 2.8421 loss_reg_x: 1.8119 loss_reg_y: 1.7587 loss: 7.4818 2022/08/25 23:06:37 - mmengine - INFO - Epoch(train) [36][70/125] lr: 9.7896e-04 eta: 1 day, 5:30:26 time: 0.6241 data_time: 0.0142 memory: 9483 loss_text: 1.0326 loss_center: 2.8252 loss_reg_x: 1.9259 loss_reg_y: 1.9366 loss: 7.7203 2022/08/25 23:06:39 - mmengine - INFO - Epoch(train) [36][75/125] lr: 9.7896e-04 eta: 1 day, 5:30:26 time: 0.4988 data_time: 0.0141 memory: 9483 loss_text: 1.0521 loss_center: 2.8514 loss_reg_x: 2.0292 loss_reg_y: 1.8494 loss: 7.7821 2022/08/25 23:06:42 - mmengine - INFO - Epoch(train) [36][80/125] lr: 9.7896e-04 eta: 1 day, 5:30:12 time: 0.5601 data_time: 0.0159 memory: 9483 loss_text: 0.9961 loss_center: 2.8480 loss_reg_x: 1.8916 loss_reg_y: 1.6020 loss: 7.3376 2022/08/25 23:06:45 - mmengine - INFO - Epoch(train) [36][85/125] lr: 9.7896e-04 eta: 1 day, 5:30:12 time: 0.5730 data_time: 0.0174 memory: 9483 loss_text: 1.0312 loss_center: 2.8447 loss_reg_x: 2.1339 loss_reg_y: 1.7704 loss: 7.7802 2022/08/25 23:06:48 - mmengine - INFO - Epoch(train) [36][90/125] lr: 9.7896e-04 eta: 1 day, 5:29:42 time: 0.5229 data_time: 0.0156 memory: 9483 loss_text: 1.0464 loss_center: 2.8372 loss_reg_x: 2.0828 loss_reg_y: 1.7466 loss: 7.7131 2022/08/25 23:06:50 - mmengine - INFO - Epoch(train) [36][95/125] lr: 9.7896e-04 eta: 1 day, 5:29:42 time: 0.5227 data_time: 0.0158 memory: 9483 loss_text: 0.9994 loss_center: 2.8308 loss_reg_x: 1.6448 loss_reg_y: 1.5978 loss: 7.0727 2022/08/25 23:06:55 - mmengine - INFO - Epoch(train) [36][100/125] lr: 9.7896e-04 eta: 1 day, 5:30:39 time: 0.7325 data_time: 0.0359 memory: 9483 loss_text: 0.9671 loss_center: 2.8367 loss_reg_x: 1.4892 loss_reg_y: 1.4922 loss: 6.7852 2022/08/25 23:06:58 - mmengine - INFO - Epoch(train) [36][105/125] lr: 9.7896e-04 eta: 1 day, 5:30:39 time: 0.7565 data_time: 0.0328 memory: 9483 loss_text: 0.9235 loss_center: 2.8342 loss_reg_x: 1.4859 loss_reg_y: 1.4890 loss: 6.7326 2022/08/25 23:07:00 - mmengine - INFO - Epoch(train) [36][110/125] lr: 9.7896e-04 eta: 1 day, 5:30:09 time: 0.5224 data_time: 0.0163 memory: 9483 loss_text: 0.9029 loss_center: 2.7626 loss_reg_x: 1.4346 loss_reg_y: 1.4845 loss: 6.5847 2022/08/25 23:07:03 - mmengine - INFO - Epoch(train) [36][115/125] lr: 9.7896e-04 eta: 1 day, 5:30:09 time: 0.5219 data_time: 0.0319 memory: 9483 loss_text: 0.8840 loss_center: 2.6891 loss_reg_x: 1.4223 loss_reg_y: 1.3778 loss: 6.3732 2022/08/25 23:07:06 - mmengine - INFO - Epoch(train) [36][120/125] lr: 9.7896e-04 eta: 1 day, 5:29:49 time: 0.5436 data_time: 0.0307 memory: 9483 loss_text: 0.9533 loss_center: 2.7700 loss_reg_x: 1.4556 loss_reg_y: 1.4559 loss: 6.6349 2022/08/25 23:07:08 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:07:08 - mmengine - INFO - Epoch(train) [36][125/125] lr: 9.7896e-04 eta: 1 day, 5:29:49 time: 0.5184 data_time: 0.0156 memory: 9483 loss_text: 1.0768 loss_center: 2.8743 loss_reg_x: 1.5678 loss_reg_y: 1.5893 loss: 7.1082 2022/08/25 23:07:11 - mmengine - INFO - Epoch(train) [37][5/125] lr: 9.7836e-04 eta: 1 day, 5:29:49 time: 0.5569 data_time: 0.0753 memory: 9483 loss_text: 1.1345 loss_center: 2.8729 loss_reg_x: 1.7567 loss_reg_y: 1.6656 loss: 7.4297 2022/08/25 23:07:14 - mmengine - INFO - Epoch(train) [37][10/125] lr: 9.7836e-04 eta: 1 day, 5:27:34 time: 0.5601 data_time: 0.0773 memory: 9483 loss_text: 1.0700 loss_center: 2.8530 loss_reg_x: 1.8348 loss_reg_y: 1.7690 loss: 7.5268 2022/08/25 23:07:16 - mmengine - INFO - Epoch(train) [37][15/125] lr: 9.7836e-04 eta: 1 day, 5:27:34 time: 0.5073 data_time: 0.0180 memory: 9483 loss_text: 0.9847 loss_center: 2.8336 loss_reg_x: 1.6916 loss_reg_y: 1.7514 loss: 7.2613 2022/08/25 23:07:19 - mmengine - INFO - Epoch(train) [37][20/125] lr: 9.7836e-04 eta: 1 day, 5:26:56 time: 0.4990 data_time: 0.0170 memory: 9483 loss_text: 0.9093 loss_center: 2.8247 loss_reg_x: 1.4701 loss_reg_y: 1.5099 loss: 6.7139 2022/08/25 23:07:21 - mmengine - INFO - Epoch(train) [37][25/125] lr: 9.7836e-04 eta: 1 day, 5:26:56 time: 0.4931 data_time: 0.0176 memory: 9483 loss_text: 0.8802 loss_center: 2.8415 loss_reg_x: 1.4415 loss_reg_y: 1.3956 loss: 6.5588 2022/08/25 23:07:28 - mmengine - INFO - Epoch(train) [37][30/125] lr: 9.7836e-04 eta: 1 day, 5:29:10 time: 0.9263 data_time: 0.0163 memory: 9483 loss_text: 0.9683 loss_center: 2.7801 loss_reg_x: 1.5368 loss_reg_y: 1.3267 loss: 6.6119 2022/08/25 23:07:31 - mmengine - INFO - Epoch(train) [37][35/125] lr: 9.7836e-04 eta: 1 day, 5:29:10 time: 0.9610 data_time: 0.0153 memory: 9483 loss_text: 0.9927 loss_center: 2.7639 loss_reg_x: 1.7042 loss_reg_y: 1.2434 loss: 6.7043 2022/08/25 23:07:33 - mmengine - INFO - Epoch(train) [37][40/125] lr: 9.7836e-04 eta: 1 day, 5:28:45 time: 0.5317 data_time: 0.0199 memory: 9483 loss_text: 0.9301 loss_center: 2.8226 loss_reg_x: 1.8761 loss_reg_y: 1.4816 loss: 7.1105 2022/08/25 23:07:36 - mmengine - INFO - Epoch(train) [37][45/125] lr: 9.7836e-04 eta: 1 day, 5:28:45 time: 0.5042 data_time: 0.0202 memory: 9483 loss_text: 0.9423 loss_center: 2.8379 loss_reg_x: 1.6982 loss_reg_y: 1.5408 loss: 7.0192 2022/08/25 23:07:38 - mmengine - INFO - Epoch(train) [37][50/125] lr: 9.7836e-04 eta: 1 day, 5:28:09 time: 0.5066 data_time: 0.0156 memory: 9483 loss_text: 0.9032 loss_center: 2.8330 loss_reg_x: 1.6244 loss_reg_y: 1.3555 loss: 6.7161 2022/08/25 23:07:41 - mmengine - INFO - Epoch(train) [37][55/125] lr: 9.7836e-04 eta: 1 day, 5:28:09 time: 0.5127 data_time: 0.0159 memory: 9483 loss_text: 0.8548 loss_center: 2.8341 loss_reg_x: 1.6752 loss_reg_y: 1.5460 loss: 6.9102 2022/08/25 23:07:47 - mmengine - INFO - Epoch(train) [37][60/125] lr: 9.7836e-04 eta: 1 day, 5:29:47 time: 0.8388 data_time: 0.0152 memory: 9483 loss_text: 0.9026 loss_center: 2.8477 loss_reg_x: 1.8481 loss_reg_y: 1.6508 loss: 7.2492 2022/08/25 23:07:49 - mmengine - INFO - Epoch(train) [37][65/125] lr: 9.7836e-04 eta: 1 day, 5:29:47 time: 0.8154 data_time: 0.0135 memory: 9483 loss_text: 0.9802 loss_center: 2.8358 loss_reg_x: 1.9094 loss_reg_y: 1.5562 loss: 7.2816 2022/08/25 23:07:52 - mmengine - INFO - Epoch(train) [37][70/125] lr: 9.7836e-04 eta: 1 day, 5:29:04 time: 0.4875 data_time: 0.0152 memory: 9483 loss_text: 0.9980 loss_center: 2.8235 loss_reg_x: 1.6225 loss_reg_y: 1.5021 loss: 6.9461 2022/08/25 23:07:54 - mmengine - INFO - Epoch(train) [37][75/125] lr: 9.7836e-04 eta: 1 day, 5:29:04 time: 0.5064 data_time: 0.0160 memory: 9483 loss_text: 0.9141 loss_center: 2.8337 loss_reg_x: 1.5381 loss_reg_y: 1.4373 loss: 6.7232 2022/08/25 23:07:57 - mmengine - INFO - Epoch(train) [37][80/125] lr: 9.7836e-04 eta: 1 day, 5:28:44 time: 0.5436 data_time: 0.0234 memory: 9483 loss_text: 0.9576 loss_center: 2.8437 loss_reg_x: 1.6849 loss_reg_y: 1.6162 loss: 7.1024 2022/08/25 23:08:00 - mmengine - INFO - Epoch(train) [37][85/125] lr: 9.7836e-04 eta: 1 day, 5:28:44 time: 0.5707 data_time: 0.0237 memory: 9483 loss_text: 0.9959 loss_center: 2.8391 loss_reg_x: 1.5989 loss_reg_y: 1.4873 loss: 6.9212 2022/08/25 23:08:03 - mmengine - INFO - Epoch(train) [37][90/125] lr: 9.7836e-04 eta: 1 day, 5:28:21 time: 0.5375 data_time: 0.0187 memory: 9483 loss_text: 1.0104 loss_center: 2.8324 loss_reg_x: 1.5268 loss_reg_y: 1.3916 loss: 6.7612 2022/08/25 23:08:05 - mmengine - INFO - Epoch(train) [37][95/125] lr: 9.7836e-04 eta: 1 day, 5:28:21 time: 0.4999 data_time: 0.0182 memory: 9483 loss_text: 1.0093 loss_center: 2.8291 loss_reg_x: 1.5318 loss_reg_y: 1.4125 loss: 6.7826 2022/08/25 23:08:07 - mmengine - INFO - Epoch(train) [37][100/125] lr: 9.7836e-04 eta: 1 day, 5:27:41 time: 0.4946 data_time: 0.0138 memory: 9483 loss_text: 0.9677 loss_center: 2.8332 loss_reg_x: 1.3011 loss_reg_y: 1.2483 loss: 6.3504 2022/08/25 23:08:10 - mmengine - INFO - Epoch(train) [37][105/125] lr: 9.7836e-04 eta: 1 day, 5:27:41 time: 0.4936 data_time: 0.0127 memory: 9483 loss_text: 0.9327 loss_center: 2.8264 loss_reg_x: 1.3141 loss_reg_y: 1.3523 loss: 6.4255 2022/08/25 23:08:15 - mmengine - INFO - Epoch(train) [37][110/125] lr: 9.7836e-04 eta: 1 day, 5:28:29 time: 0.7147 data_time: 0.0591 memory: 9483 loss_text: 0.9292 loss_center: 2.8244 loss_reg_x: 1.6819 loss_reg_y: 1.6677 loss: 7.1032 2022/08/25 23:08:17 - mmengine - INFO - Epoch(train) [37][115/125] lr: 9.7836e-04 eta: 1 day, 5:28:29 time: 0.7398 data_time: 0.0613 memory: 9483 loss_text: 0.9643 loss_center: 2.8338 loss_reg_x: 1.8356 loss_reg_y: 1.5454 loss: 7.1792 2022/08/25 23:08:20 - mmengine - INFO - Epoch(train) [37][120/125] lr: 9.7836e-04 eta: 1 day, 5:27:57 time: 0.5141 data_time: 0.0151 memory: 9483 loss_text: 0.9913 loss_center: 2.8511 loss_reg_x: 1.9243 loss_reg_y: 1.6027 loss: 7.3695 2022/08/25 23:08:22 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:08:22 - mmengine - INFO - Epoch(train) [37][125/125] lr: 9.7836e-04 eta: 1 day, 5:27:57 time: 0.4942 data_time: 0.0127 memory: 9483 loss_text: 1.0252 loss_center: 2.8525 loss_reg_x: 1.8868 loss_reg_y: 1.7067 loss: 7.4712 2022/08/25 23:08:25 - mmengine - INFO - Epoch(train) [38][5/125] lr: 9.7776e-04 eta: 1 day, 5:27:57 time: 0.5364 data_time: 0.0657 memory: 9483 loss_text: 0.9623 loss_center: 2.8332 loss_reg_x: 1.5490 loss_reg_y: 1.3376 loss: 6.6821 2022/08/25 23:08:27 - mmengine - INFO - Epoch(train) [38][10/125] lr: 9.7776e-04 eta: 1 day, 5:25:30 time: 0.5193 data_time: 0.0675 memory: 9483 loss_text: 1.0052 loss_center: 2.8312 loss_reg_x: 1.5875 loss_reg_y: 1.4286 loss: 6.8525 2022/08/25 23:08:30 - mmengine - INFO - Epoch(train) [38][15/125] lr: 9.7776e-04 eta: 1 day, 5:25:30 time: 0.4780 data_time: 0.0144 memory: 9483 loss_text: 1.0075 loss_center: 2.8307 loss_reg_x: 1.5770 loss_reg_y: 1.4039 loss: 6.8191 2022/08/25 23:08:36 - mmengine - INFO - Epoch(train) [38][20/125] lr: 9.7776e-04 eta: 1 day, 5:27:06 time: 0.8389 data_time: 0.0639 memory: 9483 loss_text: 0.9251 loss_center: 2.8409 loss_reg_x: 1.5009 loss_reg_y: 1.3896 loss: 6.6565 2022/08/25 23:08:38 - mmengine - INFO - Epoch(train) [38][25/125] lr: 9.7776e-04 eta: 1 day, 5:27:06 time: 0.8387 data_time: 0.0663 memory: 9483 loss_text: 0.9422 loss_center: 2.8442 loss_reg_x: 1.4949 loss_reg_y: 1.4882 loss: 6.7695 2022/08/25 23:08:41 - mmengine - INFO - Epoch(train) [38][30/125] lr: 9.7776e-04 eta: 1 day, 5:26:24 time: 0.4872 data_time: 0.0148 memory: 9483 loss_text: 0.9964 loss_center: 2.8428 loss_reg_x: 1.4800 loss_reg_y: 1.3995 loss: 6.7187 2022/08/25 23:08:43 - mmengine - INFO - Epoch(train) [38][35/125] lr: 9.7776e-04 eta: 1 day, 5:26:24 time: 0.4861 data_time: 0.0131 memory: 9483 loss_text: 0.9749 loss_center: 2.8437 loss_reg_x: 1.5366 loss_reg_y: 1.3146 loss: 6.6698 2022/08/25 23:08:46 - mmengine - INFO - Epoch(train) [38][40/125] lr: 9.7776e-04 eta: 1 day, 5:25:47 time: 0.4987 data_time: 0.0138 memory: 9483 loss_text: 1.0595 loss_center: 2.8525 loss_reg_x: 1.7209 loss_reg_y: 1.7231 loss: 7.3560 2022/08/25 23:08:48 - mmengine - INFO - Epoch(train) [38][45/125] lr: 9.7776e-04 eta: 1 day, 5:25:47 time: 0.5058 data_time: 0.0136 memory: 9483 loss_text: 1.1173 loss_center: 2.8666 loss_reg_x: 2.0897 loss_reg_y: 2.1045 loss: 8.1781 2022/08/25 23:08:51 - mmengine - INFO - Epoch(train) [38][50/125] lr: 9.7776e-04 eta: 1 day, 5:25:14 time: 0.5113 data_time: 0.0153 memory: 9483 loss_text: 0.9897 loss_center: 2.8501 loss_reg_x: 1.9682 loss_reg_y: 1.6929 loss: 7.5010 2022/08/25 23:08:57 - mmengine - INFO - Epoch(train) [38][55/125] lr: 9.7776e-04 eta: 1 day, 5:25:14 time: 0.9193 data_time: 0.0467 memory: 9483 loss_text: 1.0008 loss_center: 2.8415 loss_reg_x: 1.8359 loss_reg_y: 1.4715 loss: 7.1498 2022/08/25 23:09:00 - mmengine - INFO - Epoch(train) [38][60/125] lr: 9.7776e-04 eta: 1 day, 5:27:19 time: 0.9147 data_time: 0.0453 memory: 9483 loss_text: 0.9752 loss_center: 2.8291 loss_reg_x: 1.6928 loss_reg_y: 1.5014 loss: 6.9985 2022/08/25 23:09:02 - mmengine - INFO - Epoch(train) [38][65/125] lr: 9.7776e-04 eta: 1 day, 5:27:19 time: 0.5017 data_time: 0.0159 memory: 9483 loss_text: 1.0160 loss_center: 2.8437 loss_reg_x: 1.4763 loss_reg_y: 1.5523 loss: 6.8883 2022/08/25 23:09:05 - mmengine - INFO - Epoch(train) [38][70/125] lr: 9.7776e-04 eta: 1 day, 5:26:48 time: 0.5152 data_time: 0.0163 memory: 9483 loss_text: 1.1173 loss_center: 2.8558 loss_reg_x: 1.6643 loss_reg_y: 1.5580 loss: 7.1953 2022/08/25 23:09:08 - mmengine - INFO - Epoch(train) [38][75/125] lr: 9.7776e-04 eta: 1 day, 5:26:48 time: 0.5378 data_time: 0.0141 memory: 9483 loss_text: 0.9652 loss_center: 2.8310 loss_reg_x: 1.7435 loss_reg_y: 1.4192 loss: 6.9589 2022/08/25 23:09:10 - mmengine - INFO - Epoch(train) [38][80/125] lr: 9.7776e-04 eta: 1 day, 5:26:20 time: 0.5212 data_time: 0.0129 memory: 9483 loss_text: 0.9628 loss_center: 2.8038 loss_reg_x: 1.5669 loss_reg_y: 1.4786 loss: 6.8121 2022/08/25 23:09:13 - mmengine - INFO - Epoch(train) [38][85/125] lr: 9.7776e-04 eta: 1 day, 5:26:20 time: 0.5612 data_time: 0.0141 memory: 9483 loss_text: 1.1051 loss_center: 2.8185 loss_reg_x: 1.5635 loss_reg_y: 1.6528 loss: 7.1398 2022/08/25 23:09:16 - mmengine - INFO - Epoch(train) [38][90/125] lr: 9.7776e-04 eta: 1 day, 5:26:17 time: 0.5876 data_time: 0.0199 memory: 9483 loss_text: 1.0426 loss_center: 2.8589 loss_reg_x: 1.7964 loss_reg_y: 1.7707 loss: 7.4687 2022/08/25 23:09:19 - mmengine - INFO - Epoch(train) [38][95/125] lr: 9.7776e-04 eta: 1 day, 5:26:17 time: 0.5549 data_time: 0.0186 memory: 9483 loss_text: 1.0411 loss_center: 2.8398 loss_reg_x: 2.0034 loss_reg_y: 1.6645 loss: 7.5489 2022/08/25 23:09:22 - mmengine - INFO - Epoch(train) [38][100/125] lr: 9.7776e-04 eta: 1 day, 5:26:07 time: 0.5681 data_time: 0.0135 memory: 9483 loss_text: 1.0369 loss_center: 2.8320 loss_reg_x: 1.8252 loss_reg_y: 1.6264 loss: 7.3205 2022/08/25 23:09:24 - mmengine - INFO - Epoch(train) [38][105/125] lr: 9.7776e-04 eta: 1 day, 5:26:07 time: 0.5310 data_time: 0.0151 memory: 9483 loss_text: 0.9875 loss_center: 2.8459 loss_reg_x: 1.6568 loss_reg_y: 1.7698 loss: 7.2600 2022/08/25 23:09:27 - mmengine - INFO - Epoch(train) [38][110/125] lr: 9.7776e-04 eta: 1 day, 5:25:19 time: 0.4711 data_time: 0.0147 memory: 9483 loss_text: 0.9514 loss_center: 2.8260 loss_reg_x: 1.7541 loss_reg_y: 1.8033 loss: 7.3349 2022/08/25 23:09:29 - mmengine - INFO - Epoch(train) [38][115/125] lr: 9.7776e-04 eta: 1 day, 5:25:19 time: 0.4852 data_time: 0.0138 memory: 9483 loss_text: 0.9216 loss_center: 2.8311 loss_reg_x: 1.8572 loss_reg_y: 1.8054 loss: 7.4154 2022/08/25 23:09:31 - mmengine - INFO - Epoch(train) [38][120/125] lr: 9.7776e-04 eta: 1 day, 5:24:35 time: 0.4793 data_time: 0.0132 memory: 9483 loss_text: 0.9894 loss_center: 2.8673 loss_reg_x: 1.9002 loss_reg_y: 1.8026 loss: 7.5596 2022/08/25 23:09:35 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:09:35 - mmengine - INFO - Epoch(train) [38][125/125] lr: 9.7776e-04 eta: 1 day, 5:24:35 time: 0.5700 data_time: 0.0120 memory: 9483 loss_text: 1.0420 loss_center: 2.8402 loss_reg_x: 1.7974 loss_reg_y: 1.5863 loss: 7.2659 2022/08/25 23:09:38 - mmengine - INFO - Epoch(train) [39][5/125] lr: 9.7716e-04 eta: 1 day, 5:24:35 time: 0.6798 data_time: 0.0762 memory: 9483 loss_text: 0.9899 loss_center: 2.8094 loss_reg_x: 1.8803 loss_reg_y: 1.6477 loss: 7.3274 2022/08/25 23:09:41 - mmengine - INFO - Epoch(train) [39][10/125] lr: 9.7716e-04 eta: 1 day, 5:22:38 time: 0.5885 data_time: 0.0797 memory: 9483 loss_text: 1.0071 loss_center: 2.8191 loss_reg_x: 2.1013 loss_reg_y: 1.9258 loss: 7.8533 2022/08/25 23:09:44 - mmengine - INFO - Epoch(train) [39][15/125] lr: 9.7716e-04 eta: 1 day, 5:22:38 time: 0.5326 data_time: 0.0148 memory: 9483 loss_text: 1.0068 loss_center: 2.8126 loss_reg_x: 2.0653 loss_reg_y: 1.7185 loss: 7.6032 2022/08/25 23:09:46 - mmengine - INFO - Epoch(train) [39][20/125] lr: 9.7716e-04 eta: 1 day, 5:22:11 time: 0.5222 data_time: 0.0119 memory: 9483 loss_text: 1.1344 loss_center: 2.8138 loss_reg_x: 1.9840 loss_reg_y: 1.6328 loss: 7.5649 2022/08/25 23:09:48 - mmengine - INFO - Epoch(train) [39][25/125] lr: 9.7716e-04 eta: 1 day, 5:22:11 time: 0.4884 data_time: 0.0153 memory: 9483 loss_text: 1.1760 loss_center: 2.8305 loss_reg_x: 2.1138 loss_reg_y: 1.9218 loss: 8.0422 2022/08/25 23:09:51 - mmengine - INFO - Epoch(train) [39][30/125] lr: 9.7716e-04 eta: 1 day, 5:21:31 time: 0.4904 data_time: 0.0194 memory: 9483 loss_text: 0.9940 loss_center: 2.8331 loss_reg_x: 2.0219 loss_reg_y: 1.8582 loss: 7.7072 2022/08/25 23:09:56 - mmengine - INFO - Epoch(train) [39][35/125] lr: 9.7716e-04 eta: 1 day, 5:21:31 time: 0.7651 data_time: 0.0931 memory: 9483 loss_text: 0.8974 loss_center: 2.7638 loss_reg_x: 1.5778 loss_reg_y: 1.4196 loss: 6.6585 2022/08/25 23:09:59 - mmengine - INFO - Epoch(train) [39][40/125] lr: 9.7716e-04 eta: 1 day, 5:22:41 time: 0.7754 data_time: 0.0917 memory: 9483 loss_text: 0.9256 loss_center: 2.7616 loss_reg_x: 1.5743 loss_reg_y: 1.3005 loss: 6.5620 2022/08/25 23:10:01 - mmengine - INFO - Epoch(train) [39][45/125] lr: 9.7716e-04 eta: 1 day, 5:22:41 time: 0.5162 data_time: 0.0195 memory: 9483 loss_text: 0.9597 loss_center: 2.7633 loss_reg_x: 1.5946 loss_reg_y: 1.2937 loss: 6.6112 2022/08/25 23:10:04 - mmengine - INFO - Epoch(train) [39][50/125] lr: 9.7716e-04 eta: 1 day, 5:22:09 time: 0.5099 data_time: 0.0184 memory: 9483 loss_text: 0.9359 loss_center: 2.7633 loss_reg_x: 1.6440 loss_reg_y: 1.3485 loss: 6.6917 2022/08/25 23:10:06 - mmengine - INFO - Epoch(train) [39][55/125] lr: 9.7716e-04 eta: 1 day, 5:22:09 time: 0.4955 data_time: 0.0145 memory: 9483 loss_text: 1.0117 loss_center: 2.8402 loss_reg_x: 1.7984 loss_reg_y: 1.3659 loss: 7.0161 2022/08/25 23:10:09 - mmengine - INFO - Epoch(train) [39][60/125] lr: 9.7716e-04 eta: 1 day, 5:21:25 time: 0.4786 data_time: 0.0144 memory: 9483 loss_text: 0.9915 loss_center: 2.8422 loss_reg_x: 1.5867 loss_reg_y: 1.3006 loss: 6.7211 2022/08/25 23:10:11 - mmengine - INFO - Epoch(train) [39][65/125] lr: 9.7716e-04 eta: 1 day, 5:21:25 time: 0.4854 data_time: 0.0154 memory: 9483 loss_text: 0.9494 loss_center: 2.8304 loss_reg_x: 1.4255 loss_reg_y: 1.2318 loss: 6.4372 2022/08/25 23:10:16 - mmengine - INFO - Epoch(train) [39][70/125] lr: 9.7716e-04 eta: 1 day, 5:22:26 time: 0.7563 data_time: 0.0569 memory: 9483 loss_text: 1.0265 loss_center: 2.8283 loss_reg_x: 1.4844 loss_reg_y: 1.2362 loss: 6.5754 2022/08/25 23:10:19 - mmengine - INFO - Epoch(train) [39][75/125] lr: 9.7716e-04 eta: 1 day, 5:22:26 time: 0.7673 data_time: 0.0568 memory: 9483 loss_text: 0.9769 loss_center: 2.8405 loss_reg_x: 1.6588 loss_reg_y: 1.5503 loss: 7.0265 2022/08/25 23:10:21 - mmengine - INFO - Epoch(train) [39][80/125] lr: 9.7716e-04 eta: 1 day, 5:21:56 time: 0.5145 data_time: 0.0152 memory: 9483 loss_text: 0.9056 loss_center: 2.8612 loss_reg_x: 1.8334 loss_reg_y: 1.7114 loss: 7.3116 2022/08/25 23:10:24 - mmengine - INFO - Epoch(train) [39][85/125] lr: 9.7716e-04 eta: 1 day, 5:21:56 time: 0.5174 data_time: 0.0140 memory: 9483 loss_text: 0.9049 loss_center: 2.8447 loss_reg_x: 1.8774 loss_reg_y: 1.8043 loss: 7.4314 2022/08/25 23:10:26 - mmengine - INFO - Epoch(train) [39][90/125] lr: 9.7716e-04 eta: 1 day, 5:21:21 time: 0.4997 data_time: 0.0136 memory: 9483 loss_text: 0.9370 loss_center: 2.8392 loss_reg_x: 1.6754 loss_reg_y: 1.7501 loss: 7.2017 2022/08/25 23:10:29 - mmengine - INFO - Epoch(train) [39][95/125] lr: 9.7716e-04 eta: 1 day, 5:21:21 time: 0.4881 data_time: 0.0148 memory: 9483 loss_text: 0.9639 loss_center: 2.8577 loss_reg_x: 1.6370 loss_reg_y: 1.5301 loss: 6.9888 2022/08/25 23:10:31 - mmengine - INFO - Epoch(train) [39][100/125] lr: 9.7716e-04 eta: 1 day, 5:20:52 time: 0.5189 data_time: 0.0177 memory: 9483 loss_text: 0.8724 loss_center: 2.8373 loss_reg_x: 1.6273 loss_reg_y: 1.3961 loss: 6.7331 2022/08/25 23:10:36 - mmengine - INFO - Epoch(train) [39][105/125] lr: 9.7716e-04 eta: 1 day, 5:20:52 time: 0.7125 data_time: 0.0182 memory: 9483 loss_text: 0.9794 loss_center: 2.8521 loss_reg_x: 1.9110 loss_reg_y: 1.6226 loss: 7.3651 2022/08/25 23:10:39 - mmengine - INFO - Epoch(train) [39][110/125] lr: 9.7716e-04 eta: 1 day, 5:21:35 time: 0.7081 data_time: 0.0136 memory: 9483 loss_text: 1.0061 loss_center: 2.8429 loss_reg_x: 1.9165 loss_reg_y: 1.7288 loss: 7.4942 2022/08/25 23:10:41 - mmengine - INFO - Epoch(train) [39][115/125] lr: 9.7716e-04 eta: 1 day, 5:21:35 time: 0.5034 data_time: 0.0127 memory: 9483 loss_text: 1.0006 loss_center: 2.8306 loss_reg_x: 1.9244 loss_reg_y: 1.7611 loss: 7.5167 2022/08/25 23:10:44 - mmengine - INFO - Epoch(train) [39][120/125] lr: 9.7716e-04 eta: 1 day, 5:21:05 time: 0.5135 data_time: 0.0215 memory: 9483 loss_text: 1.2225 loss_center: 2.8793 loss_reg_x: 2.5027 loss_reg_y: 2.1363 loss: 8.7408 2022/08/25 23:10:46 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:10:46 - mmengine - INFO - Epoch(train) [39][125/125] lr: 9.7716e-04 eta: 1 day, 5:21:05 time: 0.5330 data_time: 0.0232 memory: 9483 loss_text: 1.1298 loss_center: 2.8456 loss_reg_x: 1.9874 loss_reg_y: 1.6947 loss: 7.6575 2022/08/25 23:10:49 - mmengine - INFO - Epoch(train) [40][5/125] lr: 9.7656e-04 eta: 1 day, 5:21:05 time: 0.5768 data_time: 0.0650 memory: 9483 loss_text: 1.0060 loss_center: 2.8391 loss_reg_x: 1.3895 loss_reg_y: 1.3346 loss: 6.5692 2022/08/25 23:10:53 - mmengine - INFO - Epoch(train) [40][10/125] lr: 9.7656e-04 eta: 1 day, 5:19:33 time: 0.6439 data_time: 0.0608 memory: 9483 loss_text: 1.0721 loss_center: 2.8611 loss_reg_x: 1.5955 loss_reg_y: 1.5013 loss: 7.0300 2022/08/25 23:10:56 - mmengine - INFO - Epoch(train) [40][15/125] lr: 9.7656e-04 eta: 1 day, 5:19:33 time: 0.6069 data_time: 0.0179 memory: 9483 loss_text: 1.0784 loss_center: 2.8420 loss_reg_x: 1.8340 loss_reg_y: 1.7010 loss: 7.4554 2022/08/25 23:10:58 - mmengine - INFO - Epoch(train) [40][20/125] lr: 9.7656e-04 eta: 1 day, 5:19:14 time: 0.5427 data_time: 0.0200 memory: 9483 loss_text: 1.0934 loss_center: 2.8345 loss_reg_x: 2.0996 loss_reg_y: 1.7752 loss: 7.8028 2022/08/25 23:11:01 - mmengine - INFO - Epoch(train) [40][25/125] lr: 9.7656e-04 eta: 1 day, 5:19:14 time: 0.4950 data_time: 0.0126 memory: 9483 loss_text: 1.0529 loss_center: 2.8245 loss_reg_x: 1.8134 loss_reg_y: 1.4393 loss: 7.1302 2022/08/25 23:11:06 - mmengine - INFO - Epoch(train) [40][30/125] lr: 9.7656e-04 eta: 1 day, 5:20:19 time: 0.7680 data_time: 0.0127 memory: 9483 loss_text: 0.9768 loss_center: 2.8374 loss_reg_x: 1.5943 loss_reg_y: 1.3750 loss: 6.7834 2022/08/25 23:11:08 - mmengine - INFO - Epoch(train) [40][35/125] lr: 9.7656e-04 eta: 1 day, 5:20:19 time: 0.7866 data_time: 0.0172 memory: 9483 loss_text: 0.9514 loss_center: 2.8513 loss_reg_x: 1.6721 loss_reg_y: 1.5226 loss: 6.9974 2022/08/25 23:11:11 - mmengine - INFO - Epoch(train) [40][40/125] lr: 9.7656e-04 eta: 1 day, 5:19:47 time: 0.5078 data_time: 0.0168 memory: 9483 loss_text: 0.9144 loss_center: 2.8381 loss_reg_x: 1.6494 loss_reg_y: 1.5722 loss: 6.9742 2022/08/25 23:11:14 - mmengine - INFO - Epoch(train) [40][45/125] lr: 9.7656e-04 eta: 1 day, 5:19:47 time: 0.6039 data_time: 0.0121 memory: 9483 loss_text: 0.9226 loss_center: 2.8324 loss_reg_x: 1.7883 loss_reg_y: 1.6086 loss: 7.1518 2022/08/25 23:11:17 - mmengine - INFO - Epoch(train) [40][50/125] lr: 9.7656e-04 eta: 1 day, 5:19:52 time: 0.6083 data_time: 0.0127 memory: 9483 loss_text: 1.0167 loss_center: 2.8500 loss_reg_x: 1.9217 loss_reg_y: 1.6245 loss: 7.4129 2022/08/25 23:11:19 - mmengine - INFO - Epoch(train) [40][55/125] lr: 9.7656e-04 eta: 1 day, 5:19:52 time: 0.5004 data_time: 0.0160 memory: 9483 loss_text: 0.9932 loss_center: 2.8546 loss_reg_x: 1.6299 loss_reg_y: 1.4712 loss: 6.9488 2022/08/25 23:11:22 - mmengine - INFO - Epoch(train) [40][60/125] lr: 9.7656e-04 eta: 1 day, 5:19:27 time: 0.5258 data_time: 0.0153 memory: 9483 loss_text: 1.0179 loss_center: 2.8540 loss_reg_x: 1.5594 loss_reg_y: 1.5626 loss: 6.9938 2022/08/25 23:11:25 - mmengine - INFO - Epoch(train) [40][65/125] lr: 9.7656e-04 eta: 1 day, 5:19:27 time: 0.5471 data_time: 0.0128 memory: 9483 loss_text: 1.1226 loss_center: 2.8556 loss_reg_x: 1.8014 loss_reg_y: 1.6538 loss: 7.4333 2022/08/25 23:11:27 - mmengine - INFO - Epoch(train) [40][70/125] lr: 9.7656e-04 eta: 1 day, 5:18:58 time: 0.5168 data_time: 0.0129 memory: 9483 loss_text: 1.1300 loss_center: 2.8469 loss_reg_x: 1.8368 loss_reg_y: 1.5155 loss: 7.3292 2022/08/25 23:11:30 - mmengine - INFO - Epoch(train) [40][75/125] lr: 9.7656e-04 eta: 1 day, 5:18:58 time: 0.5147 data_time: 0.0182 memory: 9483 loss_text: 1.0894 loss_center: 2.8386 loss_reg_x: 1.8748 loss_reg_y: 1.7442 loss: 7.5471 2022/08/25 23:11:34 - mmengine - INFO - Epoch(train) [40][80/125] lr: 9.7656e-04 eta: 1 day, 5:19:36 time: 0.6950 data_time: 0.0190 memory: 9483 loss_text: 1.1446 loss_center: 2.8369 loss_reg_x: 1.8214 loss_reg_y: 1.6725 loss: 7.4754 2022/08/25 23:11:37 - mmengine - INFO - Epoch(train) [40][85/125] lr: 9.7656e-04 eta: 1 day, 5:19:36 time: 0.7091 data_time: 0.0136 memory: 9483 loss_text: 1.0750 loss_center: 2.8308 loss_reg_x: 1.6578 loss_reg_y: 1.4210 loss: 6.9846 2022/08/25 23:11:40 - mmengine - INFO - Epoch(train) [40][90/125] lr: 9.7656e-04 eta: 1 day, 5:19:13 time: 0.5333 data_time: 0.0132 memory: 9483 loss_text: 0.9575 loss_center: 2.8209 loss_reg_x: 1.7091 loss_reg_y: 1.6268 loss: 7.1144 2022/08/25 23:11:43 - mmengine - INFO - Epoch(train) [40][95/125] lr: 9.7656e-04 eta: 1 day, 5:19:13 time: 0.6329 data_time: 0.0145 memory: 9483 loss_text: 0.9594 loss_center: 2.8322 loss_reg_x: 1.8278 loss_reg_y: 1.6169 loss: 7.2363 2022/08/25 23:11:46 - mmengine - INFO - Epoch(train) [40][100/125] lr: 9.7656e-04 eta: 1 day, 5:19:26 time: 0.6300 data_time: 0.0155 memory: 9483 loss_text: 0.8223 loss_center: 2.8226 loss_reg_x: 1.3937 loss_reg_y: 1.1823 loss: 6.2210 2022/08/25 23:11:49 - mmengine - INFO - Epoch(train) [40][105/125] lr: 9.7656e-04 eta: 1 day, 5:19:26 time: 0.5270 data_time: 0.0147 memory: 9483 loss_text: 0.8873 loss_center: 2.8268 loss_reg_x: 1.3506 loss_reg_y: 1.2319 loss: 6.2966 2022/08/25 23:11:51 - mmengine - INFO - Epoch(train) [40][110/125] lr: 9.7656e-04 eta: 1 day, 5:19:01 time: 0.5236 data_time: 0.0177 memory: 9483 loss_text: 1.1051 loss_center: 2.8414 loss_reg_x: 1.7641 loss_reg_y: 1.9083 loss: 7.6190 2022/08/25 23:11:55 - mmengine - INFO - Epoch(train) [40][115/125] lr: 9.7656e-04 eta: 1 day, 5:19:01 time: 0.5791 data_time: 0.0264 memory: 9483 loss_text: 1.0963 loss_center: 2.8429 loss_reg_x: 1.8119 loss_reg_y: 1.9348 loss: 7.6859 2022/08/25 23:11:57 - mmengine - INFO - Epoch(train) [40][120/125] lr: 9.7656e-04 eta: 1 day, 5:18:54 time: 0.5762 data_time: 0.0238 memory: 9483 loss_text: 1.0255 loss_center: 2.8320 loss_reg_x: 1.5459 loss_reg_y: 1.5332 loss: 6.9366 2022/08/25 23:11:59 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:11:59 - mmengine - INFO - Epoch(train) [40][125/125] lr: 9.7656e-04 eta: 1 day, 5:18:54 time: 0.4920 data_time: 0.0137 memory: 9483 loss_text: 1.0236 loss_center: 2.8245 loss_reg_x: 1.5796 loss_reg_y: 1.5111 loss: 6.9388 2022/08/25 23:11:59 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/25 23:12:06 - mmengine - INFO - Epoch(val) [40][5/500] eta: 1 day, 5:18:54 time: 0.1456 data_time: 0.0036 memory: 602 2022/08/25 23:12:06 - mmengine - INFO - Epoch(val) [40][10/500] eta: 0:01:31 time: 0.1858 data_time: 0.0037 memory: 602 2022/08/25 23:12:07 - mmengine - INFO - Epoch(val) [40][15/500] eta: 0:01:31 time: 0.1710 data_time: 0.0018 memory: 587 2022/08/25 23:12:08 - mmengine - INFO - Epoch(val) [40][20/500] eta: 0:01:11 time: 0.1494 data_time: 0.0016 memory: 602 2022/08/25 23:12:09 - mmengine - INFO - Epoch(val) [40][25/500] eta: 0:01:11 time: 0.1301 data_time: 0.0016 memory: 602 2022/08/25 23:12:09 - mmengine - INFO - Epoch(val) [40][30/500] eta: 0:00:54 time: 0.1170 data_time: 0.0016 memory: 602 2022/08/25 23:12:10 - mmengine - INFO - Epoch(val) [40][35/500] eta: 0:00:54 time: 0.1194 data_time: 0.0017 memory: 602 2022/08/25 23:12:10 - mmengine - INFO - Epoch(val) [40][40/500] eta: 0:00:53 time: 0.1156 data_time: 0.0018 memory: 602 2022/08/25 23:12:11 - mmengine - INFO - Epoch(val) [40][45/500] eta: 0:00:53 time: 0.1017 data_time: 0.0017 memory: 587 2022/08/25 23:12:11 - mmengine - INFO - Epoch(val) [40][50/500] eta: 0:00:52 time: 0.1160 data_time: 0.0017 memory: 587 2022/08/25 23:12:13 - mmengine - INFO - Epoch(val) [40][55/500] eta: 0:00:52 time: 0.1812 data_time: 0.0371 memory: 602 2022/08/25 23:12:13 - mmengine - INFO - Epoch(val) [40][60/500] eta: 0:01:23 time: 0.1899 data_time: 0.0384 memory: 602 2022/08/25 23:12:14 - mmengine - INFO - Epoch(val) [40][65/500] eta: 0:01:23 time: 0.1259 data_time: 0.0030 memory: 602 2022/08/25 23:12:14 - mmengine - INFO - Epoch(val) [40][70/500] eta: 0:00:46 time: 0.1090 data_time: 0.0016 memory: 602 2022/08/25 23:12:15 - mmengine - INFO - Epoch(val) [40][75/500] eta: 0:00:46 time: 0.1377 data_time: 0.0016 memory: 602 2022/08/25 23:12:16 - mmengine - INFO - Epoch(val) [40][80/500] eta: 0:01:05 time: 0.1566 data_time: 0.0016 memory: 602 2022/08/25 23:12:17 - mmengine - INFO - Epoch(val) [40][85/500] eta: 0:01:05 time: 0.1624 data_time: 0.0070 memory: 602 2022/08/25 23:12:18 - mmengine - INFO - Epoch(val) [40][90/500] eta: 0:01:03 time: 0.1543 data_time: 0.0070 memory: 587 2022/08/25 23:12:18 - mmengine - INFO - Epoch(val) [40][95/500] eta: 0:01:03 time: 0.1314 data_time: 0.0017 memory: 602 2022/08/25 23:12:19 - mmengine - INFO - Epoch(val) [40][100/500] eta: 0:00:44 time: 0.1121 data_time: 0.0018 memory: 602 2022/08/25 23:12:19 - mmengine - INFO - Epoch(val) [40][105/500] eta: 0:00:44 time: 0.1099 data_time: 0.0017 memory: 602 2022/08/25 23:12:20 - mmengine - INFO - Epoch(val) [40][110/500] eta: 0:00:38 time: 0.0985 data_time: 0.0015 memory: 602 2022/08/25 23:12:20 - mmengine - INFO - Epoch(val) [40][115/500] eta: 0:00:38 time: 0.0959 data_time: 0.0014 memory: 602 2022/08/25 23:12:21 - mmengine - INFO - Epoch(val) [40][120/500] eta: 0:00:54 time: 0.1432 data_time: 0.0015 memory: 602 2022/08/25 23:12:22 - mmengine - INFO - Epoch(val) [40][125/500] eta: 0:00:54 time: 0.2197 data_time: 0.0083 memory: 602 2022/08/25 23:12:23 - mmengine - INFO - Epoch(val) [40][130/500] eta: 0:01:12 time: 0.1957 data_time: 0.0102 memory: 602 2022/08/25 23:12:24 - mmengine - INFO - Epoch(val) [40][135/500] eta: 0:01:12 time: 0.1193 data_time: 0.0037 memory: 602 2022/08/25 23:12:24 - mmengine - INFO - Epoch(val) [40][140/500] eta: 0:00:47 time: 0.1319 data_time: 0.0018 memory: 587 2022/08/25 23:12:25 - mmengine - INFO - Epoch(val) [40][145/500] eta: 0:00:47 time: 0.1181 data_time: 0.0017 memory: 602 2022/08/25 23:12:25 - mmengine - INFO - Epoch(val) [40][150/500] eta: 0:00:32 time: 0.0939 data_time: 0.0019 memory: 587 2022/08/25 23:12:26 - mmengine - INFO - Epoch(val) [40][155/500] eta: 0:00:32 time: 0.1092 data_time: 0.0019 memory: 602 2022/08/25 23:12:26 - mmengine - INFO - Epoch(val) [40][160/500] eta: 0:00:35 time: 0.1045 data_time: 0.0018 memory: 602 2022/08/25 23:12:27 - mmengine - INFO - Epoch(val) [40][165/500] eta: 0:00:35 time: 0.1104 data_time: 0.0017 memory: 602 2022/08/25 23:12:28 - mmengine - INFO - Epoch(val) [40][170/500] eta: 0:00:41 time: 0.1254 data_time: 0.0017 memory: 587 2022/08/25 23:12:28 - mmengine - INFO - Epoch(val) [40][175/500] eta: 0:00:41 time: 0.0925 data_time: 0.0017 memory: 602 2022/08/25 23:12:29 - mmengine - INFO - Epoch(val) [40][180/500] eta: 0:00:33 time: 0.1033 data_time: 0.0017 memory: 602 2022/08/25 23:12:29 - mmengine - INFO - Epoch(val) [40][185/500] eta: 0:00:33 time: 0.1245 data_time: 0.0019 memory: 602 2022/08/25 23:12:30 - mmengine - INFO - Epoch(val) [40][190/500] eta: 0:00:35 time: 0.1140 data_time: 0.0019 memory: 602 2022/08/25 23:12:30 - mmengine - INFO - Epoch(val) [40][195/500] eta: 0:00:35 time: 0.1102 data_time: 0.0017 memory: 602 2022/08/25 23:12:31 - mmengine - INFO - Epoch(val) [40][200/500] eta: 0:00:32 time: 0.1095 data_time: 0.0018 memory: 602 2022/08/25 23:12:31 - mmengine - INFO - Epoch(val) [40][205/500] eta: 0:00:32 time: 0.1171 data_time: 0.0018 memory: 602 2022/08/25 23:12:34 - mmengine - INFO - Epoch(val) [40][210/500] eta: 0:01:18 time: 0.2698 data_time: 0.0193 memory: 602 2022/08/25 23:12:34 - mmengine - INFO - Epoch(val) [40][215/500] eta: 0:01:18 time: 0.2863 data_time: 0.0213 memory: 602 2022/08/25 23:12:35 - mmengine - INFO - Epoch(val) [40][220/500] eta: 0:00:39 time: 0.1394 data_time: 0.0090 memory: 587 2022/08/25 23:12:35 - mmengine - INFO - Epoch(val) [40][225/500] eta: 0:00:39 time: 0.1104 data_time: 0.0068 memory: 602 2022/08/25 23:12:37 - mmengine - INFO - Epoch(val) [40][230/500] eta: 0:00:46 time: 0.1728 data_time: 0.0017 memory: 602 2022/08/25 23:12:37 - mmengine - INFO - Epoch(val) [40][235/500] eta: 0:00:46 time: 0.1999 data_time: 0.0017 memory: 602 2022/08/25 23:12:38 - mmengine - INFO - Epoch(val) [40][240/500] eta: 0:00:32 time: 0.1237 data_time: 0.0015 memory: 602 2022/08/25 23:12:39 - mmengine - INFO - Epoch(val) [40][245/500] eta: 0:00:32 time: 0.1105 data_time: 0.0016 memory: 597 2022/08/25 23:12:39 - mmengine - INFO - Epoch(val) [40][250/500] eta: 0:00:26 time: 0.1073 data_time: 0.0017 memory: 602 2022/08/25 23:12:41 - mmengine - INFO - Epoch(val) [40][255/500] eta: 0:00:26 time: 0.1998 data_time: 0.0016 memory: 602 2022/08/25 23:12:41 - mmengine - INFO - Epoch(val) [40][260/500] eta: 0:00:47 time: 0.1964 data_time: 0.0017 memory: 602 2022/08/25 23:12:41 - mmengine - INFO - Epoch(val) [40][265/500] eta: 0:00:47 time: 0.0984 data_time: 0.0020 memory: 587 2022/08/25 23:12:42 - mmengine - INFO - Epoch(val) [40][270/500] eta: 0:00:30 time: 0.1313 data_time: 0.0020 memory: 602 2022/08/25 23:12:43 - mmengine - INFO - Epoch(val) [40][275/500] eta: 0:00:30 time: 0.1451 data_time: 0.0020 memory: 602 2022/08/25 23:12:43 - mmengine - INFO - Epoch(val) [40][280/500] eta: 0:00:22 time: 0.1011 data_time: 0.0019 memory: 592 2022/08/25 23:12:44 - mmengine - INFO - Epoch(val) [40][285/500] eta: 0:00:22 time: 0.0791 data_time: 0.0015 memory: 597 2022/08/25 23:12:44 - mmengine - INFO - Epoch(val) [40][290/500] eta: 0:00:22 time: 0.1080 data_time: 0.0016 memory: 587 2022/08/25 23:12:45 - mmengine - INFO - Epoch(val) [40][295/500] eta: 0:00:22 time: 0.1193 data_time: 0.0016 memory: 602 2022/08/25 23:12:45 - mmengine - INFO - Epoch(val) [40][300/500] eta: 0:00:21 time: 0.1085 data_time: 0.0015 memory: 602 2022/08/25 23:12:46 - mmengine - INFO - Epoch(val) [40][305/500] eta: 0:00:21 time: 0.0849 data_time: 0.0014 memory: 602 2022/08/25 23:12:46 - mmengine - INFO - Epoch(val) [40][310/500] eta: 0:00:15 time: 0.0805 data_time: 0.0014 memory: 602 2022/08/25 23:12:47 - mmengine - INFO - Epoch(val) [40][315/500] eta: 0:00:15 time: 0.1094 data_time: 0.0017 memory: 602 2022/08/25 23:12:47 - mmengine - INFO - Epoch(val) [40][320/500] eta: 0:00:22 time: 0.1248 data_time: 0.0019 memory: 602 2022/08/25 23:12:48 - mmengine - INFO - Epoch(val) [40][325/500] eta: 0:00:22 time: 0.1146 data_time: 0.0017 memory: 602 2022/08/25 23:12:49 - mmengine - INFO - Epoch(val) [40][330/500] eta: 0:00:21 time: 0.1267 data_time: 0.0139 memory: 602 2022/08/25 23:12:49 - mmengine - INFO - Epoch(val) [40][335/500] eta: 0:00:21 time: 0.1468 data_time: 0.0139 memory: 602 2022/08/25 23:12:50 - mmengine - INFO - Epoch(val) [40][340/500] eta: 0:00:23 time: 0.1448 data_time: 0.0016 memory: 602 2022/08/25 23:12:51 - mmengine - INFO - Epoch(val) [40][345/500] eta: 0:00:23 time: 0.1227 data_time: 0.0016 memory: 602 2022/08/25 23:12:51 - mmengine - INFO - Epoch(val) [40][350/500] eta: 0:00:17 time: 0.1187 data_time: 0.0016 memory: 602 2022/08/25 23:12:55 - mmengine - INFO - Epoch(val) [40][355/500] eta: 0:00:17 time: 0.4068 data_time: 0.0019 memory: 594 2022/08/25 23:12:55 - mmengine - INFO - Epoch(val) [40][360/500] eta: 0:00:54 time: 0.3888 data_time: 0.0019 memory: 602 2022/08/25 23:12:56 - mmengine - INFO - Epoch(val) [40][365/500] eta: 0:00:54 time: 0.1185 data_time: 0.0017 memory: 602 2022/08/25 23:12:56 - mmengine - INFO - Epoch(val) [40][370/500] eta: 0:00:14 time: 0.1103 data_time: 0.0016 memory: 602 2022/08/25 23:12:57 - mmengine - INFO - Epoch(val) [40][375/500] eta: 0:00:14 time: 0.0801 data_time: 0.0016 memory: 587 2022/08/25 23:12:57 - mmengine - INFO - Epoch(val) [40][380/500] eta: 0:00:12 time: 0.1012 data_time: 0.0016 memory: 602 2022/08/25 23:12:58 - mmengine - INFO - Epoch(val) [40][385/500] eta: 0:00:12 time: 0.1053 data_time: 0.0016 memory: 602 2022/08/25 23:12:59 - mmengine - INFO - Epoch(val) [40][390/500] eta: 0:00:12 time: 0.1137 data_time: 0.0018 memory: 602 2022/08/25 23:13:00 - mmengine - INFO - Epoch(val) [40][395/500] eta: 0:00:12 time: 0.1700 data_time: 0.0018 memory: 602 2022/08/25 23:13:00 - mmengine - INFO - Epoch(val) [40][400/500] eta: 0:00:17 time: 0.1781 data_time: 0.0017 memory: 602 2022/08/25 23:13:01 - mmengine - INFO - Epoch(val) [40][405/500] eta: 0:00:17 time: 0.1228 data_time: 0.0017 memory: 602 2022/08/25 23:13:01 - mmengine - INFO - Epoch(val) [40][410/500] eta: 0:00:09 time: 0.1027 data_time: 0.0018 memory: 602 2022/08/25 23:13:03 - mmengine - INFO - Epoch(val) [40][415/500] eta: 0:00:09 time: 0.1853 data_time: 0.0018 memory: 602 2022/08/25 23:13:03 - mmengine - INFO - Epoch(val) [40][420/500] eta: 0:00:15 time: 0.1992 data_time: 0.0017 memory: 602 2022/08/25 23:13:04 - mmengine - INFO - Epoch(val) [40][425/500] eta: 0:00:15 time: 0.1429 data_time: 0.0015 memory: 602 2022/08/25 23:13:05 - mmengine - INFO - Epoch(val) [40][430/500] eta: 0:00:08 time: 0.1235 data_time: 0.0016 memory: 602 2022/08/25 23:13:05 - mmengine - INFO - Epoch(val) [40][435/500] eta: 0:00:08 time: 0.1189 data_time: 0.0016 memory: 597 2022/08/25 23:13:06 - mmengine - INFO - Epoch(val) [40][440/500] eta: 0:00:08 time: 0.1395 data_time: 0.0017 memory: 602 2022/08/25 23:13:06 - mmengine - INFO - Epoch(val) [40][445/500] eta: 0:00:08 time: 0.1180 data_time: 0.0017 memory: 602 2022/08/25 23:13:07 - mmengine - INFO - Epoch(val) [40][450/500] eta: 0:00:04 time: 0.0875 data_time: 0.0015 memory: 602 2022/08/25 23:13:08 - mmengine - INFO - Epoch(val) [40][455/500] eta: 0:00:04 time: 0.1128 data_time: 0.0016 memory: 602 2022/08/25 23:13:08 - mmengine - INFO - Epoch(val) [40][460/500] eta: 0:00:04 time: 0.1213 data_time: 0.0016 memory: 597 2022/08/25 23:13:09 - mmengine - INFO - Epoch(val) [40][465/500] eta: 0:00:04 time: 0.1106 data_time: 0.0017 memory: 602 2022/08/25 23:13:09 - mmengine - INFO - Epoch(val) [40][470/500] eta: 0:00:03 time: 0.1101 data_time: 0.0019 memory: 602 2022/08/25 23:13:10 - mmengine - INFO - Epoch(val) [40][475/500] eta: 0:00:03 time: 0.1088 data_time: 0.0077 memory: 602 2022/08/25 23:13:10 - mmengine - INFO - Epoch(val) [40][480/500] eta: 0:00:01 time: 0.0977 data_time: 0.0076 memory: 587 2022/08/25 23:13:11 - mmengine - INFO - Epoch(val) [40][485/500] eta: 0:00:01 time: 0.0877 data_time: 0.0016 memory: 602 2022/08/25 23:13:11 - mmengine - INFO - Epoch(val) [40][490/500] eta: 0:00:00 time: 0.0906 data_time: 0.0015 memory: 602 2022/08/25 23:13:12 - mmengine - INFO - Epoch(val) [40][495/500] eta: 0:00:00 time: 0.0995 data_time: 0.0016 memory: 587 2022/08/25 23:13:14 - mmengine - INFO - Epoch(val) [40][500/500] eta: 0:00:00 time: 0.3031 data_time: 0.0234 memory: 587 2022/08/25 23:13:14 - mmengine - INFO - Evaluating hmean-iou... 2022/08/25 23:13:14 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7893, precision: 0.6770, hmean: 0.7288 2022/08/25 23:13:14 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7844, precision: 0.7230, hmean: 0.7525 2022/08/25 23:13:14 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7756, precision: 0.7547, hmean: 0.7650 2022/08/25 23:13:14 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7649, precision: 0.7840, hmean: 0.7743 2022/08/25 23:13:14 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7457, precision: 0.8117, hmean: 0.7773 2022/08/25 23:13:14 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7096, precision: 0.8464, hmean: 0.7720 2022/08/25 23:13:14 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.5951, precision: 0.8909, hmean: 0.7136 2022/08/25 23:13:14 - mmengine - INFO - Epoch(val) [40][500/500] icdar/precision: 0.8117 icdar/recall: 0.7457 icdar/hmean: 0.7773 2022/08/25 23:13:19 - mmengine - INFO - Epoch(train) [41][5/125] lr: 9.7595e-04 eta: 0:00:00 time: 0.6961 data_time: 0.0967 memory: 9483 loss_text: 0.9207 loss_center: 2.8326 loss_reg_x: 1.6091 loss_reg_y: 1.4489 loss: 6.8114 2022/08/25 23:13:21 - mmengine - INFO - Epoch(train) [41][10/125] lr: 9.7595e-04 eta: 1 day, 5:17:47 time: 0.7075 data_time: 0.0968 memory: 9483 loss_text: 0.8399 loss_center: 2.8274 loss_reg_x: 1.3441 loss_reg_y: 1.2060 loss: 6.2174 2022/08/25 23:13:24 - mmengine - INFO - Epoch(train) [41][15/125] lr: 9.7595e-04 eta: 1 day, 5:17:47 time: 0.5011 data_time: 0.0124 memory: 9483 loss_text: 0.8211 loss_center: 2.8325 loss_reg_x: 1.3739 loss_reg_y: 1.1043 loss: 6.1318 2022/08/25 23:13:26 - mmengine - INFO - Epoch(train) [41][20/125] lr: 9.7595e-04 eta: 1 day, 5:17:12 time: 0.4983 data_time: 0.0126 memory: 9483 loss_text: 0.9208 loss_center: 2.8578 loss_reg_x: 1.6863 loss_reg_y: 1.6252 loss: 7.0902 2022/08/25 23:13:29 - mmengine - INFO - Epoch(train) [41][25/125] lr: 9.7595e-04 eta: 1 day, 5:17:12 time: 0.4904 data_time: 0.0177 memory: 9483 loss_text: 1.0179 loss_center: 2.8500 loss_reg_x: 1.6583 loss_reg_y: 1.6551 loss: 7.1813 2022/08/25 23:13:31 - mmengine - INFO - Epoch(train) [41][30/125] lr: 9.7595e-04 eta: 1 day, 5:16:39 time: 0.5026 data_time: 0.0174 memory: 9483 loss_text: 0.9575 loss_center: 2.8313 loss_reg_x: 1.4397 loss_reg_y: 1.2905 loss: 6.5191 2022/08/25 23:13:35 - mmengine - INFO - Epoch(train) [41][35/125] lr: 9.7595e-04 eta: 1 day, 5:16:39 time: 0.6040 data_time: 0.0380 memory: 9483 loss_text: 0.9179 loss_center: 2.8338 loss_reg_x: 1.5741 loss_reg_y: 1.4337 loss: 6.7595 2022/08/25 23:13:37 - mmengine - INFO - Epoch(train) [41][40/125] lr: 9.7595e-04 eta: 1 day, 5:16:42 time: 0.6019 data_time: 0.0389 memory: 9483 loss_text: 0.8729 loss_center: 2.8434 loss_reg_x: 1.4836 loss_reg_y: 1.3414 loss: 6.5413 2022/08/25 23:13:40 - mmengine - INFO - Epoch(train) [41][45/125] lr: 9.7595e-04 eta: 1 day, 5:16:42 time: 0.5027 data_time: 0.0190 memory: 9483 loss_text: 0.9099 loss_center: 2.8271 loss_reg_x: 1.3552 loss_reg_y: 1.2349 loss: 6.3271 2022/08/25 23:13:43 - mmengine - INFO - Epoch(train) [41][50/125] lr: 9.7595e-04 eta: 1 day, 5:16:24 time: 0.5441 data_time: 0.0179 memory: 9483 loss_text: 0.9859 loss_center: 2.8026 loss_reg_x: 1.6204 loss_reg_y: 1.3252 loss: 6.7342 2022/08/25 23:13:45 - mmengine - INFO - Epoch(train) [41][55/125] lr: 9.7595e-04 eta: 1 day, 5:16:24 time: 0.5520 data_time: 0.0136 memory: 9483 loss_text: 1.0519 loss_center: 2.8251 loss_reg_x: 1.7752 loss_reg_y: 1.5152 loss: 7.1673 2022/08/25 23:13:48 - mmengine - INFO - Epoch(train) [41][60/125] lr: 9.7595e-04 eta: 1 day, 5:15:48 time: 0.4916 data_time: 0.0140 memory: 9483 loss_text: 1.0658 loss_center: 2.8373 loss_reg_x: 1.7253 loss_reg_y: 1.6980 loss: 7.3263 2022/08/25 23:13:50 - mmengine - INFO - Epoch(train) [41][65/125] lr: 9.7595e-04 eta: 1 day, 5:15:48 time: 0.4979 data_time: 0.0172 memory: 9483 loss_text: 1.0594 loss_center: 2.8510 loss_reg_x: 1.7969 loss_reg_y: 1.6976 loss: 7.4048 2022/08/25 23:13:55 - mmengine - INFO - Epoch(train) [41][70/125] lr: 9.7595e-04 eta: 1 day, 5:16:22 time: 0.6890 data_time: 0.0412 memory: 9483 loss_text: 1.0622 loss_center: 2.8401 loss_reg_x: 1.9179 loss_reg_y: 1.7227 loss: 7.5428 2022/08/25 23:13:57 - mmengine - INFO - Epoch(train) [41][75/125] lr: 9.7595e-04 eta: 1 day, 5:16:22 time: 0.6801 data_time: 0.0373 memory: 9483 loss_text: 1.0854 loss_center: 2.8376 loss_reg_x: 2.2319 loss_reg_y: 1.8620 loss: 8.0169 2022/08/25 23:14:00 - mmengine - INFO - Epoch(train) [41][80/125] lr: 9.7595e-04 eta: 1 day, 5:15:43 time: 0.4855 data_time: 0.0138 memory: 9483 loss_text: 1.1868 loss_center: 2.8546 loss_reg_x: 2.3037 loss_reg_y: 1.8234 loss: 8.1685 2022/08/25 23:14:02 - mmengine - INFO - Epoch(train) [41][85/125] lr: 9.7595e-04 eta: 1 day, 5:15:43 time: 0.4641 data_time: 0.0160 memory: 9483 loss_text: 1.2554 loss_center: 2.8601 loss_reg_x: 1.9710 loss_reg_y: 1.7681 loss: 7.8546 2022/08/25 23:14:05 - mmengine - INFO - Epoch(train) [41][90/125] lr: 9.7595e-04 eta: 1 day, 5:15:16 time: 0.5181 data_time: 0.0160 memory: 9483 loss_text: 1.1934 loss_center: 2.8660 loss_reg_x: 1.8245 loss_reg_y: 1.8385 loss: 7.7223 2022/08/25 23:14:08 - mmengine - INFO - Epoch(train) [41][95/125] lr: 9.7595e-04 eta: 1 day, 5:15:16 time: 0.5733 data_time: 0.0129 memory: 9483 loss_text: 1.0729 loss_center: 2.8240 loss_reg_x: 1.7573 loss_reg_y: 1.6540 loss: 7.3082 2022/08/25 23:14:10 - mmengine - INFO - Epoch(train) [41][100/125] lr: 9.7595e-04 eta: 1 day, 5:14:52 time: 0.5263 data_time: 0.0132 memory: 9483 loss_text: 1.0264 loss_center: 2.8085 loss_reg_x: 1.6111 loss_reg_y: 1.4379 loss: 6.8840 2022/08/25 23:14:14 - mmengine - INFO - Epoch(train) [41][105/125] lr: 9.7595e-04 eta: 1 day, 5:14:52 time: 0.5766 data_time: 0.0448 memory: 9483 loss_text: 1.1552 loss_center: 2.8467 loss_reg_x: 1.7975 loss_reg_y: 1.7468 loss: 7.5461 2022/08/25 23:14:17 - mmengine - INFO - Epoch(train) [41][110/125] lr: 9.7595e-04 eta: 1 day, 5:15:25 time: 0.6865 data_time: 0.0963 memory: 9483 loss_text: 1.2278 loss_center: 2.8652 loss_reg_x: 2.2568 loss_reg_y: 2.1713 loss: 8.5210 2022/08/25 23:14:19 - mmengine - INFO - Epoch(train) [41][115/125] lr: 9.7595e-04 eta: 1 day, 5:15:25 time: 0.6143 data_time: 0.0675 memory: 9483 loss_text: 1.0967 loss_center: 2.8613 loss_reg_x: 2.1583 loss_reg_y: 2.1821 loss: 8.2984 2022/08/25 23:14:22 - mmengine - INFO - Epoch(train) [41][120/125] lr: 9.7595e-04 eta: 1 day, 5:15:03 time: 0.5299 data_time: 0.0148 memory: 9483 loss_text: 1.1389 loss_center: 2.8826 loss_reg_x: 2.0624 loss_reg_y: 2.0846 loss: 8.1685 2022/08/25 23:14:25 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:14:25 - mmengine - INFO - Epoch(train) [41][125/125] lr: 9.7595e-04 eta: 1 day, 5:15:03 time: 0.5605 data_time: 0.0139 memory: 9483 loss_text: 1.1030 loss_center: 2.8644 loss_reg_x: 1.9692 loss_reg_y: 1.6084 loss: 7.5450 2022/08/25 23:14:28 - mmengine - INFO - Epoch(train) [42][5/125] lr: 9.7535e-04 eta: 1 day, 5:15:03 time: 0.6125 data_time: 0.0789 memory: 9483 loss_text: 1.1275 loss_center: 2.8517 loss_reg_x: 2.0642 loss_reg_y: 1.5025 loss: 7.5460 2022/08/25 23:14:31 - mmengine - INFO - Epoch(train) [42][10/125] lr: 9.7535e-04 eta: 1 day, 5:13:02 time: 0.5506 data_time: 0.0756 memory: 9483 loss_text: 1.1410 loss_center: 2.8660 loss_reg_x: 2.0562 loss_reg_y: 1.6679 loss: 7.7311 2022/08/25 23:14:33 - mmengine - INFO - Epoch(train) [42][15/125] lr: 9.7535e-04 eta: 1 day, 5:13:02 time: 0.5027 data_time: 0.0300 memory: 9483 loss_text: 0.9872 loss_center: 2.8524 loss_reg_x: 1.9397 loss_reg_y: 1.5128 loss: 7.2922 2022/08/25 23:14:36 - mmengine - INFO - Epoch(train) [42][20/125] lr: 9.7535e-04 eta: 1 day, 5:12:35 time: 0.5165 data_time: 0.0340 memory: 9483 loss_text: 0.9686 loss_center: 2.8469 loss_reg_x: 2.0981 loss_reg_y: 1.4713 loss: 7.3849 2022/08/25 23:14:38 - mmengine - INFO - Epoch(train) [42][25/125] lr: 9.7535e-04 eta: 1 day, 5:12:35 time: 0.4932 data_time: 0.0153 memory: 9483 loss_text: 0.9795 loss_center: 2.8425 loss_reg_x: 1.9341 loss_reg_y: 1.4991 loss: 7.2551 2022/08/25 23:14:41 - mmengine - INFO - Epoch(train) [42][30/125] lr: 9.7535e-04 eta: 1 day, 5:12:13 time: 0.5303 data_time: 0.0129 memory: 9483 loss_text: 1.0477 loss_center: 2.8519 loss_reg_x: 1.8979 loss_reg_y: 1.6617 loss: 7.4591 2022/08/25 23:14:45 - mmengine - INFO - Epoch(train) [42][35/125] lr: 9.7535e-04 eta: 1 day, 5:12:13 time: 0.6277 data_time: 0.0122 memory: 9483 loss_text: 1.0500 loss_center: 2.8469 loss_reg_x: 1.8155 loss_reg_y: 1.5755 loss: 7.2879 2022/08/25 23:14:47 - mmengine - INFO - Epoch(train) [42][40/125] lr: 9.7535e-04 eta: 1 day, 5:12:12 time: 0.5913 data_time: 0.0142 memory: 9483 loss_text: 1.0303 loss_center: 2.8430 loss_reg_x: 1.8435 loss_reg_y: 1.4454 loss: 7.1622 2022/08/25 23:14:50 - mmengine - INFO - Epoch(train) [42][45/125] lr: 9.7535e-04 eta: 1 day, 5:12:12 time: 0.5084 data_time: 0.0156 memory: 9483 loss_text: 0.9719 loss_center: 2.8480 loss_reg_x: 1.9018 loss_reg_y: 1.6179 loss: 7.3396 2022/08/25 23:14:53 - mmengine - INFO - Epoch(train) [42][50/125] lr: 9.7535e-04 eta: 1 day, 5:11:57 time: 0.5511 data_time: 0.0138 memory: 9483 loss_text: 0.9650 loss_center: 2.8476 loss_reg_x: 1.9695 loss_reg_y: 1.9117 loss: 7.6937 2022/08/25 23:14:56 - mmengine - INFO - Epoch(train) [42][55/125] lr: 9.7535e-04 eta: 1 day, 5:11:57 time: 0.6319 data_time: 0.0440 memory: 9483 loss_text: 1.0562 loss_center: 2.8299 loss_reg_x: 1.7844 loss_reg_y: 1.6430 loss: 7.3135 2022/08/25 23:14:59 - mmengine - INFO - Epoch(train) [42][60/125] lr: 9.7535e-04 eta: 1 day, 5:12:01 time: 0.6039 data_time: 0.0465 memory: 9483 loss_text: 0.9843 loss_center: 2.7645 loss_reg_x: 1.5902 loss_reg_y: 1.4961 loss: 6.8351 2022/08/25 23:15:01 - mmengine - INFO - Epoch(train) [42][65/125] lr: 9.7535e-04 eta: 1 day, 5:12:01 time: 0.5328 data_time: 0.0158 memory: 9483 loss_text: 0.9129 loss_center: 2.7494 loss_reg_x: 1.6487 loss_reg_y: 1.5991 loss: 6.9100 2022/08/25 23:15:04 - mmengine - INFO - Epoch(train) [42][70/125] lr: 9.7535e-04 eta: 1 day, 5:11:49 time: 0.5582 data_time: 0.0186 memory: 9483 loss_text: 0.9546 loss_center: 2.8023 loss_reg_x: 1.5796 loss_reg_y: 1.4466 loss: 6.7831 2022/08/25 23:15:07 - mmengine - INFO - Epoch(train) [42][75/125] lr: 9.7535e-04 eta: 1 day, 5:11:49 time: 0.5265 data_time: 0.0178 memory: 9483 loss_text: 0.9682 loss_center: 2.8358 loss_reg_x: 1.5921 loss_reg_y: 1.5682 loss: 6.9643 2022/08/25 23:15:09 - mmengine - INFO - Epoch(train) [42][80/125] lr: 9.7535e-04 eta: 1 day, 5:11:13 time: 0.4898 data_time: 0.0142 memory: 9483 loss_text: 1.0160 loss_center: 2.8330 loss_reg_x: 1.6560 loss_reg_y: 1.5310 loss: 7.0360 2022/08/25 23:15:12 - mmengine - INFO - Epoch(train) [42][85/125] lr: 9.7535e-04 eta: 1 day, 5:11:13 time: 0.5144 data_time: 0.0146 memory: 9483 loss_text: 0.9566 loss_center: 2.8173 loss_reg_x: 1.6049 loss_reg_y: 1.4244 loss: 6.8031 2022/08/25 23:15:16 - mmengine - INFO - Epoch(train) [42][90/125] lr: 9.7535e-04 eta: 1 day, 5:11:53 time: 0.7073 data_time: 0.0169 memory: 9483 loss_text: 0.8583 loss_center: 2.8313 loss_reg_x: 1.5828 loss_reg_y: 1.5386 loss: 6.8111 2022/08/25 23:15:19 - mmengine - INFO - Epoch(train) [42][95/125] lr: 9.7535e-04 eta: 1 day, 5:11:53 time: 0.6844 data_time: 0.0181 memory: 9483 loss_text: 1.0662 loss_center: 2.8577 loss_reg_x: 1.6605 loss_reg_y: 1.6854 loss: 7.2698 2022/08/25 23:15:21 - mmengine - INFO - Epoch(train) [42][100/125] lr: 9.7535e-04 eta: 1 day, 5:11:20 time: 0.4989 data_time: 0.0161 memory: 9483 loss_text: 1.1878 loss_center: 2.8746 loss_reg_x: 1.9442 loss_reg_y: 1.9988 loss: 8.0053 2022/08/25 23:15:24 - mmengine - INFO - Epoch(train) [42][105/125] lr: 9.7535e-04 eta: 1 day, 5:11:20 time: 0.5534 data_time: 0.0151 memory: 9483 loss_text: 1.0088 loss_center: 2.8561 loss_reg_x: 1.9507 loss_reg_y: 1.8597 loss: 7.6753 2022/08/25 23:15:27 - mmengine - INFO - Epoch(train) [42][110/125] lr: 9.7535e-04 eta: 1 day, 5:11:12 time: 0.5717 data_time: 0.0156 memory: 9483 loss_text: 0.9195 loss_center: 2.8240 loss_reg_x: 1.5139 loss_reg_y: 1.2391 loss: 6.4964 2022/08/25 23:15:29 - mmengine - INFO - Epoch(train) [42][115/125] lr: 9.7535e-04 eta: 1 day, 5:11:12 time: 0.5364 data_time: 0.0150 memory: 9483 loss_text: 0.9174 loss_center: 2.7852 loss_reg_x: 1.4399 loss_reg_y: 1.4394 loss: 6.5819 2022/08/25 23:15:32 - mmengine - INFO - Epoch(train) [42][120/125] lr: 9.7535e-04 eta: 1 day, 5:10:45 time: 0.5131 data_time: 0.0148 memory: 9483 loss_text: 0.8745 loss_center: 2.7928 loss_reg_x: 1.4689 loss_reg_y: 1.5377 loss: 6.6739 2022/08/25 23:15:38 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:15:38 - mmengine - INFO - Epoch(train) [42][125/125] lr: 9.7535e-04 eta: 1 day, 5:10:45 time: 0.8144 data_time: 0.0153 memory: 9483 loss_text: 0.9180 loss_center: 2.8331 loss_reg_x: 1.6191 loss_reg_y: 1.4000 loss: 6.7702 2022/08/25 23:15:41 - mmengine - INFO - Epoch(train) [43][5/125] lr: 9.7475e-04 eta: 1 day, 5:10:45 time: 0.8671 data_time: 0.0622 memory: 9483 loss_text: 0.9385 loss_center: 2.8345 loss_reg_x: 1.6746 loss_reg_y: 1.5726 loss: 7.0203 2022/08/25 23:15:44 - mmengine - INFO - Epoch(train) [43][10/125] lr: 9.7475e-04 eta: 1 day, 5:09:14 time: 0.6266 data_time: 0.0625 memory: 9483 loss_text: 0.8964 loss_center: 2.8388 loss_reg_x: 1.7269 loss_reg_y: 1.5300 loss: 6.9921 2022/08/25 23:15:47 - mmengine - INFO - Epoch(train) [43][15/125] lr: 9.7475e-04 eta: 1 day, 5:09:14 time: 0.5877 data_time: 0.0132 memory: 9483 loss_text: 0.9428 loss_center: 2.8266 loss_reg_x: 2.0563 loss_reg_y: 1.6733 loss: 7.4990 2022/08/25 23:15:49 - mmengine - INFO - Epoch(train) [43][20/125] lr: 9.7475e-04 eta: 1 day, 5:09:01 time: 0.5573 data_time: 0.0128 memory: 9483 loss_text: 0.9663 loss_center: 2.8025 loss_reg_x: 1.7908 loss_reg_y: 1.6489 loss: 7.2085 2022/08/25 23:15:52 - mmengine - INFO - Epoch(train) [43][25/125] lr: 9.7475e-04 eta: 1 day, 5:09:01 time: 0.5510 data_time: 0.0135 memory: 9483 loss_text: 0.9750 loss_center: 2.8116 loss_reg_x: 1.7546 loss_reg_y: 1.5509 loss: 7.0921 2022/08/25 23:15:55 - mmengine - INFO - Epoch(train) [43][30/125] lr: 9.7475e-04 eta: 1 day, 5:08:44 time: 0.5417 data_time: 0.0191 memory: 9483 loss_text: 0.9637 loss_center: 2.8264 loss_reg_x: 1.7618 loss_reg_y: 1.4080 loss: 6.9600 2022/08/25 23:15:57 - mmengine - INFO - Epoch(train) [43][35/125] lr: 9.7475e-04 eta: 1 day, 5:08:44 time: 0.5157 data_time: 0.0181 memory: 9483 loss_text: 0.9489 loss_center: 2.8262 loss_reg_x: 1.4300 loss_reg_y: 1.2207 loss: 6.4258 2022/08/25 23:16:00 - mmengine - INFO - Epoch(train) [43][40/125] lr: 9.7475e-04 eta: 1 day, 5:08:04 time: 0.4768 data_time: 0.0127 memory: 9483 loss_text: 1.0201 loss_center: 2.8481 loss_reg_x: 1.4867 loss_reg_y: 1.3964 loss: 6.7513 2022/08/25 23:16:02 - mmengine - INFO - Epoch(train) [43][45/125] lr: 9.7475e-04 eta: 1 day, 5:08:04 time: 0.4879 data_time: 0.0138 memory: 9483 loss_text: 0.9810 loss_center: 2.8556 loss_reg_x: 1.5233 loss_reg_y: 1.5071 loss: 6.8670 2022/08/25 23:16:07 - mmengine - INFO - Epoch(train) [43][50/125] lr: 9.7475e-04 eta: 1 day, 5:08:39 time: 0.6956 data_time: 0.0263 memory: 9483 loss_text: 0.9373 loss_center: 2.8419 loss_reg_x: 1.5052 loss_reg_y: 1.5489 loss: 6.8333 2022/08/25 23:16:09 - mmengine - INFO - Epoch(train) [43][55/125] lr: 9.7475e-04 eta: 1 day, 5:08:39 time: 0.7046 data_time: 0.0259 memory: 9483 loss_text: 1.0173 loss_center: 2.8447 loss_reg_x: 1.5660 loss_reg_y: 1.5613 loss: 6.9893 2022/08/25 23:16:12 - mmengine - INFO - Epoch(train) [43][60/125] lr: 9.7475e-04 eta: 1 day, 5:08:13 time: 0.5155 data_time: 0.0133 memory: 9483 loss_text: 1.1330 loss_center: 2.8519 loss_reg_x: 1.7574 loss_reg_y: 1.5411 loss: 7.2834 2022/08/25 23:16:14 - mmengine - INFO - Epoch(train) [43][65/125] lr: 9.7475e-04 eta: 1 day, 5:08:13 time: 0.5188 data_time: 0.0230 memory: 9483 loss_text: 1.1023 loss_center: 2.8332 loss_reg_x: 1.7941 loss_reg_y: 1.4075 loss: 7.1372 2022/08/25 23:16:17 - mmengine - INFO - Epoch(train) [43][70/125] lr: 9.7475e-04 eta: 1 day, 5:07:41 time: 0.4979 data_time: 0.0251 memory: 9483 loss_text: 0.9303 loss_center: 2.8326 loss_reg_x: 1.6350 loss_reg_y: 1.3566 loss: 6.7545 2022/08/25 23:16:19 - mmengine - INFO - Epoch(train) [43][75/125] lr: 9.7475e-04 eta: 1 day, 5:07:41 time: 0.4965 data_time: 0.0159 memory: 9483 loss_text: 0.9956 loss_center: 2.8365 loss_reg_x: 1.8862 loss_reg_y: 1.7353 loss: 7.4535 2022/08/25 23:16:22 - mmengine - INFO - Epoch(train) [43][80/125] lr: 9.7475e-04 eta: 1 day, 5:07:05 time: 0.4879 data_time: 0.0134 memory: 9483 loss_text: 1.0735 loss_center: 2.8298 loss_reg_x: 1.9621 loss_reg_y: 1.8967 loss: 7.7621 2022/08/25 23:16:28 - mmengine - INFO - Epoch(train) [43][85/125] lr: 9.7475e-04 eta: 1 day, 5:07:05 time: 0.9124 data_time: 0.0123 memory: 9483 loss_text: 1.0203 loss_center: 2.8486 loss_reg_x: 1.7541 loss_reg_y: 1.6904 loss: 7.3134 2022/08/25 23:16:31 - mmengine - INFO - Epoch(train) [43][90/125] lr: 9.7475e-04 eta: 1 day, 5:09:11 time: 0.9612 data_time: 0.0190 memory: 9483 loss_text: 0.9654 loss_center: 2.8352 loss_reg_x: 1.8393 loss_reg_y: 1.4433 loss: 7.0832 2022/08/25 23:16:34 - mmengine - INFO - Epoch(train) [43][95/125] lr: 9.7475e-04 eta: 1 day, 5:09:11 time: 0.5531 data_time: 0.0355 memory: 9483 loss_text: 0.9606 loss_center: 2.8227 loss_reg_x: 2.0252 loss_reg_y: 1.6256 loss: 7.4342 2022/08/25 23:16:36 - mmengine - INFO - Epoch(train) [43][100/125] lr: 9.7475e-04 eta: 1 day, 5:08:48 time: 0.5258 data_time: 0.0288 memory: 9483 loss_text: 0.9268 loss_center: 2.8225 loss_reg_x: 1.9093 loss_reg_y: 1.6505 loss: 7.3091 2022/08/25 23:16:39 - mmengine - INFO - Epoch(train) [43][105/125] lr: 9.7475e-04 eta: 1 day, 5:08:48 time: 0.5116 data_time: 0.0132 memory: 9483 loss_text: 0.8843 loss_center: 2.7981 loss_reg_x: 1.5408 loss_reg_y: 1.3689 loss: 6.5921 2022/08/25 23:16:42 - mmengine - INFO - Epoch(train) [43][110/125] lr: 9.7475e-04 eta: 1 day, 5:08:23 time: 0.5216 data_time: 0.0179 memory: 9483 loss_text: 0.9028 loss_center: 2.7813 loss_reg_x: 1.3912 loss_reg_y: 1.2334 loss: 6.3088 2022/08/25 23:16:46 - mmengine - INFO - Epoch(train) [43][115/125] lr: 9.7475e-04 eta: 1 day, 5:08:23 time: 0.7082 data_time: 0.0194 memory: 9483 loss_text: 0.9426 loss_center: 2.8157 loss_reg_x: 1.4852 loss_reg_y: 1.5246 loss: 6.7682 2022/08/25 23:16:49 - mmengine - INFO - Epoch(train) [43][120/125] lr: 9.7475e-04 eta: 1 day, 5:09:03 time: 0.7091 data_time: 0.0149 memory: 9483 loss_text: 0.9319 loss_center: 2.8411 loss_reg_x: 1.5686 loss_reg_y: 1.6937 loss: 7.0354 2022/08/25 23:16:51 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:16:51 - mmengine - INFO - Epoch(train) [43][125/125] lr: 9.7475e-04 eta: 1 day, 5:09:03 time: 0.5227 data_time: 0.0123 memory: 9483 loss_text: 0.8744 loss_center: 2.8261 loss_reg_x: 1.5217 loss_reg_y: 1.6019 loss: 6.8241 2022/08/25 23:16:55 - mmengine - INFO - Epoch(train) [44][5/125] lr: 9.7415e-04 eta: 1 day, 5:09:03 time: 0.6360 data_time: 0.0729 memory: 9483 loss_text: 0.8656 loss_center: 2.8156 loss_reg_x: 1.3296 loss_reg_y: 1.4021 loss: 6.4129 2022/08/25 23:16:58 - mmengine - INFO - Epoch(train) [44][10/125] lr: 9.7415e-04 eta: 1 day, 5:07:33 time: 0.6232 data_time: 0.0732 memory: 9483 loss_text: 0.8197 loss_center: 2.8288 loss_reg_x: 1.2575 loss_reg_y: 1.1756 loss: 6.0817 2022/08/25 23:17:00 - mmengine - INFO - Epoch(train) [44][15/125] lr: 9.7415e-04 eta: 1 day, 5:07:33 time: 0.5035 data_time: 0.0117 memory: 9483 loss_text: 0.8609 loss_center: 2.8346 loss_reg_x: 1.6729 loss_reg_y: 1.5478 loss: 6.9162 2022/08/25 23:17:03 - mmengine - INFO - Epoch(train) [44][20/125] lr: 9.7415e-04 eta: 1 day, 5:07:28 time: 0.5803 data_time: 0.0116 memory: 9483 loss_text: 0.9702 loss_center: 2.8484 loss_reg_x: 1.8769 loss_reg_y: 1.6566 loss: 7.3520 2022/08/25 23:17:06 - mmengine - INFO - Epoch(train) [44][25/125] lr: 9.7415e-04 eta: 1 day, 5:07:28 time: 0.5832 data_time: 0.0167 memory: 9483 loss_text: 0.9933 loss_center: 2.8662 loss_reg_x: 1.8230 loss_reg_y: 1.6584 loss: 7.3409 2022/08/25 23:17:09 - mmengine - INFO - Epoch(train) [44][30/125] lr: 9.7415e-04 eta: 1 day, 5:07:04 time: 0.5195 data_time: 0.0164 memory: 9483 loss_text: 0.9537 loss_center: 2.8363 loss_reg_x: 1.7201 loss_reg_y: 1.5613 loss: 7.0714 2022/08/25 23:17:11 - mmengine - INFO - Epoch(train) [44][35/125] lr: 9.7415e-04 eta: 1 day, 5:07:04 time: 0.4856 data_time: 0.0120 memory: 9483 loss_text: 1.0512 loss_center: 2.8414 loss_reg_x: 1.6390 loss_reg_y: 1.4875 loss: 7.0189 2022/08/25 23:17:14 - mmengine - INFO - Epoch(train) [44][40/125] lr: 9.7415e-04 eta: 1 day, 5:06:29 time: 0.4896 data_time: 0.0119 memory: 9483 loss_text: 1.0406 loss_center: 2.8568 loss_reg_x: 1.5788 loss_reg_y: 1.4569 loss: 6.9331 2022/08/25 23:17:16 - mmengine - INFO - Epoch(train) [44][45/125] lr: 9.7415e-04 eta: 1 day, 5:06:29 time: 0.5131 data_time: 0.0150 memory: 9483 loss_text: 0.9036 loss_center: 2.8197 loss_reg_x: 1.3066 loss_reg_y: 1.3508 loss: 6.3808 2022/08/25 23:17:18 - mmengine - INFO - Epoch(train) [44][50/125] lr: 9.7415e-04 eta: 1 day, 5:05:55 time: 0.4916 data_time: 0.0151 memory: 9483 loss_text: 0.8748 loss_center: 2.7973 loss_reg_x: 1.3621 loss_reg_y: 1.3901 loss: 6.4243 2022/08/25 23:17:21 - mmengine - INFO - Epoch(train) [44][55/125] lr: 9.7415e-04 eta: 1 day, 5:05:55 time: 0.4861 data_time: 0.0132 memory: 9483 loss_text: 0.9189 loss_center: 2.8155 loss_reg_x: 1.6083 loss_reg_y: 1.3727 loss: 6.7154 2022/08/25 23:17:26 - mmengine - INFO - Epoch(train) [44][60/125] lr: 9.7415e-04 eta: 1 day, 5:06:34 time: 0.7090 data_time: 0.0164 memory: 9483 loss_text: 1.0137 loss_center: 2.8351 loss_reg_x: 1.7519 loss_reg_y: 1.3768 loss: 6.9776 2022/08/25 23:17:28 - mmengine - INFO - Epoch(train) [44][65/125] lr: 9.7415e-04 eta: 1 day, 5:06:34 time: 0.7239 data_time: 0.0174 memory: 9483 loss_text: 1.0773 loss_center: 2.8496 loss_reg_x: 1.9396 loss_reg_y: 1.6165 loss: 7.4831 2022/08/25 23:17:31 - mmengine - INFO - Epoch(train) [44][70/125] lr: 9.7415e-04 eta: 1 day, 5:06:10 time: 0.5200 data_time: 0.0143 memory: 9483 loss_text: 1.0342 loss_center: 2.8452 loss_reg_x: 2.0326 loss_reg_y: 1.8089 loss: 7.7209 2022/08/25 23:17:34 - mmengine - INFO - Epoch(train) [44][75/125] lr: 9.7415e-04 eta: 1 day, 5:06:10 time: 0.5544 data_time: 0.0313 memory: 9483 loss_text: 1.0100 loss_center: 2.7942 loss_reg_x: 1.9315 loss_reg_y: 1.8742 loss: 7.6100 2022/08/25 23:17:36 - mmengine - INFO - Epoch(train) [44][80/125] lr: 9.7415e-04 eta: 1 day, 5:05:51 time: 0.5355 data_time: 0.0319 memory: 9483 loss_text: 1.0833 loss_center: 2.7330 loss_reg_x: 1.7834 loss_reg_y: 1.8332 loss: 7.4329 2022/08/25 23:17:38 - mmengine - INFO - Epoch(train) [44][85/125] lr: 9.7415e-04 eta: 1 day, 5:05:51 time: 0.4752 data_time: 0.0159 memory: 9483 loss_text: 1.1382 loss_center: 2.7864 loss_reg_x: 1.8766 loss_reg_y: 1.7153 loss: 7.5166 2022/08/25 23:17:41 - mmengine - INFO - Epoch(train) [44][90/125] lr: 9.7415e-04 eta: 1 day, 5:05:09 time: 0.4666 data_time: 0.0158 memory: 9483 loss_text: 1.1144 loss_center: 2.8653 loss_reg_x: 1.9447 loss_reg_y: 1.7945 loss: 7.7189 2022/08/25 23:17:43 - mmengine - INFO - Epoch(train) [44][95/125] lr: 9.7415e-04 eta: 1 day, 5:05:09 time: 0.5041 data_time: 0.0156 memory: 9483 loss_text: 0.9917 loss_center: 2.8539 loss_reg_x: 1.6236 loss_reg_y: 1.6431 loss: 7.1123 2022/08/25 23:17:46 - mmengine - INFO - Epoch(train) [44][100/125] lr: 9.7415e-04 eta: 1 day, 5:04:55 time: 0.5520 data_time: 0.0172 memory: 9483 loss_text: 0.9285 loss_center: 2.8392 loss_reg_x: 1.4318 loss_reg_y: 1.4240 loss: 6.6234 2022/08/25 23:17:49 - mmengine - INFO - Epoch(train) [44][105/125] lr: 9.7415e-04 eta: 1 day, 5:04:55 time: 0.5378 data_time: 0.0164 memory: 9483 loss_text: 0.9583 loss_center: 2.8412 loss_reg_x: 1.5150 loss_reg_y: 1.5350 loss: 6.8495 2022/08/25 23:17:51 - mmengine - INFO - Epoch(train) [44][110/125] lr: 9.7415e-04 eta: 1 day, 5:04:30 time: 0.5171 data_time: 0.0145 memory: 9483 loss_text: 1.0040 loss_center: 2.8315 loss_reg_x: 1.6212 loss_reg_y: 1.4249 loss: 6.8816 2022/08/25 23:17:55 - mmengine - INFO - Epoch(train) [44][115/125] lr: 9.7415e-04 eta: 1 day, 5:04:30 time: 0.6529 data_time: 0.0158 memory: 9483 loss_text: 0.9277 loss_center: 2.7480 loss_reg_x: 1.5481 loss_reg_y: 1.3343 loss: 6.5581 2022/08/25 23:17:58 - mmengine - INFO - Epoch(train) [44][120/125] lr: 9.7415e-04 eta: 1 day, 5:04:53 time: 0.6625 data_time: 0.0170 memory: 9483 loss_text: 0.8485 loss_center: 2.7507 loss_reg_x: 1.4199 loss_reg_y: 1.3339 loss: 6.3530 2022/08/25 23:18:01 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:18:01 - mmengine - INFO - Epoch(train) [44][125/125] lr: 9.7415e-04 eta: 1 day, 5:04:53 time: 0.5580 data_time: 0.0154 memory: 9483 loss_text: 0.9081 loss_center: 2.8035 loss_reg_x: 1.5872 loss_reg_y: 1.2013 loss: 6.5000 2022/08/25 23:18:07 - mmengine - INFO - Epoch(train) [45][5/125] lr: 9.7355e-04 eta: 1 day, 5:04:53 time: 0.8781 data_time: 0.1024 memory: 9483 loss_text: 0.9327 loss_center: 2.8042 loss_reg_x: 1.5986 loss_reg_y: 1.3023 loss: 6.6378 2022/08/25 23:18:09 - mmengine - INFO - Epoch(train) [45][10/125] lr: 9.7355e-04 eta: 1 day, 5:04:38 time: 0.8420 data_time: 0.1010 memory: 9483 loss_text: 0.9814 loss_center: 2.8320 loss_reg_x: 1.4108 loss_reg_y: 1.3579 loss: 6.5822 2022/08/25 23:18:12 - mmengine - INFO - Epoch(train) [45][15/125] lr: 9.7355e-04 eta: 1 day, 5:04:38 time: 0.5110 data_time: 0.0149 memory: 9483 loss_text: 0.9326 loss_center: 2.8082 loss_reg_x: 1.3656 loss_reg_y: 1.3423 loss: 6.4487 2022/08/25 23:18:15 - mmengine - INFO - Epoch(train) [45][20/125] lr: 9.7355e-04 eta: 1 day, 5:04:28 time: 0.5635 data_time: 0.0149 memory: 9483 loss_text: 0.8297 loss_center: 2.8120 loss_reg_x: 1.3598 loss_reg_y: 1.3450 loss: 6.3465 2022/08/25 23:18:18 - mmengine - INFO - Epoch(train) [45][25/125] lr: 9.7355e-04 eta: 1 day, 5:04:28 time: 0.5670 data_time: 0.0130 memory: 9483 loss_text: 0.9146 loss_center: 2.8466 loss_reg_x: 1.4724 loss_reg_y: 1.4005 loss: 6.6341 2022/08/25 23:18:20 - mmengine - INFO - Epoch(train) [45][30/125] lr: 9.7355e-04 eta: 1 day, 5:04:01 time: 0.5110 data_time: 0.0131 memory: 9483 loss_text: 0.9180 loss_center: 2.8313 loss_reg_x: 1.4879 loss_reg_y: 1.3395 loss: 6.5766 2022/08/25 23:18:25 - mmengine - INFO - Epoch(train) [45][35/125] lr: 9.7355e-04 eta: 1 day, 5:04:01 time: 0.7401 data_time: 0.0387 memory: 9483 loss_text: 0.9427 loss_center: 2.8302 loss_reg_x: 1.4652 loss_reg_y: 1.2745 loss: 6.5125 2022/08/25 23:18:28 - mmengine - INFO - Epoch(train) [45][40/125] lr: 9.7355e-04 eta: 1 day, 5:04:54 time: 0.7520 data_time: 0.0407 memory: 9483 loss_text: 1.1538 loss_center: 2.8078 loss_reg_x: 1.7442 loss_reg_y: 1.3303 loss: 7.0362 2022/08/25 23:18:30 - mmengine - INFO - Epoch(train) [45][45/125] lr: 9.7355e-04 eta: 1 day, 5:04:54 time: 0.5158 data_time: 0.0147 memory: 9483 loss_text: 1.1741 loss_center: 2.8166 loss_reg_x: 1.8197 loss_reg_y: 1.6358 loss: 7.4463 2022/08/25 23:18:33 - mmengine - INFO - Epoch(train) [45][50/125] lr: 9.7355e-04 eta: 1 day, 5:04:34 time: 0.5323 data_time: 0.0151 memory: 9483 loss_text: 1.0743 loss_center: 2.8421 loss_reg_x: 1.5586 loss_reg_y: 1.7087 loss: 7.1837 2022/08/25 23:18:35 - mmengine - INFO - Epoch(train) [45][55/125] lr: 9.7355e-04 eta: 1 day, 5:04:34 time: 0.5085 data_time: 0.0161 memory: 9483 loss_text: 1.0447 loss_center: 2.7828 loss_reg_x: 1.4651 loss_reg_y: 1.5430 loss: 6.8356 2022/08/25 23:18:38 - mmengine - INFO - Epoch(train) [45][60/125] lr: 9.7355e-04 eta: 1 day, 5:03:54 time: 0.4704 data_time: 0.0147 memory: 9483 loss_text: 0.9999 loss_center: 2.7968 loss_reg_x: 1.6856 loss_reg_y: 1.7502 loss: 7.2326 2022/08/25 23:18:40 - mmengine - INFO - Epoch(train) [45][65/125] lr: 9.7355e-04 eta: 1 day, 5:03:54 time: 0.4666 data_time: 0.0146 memory: 9483 loss_text: 0.9674 loss_center: 2.8468 loss_reg_x: 1.6919 loss_reg_y: 1.7171 loss: 7.2232 2022/08/25 23:18:44 - mmengine - INFO - Epoch(train) [45][70/125] lr: 9.7355e-04 eta: 1 day, 5:03:54 time: 0.5925 data_time: 0.0129 memory: 9483 loss_text: 0.9824 loss_center: 2.8413 loss_reg_x: 1.8216 loss_reg_y: 1.5154 loss: 7.1607 2022/08/25 23:18:48 - mmengine - INFO - Epoch(train) [45][75/125] lr: 9.7355e-04 eta: 1 day, 5:03:54 time: 0.7954 data_time: 0.0982 memory: 9483 loss_text: 0.9376 loss_center: 2.8307 loss_reg_x: 1.8380 loss_reg_y: 1.3311 loss: 6.9375 2022/08/25 23:18:51 - mmengine - INFO - Epoch(train) [45][80/125] lr: 9.7355e-04 eta: 1 day, 5:04:25 time: 0.6883 data_time: 0.0991 memory: 9483 loss_text: 0.8860 loss_center: 2.8232 loss_reg_x: 1.6509 loss_reg_y: 1.3702 loss: 6.7303 2022/08/25 23:18:53 - mmengine - INFO - Epoch(train) [45][85/125] lr: 9.7355e-04 eta: 1 day, 5:04:25 time: 0.5376 data_time: 0.0129 memory: 9483 loss_text: 1.0083 loss_center: 2.8559 loss_reg_x: 1.9101 loss_reg_y: 1.6869 loss: 7.4611 2022/08/25 23:18:56 - mmengine - INFO - Epoch(train) [45][90/125] lr: 9.7355e-04 eta: 1 day, 5:04:01 time: 0.5190 data_time: 0.0129 memory: 9483 loss_text: 1.0886 loss_center: 2.8813 loss_reg_x: 2.0945 loss_reg_y: 1.7876 loss: 7.8519 2022/08/25 23:18:58 - mmengine - INFO - Epoch(train) [45][95/125] lr: 9.7355e-04 eta: 1 day, 5:04:01 time: 0.4890 data_time: 0.0159 memory: 9483 loss_text: 0.9816 loss_center: 2.8482 loss_reg_x: 1.8931 loss_reg_y: 1.5965 loss: 7.3194 2022/08/25 23:19:01 - mmengine - INFO - Epoch(train) [45][100/125] lr: 9.7355e-04 eta: 1 day, 5:03:35 time: 0.5138 data_time: 0.0161 memory: 9483 loss_text: 0.9352 loss_center: 2.8337 loss_reg_x: 1.7632 loss_reg_y: 1.7230 loss: 7.2552 2022/08/25 23:19:04 - mmengine - INFO - Epoch(train) [45][105/125] lr: 9.7355e-04 eta: 1 day, 5:03:35 time: 0.5580 data_time: 0.0267 memory: 9483 loss_text: 0.9646 loss_center: 2.8375 loss_reg_x: 1.6646 loss_reg_y: 1.6443 loss: 7.1110 2022/08/25 23:19:06 - mmengine - INFO - Epoch(train) [45][110/125] lr: 9.7355e-04 eta: 1 day, 5:03:25 time: 0.5606 data_time: 0.0265 memory: 9483 loss_text: 0.9776 loss_center: 2.8357 loss_reg_x: 1.6803 loss_reg_y: 1.4919 loss: 6.9855 2022/08/25 23:19:09 - mmengine - INFO - Epoch(train) [45][115/125] lr: 9.7355e-04 eta: 1 day, 5:03:25 time: 0.5047 data_time: 0.0151 memory: 9483 loss_text: 0.9922 loss_center: 2.8384 loss_reg_x: 1.7495 loss_reg_y: 1.7585 loss: 7.3385 2022/08/25 23:19:11 - mmengine - INFO - Epoch(train) [45][120/125] lr: 9.7355e-04 eta: 1 day, 5:02:49 time: 0.4827 data_time: 0.0154 memory: 9483 loss_text: 1.0803 loss_center: 2.8550 loss_reg_x: 1.7810 loss_reg_y: 1.6686 loss: 7.3849 2022/08/25 23:19:15 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:19:15 - mmengine - INFO - Epoch(train) [45][125/125] lr: 9.7355e-04 eta: 1 day, 5:02:49 time: 0.6512 data_time: 0.0129 memory: 9483 loss_text: 1.1248 loss_center: 2.8696 loss_reg_x: 1.5107 loss_reg_y: 1.3283 loss: 6.8334 2022/08/25 23:19:19 - mmengine - INFO - Epoch(train) [46][5/125] lr: 9.7294e-04 eta: 1 day, 5:02:49 time: 0.7344 data_time: 0.0789 memory: 9483 loss_text: 0.9853 loss_center: 2.8417 loss_reg_x: 1.1909 loss_reg_y: 1.0417 loss: 6.0597 2022/08/25 23:19:21 - mmengine - INFO - Epoch(train) [46][10/125] lr: 9.7294e-04 eta: 1 day, 5:01:08 time: 0.5759 data_time: 0.0803 memory: 9483 loss_text: 0.8862 loss_center: 2.8243 loss_reg_x: 1.4149 loss_reg_y: 1.0269 loss: 6.1523 2022/08/25 23:19:25 - mmengine - INFO - Epoch(train) [46][15/125] lr: 9.7294e-04 eta: 1 day, 5:01:08 time: 0.6217 data_time: 0.0221 memory: 9483 loss_text: 0.9634 loss_center: 2.8360 loss_reg_x: 1.6314 loss_reg_y: 1.3414 loss: 6.7722 2022/08/25 23:19:27 - mmengine - INFO - Epoch(train) [46][20/125] lr: 9.7294e-04 eta: 1 day, 5:01:18 time: 0.6237 data_time: 0.0218 memory: 9483 loss_text: 1.0177 loss_center: 2.8524 loss_reg_x: 1.5447 loss_reg_y: 1.3886 loss: 6.8033 2022/08/25 23:19:30 - mmengine - INFO - Epoch(train) [46][25/125] lr: 9.7294e-04 eta: 1 day, 5:01:18 time: 0.5027 data_time: 0.0131 memory: 9483 loss_text: 0.9096 loss_center: 2.7867 loss_reg_x: 1.3688 loss_reg_y: 1.3663 loss: 6.4314 2022/08/25 23:19:34 - mmengine - INFO - Epoch(train) [46][30/125] lr: 9.7294e-04 eta: 1 day, 5:01:40 time: 0.6603 data_time: 0.0166 memory: 9483 loss_text: 0.8829 loss_center: 2.7409 loss_reg_x: 1.7833 loss_reg_y: 1.6800 loss: 7.0872 2022/08/25 23:19:37 - mmengine - INFO - Epoch(train) [46][35/125] lr: 9.7294e-04 eta: 1 day, 5:01:40 time: 0.6828 data_time: 0.0168 memory: 9483 loss_text: 0.9027 loss_center: 2.7689 loss_reg_x: 1.7384 loss_reg_y: 1.4937 loss: 6.9037 2022/08/25 23:19:39 - mmengine - INFO - Epoch(train) [46][40/125] lr: 9.7294e-04 eta: 1 day, 5:01:19 time: 0.5268 data_time: 0.0129 memory: 9483 loss_text: 1.0781 loss_center: 2.8183 loss_reg_x: 1.7631 loss_reg_y: 1.5615 loss: 7.2211 2022/08/25 23:19:42 - mmengine - INFO - Epoch(train) [46][45/125] lr: 9.7294e-04 eta: 1 day, 5:01:19 time: 0.4867 data_time: 0.0135 memory: 9483 loss_text: 1.1693 loss_center: 2.8516 loss_reg_x: 1.8878 loss_reg_y: 1.6997 loss: 7.6085 2022/08/25 23:19:49 - mmengine - INFO - Epoch(train) [46][50/125] lr: 9.7294e-04 eta: 1 day, 5:03:05 time: 0.9245 data_time: 0.0323 memory: 9483 loss_text: 1.0339 loss_center: 2.8269 loss_reg_x: 1.6463 loss_reg_y: 1.4433 loss: 6.9504 2022/08/25 23:19:51 - mmengine - INFO - Epoch(train) [46][55/125] lr: 9.7294e-04 eta: 1 day, 5:03:05 time: 0.9323 data_time: 0.0317 memory: 9483 loss_text: 1.0209 loss_center: 2.8162 loss_reg_x: 1.6091 loss_reg_y: 1.4819 loss: 6.9280 2022/08/25 23:19:54 - mmengine - INFO - Epoch(train) [46][60/125] lr: 9.7294e-04 eta: 1 day, 5:02:37 time: 0.5046 data_time: 0.0127 memory: 9483 loss_text: 0.9624 loss_center: 2.7726 loss_reg_x: 1.4976 loss_reg_y: 1.6214 loss: 6.8539 2022/08/25 23:19:56 - mmengine - INFO - Epoch(train) [46][65/125] lr: 9.7294e-04 eta: 1 day, 5:02:37 time: 0.5213 data_time: 0.0157 memory: 9483 loss_text: 0.8686 loss_center: 2.7636 loss_reg_x: 1.4676 loss_reg_y: 1.4675 loss: 6.5674 2022/08/25 23:19:59 - mmengine - INFO - Epoch(train) [46][70/125] lr: 9.7294e-04 eta: 1 day, 5:02:10 time: 0.5082 data_time: 0.0154 memory: 9483 loss_text: 0.8940 loss_center: 2.8255 loss_reg_x: 1.5206 loss_reg_y: 1.5461 loss: 6.7862 2022/08/25 23:20:01 - mmengine - INFO - Epoch(train) [46][75/125] lr: 9.7294e-04 eta: 1 day, 5:02:10 time: 0.5057 data_time: 0.0122 memory: 9483 loss_text: 0.9429 loss_center: 2.8350 loss_reg_x: 1.4633 loss_reg_y: 1.4991 loss: 6.7403 2022/08/25 23:20:07 - mmengine - INFO - Epoch(train) [46][80/125] lr: 9.7294e-04 eta: 1 day, 5:03:42 time: 0.8821 data_time: 0.0129 memory: 9483 loss_text: 0.9047 loss_center: 2.8168 loss_reg_x: 1.4093 loss_reg_y: 1.1927 loss: 6.3236 2022/08/25 23:20:10 - mmengine - INFO - Epoch(train) [46][85/125] lr: 9.7294e-04 eta: 1 day, 5:03:42 time: 0.8580 data_time: 0.0165 memory: 9483 loss_text: 0.9427 loss_center: 2.8303 loss_reg_x: 1.6368 loss_reg_y: 1.5345 loss: 6.9443 2022/08/25 23:20:12 - mmengine - INFO - Epoch(train) [46][90/125] lr: 9.7294e-04 eta: 1 day, 5:03:01 time: 0.4666 data_time: 0.0158 memory: 9483 loss_text: 1.0027 loss_center: 2.8451 loss_reg_x: 1.5329 loss_reg_y: 1.5184 loss: 6.8991 2022/08/25 23:20:15 - mmengine - INFO - Epoch(train) [46][95/125] lr: 9.7294e-04 eta: 1 day, 5:03:01 time: 0.5003 data_time: 0.0121 memory: 9483 loss_text: 0.9423 loss_center: 2.8376 loss_reg_x: 1.5645 loss_reg_y: 1.3918 loss: 6.7363 2022/08/25 23:20:17 - mmengine - INFO - Epoch(train) [46][100/125] lr: 9.7294e-04 eta: 1 day, 5:02:40 time: 0.5248 data_time: 0.0127 memory: 9483 loss_text: 0.9369 loss_center: 2.8509 loss_reg_x: 1.6105 loss_reg_y: 1.4882 loss: 6.8865 2022/08/25 23:20:20 - mmengine - INFO - Epoch(train) [46][105/125] lr: 9.7294e-04 eta: 1 day, 5:02:40 time: 0.5100 data_time: 0.0130 memory: 9483 loss_text: 1.0067 loss_center: 2.8505 loss_reg_x: 1.5281 loss_reg_y: 1.5425 loss: 6.9277 2022/08/25 23:20:23 - mmengine - INFO - Epoch(train) [46][110/125] lr: 9.7294e-04 eta: 1 day, 5:02:31 time: 0.5651 data_time: 0.0201 memory: 9483 loss_text: 0.9518 loss_center: 2.8250 loss_reg_x: 1.6623 loss_reg_y: 1.7938 loss: 7.2330 2022/08/25 23:20:30 - mmengine - INFO - Epoch(train) [46][115/125] lr: 9.7294e-04 eta: 1 day, 5:02:31 time: 0.9832 data_time: 0.0451 memory: 9483 loss_text: 0.8586 loss_center: 2.8123 loss_reg_x: 1.5381 loss_reg_y: 1.6035 loss: 6.8126 2022/08/25 23:20:32 - mmengine - INFO - Epoch(train) [46][120/125] lr: 9.7294e-04 eta: 1 day, 5:04:16 time: 0.9267 data_time: 0.0379 memory: 9483 loss_text: 0.8392 loss_center: 2.7993 loss_reg_x: 1.3822 loss_reg_y: 1.2606 loss: 6.2813 2022/08/25 23:20:35 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:20:35 - mmengine - INFO - Epoch(train) [46][125/125] lr: 9.7294e-04 eta: 1 day, 5:04:16 time: 0.4936 data_time: 0.0150 memory: 9483 loss_text: 0.8733 loss_center: 2.8346 loss_reg_x: 1.5744 loss_reg_y: 1.3061 loss: 6.5883 2022/08/25 23:20:38 - mmengine - INFO - Epoch(train) [47][5/125] lr: 9.7234e-04 eta: 1 day, 5:04:16 time: 0.5791 data_time: 0.1144 memory: 9483 loss_text: 0.9477 loss_center: 2.8443 loss_reg_x: 1.5542 loss_reg_y: 1.3426 loss: 6.6888 2022/08/25 23:20:41 - mmengine - INFO - Epoch(train) [47][10/125] lr: 9.7234e-04 eta: 1 day, 5:02:38 time: 0.5801 data_time: 0.1120 memory: 9483 loss_text: 0.9788 loss_center: 2.7786 loss_reg_x: 1.5063 loss_reg_y: 1.2974 loss: 6.5611 2022/08/25 23:20:44 - mmengine - INFO - Epoch(train) [47][15/125] lr: 9.7234e-04 eta: 1 day, 5:02:38 time: 0.5712 data_time: 0.0119 memory: 9483 loss_text: 0.9358 loss_center: 2.7733 loss_reg_x: 1.4756 loss_reg_y: 1.3280 loss: 6.5127 2022/08/25 23:20:48 - mmengine - INFO - Epoch(train) [47][20/125] lr: 9.7234e-04 eta: 1 day, 5:03:26 time: 0.7466 data_time: 0.0236 memory: 9483 loss_text: 0.8715 loss_center: 2.8132 loss_reg_x: 1.2986 loss_reg_y: 1.3112 loss: 6.2945 2022/08/25 23:20:50 - mmengine - INFO - Epoch(train) [47][25/125] lr: 9.7234e-04 eta: 1 day, 5:03:26 time: 0.6594 data_time: 0.0243 memory: 9483 loss_text: 0.9292 loss_center: 2.8413 loss_reg_x: 1.4497 loss_reg_y: 1.4176 loss: 6.6378 2022/08/25 23:20:53 - mmengine - INFO - Epoch(train) [47][30/125] lr: 9.7234e-04 eta: 1 day, 5:03:05 time: 0.5283 data_time: 0.0136 memory: 9483 loss_text: 0.9762 loss_center: 2.8477 loss_reg_x: 1.6789 loss_reg_y: 1.5743 loss: 7.0770 2022/08/25 23:20:56 - mmengine - INFO - Epoch(train) [47][35/125] lr: 9.7234e-04 eta: 1 day, 5:03:05 time: 0.5518 data_time: 0.0136 memory: 9483 loss_text: 0.9850 loss_center: 2.8295 loss_reg_x: 1.8049 loss_reg_y: 1.5775 loss: 7.1968 2022/08/25 23:20:59 - mmengine - INFO - Epoch(train) [47][40/125] lr: 9.7234e-04 eta: 1 day, 5:02:46 time: 0.5322 data_time: 0.0152 memory: 9483 loss_text: 1.0201 loss_center: 2.8377 loss_reg_x: 1.8140 loss_reg_y: 1.5931 loss: 7.2649 2022/08/25 23:21:01 - mmengine - INFO - Epoch(train) [47][45/125] lr: 9.7234e-04 eta: 1 day, 5:02:46 time: 0.5037 data_time: 0.0154 memory: 9483 loss_text: 1.0052 loss_center: 2.8386 loss_reg_x: 1.6538 loss_reg_y: 1.6750 loss: 7.1726 2022/08/25 23:21:04 - mmengine - INFO - Epoch(train) [47][50/125] lr: 9.7234e-04 eta: 1 day, 5:02:35 time: 0.5578 data_time: 0.0145 memory: 9483 loss_text: 0.9342 loss_center: 2.8315 loss_reg_x: 1.3435 loss_reg_y: 1.4285 loss: 6.5377 2022/08/25 23:21:07 - mmengine - INFO - Epoch(train) [47][55/125] lr: 9.7234e-04 eta: 1 day, 5:02:35 time: 0.6145 data_time: 0.0157 memory: 9483 loss_text: 0.8890 loss_center: 2.8234 loss_reg_x: 1.3833 loss_reg_y: 1.2701 loss: 6.3657 2022/08/25 23:21:10 - mmengine - INFO - Epoch(train) [47][60/125] lr: 9.7234e-04 eta: 1 day, 5:02:24 time: 0.5588 data_time: 0.0169 memory: 9483 loss_text: 0.9665 loss_center: 2.8266 loss_reg_x: 1.5566 loss_reg_y: 1.4490 loss: 6.7988 2022/08/25 23:21:12 - mmengine - INFO - Epoch(train) [47][65/125] lr: 9.7234e-04 eta: 1 day, 5:02:24 time: 0.5129 data_time: 0.0156 memory: 9483 loss_text: 1.0305 loss_center: 2.8495 loss_reg_x: 1.6293 loss_reg_y: 1.3947 loss: 6.9040 2022/08/25 23:21:15 - mmengine - INFO - Epoch(train) [47][70/125] lr: 9.7234e-04 eta: 1 day, 5:01:56 time: 0.5032 data_time: 0.0126 memory: 9483 loss_text: 1.0610 loss_center: 2.8172 loss_reg_x: 1.5982 loss_reg_y: 1.4705 loss: 6.9469 2022/08/25 23:21:17 - mmengine - INFO - Epoch(train) [47][75/125] lr: 9.7234e-04 eta: 1 day, 5:01:56 time: 0.5019 data_time: 0.0147 memory: 9483 loss_text: 1.0157 loss_center: 2.8126 loss_reg_x: 1.5775 loss_reg_y: 1.6967 loss: 7.1024 2022/08/25 23:21:20 - mmengine - INFO - Epoch(train) [47][80/125] lr: 9.7234e-04 eta: 1 day, 5:01:24 time: 0.4934 data_time: 0.0168 memory: 9483 loss_text: 0.9688 loss_center: 2.8478 loss_reg_x: 1.8385 loss_reg_y: 1.5853 loss: 7.2404 2022/08/25 23:21:22 - mmengine - INFO - Epoch(train) [47][85/125] lr: 9.7234e-04 eta: 1 day, 5:01:24 time: 0.4811 data_time: 0.0145 memory: 9483 loss_text: 1.0700 loss_center: 2.8542 loss_reg_x: 1.8514 loss_reg_y: 1.7207 loss: 7.4963 2022/08/25 23:21:28 - mmengine - INFO - Epoch(train) [47][90/125] lr: 9.7234e-04 eta: 1 day, 5:02:30 time: 0.8035 data_time: 0.0159 memory: 9483 loss_text: 1.1133 loss_center: 2.8463 loss_reg_x: 1.7187 loss_reg_y: 1.7011 loss: 7.3793 2022/08/25 23:21:30 - mmengine - INFO - Epoch(train) [47][95/125] lr: 9.7234e-04 eta: 1 day, 5:02:30 time: 0.8202 data_time: 0.0175 memory: 9483 loss_text: 1.0692 loss_center: 2.8433 loss_reg_x: 1.7571 loss_reg_y: 1.4545 loss: 7.1242 2022/08/25 23:21:33 - mmengine - INFO - Epoch(train) [47][100/125] lr: 9.7234e-04 eta: 1 day, 5:02:02 time: 0.5056 data_time: 0.0146 memory: 9483 loss_text: 1.0192 loss_center: 2.8447 loss_reg_x: 1.8119 loss_reg_y: 1.4149 loss: 7.0907 2022/08/25 23:21:36 - mmengine - INFO - Epoch(train) [47][105/125] lr: 9.7234e-04 eta: 1 day, 5:02:02 time: 0.5361 data_time: 0.0155 memory: 9483 loss_text: 1.0428 loss_center: 2.8502 loss_reg_x: 1.8375 loss_reg_y: 1.5214 loss: 7.2518 2022/08/25 23:21:38 - mmengine - INFO - Epoch(train) [47][110/125] lr: 9.7234e-04 eta: 1 day, 5:01:44 time: 0.5360 data_time: 0.0154 memory: 9483 loss_text: 1.0785 loss_center: 2.8623 loss_reg_x: 1.8061 loss_reg_y: 1.8982 loss: 7.6451 2022/08/25 23:21:41 - mmengine - INFO - Epoch(train) [47][115/125] lr: 9.7234e-04 eta: 1 day, 5:01:44 time: 0.4928 data_time: 0.0145 memory: 9483 loss_text: 1.0330 loss_center: 2.8491 loss_reg_x: 1.6808 loss_reg_y: 1.7136 loss: 7.2765 2022/08/25 23:21:45 - mmengine - INFO - Epoch(train) [47][120/125] lr: 9.7234e-04 eta: 1 day, 5:02:14 time: 0.6900 data_time: 0.0141 memory: 9483 loss_text: 1.0153 loss_center: 2.8486 loss_reg_x: 1.6259 loss_reg_y: 1.5540 loss: 7.0438 2022/08/25 23:21:48 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:21:48 - mmengine - INFO - Epoch(train) [47][125/125] lr: 9.7234e-04 eta: 1 day, 5:02:14 time: 0.7548 data_time: 0.0498 memory: 9483 loss_text: 1.0179 loss_center: 2.8414 loss_reg_x: 1.7035 loss_reg_y: 1.5343 loss: 7.0970 2022/08/25 23:21:51 - mmengine - INFO - Epoch(train) [48][5/125] lr: 9.7174e-04 eta: 1 day, 5:02:14 time: 0.6133 data_time: 0.1042 memory: 9483 loss_text: 0.9597 loss_center: 2.8350 loss_reg_x: 1.7717 loss_reg_y: 1.5513 loss: 7.1177 2022/08/25 23:21:54 - mmengine - INFO - Epoch(train) [48][10/125] lr: 9.7174e-04 eta: 1 day, 5:00:32 time: 0.5594 data_time: 0.0695 memory: 9483 loss_text: 0.9443 loss_center: 2.8372 loss_reg_x: 1.9185 loss_reg_y: 1.7239 loss: 7.4238 2022/08/25 23:21:56 - mmengine - INFO - Epoch(train) [48][15/125] lr: 9.7174e-04 eta: 1 day, 5:00:32 time: 0.4909 data_time: 0.0153 memory: 9483 loss_text: 1.0320 loss_center: 2.8669 loss_reg_x: 1.8866 loss_reg_y: 1.7031 loss: 7.4886 2022/08/25 23:21:59 - mmengine - INFO - Epoch(train) [48][20/125] lr: 9.7174e-04 eta: 1 day, 4:59:57 time: 0.4809 data_time: 0.0132 memory: 9483 loss_text: 1.1234 loss_center: 2.8555 loss_reg_x: 1.7360 loss_reg_y: 1.3751 loss: 7.0900 2022/08/25 23:22:01 - mmengine - INFO - Epoch(train) [48][25/125] lr: 9.7174e-04 eta: 1 day, 4:59:57 time: 0.5070 data_time: 0.0154 memory: 9483 loss_text: 1.0462 loss_center: 2.7593 loss_reg_x: 1.6344 loss_reg_y: 1.0698 loss: 6.5097 2022/08/25 23:22:06 - mmengine - INFO - Epoch(train) [48][30/125] lr: 9.7174e-04 eta: 1 day, 5:00:54 time: 0.7802 data_time: 0.0645 memory: 9483 loss_text: 0.9209 loss_center: 2.7690 loss_reg_x: 1.4338 loss_reg_y: 1.1203 loss: 6.2439 2022/08/25 23:22:09 - mmengine - INFO - Epoch(train) [48][35/125] lr: 9.7174e-04 eta: 1 day, 5:00:54 time: 0.7598 data_time: 0.0637 memory: 9483 loss_text: 0.8576 loss_center: 2.8148 loss_reg_x: 1.2125 loss_reg_y: 1.0993 loss: 5.9842 2022/08/25 23:22:11 - mmengine - INFO - Epoch(train) [48][40/125] lr: 9.7174e-04 eta: 1 day, 5:00:25 time: 0.5006 data_time: 0.0185 memory: 9483 loss_text: 0.9184 loss_center: 2.8243 loss_reg_x: 1.4786 loss_reg_y: 1.3362 loss: 6.5574 2022/08/25 23:22:14 - mmengine - INFO - Epoch(train) [48][45/125] lr: 9.7174e-04 eta: 1 day, 5:00:25 time: 0.4966 data_time: 0.0180 memory: 9483 loss_text: 1.0033 loss_center: 2.8476 loss_reg_x: 1.7512 loss_reg_y: 1.4481 loss: 7.0502 2022/08/25 23:22:16 - mmengine - INFO - Epoch(train) [48][50/125] lr: 9.7174e-04 eta: 1 day, 4:59:53 time: 0.4874 data_time: 0.0147 memory: 9483 loss_text: 0.9892 loss_center: 2.8376 loss_reg_x: 1.5146 loss_reg_y: 1.2235 loss: 6.5648 2022/08/25 23:22:19 - mmengine - INFO - Epoch(train) [48][55/125] lr: 9.7174e-04 eta: 1 day, 4:59:53 time: 0.4967 data_time: 0.0136 memory: 9483 loss_text: 1.0270 loss_center: 2.8432 loss_reg_x: 1.5204 loss_reg_y: 1.4508 loss: 6.8414 2022/08/25 23:22:22 - mmengine - INFO - Epoch(train) [48][60/125] lr: 9.7174e-04 eta: 1 day, 5:00:00 time: 0.6160 data_time: 0.0154 memory: 9483 loss_text: 1.0295 loss_center: 2.8382 loss_reg_x: 1.8281 loss_reg_y: 1.7583 loss: 7.4541 2022/08/25 23:22:26 - mmengine - INFO - Epoch(train) [48][65/125] lr: 9.7174e-04 eta: 1 day, 5:00:00 time: 0.7305 data_time: 0.0173 memory: 9483 loss_text: 0.9335 loss_center: 2.8155 loss_reg_x: 1.6983 loss_reg_y: 1.3945 loss: 6.8418 2022/08/25 23:22:29 - mmengine - INFO - Epoch(train) [48][70/125] lr: 9.7174e-04 eta: 1 day, 5:00:05 time: 0.6116 data_time: 0.0166 memory: 9483 loss_text: 0.9616 loss_center: 2.8179 loss_reg_x: 1.4524 loss_reg_y: 1.3080 loss: 6.5400 2022/08/25 23:22:31 - mmengine - INFO - Epoch(train) [48][75/125] lr: 9.7174e-04 eta: 1 day, 5:00:05 time: 0.4897 data_time: 0.0144 memory: 9483 loss_text: 1.0001 loss_center: 2.8193 loss_reg_x: 1.6032 loss_reg_y: 1.5588 loss: 6.9814 2022/08/25 23:22:35 - mmengine - INFO - Epoch(train) [48][80/125] lr: 9.7174e-04 eta: 1 day, 5:00:05 time: 0.5924 data_time: 0.0136 memory: 9483 loss_text: 0.9252 loss_center: 2.8131 loss_reg_x: 1.5604 loss_reg_y: 1.2790 loss: 6.5776 2022/08/25 23:22:37 - mmengine - INFO - Epoch(train) [48][85/125] lr: 9.7174e-04 eta: 1 day, 5:00:05 time: 0.6104 data_time: 0.0168 memory: 9483 loss_text: 0.9976 loss_center: 2.8250 loss_reg_x: 1.6583 loss_reg_y: 1.2496 loss: 6.7306 2022/08/25 23:22:40 - mmengine - INFO - Epoch(train) [48][90/125] lr: 9.7174e-04 eta: 1 day, 4:59:36 time: 0.5014 data_time: 0.0154 memory: 9483 loss_text: 1.0584 loss_center: 2.8481 loss_reg_x: 1.7779 loss_reg_y: 1.5702 loss: 7.2545 2022/08/25 23:22:42 - mmengine - INFO - Epoch(train) [48][95/125] lr: 9.7174e-04 eta: 1 day, 4:59:36 time: 0.4925 data_time: 0.0127 memory: 9483 loss_text: 0.9778 loss_center: 2.8532 loss_reg_x: 1.6019 loss_reg_y: 1.5486 loss: 6.9814 2022/08/25 23:22:47 - mmengine - INFO - Epoch(train) [48][100/125] lr: 9.7174e-04 eta: 1 day, 5:00:17 time: 0.7285 data_time: 0.0198 memory: 9483 loss_text: 0.8903 loss_center: 2.8343 loss_reg_x: 1.3855 loss_reg_y: 1.2371 loss: 6.3472 2022/08/25 23:22:49 - mmengine - INFO - Epoch(train) [48][105/125] lr: 9.7174e-04 eta: 1 day, 5:00:17 time: 0.7440 data_time: 0.0220 memory: 9483 loss_text: 0.9127 loss_center: 2.8343 loss_reg_x: 1.3756 loss_reg_y: 1.2117 loss: 6.3343 2022/08/25 23:22:52 - mmengine - INFO - Epoch(train) [48][110/125] lr: 9.7174e-04 eta: 1 day, 5:00:03 time: 0.5454 data_time: 0.0155 memory: 9483 loss_text: 0.9823 loss_center: 2.8409 loss_reg_x: 1.6392 loss_reg_y: 1.5786 loss: 7.0409 2022/08/25 23:22:55 - mmengine - INFO - Epoch(train) [48][115/125] lr: 9.7174e-04 eta: 1 day, 5:00:03 time: 0.5799 data_time: 0.0368 memory: 9483 loss_text: 0.9432 loss_center: 2.8222 loss_reg_x: 1.7555 loss_reg_y: 1.8335 loss: 7.3544 2022/08/25 23:22:58 - mmengine - INFO - Epoch(train) [48][120/125] lr: 9.7174e-04 eta: 1 day, 4:59:51 time: 0.5564 data_time: 0.0362 memory: 9483 loss_text: 0.9225 loss_center: 2.8225 loss_reg_x: 1.5634 loss_reg_y: 1.5851 loss: 6.8935 2022/08/25 23:23:00 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:23:00 - mmengine - INFO - Epoch(train) [48][125/125] lr: 9.7174e-04 eta: 1 day, 4:59:51 time: 0.5021 data_time: 0.0137 memory: 9483 loss_text: 1.0083 loss_center: 2.8213 loss_reg_x: 1.3807 loss_reg_y: 1.2084 loss: 6.4187 2022/08/25 23:23:04 - mmengine - INFO - Epoch(train) [49][5/125] lr: 9.7114e-04 eta: 1 day, 4:59:51 time: 0.6289 data_time: 0.0843 memory: 9483 loss_text: 0.9984 loss_center: 2.8156 loss_reg_x: 1.3395 loss_reg_y: 1.3180 loss: 6.4715 2022/08/25 23:23:07 - mmengine - INFO - Epoch(train) [49][10/125] lr: 9.7114e-04 eta: 1 day, 4:58:39 time: 0.6507 data_time: 0.0837 memory: 9483 loss_text: 0.8526 loss_center: 2.8076 loss_reg_x: 1.2687 loss_reg_y: 1.2452 loss: 6.1741 2022/08/25 23:23:09 - mmengine - INFO - Epoch(train) [49][15/125] lr: 9.7114e-04 eta: 1 day, 4:58:39 time: 0.5204 data_time: 0.0125 memory: 9483 loss_text: 0.9272 loss_center: 2.8172 loss_reg_x: 1.2674 loss_reg_y: 1.0846 loss: 6.0964 2022/08/25 23:23:12 - mmengine - INFO - Epoch(train) [49][20/125] lr: 9.7114e-04 eta: 1 day, 4:58:10 time: 0.4996 data_time: 0.0162 memory: 9483 loss_text: 0.9722 loss_center: 2.8320 loss_reg_x: 1.3851 loss_reg_y: 1.1973 loss: 6.3866 2022/08/25 23:23:15 - mmengine - INFO - Epoch(train) [49][25/125] lr: 9.7114e-04 eta: 1 day, 4:58:10 time: 0.5213 data_time: 0.0251 memory: 9483 loss_text: 0.9160 loss_center: 2.8313 loss_reg_x: 1.4209 loss_reg_y: 1.2268 loss: 6.3949 2022/08/25 23:23:17 - mmengine - INFO - Epoch(train) [49][30/125] lr: 9.7114e-04 eta: 1 day, 4:57:46 time: 0.5136 data_time: 0.0239 memory: 9483 loss_text: 0.8825 loss_center: 2.8268 loss_reg_x: 1.2783 loss_reg_y: 1.2708 loss: 6.2583 2022/08/25 23:23:19 - mmengine - INFO - Epoch(train) [49][35/125] lr: 9.7114e-04 eta: 1 day, 4:57:46 time: 0.4751 data_time: 0.0161 memory: 9483 loss_text: 0.8382 loss_center: 2.8026 loss_reg_x: 1.1639 loss_reg_y: 1.1749 loss: 5.9796 2022/08/25 23:23:22 - mmengine - INFO - Epoch(train) [49][40/125] lr: 9.7114e-04 eta: 1 day, 4:57:12 time: 0.4820 data_time: 0.0129 memory: 9483 loss_text: 0.8402 loss_center: 2.7949 loss_reg_x: 1.1502 loss_reg_y: 1.0507 loss: 5.8360 2022/08/25 23:23:25 - mmengine - INFO - Epoch(train) [49][45/125] lr: 9.7114e-04 eta: 1 day, 4:57:12 time: 0.5965 data_time: 0.0239 memory: 9483 loss_text: 0.9732 loss_center: 2.8302 loss_reg_x: 1.4941 loss_reg_y: 1.5515 loss: 6.8490 2022/08/25 23:23:28 - mmengine - INFO - Epoch(train) [49][50/125] lr: 9.7114e-04 eta: 1 day, 4:57:22 time: 0.6261 data_time: 0.0248 memory: 9483 loss_text: 1.0945 loss_center: 2.8490 loss_reg_x: 1.6465 loss_reg_y: 1.6932 loss: 7.2833 2022/08/25 23:23:31 - mmengine - INFO - Epoch(train) [49][55/125] lr: 9.7114e-04 eta: 1 day, 4:57:22 time: 0.5272 data_time: 0.0143 memory: 9483 loss_text: 1.0633 loss_center: 2.8432 loss_reg_x: 1.7174 loss_reg_y: 1.4851 loss: 7.1088 2022/08/25 23:23:35 - mmengine - INFO - Epoch(train) [49][60/125] lr: 9.7114e-04 eta: 1 day, 4:57:58 time: 0.7133 data_time: 0.0139 memory: 9483 loss_text: 0.9807 loss_center: 2.8054 loss_reg_x: 1.7480 loss_reg_y: 1.7791 loss: 7.3132 2022/08/25 23:23:38 - mmengine - INFO - Epoch(train) [49][65/125] lr: 9.7114e-04 eta: 1 day, 4:57:58 time: 0.7235 data_time: 0.0175 memory: 9483 loss_text: 0.9209 loss_center: 2.7931 loss_reg_x: 1.5888 loss_reg_y: 1.5544 loss: 6.8572 2022/08/25 23:23:40 - mmengine - INFO - Epoch(train) [49][70/125] lr: 9.7114e-04 eta: 1 day, 4:57:33 time: 0.5108 data_time: 0.0183 memory: 9483 loss_text: 0.9152 loss_center: 2.8278 loss_reg_x: 1.5317 loss_reg_y: 1.2792 loss: 6.5538 2022/08/25 23:23:44 - mmengine - INFO - Epoch(train) [49][75/125] lr: 9.7114e-04 eta: 1 day, 4:57:33 time: 0.5654 data_time: 0.0152 memory: 9483 loss_text: 0.9122 loss_center: 2.8362 loss_reg_x: 1.6717 loss_reg_y: 1.3439 loss: 6.7640 2022/08/25 23:23:46 - mmengine - INFO - Epoch(train) [49][80/125] lr: 9.7114e-04 eta: 1 day, 4:57:38 time: 0.6116 data_time: 0.0325 memory: 9483 loss_text: 1.2317 loss_center: 2.8536 loss_reg_x: 1.8684 loss_reg_y: 1.4476 loss: 7.4012 2022/08/25 23:23:49 - mmengine - INFO - Epoch(train) [49][85/125] lr: 9.7114e-04 eta: 1 day, 4:57:38 time: 0.5682 data_time: 0.0328 memory: 9483 loss_text: 1.2397 loss_center: 2.8361 loss_reg_x: 1.5762 loss_reg_y: 1.3639 loss: 7.0159 2022/08/25 23:23:52 - mmengine - INFO - Epoch(train) [49][90/125] lr: 9.7114e-04 eta: 1 day, 4:57:17 time: 0.5211 data_time: 0.0158 memory: 9483 loss_text: 1.0408 loss_center: 2.8246 loss_reg_x: 1.7031 loss_reg_y: 1.5474 loss: 7.1159 2022/08/25 23:23:55 - mmengine - INFO - Epoch(train) [49][95/125] lr: 9.7114e-04 eta: 1 day, 4:57:17 time: 0.5621 data_time: 0.0148 memory: 9483 loss_text: 1.0131 loss_center: 2.8376 loss_reg_x: 1.7173 loss_reg_y: 1.6214 loss: 7.1894 2022/08/25 23:23:57 - mmengine - INFO - Epoch(train) [49][100/125] lr: 9.7114e-04 eta: 1 day, 4:57:08 time: 0.5646 data_time: 0.0129 memory: 9483 loss_text: 1.0150 loss_center: 2.8410 loss_reg_x: 1.5800 loss_reg_y: 1.3549 loss: 6.7909 2022/08/25 23:24:00 - mmengine - INFO - Epoch(train) [49][105/125] lr: 9.7114e-04 eta: 1 day, 4:57:08 time: 0.4904 data_time: 0.0154 memory: 9483 loss_text: 1.0278 loss_center: 2.8498 loss_reg_x: 2.0064 loss_reg_y: 1.8137 loss: 7.6977 2022/08/25 23:24:02 - mmengine - INFO - Epoch(train) [49][110/125] lr: 9.7114e-04 eta: 1 day, 4:56:38 time: 0.4933 data_time: 0.0159 memory: 9483 loss_text: 0.8719 loss_center: 2.8417 loss_reg_x: 1.8737 loss_reg_y: 1.7472 loss: 7.3345 2022/08/25 23:24:06 - mmengine - INFO - Epoch(train) [49][115/125] lr: 9.7114e-04 eta: 1 day, 4:56:38 time: 0.6311 data_time: 0.0147 memory: 9483 loss_text: 0.9203 loss_center: 2.8256 loss_reg_x: 1.6304 loss_reg_y: 1.4554 loss: 6.8318 2022/08/25 23:24:08 - mmengine - INFO - Epoch(train) [49][120/125] lr: 9.7114e-04 eta: 1 day, 4:56:42 time: 0.6070 data_time: 0.0142 memory: 9483 loss_text: 1.0463 loss_center: 2.8211 loss_reg_x: 1.6278 loss_reg_y: 1.5484 loss: 7.0436 2022/08/25 23:24:11 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:24:11 - mmengine - INFO - Epoch(train) [49][125/125] lr: 9.7114e-04 eta: 1 day, 4:56:42 time: 0.5080 data_time: 0.0136 memory: 9483 loss_text: 0.9491 loss_center: 2.8269 loss_reg_x: 1.4532 loss_reg_y: 1.3633 loss: 6.5924 2022/08/25 23:24:15 - mmengine - INFO - Epoch(train) [50][5/125] lr: 9.7053e-04 eta: 1 day, 4:56:42 time: 0.6241 data_time: 0.0998 memory: 9483 loss_text: 0.8928 loss_center: 2.8268 loss_reg_x: 1.4912 loss_reg_y: 1.4788 loss: 6.6897 2022/08/25 23:24:17 - mmengine - INFO - Epoch(train) [50][10/125] lr: 9.7053e-04 eta: 1 day, 4:55:08 time: 0.5737 data_time: 0.0975 memory: 9483 loss_text: 0.9047 loss_center: 2.8279 loss_reg_x: 1.4712 loss_reg_y: 1.5050 loss: 6.7087 2022/08/25 23:24:19 - mmengine - INFO - Epoch(train) [50][15/125] lr: 9.7053e-04 eta: 1 day, 4:55:08 time: 0.4748 data_time: 0.0124 memory: 9483 loss_text: 0.9001 loss_center: 2.8141 loss_reg_x: 1.5694 loss_reg_y: 1.3055 loss: 6.5891 2022/08/25 23:24:22 - mmengine - INFO - Epoch(train) [50][20/125] lr: 9.7053e-04 eta: 1 day, 4:54:38 time: 0.4917 data_time: 0.0145 memory: 9483 loss_text: 0.8840 loss_center: 2.8204 loss_reg_x: 1.6855 loss_reg_y: 1.4697 loss: 6.8596 2022/08/25 23:24:27 - mmengine - INFO - Epoch(train) [50][25/125] lr: 9.7053e-04 eta: 1 day, 4:54:38 time: 0.8076 data_time: 0.0165 memory: 9483 loss_text: 0.9846 loss_center: 2.8520 loss_reg_x: 1.7406 loss_reg_y: 1.6066 loss: 7.1838 2022/08/25 23:24:30 - mmengine - INFO - Epoch(train) [50][30/125] lr: 9.7053e-04 eta: 1 day, 4:55:44 time: 0.8168 data_time: 0.0167 memory: 9483 loss_text: 1.0753 loss_center: 2.8514 loss_reg_x: 1.8203 loss_reg_y: 1.3787 loss: 7.1258 2022/08/25 23:24:32 - mmengine - INFO - Epoch(train) [50][35/125] lr: 9.7053e-04 eta: 1 day, 4:55:44 time: 0.5116 data_time: 0.0167 memory: 9483 loss_text: 1.0393 loss_center: 2.8482 loss_reg_x: 1.6783 loss_reg_y: 1.3571 loss: 6.9229 2022/08/25 23:24:35 - mmengine - INFO - Epoch(train) [50][40/125] lr: 9.7053e-04 eta: 1 day, 4:55:25 time: 0.5296 data_time: 0.0219 memory: 9483 loss_text: 1.0516 loss_center: 2.8541 loss_reg_x: 1.7970 loss_reg_y: 1.5618 loss: 7.2644 2022/08/25 23:24:38 - mmengine - INFO - Epoch(train) [50][45/125] lr: 9.7053e-04 eta: 1 day, 4:55:25 time: 0.5163 data_time: 0.0192 memory: 9483 loss_text: 1.0526 loss_center: 2.8427 loss_reg_x: 1.6990 loss_reg_y: 1.4451 loss: 7.0394 2022/08/25 23:24:40 - mmengine - INFO - Epoch(train) [50][50/125] lr: 9.7053e-04 eta: 1 day, 4:54:54 time: 0.4887 data_time: 0.0124 memory: 9483 loss_text: 1.0325 loss_center: 2.8311 loss_reg_x: 1.5585 loss_reg_y: 1.5855 loss: 7.0076 2022/08/25 23:24:43 - mmengine - INFO - Epoch(train) [50][55/125] lr: 9.7053e-04 eta: 1 day, 4:54:54 time: 0.4909 data_time: 0.0141 memory: 9483 loss_text: 0.9917 loss_center: 2.8316 loss_reg_x: 1.6211 loss_reg_y: 1.5329 loss: 6.9773 2022/08/25 23:24:46 - mmengine - INFO - Epoch(train) [50][60/125] lr: 9.7053e-04 eta: 1 day, 4:54:42 time: 0.5502 data_time: 0.0340 memory: 9483 loss_text: 0.9076 loss_center: 2.8307 loss_reg_x: 1.4572 loss_reg_y: 1.2767 loss: 6.4722 2022/08/25 23:24:48 - mmengine - INFO - Epoch(train) [50][65/125] lr: 9.7053e-04 eta: 1 day, 4:54:42 time: 0.5484 data_time: 0.0328 memory: 9483 loss_text: 0.8876 loss_center: 2.8312 loss_reg_x: 1.4917 loss_reg_y: 1.3905 loss: 6.6010 2022/08/25 23:24:50 - mmengine - INFO - Epoch(train) [50][70/125] lr: 9.7053e-04 eta: 1 day, 4:54:11 time: 0.4876 data_time: 0.0130 memory: 9483 loss_text: 0.9765 loss_center: 2.8262 loss_reg_x: 1.4646 loss_reg_y: 1.2937 loss: 6.5610 2022/08/25 23:24:55 - mmengine - INFO - Epoch(train) [50][75/125] lr: 9.7053e-04 eta: 1 day, 4:54:11 time: 0.6646 data_time: 0.0143 memory: 9483 loss_text: 1.0209 loss_center: 2.8210 loss_reg_x: 1.3806 loss_reg_y: 1.2128 loss: 6.4353 2022/08/25 23:24:57 - mmengine - INFO - Epoch(train) [50][80/125] lr: 9.7053e-04 eta: 1 day, 4:54:38 time: 0.6864 data_time: 0.0155 memory: 9483 loss_text: 1.0860 loss_center: 2.8470 loss_reg_x: 1.5534 loss_reg_y: 1.4679 loss: 6.9542 2022/08/25 23:25:00 - mmengine - INFO - Epoch(train) [50][85/125] lr: 9.7053e-04 eta: 1 day, 4:54:38 time: 0.5062 data_time: 0.0137 memory: 9483 loss_text: 1.0914 loss_center: 2.8418 loss_reg_x: 1.5829 loss_reg_y: 1.4743 loss: 6.9904 2022/08/25 23:25:02 - mmengine - INFO - Epoch(train) [50][90/125] lr: 9.7053e-04 eta: 1 day, 4:54:08 time: 0.4923 data_time: 0.0124 memory: 9483 loss_text: 1.0200 loss_center: 2.8106 loss_reg_x: 1.5222 loss_reg_y: 1.4695 loss: 6.8223 2022/08/25 23:25:07 - mmengine - INFO - Epoch(train) [50][95/125] lr: 9.7053e-04 eta: 1 day, 4:54:08 time: 0.7346 data_time: 0.0145 memory: 9483 loss_text: 0.9688 loss_center: 2.7969 loss_reg_x: 1.6052 loss_reg_y: 1.5540 loss: 6.9249 2022/08/25 23:25:10 - mmengine - INFO - Epoch(train) [50][100/125] lr: 9.7053e-04 eta: 1 day, 4:54:48 time: 0.7311 data_time: 0.0159 memory: 9483 loss_text: 0.9485 loss_center: 2.8134 loss_reg_x: 1.5002 loss_reg_y: 1.4168 loss: 6.6789 2022/08/25 23:25:12 - mmengine - INFO - Epoch(train) [50][105/125] lr: 9.7053e-04 eta: 1 day, 4:54:48 time: 0.5148 data_time: 0.0143 memory: 9483 loss_text: 0.9219 loss_center: 2.8359 loss_reg_x: 1.4594 loss_reg_y: 1.4100 loss: 6.6272 2022/08/25 23:25:15 - mmengine - INFO - Epoch(train) [50][110/125] lr: 9.7053e-04 eta: 1 day, 4:54:44 time: 0.5784 data_time: 0.0131 memory: 9483 loss_text: 0.9167 loss_center: 2.8421 loss_reg_x: 1.5188 loss_reg_y: 1.4944 loss: 6.7720 2022/08/25 23:25:18 - mmengine - INFO - Epoch(train) [50][115/125] lr: 9.7053e-04 eta: 1 day, 4:54:44 time: 0.5892 data_time: 0.0148 memory: 9483 loss_text: 0.9709 loss_center: 2.8289 loss_reg_x: 1.4426 loss_reg_y: 1.4965 loss: 6.7389 2022/08/25 23:25:21 - mmengine - INFO - Epoch(train) [50][120/125] lr: 9.7053e-04 eta: 1 day, 4:54:27 time: 0.5375 data_time: 0.0148 memory: 9483 loss_text: 0.9813 loss_center: 2.8199 loss_reg_x: 1.4274 loss_reg_y: 1.3989 loss: 6.6275 2022/08/25 23:25:24 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:25:24 - mmengine - INFO - Epoch(train) [50][125/125] lr: 9.7053e-04 eta: 1 day, 4:54:27 time: 0.5753 data_time: 0.0119 memory: 9483 loss_text: 0.9202 loss_center: 2.8140 loss_reg_x: 1.4960 loss_reg_y: 1.3713 loss: 6.6015 2022/08/25 23:25:27 - mmengine - INFO - Epoch(train) [51][5/125] lr: 9.6993e-04 eta: 1 day, 4:54:27 time: 0.6368 data_time: 0.0800 memory: 9483 loss_text: 0.9084 loss_center: 2.8204 loss_reg_x: 1.6942 loss_reg_y: 1.4337 loss: 6.8567 2022/08/25 23:25:30 - mmengine - INFO - Epoch(train) [51][10/125] lr: 9.6993e-04 eta: 1 day, 4:52:59 time: 0.5858 data_time: 0.0808 memory: 9483 loss_text: 0.9697 loss_center: 2.8386 loss_reg_x: 1.7338 loss_reg_y: 1.4763 loss: 7.0182 2022/08/25 23:25:33 - mmengine - INFO - Epoch(train) [51][15/125] lr: 9.6993e-04 eta: 1 day, 4:52:59 time: 0.5258 data_time: 0.0133 memory: 9483 loss_text: 0.9658 loss_center: 2.8213 loss_reg_x: 1.4308 loss_reg_y: 1.2456 loss: 6.4635 2022/08/25 23:25:37 - mmengine - INFO - Epoch(train) [51][20/125] lr: 9.6993e-04 eta: 1 day, 4:53:40 time: 0.7363 data_time: 0.0327 memory: 9483 loss_text: 0.9567 loss_center: 2.8239 loss_reg_x: 1.3751 loss_reg_y: 1.1940 loss: 6.3497 2022/08/25 23:25:40 - mmengine - INFO - Epoch(train) [51][25/125] lr: 9.6993e-04 eta: 1 day, 4:53:40 time: 0.7512 data_time: 0.0338 memory: 9483 loss_text: 0.9195 loss_center: 2.8271 loss_reg_x: 1.4494 loss_reg_y: 1.2067 loss: 6.4027 2022/08/25 23:25:42 - mmengine - INFO - Epoch(train) [51][30/125] lr: 9.6993e-04 eta: 1 day, 4:53:20 time: 0.5238 data_time: 0.0162 memory: 9483 loss_text: 0.8986 loss_center: 2.8277 loss_reg_x: 1.6023 loss_reg_y: 1.3760 loss: 6.7046 2022/08/25 23:25:47 - mmengine - INFO - Epoch(train) [51][35/125] lr: 9.6993e-04 eta: 1 day, 4:53:20 time: 0.7125 data_time: 0.0153 memory: 9483 loss_text: 0.9863 loss_center: 2.8295 loss_reg_x: 1.7893 loss_reg_y: 1.5712 loss: 7.1763 2022/08/25 23:25:50 - mmengine - INFO - Epoch(train) [51][40/125] lr: 9.6993e-04 eta: 1 day, 4:53:53 time: 0.7074 data_time: 0.0150 memory: 9483 loss_text: 1.0321 loss_center: 2.8291 loss_reg_x: 1.7237 loss_reg_y: 1.6094 loss: 7.1942 2022/08/25 23:25:53 - mmengine - INFO - Epoch(train) [51][45/125] lr: 9.6993e-04 eta: 1 day, 4:53:53 time: 0.5456 data_time: 0.0166 memory: 9483 loss_text: 0.9404 loss_center: 2.8197 loss_reg_x: 1.4977 loss_reg_y: 1.4778 loss: 6.7356 2022/08/25 23:25:55 - mmengine - INFO - Epoch(train) [51][50/125] lr: 9.6993e-04 eta: 1 day, 4:53:40 time: 0.5519 data_time: 0.0160 memory: 9483 loss_text: 0.8883 loss_center: 2.8088 loss_reg_x: 1.4277 loss_reg_y: 1.3088 loss: 6.4337 2022/08/25 23:25:57 - mmengine - INFO - Epoch(train) [51][55/125] lr: 9.6993e-04 eta: 1 day, 4:53:40 time: 0.4889 data_time: 0.0138 memory: 9483 loss_text: 1.0060 loss_center: 2.8222 loss_reg_x: 1.5096 loss_reg_y: 1.4111 loss: 6.7488 2022/08/25 23:26:00 - mmengine - INFO - Epoch(train) [51][60/125] lr: 9.6993e-04 eta: 1 day, 4:53:08 time: 0.4793 data_time: 0.0146 memory: 9483 loss_text: 1.0470 loss_center: 2.8252 loss_reg_x: 1.6775 loss_reg_y: 1.5625 loss: 7.1123 2022/08/25 23:26:02 - mmengine - INFO - Epoch(train) [51][65/125] lr: 9.6993e-04 eta: 1 day, 4:53:08 time: 0.4768 data_time: 0.0178 memory: 9483 loss_text: 0.9932 loss_center: 2.8224 loss_reg_x: 1.7180 loss_reg_y: 1.6116 loss: 7.1453 2022/08/25 23:26:05 - mmengine - INFO - Epoch(train) [51][70/125] lr: 9.6993e-04 eta: 1 day, 4:52:57 time: 0.5563 data_time: 0.0164 memory: 9483 loss_text: 0.9729 loss_center: 2.8383 loss_reg_x: 1.5791 loss_reg_y: 1.4434 loss: 6.8337 2022/08/25 23:26:09 - mmengine - INFO - Epoch(train) [51][75/125] lr: 9.6993e-04 eta: 1 day, 4:52:57 time: 0.6265 data_time: 0.0159 memory: 9483 loss_text: 0.9529 loss_center: 2.8274 loss_reg_x: 1.4927 loss_reg_y: 1.2512 loss: 6.5242 2022/08/25 23:26:11 - mmengine - INFO - Epoch(train) [51][80/125] lr: 9.6993e-04 eta: 1 day, 4:52:53 time: 0.5803 data_time: 0.0168 memory: 9483 loss_text: 1.0247 loss_center: 2.8304 loss_reg_x: 1.5231 loss_reg_y: 1.4815 loss: 6.8597 2022/08/25 23:26:14 - mmengine - INFO - Epoch(train) [51][85/125] lr: 9.6993e-04 eta: 1 day, 4:52:53 time: 0.5891 data_time: 0.0309 memory: 9483 loss_text: 0.9878 loss_center: 2.8466 loss_reg_x: 1.5517 loss_reg_y: 1.8366 loss: 7.2228 2022/08/25 23:26:17 - mmengine - INFO - Epoch(train) [51][90/125] lr: 9.6993e-04 eta: 1 day, 4:52:48 time: 0.5773 data_time: 0.0307 memory: 9483 loss_text: 0.9383 loss_center: 2.8257 loss_reg_x: 1.4309 loss_reg_y: 1.5508 loss: 6.7456 2022/08/25 23:26:20 - mmengine - INFO - Epoch(train) [51][95/125] lr: 9.6993e-04 eta: 1 day, 4:52:48 time: 0.5267 data_time: 0.0161 memory: 9483 loss_text: 0.9340 loss_center: 2.8295 loss_reg_x: 1.3931 loss_reg_y: 1.2782 loss: 6.4348 2022/08/25 23:26:22 - mmengine - INFO - Epoch(train) [51][100/125] lr: 9.6993e-04 eta: 1 day, 4:52:23 time: 0.5066 data_time: 0.0165 memory: 9483 loss_text: 0.8727 loss_center: 2.8398 loss_reg_x: 1.2468 loss_reg_y: 1.1638 loss: 6.1231 2022/08/25 23:26:27 - mmengine - INFO - Epoch(train) [51][105/125] lr: 9.6993e-04 eta: 1 day, 4:52:23 time: 0.7108 data_time: 0.0249 memory: 9483 loss_text: 0.9469 loss_center: 2.8305 loss_reg_x: 1.3810 loss_reg_y: 1.2975 loss: 6.4559 2022/08/25 23:26:30 - mmengine - INFO - Epoch(train) [51][110/125] lr: 9.6993e-04 eta: 1 day, 4:53:19 time: 0.7902 data_time: 0.0308 memory: 9483 loss_text: 1.0239 loss_center: 2.8204 loss_reg_x: 1.6580 loss_reg_y: 1.5273 loss: 7.0296 2022/08/25 23:26:33 - mmengine - INFO - Epoch(train) [51][115/125] lr: 9.6993e-04 eta: 1 day, 4:53:19 time: 0.5814 data_time: 0.0249 memory: 9483 loss_text: 0.9538 loss_center: 2.8287 loss_reg_x: 1.6353 loss_reg_y: 1.3228 loss: 6.7406 2022/08/25 23:26:35 - mmengine - INFO - Epoch(train) [51][120/125] lr: 9.6993e-04 eta: 1 day, 4:52:57 time: 0.5180 data_time: 0.0189 memory: 9483 loss_text: 0.9127 loss_center: 2.8360 loss_reg_x: 1.4513 loss_reg_y: 1.1425 loss: 6.3424 2022/08/25 23:26:38 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:26:38 - mmengine - INFO - Epoch(train) [51][125/125] lr: 9.6993e-04 eta: 1 day, 4:52:57 time: 0.5098 data_time: 0.0142 memory: 9483 loss_text: 0.9417 loss_center: 2.8100 loss_reg_x: 1.4240 loss_reg_y: 1.3800 loss: 6.5557 2022/08/25 23:26:41 - mmengine - INFO - Epoch(train) [52][5/125] lr: 9.6933e-04 eta: 1 day, 4:52:57 time: 0.5815 data_time: 0.0889 memory: 9483 loss_text: 0.9796 loss_center: 2.8100 loss_reg_x: 1.6960 loss_reg_y: 1.5529 loss: 7.0385 2022/08/25 23:26:46 - mmengine - INFO - Epoch(train) [52][10/125] lr: 9.6933e-04 eta: 1 day, 4:52:25 time: 0.7789 data_time: 0.0927 memory: 9483 loss_text: 1.0308 loss_center: 2.8266 loss_reg_x: 1.6241 loss_reg_y: 1.3348 loss: 6.8163 2022/08/25 23:26:49 - mmengine - INFO - Epoch(train) [52][15/125] lr: 9.6933e-04 eta: 1 day, 4:52:25 time: 0.7756 data_time: 0.0227 memory: 9483 loss_text: 1.0133 loss_center: 2.8287 loss_reg_x: 1.4263 loss_reg_y: 1.3644 loss: 6.6328 2022/08/25 23:26:51 - mmengine - INFO - Epoch(train) [52][20/125] lr: 9.6933e-04 eta: 1 day, 4:52:18 time: 0.5676 data_time: 0.0198 memory: 9483 loss_text: 0.9893 loss_center: 2.8423 loss_reg_x: 1.5510 loss_reg_y: 1.5878 loss: 6.9704 2022/08/25 23:26:54 - mmengine - INFO - Epoch(train) [52][25/125] lr: 9.6933e-04 eta: 1 day, 4:52:18 time: 0.4859 data_time: 0.0166 memory: 9483 loss_text: 0.9641 loss_center: 2.8366 loss_reg_x: 1.5858 loss_reg_y: 1.6717 loss: 7.0581 2022/08/25 23:26:56 - mmengine - INFO - Epoch(train) [52][30/125] lr: 9.6933e-04 eta: 1 day, 4:51:46 time: 0.4806 data_time: 0.0164 memory: 9483 loss_text: 0.9671 loss_center: 2.8361 loss_reg_x: 1.3671 loss_reg_y: 1.5955 loss: 6.7657 2022/08/25 23:26:58 - mmengine - INFO - Epoch(train) [52][35/125] lr: 9.6933e-04 eta: 1 day, 4:51:46 time: 0.4683 data_time: 0.0141 memory: 9483 loss_text: 0.9384 loss_center: 2.8489 loss_reg_x: 1.2786 loss_reg_y: 1.3426 loss: 6.4086 2022/08/25 23:27:01 - mmengine - INFO - Epoch(train) [52][40/125] lr: 9.6933e-04 eta: 1 day, 4:51:15 time: 0.4855 data_time: 0.0135 memory: 9483 loss_text: 0.8453 loss_center: 2.8322 loss_reg_x: 1.2579 loss_reg_y: 1.2071 loss: 6.1425 2022/08/25 23:27:07 - mmengine - INFO - Epoch(train) [52][45/125] lr: 9.6933e-04 eta: 1 day, 4:51:15 time: 0.8708 data_time: 0.0137 memory: 9483 loss_text: 0.8342 loss_center: 2.8271 loss_reg_x: 1.2688 loss_reg_y: 1.1811 loss: 6.1112 2022/08/25 23:27:10 - mmengine - INFO - Epoch(train) [52][50/125] lr: 9.6933e-04 eta: 1 day, 4:52:42 time: 0.9018 data_time: 0.0265 memory: 9483 loss_text: 0.9013 loss_center: 2.8423 loss_reg_x: 1.6197 loss_reg_y: 1.6235 loss: 6.9866 2022/08/25 23:27:13 - mmengine - INFO - Epoch(train) [52][55/125] lr: 9.6933e-04 eta: 1 day, 4:52:42 time: 0.5559 data_time: 0.0255 memory: 9483 loss_text: 0.8243 loss_center: 2.8179 loss_reg_x: 1.5249 loss_reg_y: 1.6506 loss: 6.8176 2022/08/25 23:27:15 - mmengine - INFO - Epoch(train) [52][60/125] lr: 9.6933e-04 eta: 1 day, 4:52:21 time: 0.5199 data_time: 0.0137 memory: 9483 loss_text: 0.7860 loss_center: 2.8129 loss_reg_x: 1.3709 loss_reg_y: 1.2308 loss: 6.2005 2022/08/25 23:27:17 - mmengine - INFO - Epoch(train) [52][65/125] lr: 9.6933e-04 eta: 1 day, 4:52:21 time: 0.4789 data_time: 0.0142 memory: 9483 loss_text: 0.8594 loss_center: 2.8341 loss_reg_x: 1.3572 loss_reg_y: 1.2392 loss: 6.2898 2022/08/25 23:27:20 - mmengine - INFO - Epoch(train) [52][70/125] lr: 9.6933e-04 eta: 1 day, 4:52:01 time: 0.5233 data_time: 0.0180 memory: 9483 loss_text: 0.9017 loss_center: 2.8240 loss_reg_x: 1.3294 loss_reg_y: 1.2346 loss: 6.2897 2022/08/25 23:27:23 - mmengine - INFO - Epoch(train) [52][75/125] lr: 9.6933e-04 eta: 1 day, 4:52:01 time: 0.5243 data_time: 0.0172 memory: 9483 loss_text: 0.8591 loss_center: 2.8031 loss_reg_x: 1.4786 loss_reg_y: 1.4426 loss: 6.5834 2022/08/25 23:27:28 - mmengine - INFO - Epoch(train) [52][80/125] lr: 9.6933e-04 eta: 1 day, 4:52:53 time: 0.7806 data_time: 0.0615 memory: 9483 loss_text: 0.7877 loss_center: 2.8045 loss_reg_x: 1.3835 loss_reg_y: 1.5835 loss: 6.5592 2022/08/25 23:27:31 - mmengine - INFO - Epoch(train) [52][85/125] lr: 9.6933e-04 eta: 1 day, 4:52:53 time: 0.8069 data_time: 0.0684 memory: 9483 loss_text: 0.8946 loss_center: 2.8122 loss_reg_x: 1.4591 loss_reg_y: 1.4337 loss: 6.5997 2022/08/25 23:27:33 - mmengine - INFO - Epoch(train) [52][90/125] lr: 9.6933e-04 eta: 1 day, 4:52:32 time: 0.5181 data_time: 0.0198 memory: 9483 loss_text: 0.9751 loss_center: 2.8274 loss_reg_x: 1.6672 loss_reg_y: 1.5704 loss: 7.0401 2022/08/25 23:27:36 - mmengine - INFO - Epoch(train) [52][95/125] lr: 9.6933e-04 eta: 1 day, 4:52:32 time: 0.4998 data_time: 0.0149 memory: 9483 loss_text: 0.9693 loss_center: 2.8482 loss_reg_x: 1.6103 loss_reg_y: 1.6332 loss: 7.0610 2022/08/25 23:27:38 - mmengine - INFO - Epoch(train) [52][100/125] lr: 9.6933e-04 eta: 1 day, 4:52:02 time: 0.4908 data_time: 0.0143 memory: 9483 loss_text: 0.8819 loss_center: 2.8156 loss_reg_x: 1.3071 loss_reg_y: 1.1639 loss: 6.1685 2022/08/25 23:27:41 - mmengine - INFO - Epoch(train) [52][105/125] lr: 9.6933e-04 eta: 1 day, 4:52:02 time: 0.5081 data_time: 0.0185 memory: 9483 loss_text: 0.8963 loss_center: 2.7981 loss_reg_x: 1.3360 loss_reg_y: 1.1554 loss: 6.1858 2022/08/25 23:27:44 - mmengine - INFO - Epoch(train) [52][110/125] lr: 9.6933e-04 eta: 1 day, 4:51:54 time: 0.5640 data_time: 0.0193 memory: 9483 loss_text: 0.9088 loss_center: 2.8189 loss_reg_x: 1.4733 loss_reg_y: 1.4322 loss: 6.6332 2022/08/25 23:27:49 - mmengine - INFO - Epoch(train) [52][115/125] lr: 9.6933e-04 eta: 1 day, 4:51:54 time: 0.8176 data_time: 0.0223 memory: 9483 loss_text: 0.8700 loss_center: 2.8350 loss_reg_x: 1.7007 loss_reg_y: 1.4247 loss: 6.8304 2022/08/25 23:27:51 - mmengine - INFO - Epoch(train) [52][120/125] lr: 9.6933e-04 eta: 1 day, 4:52:38 time: 0.7518 data_time: 0.0253 memory: 9483 loss_text: 0.9846 loss_center: 2.8358 loss_reg_x: 1.7989 loss_reg_y: 1.3580 loss: 6.9773 2022/08/25 23:27:54 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:27:54 - mmengine - INFO - Epoch(train) [52][125/125] lr: 9.6933e-04 eta: 1 day, 4:52:38 time: 0.5250 data_time: 0.0160 memory: 9483 loss_text: 0.9731 loss_center: 2.7988 loss_reg_x: 1.5571 loss_reg_y: 1.2514 loss: 6.5804 2022/08/25 23:27:57 - mmengine - INFO - Epoch(train) [53][5/125] lr: 9.6873e-04 eta: 1 day, 4:52:38 time: 0.6019 data_time: 0.0863 memory: 9483 loss_text: 0.8940 loss_center: 2.8085 loss_reg_x: 1.4897 loss_reg_y: 1.3289 loss: 6.5211 2022/08/25 23:28:00 - mmengine - INFO - Epoch(train) [53][10/125] lr: 9.6873e-04 eta: 1 day, 4:51:09 time: 0.5745 data_time: 0.0879 memory: 9483 loss_text: 0.9376 loss_center: 2.8551 loss_reg_x: 1.5189 loss_reg_y: 1.5619 loss: 6.8735 2022/08/25 23:28:03 - mmengine - INFO - Epoch(train) [53][15/125] lr: 9.6873e-04 eta: 1 day, 4:51:09 time: 0.5193 data_time: 0.0167 memory: 9483 loss_text: 0.9476 loss_center: 2.8434 loss_reg_x: 1.5063 loss_reg_y: 1.5743 loss: 6.8716 2022/08/25 23:28:09 - mmengine - INFO - Epoch(train) [53][20/125] lr: 9.6873e-04 eta: 1 day, 4:52:29 time: 0.8812 data_time: 0.0337 memory: 9483 loss_text: 0.9534 loss_center: 2.8253 loss_reg_x: 1.5536 loss_reg_y: 1.5107 loss: 6.8430 2022/08/25 23:28:11 - mmengine - INFO - Epoch(train) [53][25/125] lr: 9.6873e-04 eta: 1 day, 4:52:29 time: 0.8630 data_time: 0.0314 memory: 9483 loss_text: 0.9835 loss_center: 2.8414 loss_reg_x: 1.5175 loss_reg_y: 1.3513 loss: 6.6937 2022/08/25 23:28:14 - mmengine - INFO - Epoch(train) [53][30/125] lr: 9.6873e-04 eta: 1 day, 4:52:03 time: 0.5006 data_time: 0.0160 memory: 9483 loss_text: 0.9641 loss_center: 2.8407 loss_reg_x: 1.5794 loss_reg_y: 1.3391 loss: 6.7233 2022/08/25 23:28:17 - mmengine - INFO - Epoch(train) [53][35/125] lr: 9.6873e-04 eta: 1 day, 4:52:03 time: 0.5424 data_time: 0.0161 memory: 9483 loss_text: 0.9272 loss_center: 2.8264 loss_reg_x: 1.8071 loss_reg_y: 1.4278 loss: 6.9885 2022/08/25 23:28:19 - mmengine - INFO - Epoch(train) [53][40/125] lr: 9.6873e-04 eta: 1 day, 4:51:45 time: 0.5297 data_time: 0.0147 memory: 9483 loss_text: 1.0718 loss_center: 2.8722 loss_reg_x: 2.0065 loss_reg_y: 1.7099 loss: 7.6604 2022/08/25 23:28:22 - mmengine - INFO - Epoch(train) [53][45/125] lr: 9.6873e-04 eta: 1 day, 4:51:45 time: 0.5126 data_time: 0.0138 memory: 9483 loss_text: 1.0847 loss_center: 2.8738 loss_reg_x: 1.9629 loss_reg_y: 2.0467 loss: 7.9681 2022/08/25 23:28:27 - mmengine - INFO - Epoch(train) [53][50/125] lr: 9.6873e-04 eta: 1 day, 4:52:33 time: 0.7697 data_time: 0.0335 memory: 9483 loss_text: 0.9860 loss_center: 2.8457 loss_reg_x: 1.7266 loss_reg_y: 2.1434 loss: 7.7016 2022/08/25 23:28:29 - mmengine - INFO - Epoch(train) [53][55/125] lr: 9.6873e-04 eta: 1 day, 4:52:33 time: 0.7439 data_time: 0.0367 memory: 9483 loss_text: 1.1881 loss_center: 2.8708 loss_reg_x: 1.9887 loss_reg_y: 2.2937 loss: 8.3413 2022/08/25 23:28:32 - mmengine - INFO - Epoch(train) [53][60/125] lr: 9.6873e-04 eta: 1 day, 4:52:10 time: 0.5113 data_time: 0.0160 memory: 9483 loss_text: 1.1576 loss_center: 2.8478 loss_reg_x: 2.0154 loss_reg_y: 1.8525 loss: 7.8733 2022/08/25 23:28:34 - mmengine - INFO - Epoch(train) [53][65/125] lr: 9.6873e-04 eta: 1 day, 4:52:10 time: 0.5036 data_time: 0.0148 memory: 9483 loss_text: 1.0125 loss_center: 2.8280 loss_reg_x: 1.6652 loss_reg_y: 1.3879 loss: 6.8936 2022/08/25 23:28:37 - mmengine - INFO - Epoch(train) [53][70/125] lr: 9.6873e-04 eta: 1 day, 4:51:37 time: 0.4760 data_time: 0.0158 memory: 9483 loss_text: 0.9035 loss_center: 2.8213 loss_reg_x: 1.3778 loss_reg_y: 1.2624 loss: 6.3649 2022/08/25 23:28:39 - mmengine - INFO - Epoch(train) [53][75/125] lr: 9.6873e-04 eta: 1 day, 4:51:37 time: 0.5149 data_time: 0.0139 memory: 9483 loss_text: 0.8669 loss_center: 2.8209 loss_reg_x: 1.3902 loss_reg_y: 1.3761 loss: 6.4541 2022/08/25 23:28:42 - mmengine - INFO - Epoch(train) [53][80/125] lr: 9.6873e-04 eta: 1 day, 4:51:15 time: 0.5172 data_time: 0.0121 memory: 9483 loss_text: 0.9610 loss_center: 2.8295 loss_reg_x: 1.6050 loss_reg_y: 1.4686 loss: 6.8642 2022/08/25 23:28:46 - mmengine - INFO - Epoch(train) [53][85/125] lr: 9.6873e-04 eta: 1 day, 4:51:15 time: 0.6833 data_time: 0.0184 memory: 9483 loss_text: 1.0163 loss_center: 2.8232 loss_reg_x: 1.6877 loss_reg_y: 1.4586 loss: 6.9858 2022/08/25 23:28:49 - mmengine - INFO - Epoch(train) [53][90/125] lr: 9.6873e-04 eta: 1 day, 4:51:47 time: 0.7085 data_time: 0.0207 memory: 9483 loss_text: 1.0244 loss_center: 2.8286 loss_reg_x: 1.6812 loss_reg_y: 1.4939 loss: 7.0280 2022/08/25 23:28:51 - mmengine - INFO - Epoch(train) [53][95/125] lr: 9.6873e-04 eta: 1 day, 4:51:47 time: 0.5164 data_time: 0.0150 memory: 9483 loss_text: 0.9725 loss_center: 2.8168 loss_reg_x: 1.6433 loss_reg_y: 1.2652 loss: 6.6977 2022/08/25 23:28:54 - mmengine - INFO - Epoch(train) [53][100/125] lr: 9.6873e-04 eta: 1 day, 4:51:21 time: 0.5034 data_time: 0.0133 memory: 9483 loss_text: 0.8934 loss_center: 2.8123 loss_reg_x: 1.4395 loss_reg_y: 1.0769 loss: 6.2221 2022/08/25 23:28:57 - mmengine - INFO - Epoch(train) [53][105/125] lr: 9.6873e-04 eta: 1 day, 4:51:21 time: 0.5093 data_time: 0.0140 memory: 9483 loss_text: 0.8541 loss_center: 2.8043 loss_reg_x: 1.4291 loss_reg_y: 1.2097 loss: 6.2972 2022/08/25 23:28:59 - mmengine - INFO - Epoch(train) [53][110/125] lr: 9.6873e-04 eta: 1 day, 4:50:53 time: 0.4907 data_time: 0.0154 memory: 9483 loss_text: 1.0018 loss_center: 2.8221 loss_reg_x: 1.6877 loss_reg_y: 1.4539 loss: 6.9655 2022/08/25 23:29:02 - mmengine - INFO - Epoch(train) [53][115/125] lr: 9.6873e-04 eta: 1 day, 4:50:53 time: 0.4950 data_time: 0.0155 memory: 9483 loss_text: 1.0149 loss_center: 2.8443 loss_reg_x: 1.5693 loss_reg_y: 1.4260 loss: 6.8544 2022/08/25 23:29:05 - mmengine - INFO - Epoch(train) [53][120/125] lr: 9.6873e-04 eta: 1 day, 4:51:06 time: 0.6436 data_time: 0.0304 memory: 9483 loss_text: 0.9058 loss_center: 2.8101 loss_reg_x: 1.3917 loss_reg_y: 1.2731 loss: 6.3807 2022/08/25 23:29:10 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:29:10 - mmengine - INFO - Epoch(train) [53][125/125] lr: 9.6873e-04 eta: 1 day, 4:51:06 time: 0.8035 data_time: 0.0307 memory: 9483 loss_text: 0.8662 loss_center: 2.7969 loss_reg_x: 1.4485 loss_reg_y: 1.2985 loss: 6.4101 2022/08/25 23:29:13 - mmengine - INFO - Epoch(train) [54][5/125] lr: 9.6812e-04 eta: 1 day, 4:51:06 time: 0.7790 data_time: 0.1230 memory: 9483 loss_text: 0.9453 loss_center: 2.8293 loss_reg_x: 1.6871 loss_reg_y: 1.5390 loss: 7.0006 2022/08/25 23:29:16 - mmengine - INFO - Epoch(train) [54][10/125] lr: 9.6812e-04 eta: 1 day, 4:49:48 time: 0.6084 data_time: 0.1222 memory: 9483 loss_text: 1.0002 loss_center: 2.8423 loss_reg_x: 1.6196 loss_reg_y: 1.5247 loss: 6.9869 2022/08/25 23:29:18 - mmengine - INFO - Epoch(train) [54][15/125] lr: 9.6812e-04 eta: 1 day, 4:49:48 time: 0.5234 data_time: 0.0138 memory: 9483 loss_text: 0.9601 loss_center: 2.7942 loss_reg_x: 1.2672 loss_reg_y: 1.1364 loss: 6.1578 2022/08/25 23:29:21 - mmengine - INFO - Epoch(train) [54][20/125] lr: 9.6812e-04 eta: 1 day, 4:49:34 time: 0.5402 data_time: 0.0140 memory: 9483 loss_text: 0.9876 loss_center: 2.7804 loss_reg_x: 1.1869 loss_reg_y: 0.9565 loss: 5.9113 2022/08/25 23:29:25 - mmengine - INFO - Epoch(train) [54][25/125] lr: 9.6812e-04 eta: 1 day, 4:49:34 time: 0.6252 data_time: 0.0157 memory: 9483 loss_text: 0.9962 loss_center: 2.8222 loss_reg_x: 1.3484 loss_reg_y: 1.2283 loss: 6.3951 2022/08/25 23:29:27 - mmengine - INFO - Epoch(train) [54][30/125] lr: 9.6812e-04 eta: 1 day, 4:49:36 time: 0.6031 data_time: 0.0160 memory: 9483 loss_text: 1.0167 loss_center: 2.8432 loss_reg_x: 1.5088 loss_reg_y: 1.5082 loss: 6.8769 2022/08/25 23:29:30 - mmengine - INFO - Epoch(train) [54][35/125] lr: 9.6812e-04 eta: 1 day, 4:49:36 time: 0.4917 data_time: 0.0138 memory: 9483 loss_text: 0.9908 loss_center: 2.8560 loss_reg_x: 1.7147 loss_reg_y: 1.6471 loss: 7.2087 2022/08/25 23:29:32 - mmengine - INFO - Epoch(train) [54][40/125] lr: 9.6812e-04 eta: 1 day, 4:49:14 time: 0.5143 data_time: 0.0125 memory: 9483 loss_text: 0.9528 loss_center: 2.8580 loss_reg_x: 1.6271 loss_reg_y: 1.4493 loss: 6.8872 2022/08/25 23:29:36 - mmengine - INFO - Epoch(train) [54][45/125] lr: 9.6812e-04 eta: 1 day, 4:49:14 time: 0.6183 data_time: 0.0156 memory: 9483 loss_text: 1.0018 loss_center: 2.8441 loss_reg_x: 1.4515 loss_reg_y: 1.4473 loss: 6.7447 2022/08/25 23:29:38 - mmengine - INFO - Epoch(train) [54][50/125] lr: 9.6812e-04 eta: 1 day, 4:49:19 time: 0.6141 data_time: 0.0160 memory: 9483 loss_text: 0.9436 loss_center: 2.8295 loss_reg_x: 1.4740 loss_reg_y: 1.5349 loss: 6.7821 2022/08/25 23:29:41 - mmengine - INFO - Epoch(train) [54][55/125] lr: 9.6812e-04 eta: 1 day, 4:49:19 time: 0.5208 data_time: 0.0130 memory: 9483 loss_text: 0.8737 loss_center: 2.8093 loss_reg_x: 1.4194 loss_reg_y: 1.3353 loss: 6.4377 2022/08/25 23:29:44 - mmengine - INFO - Epoch(train) [54][60/125] lr: 9.6812e-04 eta: 1 day, 4:49:07 time: 0.5514 data_time: 0.0147 memory: 9483 loss_text: 0.9658 loss_center: 2.8068 loss_reg_x: 1.4797 loss_reg_y: 1.4357 loss: 6.6881 2022/08/25 23:29:48 - mmengine - INFO - Epoch(train) [54][65/125] lr: 9.6812e-04 eta: 1 day, 4:49:07 time: 0.7163 data_time: 0.0526 memory: 9483 loss_text: 1.0239 loss_center: 2.8303 loss_reg_x: 1.5451 loss_reg_y: 1.5038 loss: 6.9031 2022/08/25 23:29:51 - mmengine - INFO - Epoch(train) [54][70/125] lr: 9.6812e-04 eta: 1 day, 4:49:27 time: 0.6676 data_time: 0.0508 memory: 9483 loss_text: 0.9643 loss_center: 2.8389 loss_reg_x: 1.5941 loss_reg_y: 1.3553 loss: 6.7527 2022/08/25 23:29:53 - mmengine - INFO - Epoch(train) [54][75/125] lr: 9.6812e-04 eta: 1 day, 4:49:27 time: 0.4885 data_time: 0.0129 memory: 9483 loss_text: 0.8609 loss_center: 2.8347 loss_reg_x: 1.3791 loss_reg_y: 1.1613 loss: 6.2360 2022/08/25 23:29:56 - mmengine - INFO - Epoch(train) [54][80/125] lr: 9.6812e-04 eta: 1 day, 4:49:15 time: 0.5508 data_time: 0.0285 memory: 9483 loss_text: 0.9074 loss_center: 2.8417 loss_reg_x: 1.2736 loss_reg_y: 1.2383 loss: 6.2610 2022/08/25 23:29:59 - mmengine - INFO - Epoch(train) [54][85/125] lr: 9.6812e-04 eta: 1 day, 4:49:15 time: 0.5486 data_time: 0.0312 memory: 9483 loss_text: 0.9712 loss_center: 2.8354 loss_reg_x: 1.4750 loss_reg_y: 1.3288 loss: 6.6104 2022/08/25 23:30:01 - mmengine - INFO - Epoch(train) [54][90/125] lr: 9.6812e-04 eta: 1 day, 4:48:54 time: 0.5165 data_time: 0.0155 memory: 9483 loss_text: 1.0024 loss_center: 2.7868 loss_reg_x: 1.5986 loss_reg_y: 1.2784 loss: 6.6661 2022/08/25 23:30:04 - mmengine - INFO - Epoch(train) [54][95/125] lr: 9.6812e-04 eta: 1 day, 4:48:54 time: 0.5869 data_time: 0.0143 memory: 9483 loss_text: 0.9541 loss_center: 2.7917 loss_reg_x: 1.6599 loss_reg_y: 1.3866 loss: 6.7923 2022/08/25 23:30:07 - mmengine - INFO - Epoch(train) [54][100/125] lr: 9.6812e-04 eta: 1 day, 4:48:43 time: 0.5556 data_time: 0.0240 memory: 9483 loss_text: 0.8728 loss_center: 2.8264 loss_reg_x: 1.5973 loss_reg_y: 1.4209 loss: 6.7174 2022/08/25 23:30:09 - mmengine - INFO - Epoch(train) [54][105/125] lr: 9.6812e-04 eta: 1 day, 4:48:43 time: 0.4871 data_time: 0.0244 memory: 9483 loss_text: 0.9176 loss_center: 2.8032 loss_reg_x: 1.3583 loss_reg_y: 1.1567 loss: 6.2357 2022/08/25 23:30:12 - mmengine - INFO - Epoch(train) [54][110/125] lr: 9.6812e-04 eta: 1 day, 4:48:15 time: 0.4903 data_time: 0.0146 memory: 9483 loss_text: 0.9011 loss_center: 2.8098 loss_reg_x: 1.4208 loss_reg_y: 1.2986 loss: 6.4302 2022/08/25 23:30:14 - mmengine - INFO - Epoch(train) [54][115/125] lr: 9.6812e-04 eta: 1 day, 4:48:15 time: 0.4884 data_time: 0.0157 memory: 9483 loss_text: 1.0422 loss_center: 2.8501 loss_reg_x: 1.7135 loss_reg_y: 1.6601 loss: 7.2658 2022/08/25 23:30:17 - mmengine - INFO - Epoch(train) [54][120/125] lr: 9.6812e-04 eta: 1 day, 4:47:44 time: 0.4788 data_time: 0.0154 memory: 9483 loss_text: 1.0457 loss_center: 2.8331 loss_reg_x: 1.7054 loss_reg_y: 1.4527 loss: 7.0369 2022/08/25 23:30:19 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:30:19 - mmengine - INFO - Epoch(train) [54][125/125] lr: 9.6812e-04 eta: 1 day, 4:47:44 time: 0.5155 data_time: 0.0164 memory: 9483 loss_text: 0.9168 loss_center: 2.7935 loss_reg_x: 1.4706 loss_reg_y: 1.1000 loss: 6.2810 2022/08/25 23:30:23 - mmengine - INFO - Epoch(train) [55][5/125] lr: 9.6752e-04 eta: 1 day, 4:47:44 time: 0.5970 data_time: 0.0811 memory: 9483 loss_text: 1.0508 loss_center: 2.8202 loss_reg_x: 1.5401 loss_reg_y: 1.1258 loss: 6.5368 2022/08/25 23:30:28 - mmengine - INFO - Epoch(train) [55][10/125] lr: 9.6752e-04 eta: 1 day, 4:47:31 time: 0.8436 data_time: 0.0882 memory: 9483 loss_text: 1.0252 loss_center: 2.8388 loss_reg_x: 1.4671 loss_reg_y: 1.3034 loss: 6.6345 2022/08/25 23:30:30 - mmengine - INFO - Epoch(train) [55][15/125] lr: 9.6752e-04 eta: 1 day, 4:47:31 time: 0.7725 data_time: 0.0237 memory: 9483 loss_text: 0.9224 loss_center: 2.8274 loss_reg_x: 1.2015 loss_reg_y: 1.3901 loss: 6.3414 2022/08/25 23:30:33 - mmengine - INFO - Epoch(train) [55][20/125] lr: 9.6752e-04 eta: 1 day, 4:47:06 time: 0.5035 data_time: 0.0158 memory: 9483 loss_text: 0.9180 loss_center: 2.8171 loss_reg_x: 1.3643 loss_reg_y: 1.3304 loss: 6.4298 2022/08/25 23:30:35 - mmengine - INFO - Epoch(train) [55][25/125] lr: 9.6752e-04 eta: 1 day, 4:47:06 time: 0.5067 data_time: 0.0153 memory: 9483 loss_text: 0.9021 loss_center: 2.8234 loss_reg_x: 1.5903 loss_reg_y: 1.5016 loss: 6.8174 2022/08/25 23:30:38 - mmengine - INFO - Epoch(train) [55][30/125] lr: 9.6752e-04 eta: 1 day, 4:46:52 time: 0.5406 data_time: 0.0139 memory: 9483 loss_text: 0.9526 loss_center: 2.8512 loss_reg_x: 1.7366 loss_reg_y: 1.5446 loss: 7.0849 2022/08/25 23:30:41 - mmengine - INFO - Epoch(train) [55][35/125] lr: 9.6752e-04 eta: 1 day, 4:46:52 time: 0.5527 data_time: 0.0160 memory: 9483 loss_text: 0.9523 loss_center: 2.8360 loss_reg_x: 1.7196 loss_reg_y: 1.4143 loss: 6.9222 2022/08/25 23:30:43 - mmengine - INFO - Epoch(train) [55][40/125] lr: 9.6752e-04 eta: 1 day, 4:46:32 time: 0.5189 data_time: 0.0164 memory: 9483 loss_text: 0.9568 loss_center: 2.8331 loss_reg_x: 1.6266 loss_reg_y: 1.5541 loss: 6.9706 2022/08/25 23:30:47 - mmengine - INFO - Epoch(train) [55][45/125] lr: 9.6752e-04 eta: 1 day, 4:46:32 time: 0.5711 data_time: 0.0175 memory: 9483 loss_text: 1.0108 loss_center: 2.8473 loss_reg_x: 1.4945 loss_reg_y: 1.5738 loss: 6.9264 2022/08/25 23:30:49 - mmengine - INFO - Epoch(train) [55][50/125] lr: 9.6752e-04 eta: 1 day, 4:46:25 time: 0.5688 data_time: 0.0160 memory: 9483 loss_text: 0.9823 loss_center: 2.8416 loss_reg_x: 1.5131 loss_reg_y: 1.5738 loss: 6.9109 2022/08/25 23:30:52 - mmengine - INFO - Epoch(train) [55][55/125] lr: 9.6752e-04 eta: 1 day, 4:46:25 time: 0.4927 data_time: 0.0130 memory: 9483 loss_text: 0.9512 loss_center: 2.8415 loss_reg_x: 1.5187 loss_reg_y: 1.4974 loss: 6.8088 2022/08/25 23:30:55 - mmengine - INFO - Epoch(train) [55][60/125] lr: 9.6752e-04 eta: 1 day, 4:46:12 time: 0.5453 data_time: 0.0208 memory: 9483 loss_text: 0.8902 loss_center: 2.8284 loss_reg_x: 1.4933 loss_reg_y: 1.3747 loss: 6.5865 2022/08/25 23:30:57 - mmengine - INFO - Epoch(train) [55][65/125] lr: 9.6752e-04 eta: 1 day, 4:46:12 time: 0.5571 data_time: 0.0222 memory: 9483 loss_text: 0.8800 loss_center: 2.8140 loss_reg_x: 1.4535 loss_reg_y: 1.1538 loss: 6.3012 2022/08/25 23:31:00 - mmengine - INFO - Epoch(train) [55][70/125] lr: 9.6752e-04 eta: 1 day, 4:45:56 time: 0.5368 data_time: 0.0140 memory: 9483 loss_text: 0.9496 loss_center: 2.8104 loss_reg_x: 1.3839 loss_reg_y: 1.2213 loss: 6.3652 2022/08/25 23:31:02 - mmengine - INFO - Epoch(train) [55][75/125] lr: 9.6752e-04 eta: 1 day, 4:45:56 time: 0.5352 data_time: 0.0165 memory: 9483 loss_text: 0.9179 loss_center: 2.8092 loss_reg_x: 1.3296 loss_reg_y: 1.2382 loss: 6.2949 2022/08/25 23:31:07 - mmengine - INFO - Epoch(train) [55][80/125] lr: 9.6752e-04 eta: 1 day, 4:46:31 time: 0.7260 data_time: 0.0185 memory: 9483 loss_text: 0.9686 loss_center: 2.8111 loss_reg_x: 1.4307 loss_reg_y: 1.0985 loss: 6.3089 2022/08/25 23:31:10 - mmengine - INFO - Epoch(train) [55][85/125] lr: 9.6752e-04 eta: 1 day, 4:46:31 time: 0.7202 data_time: 0.0156 memory: 9483 loss_text: 0.9731 loss_center: 2.8075 loss_reg_x: 1.4239 loss_reg_y: 1.0722 loss: 6.2767 2022/08/25 23:31:12 - mmengine - INFO - Epoch(train) [55][90/125] lr: 9.6752e-04 eta: 1 day, 4:46:07 time: 0.5057 data_time: 0.0133 memory: 9483 loss_text: 0.8765 loss_center: 2.8008 loss_reg_x: 1.1940 loss_reg_y: 1.0252 loss: 5.8964 2022/08/25 23:31:15 - mmengine - INFO - Epoch(train) [55][95/125] lr: 9.6752e-04 eta: 1 day, 4:46:07 time: 0.5223 data_time: 0.0148 memory: 9483 loss_text: 0.9370 loss_center: 2.8209 loss_reg_x: 1.3388 loss_reg_y: 1.1228 loss: 6.2196 2022/08/25 23:31:17 - mmengine - INFO - Epoch(train) [55][100/125] lr: 9.6752e-04 eta: 1 day, 4:45:46 time: 0.5122 data_time: 0.0185 memory: 9483 loss_text: 0.9436 loss_center: 2.8336 loss_reg_x: 1.3558 loss_reg_y: 1.1441 loss: 6.2772 2022/08/25 23:31:20 - mmengine - INFO - Epoch(train) [55][105/125] lr: 9.6752e-04 eta: 1 day, 4:45:46 time: 0.5156 data_time: 0.0170 memory: 9483 loss_text: 0.8704 loss_center: 2.8343 loss_reg_x: 1.3382 loss_reg_y: 1.3056 loss: 6.3486 2022/08/25 23:31:23 - mmengine - INFO - Epoch(train) [55][110/125] lr: 9.6752e-04 eta: 1 day, 4:45:28 time: 0.5290 data_time: 0.0141 memory: 9483 loss_text: 0.8762 loss_center: 2.8334 loss_reg_x: 1.5070 loss_reg_y: 1.4128 loss: 6.6294 2022/08/25 23:31:28 - mmengine - INFO - Epoch(train) [55][115/125] lr: 9.6752e-04 eta: 1 day, 4:45:28 time: 0.7859 data_time: 0.0774 memory: 9483 loss_text: 0.9103 loss_center: 2.8292 loss_reg_x: 1.4155 loss_reg_y: 1.4499 loss: 6.6049 2022/08/25 23:31:30 - mmengine - INFO - Epoch(train) [55][120/125] lr: 9.6752e-04 eta: 1 day, 4:46:16 time: 0.7776 data_time: 0.0802 memory: 9483 loss_text: 0.9043 loss_center: 2.7971 loss_reg_x: 1.2118 loss_reg_y: 1.2902 loss: 6.2034 2022/08/25 23:31:33 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:31:33 - mmengine - INFO - Epoch(train) [55][125/125] lr: 9.6752e-04 eta: 1 day, 4:46:16 time: 0.5013 data_time: 0.0162 memory: 9483 loss_text: 0.9124 loss_center: 2.7731 loss_reg_x: 1.1627 loss_reg_y: 1.0363 loss: 5.8845 2022/08/25 23:31:37 - mmengine - INFO - Epoch(train) [56][5/125] lr: 9.6692e-04 eta: 1 day, 4:46:16 time: 0.6937 data_time: 0.0664 memory: 9483 loss_text: 0.9908 loss_center: 2.8088 loss_reg_x: 1.3336 loss_reg_y: 1.2351 loss: 6.3683 2022/08/25 23:31:40 - mmengine - INFO - Epoch(train) [56][10/125] lr: 9.6692e-04 eta: 1 day, 4:45:27 time: 0.7071 data_time: 0.0670 memory: 9483 loss_text: 1.0019 loss_center: 2.8321 loss_reg_x: 1.4553 loss_reg_y: 1.4676 loss: 6.7569 2022/08/25 23:31:43 - mmengine - INFO - Epoch(train) [56][15/125] lr: 9.6692e-04 eta: 1 day, 4:45:27 time: 0.5258 data_time: 0.0167 memory: 9483 loss_text: 1.0242 loss_center: 2.8247 loss_reg_x: 1.3148 loss_reg_y: 1.2559 loss: 6.4196 2022/08/25 23:31:46 - mmengine - INFO - Epoch(train) [56][20/125] lr: 9.6692e-04 eta: 1 day, 4:45:40 time: 0.6426 data_time: 0.0180 memory: 9483 loss_text: 0.9606 loss_center: 2.7524 loss_reg_x: 1.1994 loss_reg_y: 0.9529 loss: 5.8653 2022/08/25 23:31:49 - mmengine - INFO - Epoch(train) [56][25/125] lr: 9.6692e-04 eta: 1 day, 4:45:40 time: 0.6267 data_time: 0.0171 memory: 9483 loss_text: 0.8878 loss_center: 2.7702 loss_reg_x: 1.2899 loss_reg_y: 1.1373 loss: 6.0852 2022/08/25 23:31:51 - mmengine - INFO - Epoch(train) [56][30/125] lr: 9.6692e-04 eta: 1 day, 4:45:15 time: 0.5006 data_time: 0.0163 memory: 9483 loss_text: 0.9210 loss_center: 2.8388 loss_reg_x: 1.4208 loss_reg_y: 1.2712 loss: 6.4518 2022/08/25 23:31:54 - mmengine - INFO - Epoch(train) [56][35/125] lr: 9.6692e-04 eta: 1 day, 4:45:15 time: 0.5369 data_time: 0.0157 memory: 9483 loss_text: 0.9748 loss_center: 2.8164 loss_reg_x: 1.4385 loss_reg_y: 1.1889 loss: 6.4185 2022/08/25 23:31:57 - mmengine - INFO - Epoch(train) [56][40/125] lr: 9.6692e-04 eta: 1 day, 4:45:02 time: 0.5443 data_time: 0.0185 memory: 9483 loss_text: 0.9642 loss_center: 2.8083 loss_reg_x: 1.4598 loss_reg_y: 1.2143 loss: 6.4466 2022/08/25 23:31:59 - mmengine - INFO - Epoch(train) [56][45/125] lr: 9.6692e-04 eta: 1 day, 4:45:02 time: 0.4894 data_time: 0.0165 memory: 9483 loss_text: 0.9193 loss_center: 2.8208 loss_reg_x: 1.5280 loss_reg_y: 1.3113 loss: 6.5795 2022/08/25 23:32:02 - mmengine - INFO - Epoch(train) [56][50/125] lr: 9.6692e-04 eta: 1 day, 4:44:28 time: 0.4671 data_time: 0.0132 memory: 9483 loss_text: 1.0073 loss_center: 2.8319 loss_reg_x: 1.7184 loss_reg_y: 1.4354 loss: 6.9930 2022/08/25 23:32:06 - mmengine - INFO - Epoch(train) [56][55/125] lr: 9.6692e-04 eta: 1 day, 4:44:28 time: 0.6295 data_time: 0.0158 memory: 9483 loss_text: 1.0421 loss_center: 2.8412 loss_reg_x: 1.7940 loss_reg_y: 1.4273 loss: 7.1046 2022/08/25 23:32:08 - mmengine - INFO - Epoch(train) [56][60/125] lr: 9.6692e-04 eta: 1 day, 4:44:51 time: 0.6805 data_time: 0.0216 memory: 9483 loss_text: 0.8938 loss_center: 2.8265 loss_reg_x: 1.5322 loss_reg_y: 1.3195 loss: 6.5720 2022/08/25 23:32:11 - mmengine - INFO - Epoch(train) [56][65/125] lr: 9.6692e-04 eta: 1 day, 4:44:51 time: 0.5310 data_time: 0.0192 memory: 9483 loss_text: 0.8949 loss_center: 2.8277 loss_reg_x: 1.5598 loss_reg_y: 1.4929 loss: 6.7753 2022/08/25 23:32:14 - mmengine - INFO - Epoch(train) [56][70/125] lr: 9.6692e-04 eta: 1 day, 4:44:32 time: 0.5214 data_time: 0.0130 memory: 9483 loss_text: 0.9250 loss_center: 2.8309 loss_reg_x: 1.5570 loss_reg_y: 1.4845 loss: 6.7974 2022/08/25 23:32:19 - mmengine - INFO - Epoch(train) [56][75/125] lr: 9.6692e-04 eta: 1 day, 4:44:32 time: 0.8309 data_time: 0.0149 memory: 9483 loss_text: 0.9245 loss_center: 2.8170 loss_reg_x: 1.3890 loss_reg_y: 1.3285 loss: 6.4590 2022/08/25 23:32:22 - mmengine - INFO - Epoch(train) [56][80/125] lr: 9.6692e-04 eta: 1 day, 4:45:32 time: 0.8296 data_time: 0.0142 memory: 9483 loss_text: 0.9406 loss_center: 2.8340 loss_reg_x: 1.4046 loss_reg_y: 1.4739 loss: 6.6531 2022/08/25 23:32:25 - mmengine - INFO - Epoch(train) [56][85/125] lr: 9.6692e-04 eta: 1 day, 4:45:32 time: 0.6239 data_time: 0.0360 memory: 9483 loss_text: 0.8606 loss_center: 2.8259 loss_reg_x: 1.3366 loss_reg_y: 1.4070 loss: 6.4300 2022/08/25 23:32:28 - mmengine - INFO - Epoch(train) [56][90/125] lr: 9.6692e-04 eta: 1 day, 4:45:32 time: 0.5954 data_time: 0.0391 memory: 9483 loss_text: 0.8560 loss_center: 2.7998 loss_reg_x: 1.3104 loss_reg_y: 1.3240 loss: 6.2902 2022/08/25 23:32:31 - mmengine - INFO - Epoch(train) [56][95/125] lr: 9.6692e-04 eta: 1 day, 4:45:32 time: 0.5135 data_time: 0.0191 memory: 9483 loss_text: 0.8514 loss_center: 2.7956 loss_reg_x: 1.2851 loss_reg_y: 1.4042 loss: 6.3362 2022/08/25 23:32:33 - mmengine - INFO - Epoch(train) [56][100/125] lr: 9.6692e-04 eta: 1 day, 4:45:12 time: 0.5154 data_time: 0.0173 memory: 9483 loss_text: 0.9199 loss_center: 2.8260 loss_reg_x: 1.4511 loss_reg_y: 1.4736 loss: 6.6707 2022/08/25 23:32:36 - mmengine - INFO - Epoch(train) [56][105/125] lr: 9.6692e-04 eta: 1 day, 4:45:12 time: 0.5054 data_time: 0.0148 memory: 9483 loss_text: 0.9710 loss_center: 2.8372 loss_reg_x: 1.8559 loss_reg_y: 1.6568 loss: 7.3209 2022/08/25 23:32:38 - mmengine - INFO - Epoch(train) [56][110/125] lr: 9.6692e-04 eta: 1 day, 4:44:49 time: 0.5101 data_time: 0.0165 memory: 9483 loss_text: 1.0201 loss_center: 2.8232 loss_reg_x: 1.8870 loss_reg_y: 1.9570 loss: 7.6873 2022/08/25 23:32:41 - mmengine - INFO - Epoch(train) [56][115/125] lr: 9.6692e-04 eta: 1 day, 4:44:49 time: 0.5111 data_time: 0.0184 memory: 9483 loss_text: 1.0312 loss_center: 2.8312 loss_reg_x: 1.6067 loss_reg_y: 1.6647 loss: 7.1338 2022/08/25 23:32:43 - mmengine - INFO - Epoch(train) [56][120/125] lr: 9.6692e-04 eta: 1 day, 4:44:27 time: 0.5071 data_time: 0.0167 memory: 9483 loss_text: 1.0125 loss_center: 2.8241 loss_reg_x: 1.5733 loss_reg_y: 1.3852 loss: 6.7951 2022/08/25 23:32:49 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:32:49 - mmengine - INFO - Epoch(train) [56][125/125] lr: 9.6692e-04 eta: 1 day, 4:44:27 time: 0.8264 data_time: 0.0141 memory: 9483 loss_text: 1.0487 loss_center: 2.8400 loss_reg_x: 1.7604 loss_reg_y: 1.5251 loss: 7.1742 2022/08/25 23:32:52 - mmengine - INFO - Epoch(train) [57][5/125] lr: 9.6632e-04 eta: 1 day, 4:44:27 time: 0.8820 data_time: 0.0807 memory: 9483 loss_text: 0.9763 loss_center: 2.8585 loss_reg_x: 1.5603 loss_reg_y: 1.5254 loss: 6.9205 2022/08/25 23:32:55 - mmengine - INFO - Epoch(train) [57][10/125] lr: 9.6632e-04 eta: 1 day, 4:43:03 time: 0.5677 data_time: 0.0803 memory: 9483 loss_text: 0.8557 loss_center: 2.8181 loss_reg_x: 1.3015 loss_reg_y: 1.4250 loss: 6.4003 2022/08/25 23:32:57 - mmengine - INFO - Epoch(train) [57][15/125] lr: 9.6632e-04 eta: 1 day, 4:43:03 time: 0.5192 data_time: 0.0134 memory: 9483 loss_text: 0.8666 loss_center: 2.8017 loss_reg_x: 1.3125 loss_reg_y: 1.2909 loss: 6.2716 2022/08/25 23:33:00 - mmengine - INFO - Epoch(train) [57][20/125] lr: 9.6632e-04 eta: 1 day, 4:42:40 time: 0.5063 data_time: 0.0139 memory: 9483 loss_text: 0.9178 loss_center: 2.8201 loss_reg_x: 1.2073 loss_reg_y: 1.3262 loss: 6.2713 2022/08/25 23:33:02 - mmengine - INFO - Epoch(train) [57][25/125] lr: 9.6632e-04 eta: 1 day, 4:42:40 time: 0.5149 data_time: 0.0165 memory: 9483 loss_text: 0.9544 loss_center: 2.8189 loss_reg_x: 1.4482 loss_reg_y: 1.3694 loss: 6.5909 2022/08/25 23:33:07 - mmengine - INFO - Epoch(train) [57][30/125] lr: 9.6632e-04 eta: 1 day, 4:43:10 time: 0.7105 data_time: 0.0162 memory: 9483 loss_text: 0.9020 loss_center: 2.8145 loss_reg_x: 1.3948 loss_reg_y: 1.1593 loss: 6.2707 2022/08/25 23:33:09 - mmengine - INFO - Epoch(train) [57][35/125] lr: 9.6632e-04 eta: 1 day, 4:43:10 time: 0.7054 data_time: 0.0127 memory: 9483 loss_text: 0.8512 loss_center: 2.8118 loss_reg_x: 1.2170 loss_reg_y: 1.1059 loss: 5.9858 2022/08/25 23:33:12 - mmengine - INFO - Epoch(train) [57][40/125] lr: 9.6632e-04 eta: 1 day, 4:42:50 time: 0.5178 data_time: 0.0153 memory: 9483 loss_text: 0.8809 loss_center: 2.8277 loss_reg_x: 1.5357 loss_reg_y: 1.3131 loss: 6.5574 2022/08/25 23:33:15 - mmengine - INFO - Epoch(train) [57][45/125] lr: 9.6632e-04 eta: 1 day, 4:42:50 time: 0.5194 data_time: 0.0221 memory: 9483 loss_text: 0.8948 loss_center: 2.8401 loss_reg_x: 1.4074 loss_reg_y: 1.6382 loss: 6.7805 2022/08/25 23:33:17 - mmengine - INFO - Epoch(train) [57][50/125] lr: 9.6632e-04 eta: 1 day, 4:42:28 time: 0.5101 data_time: 0.0199 memory: 9483 loss_text: 0.9695 loss_center: 2.8178 loss_reg_x: 1.2708 loss_reg_y: 1.5890 loss: 6.6470 2022/08/25 23:33:20 - mmengine - INFO - Epoch(train) [57][55/125] lr: 9.6632e-04 eta: 1 day, 4:42:28 time: 0.5146 data_time: 0.0131 memory: 9483 loss_text: 0.9875 loss_center: 2.8267 loss_reg_x: 1.5209 loss_reg_y: 1.4823 loss: 6.8173 2022/08/25 23:33:22 - mmengine - INFO - Epoch(train) [57][60/125] lr: 9.6632e-04 eta: 1 day, 4:42:02 time: 0.4946 data_time: 0.0144 memory: 9483 loss_text: 0.9706 loss_center: 2.8365 loss_reg_x: 1.6964 loss_reg_y: 1.8039 loss: 7.3074 2022/08/25 23:33:26 - mmengine - INFO - Epoch(train) [57][65/125] lr: 9.6632e-04 eta: 1 day, 4:42:02 time: 0.6291 data_time: 0.0182 memory: 9483 loss_text: 0.9527 loss_center: 2.8213 loss_reg_x: 1.5196 loss_reg_y: 1.5604 loss: 6.8540 2022/08/25 23:33:28 - mmengine - INFO - Epoch(train) [57][70/125] lr: 9.6632e-04 eta: 1 day, 4:42:15 time: 0.6428 data_time: 0.0174 memory: 9483 loss_text: 0.9213 loss_center: 2.8347 loss_reg_x: 1.3816 loss_reg_y: 1.3697 loss: 6.5073 2022/08/25 23:33:31 - mmengine - INFO - Epoch(train) [57][75/125] lr: 9.6632e-04 eta: 1 day, 4:42:15 time: 0.4746 data_time: 0.0139 memory: 9483 loss_text: 0.9563 loss_center: 2.8532 loss_reg_x: 1.3896 loss_reg_y: 1.5184 loss: 6.7173 2022/08/25 23:33:34 - mmengine - INFO - Epoch(train) [57][80/125] lr: 9.6632e-04 eta: 1 day, 4:41:53 time: 0.5096 data_time: 0.0133 memory: 9483 loss_text: 0.9378 loss_center: 2.8340 loss_reg_x: 1.3939 loss_reg_y: 1.5506 loss: 6.7162 2022/08/25 23:33:36 - mmengine - INFO - Epoch(train) [57][85/125] lr: 9.6632e-04 eta: 1 day, 4:41:53 time: 0.5436 data_time: 0.0150 memory: 9483 loss_text: 0.8418 loss_center: 2.8066 loss_reg_x: 1.3286 loss_reg_y: 1.3417 loss: 6.3187 2022/08/25 23:33:39 - mmengine - INFO - Epoch(train) [57][90/125] lr: 9.6632e-04 eta: 1 day, 4:41:32 time: 0.5120 data_time: 0.0147 memory: 9483 loss_text: 0.8866 loss_center: 2.8200 loss_reg_x: 1.3366 loss_reg_y: 1.3224 loss: 6.3657 2022/08/25 23:33:41 - mmengine - INFO - Epoch(train) [57][95/125] lr: 9.6632e-04 eta: 1 day, 4:41:32 time: 0.5044 data_time: 0.0142 memory: 9483 loss_text: 0.9413 loss_center: 2.8522 loss_reg_x: 1.4951 loss_reg_y: 1.4328 loss: 6.7214 2022/08/25 23:33:44 - mmengine - INFO - Epoch(train) [57][100/125] lr: 9.6632e-04 eta: 1 day, 4:41:17 time: 0.5358 data_time: 0.0154 memory: 9483 loss_text: 0.8269 loss_center: 2.8266 loss_reg_x: 1.3627 loss_reg_y: 1.2192 loss: 6.2354 2022/08/25 23:33:48 - mmengine - INFO - Epoch(train) [57][105/125] lr: 9.6632e-04 eta: 1 day, 4:41:17 time: 0.6505 data_time: 0.0316 memory: 9483 loss_text: 0.8569 loss_center: 2.8039 loss_reg_x: 1.2714 loss_reg_y: 1.0505 loss: 5.9827 2022/08/25 23:33:50 - mmengine - INFO - Epoch(train) [57][110/125] lr: 9.6632e-04 eta: 1 day, 4:41:21 time: 0.6135 data_time: 0.0302 memory: 9483 loss_text: 0.9728 loss_center: 2.8099 loss_reg_x: 1.2703 loss_reg_y: 1.1362 loss: 6.1892 2022/08/25 23:33:53 - mmengine - INFO - Epoch(train) [57][115/125] lr: 9.6632e-04 eta: 1 day, 4:41:21 time: 0.4954 data_time: 0.0129 memory: 9483 loss_text: 0.8895 loss_center: 2.8033 loss_reg_x: 1.2153 loss_reg_y: 1.1979 loss: 6.1059 2022/08/25 23:33:56 - mmengine - INFO - Epoch(train) [57][120/125] lr: 9.6632e-04 eta: 1 day, 4:41:19 time: 0.5866 data_time: 0.0132 memory: 9483 loss_text: 0.8843 loss_center: 2.8250 loss_reg_x: 1.2893 loss_reg_y: 1.2997 loss: 6.2982 2022/08/25 23:33:59 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:33:59 - mmengine - INFO - Epoch(train) [57][125/125] lr: 9.6632e-04 eta: 1 day, 4:41:19 time: 0.5859 data_time: 0.0166 memory: 9483 loss_text: 0.9358 loss_center: 2.8415 loss_reg_x: 1.3437 loss_reg_y: 1.4055 loss: 6.5264 2022/08/25 23:34:02 - mmengine - INFO - Epoch(train) [58][5/125] lr: 9.6571e-04 eta: 1 day, 4:41:19 time: 0.5929 data_time: 0.1205 memory: 9483 loss_text: 0.8357 loss_center: 2.8369 loss_reg_x: 1.2286 loss_reg_y: 1.3229 loss: 6.2241 2022/08/25 23:34:05 - mmengine - INFO - Epoch(train) [58][10/125] lr: 9.6571e-04 eta: 1 day, 4:40:20 time: 0.6590 data_time: 0.1156 memory: 9483 loss_text: 0.8040 loss_center: 2.8167 loss_reg_x: 1.2545 loss_reg_y: 1.2830 loss: 6.1583 2022/08/25 23:34:08 - mmengine - INFO - Epoch(train) [58][15/125] lr: 9.6571e-04 eta: 1 day, 4:40:20 time: 0.5590 data_time: 0.0121 memory: 9483 loss_text: 0.8117 loss_center: 2.8045 loss_reg_x: 1.3069 loss_reg_y: 1.2385 loss: 6.1617 2022/08/25 23:34:10 - mmengine - INFO - Epoch(train) [58][20/125] lr: 9.6571e-04 eta: 1 day, 4:39:55 time: 0.4979 data_time: 0.0163 memory: 9483 loss_text: 0.8435 loss_center: 2.8264 loss_reg_x: 1.3268 loss_reg_y: 1.2052 loss: 6.2019 2022/08/25 23:34:13 - mmengine - INFO - Epoch(train) [58][25/125] lr: 9.6571e-04 eta: 1 day, 4:39:55 time: 0.5101 data_time: 0.0159 memory: 9483 loss_text: 0.8754 loss_center: 2.8292 loss_reg_x: 1.2526 loss_reg_y: 1.2170 loss: 6.1741 2022/08/25 23:34:19 - mmengine - INFO - Epoch(train) [58][30/125] lr: 9.6571e-04 eta: 1 day, 4:40:55 time: 0.8313 data_time: 0.0147 memory: 9483 loss_text: 0.8627 loss_center: 2.8158 loss_reg_x: 1.3532 loss_reg_y: 1.2317 loss: 6.2634 2022/08/25 23:34:21 - mmengine - INFO - Epoch(train) [58][35/125] lr: 9.6571e-04 eta: 1 day, 4:40:55 time: 0.8210 data_time: 0.0172 memory: 9483 loss_text: 0.8154 loss_center: 2.8182 loss_reg_x: 1.2863 loss_reg_y: 1.0650 loss: 5.9850 2022/08/25 23:34:24 - mmengine - INFO - Epoch(train) [58][40/125] lr: 9.6571e-04 eta: 1 day, 4:40:32 time: 0.5043 data_time: 0.0165 memory: 9483 loss_text: 0.8965 loss_center: 2.8362 loss_reg_x: 1.4706 loss_reg_y: 1.4879 loss: 6.6912 2022/08/25 23:34:26 - mmengine - INFO - Epoch(train) [58][45/125] lr: 9.6571e-04 eta: 1 day, 4:40:32 time: 0.5119 data_time: 0.0273 memory: 9483 loss_text: 1.0065 loss_center: 2.8497 loss_reg_x: 1.7181 loss_reg_y: 1.6710 loss: 7.2453 2022/08/25 23:34:28 - mmengine - INFO - Epoch(train) [58][50/125] lr: 9.6571e-04 eta: 1 day, 4:40:04 time: 0.4848 data_time: 0.0266 memory: 9483 loss_text: 0.9680 loss_center: 2.8299 loss_reg_x: 1.4583 loss_reg_y: 1.2894 loss: 6.5456 2022/08/25 23:34:31 - mmengine - INFO - Epoch(train) [58][55/125] lr: 9.6571e-04 eta: 1 day, 4:40:04 time: 0.4860 data_time: 0.0135 memory: 9483 loss_text: 0.9230 loss_center: 2.8100 loss_reg_x: 1.5603 loss_reg_y: 1.4620 loss: 6.7554 2022/08/25 23:34:34 - mmengine - INFO - Epoch(train) [58][60/125] lr: 9.6571e-04 eta: 1 day, 4:39:45 time: 0.5178 data_time: 0.0155 memory: 9483 loss_text: 0.9229 loss_center: 2.8000 loss_reg_x: 1.7838 loss_reg_y: 1.6104 loss: 7.1172 2022/08/25 23:34:37 - mmengine - INFO - Epoch(train) [58][65/125] lr: 9.6571e-04 eta: 1 day, 4:39:45 time: 0.6218 data_time: 0.0224 memory: 9483 loss_text: 1.0187 loss_center: 2.8132 loss_reg_x: 1.7393 loss_reg_y: 1.6809 loss: 7.2521 2022/08/25 23:34:40 - mmengine - INFO - Epoch(train) [58][70/125] lr: 9.6571e-04 eta: 1 day, 4:39:48 time: 0.6065 data_time: 0.0203 memory: 9483 loss_text: 1.0069 loss_center: 2.8251 loss_reg_x: 1.4945 loss_reg_y: 1.5661 loss: 6.8926 2022/08/25 23:34:42 - mmengine - INFO - Epoch(train) [58][75/125] lr: 9.6571e-04 eta: 1 day, 4:39:48 time: 0.5285 data_time: 0.0125 memory: 9483 loss_text: 0.9572 loss_center: 2.8152 loss_reg_x: 1.5465 loss_reg_y: 1.3643 loss: 6.6832 2022/08/25 23:34:46 - mmengine - INFO - Epoch(train) [58][80/125] lr: 9.6571e-04 eta: 1 day, 4:39:48 time: 0.5951 data_time: 0.0144 memory: 9483 loss_text: 0.9549 loss_center: 2.8058 loss_reg_x: 1.5320 loss_reg_y: 1.2017 loss: 6.4944 2022/08/25 23:34:48 - mmengine - INFO - Epoch(train) [58][85/125] lr: 9.6571e-04 eta: 1 day, 4:39:48 time: 0.5792 data_time: 0.0183 memory: 9483 loss_text: 1.0432 loss_center: 2.8174 loss_reg_x: 1.6855 loss_reg_y: 1.4471 loss: 6.9931 2022/08/25 23:34:51 - mmengine - INFO - Epoch(train) [58][90/125] lr: 9.6571e-04 eta: 1 day, 4:39:27 time: 0.5127 data_time: 0.0172 memory: 9483 loss_text: 1.0225 loss_center: 2.8153 loss_reg_x: 1.6658 loss_reg_y: 1.4572 loss: 6.9607 2022/08/25 23:34:54 - mmengine - INFO - Epoch(train) [58][95/125] lr: 9.6571e-04 eta: 1 day, 4:39:27 time: 0.5386 data_time: 0.0137 memory: 9483 loss_text: 0.9474 loss_center: 2.8299 loss_reg_x: 1.4811 loss_reg_y: 1.1757 loss: 6.4341 2022/08/25 23:34:57 - mmengine - INFO - Epoch(train) [58][100/125] lr: 9.6571e-04 eta: 1 day, 4:39:41 time: 0.6518 data_time: 0.0180 memory: 9483 loss_text: 0.9619 loss_center: 2.7804 loss_reg_x: 1.5138 loss_reg_y: 1.2505 loss: 6.5065 2022/08/25 23:35:00 - mmengine - INFO - Epoch(train) [58][105/125] lr: 9.6571e-04 eta: 1 day, 4:39:41 time: 0.5979 data_time: 0.0181 memory: 9483 loss_text: 0.8946 loss_center: 2.7019 loss_reg_x: 1.5035 loss_reg_y: 1.2050 loss: 6.3050 2022/08/25 23:35:02 - mmengine - INFO - Epoch(train) [58][110/125] lr: 9.6571e-04 eta: 1 day, 4:39:15 time: 0.4903 data_time: 0.0139 memory: 9483 loss_text: 0.9022 loss_center: 2.7737 loss_reg_x: 1.4016 loss_reg_y: 1.2019 loss: 6.2793 2022/08/25 23:35:06 - mmengine - INFO - Epoch(train) [58][115/125] lr: 9.6571e-04 eta: 1 day, 4:39:15 time: 0.6456 data_time: 0.0144 memory: 9483 loss_text: 0.9288 loss_center: 2.8472 loss_reg_x: 1.1933 loss_reg_y: 1.3290 loss: 6.2983 2022/08/25 23:35:09 - mmengine - INFO - Epoch(train) [58][120/125] lr: 9.6571e-04 eta: 1 day, 4:39:27 time: 0.6440 data_time: 0.0190 memory: 9483 loss_text: 0.8929 loss_center: 2.8321 loss_reg_x: 1.2035 loss_reg_y: 1.3509 loss: 6.2795 2022/08/25 23:35:11 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:35:11 - mmengine - INFO - Epoch(train) [58][125/125] lr: 9.6571e-04 eta: 1 day, 4:39:27 time: 0.4786 data_time: 0.0181 memory: 9483 loss_text: 0.8434 loss_center: 2.8132 loss_reg_x: 1.1090 loss_reg_y: 1.2252 loss: 5.9908 2022/08/25 23:35:14 - mmengine - INFO - Epoch(train) [59][5/125] lr: 9.6511e-04 eta: 1 day, 4:39:27 time: 0.5270 data_time: 0.0639 memory: 9483 loss_text: 0.8040 loss_center: 2.8023 loss_reg_x: 1.0361 loss_reg_y: 1.2148 loss: 5.8570 2022/08/25 23:35:17 - mmengine - INFO - Epoch(train) [59][10/125] lr: 9.6511e-04 eta: 1 day, 4:38:25 time: 0.6412 data_time: 0.0651 memory: 9483 loss_text: 0.8645 loss_center: 2.8186 loss_reg_x: 1.1848 loss_reg_y: 1.3006 loss: 6.1685 2022/08/25 23:35:20 - mmengine - INFO - Epoch(train) [59][15/125] lr: 9.6511e-04 eta: 1 day, 4:38:25 time: 0.5878 data_time: 0.0165 memory: 9483 loss_text: 0.8494 loss_center: 2.8237 loss_reg_x: 1.1970 loss_reg_y: 1.3490 loss: 6.2191 2022/08/25 23:35:22 - mmengine - INFO - Epoch(train) [59][20/125] lr: 9.6511e-04 eta: 1 day, 4:38:05 time: 0.5145 data_time: 0.0164 memory: 9483 loss_text: 0.8250 loss_center: 2.7957 loss_reg_x: 1.2116 loss_reg_y: 1.2172 loss: 6.0495 2022/08/25 23:35:26 - mmengine - INFO - Epoch(train) [59][25/125] lr: 9.6511e-04 eta: 1 day, 4:38:05 time: 0.6563 data_time: 0.0394 memory: 9483 loss_text: 0.9249 loss_center: 2.8161 loss_reg_x: 1.6094 loss_reg_y: 1.1804 loss: 6.5307 2022/08/25 23:35:29 - mmengine - INFO - Epoch(train) [59][30/125] lr: 9.6511e-04 eta: 1 day, 4:38:17 time: 0.6430 data_time: 0.0408 memory: 9483 loss_text: 0.9059 loss_center: 2.8205 loss_reg_x: 1.5633 loss_reg_y: 1.2178 loss: 6.5074 2022/08/25 23:35:31 - mmengine - INFO - Epoch(train) [59][35/125] lr: 9.6511e-04 eta: 1 day, 4:38:17 time: 0.5068 data_time: 0.0170 memory: 9483 loss_text: 0.8589 loss_center: 2.8059 loss_reg_x: 1.5137 loss_reg_y: 1.4185 loss: 6.5970 2022/08/25 23:35:34 - mmengine - INFO - Epoch(train) [59][40/125] lr: 9.6511e-04 eta: 1 day, 4:38:05 time: 0.5487 data_time: 0.0144 memory: 9483 loss_text: 0.8879 loss_center: 2.8051 loss_reg_x: 1.6616 loss_reg_y: 1.4899 loss: 6.8445 2022/08/25 23:35:37 - mmengine - INFO - Epoch(train) [59][45/125] lr: 9.6511e-04 eta: 1 day, 4:38:05 time: 0.5614 data_time: 0.0203 memory: 9483 loss_text: 0.9617 loss_center: 2.8088 loss_reg_x: 1.4411 loss_reg_y: 1.3663 loss: 6.5778 2022/08/25 23:35:39 - mmengine - INFO - Epoch(train) [59][50/125] lr: 9.6511e-04 eta: 1 day, 4:37:46 time: 0.5179 data_time: 0.0206 memory: 9483 loss_text: 0.9754 loss_center: 2.8129 loss_reg_x: 1.4623 loss_reg_y: 1.3301 loss: 6.5808 2022/08/25 23:35:42 - mmengine - INFO - Epoch(train) [59][55/125] lr: 9.6511e-04 eta: 1 day, 4:37:46 time: 0.5110 data_time: 0.0161 memory: 9483 loss_text: 0.9839 loss_center: 2.8247 loss_reg_x: 1.7600 loss_reg_y: 1.4759 loss: 7.0446 2022/08/25 23:35:45 - mmengine - INFO - Epoch(train) [59][60/125] lr: 9.6511e-04 eta: 1 day, 4:37:47 time: 0.5979 data_time: 0.0348 memory: 9483 loss_text: 0.9780 loss_center: 2.8290 loss_reg_x: 1.6899 loss_reg_y: 1.5166 loss: 7.0134 2022/08/25 23:35:48 - mmengine - INFO - Epoch(train) [59][65/125] lr: 9.6511e-04 eta: 1 day, 4:37:47 time: 0.5849 data_time: 0.0317 memory: 9483 loss_text: 0.9036 loss_center: 2.8546 loss_reg_x: 1.4918 loss_reg_y: 1.5858 loss: 6.8358 2022/08/25 23:35:50 - mmengine - INFO - Epoch(train) [59][70/125] lr: 9.6511e-04 eta: 1 day, 4:37:22 time: 0.4959 data_time: 0.0138 memory: 9483 loss_text: 0.9081 loss_center: 2.8491 loss_reg_x: 1.5044 loss_reg_y: 1.6677 loss: 6.9292 2022/08/25 23:35:53 - mmengine - INFO - Epoch(train) [59][75/125] lr: 9.6511e-04 eta: 1 day, 4:37:22 time: 0.4957 data_time: 0.0157 memory: 9483 loss_text: 0.9261 loss_center: 2.8374 loss_reg_x: 1.4181 loss_reg_y: 1.4163 loss: 6.5979 2022/08/25 23:35:56 - mmengine - INFO - Epoch(train) [59][80/125] lr: 9.6511e-04 eta: 1 day, 4:37:10 time: 0.5446 data_time: 0.0189 memory: 9483 loss_text: 0.8935 loss_center: 2.8242 loss_reg_x: 1.3446 loss_reg_y: 1.1845 loss: 6.2468 2022/08/25 23:35:58 - mmengine - INFO - Epoch(train) [59][85/125] lr: 9.6511e-04 eta: 1 day, 4:37:10 time: 0.5449 data_time: 0.0174 memory: 9483 loss_text: 0.8926 loss_center: 2.8028 loss_reg_x: 1.2418 loss_reg_y: 1.0800 loss: 6.0173 2022/08/25 23:36:01 - mmengine - INFO - Epoch(train) [59][90/125] lr: 9.6511e-04 eta: 1 day, 4:36:42 time: 0.4815 data_time: 0.0130 memory: 9483 loss_text: 0.9225 loss_center: 2.8330 loss_reg_x: 1.2925 loss_reg_y: 1.2556 loss: 6.3036 2022/08/25 23:36:03 - mmengine - INFO - Epoch(train) [59][95/125] lr: 9.6511e-04 eta: 1 day, 4:36:42 time: 0.4921 data_time: 0.0170 memory: 9483 loss_text: 0.8489 loss_center: 2.8271 loss_reg_x: 1.2756 loss_reg_y: 1.2619 loss: 6.2134 2022/08/25 23:36:07 - mmengine - INFO - Epoch(train) [59][100/125] lr: 9.6511e-04 eta: 1 day, 4:37:01 time: 0.6732 data_time: 0.0543 memory: 9483 loss_text: 0.8036 loss_center: 2.8150 loss_reg_x: 1.1279 loss_reg_y: 1.0747 loss: 5.8211 2022/08/25 23:36:10 - mmengine - INFO - Epoch(train) [59][105/125] lr: 9.6511e-04 eta: 1 day, 4:37:01 time: 0.6675 data_time: 0.0519 memory: 9483 loss_text: 0.8924 loss_center: 2.8348 loss_reg_x: 1.2586 loss_reg_y: 1.2142 loss: 6.2000 2022/08/25 23:36:13 - mmengine - INFO - Epoch(train) [59][110/125] lr: 9.6511e-04 eta: 1 day, 4:36:43 time: 0.5229 data_time: 0.0147 memory: 9483 loss_text: 0.9794 loss_center: 2.8474 loss_reg_x: 1.6355 loss_reg_y: 1.6589 loss: 7.1211 2022/08/25 23:36:17 - mmengine - INFO - Epoch(train) [59][115/125] lr: 9.6511e-04 eta: 1 day, 4:36:43 time: 0.6636 data_time: 0.0202 memory: 9483 loss_text: 0.9897 loss_center: 2.8518 loss_reg_x: 1.6151 loss_reg_y: 1.7482 loss: 7.2048 2022/08/25 23:36:19 - mmengine - INFO - Epoch(train) [59][120/125] lr: 9.6511e-04 eta: 1 day, 4:36:57 time: 0.6506 data_time: 0.0232 memory: 9483 loss_text: 0.9843 loss_center: 2.8484 loss_reg_x: 1.4645 loss_reg_y: 1.5100 loss: 6.8072 2022/08/25 23:36:22 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:36:22 - mmengine - INFO - Epoch(train) [59][125/125] lr: 9.6511e-04 eta: 1 day, 4:36:57 time: 0.5121 data_time: 0.0149 memory: 9483 loss_text: 1.0208 loss_center: 2.8493 loss_reg_x: 1.7252 loss_reg_y: 1.6176 loss: 7.2129 2022/08/25 23:36:25 - mmengine - INFO - Epoch(train) [60][5/125] lr: 9.6451e-04 eta: 1 day, 4:36:57 time: 0.5956 data_time: 0.0734 memory: 9483 loss_text: 0.9528 loss_center: 2.8140 loss_reg_x: 1.4247 loss_reg_y: 1.5328 loss: 6.7243 2022/08/25 23:36:27 - mmengine - INFO - Epoch(train) [60][10/125] lr: 9.6451e-04 eta: 1 day, 4:35:38 time: 0.5679 data_time: 0.0800 memory: 9483 loss_text: 0.9579 loss_center: 2.7956 loss_reg_x: 1.2121 loss_reg_y: 1.4397 loss: 6.4053 2022/08/25 23:36:30 - mmengine - INFO - Epoch(train) [60][15/125] lr: 9.6451e-04 eta: 1 day, 4:35:38 time: 0.5030 data_time: 0.0226 memory: 9483 loss_text: 0.9841 loss_center: 2.8324 loss_reg_x: 1.3989 loss_reg_y: 1.4450 loss: 6.6604 2022/08/25 23:36:33 - mmengine - INFO - Epoch(train) [60][20/125] lr: 9.6451e-04 eta: 1 day, 4:35:20 time: 0.5223 data_time: 0.0166 memory: 9483 loss_text: 0.8732 loss_center: 2.8320 loss_reg_x: 1.4475 loss_reg_y: 1.3182 loss: 6.4709 2022/08/25 23:36:37 - mmengine - INFO - Epoch(train) [60][25/125] lr: 9.6451e-04 eta: 1 day, 4:35:20 time: 0.6565 data_time: 0.0124 memory: 9483 loss_text: 0.8506 loss_center: 2.8276 loss_reg_x: 1.4442 loss_reg_y: 1.3329 loss: 6.4553 2022/08/25 23:36:39 - mmengine - INFO - Epoch(train) [60][30/125] lr: 9.6451e-04 eta: 1 day, 4:35:37 time: 0.6666 data_time: 0.0146 memory: 9483 loss_text: 0.8389 loss_center: 2.8447 loss_reg_x: 1.3345 loss_reg_y: 1.3765 loss: 6.3946 2022/08/25 23:36:42 - mmengine - INFO - Epoch(train) [60][35/125] lr: 9.6451e-04 eta: 1 day, 4:35:37 time: 0.5036 data_time: 0.0144 memory: 9483 loss_text: 0.8597 loss_center: 2.8422 loss_reg_x: 1.4574 loss_reg_y: 1.6449 loss: 6.8042 2022/08/25 23:36:44 - mmengine - INFO - Epoch(train) [60][40/125] lr: 9.6451e-04 eta: 1 day, 4:35:15 time: 0.5039 data_time: 0.0132 memory: 9483 loss_text: 0.8941 loss_center: 2.8317 loss_reg_x: 1.5224 loss_reg_y: 1.7347 loss: 6.9829 2022/08/25 23:36:47 - mmengine - INFO - Epoch(train) [60][45/125] lr: 9.6451e-04 eta: 1 day, 4:35:15 time: 0.5562 data_time: 0.0323 memory: 9483 loss_text: 0.9145 loss_center: 2.8262 loss_reg_x: 1.4351 loss_reg_y: 1.4280 loss: 6.6038 2022/08/25 23:36:50 - mmengine - INFO - Epoch(train) [60][50/125] lr: 9.6451e-04 eta: 1 day, 4:35:03 time: 0.5441 data_time: 0.0334 memory: 9483 loss_text: 0.9748 loss_center: 2.8091 loss_reg_x: 1.3728 loss_reg_y: 1.2403 loss: 6.3970 2022/08/25 23:36:52 - mmengine - INFO - Epoch(train) [60][55/125] lr: 9.6451e-04 eta: 1 day, 4:35:03 time: 0.4844 data_time: 0.0163 memory: 9483 loss_text: 0.9722 loss_center: 2.8002 loss_reg_x: 1.2526 loss_reg_y: 1.0730 loss: 6.0979 2022/08/25 23:36:55 - mmengine - INFO - Epoch(train) [60][60/125] lr: 9.6451e-04 eta: 1 day, 4:34:40 time: 0.5009 data_time: 0.0171 memory: 9483 loss_text: 0.9768 loss_center: 2.7836 loss_reg_x: 1.1509 loss_reg_y: 0.8732 loss: 5.7845 2022/08/25 23:36:57 - mmengine - INFO - Epoch(train) [60][65/125] lr: 9.6451e-04 eta: 1 day, 4:34:40 time: 0.5155 data_time: 0.0162 memory: 9483 loss_text: 1.0078 loss_center: 2.8164 loss_reg_x: 1.3556 loss_reg_y: 1.0650 loss: 6.2448 2022/08/25 23:37:00 - mmengine - INFO - Epoch(train) [60][70/125] lr: 9.6451e-04 eta: 1 day, 4:34:19 time: 0.5094 data_time: 0.0145 memory: 9483 loss_text: 0.9532 loss_center: 2.8451 loss_reg_x: 1.5088 loss_reg_y: 1.3964 loss: 6.7035 2022/08/25 23:37:02 - mmengine - INFO - Epoch(train) [60][75/125] lr: 9.6451e-04 eta: 1 day, 4:34:19 time: 0.4954 data_time: 0.0173 memory: 9483 loss_text: 0.9235 loss_center: 2.8173 loss_reg_x: 1.4664 loss_reg_y: 1.4486 loss: 6.6557 2022/08/25 23:37:09 - mmengine - INFO - Epoch(train) [60][80/125] lr: 9.6451e-04 eta: 1 day, 4:35:28 time: 0.8775 data_time: 0.0163 memory: 9483 loss_text: 0.8987 loss_center: 2.8360 loss_reg_x: 1.3616 loss_reg_y: 1.3469 loss: 6.4433 2022/08/25 23:37:11 - mmengine - INFO - Epoch(train) [60][85/125] lr: 9.6451e-04 eta: 1 day, 4:35:28 time: 0.8996 data_time: 0.0161 memory: 9483 loss_text: 0.8416 loss_center: 2.8322 loss_reg_x: 1.1978 loss_reg_y: 1.2183 loss: 6.0900 2022/08/25 23:37:14 - mmengine - INFO - Epoch(train) [60][90/125] lr: 9.6451e-04 eta: 1 day, 4:35:04 time: 0.4964 data_time: 0.0177 memory: 9483 loss_text: 0.8920 loss_center: 2.8225 loss_reg_x: 1.4869 loss_reg_y: 1.3829 loss: 6.5842 2022/08/25 23:37:16 - mmengine - INFO - Epoch(train) [60][95/125] lr: 9.6451e-04 eta: 1 day, 4:35:04 time: 0.5040 data_time: 0.0178 memory: 9483 loss_text: 0.8388 loss_center: 2.8251 loss_reg_x: 1.4375 loss_reg_y: 1.3181 loss: 6.4195 2022/08/25 23:37:19 - mmengine - INFO - Epoch(train) [60][100/125] lr: 9.6451e-04 eta: 1 day, 4:34:47 time: 0.5255 data_time: 0.0157 memory: 9483 loss_text: 0.8107 loss_center: 2.8221 loss_reg_x: 1.4124 loss_reg_y: 1.2929 loss: 6.3380 2022/08/25 23:37:21 - mmengine - INFO - Epoch(train) [60][105/125] lr: 9.6451e-04 eta: 1 day, 4:34:47 time: 0.5031 data_time: 0.0135 memory: 9483 loss_text: 0.9351 loss_center: 2.8427 loss_reg_x: 1.5806 loss_reg_y: 1.3368 loss: 6.6953 2022/08/25 23:37:24 - mmengine - INFO - Epoch(train) [60][110/125] lr: 9.6451e-04 eta: 1 day, 4:34:26 time: 0.5093 data_time: 0.0172 memory: 9483 loss_text: 0.9851 loss_center: 2.8354 loss_reg_x: 1.4185 loss_reg_y: 1.3210 loss: 6.5599 2022/08/25 23:37:29 - mmengine - INFO - Epoch(train) [60][115/125] lr: 9.6451e-04 eta: 1 day, 4:34:26 time: 0.7916 data_time: 0.0161 memory: 9483 loss_text: 0.9448 loss_center: 2.7928 loss_reg_x: 1.3964 loss_reg_y: 1.3269 loss: 6.4609 2022/08/25 23:37:32 - mmengine - INFO - Epoch(train) [60][120/125] lr: 9.6451e-04 eta: 1 day, 4:35:11 time: 0.7827 data_time: 0.0138 memory: 9483 loss_text: 0.9138 loss_center: 2.8006 loss_reg_x: 1.3060 loss_reg_y: 1.2774 loss: 6.2978 2022/08/25 23:37:34 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:37:34 - mmengine - INFO - Epoch(train) [60][125/125] lr: 9.6451e-04 eta: 1 day, 4:35:11 time: 0.4994 data_time: 0.0179 memory: 9483 loss_text: 0.9117 loss_center: 2.8337 loss_reg_x: 1.1283 loss_reg_y: 1.2416 loss: 6.1153 2022/08/25 23:37:34 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/25 23:37:40 - mmengine - INFO - Epoch(val) [60][5/500] eta: 1 day, 4:35:11 time: 0.3717 data_time: 0.0256 memory: 602 2022/08/25 23:37:41 - mmengine - INFO - Epoch(val) [60][10/500] eta: 0:01:47 time: 0.2204 data_time: 0.0039 memory: 602 2022/08/25 23:37:42 - mmengine - INFO - Epoch(val) [60][15/500] eta: 0:01:47 time: 0.2052 data_time: 0.0019 memory: 587 2022/08/25 23:37:43 - mmengine - INFO - Epoch(val) [60][20/500] eta: 0:01:26 time: 0.1798 data_time: 0.0019 memory: 602 2022/08/25 23:37:44 - mmengine - INFO - Epoch(val) [60][25/500] eta: 0:01:26 time: 0.1341 data_time: 0.0018 memory: 602 2022/08/25 23:37:44 - mmengine - INFO - Epoch(val) [60][30/500] eta: 0:00:58 time: 0.1242 data_time: 0.0018 memory: 602 2022/08/25 23:37:45 - mmengine - INFO - Epoch(val) [60][35/500] eta: 0:00:58 time: 0.1295 data_time: 0.0092 memory: 602 2022/08/25 23:37:45 - mmengine - INFO - Epoch(val) [60][40/500] eta: 0:00:57 time: 0.1246 data_time: 0.0091 memory: 602 2022/08/25 23:37:46 - mmengine - INFO - Epoch(val) [60][45/500] eta: 0:00:57 time: 0.1118 data_time: 0.0016 memory: 587 2022/08/25 23:37:47 - mmengine - INFO - Epoch(val) [60][50/500] eta: 0:01:01 time: 0.1373 data_time: 0.0017 memory: 587 2022/08/25 23:37:48 - mmengine - INFO - Epoch(val) [60][55/500] eta: 0:01:01 time: 0.1510 data_time: 0.0018 memory: 602 2022/08/25 23:37:48 - mmengine - INFO - Epoch(val) [60][60/500] eta: 0:01:03 time: 0.1442 data_time: 0.0018 memory: 602 2022/08/25 23:37:49 - mmengine - INFO - Epoch(val) [60][65/500] eta: 0:01:03 time: 0.1383 data_time: 0.0019 memory: 602 2022/08/25 23:37:50 - mmengine - INFO - Epoch(val) [60][70/500] eta: 0:00:54 time: 0.1261 data_time: 0.0018 memory: 602 2022/08/25 23:37:50 - mmengine - INFO - Epoch(val) [60][75/500] eta: 0:00:54 time: 0.1533 data_time: 0.0017 memory: 602 2022/08/25 23:37:52 - mmengine - INFO - Epoch(val) [60][80/500] eta: 0:01:24 time: 0.2012 data_time: 0.0336 memory: 602 2022/08/25 23:37:52 - mmengine - INFO - Epoch(val) [60][85/500] eta: 0:01:24 time: 0.1711 data_time: 0.0344 memory: 602 2022/08/25 23:37:53 - mmengine - INFO - Epoch(val) [60][90/500] eta: 0:00:53 time: 0.1306 data_time: 0.0025 memory: 587 2022/08/25 23:37:54 - mmengine - INFO - Epoch(val) [60][95/500] eta: 0:00:53 time: 0.1329 data_time: 0.0016 memory: 602 2022/08/25 23:37:54 - mmengine - INFO - Epoch(val) [60][100/500] eta: 0:00:45 time: 0.1137 data_time: 0.0015 memory: 602 2022/08/25 23:37:55 - mmengine - INFO - Epoch(val) [60][105/500] eta: 0:00:45 time: 0.1815 data_time: 0.0098 memory: 602 2022/08/25 23:37:56 - mmengine - INFO - Epoch(val) [60][110/500] eta: 0:01:08 time: 0.1764 data_time: 0.0115 memory: 602 2022/08/25 23:37:56 - mmengine - INFO - Epoch(val) [60][115/500] eta: 0:01:08 time: 0.1055 data_time: 0.0032 memory: 602 2022/08/25 23:37:57 - mmengine - INFO - Epoch(val) [60][120/500] eta: 0:00:52 time: 0.1384 data_time: 0.0017 memory: 602 2022/08/25 23:37:58 - mmengine - INFO - Epoch(val) [60][125/500] eta: 0:00:52 time: 0.1772 data_time: 0.0017 memory: 602 2022/08/25 23:37:59 - mmengine - INFO - Epoch(val) [60][130/500] eta: 0:00:55 time: 0.1506 data_time: 0.0018 memory: 602 2022/08/25 23:37:59 - mmengine - INFO - Epoch(val) [60][135/500] eta: 0:00:55 time: 0.1153 data_time: 0.0017 memory: 602 2022/08/25 23:38:00 - mmengine - INFO - Epoch(val) [60][140/500] eta: 0:00:50 time: 0.1411 data_time: 0.0016 memory: 587 2022/08/25 23:38:01 - mmengine - INFO - Epoch(val) [60][145/500] eta: 0:00:50 time: 0.1281 data_time: 0.0016 memory: 602 2022/08/25 23:38:01 - mmengine - INFO - Epoch(val) [60][150/500] eta: 0:00:39 time: 0.1127 data_time: 0.0015 memory: 587 2022/08/25 23:38:02 - mmengine - INFO - Epoch(val) [60][155/500] eta: 0:00:39 time: 0.1226 data_time: 0.0016 memory: 602 2022/08/25 23:38:02 - mmengine - INFO - Epoch(val) [60][160/500] eta: 0:00:35 time: 0.1032 data_time: 0.0017 memory: 602 2022/08/25 23:38:03 - mmengine - INFO - Epoch(val) [60][165/500] eta: 0:00:35 time: 0.1188 data_time: 0.0017 memory: 602 2022/08/25 23:38:04 - mmengine - INFO - Epoch(val) [60][170/500] eta: 0:00:46 time: 0.1403 data_time: 0.0017 memory: 587 2022/08/25 23:38:04 - mmengine - INFO - Epoch(val) [60][175/500] eta: 0:00:46 time: 0.1045 data_time: 0.0084 memory: 602 2022/08/25 23:38:06 - mmengine - INFO - Epoch(val) [60][180/500] eta: 0:01:00 time: 0.1893 data_time: 0.0515 memory: 602 2022/08/25 23:38:06 - mmengine - INFO - Epoch(val) [60][185/500] eta: 0:01:00 time: 0.2252 data_time: 0.0460 memory: 602 2022/08/25 23:38:07 - mmengine - INFO - Epoch(val) [60][190/500] eta: 0:00:43 time: 0.1418 data_time: 0.0029 memory: 602 2022/08/25 23:38:07 - mmengine - INFO - Epoch(val) [60][195/500] eta: 0:00:43 time: 0.1144 data_time: 0.0016 memory: 602 2022/08/25 23:38:08 - mmengine - INFO - Epoch(val) [60][200/500] eta: 0:00:35 time: 0.1171 data_time: 0.0016 memory: 602 2022/08/25 23:38:09 - mmengine - INFO - Epoch(val) [60][205/500] eta: 0:00:35 time: 0.1462 data_time: 0.0047 memory: 602 2022/08/25 23:38:10 - mmengine - INFO - Epoch(val) [60][210/500] eta: 0:00:39 time: 0.1359 data_time: 0.0048 memory: 602 2022/08/25 23:38:10 - mmengine - INFO - Epoch(val) [60][215/500] eta: 0:00:39 time: 0.1054 data_time: 0.0017 memory: 602 2022/08/25 23:38:11 - mmengine - INFO - Epoch(val) [60][220/500] eta: 0:00:38 time: 0.1379 data_time: 0.0328 memory: 587 2022/08/25 23:38:11 - mmengine - INFO - Epoch(val) [60][225/500] eta: 0:00:38 time: 0.1433 data_time: 0.0327 memory: 602 2022/08/25 23:38:13 - mmengine - INFO - Epoch(val) [60][230/500] eta: 0:00:46 time: 0.1715 data_time: 0.0017 memory: 602 2022/08/25 23:38:13 - mmengine - INFO - Epoch(val) [60][235/500] eta: 0:00:46 time: 0.1890 data_time: 0.0016 memory: 602 2022/08/25 23:38:14 - mmengine - INFO - Epoch(val) [60][240/500] eta: 0:00:32 time: 0.1261 data_time: 0.0016 memory: 602 2022/08/25 23:38:15 - mmengine - INFO - Epoch(val) [60][245/500] eta: 0:00:32 time: 0.1302 data_time: 0.0015 memory: 597 2022/08/25 23:38:15 - mmengine - INFO - Epoch(val) [60][250/500] eta: 0:00:31 time: 0.1255 data_time: 0.0042 memory: 602 2022/08/25 23:38:17 - mmengine - INFO - Epoch(val) [60][255/500] eta: 0:00:31 time: 0.2161 data_time: 0.0042 memory: 602 2022/08/25 23:38:17 - mmengine - INFO - Epoch(val) [60][260/500] eta: 0:00:52 time: 0.2184 data_time: 0.0016 memory: 602 2022/08/25 23:38:18 - mmengine - INFO - Epoch(val) [60][265/500] eta: 0:00:52 time: 0.1097 data_time: 0.0016 memory: 587 2022/08/25 23:38:18 - mmengine - INFO - Epoch(val) [60][270/500] eta: 0:00:25 time: 0.1120 data_time: 0.0017 memory: 602 2022/08/25 23:38:19 - mmengine - INFO - Epoch(val) [60][275/500] eta: 0:00:25 time: 0.1262 data_time: 0.0017 memory: 602 2022/08/25 23:38:19 - mmengine - INFO - Epoch(val) [60][280/500] eta: 0:00:23 time: 0.1054 data_time: 0.0018 memory: 592 2022/08/25 23:38:20 - mmengine - INFO - Epoch(val) [60][285/500] eta: 0:00:23 time: 0.0871 data_time: 0.0018 memory: 597 2022/08/25 23:38:21 - mmengine - INFO - Epoch(val) [60][290/500] eta: 0:00:24 time: 0.1150 data_time: 0.0018 memory: 587 2022/08/25 23:38:21 - mmengine - INFO - Epoch(val) [60][295/500] eta: 0:00:24 time: 0.1274 data_time: 0.0017 memory: 602 2022/08/25 23:38:22 - mmengine - INFO - Epoch(val) [60][300/500] eta: 0:00:22 time: 0.1122 data_time: 0.0016 memory: 602 2022/08/25 23:38:22 - mmengine - INFO - Epoch(val) [60][305/500] eta: 0:00:22 time: 0.1103 data_time: 0.0280 memory: 602 2022/08/25 23:38:23 - mmengine - INFO - Epoch(val) [60][310/500] eta: 0:00:20 time: 0.1103 data_time: 0.0281 memory: 602 2022/08/25 23:38:24 - mmengine - INFO - Epoch(val) [60][315/500] eta: 0:00:20 time: 0.1156 data_time: 0.0018 memory: 602 2022/08/25 23:38:24 - mmengine - INFO - Epoch(val) [60][320/500] eta: 0:00:23 time: 0.1305 data_time: 0.0018 memory: 602 2022/08/25 23:38:28 - mmengine - INFO - Epoch(val) [60][325/500] eta: 0:00:23 time: 0.4238 data_time: 0.0104 memory: 602 2022/08/25 23:38:28 - mmengine - INFO - Epoch(val) [60][330/500] eta: 0:01:11 time: 0.4218 data_time: 0.0113 memory: 602 2022/08/25 23:38:29 - mmengine - INFO - Epoch(val) [60][335/500] eta: 0:01:11 time: 0.1484 data_time: 0.0027 memory: 602 2022/08/25 23:38:30 - mmengine - INFO - Epoch(val) [60][340/500] eta: 0:00:28 time: 0.1751 data_time: 0.0017 memory: 602 2022/08/25 23:38:31 - mmengine - INFO - Epoch(val) [60][345/500] eta: 0:00:28 time: 0.1419 data_time: 0.0017 memory: 602 2022/08/25 23:38:31 - mmengine - INFO - Epoch(val) [60][350/500] eta: 0:00:19 time: 0.1278 data_time: 0.0016 memory: 602 2022/08/25 23:38:32 - mmengine - INFO - Epoch(val) [60][355/500] eta: 0:00:19 time: 0.1738 data_time: 0.0015 memory: 594 2022/08/25 23:38:33 - mmengine - INFO - Epoch(val) [60][360/500] eta: 0:00:21 time: 0.1547 data_time: 0.0015 memory: 602 2022/08/25 23:38:34 - mmengine - INFO - Epoch(val) [60][365/500] eta: 0:00:21 time: 0.1257 data_time: 0.0015 memory: 602 2022/08/25 23:38:34 - mmengine - INFO - Epoch(val) [60][370/500] eta: 0:00:15 time: 0.1194 data_time: 0.0014 memory: 602 2022/08/25 23:38:35 - mmengine - INFO - Epoch(val) [60][375/500] eta: 0:00:15 time: 0.0883 data_time: 0.0015 memory: 587 2022/08/25 23:38:35 - mmengine - INFO - Epoch(val) [60][380/500] eta: 0:00:12 time: 0.1011 data_time: 0.0024 memory: 602 2022/08/25 23:38:36 - mmengine - INFO - Epoch(val) [60][385/500] eta: 0:00:12 time: 0.1045 data_time: 0.0024 memory: 602 2022/08/25 23:38:36 - mmengine - INFO - Epoch(val) [60][390/500] eta: 0:00:12 time: 0.1147 data_time: 0.0016 memory: 602 2022/08/25 23:38:37 - mmengine - INFO - Epoch(val) [60][395/500] eta: 0:00:12 time: 0.1738 data_time: 0.0016 memory: 602 2022/08/25 23:38:38 - mmengine - INFO - Epoch(val) [60][400/500] eta: 0:00:18 time: 0.1868 data_time: 0.0017 memory: 602 2022/08/25 23:38:39 - mmengine - INFO - Epoch(val) [60][405/500] eta: 0:00:18 time: 0.1282 data_time: 0.0017 memory: 602 2022/08/25 23:38:39 - mmengine - INFO - Epoch(val) [60][410/500] eta: 0:00:09 time: 0.1071 data_time: 0.0016 memory: 602 2022/08/25 23:38:40 - mmengine - INFO - Epoch(val) [60][415/500] eta: 0:00:09 time: 0.1628 data_time: 0.0016 memory: 602 2022/08/25 23:38:41 - mmengine - INFO - Epoch(val) [60][420/500] eta: 0:00:14 time: 0.1766 data_time: 0.0016 memory: 602 2022/08/25 23:38:42 - mmengine - INFO - Epoch(val) [60][425/500] eta: 0:00:14 time: 0.1520 data_time: 0.0017 memory: 602 2022/08/25 23:38:42 - mmengine - INFO - Epoch(val) [60][430/500] eta: 0:00:09 time: 0.1311 data_time: 0.0017 memory: 602 2022/08/25 23:38:43 - mmengine - INFO - Epoch(val) [60][435/500] eta: 0:00:09 time: 0.1300 data_time: 0.0017 memory: 597 2022/08/25 23:38:44 - mmengine - INFO - Epoch(val) [60][440/500] eta: 0:00:09 time: 0.1543 data_time: 0.0016 memory: 602 2022/08/25 23:38:46 - mmengine - INFO - Epoch(val) [60][445/500] eta: 0:00:09 time: 0.2821 data_time: 0.0021 memory: 602 2022/08/25 23:38:47 - mmengine - INFO - Epoch(val) [60][450/500] eta: 0:00:15 time: 0.3046 data_time: 0.0115 memory: 602 2022/08/25 23:38:48 - mmengine - INFO - Epoch(val) [60][455/500] eta: 0:00:15 time: 0.1776 data_time: 0.0163 memory: 602 2022/08/25 23:38:48 - mmengine - INFO - Epoch(val) [60][460/500] eta: 0:00:05 time: 0.1370 data_time: 0.0068 memory: 597 2022/08/25 23:38:49 - mmengine - INFO - Epoch(val) [60][465/500] eta: 0:00:05 time: 0.1222 data_time: 0.0015 memory: 602 2022/08/25 23:38:49 - mmengine - INFO - Epoch(val) [60][470/500] eta: 0:00:03 time: 0.1167 data_time: 0.0016 memory: 602 2022/08/25 23:38:50 - mmengine - INFO - Epoch(val) [60][475/500] eta: 0:00:03 time: 0.1145 data_time: 0.0017 memory: 602 2022/08/25 23:38:50 - mmengine - INFO - Epoch(val) [60][480/500] eta: 0:00:02 time: 0.1016 data_time: 0.0016 memory: 587 2022/08/25 23:38:51 - mmengine - INFO - Epoch(val) [60][485/500] eta: 0:00:02 time: 0.0943 data_time: 0.0015 memory: 602 2022/08/25 23:38:51 - mmengine - INFO - Epoch(val) [60][490/500] eta: 0:00:00 time: 0.0971 data_time: 0.0016 memory: 602 2022/08/25 23:38:52 - mmengine - INFO - Epoch(val) [60][495/500] eta: 0:00:00 time: 0.1073 data_time: 0.0016 memory: 587 2022/08/25 23:38:53 - mmengine - INFO - Epoch(val) [60][500/500] eta: 0:00:00 time: 0.1142 data_time: 0.0110 memory: 587 2022/08/25 23:38:53 - mmengine - INFO - Evaluating hmean-iou... 2022/08/25 23:38:53 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7662, precision: 0.6458, hmean: 0.7009 2022/08/25 23:38:53 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7587, precision: 0.6794, hmean: 0.7169 2022/08/25 23:38:53 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7506, precision: 0.7015, hmean: 0.7252 2022/08/25 23:38:53 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7385, precision: 0.7249, hmean: 0.7316 2022/08/25 23:38:53 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7239, precision: 0.7513, hmean: 0.7373 2022/08/25 23:38:53 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7011, precision: 0.7817, hmean: 0.7392 2022/08/25 23:38:53 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6283, precision: 0.8313, hmean: 0.7157 2022/08/25 23:38:53 - mmengine - INFO - Epoch(val) [60][500/500] icdar/precision: 0.7817 icdar/recall: 0.7011 icdar/hmean: 0.7392 2022/08/25 23:38:56 - mmengine - INFO - Epoch(train) [61][5/125] lr: 9.6391e-04 eta: 0:00:00 time: 0.5594 data_time: 0.0887 memory: 9483 loss_text: 0.8872 loss_center: 2.8106 loss_reg_x: 1.2861 loss_reg_y: 1.1080 loss: 6.0919 2022/08/25 23:38:58 - mmengine - INFO - Epoch(train) [61][10/125] lr: 9.6391e-04 eta: 1 day, 4:33:54 time: 0.5717 data_time: 0.0834 memory: 9483 loss_text: 0.8801 loss_center: 2.8020 loss_reg_x: 1.7069 loss_reg_y: 1.4606 loss: 6.8496 2022/08/25 23:39:01 - mmengine - INFO - Epoch(train) [61][15/125] lr: 9.6391e-04 eta: 1 day, 4:33:54 time: 0.5138 data_time: 0.0120 memory: 9483 loss_text: 0.8706 loss_center: 2.8169 loss_reg_x: 1.6770 loss_reg_y: 1.6164 loss: 6.9809 2022/08/25 23:39:04 - mmengine - INFO - Epoch(train) [61][20/125] lr: 9.6391e-04 eta: 1 day, 4:33:37 time: 0.5237 data_time: 0.0149 memory: 9483 loss_text: 0.8944 loss_center: 2.8221 loss_reg_x: 1.4293 loss_reg_y: 1.3665 loss: 6.5123 2022/08/25 23:39:08 - mmengine - INFO - Epoch(train) [61][25/125] lr: 9.6391e-04 eta: 1 day, 4:33:37 time: 0.6993 data_time: 0.0459 memory: 9483 loss_text: 0.9167 loss_center: 2.8227 loss_reg_x: 1.4342 loss_reg_y: 1.3014 loss: 6.4750 2022/08/25 23:39:10 - mmengine - INFO - Epoch(train) [61][30/125] lr: 9.6391e-04 eta: 1 day, 4:33:56 time: 0.6764 data_time: 0.0449 memory: 9483 loss_text: 0.9301 loss_center: 2.8219 loss_reg_x: 1.5759 loss_reg_y: 1.3471 loss: 6.6751 2022/08/25 23:39:13 - mmengine - INFO - Epoch(train) [61][35/125] lr: 9.6391e-04 eta: 1 day, 4:33:56 time: 0.5028 data_time: 0.0130 memory: 9483 loss_text: 0.9238 loss_center: 2.8130 loss_reg_x: 1.6658 loss_reg_y: 1.2894 loss: 6.6920 2022/08/25 23:39:16 - mmengine - INFO - Epoch(train) [61][40/125] lr: 9.6391e-04 eta: 1 day, 4:33:37 time: 0.5142 data_time: 0.0129 memory: 9483 loss_text: 0.9426 loss_center: 2.8273 loss_reg_x: 1.8583 loss_reg_y: 1.5732 loss: 7.2013 2022/08/25 23:39:18 - mmengine - INFO - Epoch(train) [61][45/125] lr: 9.6391e-04 eta: 1 day, 4:33:37 time: 0.5096 data_time: 0.0156 memory: 9483 loss_text: 0.9675 loss_center: 2.8216 loss_reg_x: 1.8473 loss_reg_y: 1.7566 loss: 7.3930 2022/08/25 23:39:21 - mmengine - INFO - Epoch(train) [61][50/125] lr: 9.6391e-04 eta: 1 day, 4:33:18 time: 0.5159 data_time: 0.0148 memory: 9483 loss_text: 0.9081 loss_center: 2.8094 loss_reg_x: 1.6047 loss_reg_y: 1.4747 loss: 6.7969 2022/08/25 23:39:24 - mmengine - INFO - Epoch(train) [61][55/125] lr: 9.6391e-04 eta: 1 day, 4:33:18 time: 0.5859 data_time: 0.0136 memory: 9483 loss_text: 0.9541 loss_center: 2.8442 loss_reg_x: 1.6550 loss_reg_y: 1.5851 loss: 7.0384 2022/08/25 23:39:27 - mmengine - INFO - Epoch(train) [61][60/125] lr: 9.6391e-04 eta: 1 day, 4:33:29 time: 0.6408 data_time: 0.0292 memory: 9483 loss_text: 0.9102 loss_center: 2.8412 loss_reg_x: 1.4475 loss_reg_y: 1.4272 loss: 6.6261 2022/08/25 23:39:30 - mmengine - INFO - Epoch(train) [61][65/125] lr: 9.6391e-04 eta: 1 day, 4:33:29 time: 0.5897 data_time: 0.0322 memory: 9483 loss_text: 0.8242 loss_center: 2.8254 loss_reg_x: 1.2820 loss_reg_y: 1.1616 loss: 6.0932 2022/08/25 23:39:32 - mmengine - INFO - Epoch(train) [61][70/125] lr: 9.6391e-04 eta: 1 day, 4:33:08 time: 0.5086 data_time: 0.0173 memory: 9483 loss_text: 0.9170 loss_center: 2.8238 loss_reg_x: 1.3393 loss_reg_y: 1.1449 loss: 6.2251 2022/08/25 23:39:35 - mmengine - INFO - Epoch(train) [61][75/125] lr: 9.6391e-04 eta: 1 day, 4:33:08 time: 0.4789 data_time: 0.0129 memory: 9483 loss_text: 1.0223 loss_center: 2.8270 loss_reg_x: 1.7275 loss_reg_y: 1.3074 loss: 6.8842 2022/08/25 23:39:37 - mmengine - INFO - Epoch(train) [61][80/125] lr: 9.6391e-04 eta: 1 day, 4:32:51 time: 0.5233 data_time: 0.0152 memory: 9483 loss_text: 1.0594 loss_center: 2.8350 loss_reg_x: 2.0085 loss_reg_y: 1.6241 loss: 7.5270 2022/08/25 23:39:40 - mmengine - INFO - Epoch(train) [61][85/125] lr: 9.6391e-04 eta: 1 day, 4:32:51 time: 0.5428 data_time: 0.0172 memory: 9483 loss_text: 1.0106 loss_center: 2.8249 loss_reg_x: 1.6376 loss_reg_y: 1.5735 loss: 7.0466 2022/08/25 23:39:43 - mmengine - INFO - Epoch(train) [61][90/125] lr: 9.6391e-04 eta: 1 day, 4:32:31 time: 0.5095 data_time: 0.0147 memory: 9483 loss_text: 0.9514 loss_center: 2.8332 loss_reg_x: 1.4302 loss_reg_y: 1.3890 loss: 6.6037 2022/08/25 23:39:47 - mmengine - INFO - Epoch(train) [61][95/125] lr: 9.6391e-04 eta: 1 day, 4:32:31 time: 0.6602 data_time: 0.0191 memory: 9483 loss_text: 0.9553 loss_center: 2.8479 loss_reg_x: 1.4088 loss_reg_y: 1.2605 loss: 6.4724 2022/08/25 23:39:49 - mmengine - INFO - Epoch(train) [61][100/125] lr: 9.6391e-04 eta: 1 day, 4:32:44 time: 0.6504 data_time: 0.0200 memory: 9483 loss_text: 1.0749 loss_center: 2.8451 loss_reg_x: 1.4394 loss_reg_y: 1.3616 loss: 6.7208 2022/08/25 23:39:52 - mmengine - INFO - Epoch(train) [61][105/125] lr: 9.6391e-04 eta: 1 day, 4:32:44 time: 0.4990 data_time: 0.0188 memory: 9483 loss_text: 0.9348 loss_center: 2.8127 loss_reg_x: 1.2922 loss_reg_y: 1.3984 loss: 6.4381 2022/08/25 23:39:54 - mmengine - INFO - Epoch(train) [61][110/125] lr: 9.6391e-04 eta: 1 day, 4:32:23 time: 0.5082 data_time: 0.0181 memory: 9483 loss_text: 0.8396 loss_center: 2.8037 loss_reg_x: 1.6482 loss_reg_y: 1.5483 loss: 6.8398 2022/08/25 23:39:57 - mmengine - INFO - Epoch(train) [61][115/125] lr: 9.6391e-04 eta: 1 day, 4:32:23 time: 0.5171 data_time: 0.0141 memory: 9483 loss_text: 0.9164 loss_center: 2.8150 loss_reg_x: 1.7851 loss_reg_y: 1.3709 loss: 6.8875 2022/08/25 23:40:00 - mmengine - INFO - Epoch(train) [61][120/125] lr: 9.6391e-04 eta: 1 day, 4:32:13 time: 0.5507 data_time: 0.0148 memory: 9483 loss_text: 0.8654 loss_center: 2.8328 loss_reg_x: 1.3168 loss_reg_y: 1.0687 loss: 6.0837 2022/08/25 23:40:02 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:40:02 - mmengine - INFO - Epoch(train) [61][125/125] lr: 9.6391e-04 eta: 1 day, 4:32:13 time: 0.5332 data_time: 0.0184 memory: 9483 loss_text: 0.9312 loss_center: 2.8333 loss_reg_x: 1.3326 loss_reg_y: 1.1143 loss: 6.2114 2022/08/25 23:40:06 - mmengine - INFO - Epoch(train) [62][5/125] lr: 9.6330e-04 eta: 1 day, 4:32:13 time: 0.6394 data_time: 0.1158 memory: 9483 loss_text: 0.9454 loss_center: 2.8169 loss_reg_x: 1.3028 loss_reg_y: 1.0964 loss: 6.1615 2022/08/25 23:40:09 - mmengine - INFO - Epoch(train) [62][10/125] lr: 9.6330e-04 eta: 1 day, 4:31:14 time: 0.6422 data_time: 0.1153 memory: 9483 loss_text: 0.8396 loss_center: 2.8093 loss_reg_x: 1.2811 loss_reg_y: 1.1599 loss: 6.0899 2022/08/25 23:40:11 - mmengine - INFO - Epoch(train) [62][15/125] lr: 9.6330e-04 eta: 1 day, 4:31:14 time: 0.5049 data_time: 0.0168 memory: 9483 loss_text: 0.7981 loss_center: 2.7953 loss_reg_x: 1.3803 loss_reg_y: 1.1733 loss: 6.1470 2022/08/25 23:40:14 - mmengine - INFO - Epoch(train) [62][20/125] lr: 9.6330e-04 eta: 1 day, 4:30:54 time: 0.5101 data_time: 0.0180 memory: 9483 loss_text: 0.8225 loss_center: 2.8072 loss_reg_x: 1.2586 loss_reg_y: 1.0927 loss: 5.9811 2022/08/25 23:40:17 - mmengine - INFO - Epoch(train) [62][25/125] lr: 9.6330e-04 eta: 1 day, 4:30:54 time: 0.6363 data_time: 0.0182 memory: 9483 loss_text: 0.8490 loss_center: 2.8195 loss_reg_x: 1.3664 loss_reg_y: 1.2364 loss: 6.2713 2022/08/25 23:40:20 - mmengine - INFO - Epoch(train) [62][30/125] lr: 9.6330e-04 eta: 1 day, 4:31:01 time: 0.6243 data_time: 0.0142 memory: 9483 loss_text: 1.0392 loss_center: 2.8330 loss_reg_x: 1.4927 loss_reg_y: 1.4308 loss: 6.7957 2022/08/25 23:40:22 - mmengine - INFO - Epoch(train) [62][35/125] lr: 9.6330e-04 eta: 1 day, 4:31:01 time: 0.4944 data_time: 0.0149 memory: 9483 loss_text: 1.1553 loss_center: 2.8486 loss_reg_x: 1.6935 loss_reg_y: 1.4874 loss: 7.1849 2022/08/25 23:40:28 - mmengine - INFO - Epoch(train) [62][40/125] lr: 9.6330e-04 eta: 1 day, 4:32:01 time: 0.8506 data_time: 0.0340 memory: 9483 loss_text: 1.0383 loss_center: 2.8506 loss_reg_x: 1.8716 loss_reg_y: 1.5234 loss: 7.2839 2022/08/25 23:40:31 - mmengine - INFO - Epoch(train) [62][45/125] lr: 9.6330e-04 eta: 1 day, 4:32:01 time: 0.8813 data_time: 0.0359 memory: 9483 loss_text: 0.9428 loss_center: 2.8481 loss_reg_x: 1.5509 loss_reg_y: 1.3319 loss: 6.6737 2022/08/25 23:40:34 - mmengine - INFO - Epoch(train) [62][50/125] lr: 9.6330e-04 eta: 1 day, 4:31:47 time: 0.5361 data_time: 0.0160 memory: 9483 loss_text: 0.9165 loss_center: 2.8309 loss_reg_x: 1.3712 loss_reg_y: 1.3431 loss: 6.4618 2022/08/25 23:40:37 - mmengine - INFO - Epoch(train) [62][55/125] lr: 9.6330e-04 eta: 1 day, 4:31:47 time: 0.5558 data_time: 0.0191 memory: 9483 loss_text: 0.8872 loss_center: 2.8165 loss_reg_x: 1.5600 loss_reg_y: 1.5569 loss: 6.8207 2022/08/25 23:40:39 - mmengine - INFO - Epoch(train) [62][60/125] lr: 9.6330e-04 eta: 1 day, 4:31:34 time: 0.5426 data_time: 0.0190 memory: 9483 loss_text: 1.0097 loss_center: 2.8459 loss_reg_x: 1.6680 loss_reg_y: 1.4457 loss: 6.9693 2022/08/25 23:40:42 - mmengine - INFO - Epoch(train) [62][65/125] lr: 9.6330e-04 eta: 1 day, 4:31:34 time: 0.5369 data_time: 0.0142 memory: 9483 loss_text: 1.1590 loss_center: 2.8420 loss_reg_x: 1.6012 loss_reg_y: 1.2805 loss: 6.8827 2022/08/25 23:40:45 - mmengine - INFO - Epoch(train) [62][70/125] lr: 9.6330e-04 eta: 1 day, 4:31:30 time: 0.5795 data_time: 0.0137 memory: 9483 loss_text: 1.1199 loss_center: 2.8257 loss_reg_x: 1.6972 loss_reg_y: 1.2449 loss: 6.8877 2022/08/25 23:40:48 - mmengine - INFO - Epoch(train) [62][75/125] lr: 9.6330e-04 eta: 1 day, 4:31:30 time: 0.5565 data_time: 0.0288 memory: 9483 loss_text: 1.0193 loss_center: 2.8332 loss_reg_x: 1.7059 loss_reg_y: 1.6506 loss: 7.2090 2022/08/25 23:40:50 - mmengine - INFO - Epoch(train) [62][80/125] lr: 9.6330e-04 eta: 1 day, 4:31:10 time: 0.5078 data_time: 0.0283 memory: 9483 loss_text: 0.9781 loss_center: 2.8387 loss_reg_x: 1.4420 loss_reg_y: 1.8682 loss: 7.1271 2022/08/25 23:40:53 - mmengine - INFO - Epoch(train) [62][85/125] lr: 9.6330e-04 eta: 1 day, 4:31:10 time: 0.4967 data_time: 0.0134 memory: 9483 loss_text: 0.9894 loss_center: 2.8408 loss_reg_x: 1.4123 loss_reg_y: 1.4693 loss: 6.7118 2022/08/25 23:40:56 - mmengine - INFO - Epoch(train) [62][90/125] lr: 9.6330e-04 eta: 1 day, 4:31:17 time: 0.6258 data_time: 0.0140 memory: 9483 loss_text: 0.8990 loss_center: 2.7960 loss_reg_x: 1.3345 loss_reg_y: 1.0970 loss: 6.1265 2022/08/25 23:40:59 - mmengine - INFO - Epoch(train) [62][95/125] lr: 9.6330e-04 eta: 1 day, 4:31:17 time: 0.6207 data_time: 0.0169 memory: 9483 loss_text: 0.8453 loss_center: 2.7852 loss_reg_x: 1.2439 loss_reg_y: 1.0434 loss: 5.9178 2022/08/25 23:41:01 - mmengine - INFO - Epoch(train) [62][100/125] lr: 9.6330e-04 eta: 1 day, 4:30:53 time: 0.4904 data_time: 0.0165 memory: 9483 loss_text: 0.9366 loss_center: 2.8215 loss_reg_x: 1.4975 loss_reg_y: 1.3836 loss: 6.6393 2022/08/25 23:41:04 - mmengine - INFO - Epoch(train) [62][105/125] lr: 9.6330e-04 eta: 1 day, 4:30:53 time: 0.4764 data_time: 0.0147 memory: 9483 loss_text: 0.9749 loss_center: 2.8410 loss_reg_x: 1.4024 loss_reg_y: 1.5205 loss: 6.7388 2022/08/25 23:41:08 - mmengine - INFO - Epoch(train) [62][110/125] lr: 9.6330e-04 eta: 1 day, 4:31:04 time: 0.6451 data_time: 0.0467 memory: 9483 loss_text: 0.8935 loss_center: 2.8080 loss_reg_x: 1.2081 loss_reg_y: 1.3152 loss: 6.2247 2022/08/25 23:41:11 - mmengine - INFO - Epoch(train) [62][115/125] lr: 9.6330e-04 eta: 1 day, 4:31:04 time: 0.7306 data_time: 0.0498 memory: 9483 loss_text: 0.8114 loss_center: 2.7891 loss_reg_x: 1.1737 loss_reg_y: 1.0927 loss: 5.8669 2022/08/25 23:41:14 - mmengine - INFO - Epoch(train) [62][120/125] lr: 9.6330e-04 eta: 1 day, 4:31:01 time: 0.5814 data_time: 0.0183 memory: 9483 loss_text: 0.8693 loss_center: 2.8199 loss_reg_x: 1.2516 loss_reg_y: 1.1194 loss: 6.0602 2022/08/25 23:41:16 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:41:16 - mmengine - INFO - Epoch(train) [62][125/125] lr: 9.6330e-04 eta: 1 day, 4:31:01 time: 0.5437 data_time: 0.0183 memory: 9483 loss_text: 0.8708 loss_center: 2.8065 loss_reg_x: 1.4158 loss_reg_y: 1.2669 loss: 6.3599 2022/08/25 23:41:19 - mmengine - INFO - Epoch(train) [63][5/125] lr: 9.6270e-04 eta: 1 day, 4:31:01 time: 0.5857 data_time: 0.0759 memory: 9483 loss_text: 0.8188 loss_center: 2.7412 loss_reg_x: 1.4869 loss_reg_y: 1.2988 loss: 6.3457 2022/08/25 23:41:22 - mmengine - INFO - Epoch(train) [63][10/125] lr: 9.6270e-04 eta: 1 day, 4:29:40 time: 0.5451 data_time: 0.0748 memory: 9483 loss_text: 0.8274 loss_center: 2.7577 loss_reg_x: 1.3851 loss_reg_y: 1.2009 loss: 6.1711 2022/08/25 23:41:25 - mmengine - INFO - Epoch(train) [63][15/125] lr: 9.6270e-04 eta: 1 day, 4:29:40 time: 0.5220 data_time: 0.0162 memory: 9483 loss_text: 0.7891 loss_center: 2.8145 loss_reg_x: 1.3323 loss_reg_y: 1.3265 loss: 6.2623 2022/08/25 23:41:27 - mmengine - INFO - Epoch(train) [63][20/125] lr: 9.6270e-04 eta: 1 day, 4:29:20 time: 0.5105 data_time: 0.0169 memory: 9483 loss_text: 0.8536 loss_center: 2.8188 loss_reg_x: 1.3991 loss_reg_y: 1.3788 loss: 6.4504 2022/08/25 23:41:29 - mmengine - INFO - Epoch(train) [63][25/125] lr: 9.6270e-04 eta: 1 day, 4:29:20 time: 0.4735 data_time: 0.0178 memory: 9483 loss_text: 0.9442 loss_center: 2.8301 loss_reg_x: 1.4197 loss_reg_y: 1.2523 loss: 6.4463 2022/08/25 23:41:32 - mmengine - INFO - Epoch(train) [63][30/125] lr: 9.6270e-04 eta: 1 day, 4:28:59 time: 0.5029 data_time: 0.0131 memory: 9483 loss_text: 0.9033 loss_center: 2.8288 loss_reg_x: 1.3852 loss_reg_y: 1.1747 loss: 6.2920 2022/08/25 23:41:34 - mmengine - INFO - Epoch(train) [63][35/125] lr: 9.6270e-04 eta: 1 day, 4:28:59 time: 0.5098 data_time: 0.0159 memory: 9483 loss_text: 0.9342 loss_center: 2.8266 loss_reg_x: 1.3036 loss_reg_y: 1.1201 loss: 6.1845 2022/08/25 23:41:41 - mmengine - INFO - Epoch(train) [63][40/125] lr: 9.6270e-04 eta: 1 day, 4:30:11 time: 0.9088 data_time: 0.0156 memory: 9483 loss_text: 1.0025 loss_center: 2.8307 loss_reg_x: 1.2757 loss_reg_y: 1.1503 loss: 6.2592 2022/08/25 23:41:44 - mmengine - INFO - Epoch(train) [63][45/125] lr: 9.6270e-04 eta: 1 day, 4:30:11 time: 0.9037 data_time: 0.0127 memory: 9483 loss_text: 0.9367 loss_center: 2.7631 loss_reg_x: 1.3029 loss_reg_y: 1.0515 loss: 6.0542 2022/08/25 23:41:46 - mmengine - INFO - Epoch(train) [63][50/125] lr: 9.6270e-04 eta: 1 day, 4:29:45 time: 0.4820 data_time: 0.0152 memory: 9483 loss_text: 0.9521 loss_center: 2.7540 loss_reg_x: 1.4676 loss_reg_y: 1.2292 loss: 6.4028 2022/08/25 23:41:49 - mmengine - INFO - Epoch(train) [63][55/125] lr: 9.6270e-04 eta: 1 day, 4:29:45 time: 0.4990 data_time: 0.0154 memory: 9483 loss_text: 1.0895 loss_center: 2.8230 loss_reg_x: 1.5952 loss_reg_y: 1.4214 loss: 6.9290 2022/08/25 23:41:51 - mmengine - INFO - Epoch(train) [63][60/125] lr: 9.6270e-04 eta: 1 day, 4:29:32 time: 0.5379 data_time: 0.0128 memory: 9483 loss_text: 1.0244 loss_center: 2.8090 loss_reg_x: 1.4829 loss_reg_y: 1.2141 loss: 6.5304 2022/08/25 23:41:54 - mmengine - INFO - Epoch(train) [63][65/125] lr: 9.6270e-04 eta: 1 day, 4:29:32 time: 0.5224 data_time: 0.0131 memory: 9483 loss_text: 0.9261 loss_center: 2.8001 loss_reg_x: 1.3820 loss_reg_y: 1.0654 loss: 6.1736 2022/08/25 23:41:58 - mmengine - INFO - Epoch(train) [63][70/125] lr: 9.6270e-04 eta: 1 day, 4:29:50 time: 0.6757 data_time: 0.0285 memory: 9483 loss_text: 0.9614 loss_center: 2.8161 loss_reg_x: 1.4363 loss_reg_y: 1.4006 loss: 6.6143 2022/08/25 23:42:01 - mmengine - INFO - Epoch(train) [63][75/125] lr: 9.6270e-04 eta: 1 day, 4:29:50 time: 0.7333 data_time: 0.0301 memory: 9483 loss_text: 0.9385 loss_center: 2.8218 loss_reg_x: 1.4658 loss_reg_y: 1.4856 loss: 6.7117 2022/08/25 23:42:04 - mmengine - INFO - Epoch(train) [63][80/125] lr: 9.6270e-04 eta: 1 day, 4:29:42 time: 0.5589 data_time: 0.0166 memory: 9483 loss_text: 0.8579 loss_center: 2.8134 loss_reg_x: 1.4580 loss_reg_y: 1.2629 loss: 6.3921 2022/08/25 23:42:07 - mmengine - INFO - Epoch(train) [63][85/125] lr: 9.6270e-04 eta: 1 day, 4:29:42 time: 0.5832 data_time: 0.0144 memory: 9483 loss_text: 0.7894 loss_center: 2.8070 loss_reg_x: 1.3717 loss_reg_y: 1.2373 loss: 6.2055 2022/08/25 23:42:09 - mmengine - INFO - Epoch(train) [63][90/125] lr: 9.6270e-04 eta: 1 day, 4:29:36 time: 0.5690 data_time: 0.0148 memory: 9483 loss_text: 0.9120 loss_center: 2.8238 loss_reg_x: 1.5721 loss_reg_y: 1.4214 loss: 6.7293 2022/08/25 23:42:12 - mmengine - INFO - Epoch(train) [63][95/125] lr: 9.6270e-04 eta: 1 day, 4:29:36 time: 0.4908 data_time: 0.0155 memory: 9483 loss_text: 0.9908 loss_center: 2.8339 loss_reg_x: 1.7048 loss_reg_y: 1.5267 loss: 7.0561 2022/08/25 23:42:14 - mmengine - INFO - Epoch(train) [63][100/125] lr: 9.6270e-04 eta: 1 day, 4:29:12 time: 0.4942 data_time: 0.0135 memory: 9483 loss_text: 0.9730 loss_center: 2.8176 loss_reg_x: 1.6147 loss_reg_y: 1.4935 loss: 6.8988 2022/08/25 23:42:19 - mmengine - INFO - Epoch(train) [63][105/125] lr: 9.6270e-04 eta: 1 day, 4:29:12 time: 0.6749 data_time: 0.0128 memory: 9483 loss_text: 0.9572 loss_center: 2.8101 loss_reg_x: 1.5398 loss_reg_y: 1.4242 loss: 6.7312 2022/08/25 23:42:21 - mmengine - INFO - Epoch(train) [63][110/125] lr: 9.6270e-04 eta: 1 day, 4:29:35 time: 0.6929 data_time: 0.0159 memory: 9483 loss_text: 0.9662 loss_center: 2.8459 loss_reg_x: 1.7516 loss_reg_y: 1.6812 loss: 7.2449 2022/08/25 23:42:24 - mmengine - INFO - Epoch(train) [63][115/125] lr: 9.6270e-04 eta: 1 day, 4:29:35 time: 0.5145 data_time: 0.0181 memory: 9483 loss_text: 0.9966 loss_center: 2.8593 loss_reg_x: 1.7568 loss_reg_y: 1.8363 loss: 7.4490 2022/08/25 23:42:26 - mmengine - INFO - Epoch(train) [63][120/125] lr: 9.6270e-04 eta: 1 day, 4:29:13 time: 0.5033 data_time: 0.0147 memory: 9483 loss_text: 0.9492 loss_center: 2.8216 loss_reg_x: 1.3812 loss_reg_y: 1.4677 loss: 6.6198 2022/08/25 23:42:29 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:42:29 - mmengine - INFO - Epoch(train) [63][125/125] lr: 9.6270e-04 eta: 1 day, 4:29:13 time: 0.5011 data_time: 0.0129 memory: 9483 loss_text: 0.8868 loss_center: 2.8025 loss_reg_x: 1.2064 loss_reg_y: 1.2353 loss: 6.1310 2022/08/25 23:42:32 - mmengine - INFO - Epoch(train) [64][5/125] lr: 9.6210e-04 eta: 1 day, 4:29:13 time: 0.5675 data_time: 0.0936 memory: 9483 loss_text: 0.8912 loss_center: 2.8200 loss_reg_x: 1.3500 loss_reg_y: 1.3381 loss: 6.3993 2022/08/25 23:42:34 - mmengine - INFO - Epoch(train) [64][10/125] lr: 9.6210e-04 eta: 1 day, 4:27:59 time: 0.5661 data_time: 0.0950 memory: 9483 loss_text: 1.0634 loss_center: 2.8224 loss_reg_x: 1.4357 loss_reg_y: 1.3076 loss: 6.6291 2022/08/25 23:42:41 - mmengine - INFO - Epoch(train) [64][15/125] lr: 9.6210e-04 eta: 1 day, 4:27:59 time: 0.8615 data_time: 0.0205 memory: 9483 loss_text: 1.0578 loss_center: 2.8267 loss_reg_x: 1.4046 loss_reg_y: 1.3598 loss: 6.6488 2022/08/25 23:42:43 - mmengine - INFO - Epoch(train) [64][20/125] lr: 9.6210e-04 eta: 1 day, 4:29:03 time: 0.8787 data_time: 0.0221 memory: 9483 loss_text: 0.9207 loss_center: 2.8384 loss_reg_x: 1.4344 loss_reg_y: 1.4384 loss: 6.6318 2022/08/25 23:42:46 - mmengine - INFO - Epoch(train) [64][25/125] lr: 9.6210e-04 eta: 1 day, 4:29:03 time: 0.5890 data_time: 0.0188 memory: 9483 loss_text: 0.9413 loss_center: 2.8234 loss_reg_x: 1.2191 loss_reg_y: 1.1487 loss: 6.1325 2022/08/25 23:42:49 - mmengine - INFO - Epoch(train) [64][30/125] lr: 9.6210e-04 eta: 1 day, 4:28:52 time: 0.5482 data_time: 0.0167 memory: 9483 loss_text: 0.9207 loss_center: 2.8221 loss_reg_x: 1.2208 loss_reg_y: 1.1675 loss: 6.1312 2022/08/25 23:42:51 - mmengine - INFO - Epoch(train) [64][35/125] lr: 9.6210e-04 eta: 1 day, 4:28:52 time: 0.4780 data_time: 0.0133 memory: 9483 loss_text: 0.9005 loss_center: 2.8284 loss_reg_x: 1.2794 loss_reg_y: 1.3087 loss: 6.3170 2022/08/25 23:42:54 - mmengine - INFO - Epoch(train) [64][40/125] lr: 9.6210e-04 eta: 1 day, 4:28:31 time: 0.5039 data_time: 0.0139 memory: 9483 loss_text: 0.9073 loss_center: 2.8088 loss_reg_x: 1.2469 loss_reg_y: 1.2185 loss: 6.1815 2022/08/25 23:42:59 - mmengine - INFO - Epoch(train) [64][45/125] lr: 9.6210e-04 eta: 1 day, 4:28:31 time: 0.7453 data_time: 0.0452 memory: 9483 loss_text: 0.8118 loss_center: 2.8040 loss_reg_x: 1.3017 loss_reg_y: 1.1191 loss: 6.0366 2022/08/25 23:43:01 - mmengine - INFO - Epoch(train) [64][50/125] lr: 9.6210e-04 eta: 1 day, 4:29:10 time: 0.7670 data_time: 0.0442 memory: 9483 loss_text: 0.9052 loss_center: 2.8126 loss_reg_x: 1.3856 loss_reg_y: 1.3133 loss: 6.4167 2022/08/25 23:43:04 - mmengine - INFO - Epoch(train) [64][55/125] lr: 9.6210e-04 eta: 1 day, 4:29:10 time: 0.5273 data_time: 0.0156 memory: 9483 loss_text: 0.9416 loss_center: 2.8053 loss_reg_x: 1.3812 loss_reg_y: 1.3354 loss: 6.4635 2022/08/25 23:43:07 - mmengine - INFO - Epoch(train) [64][60/125] lr: 9.6210e-04 eta: 1 day, 4:29:07 time: 0.5833 data_time: 0.0167 memory: 9483 loss_text: 0.7278 loss_center: 2.7865 loss_reg_x: 1.1752 loss_reg_y: 1.0253 loss: 5.7148 2022/08/25 23:43:10 - mmengine - INFO - Epoch(train) [64][65/125] lr: 9.6210e-04 eta: 1 day, 4:29:07 time: 0.6028 data_time: 0.0143 memory: 9483 loss_text: 0.7166 loss_center: 2.7395 loss_reg_x: 1.1717 loss_reg_y: 0.9713 loss: 5.5991 2022/08/25 23:43:12 - mmengine - INFO - Epoch(train) [64][70/125] lr: 9.6210e-04 eta: 1 day, 4:28:50 time: 0.5192 data_time: 0.0127 memory: 9483 loss_text: 0.8324 loss_center: 2.7500 loss_reg_x: 1.3307 loss_reg_y: 1.1289 loss: 6.0421 2022/08/25 23:43:16 - mmengine - INFO - Epoch(train) [64][75/125] lr: 9.6210e-04 eta: 1 day, 4:28:50 time: 0.5593 data_time: 0.0153 memory: 9483 loss_text: 0.8708 loss_center: 2.8057 loss_reg_x: 1.2450 loss_reg_y: 1.2139 loss: 6.1354 2022/08/25 23:43:19 - mmengine - INFO - Epoch(train) [64][80/125] lr: 9.6210e-04 eta: 1 day, 4:29:00 time: 0.6439 data_time: 0.0162 memory: 9483 loss_text: 0.8315 loss_center: 2.7581 loss_reg_x: 1.2082 loss_reg_y: 1.1752 loss: 5.9730 2022/08/25 23:43:21 - mmengine - INFO - Epoch(train) [64][85/125] lr: 9.6210e-04 eta: 1 day, 4:29:00 time: 0.5591 data_time: 0.0140 memory: 9483 loss_text: 0.8207 loss_center: 2.7597 loss_reg_x: 1.2161 loss_reg_y: 1.1852 loss: 5.9817 2022/08/25 23:43:24 - mmengine - INFO - Epoch(train) [64][90/125] lr: 9.6210e-04 eta: 1 day, 4:28:36 time: 0.4865 data_time: 0.0144 memory: 9483 loss_text: 0.8594 loss_center: 2.8150 loss_reg_x: 1.4110 loss_reg_y: 1.2957 loss: 6.3811 2022/08/25 23:43:27 - mmengine - INFO - Epoch(train) [64][95/125] lr: 9.6210e-04 eta: 1 day, 4:28:36 time: 0.5604 data_time: 0.0196 memory: 9483 loss_text: 0.9390 loss_center: 2.8271 loss_reg_x: 1.5679 loss_reg_y: 1.3534 loss: 6.6873 2022/08/25 23:43:29 - mmengine - INFO - Epoch(train) [64][100/125] lr: 9.6210e-04 eta: 1 day, 4:28:28 time: 0.5623 data_time: 0.0182 memory: 9483 loss_text: 0.8994 loss_center: 2.8171 loss_reg_x: 1.3918 loss_reg_y: 1.4570 loss: 6.5653 2022/08/25 23:43:32 - mmengine - INFO - Epoch(train) [64][105/125] lr: 9.6210e-04 eta: 1 day, 4:28:28 time: 0.5134 data_time: 0.0132 memory: 9483 loss_text: 0.7689 loss_center: 2.8097 loss_reg_x: 1.3567 loss_reg_y: 1.3457 loss: 6.2810 2022/08/25 23:43:34 - mmengine - INFO - Epoch(train) [64][110/125] lr: 9.6210e-04 eta: 1 day, 4:28:07 time: 0.5027 data_time: 0.0134 memory: 9483 loss_text: 0.8498 loss_center: 2.8273 loss_reg_x: 1.6910 loss_reg_y: 1.3722 loss: 6.7403 2022/08/25 23:43:40 - mmengine - INFO - Epoch(train) [64][115/125] lr: 9.6210e-04 eta: 1 day, 4:28:07 time: 0.7717 data_time: 0.0455 memory: 9483 loss_text: 1.0256 loss_center: 2.8383 loss_reg_x: 1.8039 loss_reg_y: 1.4960 loss: 7.1637 2022/08/25 23:43:42 - mmengine - INFO - Epoch(train) [64][120/125] lr: 9.6210e-04 eta: 1 day, 4:28:48 time: 0.7776 data_time: 0.0453 memory: 9483 loss_text: 1.1146 loss_center: 2.8319 loss_reg_x: 1.6768 loss_reg_y: 1.4829 loss: 7.1062 2022/08/25 23:43:45 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:43:45 - mmengine - INFO - Epoch(train) [64][125/125] lr: 9.6210e-04 eta: 1 day, 4:28:48 time: 0.4879 data_time: 0.0130 memory: 9483 loss_text: 1.1201 loss_center: 2.8333 loss_reg_x: 1.8484 loss_reg_y: 1.6363 loss: 7.4382 2022/08/25 23:43:48 - mmengine - INFO - Epoch(train) [65][5/125] lr: 9.6149e-04 eta: 1 day, 4:28:48 time: 0.5933 data_time: 0.1050 memory: 9483 loss_text: 1.1079 loss_center: 2.8623 loss_reg_x: 1.9389 loss_reg_y: 1.6105 loss: 7.5194 2022/08/25 23:43:51 - mmengine - INFO - Epoch(train) [65][10/125] lr: 9.6149e-04 eta: 1 day, 4:27:43 time: 0.6084 data_time: 0.1040 memory: 9483 loss_text: 0.9808 loss_center: 2.8387 loss_reg_x: 1.6336 loss_reg_y: 1.4936 loss: 6.9467 2022/08/25 23:43:53 - mmengine - INFO - Epoch(train) [65][15/125] lr: 9.6149e-04 eta: 1 day, 4:27:43 time: 0.5076 data_time: 0.0124 memory: 9483 loss_text: 0.8726 loss_center: 2.8177 loss_reg_x: 1.5025 loss_reg_y: 1.5100 loss: 6.7028 2022/08/25 23:43:59 - mmengine - INFO - Epoch(train) [65][20/125] lr: 9.6149e-04 eta: 1 day, 4:28:26 time: 0.7875 data_time: 0.0138 memory: 9483 loss_text: 0.8801 loss_center: 2.8204 loss_reg_x: 1.6382 loss_reg_y: 1.5476 loss: 6.8862 2022/08/25 23:44:01 - mmengine - INFO - Epoch(train) [65][25/125] lr: 9.6149e-04 eta: 1 day, 4:28:26 time: 0.8039 data_time: 0.0194 memory: 9483 loss_text: 0.9197 loss_center: 2.8236 loss_reg_x: 1.5428 loss_reg_y: 1.4070 loss: 6.6930 2022/08/25 23:44:04 - mmengine - INFO - Epoch(train) [65][30/125] lr: 9.6149e-04 eta: 1 day, 4:28:08 time: 0.5166 data_time: 0.0190 memory: 9483 loss_text: 1.1238 loss_center: 2.8429 loss_reg_x: 1.7118 loss_reg_y: 1.4619 loss: 7.1403 2022/08/25 23:44:06 - mmengine - INFO - Epoch(train) [65][35/125] lr: 9.6149e-04 eta: 1 day, 4:28:08 time: 0.5176 data_time: 0.0130 memory: 9483 loss_text: 1.0777 loss_center: 2.8258 loss_reg_x: 1.5638 loss_reg_y: 1.3947 loss: 6.8620 2022/08/25 23:44:09 - mmengine - INFO - Epoch(train) [65][40/125] lr: 9.6149e-04 eta: 1 day, 4:27:56 time: 0.5407 data_time: 0.0137 memory: 9483 loss_text: 0.8858 loss_center: 2.7993 loss_reg_x: 1.1868 loss_reg_y: 1.0667 loss: 5.9386 2022/08/25 23:44:12 - mmengine - INFO - Epoch(train) [65][45/125] lr: 9.6149e-04 eta: 1 day, 4:27:56 time: 0.5460 data_time: 0.0230 memory: 9483 loss_text: 0.9016 loss_center: 2.8229 loss_reg_x: 1.1963 loss_reg_y: 1.1698 loss: 6.0906 2022/08/25 23:44:14 - mmengine - INFO - Epoch(train) [65][50/125] lr: 9.6149e-04 eta: 1 day, 4:27:39 time: 0.5215 data_time: 0.0224 memory: 9483 loss_text: 0.9053 loss_center: 2.8462 loss_reg_x: 1.2552 loss_reg_y: 1.2486 loss: 6.2553 2022/08/25 23:44:19 - mmengine - INFO - Epoch(train) [65][55/125] lr: 9.6149e-04 eta: 1 day, 4:27:39 time: 0.6892 data_time: 0.0591 memory: 9483 loss_text: 0.8909 loss_center: 2.7924 loss_reg_x: 1.3463 loss_reg_y: 1.2457 loss: 6.2754 2022/08/25 23:44:21 - mmengine - INFO - Epoch(train) [65][60/125] lr: 9.6149e-04 eta: 1 day, 4:28:05 time: 0.7125 data_time: 0.0625 memory: 9483 loss_text: 0.8500 loss_center: 2.7762 loss_reg_x: 1.4078 loss_reg_y: 1.3033 loss: 6.3372 2022/08/25 23:44:24 - mmengine - INFO - Epoch(train) [65][65/125] lr: 9.6149e-04 eta: 1 day, 4:28:05 time: 0.5227 data_time: 0.0197 memory: 9483 loss_text: 0.9466 loss_center: 2.8059 loss_reg_x: 1.6710 loss_reg_y: 1.3448 loss: 6.7683 2022/08/25 23:44:27 - mmengine - INFO - Epoch(train) [65][70/125] lr: 9.6149e-04 eta: 1 day, 4:27:47 time: 0.5180 data_time: 0.0240 memory: 9483 loss_text: 1.0395 loss_center: 2.8159 loss_reg_x: 1.7516 loss_reg_y: 1.2891 loss: 6.8961 2022/08/25 23:44:29 - mmengine - INFO - Epoch(train) [65][75/125] lr: 9.6149e-04 eta: 1 day, 4:27:47 time: 0.5135 data_time: 0.0207 memory: 9483 loss_text: 0.9618 loss_center: 2.8326 loss_reg_x: 1.4670 loss_reg_y: 1.2275 loss: 6.4889 2022/08/25 23:44:31 - mmengine - INFO - Epoch(train) [65][80/125] lr: 9.6149e-04 eta: 1 day, 4:27:19 time: 0.4714 data_time: 0.0127 memory: 9483 loss_text: 1.0060 loss_center: 2.8348 loss_reg_x: 1.3836 loss_reg_y: 1.2444 loss: 6.4688 2022/08/25 23:44:34 - mmengine - INFO - Epoch(train) [65][85/125] lr: 9.6149e-04 eta: 1 day, 4:27:19 time: 0.4987 data_time: 0.0162 memory: 9483 loss_text: 0.9818 loss_center: 2.8257 loss_reg_x: 1.4706 loss_reg_y: 1.2670 loss: 6.5450 2022/08/25 23:44:37 - mmengine - INFO - Epoch(train) [65][90/125] lr: 9.6149e-04 eta: 1 day, 4:27:09 time: 0.5496 data_time: 0.0194 memory: 9483 loss_text: 0.8476 loss_center: 2.8134 loss_reg_x: 1.3701 loss_reg_y: 1.2184 loss: 6.2496 2022/08/25 23:44:39 - mmengine - INFO - Epoch(train) [65][95/125] lr: 9.6149e-04 eta: 1 day, 4:27:09 time: 0.5239 data_time: 0.0155 memory: 9483 loss_text: 1.1045 loss_center: 2.7854 loss_reg_x: 1.4235 loss_reg_y: 1.2713 loss: 6.5847 2022/08/25 23:44:42 - mmengine - INFO - Epoch(train) [65][100/125] lr: 9.6149e-04 eta: 1 day, 4:26:45 time: 0.4869 data_time: 0.0127 memory: 9483 loss_text: 1.1598 loss_center: 2.7975 loss_reg_x: 1.6283 loss_reg_y: 1.3942 loss: 6.9798 2022/08/25 23:44:44 - mmengine - INFO - Epoch(train) [65][105/125] lr: 9.6149e-04 eta: 1 day, 4:26:45 time: 0.4791 data_time: 0.0133 memory: 9483 loss_text: 0.9067 loss_center: 2.8235 loss_reg_x: 1.5021 loss_reg_y: 1.3544 loss: 6.5867 2022/08/25 23:44:48 - mmengine - INFO - Epoch(train) [65][110/125] lr: 9.6149e-04 eta: 1 day, 4:26:49 time: 0.6157 data_time: 0.0167 memory: 9483 loss_text: 0.8879 loss_center: 2.8156 loss_reg_x: 1.4073 loss_reg_y: 1.4357 loss: 6.5465 2022/08/25 23:44:50 - mmengine - INFO - Epoch(train) [65][115/125] lr: 9.6149e-04 eta: 1 day, 4:26:49 time: 0.6156 data_time: 0.0168 memory: 9483 loss_text: 0.9372 loss_center: 2.8168 loss_reg_x: 1.4620 loss_reg_y: 1.3654 loss: 6.5814 2022/08/25 23:44:53 - mmengine - INFO - Epoch(train) [65][120/125] lr: 9.6149e-04 eta: 1 day, 4:26:29 time: 0.5080 data_time: 0.0149 memory: 9483 loss_text: 0.8789 loss_center: 2.7995 loss_reg_x: 1.3838 loss_reg_y: 1.1232 loss: 6.1854 2022/08/25 23:44:56 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:44:56 - mmengine - INFO - Epoch(train) [65][125/125] lr: 9.6149e-04 eta: 1 day, 4:26:29 time: 0.5508 data_time: 0.0274 memory: 9483 loss_text: 0.8347 loss_center: 2.8034 loss_reg_x: 1.3596 loss_reg_y: 1.0731 loss: 6.0709 2022/08/25 23:44:59 - mmengine - INFO - Epoch(train) [66][5/125] lr: 9.6089e-04 eta: 1 day, 4:26:29 time: 0.6175 data_time: 0.0812 memory: 9483 loss_text: 0.8555 loss_center: 2.7531 loss_reg_x: 1.3362 loss_reg_y: 1.0076 loss: 5.9525 2022/08/25 23:45:02 - mmengine - INFO - Epoch(train) [66][10/125] lr: 9.6089e-04 eta: 1 day, 4:25:17 time: 0.5691 data_time: 0.0682 memory: 9483 loss_text: 0.7846 loss_center: 2.7393 loss_reg_x: 1.2994 loss_reg_y: 1.2795 loss: 6.1028 2022/08/25 23:45:04 - mmengine - INFO - Epoch(train) [66][15/125] lr: 9.6089e-04 eta: 1 day, 4:25:17 time: 0.5000 data_time: 0.0123 memory: 9483 loss_text: 0.7660 loss_center: 2.7905 loss_reg_x: 1.2421 loss_reg_y: 1.4489 loss: 6.2475 2022/08/25 23:45:07 - mmengine - INFO - Epoch(train) [66][20/125] lr: 9.6089e-04 eta: 1 day, 4:24:59 time: 0.5140 data_time: 0.0136 memory: 9483 loss_text: 0.8325 loss_center: 2.8089 loss_reg_x: 1.3433 loss_reg_y: 1.3155 loss: 6.3003 2022/08/25 23:45:10 - mmengine - INFO - Epoch(train) [66][25/125] lr: 9.6089e-04 eta: 1 day, 4:24:59 time: 0.5332 data_time: 0.0164 memory: 9483 loss_text: 0.8322 loss_center: 2.8112 loss_reg_x: 1.3969 loss_reg_y: 1.2742 loss: 6.3144 2022/08/25 23:45:12 - mmengine - INFO - Epoch(train) [66][30/125] lr: 9.6089e-04 eta: 1 day, 4:24:45 time: 0.5306 data_time: 0.0157 memory: 9483 loss_text: 0.8607 loss_center: 2.8176 loss_reg_x: 1.4932 loss_reg_y: 1.3442 loss: 6.5157 2022/08/25 23:45:15 - mmengine - INFO - Epoch(train) [66][35/125] lr: 9.6089e-04 eta: 1 day, 4:24:45 time: 0.4901 data_time: 0.0129 memory: 9483 loss_text: 0.9584 loss_center: 2.8295 loss_reg_x: 1.5827 loss_reg_y: 1.4926 loss: 6.8631 2022/08/25 23:45:21 - mmengine - INFO - Epoch(train) [66][40/125] lr: 9.6089e-04 eta: 1 day, 4:25:42 time: 0.8557 data_time: 0.0575 memory: 9483 loss_text: 0.9552 loss_center: 2.8221 loss_reg_x: 1.4667 loss_reg_y: 1.3969 loss: 6.6409 2022/08/25 23:45:23 - mmengine - INFO - Epoch(train) [66][45/125] lr: 9.6089e-04 eta: 1 day, 4:25:42 time: 0.8762 data_time: 0.0620 memory: 9483 loss_text: 1.0111 loss_center: 2.8219 loss_reg_x: 1.5187 loss_reg_y: 1.3595 loss: 6.7113 2022/08/25 23:45:26 - mmengine - INFO - Epoch(train) [66][50/125] lr: 9.6089e-04 eta: 1 day, 4:25:23 time: 0.5109 data_time: 0.0169 memory: 9483 loss_text: 1.0312 loss_center: 2.8180 loss_reg_x: 1.4012 loss_reg_y: 1.2632 loss: 6.5135 2022/08/25 23:45:28 - mmengine - INFO - Epoch(train) [66][55/125] lr: 9.6089e-04 eta: 1 day, 4:25:23 time: 0.5206 data_time: 0.0136 memory: 9483 loss_text: 0.9991 loss_center: 2.8195 loss_reg_x: 1.3069 loss_reg_y: 1.2663 loss: 6.3918 2022/08/25 23:45:31 - mmengine - INFO - Epoch(train) [66][60/125] lr: 9.6089e-04 eta: 1 day, 4:25:08 time: 0.5282 data_time: 0.0134 memory: 9483 loss_text: 1.0180 loss_center: 2.8264 loss_reg_x: 1.5096 loss_reg_y: 1.3524 loss: 6.7063 2022/08/25 23:45:34 - mmengine - INFO - Epoch(train) [66][65/125] lr: 9.6089e-04 eta: 1 day, 4:25:08 time: 0.5028 data_time: 0.0144 memory: 9483 loss_text: 0.9668 loss_center: 2.8145 loss_reg_x: 1.3994 loss_reg_y: 1.1388 loss: 6.3195 2022/08/25 23:45:39 - mmengine - INFO - Epoch(train) [66][70/125] lr: 9.6089e-04 eta: 1 day, 4:25:54 time: 0.8062 data_time: 0.0363 memory: 9483 loss_text: 0.9421 loss_center: 2.8235 loss_reg_x: 1.3043 loss_reg_y: 1.1834 loss: 6.2532 2022/08/25 23:45:42 - mmengine - INFO - Epoch(train) [66][75/125] lr: 9.6089e-04 eta: 1 day, 4:25:54 time: 0.8164 data_time: 0.0380 memory: 9483 loss_text: 0.8996 loss_center: 2.8457 loss_reg_x: 1.4831 loss_reg_y: 1.4370 loss: 6.6654 2022/08/25 23:45:44 - mmengine - INFO - Epoch(train) [66][80/125] lr: 9.6089e-04 eta: 1 day, 4:25:38 time: 0.5251 data_time: 0.0210 memory: 9483 loss_text: 0.9093 loss_center: 2.8213 loss_reg_x: 1.3515 loss_reg_y: 1.5585 loss: 6.6406 2022/08/25 23:45:47 - mmengine - INFO - Epoch(train) [66][85/125] lr: 9.6089e-04 eta: 1 day, 4:25:38 time: 0.5107 data_time: 0.0176 memory: 9483 loss_text: 0.9445 loss_center: 2.8086 loss_reg_x: 1.3333 loss_reg_y: 1.5030 loss: 6.5894 2022/08/25 23:45:49 - mmengine - INFO - Epoch(train) [66][90/125] lr: 9.6089e-04 eta: 1 day, 4:25:17 time: 0.4988 data_time: 0.0126 memory: 9483 loss_text: 0.8547 loss_center: 2.8153 loss_reg_x: 1.2428 loss_reg_y: 1.2112 loss: 6.1240 2022/08/25 23:45:52 - mmengine - INFO - Epoch(train) [66][95/125] lr: 9.6089e-04 eta: 1 day, 4:25:17 time: 0.4998 data_time: 0.0124 memory: 9483 loss_text: 0.8533 loss_center: 2.8315 loss_reg_x: 1.2222 loss_reg_y: 1.1896 loss: 6.0967 2022/08/25 23:45:55 - mmengine - INFO - Epoch(train) [66][100/125] lr: 9.6089e-04 eta: 1 day, 4:24:58 time: 0.5117 data_time: 0.0187 memory: 9483 loss_text: 0.8468 loss_center: 2.7727 loss_reg_x: 1.4072 loss_reg_y: 1.3130 loss: 6.3397 2022/08/25 23:45:59 - mmengine - INFO - Epoch(train) [66][105/125] lr: 9.6089e-04 eta: 1 day, 4:24:58 time: 0.7400 data_time: 0.1046 memory: 9483 loss_text: 0.8266 loss_center: 2.7411 loss_reg_x: 1.2836 loss_reg_y: 1.1833 loss: 6.0346 2022/08/25 23:46:02 - mmengine - INFO - Epoch(train) [66][110/125] lr: 9.6089e-04 eta: 1 day, 4:25:21 time: 0.7037 data_time: 0.1003 memory: 9483 loss_text: 0.9319 loss_center: 2.7956 loss_reg_x: 1.2164 loss_reg_y: 1.1217 loss: 6.0656 2022/08/25 23:46:04 - mmengine - INFO - Epoch(train) [66][115/125] lr: 9.6089e-04 eta: 1 day, 4:25:21 time: 0.4850 data_time: 0.0144 memory: 9483 loss_text: 0.9318 loss_center: 2.8030 loss_reg_x: 1.2583 loss_reg_y: 1.2362 loss: 6.2294 2022/08/25 23:46:07 - mmengine - INFO - Epoch(train) [66][120/125] lr: 9.6089e-04 eta: 1 day, 4:25:03 time: 0.5133 data_time: 0.0230 memory: 9483 loss_text: 0.9214 loss_center: 2.8168 loss_reg_x: 1.2775 loss_reg_y: 1.2709 loss: 6.2866 2022/08/25 23:46:09 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:46:09 - mmengine - INFO - Epoch(train) [66][125/125] lr: 9.6089e-04 eta: 1 day, 4:25:03 time: 0.5105 data_time: 0.0226 memory: 9483 loss_text: 0.9324 loss_center: 2.8187 loss_reg_x: 1.1682 loss_reg_y: 1.0733 loss: 5.9926 2022/08/25 23:46:13 - mmengine - INFO - Epoch(train) [67][5/125] lr: 9.6029e-04 eta: 1 day, 4:25:03 time: 0.5849 data_time: 0.0973 memory: 9483 loss_text: 0.8575 loss_center: 2.8027 loss_reg_x: 1.3567 loss_reg_y: 1.2019 loss: 6.2189 2022/08/25 23:46:17 - mmengine - INFO - Epoch(train) [67][10/125] lr: 9.6029e-04 eta: 1 day, 4:24:42 time: 0.7956 data_time: 0.0991 memory: 9483 loss_text: 0.7744 loss_center: 2.7441 loss_reg_x: 1.4425 loss_reg_y: 1.1934 loss: 6.1544 2022/08/25 23:46:20 - mmengine - INFO - Epoch(train) [67][15/125] lr: 9.6029e-04 eta: 1 day, 4:24:42 time: 0.7130 data_time: 0.0178 memory: 9483 loss_text: 0.7916 loss_center: 2.7494 loss_reg_x: 1.2855 loss_reg_y: 1.0698 loss: 5.8963 2022/08/25 23:46:22 - mmengine - INFO - Epoch(train) [67][20/125] lr: 9.6029e-04 eta: 1 day, 4:24:22 time: 0.5046 data_time: 0.0161 memory: 9483 loss_text: 0.7991 loss_center: 2.7941 loss_reg_x: 1.1885 loss_reg_y: 1.0298 loss: 5.8116 2022/08/25 23:46:25 - mmengine - INFO - Epoch(train) [67][25/125] lr: 9.6029e-04 eta: 1 day, 4:24:22 time: 0.4940 data_time: 0.0136 memory: 9483 loss_text: 0.8212 loss_center: 2.8080 loss_reg_x: 1.1529 loss_reg_y: 0.9885 loss: 5.7706 2022/08/25 23:46:27 - mmengine - INFO - Epoch(train) [67][30/125] lr: 9.6029e-04 eta: 1 day, 4:24:04 time: 0.5155 data_time: 0.0235 memory: 9483 loss_text: 0.9341 loss_center: 2.8189 loss_reg_x: 1.2714 loss_reg_y: 1.1536 loss: 6.1780 2022/08/25 23:46:30 - mmengine - INFO - Epoch(train) [67][35/125] lr: 9.6029e-04 eta: 1 day, 4:24:04 time: 0.5229 data_time: 0.0246 memory: 9483 loss_text: 0.9359 loss_center: 2.8027 loss_reg_x: 1.3390 loss_reg_y: 1.2447 loss: 6.3223 2022/08/25 23:46:33 - mmengine - INFO - Epoch(train) [67][40/125] lr: 9.6029e-04 eta: 1 day, 4:23:47 time: 0.5202 data_time: 0.0170 memory: 9483 loss_text: 0.9367 loss_center: 2.7627 loss_reg_x: 1.4034 loss_reg_y: 1.2628 loss: 6.3656 2022/08/25 23:46:35 - mmengine - INFO - Epoch(train) [67][45/125] lr: 9.6029e-04 eta: 1 day, 4:23:47 time: 0.4962 data_time: 0.0152 memory: 9483 loss_text: 0.8949 loss_center: 2.7793 loss_reg_x: 1.3420 loss_reg_y: 1.2921 loss: 6.3082 2022/08/25 23:46:39 - mmengine - INFO - Epoch(train) [67][50/125] lr: 9.6029e-04 eta: 1 day, 4:23:56 time: 0.6382 data_time: 0.0130 memory: 9483 loss_text: 0.8363 loss_center: 2.8320 loss_reg_x: 1.3202 loss_reg_y: 1.3249 loss: 6.3135 2022/08/25 23:46:41 - mmengine - INFO - Epoch(train) [67][55/125] lr: 9.6029e-04 eta: 1 day, 4:23:56 time: 0.6640 data_time: 0.0148 memory: 9483 loss_text: 0.8368 loss_center: 2.8266 loss_reg_x: 1.2852 loss_reg_y: 1.1121 loss: 6.0607 2022/08/25 23:46:44 - mmengine - INFO - Epoch(train) [67][60/125] lr: 9.6029e-04 eta: 1 day, 4:23:34 time: 0.4944 data_time: 0.0158 memory: 9483 loss_text: 0.8695 loss_center: 2.8303 loss_reg_x: 1.2618 loss_reg_y: 1.0561 loss: 6.0177 2022/08/25 23:46:47 - mmengine - INFO - Epoch(train) [67][65/125] lr: 9.6029e-04 eta: 1 day, 4:23:34 time: 0.5171 data_time: 0.0136 memory: 9483 loss_text: 0.8466 loss_center: 2.8125 loss_reg_x: 1.2505 loss_reg_y: 1.1544 loss: 6.0640 2022/08/25 23:46:49 - mmengine - INFO - Epoch(train) [67][70/125] lr: 9.6029e-04 eta: 1 day, 4:23:14 time: 0.5049 data_time: 0.0137 memory: 9483 loss_text: 0.9013 loss_center: 2.8323 loss_reg_x: 1.4454 loss_reg_y: 1.3975 loss: 6.5764 2022/08/25 23:46:51 - mmengine - INFO - Epoch(train) [67][75/125] lr: 9.6029e-04 eta: 1 day, 4:23:14 time: 0.4737 data_time: 0.0141 memory: 9483 loss_text: 0.9706 loss_center: 2.8408 loss_reg_x: 1.4978 loss_reg_y: 1.5167 loss: 6.8260 2022/08/25 23:46:54 - mmengine - INFO - Epoch(train) [67][80/125] lr: 9.6029e-04 eta: 1 day, 4:22:56 time: 0.5095 data_time: 0.0148 memory: 9483 loss_text: 0.9008 loss_center: 2.8129 loss_reg_x: 1.2569 loss_reg_y: 1.2041 loss: 6.1748 2022/08/25 23:46:58 - mmengine - INFO - Epoch(train) [67][85/125] lr: 9.6029e-04 eta: 1 day, 4:22:56 time: 0.6847 data_time: 0.0168 memory: 9483 loss_text: 0.8605 loss_center: 2.8073 loss_reg_x: 1.2927 loss_reg_y: 1.0515 loss: 6.0120 2022/08/25 23:47:01 - mmengine - INFO - Epoch(train) [67][90/125] lr: 9.6029e-04 eta: 1 day, 4:23:21 time: 0.7162 data_time: 0.0149 memory: 9483 loss_text: 0.8211 loss_center: 2.8098 loss_reg_x: 1.3612 loss_reg_y: 1.2068 loss: 6.1990 2022/08/25 23:47:04 - mmengine - INFO - Epoch(train) [67][95/125] lr: 9.6029e-04 eta: 1 day, 4:23:21 time: 0.5510 data_time: 0.0123 memory: 9483 loss_text: 0.7900 loss_center: 2.7488 loss_reg_x: 1.3465 loss_reg_y: 1.2219 loss: 6.1072 2022/08/25 23:47:07 - mmengine - INFO - Epoch(train) [67][100/125] lr: 9.6029e-04 eta: 1 day, 4:23:12 time: 0.5522 data_time: 0.0142 memory: 9483 loss_text: 0.7940 loss_center: 2.7303 loss_reg_x: 1.2608 loss_reg_y: 1.0990 loss: 5.8840 2022/08/25 23:47:09 - mmengine - INFO - Epoch(train) [67][105/125] lr: 9.6029e-04 eta: 1 day, 4:23:12 time: 0.5359 data_time: 0.0154 memory: 9483 loss_text: 0.8782 loss_center: 2.8087 loss_reg_x: 1.2395 loss_reg_y: 1.2251 loss: 6.1514 2022/08/25 23:47:12 - mmengine - INFO - Epoch(train) [67][110/125] lr: 9.6029e-04 eta: 1 day, 4:22:53 time: 0.5099 data_time: 0.0139 memory: 9483 loss_text: 0.9206 loss_center: 2.8253 loss_reg_x: 1.3982 loss_reg_y: 1.4114 loss: 6.5555 2022/08/25 23:47:14 - mmengine - INFO - Epoch(train) [67][115/125] lr: 9.6029e-04 eta: 1 day, 4:22:53 time: 0.5082 data_time: 0.0135 memory: 9483 loss_text: 0.8736 loss_center: 2.8146 loss_reg_x: 1.3590 loss_reg_y: 1.3269 loss: 6.3742 2022/08/25 23:47:17 - mmengine - INFO - Epoch(train) [67][120/125] lr: 9.6029e-04 eta: 1 day, 4:22:40 time: 0.5387 data_time: 0.0230 memory: 9483 loss_text: 0.8707 loss_center: 2.8166 loss_reg_x: 1.3890 loss_reg_y: 1.4022 loss: 6.4785 2022/08/25 23:47:20 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:47:20 - mmengine - INFO - Epoch(train) [67][125/125] lr: 9.6029e-04 eta: 1 day, 4:22:40 time: 0.5578 data_time: 0.0222 memory: 9483 loss_text: 0.9196 loss_center: 2.8197 loss_reg_x: 1.4659 loss_reg_y: 1.3976 loss: 6.6027 2022/08/25 23:47:23 - mmengine - INFO - Epoch(train) [68][5/125] lr: 9.5969e-04 eta: 1 day, 4:22:40 time: 0.5514 data_time: 0.0752 memory: 9483 loss_text: 0.9654 loss_center: 2.8350 loss_reg_x: 1.2995 loss_reg_y: 1.0928 loss: 6.1927 2022/08/25 23:47:25 - mmengine - INFO - Epoch(train) [68][10/125] lr: 9.5969e-04 eta: 1 day, 4:21:30 time: 0.5669 data_time: 0.0757 memory: 9483 loss_text: 0.8809 loss_center: 2.8191 loss_reg_x: 1.2675 loss_reg_y: 0.9784 loss: 5.9459 2022/08/25 23:47:28 - mmengine - INFO - Epoch(train) [68][15/125] lr: 9.5969e-04 eta: 1 day, 4:21:30 time: 0.5357 data_time: 0.0149 memory: 9483 loss_text: 0.9267 loss_center: 2.8158 loss_reg_x: 1.5452 loss_reg_y: 1.1209 loss: 6.4085 2022/08/25 23:47:30 - mmengine - INFO - Epoch(train) [68][20/125] lr: 9.5969e-04 eta: 1 day, 4:21:09 time: 0.4974 data_time: 0.0147 memory: 9483 loss_text: 0.9348 loss_center: 2.8310 loss_reg_x: 1.5510 loss_reg_y: 1.2160 loss: 6.5328 2022/08/25 23:47:33 - mmengine - INFO - Epoch(train) [68][25/125] lr: 9.5969e-04 eta: 1 day, 4:21:09 time: 0.4784 data_time: 0.0144 memory: 9483 loss_text: 0.7882 loss_center: 2.8012 loss_reg_x: 1.3425 loss_reg_y: 1.1353 loss: 6.0672 2022/08/25 23:47:35 - mmengine - INFO - Epoch(train) [68][30/125] lr: 9.5969e-04 eta: 1 day, 4:20:44 time: 0.4784 data_time: 0.0140 memory: 9483 loss_text: 0.8243 loss_center: 2.7498 loss_reg_x: 1.2218 loss_reg_y: 1.0410 loss: 5.8369 2022/08/25 23:47:38 - mmengine - INFO - Epoch(train) [68][35/125] lr: 9.5969e-04 eta: 1 day, 4:20:44 time: 0.4935 data_time: 0.0189 memory: 9483 loss_text: 0.8685 loss_center: 2.7604 loss_reg_x: 1.1918 loss_reg_y: 1.0058 loss: 5.8266 2022/08/25 23:47:40 - mmengine - INFO - Epoch(train) [68][40/125] lr: 9.5969e-04 eta: 1 day, 4:20:26 time: 0.5143 data_time: 0.0224 memory: 9483 loss_text: 0.9041 loss_center: 2.8068 loss_reg_x: 1.3374 loss_reg_y: 1.1710 loss: 6.2193 2022/08/25 23:47:43 - mmengine - INFO - Epoch(train) [68][45/125] lr: 9.5969e-04 eta: 1 day, 4:20:26 time: 0.5042 data_time: 0.0156 memory: 9483 loss_text: 0.8876 loss_center: 2.8128 loss_reg_x: 1.1626 loss_reg_y: 1.1167 loss: 5.9797 2022/08/25 23:47:45 - mmengine - INFO - Epoch(train) [68][50/125] lr: 9.5969e-04 eta: 1 day, 4:20:04 time: 0.4899 data_time: 0.0137 memory: 9483 loss_text: 0.8597 loss_center: 2.8237 loss_reg_x: 1.2201 loss_reg_y: 1.1489 loss: 6.0524 2022/08/25 23:47:48 - mmengine - INFO - Epoch(train) [68][55/125] lr: 9.5969e-04 eta: 1 day, 4:20:04 time: 0.5359 data_time: 0.0179 memory: 9483 loss_text: 0.8426 loss_center: 2.8260 loss_reg_x: 1.4471 loss_reg_y: 1.4111 loss: 6.5268 2022/08/25 23:47:51 - mmengine - INFO - Epoch(train) [68][60/125] lr: 9.5969e-04 eta: 1 day, 4:19:49 time: 0.5288 data_time: 0.0185 memory: 9483 loss_text: 0.8188 loss_center: 2.8386 loss_reg_x: 1.3732 loss_reg_y: 1.3938 loss: 6.4244 2022/08/25 23:47:53 - mmengine - INFO - Epoch(train) [68][65/125] lr: 9.5969e-04 eta: 1 day, 4:19:49 time: 0.4787 data_time: 0.0144 memory: 9483 loss_text: 0.9601 loss_center: 2.8281 loss_reg_x: 1.4748 loss_reg_y: 1.3963 loss: 6.6592 2022/08/25 23:47:57 - mmengine - INFO - Epoch(train) [68][70/125] lr: 9.5969e-04 eta: 1 day, 4:19:58 time: 0.6372 data_time: 0.0123 memory: 9483 loss_text: 1.0087 loss_center: 2.7684 loss_reg_x: 1.7325 loss_reg_y: 1.4124 loss: 6.9221 2022/08/25 23:48:00 - mmengine - INFO - Epoch(train) [68][75/125] lr: 9.5969e-04 eta: 1 day, 4:19:58 time: 0.6658 data_time: 0.0201 memory: 9483 loss_text: 0.8498 loss_center: 2.7731 loss_reg_x: 1.5890 loss_reg_y: 1.2744 loss: 6.4863 2022/08/25 23:48:02 - mmengine - INFO - Epoch(train) [68][80/125] lr: 9.5969e-04 eta: 1 day, 4:19:45 time: 0.5349 data_time: 0.0220 memory: 9483 loss_text: 0.9555 loss_center: 2.8384 loss_reg_x: 1.5220 loss_reg_y: 1.1755 loss: 6.4914 2022/08/25 23:48:05 - mmengine - INFO - Epoch(train) [68][85/125] lr: 9.5969e-04 eta: 1 day, 4:19:45 time: 0.5068 data_time: 0.0141 memory: 9483 loss_text: 0.9870 loss_center: 2.8518 loss_reg_x: 1.4777 loss_reg_y: 1.2288 loss: 6.5452 2022/08/25 23:48:08 - mmengine - INFO - Epoch(train) [68][90/125] lr: 9.5969e-04 eta: 1 day, 4:19:39 time: 0.5679 data_time: 0.0122 memory: 9483 loss_text: 0.8891 loss_center: 2.8216 loss_reg_x: 1.2672 loss_reg_y: 1.2379 loss: 6.2158 2022/08/25 23:48:11 - mmengine - INFO - Epoch(train) [68][95/125] lr: 9.5969e-04 eta: 1 day, 4:19:39 time: 0.5913 data_time: 0.0135 memory: 9483 loss_text: 0.9686 loss_center: 2.8189 loss_reg_x: 1.3556 loss_reg_y: 1.2011 loss: 6.3441 2022/08/25 23:48:13 - mmengine - INFO - Epoch(train) [68][100/125] lr: 9.5969e-04 eta: 1 day, 4:19:23 time: 0.5195 data_time: 0.0155 memory: 9483 loss_text: 0.9600 loss_center: 2.8340 loss_reg_x: 1.3787 loss_reg_y: 1.2763 loss: 6.4491 2022/08/25 23:48:18 - mmengine - INFO - Epoch(train) [68][105/125] lr: 9.5969e-04 eta: 1 day, 4:19:23 time: 0.7281 data_time: 0.0278 memory: 9483 loss_text: 0.8807 loss_center: 2.8283 loss_reg_x: 1.2417 loss_reg_y: 1.1572 loss: 6.1078 2022/08/25 23:48:21 - mmengine - INFO - Epoch(train) [68][110/125] lr: 9.5969e-04 eta: 1 day, 4:19:53 time: 0.7391 data_time: 0.0343 memory: 9483 loss_text: 0.9236 loss_center: 2.8214 loss_reg_x: 1.4048 loss_reg_y: 1.4505 loss: 6.6002 2022/08/25 23:48:23 - mmengine - INFO - Epoch(train) [68][115/125] lr: 9.5969e-04 eta: 1 day, 4:19:53 time: 0.5257 data_time: 0.0215 memory: 9483 loss_text: 0.9278 loss_center: 2.8277 loss_reg_x: 1.4167 loss_reg_y: 1.5416 loss: 6.7137 2022/08/25 23:48:26 - mmengine - INFO - Epoch(train) [68][120/125] lr: 9.5969e-04 eta: 1 day, 4:19:42 time: 0.5459 data_time: 0.0212 memory: 9483 loss_text: 0.7795 loss_center: 2.8182 loss_reg_x: 1.2917 loss_reg_y: 1.1844 loss: 6.0738 2022/08/25 23:48:29 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:48:29 - mmengine - INFO - Epoch(train) [68][125/125] lr: 9.5969e-04 eta: 1 day, 4:19:42 time: 0.5360 data_time: 0.0219 memory: 9483 loss_text: 0.8064 loss_center: 2.7964 loss_reg_x: 1.3373 loss_reg_y: 1.2116 loss: 6.1518 2022/08/25 23:48:32 - mmengine - INFO - Epoch(train) [69][5/125] lr: 9.5908e-04 eta: 1 day, 4:19:42 time: 0.5799 data_time: 0.0758 memory: 9483 loss_text: 0.8565 loss_center: 2.8044 loss_reg_x: 1.2683 loss_reg_y: 1.1952 loss: 6.1244 2022/08/25 23:48:34 - mmengine - INFO - Epoch(train) [69][10/125] lr: 9.5908e-04 eta: 1 day, 4:18:30 time: 0.5514 data_time: 0.0741 memory: 9483 loss_text: 0.8433 loss_center: 2.8244 loss_reg_x: 1.2690 loss_reg_y: 1.1613 loss: 6.0980 2022/08/25 23:48:40 - mmengine - INFO - Epoch(train) [69][15/125] lr: 9.5908e-04 eta: 1 day, 4:18:30 time: 0.7754 data_time: 0.0170 memory: 9483 loss_text: 0.7797 loss_center: 2.8097 loss_reg_x: 1.1226 loss_reg_y: 1.0904 loss: 5.8023 2022/08/25 23:48:42 - mmengine - INFO - Epoch(train) [69][20/125] lr: 9.5908e-04 eta: 1 day, 4:19:12 time: 0.7994 data_time: 0.0222 memory: 9483 loss_text: 0.6949 loss_center: 2.7907 loss_reg_x: 1.0364 loss_reg_y: 0.9625 loss: 5.4845 2022/08/25 23:48:45 - mmengine - INFO - Epoch(train) [69][25/125] lr: 9.5908e-04 eta: 1 day, 4:19:12 time: 0.5052 data_time: 0.0182 memory: 9483 loss_text: 0.7587 loss_center: 2.8075 loss_reg_x: 1.1193 loss_reg_y: 1.1003 loss: 5.7857 2022/08/25 23:48:47 - mmengine - INFO - Epoch(train) [69][30/125] lr: 9.5908e-04 eta: 1 day, 4:18:50 time: 0.4915 data_time: 0.0159 memory: 9483 loss_text: 0.8400 loss_center: 2.8299 loss_reg_x: 1.1248 loss_reg_y: 1.2321 loss: 6.0268 2022/08/25 23:48:50 - mmengine - INFO - Epoch(train) [69][35/125] lr: 9.5908e-04 eta: 1 day, 4:18:50 time: 0.4921 data_time: 0.0153 memory: 9483 loss_text: 0.8465 loss_center: 2.8195 loss_reg_x: 1.0871 loss_reg_y: 1.1795 loss: 5.9327 2022/08/25 23:48:52 - mmengine - INFO - Epoch(train) [69][40/125] lr: 9.5908e-04 eta: 1 day, 4:18:29 time: 0.4946 data_time: 0.0131 memory: 9483 loss_text: 0.8499 loss_center: 2.8022 loss_reg_x: 1.1481 loss_reg_y: 1.1569 loss: 5.9571 2022/08/25 23:48:55 - mmengine - INFO - Epoch(train) [69][45/125] lr: 9.5908e-04 eta: 1 day, 4:18:29 time: 0.4967 data_time: 0.0137 memory: 9483 loss_text: 0.8521 loss_center: 2.8176 loss_reg_x: 1.1758 loss_reg_y: 1.1806 loss: 6.0261 2022/08/25 23:49:01 - mmengine - INFO - Epoch(train) [69][50/125] lr: 9.5908e-04 eta: 1 day, 4:19:32 time: 0.9012 data_time: 0.0137 memory: 9483 loss_text: 0.7741 loss_center: 2.8078 loss_reg_x: 1.2782 loss_reg_y: 1.3094 loss: 6.1694 2022/08/25 23:49:04 - mmengine - INFO - Epoch(train) [69][55/125] lr: 9.5908e-04 eta: 1 day, 4:19:32 time: 0.9006 data_time: 0.0154 memory: 9483 loss_text: 0.7652 loss_center: 2.7922 loss_reg_x: 1.4135 loss_reg_y: 1.3677 loss: 6.3386 2022/08/25 23:49:06 - mmengine - INFO - Epoch(train) [69][60/125] lr: 9.5908e-04 eta: 1 day, 4:19:14 time: 0.5068 data_time: 0.0151 memory: 9483 loss_text: 0.8339 loss_center: 2.8052 loss_reg_x: 1.3190 loss_reg_y: 1.2983 loss: 6.2564 2022/08/25 23:49:09 - mmengine - INFO - Epoch(train) [69][65/125] lr: 9.5908e-04 eta: 1 day, 4:19:14 time: 0.5015 data_time: 0.0129 memory: 9483 loss_text: 0.8476 loss_center: 2.7940 loss_reg_x: 1.1879 loss_reg_y: 1.1889 loss: 6.0183 2022/08/25 23:49:11 - mmengine - INFO - Epoch(train) [69][70/125] lr: 9.5908e-04 eta: 1 day, 4:18:52 time: 0.4927 data_time: 0.0131 memory: 9483 loss_text: 0.9341 loss_center: 2.8128 loss_reg_x: 1.3517 loss_reg_y: 1.3310 loss: 6.4296 2022/08/25 23:49:13 - mmengine - INFO - Epoch(train) [69][75/125] lr: 9.5908e-04 eta: 1 day, 4:18:52 time: 0.4859 data_time: 0.0133 memory: 9483 loss_text: 0.9544 loss_center: 2.8245 loss_reg_x: 1.5171 loss_reg_y: 1.2915 loss: 6.5875 2022/08/25 23:49:18 - mmengine - INFO - Epoch(train) [69][80/125] lr: 9.5908e-04 eta: 1 day, 4:19:05 time: 0.6585 data_time: 0.0156 memory: 9483 loss_text: 0.8607 loss_center: 2.8087 loss_reg_x: 1.3594 loss_reg_y: 1.1262 loss: 6.1550 2022/08/25 23:49:20 - mmengine - INFO - Epoch(train) [69][85/125] lr: 9.5908e-04 eta: 1 day, 4:19:05 time: 0.6724 data_time: 0.0150 memory: 9483 loss_text: 0.7910 loss_center: 2.7476 loss_reg_x: 1.1152 loss_reg_y: 1.0751 loss: 5.7289 2022/08/25 23:49:22 - mmengine - INFO - Epoch(train) [69][90/125] lr: 9.5908e-04 eta: 1 day, 4:18:43 time: 0.4927 data_time: 0.0125 memory: 9483 loss_text: 0.8090 loss_center: 2.7505 loss_reg_x: 1.0821 loss_reg_y: 1.0441 loss: 5.6857 2022/08/25 23:49:25 - mmengine - INFO - Epoch(train) [69][95/125] lr: 9.5908e-04 eta: 1 day, 4:18:43 time: 0.5141 data_time: 0.0125 memory: 9483 loss_text: 0.8122 loss_center: 2.8126 loss_reg_x: 1.1375 loss_reg_y: 1.0628 loss: 5.8252 2022/08/25 23:49:28 - mmengine - INFO - Epoch(train) [69][100/125] lr: 9.5908e-04 eta: 1 day, 4:18:35 time: 0.5613 data_time: 0.0437 memory: 9483 loss_text: 0.9366 loss_center: 2.8202 loss_reg_x: 1.1802 loss_reg_y: 0.9816 loss: 5.9186 2022/08/25 23:49:31 - mmengine - INFO - Epoch(train) [69][105/125] lr: 9.5908e-04 eta: 1 day, 4:18:35 time: 0.5252 data_time: 0.0447 memory: 9483 loss_text: 1.0798 loss_center: 2.8330 loss_reg_x: 1.2985 loss_reg_y: 0.9889 loss: 6.2003 2022/08/25 23:49:33 - mmengine - INFO - Epoch(train) [69][110/125] lr: 9.5908e-04 eta: 1 day, 4:18:16 time: 0.5027 data_time: 0.0145 memory: 9483 loss_text: 0.9646 loss_center: 2.8234 loss_reg_x: 1.3055 loss_reg_y: 1.0831 loss: 6.1767 2022/08/25 23:49:37 - mmengine - INFO - Epoch(train) [69][115/125] lr: 9.5908e-04 eta: 1 day, 4:18:16 time: 0.6490 data_time: 0.0135 memory: 9483 loss_text: 0.8910 loss_center: 2.8287 loss_reg_x: 1.1638 loss_reg_y: 1.1504 loss: 6.0339 2022/08/25 23:49:40 - mmengine - INFO - Epoch(train) [69][120/125] lr: 9.5908e-04 eta: 1 day, 4:18:26 time: 0.6449 data_time: 0.0176 memory: 9483 loss_text: 0.8552 loss_center: 2.8272 loss_reg_x: 1.1064 loss_reg_y: 1.0893 loss: 5.8781 2022/08/25 23:49:42 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:49:42 - mmengine - INFO - Epoch(train) [69][125/125] lr: 9.5908e-04 eta: 1 day, 4:18:26 time: 0.5177 data_time: 0.0176 memory: 9483 loss_text: 0.9864 loss_center: 2.8169 loss_reg_x: 1.3362 loss_reg_y: 1.3170 loss: 6.4565 2022/08/25 23:49:46 - mmengine - INFO - Epoch(train) [70][5/125] lr: 9.5848e-04 eta: 1 day, 4:18:26 time: 0.6307 data_time: 0.1266 memory: 9483 loss_text: 1.0303 loss_center: 2.8161 loss_reg_x: 1.3320 loss_reg_y: 1.3621 loss: 6.5405 2022/08/25 23:49:48 - mmengine - INFO - Epoch(train) [70][10/125] lr: 9.5848e-04 eta: 1 day, 4:17:27 time: 0.6123 data_time: 0.1265 memory: 9483 loss_text: 0.9384 loss_center: 2.8062 loss_reg_x: 1.0615 loss_reg_y: 1.1589 loss: 5.9649 2022/08/25 23:49:51 - mmengine - INFO - Epoch(train) [70][15/125] lr: 9.5848e-04 eta: 1 day, 4:17:27 time: 0.4972 data_time: 0.0144 memory: 9483 loss_text: 0.9828 loss_center: 2.7989 loss_reg_x: 1.1829 loss_reg_y: 1.0335 loss: 5.9981 2022/08/25 23:49:54 - mmengine - INFO - Epoch(train) [70][20/125] lr: 9.5848e-04 eta: 1 day, 4:17:11 time: 0.5178 data_time: 0.0148 memory: 9483 loss_text: 0.9102 loss_center: 2.7908 loss_reg_x: 1.4700 loss_reg_y: 1.0354 loss: 6.2063 2022/08/25 23:50:00 - mmengine - INFO - Epoch(train) [70][25/125] lr: 9.5848e-04 eta: 1 day, 4:17:11 time: 0.8781 data_time: 0.0131 memory: 9483 loss_text: 0.9055 loss_center: 2.8269 loss_reg_x: 1.3942 loss_reg_y: 1.3392 loss: 6.4658 2022/08/25 23:50:02 - mmengine - INFO - Epoch(train) [70][30/125] lr: 9.5848e-04 eta: 1 day, 4:18:08 time: 0.8728 data_time: 0.0154 memory: 9483 loss_text: 0.9487 loss_center: 2.8504 loss_reg_x: 1.1667 loss_reg_y: 1.2839 loss: 6.2497 2022/08/25 23:50:05 - mmengine - INFO - Epoch(train) [70][35/125] lr: 9.5848e-04 eta: 1 day, 4:18:08 time: 0.5326 data_time: 0.0163 memory: 9483 loss_text: 0.8830 loss_center: 2.8178 loss_reg_x: 1.3313 loss_reg_y: 1.2559 loss: 6.2881 2022/08/25 23:50:08 - mmengine - INFO - Epoch(train) [70][40/125] lr: 9.5848e-04 eta: 1 day, 4:17:56 time: 0.5393 data_time: 0.0150 memory: 9483 loss_text: 0.7944 loss_center: 2.8094 loss_reg_x: 1.5354 loss_reg_y: 1.5172 loss: 6.6564 2022/08/25 23:50:10 - mmengine - INFO - Epoch(train) [70][45/125] lr: 9.5848e-04 eta: 1 day, 4:17:56 time: 0.5372 data_time: 0.0138 memory: 9483 loss_text: 0.7656 loss_center: 2.8204 loss_reg_x: 1.4381 loss_reg_y: 1.4937 loss: 6.5178 2022/08/25 23:50:13 - mmengine - INFO - Epoch(train) [70][50/125] lr: 9.5848e-04 eta: 1 day, 4:17:37 time: 0.5076 data_time: 0.0165 memory: 9483 loss_text: 0.8624 loss_center: 2.8313 loss_reg_x: 1.2665 loss_reg_y: 1.1518 loss: 6.1120 2022/08/25 23:50:18 - mmengine - INFO - Epoch(train) [70][55/125] lr: 9.5848e-04 eta: 1 day, 4:17:37 time: 0.7931 data_time: 0.0172 memory: 9483 loss_text: 0.9171 loss_center: 2.8199 loss_reg_x: 1.2466 loss_reg_y: 1.0121 loss: 5.9956 2022/08/25 23:50:21 - mmengine - INFO - Epoch(train) [70][60/125] lr: 9.5848e-04 eta: 1 day, 4:18:18 time: 0.7975 data_time: 0.0142 memory: 9483 loss_text: 0.9055 loss_center: 2.7990 loss_reg_x: 1.4949 loss_reg_y: 1.1648 loss: 6.3641 2022/08/25 23:50:23 - mmengine - INFO - Epoch(train) [70][65/125] lr: 9.5848e-04 eta: 1 day, 4:18:18 time: 0.4928 data_time: 0.0158 memory: 9483 loss_text: 0.8587 loss_center: 2.7951 loss_reg_x: 1.3892 loss_reg_y: 1.2368 loss: 6.2797 2022/08/25 23:50:26 - mmengine - INFO - Epoch(train) [70][70/125] lr: 9.5848e-04 eta: 1 day, 4:18:06 time: 0.5349 data_time: 0.0146 memory: 9483 loss_text: 0.9065 loss_center: 2.8225 loss_reg_x: 1.0179 loss_reg_y: 1.0949 loss: 5.8417 2022/08/25 23:50:29 - mmengine - INFO - Epoch(train) [70][75/125] lr: 9.5848e-04 eta: 1 day, 4:18:06 time: 0.5262 data_time: 0.0124 memory: 9483 loss_text: 0.9725 loss_center: 2.8347 loss_reg_x: 1.1842 loss_reg_y: 1.2161 loss: 6.2075 2022/08/25 23:50:31 - mmengine - INFO - Epoch(train) [70][80/125] lr: 9.5848e-04 eta: 1 day, 4:17:39 time: 0.4697 data_time: 0.0136 memory: 9483 loss_text: 0.9723 loss_center: 2.8455 loss_reg_x: 1.7381 loss_reg_y: 1.7332 loss: 7.2891 2022/08/25 23:50:33 - mmengine - INFO - Epoch(train) [70][85/125] lr: 9.5848e-04 eta: 1 day, 4:17:39 time: 0.4635 data_time: 0.0153 memory: 9483 loss_text: 1.0309 loss_center: 2.8563 loss_reg_x: 2.0064 loss_reg_y: 1.9011 loss: 7.7947 2022/08/25 23:50:36 - mmengine - INFO - Epoch(train) [70][90/125] lr: 9.5848e-04 eta: 1 day, 4:17:19 time: 0.4998 data_time: 0.0147 memory: 9483 loss_text: 1.0128 loss_center: 2.7737 loss_reg_x: 1.8356 loss_reg_y: 1.5870 loss: 7.2091 2022/08/25 23:50:40 - mmengine - INFO - Epoch(train) [70][95/125] lr: 9.5848e-04 eta: 1 day, 4:17:19 time: 0.7217 data_time: 0.0444 memory: 9483 loss_text: 0.9426 loss_center: 2.7755 loss_reg_x: 1.4954 loss_reg_y: 1.5010 loss: 6.7145 2022/08/25 23:50:43 - mmengine - INFO - Epoch(train) [70][100/125] lr: 9.5848e-04 eta: 1 day, 4:17:44 time: 0.7181 data_time: 0.0438 memory: 9483 loss_text: 0.8924 loss_center: 2.8426 loss_reg_x: 1.5372 loss_reg_y: 1.5206 loss: 6.7928 2022/08/25 23:50:45 - mmengine - INFO - Epoch(train) [70][105/125] lr: 9.5848e-04 eta: 1 day, 4:17:44 time: 0.5031 data_time: 0.0144 memory: 9483 loss_text: 0.8710 loss_center: 2.8284 loss_reg_x: 1.4902 loss_reg_y: 1.2631 loss: 6.4526 2022/08/25 23:50:49 - mmengine - INFO - Epoch(train) [70][110/125] lr: 9.5848e-04 eta: 1 day, 4:17:49 time: 0.6221 data_time: 0.0207 memory: 9483 loss_text: 0.8743 loss_center: 2.8263 loss_reg_x: 1.2663 loss_reg_y: 1.2905 loss: 6.2574 2022/08/25 23:50:52 - mmengine - INFO - Epoch(train) [70][115/125] lr: 9.5848e-04 eta: 1 day, 4:17:49 time: 0.6240 data_time: 0.0191 memory: 9483 loss_text: 0.8168 loss_center: 2.8282 loss_reg_x: 1.2518 loss_reg_y: 1.4093 loss: 6.3060 2022/08/25 23:50:54 - mmengine - INFO - Epoch(train) [70][120/125] lr: 9.5848e-04 eta: 1 day, 4:17:27 time: 0.4898 data_time: 0.0142 memory: 9483 loss_text: 0.7726 loss_center: 2.7861 loss_reg_x: 1.2818 loss_reg_y: 1.2327 loss: 6.0732 2022/08/25 23:50:58 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:50:58 - mmengine - INFO - Epoch(train) [70][125/125] lr: 9.5848e-04 eta: 1 day, 4:17:27 time: 0.6605 data_time: 0.0358 memory: 9483 loss_text: 0.8298 loss_center: 2.7832 loss_reg_x: 1.3623 loss_reg_y: 1.3784 loss: 6.3538 2022/08/25 23:51:02 - mmengine - INFO - Epoch(train) [71][5/125] lr: 9.5788e-04 eta: 1 day, 4:17:27 time: 0.7676 data_time: 0.1166 memory: 9483 loss_text: 0.8698 loss_center: 2.8165 loss_reg_x: 1.1896 loss_reg_y: 1.3004 loss: 6.1763 2022/08/25 23:51:04 - mmengine - INFO - Epoch(train) [71][10/125] lr: 9.5788e-04 eta: 1 day, 4:16:22 time: 0.5781 data_time: 0.0934 memory: 9483 loss_text: 0.9511 loss_center: 2.8435 loss_reg_x: 1.1999 loss_reg_y: 1.1507 loss: 6.1452 2022/08/25 23:51:07 - mmengine - INFO - Epoch(train) [71][15/125] lr: 9.5788e-04 eta: 1 day, 4:16:22 time: 0.4717 data_time: 0.0114 memory: 9483 loss_text: 0.9941 loss_center: 2.8432 loss_reg_x: 1.2425 loss_reg_y: 1.2699 loss: 6.3497 2022/08/25 23:51:09 - mmengine - INFO - Epoch(train) [71][20/125] lr: 9.5788e-04 eta: 1 day, 4:16:00 time: 0.4870 data_time: 0.0153 memory: 9483 loss_text: 0.8629 loss_center: 2.8098 loss_reg_x: 1.1702 loss_reg_y: 1.1683 loss: 6.0112 2022/08/25 23:51:11 - mmengine - INFO - Epoch(train) [71][25/125] lr: 9.5788e-04 eta: 1 day, 4:16:00 time: 0.4878 data_time: 0.0177 memory: 9483 loss_text: 0.8014 loss_center: 2.8170 loss_reg_x: 1.2541 loss_reg_y: 1.3704 loss: 6.2428 2022/08/25 23:51:14 - mmengine - INFO - Epoch(train) [71][30/125] lr: 9.5788e-04 eta: 1 day, 4:15:42 time: 0.5131 data_time: 0.0158 memory: 9483 loss_text: 0.8369 loss_center: 2.8206 loss_reg_x: 1.2571 loss_reg_y: 1.4595 loss: 6.3740 2022/08/25 23:51:17 - mmengine - INFO - Epoch(train) [71][35/125] lr: 9.5788e-04 eta: 1 day, 4:15:42 time: 0.5634 data_time: 0.0292 memory: 9483 loss_text: 0.8723 loss_center: 2.8069 loss_reg_x: 1.2748 loss_reg_y: 1.2801 loss: 6.2341 2022/08/25 23:51:20 - mmengine - INFO - Epoch(train) [71][40/125] lr: 9.5788e-04 eta: 1 day, 4:15:33 time: 0.5530 data_time: 0.0306 memory: 9483 loss_text: 0.8775 loss_center: 2.8137 loss_reg_x: 1.2103 loss_reg_y: 1.1660 loss: 6.0675 2022/08/25 23:51:22 - mmengine - INFO - Epoch(train) [71][45/125] lr: 9.5788e-04 eta: 1 day, 4:15:33 time: 0.5227 data_time: 0.0182 memory: 9483 loss_text: 0.8490 loss_center: 2.7958 loss_reg_x: 1.0699 loss_reg_y: 1.1173 loss: 5.8319 2022/08/25 23:51:25 - mmengine - INFO - Epoch(train) [71][50/125] lr: 9.5788e-04 eta: 1 day, 4:15:20 time: 0.5291 data_time: 0.0159 memory: 9483 loss_text: 0.8648 loss_center: 2.7848 loss_reg_x: 1.0243 loss_reg_y: 1.1286 loss: 5.8025 2022/08/25 23:51:29 - mmengine - INFO - Epoch(train) [71][55/125] lr: 9.5788e-04 eta: 1 day, 4:15:20 time: 0.6684 data_time: 0.0147 memory: 9483 loss_text: 0.9157 loss_center: 2.8063 loss_reg_x: 1.0449 loss_reg_y: 1.0455 loss: 5.8124 2022/08/25 23:51:32 - mmengine - INFO - Epoch(train) [71][60/125] lr: 9.5788e-04 eta: 1 day, 4:15:32 time: 0.6599 data_time: 0.0174 memory: 9483 loss_text: 0.9148 loss_center: 2.8142 loss_reg_x: 1.3026 loss_reg_y: 1.1165 loss: 6.1480 2022/08/25 23:51:34 - mmengine - INFO - Epoch(train) [71][65/125] lr: 9.5788e-04 eta: 1 day, 4:15:32 time: 0.5001 data_time: 0.0158 memory: 9483 loss_text: 0.8669 loss_center: 2.8181 loss_reg_x: 1.5691 loss_reg_y: 1.4095 loss: 6.6637 2022/08/25 23:51:37 - mmengine - INFO - Epoch(train) [71][70/125] lr: 9.5788e-04 eta: 1 day, 4:15:23 time: 0.5523 data_time: 0.0128 memory: 9483 loss_text: 0.9269 loss_center: 2.8047 loss_reg_x: 1.2936 loss_reg_y: 1.3739 loss: 6.3990 2022/08/25 23:51:40 - mmengine - INFO - Epoch(train) [71][75/125] lr: 9.5788e-04 eta: 1 day, 4:15:23 time: 0.5662 data_time: 0.0179 memory: 9483 loss_text: 0.9083 loss_center: 2.7974 loss_reg_x: 1.1769 loss_reg_y: 1.2844 loss: 6.1670 2022/08/25 23:51:42 - mmengine - INFO - Epoch(train) [71][80/125] lr: 9.5788e-04 eta: 1 day, 4:15:08 time: 0.5250 data_time: 0.0209 memory: 9483 loss_text: 0.7768 loss_center: 2.7854 loss_reg_x: 1.2467 loss_reg_y: 1.2409 loss: 6.0497 2022/08/25 23:51:45 - mmengine - INFO - Epoch(train) [71][85/125] lr: 9.5788e-04 eta: 1 day, 4:15:08 time: 0.4979 data_time: 0.0152 memory: 9483 loss_text: 0.8233 loss_center: 2.7872 loss_reg_x: 1.2209 loss_reg_y: 1.1330 loss: 5.9645 2022/08/25 23:51:48 - mmengine - INFO - Epoch(train) [71][90/125] lr: 9.5788e-04 eta: 1 day, 4:15:01 time: 0.5592 data_time: 0.0212 memory: 9483 loss_text: 0.8782 loss_center: 2.8183 loss_reg_x: 1.1967 loss_reg_y: 1.1480 loss: 6.0412 2022/08/25 23:51:50 - mmengine - INFO - Epoch(train) [71][95/125] lr: 9.5788e-04 eta: 1 day, 4:15:01 time: 0.5614 data_time: 0.0232 memory: 9483 loss_text: 0.9118 loss_center: 2.8233 loss_reg_x: 1.1443 loss_reg_y: 1.0956 loss: 5.9750 2022/08/25 23:51:53 - mmengine - INFO - Epoch(train) [71][100/125] lr: 9.5788e-04 eta: 1 day, 4:14:36 time: 0.4761 data_time: 0.0170 memory: 9483 loss_text: 1.0044 loss_center: 2.8292 loss_reg_x: 1.3802 loss_reg_y: 1.2271 loss: 6.4408 2022/08/25 23:51:55 - mmengine - INFO - Epoch(train) [71][105/125] lr: 9.5788e-04 eta: 1 day, 4:14:36 time: 0.4808 data_time: 0.0162 memory: 9483 loss_text: 1.0086 loss_center: 2.8342 loss_reg_x: 1.6052 loss_reg_y: 1.3842 loss: 6.8322 2022/08/25 23:51:59 - mmengine - INFO - Epoch(train) [71][110/125] lr: 9.5788e-04 eta: 1 day, 4:14:52 time: 0.6768 data_time: 0.0317 memory: 9483 loss_text: 0.9691 loss_center: 2.8233 loss_reg_x: 1.6922 loss_reg_y: 1.2370 loss: 6.7217 2022/08/25 23:52:02 - mmengine - INFO - Epoch(train) [71][115/125] lr: 9.5788e-04 eta: 1 day, 4:14:52 time: 0.7036 data_time: 0.0308 memory: 9483 loss_text: 0.9322 loss_center: 2.8329 loss_reg_x: 1.6289 loss_reg_y: 1.1472 loss: 6.5413 2022/08/25 23:52:05 - mmengine - INFO - Epoch(train) [71][120/125] lr: 9.5788e-04 eta: 1 day, 4:14:38 time: 0.5289 data_time: 0.0146 memory: 9483 loss_text: 0.8717 loss_center: 2.8300 loss_reg_x: 1.4213 loss_reg_y: 1.2083 loss: 6.3312 2022/08/25 23:52:08 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:52:08 - mmengine - INFO - Epoch(train) [71][125/125] lr: 9.5788e-04 eta: 1 day, 4:14:38 time: 0.5669 data_time: 0.0228 memory: 9483 loss_text: 0.8481 loss_center: 2.8173 loss_reg_x: 1.4003 loss_reg_y: 1.2640 loss: 6.3297 2022/08/25 23:52:11 - mmengine - INFO - Epoch(train) [72][5/125] lr: 9.5727e-04 eta: 1 day, 4:14:38 time: 0.6382 data_time: 0.0917 memory: 9483 loss_text: 0.8594 loss_center: 2.8276 loss_reg_x: 1.3341 loss_reg_y: 1.2022 loss: 6.2233 2022/08/25 23:52:14 - mmengine - INFO - Epoch(train) [72][10/125] lr: 9.5727e-04 eta: 1 day, 4:13:36 time: 0.5865 data_time: 0.0825 memory: 9483 loss_text: 0.9325 loss_center: 2.8185 loss_reg_x: 1.3389 loss_reg_y: 1.2302 loss: 6.3200 2022/08/25 23:52:17 - mmengine - INFO - Epoch(train) [72][15/125] lr: 9.5727e-04 eta: 1 day, 4:13:36 time: 0.5774 data_time: 0.0192 memory: 9483 loss_text: 0.9742 loss_center: 2.8107 loss_reg_x: 1.5861 loss_reg_y: 1.3496 loss: 6.7206 2022/08/25 23:52:20 - mmengine - INFO - Epoch(train) [72][20/125] lr: 9.5727e-04 eta: 1 day, 4:13:35 time: 0.5895 data_time: 0.0203 memory: 9483 loss_text: 0.9591 loss_center: 2.8310 loss_reg_x: 1.5469 loss_reg_y: 1.3397 loss: 6.6767 2022/08/25 23:52:22 - mmengine - INFO - Epoch(train) [72][25/125] lr: 9.5727e-04 eta: 1 day, 4:13:35 time: 0.5176 data_time: 0.0125 memory: 9483 loss_text: 0.9917 loss_center: 2.8223 loss_reg_x: 1.5174 loss_reg_y: 1.3526 loss: 6.6840 2022/08/25 23:52:25 - mmengine - INFO - Epoch(train) [72][30/125] lr: 9.5727e-04 eta: 1 day, 4:13:16 time: 0.5066 data_time: 0.0132 memory: 9483 loss_text: 0.9397 loss_center: 2.8077 loss_reg_x: 1.5967 loss_reg_y: 1.2743 loss: 6.6183 2022/08/25 23:52:30 - mmengine - INFO - Epoch(train) [72][35/125] lr: 9.5727e-04 eta: 1 day, 4:13:16 time: 0.7997 data_time: 0.0473 memory: 9483 loss_text: 0.9050 loss_center: 2.8173 loss_reg_x: 1.4973 loss_reg_y: 1.2636 loss: 6.4832 2022/08/25 23:52:32 - mmengine - INFO - Epoch(train) [72][40/125] lr: 9.5727e-04 eta: 1 day, 4:13:54 time: 0.7836 data_time: 0.0462 memory: 9483 loss_text: 0.8901 loss_center: 2.8305 loss_reg_x: 1.2759 loss_reg_y: 1.2082 loss: 6.2047 2022/08/25 23:52:35 - mmengine - INFO - Epoch(train) [72][45/125] lr: 9.5727e-04 eta: 1 day, 4:13:54 time: 0.4990 data_time: 0.0121 memory: 9483 loss_text: 0.8761 loss_center: 2.8109 loss_reg_x: 1.1756 loss_reg_y: 1.0650 loss: 5.9276 2022/08/25 23:52:38 - mmengine - INFO - Epoch(train) [72][50/125] lr: 9.5727e-04 eta: 1 day, 4:13:49 time: 0.5759 data_time: 0.0188 memory: 9483 loss_text: 0.9004 loss_center: 2.7997 loss_reg_x: 1.2056 loss_reg_y: 1.2154 loss: 6.1210 2022/08/25 23:52:41 - mmengine - INFO - Epoch(train) [72][55/125] lr: 9.5727e-04 eta: 1 day, 4:13:49 time: 0.5586 data_time: 0.0189 memory: 9483 loss_text: 0.9001 loss_center: 2.8125 loss_reg_x: 1.2332 loss_reg_y: 1.2313 loss: 6.1771 2022/08/25 23:52:43 - mmengine - INFO - Epoch(train) [72][60/125] lr: 9.5727e-04 eta: 1 day, 4:13:25 time: 0.4775 data_time: 0.0139 memory: 9483 loss_text: 0.9140 loss_center: 2.8142 loss_reg_x: 1.2122 loss_reg_y: 1.1780 loss: 6.1184 2022/08/25 23:52:45 - mmengine - INFO - Epoch(train) [72][65/125] lr: 9.5727e-04 eta: 1 day, 4:13:25 time: 0.4721 data_time: 0.0141 memory: 9483 loss_text: 0.8682 loss_center: 2.8386 loss_reg_x: 1.2021 loss_reg_y: 1.2936 loss: 6.2025 2022/08/25 23:52:49 - mmengine - INFO - Epoch(train) [72][70/125] lr: 9.5727e-04 eta: 1 day, 4:13:28 time: 0.6116 data_time: 0.0174 memory: 9483 loss_text: 0.7896 loss_center: 2.8268 loss_reg_x: 1.1470 loss_reg_y: 1.1940 loss: 5.9574 2022/08/25 23:52:52 - mmengine - INFO - Epoch(train) [72][75/125] lr: 9.5727e-04 eta: 1 day, 4:13:28 time: 0.6312 data_time: 0.0178 memory: 9483 loss_text: 0.7661 loss_center: 2.8036 loss_reg_x: 1.1875 loss_reg_y: 1.0943 loss: 5.8514 2022/08/25 23:52:54 - mmengine - INFO - Epoch(train) [72][80/125] lr: 9.5727e-04 eta: 1 day, 4:13:12 time: 0.5182 data_time: 0.0128 memory: 9483 loss_text: 0.8306 loss_center: 2.8050 loss_reg_x: 1.3709 loss_reg_y: 1.1588 loss: 6.1654 2022/08/25 23:52:57 - mmengine - INFO - Epoch(train) [72][85/125] lr: 9.5727e-04 eta: 1 day, 4:13:12 time: 0.5728 data_time: 0.0180 memory: 9483 loss_text: 0.9453 loss_center: 2.8072 loss_reg_x: 1.3728 loss_reg_y: 1.2440 loss: 6.3693 2022/08/25 23:53:00 - mmengine - INFO - Epoch(train) [72][90/125] lr: 9.5727e-04 eta: 1 day, 4:13:06 time: 0.5680 data_time: 0.0231 memory: 9483 loss_text: 0.8959 loss_center: 2.7972 loss_reg_x: 1.1917 loss_reg_y: 1.1376 loss: 6.0223 2022/08/25 23:53:02 - mmengine - INFO - Epoch(train) [72][95/125] lr: 9.5727e-04 eta: 1 day, 4:13:06 time: 0.4893 data_time: 0.0177 memory: 9483 loss_text: 0.7984 loss_center: 2.8068 loss_reg_x: 1.0755 loss_reg_y: 1.0262 loss: 5.7069 2022/08/25 23:53:05 - mmengine - INFO - Epoch(train) [72][100/125] lr: 9.5727e-04 eta: 1 day, 4:12:45 time: 0.4905 data_time: 0.0127 memory: 9483 loss_text: 0.8248 loss_center: 2.8191 loss_reg_x: 1.0884 loss_reg_y: 1.1138 loss: 5.8461 2022/08/25 23:53:09 - mmengine - INFO - Epoch(train) [72][105/125] lr: 9.5727e-04 eta: 1 day, 4:12:45 time: 0.6957 data_time: 0.0270 memory: 9483 loss_text: 0.7855 loss_center: 2.7986 loss_reg_x: 1.1708 loss_reg_y: 1.2235 loss: 5.9784 2022/08/25 23:53:12 - mmengine - INFO - Epoch(train) [72][110/125] lr: 9.5727e-04 eta: 1 day, 4:13:01 time: 0.6765 data_time: 0.0290 memory: 9483 loss_text: 0.8247 loss_center: 2.8168 loss_reg_x: 1.4427 loss_reg_y: 1.4920 loss: 6.5762 2022/08/25 23:53:14 - mmengine - INFO - Epoch(train) [72][115/125] lr: 9.5727e-04 eta: 1 day, 4:13:01 time: 0.4649 data_time: 0.0149 memory: 9483 loss_text: 0.9395 loss_center: 2.8388 loss_reg_x: 1.5843 loss_reg_y: 1.5011 loss: 6.8636 2022/08/25 23:53:17 - mmengine - INFO - Epoch(train) [72][120/125] lr: 9.5727e-04 eta: 1 day, 4:12:40 time: 0.4918 data_time: 0.0185 memory: 9483 loss_text: 0.9539 loss_center: 2.8288 loss_reg_x: 1.4047 loss_reg_y: 1.2314 loss: 6.4189 2022/08/25 23:53:19 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:53:19 - mmengine - INFO - Epoch(train) [72][125/125] lr: 9.5727e-04 eta: 1 day, 4:12:40 time: 0.5482 data_time: 0.0202 memory: 9483 loss_text: 0.9793 loss_center: 2.8208 loss_reg_x: 1.3783 loss_reg_y: 1.3766 loss: 6.5551 2022/08/25 23:53:23 - mmengine - INFO - Epoch(train) [73][5/125] lr: 9.5667e-04 eta: 1 day, 4:12:40 time: 0.6196 data_time: 0.0988 memory: 9483 loss_text: 0.9126 loss_center: 2.8070 loss_reg_x: 1.3974 loss_reg_y: 1.3897 loss: 6.5067 2022/08/25 23:53:25 - mmengine - INFO - Epoch(train) [73][10/125] lr: 9.5667e-04 eta: 1 day, 4:11:37 time: 0.5814 data_time: 0.0958 memory: 9483 loss_text: 0.9000 loss_center: 2.7977 loss_reg_x: 1.3240 loss_reg_y: 1.1786 loss: 6.2004 2022/08/25 23:53:30 - mmengine - INFO - Epoch(train) [73][15/125] lr: 9.5667e-04 eta: 1 day, 4:11:37 time: 0.7077 data_time: 0.0230 memory: 9483 loss_text: 0.9848 loss_center: 2.8107 loss_reg_x: 1.2204 loss_reg_y: 1.1273 loss: 6.1433 2022/08/25 23:53:32 - mmengine - INFO - Epoch(train) [73][20/125] lr: 9.5667e-04 eta: 1 day, 4:11:59 time: 0.7067 data_time: 0.0283 memory: 9483 loss_text: 0.9967 loss_center: 2.8064 loss_reg_x: 1.2824 loss_reg_y: 1.1346 loss: 6.2201 2022/08/25 23:53:35 - mmengine - INFO - Epoch(train) [73][25/125] lr: 9.5667e-04 eta: 1 day, 4:11:59 time: 0.5063 data_time: 0.0171 memory: 9483 loss_text: 0.9971 loss_center: 2.8134 loss_reg_x: 1.3536 loss_reg_y: 1.2509 loss: 6.4150 2022/08/25 23:53:37 - mmengine - INFO - Epoch(train) [73][30/125] lr: 9.5667e-04 eta: 1 day, 4:11:39 time: 0.4953 data_time: 0.0127 memory: 9483 loss_text: 0.8907 loss_center: 2.8269 loss_reg_x: 1.2162 loss_reg_y: 1.1463 loss: 6.0800 2022/08/25 23:53:40 - mmengine - INFO - Epoch(train) [73][35/125] lr: 9.5667e-04 eta: 1 day, 4:11:39 time: 0.4922 data_time: 0.0126 memory: 9483 loss_text: 0.8367 loss_center: 2.8342 loss_reg_x: 1.2971 loss_reg_y: 1.1526 loss: 6.1206 2022/08/25 23:53:42 - mmengine - INFO - Epoch(train) [73][40/125] lr: 9.5667e-04 eta: 1 day, 4:11:18 time: 0.4896 data_time: 0.0154 memory: 9483 loss_text: 0.9583 loss_center: 2.8104 loss_reg_x: 1.2310 loss_reg_y: 1.2723 loss: 6.2720 2022/08/25 23:53:45 - mmengine - INFO - Epoch(train) [73][45/125] lr: 9.5667e-04 eta: 1 day, 4:11:18 time: 0.4850 data_time: 0.0203 memory: 9483 loss_text: 0.9991 loss_center: 2.7926 loss_reg_x: 1.3324 loss_reg_y: 1.2891 loss: 6.4131 2022/08/25 23:53:49 - mmengine - INFO - Epoch(train) [73][50/125] lr: 9.5667e-04 eta: 1 day, 4:11:36 time: 0.6934 data_time: 0.0178 memory: 9483 loss_text: 0.8853 loss_center: 2.7922 loss_reg_x: 1.4739 loss_reg_y: 1.3224 loss: 6.4739 2022/08/25 23:53:52 - mmengine - INFO - Epoch(train) [73][55/125] lr: 9.5667e-04 eta: 1 day, 4:11:36 time: 0.6889 data_time: 0.0143 memory: 9483 loss_text: 0.8143 loss_center: 2.7957 loss_reg_x: 1.4477 loss_reg_y: 1.3068 loss: 6.3646 2022/08/25 23:53:54 - mmengine - INFO - Epoch(train) [73][60/125] lr: 9.5667e-04 eta: 1 day, 4:11:20 time: 0.5115 data_time: 0.0151 memory: 9483 loss_text: 0.8122 loss_center: 2.8110 loss_reg_x: 1.5023 loss_reg_y: 1.2598 loss: 6.3853 2022/08/25 23:53:57 - mmengine - INFO - Epoch(train) [73][65/125] lr: 9.5667e-04 eta: 1 day, 4:11:20 time: 0.5114 data_time: 0.0170 memory: 9483 loss_text: 0.8207 loss_center: 2.7944 loss_reg_x: 1.3542 loss_reg_y: 1.1910 loss: 6.1603 2022/08/25 23:53:59 - mmengine - INFO - Epoch(train) [73][70/125] lr: 9.5667e-04 eta: 1 day, 4:11:01 time: 0.5037 data_time: 0.0154 memory: 9483 loss_text: 0.8835 loss_center: 2.7947 loss_reg_x: 1.3999 loss_reg_y: 1.2274 loss: 6.3056 2022/08/25 23:54:02 - mmengine - INFO - Epoch(train) [73][75/125] lr: 9.5667e-04 eta: 1 day, 4:11:01 time: 0.5065 data_time: 0.0122 memory: 9483 loss_text: 0.9084 loss_center: 2.7600 loss_reg_x: 1.5058 loss_reg_y: 1.2559 loss: 6.4301 2022/08/25 23:54:04 - mmengine - INFO - Epoch(train) [73][80/125] lr: 9.5667e-04 eta: 1 day, 4:10:42 time: 0.5015 data_time: 0.0163 memory: 9483 loss_text: 0.8742 loss_center: 2.7688 loss_reg_x: 1.3505 loss_reg_y: 1.2456 loss: 6.2391 2022/08/25 23:54:10 - mmengine - INFO - Epoch(train) [73][85/125] lr: 9.5667e-04 eta: 1 day, 4:10:42 time: 0.8593 data_time: 0.0268 memory: 9483 loss_text: 0.8712 loss_center: 2.8139 loss_reg_x: 1.2891 loss_reg_y: 1.4313 loss: 6.4056 2022/08/25 23:54:13 - mmengine - INFO - Epoch(train) [73][90/125] lr: 9.5667e-04 eta: 1 day, 4:11:31 time: 0.8471 data_time: 0.0271 memory: 9483 loss_text: 0.9319 loss_center: 2.8161 loss_reg_x: 1.3325 loss_reg_y: 1.5817 loss: 6.6622 2022/08/25 23:54:15 - mmengine - INFO - Epoch(train) [73][95/125] lr: 9.5667e-04 eta: 1 day, 4:11:31 time: 0.4889 data_time: 0.0182 memory: 9483 loss_text: 0.9680 loss_center: 2.8367 loss_reg_x: 1.4453 loss_reg_y: 1.5689 loss: 6.8189 2022/08/25 23:54:18 - mmengine - INFO - Epoch(train) [73][100/125] lr: 9.5667e-04 eta: 1 day, 4:11:12 time: 0.5015 data_time: 0.0181 memory: 9483 loss_text: 0.8619 loss_center: 2.8387 loss_reg_x: 1.4428 loss_reg_y: 1.4981 loss: 6.6414 2022/08/25 23:54:20 - mmengine - INFO - Epoch(train) [73][105/125] lr: 9.5667e-04 eta: 1 day, 4:11:12 time: 0.5029 data_time: 0.0164 memory: 9483 loss_text: 0.8267 loss_center: 2.8288 loss_reg_x: 1.3428 loss_reg_y: 1.5305 loss: 6.5288 2022/08/25 23:54:23 - mmengine - INFO - Epoch(train) [73][110/125] lr: 9.5667e-04 eta: 1 day, 4:10:52 time: 0.4966 data_time: 0.0121 memory: 9483 loss_text: 0.8900 loss_center: 2.8147 loss_reg_x: 1.3706 loss_reg_y: 1.3907 loss: 6.4660 2022/08/25 23:54:25 - mmengine - INFO - Epoch(train) [73][115/125] lr: 9.5667e-04 eta: 1 day, 4:10:52 time: 0.4984 data_time: 0.0124 memory: 9483 loss_text: 0.8895 loss_center: 2.8163 loss_reg_x: 1.2369 loss_reg_y: 1.2648 loss: 6.2075 2022/08/25 23:54:32 - mmengine - INFO - Epoch(train) [73][120/125] lr: 9.5667e-04 eta: 1 day, 4:11:49 time: 0.8876 data_time: 0.0187 memory: 9483 loss_text: 0.8322 loss_center: 2.8216 loss_reg_x: 1.1239 loss_reg_y: 1.2345 loss: 6.0122 2022/08/25 23:54:34 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:54:34 - mmengine - INFO - Epoch(train) [73][125/125] lr: 9.5667e-04 eta: 1 day, 4:11:49 time: 0.8727 data_time: 0.0180 memory: 9483 loss_text: 0.9312 loss_center: 2.8275 loss_reg_x: 1.4812 loss_reg_y: 1.1957 loss: 6.4357 2022/08/25 23:54:37 - mmengine - INFO - Epoch(train) [74][5/125] lr: 9.5607e-04 eta: 1 day, 4:11:49 time: 0.5408 data_time: 0.0699 memory: 9483 loss_text: 0.9562 loss_center: 2.8270 loss_reg_x: 1.5644 loss_reg_y: 1.2674 loss: 6.6150 2022/08/25 23:54:40 - mmengine - INFO - Epoch(train) [74][10/125] lr: 9.5607e-04 eta: 1 day, 4:10:46 time: 0.5721 data_time: 0.0744 memory: 9483 loss_text: 0.8896 loss_center: 2.8309 loss_reg_x: 1.4430 loss_reg_y: 1.1546 loss: 6.3181 2022/08/25 23:54:42 - mmengine - INFO - Epoch(train) [74][15/125] lr: 9.5607e-04 eta: 1 day, 4:10:46 time: 0.5172 data_time: 0.0164 memory: 9483 loss_text: 0.8562 loss_center: 2.8228 loss_reg_x: 1.3723 loss_reg_y: 1.1128 loss: 6.1641 2022/08/25 23:54:45 - mmengine - INFO - Epoch(train) [74][20/125] lr: 9.5607e-04 eta: 1 day, 4:10:34 time: 0.5400 data_time: 0.0123 memory: 9483 loss_text: 0.7884 loss_center: 2.7868 loss_reg_x: 1.2140 loss_reg_y: 1.1019 loss: 5.8911 2022/08/25 23:54:49 - mmengine - INFO - Epoch(train) [74][25/125] lr: 9.5607e-04 eta: 1 day, 4:10:34 time: 0.6398 data_time: 0.0129 memory: 9483 loss_text: 0.8150 loss_center: 2.7992 loss_reg_x: 1.2809 loss_reg_y: 1.1273 loss: 6.0223 2022/08/25 23:54:52 - mmengine - INFO - Epoch(train) [74][30/125] lr: 9.5607e-04 eta: 1 day, 4:10:44 time: 0.6463 data_time: 0.0194 memory: 9483 loss_text: 0.8382 loss_center: 2.8038 loss_reg_x: 1.1407 loss_reg_y: 1.0961 loss: 5.8788 2022/08/25 23:54:54 - mmengine - INFO - Epoch(train) [74][35/125] lr: 9.5607e-04 eta: 1 day, 4:10:44 time: 0.5404 data_time: 0.0188 memory: 9483 loss_text: 0.8748 loss_center: 2.8164 loss_reg_x: 1.1694 loss_reg_y: 1.1786 loss: 6.0392 2022/08/25 23:54:57 - mmengine - INFO - Epoch(train) [74][40/125] lr: 9.5607e-04 eta: 1 day, 4:10:26 time: 0.5056 data_time: 0.0130 memory: 9483 loss_text: 0.8733 loss_center: 2.8307 loss_reg_x: 1.1992 loss_reg_y: 1.2220 loss: 6.1250 2022/08/25 23:54:59 - mmengine - INFO - Epoch(train) [74][45/125] lr: 9.5607e-04 eta: 1 day, 4:10:26 time: 0.5285 data_time: 0.0149 memory: 9483 loss_text: 0.7768 loss_center: 2.8054 loss_reg_x: 1.0556 loss_reg_y: 1.1024 loss: 5.7402 2022/08/25 23:55:02 - mmengine - INFO - Epoch(train) [74][50/125] lr: 9.5607e-04 eta: 1 day, 4:10:10 time: 0.5144 data_time: 0.0162 memory: 9483 loss_text: 0.7662 loss_center: 2.7829 loss_reg_x: 1.0946 loss_reg_y: 1.1696 loss: 5.8133 2022/08/25 23:55:04 - mmengine - INFO - Epoch(train) [74][55/125] lr: 9.5607e-04 eta: 1 day, 4:10:10 time: 0.4972 data_time: 0.0175 memory: 9483 loss_text: 0.8467 loss_center: 2.8133 loss_reg_x: 1.2057 loss_reg_y: 1.3194 loss: 6.1850 2022/08/25 23:55:07 - mmengine - INFO - Epoch(train) [74][60/125] lr: 9.5607e-04 eta: 1 day, 4:10:02 time: 0.5576 data_time: 0.0158 memory: 9483 loss_text: 0.8646 loss_center: 2.8284 loss_reg_x: 1.2831 loss_reg_y: 1.2364 loss: 6.2125 2022/08/25 23:55:10 - mmengine - INFO - Epoch(train) [74][65/125] lr: 9.5607e-04 eta: 1 day, 4:10:02 time: 0.5701 data_time: 0.0130 memory: 9483 loss_text: 0.8122 loss_center: 2.8051 loss_reg_x: 1.1456 loss_reg_y: 1.1158 loss: 5.8787 2022/08/25 23:55:13 - mmengine - INFO - Epoch(train) [74][70/125] lr: 9.5607e-04 eta: 1 day, 4:09:46 time: 0.5180 data_time: 0.0155 memory: 9483 loss_text: 0.7237 loss_center: 2.7429 loss_reg_x: 0.9618 loss_reg_y: 1.0248 loss: 5.4532 2022/08/25 23:55:15 - mmengine - INFO - Epoch(train) [74][75/125] lr: 9.5607e-04 eta: 1 day, 4:09:46 time: 0.5072 data_time: 0.0152 memory: 9483 loss_text: 0.6817 loss_center: 2.7467 loss_reg_x: 0.9485 loss_reg_y: 1.0067 loss: 5.3836 2022/08/25 23:55:18 - mmengine - INFO - Epoch(train) [74][80/125] lr: 9.5607e-04 eta: 1 day, 4:09:36 time: 0.5477 data_time: 0.0123 memory: 9483 loss_text: 0.7093 loss_center: 2.8033 loss_reg_x: 1.1338 loss_reg_y: 1.1906 loss: 5.8370 2022/08/25 23:55:20 - mmengine - INFO - Epoch(train) [74][85/125] lr: 9.5607e-04 eta: 1 day, 4:09:36 time: 0.5353 data_time: 0.0140 memory: 9483 loss_text: 0.7347 loss_center: 2.8001 loss_reg_x: 1.1754 loss_reg_y: 1.1871 loss: 5.8974 2022/08/25 23:55:23 - mmengine - INFO - Epoch(train) [74][90/125] lr: 9.5607e-04 eta: 1 day, 4:09:12 time: 0.4730 data_time: 0.0163 memory: 9483 loss_text: 0.7462 loss_center: 2.8211 loss_reg_x: 1.1547 loss_reg_y: 1.0591 loss: 5.7811 2022/08/25 23:55:25 - mmengine - INFO - Epoch(train) [74][95/125] lr: 9.5607e-04 eta: 1 day, 4:09:12 time: 0.4694 data_time: 0.0155 memory: 9483 loss_text: 0.8398 loss_center: 2.8359 loss_reg_x: 1.3518 loss_reg_y: 1.2417 loss: 6.2693 2022/08/25 23:55:29 - mmengine - INFO - Epoch(train) [74][100/125] lr: 9.5607e-04 eta: 1 day, 4:09:11 time: 0.5926 data_time: 0.0224 memory: 9483 loss_text: 1.0294 loss_center: 2.8233 loss_reg_x: 1.4377 loss_reg_y: 1.2674 loss: 6.5579 2022/08/25 23:55:31 - mmengine - INFO - Epoch(train) [74][105/125] lr: 9.5607e-04 eta: 1 day, 4:09:11 time: 0.6054 data_time: 0.0222 memory: 9483 loss_text: 1.0013 loss_center: 2.8142 loss_reg_x: 1.4580 loss_reg_y: 1.2152 loss: 6.4888 2022/08/25 23:55:34 - mmengine - INFO - Epoch(train) [74][110/125] lr: 9.5607e-04 eta: 1 day, 4:08:52 time: 0.4991 data_time: 0.0162 memory: 9483 loss_text: 0.8577 loss_center: 2.8077 loss_reg_x: 1.5602 loss_reg_y: 1.4554 loss: 6.6810 2022/08/25 23:55:37 - mmengine - INFO - Epoch(train) [74][115/125] lr: 9.5607e-04 eta: 1 day, 4:08:52 time: 0.5744 data_time: 0.0153 memory: 9483 loss_text: 0.9776 loss_center: 2.8182 loss_reg_x: 1.7452 loss_reg_y: 1.5975 loss: 7.1385 2022/08/25 23:55:39 - mmengine - INFO - Epoch(train) [74][120/125] lr: 9.5607e-04 eta: 1 day, 4:08:46 time: 0.5650 data_time: 0.0150 memory: 9483 loss_text: 0.9558 loss_center: 2.8291 loss_reg_x: 1.5822 loss_reg_y: 1.4035 loss: 6.7705 2022/08/25 23:55:42 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:55:42 - mmengine - INFO - Epoch(train) [74][125/125] lr: 9.5607e-04 eta: 1 day, 4:08:46 time: 0.4942 data_time: 0.0149 memory: 9483 loss_text: 0.8724 loss_center: 2.8299 loss_reg_x: 1.3291 loss_reg_y: 1.1594 loss: 6.1908 2022/08/25 23:55:45 - mmengine - INFO - Epoch(train) [75][5/125] lr: 9.5546e-04 eta: 1 day, 4:08:46 time: 0.5551 data_time: 0.0827 memory: 9483 loss_text: 0.9732 loss_center: 2.8362 loss_reg_x: 1.3678 loss_reg_y: 1.3855 loss: 6.5627 2022/08/25 23:55:49 - mmengine - INFO - Epoch(train) [75][10/125] lr: 9.5546e-04 eta: 1 day, 4:08:06 time: 0.6922 data_time: 0.0901 memory: 9483 loss_text: 0.8828 loss_center: 2.8091 loss_reg_x: 1.0954 loss_reg_y: 1.2520 loss: 6.0394 2022/08/25 23:55:51 - mmengine - INFO - Epoch(train) [75][15/125] lr: 9.5546e-04 eta: 1 day, 4:08:06 time: 0.6493 data_time: 0.0201 memory: 9483 loss_text: 0.8327 loss_center: 2.8056 loss_reg_x: 1.2195 loss_reg_y: 1.2125 loss: 6.0704 2022/08/25 23:55:54 - mmengine - INFO - Epoch(train) [75][20/125] lr: 9.5546e-04 eta: 1 day, 4:07:56 time: 0.5453 data_time: 0.0137 memory: 9483 loss_text: 0.9224 loss_center: 2.8189 loss_reg_x: 1.4202 loss_reg_y: 1.5193 loss: 6.6808 2022/08/25 23:55:58 - mmengine - INFO - Epoch(train) [75][25/125] lr: 9.5546e-04 eta: 1 day, 4:07:56 time: 0.6160 data_time: 0.0163 memory: 9483 loss_text: 0.8369 loss_center: 2.8046 loss_reg_x: 1.0610 loss_reg_y: 1.2327 loss: 5.9351 2022/08/25 23:56:00 - mmengine - INFO - Epoch(train) [75][30/125] lr: 9.5546e-04 eta: 1 day, 4:07:52 time: 0.5730 data_time: 0.0157 memory: 9483 loss_text: 0.7820 loss_center: 2.6884 loss_reg_x: 0.9940 loss_reg_y: 1.0105 loss: 5.4749 2022/08/25 23:56:02 - mmengine - INFO - Epoch(train) [75][35/125] lr: 9.5546e-04 eta: 1 day, 4:07:52 time: 0.4882 data_time: 0.0124 memory: 9483 loss_text: 0.7720 loss_center: 2.6919 loss_reg_x: 1.1161 loss_reg_y: 1.0069 loss: 5.5868 2022/08/25 23:56:05 - mmengine - INFO - Epoch(train) [75][40/125] lr: 9.5546e-04 eta: 1 day, 4:07:33 time: 0.5021 data_time: 0.0123 memory: 9483 loss_text: 0.8343 loss_center: 2.8127 loss_reg_x: 1.1354 loss_reg_y: 1.0420 loss: 5.8243 2022/08/25 23:56:08 - mmengine - INFO - Epoch(train) [75][45/125] lr: 9.5546e-04 eta: 1 day, 4:07:33 time: 0.5483 data_time: 0.0351 memory: 9483 loss_text: 0.8497 loss_center: 2.8099 loss_reg_x: 1.1007 loss_reg_y: 1.0118 loss: 5.7721 2022/08/25 23:56:10 - mmengine - INFO - Epoch(train) [75][50/125] lr: 9.5546e-04 eta: 1 day, 4:07:21 time: 0.5361 data_time: 0.0360 memory: 9483 loss_text: 0.8593 loss_center: 2.8111 loss_reg_x: 1.3621 loss_reg_y: 0.9436 loss: 5.9761 2022/08/25 23:56:13 - mmengine - INFO - Epoch(train) [75][55/125] lr: 9.5546e-04 eta: 1 day, 4:07:21 time: 0.4848 data_time: 0.0159 memory: 9483 loss_text: 0.9713 loss_center: 2.8387 loss_reg_x: 1.6100 loss_reg_y: 1.2798 loss: 6.6999 2022/08/25 23:56:15 - mmengine - INFO - Epoch(train) [75][60/125] lr: 9.5546e-04 eta: 1 day, 4:07:02 time: 0.4966 data_time: 0.0198 memory: 9483 loss_text: 0.9159 loss_center: 2.8274 loss_reg_x: 1.3562 loss_reg_y: 1.2739 loss: 6.3733 2022/08/25 23:56:19 - mmengine - INFO - Epoch(train) [75][65/125] lr: 9.5546e-04 eta: 1 day, 4:07:02 time: 0.6240 data_time: 0.0191 memory: 9483 loss_text: 0.9063 loss_center: 2.8235 loss_reg_x: 1.3940 loss_reg_y: 1.2277 loss: 6.3515 2022/08/25 23:56:22 - mmengine - INFO - Epoch(train) [75][70/125] lr: 9.5546e-04 eta: 1 day, 4:07:06 time: 0.6185 data_time: 0.0147 memory: 9483 loss_text: 0.8681 loss_center: 2.8218 loss_reg_x: 1.3251 loss_reg_y: 1.1355 loss: 6.1505 2022/08/25 23:56:24 - mmengine - INFO - Epoch(train) [75][75/125] lr: 9.5546e-04 eta: 1 day, 4:07:06 time: 0.5059 data_time: 0.0126 memory: 9483 loss_text: 0.9059 loss_center: 2.8210 loss_reg_x: 1.2052 loss_reg_y: 1.0233 loss: 5.9554 2022/08/25 23:56:28 - mmengine - INFO - Epoch(train) [75][80/125] lr: 9.5546e-04 eta: 1 day, 4:07:22 time: 0.6837 data_time: 0.0331 memory: 9483 loss_text: 0.9361 loss_center: 2.8213 loss_reg_x: 1.3322 loss_reg_y: 1.2708 loss: 6.3604 2022/08/25 23:56:31 - mmengine - INFO - Epoch(train) [75][85/125] lr: 9.5546e-04 eta: 1 day, 4:07:22 time: 0.7104 data_time: 0.0395 memory: 9483 loss_text: 0.8068 loss_center: 2.7884 loss_reg_x: 1.2054 loss_reg_y: 1.1878 loss: 5.9884 2022/08/25 23:56:33 - mmengine - INFO - Epoch(train) [75][90/125] lr: 9.5546e-04 eta: 1 day, 4:07:06 time: 0.5132 data_time: 0.0190 memory: 9483 loss_text: 0.8186 loss_center: 2.7579 loss_reg_x: 1.2740 loss_reg_y: 1.2249 loss: 6.0754 2022/08/25 23:56:36 - mmengine - INFO - Epoch(train) [75][95/125] lr: 9.5546e-04 eta: 1 day, 4:07:06 time: 0.4751 data_time: 0.0177 memory: 9483 loss_text: 0.8455 loss_center: 2.7887 loss_reg_x: 1.3284 loss_reg_y: 1.3622 loss: 6.3248 2022/08/25 23:56:39 - mmengine - INFO - Epoch(train) [75][100/125] lr: 9.5546e-04 eta: 1 day, 4:06:50 time: 0.5139 data_time: 0.0167 memory: 9483 loss_text: 0.8340 loss_center: 2.8248 loss_reg_x: 1.1952 loss_reg_y: 1.2801 loss: 6.1340 2022/08/25 23:56:41 - mmengine - INFO - Epoch(train) [75][105/125] lr: 9.5546e-04 eta: 1 day, 4:06:50 time: 0.5338 data_time: 0.0140 memory: 9483 loss_text: 0.8838 loss_center: 2.8126 loss_reg_x: 1.2032 loss_reg_y: 1.2527 loss: 6.1524 2022/08/25 23:56:44 - mmengine - INFO - Epoch(train) [75][110/125] lr: 9.5546e-04 eta: 1 day, 4:06:36 time: 0.5214 data_time: 0.0152 memory: 9483 loss_text: 0.9117 loss_center: 2.8128 loss_reg_x: 1.3214 loss_reg_y: 1.1322 loss: 6.1781 2022/08/25 23:56:49 - mmengine - INFO - Epoch(train) [75][115/125] lr: 9.5546e-04 eta: 1 day, 4:06:36 time: 0.7481 data_time: 0.0155 memory: 9483 loss_text: 0.8437 loss_center: 2.7573 loss_reg_x: 1.3264 loss_reg_y: 1.1526 loss: 6.0801 2022/08/25 23:56:51 - mmengine - INFO - Epoch(train) [75][120/125] lr: 9.5546e-04 eta: 1 day, 4:07:02 time: 0.7369 data_time: 0.0177 memory: 9483 loss_text: 0.8227 loss_center: 2.7618 loss_reg_x: 1.2244 loss_reg_y: 1.1846 loss: 5.9935 2022/08/25 23:56:54 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:56:54 - mmengine - INFO - Epoch(train) [75][125/125] lr: 9.5546e-04 eta: 1 day, 4:07:02 time: 0.5404 data_time: 0.0204 memory: 9483 loss_text: 0.8293 loss_center: 2.8019 loss_reg_x: 1.2342 loss_reg_y: 1.0506 loss: 5.9160 2022/08/25 23:56:58 - mmengine - INFO - Epoch(train) [76][5/125] lr: 9.5486e-04 eta: 1 day, 4:07:02 time: 0.6625 data_time: 0.1057 memory: 9483 loss_text: 0.8183 loss_center: 2.8184 loss_reg_x: 1.1974 loss_reg_y: 1.0948 loss: 5.9289 2022/08/25 23:57:00 - mmengine - INFO - Epoch(train) [76][10/125] lr: 9.5486e-04 eta: 1 day, 4:06:05 time: 0.5982 data_time: 0.0993 memory: 9483 loss_text: 0.8851 loss_center: 2.7884 loss_reg_x: 1.2140 loss_reg_y: 1.1077 loss: 5.9952 2022/08/25 23:57:03 - mmengine - INFO - Epoch(train) [76][15/125] lr: 9.5486e-04 eta: 1 day, 4:06:05 time: 0.5096 data_time: 0.0130 memory: 9483 loss_text: 0.8882 loss_center: 2.7596 loss_reg_x: 1.2676 loss_reg_y: 1.1656 loss: 6.0810 2022/08/25 23:57:05 - mmengine - INFO - Epoch(train) [76][20/125] lr: 9.5486e-04 eta: 1 day, 4:05:49 time: 0.5146 data_time: 0.0145 memory: 9483 loss_text: 0.8234 loss_center: 2.7967 loss_reg_x: 1.1832 loss_reg_y: 1.1531 loss: 5.9564 2022/08/25 23:57:10 - mmengine - INFO - Epoch(train) [76][25/125] lr: 9.5486e-04 eta: 1 day, 4:05:49 time: 0.7209 data_time: 0.0137 memory: 9483 loss_text: 0.8128 loss_center: 2.8109 loss_reg_x: 1.1917 loss_reg_y: 1.0252 loss: 5.8405 2022/08/25 23:57:13 - mmengine - INFO - Epoch(train) [76][30/125] lr: 9.5486e-04 eta: 1 day, 4:06:12 time: 0.7175 data_time: 0.0136 memory: 9483 loss_text: 0.7718 loss_center: 2.7996 loss_reg_x: 1.0362 loss_reg_y: 0.9000 loss: 5.5076 2022/08/25 23:57:15 - mmengine - INFO - Epoch(train) [76][35/125] lr: 9.5486e-04 eta: 1 day, 4:06:12 time: 0.4979 data_time: 0.0151 memory: 9483 loss_text: 0.7661 loss_center: 2.8039 loss_reg_x: 0.9164 loss_reg_y: 0.9063 loss: 5.3927 2022/08/25 23:57:18 - mmengine - INFO - Epoch(train) [76][40/125] lr: 9.5486e-04 eta: 1 day, 4:06:07 time: 0.5696 data_time: 0.0190 memory: 9483 loss_text: 0.7586 loss_center: 2.8190 loss_reg_x: 1.0651 loss_reg_y: 1.0808 loss: 5.7235 2022/08/25 23:57:21 - mmengine - INFO - Epoch(train) [76][45/125] lr: 9.5486e-04 eta: 1 day, 4:06:07 time: 0.5373 data_time: 0.0189 memory: 9483 loss_text: 0.8088 loss_center: 2.8264 loss_reg_x: 1.2256 loss_reg_y: 1.2550 loss: 6.1158 2022/08/25 23:57:23 - mmengine - INFO - Epoch(train) [76][50/125] lr: 9.5486e-04 eta: 1 day, 4:05:48 time: 0.5006 data_time: 0.0155 memory: 9483 loss_text: 0.8685 loss_center: 2.8305 loss_reg_x: 1.3019 loss_reg_y: 1.2185 loss: 6.2195 2022/08/25 23:57:26 - mmengine - INFO - Epoch(train) [76][55/125] lr: 9.5486e-04 eta: 1 day, 4:05:48 time: 0.5247 data_time: 0.0165 memory: 9483 loss_text: 0.8365 loss_center: 2.8207 loss_reg_x: 1.3415 loss_reg_y: 1.1272 loss: 6.1259 2022/08/25 23:57:30 - mmengine - INFO - Epoch(train) [76][60/125] lr: 9.5486e-04 eta: 1 day, 4:05:59 time: 0.6537 data_time: 0.0192 memory: 9483 loss_text: 0.8187 loss_center: 2.8140 loss_reg_x: 1.3682 loss_reg_y: 1.2317 loss: 6.2327 2022/08/25 23:57:32 - mmengine - INFO - Epoch(train) [76][65/125] lr: 9.5486e-04 eta: 1 day, 4:05:59 time: 0.6613 data_time: 0.0164 memory: 9483 loss_text: 0.8085 loss_center: 2.7949 loss_reg_x: 1.3080 loss_reg_y: 1.1608 loss: 6.0723 2022/08/25 23:57:35 - mmengine - INFO - Epoch(train) [76][70/125] lr: 9.5486e-04 eta: 1 day, 4:05:45 time: 0.5278 data_time: 0.0131 memory: 9483 loss_text: 0.8481 loss_center: 2.7965 loss_reg_x: 1.4214 loss_reg_y: 1.2522 loss: 6.3183 2022/08/25 23:57:38 - mmengine - INFO - Epoch(train) [76][75/125] lr: 9.5486e-04 eta: 1 day, 4:05:45 time: 0.5250 data_time: 0.0147 memory: 9483 loss_text: 0.8767 loss_center: 2.8101 loss_reg_x: 1.4463 loss_reg_y: 1.3136 loss: 6.4468 2022/08/25 23:57:40 - mmengine - INFO - Epoch(train) [76][80/125] lr: 9.5486e-04 eta: 1 day, 4:05:28 time: 0.5078 data_time: 0.0151 memory: 9483 loss_text: 0.8127 loss_center: 2.8022 loss_reg_x: 1.2980 loss_reg_y: 1.2188 loss: 6.1317 2022/08/25 23:57:43 - mmengine - INFO - Epoch(train) [76][85/125] lr: 9.5486e-04 eta: 1 day, 4:05:28 time: 0.5025 data_time: 0.0131 memory: 9483 loss_text: 0.7804 loss_center: 2.7933 loss_reg_x: 1.1655 loss_reg_y: 1.1194 loss: 5.8586 2022/08/25 23:57:45 - mmengine - INFO - Epoch(train) [76][90/125] lr: 9.5486e-04 eta: 1 day, 4:05:10 time: 0.4990 data_time: 0.0122 memory: 9483 loss_text: 0.8422 loss_center: 2.7948 loss_reg_x: 1.0482 loss_reg_y: 1.2295 loss: 5.9147 2022/08/25 23:57:50 - mmengine - INFO - Epoch(train) [76][95/125] lr: 9.5486e-04 eta: 1 day, 4:05:10 time: 0.7131 data_time: 0.0465 memory: 9483 loss_text: 0.9868 loss_center: 2.8102 loss_reg_x: 1.2884 loss_reg_y: 1.4195 loss: 6.5049 2022/08/25 23:57:52 - mmengine - INFO - Epoch(train) [76][100/125] lr: 9.5486e-04 eta: 1 day, 4:05:31 time: 0.7100 data_time: 0.0471 memory: 9483 loss_text: 0.9877 loss_center: 2.8300 loss_reg_x: 1.3535 loss_reg_y: 1.2176 loss: 6.3888 2022/08/25 23:57:55 - mmengine - INFO - Epoch(train) [76][105/125] lr: 9.5486e-04 eta: 1 day, 4:05:31 time: 0.4949 data_time: 0.0136 memory: 9483 loss_text: 0.9326 loss_center: 2.8265 loss_reg_x: 1.1038 loss_reg_y: 0.9851 loss: 5.8481 2022/08/25 23:57:57 - mmengine - INFO - Epoch(train) [76][110/125] lr: 9.5486e-04 eta: 1 day, 4:05:11 time: 0.4932 data_time: 0.0133 memory: 9483 loss_text: 0.9157 loss_center: 2.8128 loss_reg_x: 1.0454 loss_reg_y: 0.9105 loss: 5.6844 2022/08/25 23:58:00 - mmengine - INFO - Epoch(train) [76][115/125] lr: 9.5486e-04 eta: 1 day, 4:05:11 time: 0.4857 data_time: 0.0149 memory: 9483 loss_text: 0.9149 loss_center: 2.8128 loss_reg_x: 1.2413 loss_reg_y: 1.1615 loss: 6.1305 2022/08/25 23:58:02 - mmengine - INFO - Epoch(train) [76][120/125] lr: 9.5486e-04 eta: 1 day, 4:04:51 time: 0.4930 data_time: 0.0184 memory: 9483 loss_text: 0.9636 loss_center: 2.8330 loss_reg_x: 1.3322 loss_reg_y: 1.3868 loss: 6.5156 2022/08/25 23:58:05 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:58:05 - mmengine - INFO - Epoch(train) [76][125/125] lr: 9.5486e-04 eta: 1 day, 4:04:51 time: 0.5052 data_time: 0.0161 memory: 9483 loss_text: 0.9492 loss_center: 2.8448 loss_reg_x: 1.2921 loss_reg_y: 1.2788 loss: 6.3649 2022/08/25 23:58:10 - mmengine - INFO - Epoch(train) [77][5/125] lr: 9.5426e-04 eta: 1 day, 4:04:51 time: 0.8231 data_time: 0.0937 memory: 9483 loss_text: 0.8833 loss_center: 2.8380 loss_reg_x: 1.1661 loss_reg_y: 1.0064 loss: 5.8938 2022/08/25 23:58:13 - mmengine - INFO - Epoch(train) [77][10/125] lr: 9.5426e-04 eta: 1 day, 4:04:37 time: 0.8189 data_time: 0.0957 memory: 9483 loss_text: 0.8992 loss_center: 2.8436 loss_reg_x: 1.3027 loss_reg_y: 1.1694 loss: 6.2149 2022/08/25 23:58:15 - mmengine - INFO - Epoch(train) [77][15/125] lr: 9.5426e-04 eta: 1 day, 4:04:37 time: 0.4994 data_time: 0.0154 memory: 9483 loss_text: 0.9839 loss_center: 2.8366 loss_reg_x: 1.5186 loss_reg_y: 1.2737 loss: 6.6127 2022/08/25 23:58:18 - mmengine - INFO - Epoch(train) [77][20/125] lr: 9.5426e-04 eta: 1 day, 4:04:17 time: 0.4916 data_time: 0.0140 memory: 9483 loss_text: 0.8995 loss_center: 2.8165 loss_reg_x: 1.3496 loss_reg_y: 1.0680 loss: 6.1336 2022/08/25 23:58:21 - mmengine - INFO - Epoch(train) [77][25/125] lr: 9.5426e-04 eta: 1 day, 4:04:17 time: 0.5541 data_time: 0.0130 memory: 9483 loss_text: 0.8607 loss_center: 2.8178 loss_reg_x: 1.2341 loss_reg_y: 1.0925 loss: 6.0051 2022/08/25 23:58:23 - mmengine - INFO - Epoch(train) [77][30/125] lr: 9.5426e-04 eta: 1 day, 4:04:07 time: 0.5439 data_time: 0.0142 memory: 9483 loss_text: 0.9094 loss_center: 2.8175 loss_reg_x: 1.2093 loss_reg_y: 1.0718 loss: 6.0081 2022/08/25 23:58:26 - mmengine - INFO - Epoch(train) [77][35/125] lr: 9.5426e-04 eta: 1 day, 4:04:07 time: 0.4913 data_time: 0.0145 memory: 9483 loss_text: 0.9572 loss_center: 2.8161 loss_reg_x: 1.4572 loss_reg_y: 1.1637 loss: 6.3942 2022/08/25 23:58:29 - mmengine - INFO - Epoch(train) [77][40/125] lr: 9.5426e-04 eta: 1 day, 4:03:59 time: 0.5585 data_time: 0.0300 memory: 9483 loss_text: 0.9578 loss_center: 2.8207 loss_reg_x: 1.4464 loss_reg_y: 1.1894 loss: 6.4142 2022/08/25 23:58:31 - mmengine - INFO - Epoch(train) [77][45/125] lr: 9.5426e-04 eta: 1 day, 4:03:59 time: 0.5446 data_time: 0.0310 memory: 9483 loss_text: 0.9029 loss_center: 2.8115 loss_reg_x: 1.1843 loss_reg_y: 1.0247 loss: 5.9234 2022/08/25 23:58:34 - mmengine - INFO - Epoch(train) [77][50/125] lr: 9.5426e-04 eta: 1 day, 4:03:46 time: 0.5302 data_time: 0.0194 memory: 9483 loss_text: 0.8199 loss_center: 2.8022 loss_reg_x: 1.1454 loss_reg_y: 1.0131 loss: 5.7805 2022/08/25 23:58:37 - mmengine - INFO - Epoch(train) [77][55/125] lr: 9.5426e-04 eta: 1 day, 4:03:46 time: 0.5326 data_time: 0.0183 memory: 9483 loss_text: 0.8086 loss_center: 2.8035 loss_reg_x: 1.1292 loss_reg_y: 1.0657 loss: 5.8070 2022/08/25 23:58:39 - mmengine - INFO - Epoch(train) [77][60/125] lr: 9.5426e-04 eta: 1 day, 4:03:32 time: 0.5188 data_time: 0.0124 memory: 9483 loss_text: 0.8456 loss_center: 2.7988 loss_reg_x: 1.2735 loss_reg_y: 1.2609 loss: 6.1787 2022/08/25 23:58:42 - mmengine - INFO - Epoch(train) [77][65/125] lr: 9.5426e-04 eta: 1 day, 4:03:32 time: 0.5322 data_time: 0.0132 memory: 9483 loss_text: 0.8316 loss_center: 2.8100 loss_reg_x: 1.3929 loss_reg_y: 1.5027 loss: 6.5372 2022/08/25 23:58:45 - mmengine - INFO - Epoch(train) [77][70/125] lr: 9.5426e-04 eta: 1 day, 4:03:19 time: 0.5290 data_time: 0.0188 memory: 9483 loss_text: 1.0129 loss_center: 2.8045 loss_reg_x: 1.1896 loss_reg_y: 1.3783 loss: 6.3854 2022/08/25 23:58:48 - mmengine - INFO - Epoch(train) [77][75/125] lr: 9.5426e-04 eta: 1 day, 4:03:19 time: 0.6132 data_time: 0.0179 memory: 9483 loss_text: 1.0421 loss_center: 2.7807 loss_reg_x: 0.9558 loss_reg_y: 1.0865 loss: 5.8651 2022/08/25 23:58:51 - mmengine - INFO - Epoch(train) [77][80/125] lr: 9.5426e-04 eta: 1 day, 4:03:23 time: 0.6220 data_time: 0.0127 memory: 9483 loss_text: 0.8459 loss_center: 2.7816 loss_reg_x: 0.8941 loss_reg_y: 0.9606 loss: 5.4822 2022/08/25 23:58:53 - mmengine - INFO - Epoch(train) [77][85/125] lr: 9.5426e-04 eta: 1 day, 4:03:23 time: 0.5265 data_time: 0.0130 memory: 9483 loss_text: 0.7769 loss_center: 2.7902 loss_reg_x: 1.0284 loss_reg_y: 1.0670 loss: 5.6625 2022/08/25 23:58:56 - mmengine - INFO - Epoch(train) [77][90/125] lr: 9.5426e-04 eta: 1 day, 4:03:03 time: 0.4890 data_time: 0.0148 memory: 9483 loss_text: 0.8092 loss_center: 2.7952 loss_reg_x: 1.2275 loss_reg_y: 1.1938 loss: 6.0257 2022/08/25 23:58:58 - mmengine - INFO - Epoch(train) [77][95/125] lr: 9.5426e-04 eta: 1 day, 4:03:03 time: 0.4817 data_time: 0.0146 memory: 9483 loss_text: 0.8487 loss_center: 2.8110 loss_reg_x: 1.1444 loss_reg_y: 1.1102 loss: 5.9143 2022/08/25 23:59:01 - mmengine - INFO - Epoch(train) [77][100/125] lr: 9.5426e-04 eta: 1 day, 4:02:43 time: 0.4891 data_time: 0.0130 memory: 9483 loss_text: 0.8552 loss_center: 2.8238 loss_reg_x: 1.1353 loss_reg_y: 1.0946 loss: 5.9089 2022/08/25 23:59:03 - mmengine - INFO - Epoch(train) [77][105/125] lr: 9.5426e-04 eta: 1 day, 4:02:43 time: 0.5165 data_time: 0.0131 memory: 9483 loss_text: 0.8752 loss_center: 2.8122 loss_reg_x: 1.3754 loss_reg_y: 1.3392 loss: 6.4020 2022/08/25 23:59:06 - mmengine - INFO - Epoch(train) [77][110/125] lr: 9.5426e-04 eta: 1 day, 4:02:25 time: 0.5024 data_time: 0.0125 memory: 9483 loss_text: 0.8907 loss_center: 2.7996 loss_reg_x: 1.2917 loss_reg_y: 1.3495 loss: 6.3315 2022/08/25 23:59:09 - mmengine - INFO - Epoch(train) [77][115/125] lr: 9.5426e-04 eta: 1 day, 4:02:25 time: 0.6172 data_time: 0.0152 memory: 9483 loss_text: 0.8603 loss_center: 2.8035 loss_reg_x: 1.2834 loss_reg_y: 1.3762 loss: 6.3234 2022/08/25 23:59:12 - mmengine - INFO - Epoch(train) [77][120/125] lr: 9.5426e-04 eta: 1 day, 4:02:31 time: 0.6334 data_time: 0.0148 memory: 9483 loss_text: 0.8462 loss_center: 2.8188 loss_reg_x: 1.3573 loss_reg_y: 1.3011 loss: 6.3234 2022/08/25 23:59:14 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/25 23:59:14 - mmengine - INFO - Epoch(train) [77][125/125] lr: 9.5426e-04 eta: 1 day, 4:02:31 time: 0.4936 data_time: 0.0118 memory: 9483 loss_text: 0.8654 loss_center: 2.8257 loss_reg_x: 1.2857 loss_reg_y: 1.2741 loss: 6.2509 2022/08/25 23:59:22 - mmengine - INFO - Epoch(train) [78][5/125] lr: 9.5365e-04 eta: 1 day, 4:02:31 time: 0.9796 data_time: 0.0646 memory: 9483 loss_text: 0.8035 loss_center: 2.7945 loss_reg_x: 1.2573 loss_reg_y: 1.2974 loss: 6.1528 2022/08/25 23:59:24 - mmengine - INFO - Epoch(train) [78][10/125] lr: 9.5365e-04 eta: 1 day, 4:02:50 time: 0.9973 data_time: 0.0673 memory: 9483 loss_text: 0.7547 loss_center: 2.7902 loss_reg_x: 1.1418 loss_reg_y: 1.1698 loss: 5.8566 2022/08/25 23:59:28 - mmengine - INFO - Epoch(train) [78][15/125] lr: 9.5365e-04 eta: 1 day, 4:02:50 time: 0.5939 data_time: 0.0478 memory: 9483 loss_text: 0.7854 loss_center: 2.8026 loss_reg_x: 1.2366 loss_reg_y: 1.2751 loss: 6.0997 2022/08/25 23:59:30 - mmengine - INFO - Epoch(train) [78][20/125] lr: 9.5365e-04 eta: 1 day, 4:02:49 time: 0.5956 data_time: 0.0453 memory: 9483 loss_text: 0.7941 loss_center: 2.7376 loss_reg_x: 1.2129 loss_reg_y: 1.0477 loss: 5.7924 2022/08/25 23:59:33 - mmengine - INFO - Epoch(train) [78][25/125] lr: 9.5365e-04 eta: 1 day, 4:02:49 time: 0.4824 data_time: 0.0136 memory: 9483 loss_text: 0.7966 loss_center: 2.7644 loss_reg_x: 1.0923 loss_reg_y: 1.0094 loss: 5.6627 2022/08/25 23:59:35 - mmengine - INFO - Epoch(train) [78][30/125] lr: 9.5365e-04 eta: 1 day, 4:02:28 time: 0.4849 data_time: 0.0166 memory: 9483 loss_text: 0.8878 loss_center: 2.8278 loss_reg_x: 1.2205 loss_reg_y: 1.3367 loss: 6.2728 2022/08/25 23:59:41 - mmengine - INFO - Epoch(train) [78][35/125] lr: 9.5365e-04 eta: 1 day, 4:02:28 time: 0.8611 data_time: 0.0156 memory: 9483 loss_text: 0.9569 loss_center: 2.8103 loss_reg_x: 1.2963 loss_reg_y: 1.2664 loss: 6.3299 2022/08/25 23:59:44 - mmengine - INFO - Epoch(train) [78][40/125] lr: 9.5365e-04 eta: 1 day, 4:03:16 time: 0.8591 data_time: 0.0159 memory: 9483 loss_text: 0.9341 loss_center: 2.8162 loss_reg_x: 1.3887 loss_reg_y: 1.1429 loss: 6.2818 2022/08/25 23:59:47 - mmengine - INFO - Epoch(train) [78][45/125] lr: 9.5365e-04 eta: 1 day, 4:03:16 time: 0.5483 data_time: 0.0185 memory: 9483 loss_text: 0.9141 loss_center: 2.8315 loss_reg_x: 1.3713 loss_reg_y: 1.2350 loss: 6.3520 2022/08/25 23:59:50 - mmengine - INFO - Epoch(train) [78][50/125] lr: 9.5365e-04 eta: 1 day, 4:03:19 time: 0.6127 data_time: 0.0394 memory: 9483 loss_text: 0.8926 loss_center: 2.8237 loss_reg_x: 1.2342 loss_reg_y: 1.1435 loss: 6.0941 2022/08/25 23:59:53 - mmengine - INFO - Epoch(train) [78][55/125] lr: 9.5365e-04 eta: 1 day, 4:03:19 time: 0.5982 data_time: 0.0372 memory: 9483 loss_text: 0.8617 loss_center: 2.8030 loss_reg_x: 1.1586 loss_reg_y: 0.9743 loss: 5.7975 2022/08/25 23:59:55 - mmengine - INFO - Epoch(train) [78][60/125] lr: 9.5365e-04 eta: 1 day, 4:03:05 time: 0.5228 data_time: 0.0131 memory: 9483 loss_text: 0.8134 loss_center: 2.8219 loss_reg_x: 1.3012 loss_reg_y: 1.1871 loss: 6.1235 2022/08/25 23:59:58 - mmengine - INFO - Epoch(train) [78][65/125] lr: 9.5365e-04 eta: 1 day, 4:03:05 time: 0.5256 data_time: 0.0176 memory: 9483 loss_text: 0.7707 loss_center: 2.8216 loss_reg_x: 1.3691 loss_reg_y: 1.4179 loss: 6.3793 2022/08/26 00:00:00 - mmengine - INFO - Epoch(train) [78][70/125] lr: 9.5365e-04 eta: 1 day, 4:02:47 time: 0.5013 data_time: 0.0180 memory: 9483 loss_text: 0.7846 loss_center: 2.8119 loss_reg_x: 1.2205 loss_reg_y: 1.3512 loss: 6.1681 2022/08/26 00:00:14 - mmengine - INFO - Epoch(train) [78][75/125] lr: 9.5365e-04 eta: 1 day, 4:02:47 time: 1.6116 data_time: 0.0128 memory: 9483 loss_text: 0.7983 loss_center: 2.8238 loss_reg_x: 1.2232 loss_reg_y: 1.2737 loss: 6.1190 2022/08/26 00:00:17 - mmengine - INFO - Epoch(train) [78][80/125] lr: 9.5365e-04 eta: 1 day, 4:06:02 time: 1.6610 data_time: 0.0255 memory: 9483 loss_text: 0.7710 loss_center: 2.8108 loss_reg_x: 1.1824 loss_reg_y: 1.1161 loss: 5.8803 2022/08/26 00:00:19 - mmengine - INFO - Epoch(train) [78][85/125] lr: 9.5365e-04 eta: 1 day, 4:06:02 time: 0.5360 data_time: 0.0259 memory: 9483 loss_text: 0.7989 loss_center: 2.8097 loss_reg_x: 1.1513 loss_reg_y: 1.1935 loss: 5.9534 2022/08/26 00:00:22 - mmengine - INFO - Epoch(train) [78][90/125] lr: 9.5365e-04 eta: 1 day, 4:05:48 time: 0.5228 data_time: 0.0132 memory: 9483 loss_text: 0.7999 loss_center: 2.8053 loss_reg_x: 1.1891 loss_reg_y: 1.2532 loss: 6.0476 2022/08/26 00:00:24 - mmengine - INFO - Epoch(train) [78][95/125] lr: 9.5365e-04 eta: 1 day, 4:05:48 time: 0.4974 data_time: 0.0128 memory: 9483 loss_text: 0.7856 loss_center: 2.8209 loss_reg_x: 1.1473 loss_reg_y: 1.1704 loss: 5.9242 2022/08/26 00:00:33 - mmengine - INFO - Epoch(train) [78][100/125] lr: 9.5365e-04 eta: 1 day, 4:07:28 time: 1.1486 data_time: 0.0858 memory: 9483 loss_text: 0.8243 loss_center: 2.7964 loss_reg_x: 1.1017 loss_reg_y: 1.0350 loss: 5.7574 2022/08/26 00:00:36 - mmengine - INFO - Epoch(train) [78][105/125] lr: 9.5365e-04 eta: 1 day, 4:07:28 time: 1.1788 data_time: 0.0914 memory: 9483 loss_text: 0.8551 loss_center: 2.7828 loss_reg_x: 1.2477 loss_reg_y: 1.1584 loss: 6.0441 2022/08/26 00:00:39 - mmengine - INFO - Epoch(train) [78][110/125] lr: 9.5365e-04 eta: 1 day, 4:07:14 time: 0.5236 data_time: 0.0232 memory: 9483 loss_text: 0.8090 loss_center: 2.8034 loss_reg_x: 1.3477 loss_reg_y: 1.2376 loss: 6.1977 2022/08/26 00:00:41 - mmengine - INFO - Epoch(train) [78][115/125] lr: 9.5365e-04 eta: 1 day, 4:07:14 time: 0.5020 data_time: 0.0193 memory: 9483 loss_text: 0.8040 loss_center: 2.8086 loss_reg_x: 1.2808 loss_reg_y: 1.1777 loss: 6.0710 2022/08/26 00:00:44 - mmengine - INFO - Epoch(train) [78][120/125] lr: 9.5365e-04 eta: 1 day, 4:06:59 time: 0.5176 data_time: 0.0139 memory: 9483 loss_text: 0.8547 loss_center: 2.8132 loss_reg_x: 1.2861 loss_reg_y: 1.1691 loss: 6.1230 2022/08/26 00:00:46 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:00:46 - mmengine - INFO - Epoch(train) [78][125/125] lr: 9.5365e-04 eta: 1 day, 4:06:59 time: 0.5165 data_time: 0.0118 memory: 9483 loss_text: 0.8753 loss_center: 2.8059 loss_reg_x: 1.1599 loss_reg_y: 1.2256 loss: 6.0666 2022/08/26 00:00:50 - mmengine - INFO - Epoch(train) [79][5/125] lr: 9.5305e-04 eta: 1 day, 4:06:59 time: 0.6393 data_time: 0.1404 memory: 9483 loss_text: 0.8431 loss_center: 2.8032 loss_reg_x: 1.0080 loss_reg_y: 1.2410 loss: 5.8953 2022/08/26 00:00:53 - mmengine - INFO - Epoch(train) [79][10/125] lr: 9.5305e-04 eta: 1 day, 4:06:10 time: 0.6323 data_time: 0.1421 memory: 9483 loss_text: 0.7884 loss_center: 2.8072 loss_reg_x: 1.1221 loss_reg_y: 1.0678 loss: 5.7855 2022/08/26 00:00:55 - mmengine - INFO - Epoch(train) [79][15/125] lr: 9.5305e-04 eta: 1 day, 4:06:10 time: 0.4768 data_time: 0.0145 memory: 9483 loss_text: 0.9172 loss_center: 2.8475 loss_reg_x: 1.4596 loss_reg_y: 1.3633 loss: 6.5875 2022/08/26 00:00:59 - mmengine - INFO - Epoch(train) [79][20/125] lr: 9.5305e-04 eta: 1 day, 4:06:11 time: 0.6083 data_time: 0.0367 memory: 9483 loss_text: 0.9713 loss_center: 2.8561 loss_reg_x: 1.5530 loss_reg_y: 1.5040 loss: 6.8844 2022/08/26 00:01:02 - mmengine - INFO - Epoch(train) [79][25/125] lr: 9.5305e-04 eta: 1 day, 4:06:11 time: 0.6444 data_time: 0.0549 memory: 9483 loss_text: 0.9469 loss_center: 2.8234 loss_reg_x: 1.3324 loss_reg_y: 1.2973 loss: 6.3999 2022/08/26 00:01:04 - mmengine - INFO - Epoch(train) [79][30/125] lr: 9.5305e-04 eta: 1 day, 4:05:59 time: 0.5327 data_time: 0.0320 memory: 9483 loss_text: 0.9304 loss_center: 2.7958 loss_reg_x: 1.1509 loss_reg_y: 1.1252 loss: 6.0023 2022/08/26 00:01:14 - mmengine - INFO - Epoch(train) [79][35/125] lr: 9.5305e-04 eta: 1 day, 4:05:59 time: 0.7540 data_time: 0.0141 memory: 9483 loss_text: 0.9124 loss_center: 2.8120 loss_reg_x: 1.1516 loss_reg_y: 1.1411 loss: 6.0171 2022/08/26 00:01:21 - mmengine - INFO - Epoch(train) [79][40/125] lr: 9.5305e-04 eta: 1 day, 4:09:23 time: 1.7288 data_time: 0.5701 memory: 9483 loss_text: 0.9428 loss_center: 2.8240 loss_reg_x: 1.4096 loss_reg_y: 1.4864 loss: 6.6628 2022/08/26 00:01:24 - mmengine - INFO - Epoch(train) [79][45/125] lr: 9.5305e-04 eta: 1 day, 4:09:23 time: 1.4823 data_time: 0.5696 memory: 9483 loss_text: 0.9416 loss_center: 2.8139 loss_reg_x: 1.4401 loss_reg_y: 1.5807 loss: 6.7763 2022/08/26 00:01:26 - mmengine - INFO - Epoch(train) [79][50/125] lr: 9.5305e-04 eta: 1 day, 4:09:02 time: 0.4825 data_time: 0.0129 memory: 9483 loss_text: 0.9219 loss_center: 2.8178 loss_reg_x: 1.3167 loss_reg_y: 1.2895 loss: 6.3458 2022/08/26 00:01:29 - mmengine - INFO - Epoch(train) [79][55/125] lr: 9.5305e-04 eta: 1 day, 4:09:02 time: 0.4986 data_time: 0.0158 memory: 9483 loss_text: 0.8660 loss_center: 2.8143 loss_reg_x: 1.1129 loss_reg_y: 1.1166 loss: 5.9097 2022/08/26 00:01:31 - mmengine - INFO - Epoch(train) [79][60/125] lr: 9.5305e-04 eta: 1 day, 4:08:45 time: 0.5066 data_time: 0.0169 memory: 9483 loss_text: 0.8872 loss_center: 2.8115 loss_reg_x: 1.0141 loss_reg_y: 1.0939 loss: 5.8066 2022/08/26 00:01:34 - mmengine - INFO - Epoch(train) [79][65/125] lr: 9.5305e-04 eta: 1 day, 4:08:45 time: 0.4874 data_time: 0.0133 memory: 9483 loss_text: 0.8452 loss_center: 2.7855 loss_reg_x: 1.0092 loss_reg_y: 1.0509 loss: 5.6909 2022/08/26 00:01:38 - mmengine - INFO - Epoch(train) [79][70/125] lr: 9.5305e-04 eta: 1 day, 4:08:57 time: 0.6694 data_time: 0.0146 memory: 9483 loss_text: 0.7633 loss_center: 2.7896 loss_reg_x: 1.0155 loss_reg_y: 1.0197 loss: 5.5881 2022/08/26 00:01:41 - mmengine - INFO - Epoch(train) [79][75/125] lr: 9.5305e-04 eta: 1 day, 4:08:57 time: 0.6912 data_time: 0.0188 memory: 9483 loss_text: 0.7749 loss_center: 2.8083 loss_reg_x: 1.0842 loss_reg_y: 0.9640 loss: 5.6315 2022/08/26 00:01:43 - mmengine - INFO - Epoch(train) [79][80/125] lr: 9.5305e-04 eta: 1 day, 4:08:43 time: 0.5257 data_time: 0.0196 memory: 9483 loss_text: 0.7743 loss_center: 2.7863 loss_reg_x: 1.1298 loss_reg_y: 1.0421 loss: 5.7325 2022/08/26 00:01:46 - mmengine - INFO - Epoch(train) [79][85/125] lr: 9.5305e-04 eta: 1 day, 4:08:43 time: 0.4937 data_time: 0.0153 memory: 9483 loss_text: 0.8795 loss_center: 2.8052 loss_reg_x: 1.2820 loss_reg_y: 1.2092 loss: 6.1759 2022/08/26 00:01:50 - mmengine - INFO - Epoch(train) [79][90/125] lr: 9.5305e-04 eta: 1 day, 4:08:59 time: 0.6908 data_time: 0.0134 memory: 9483 loss_text: 0.8992 loss_center: 2.8114 loss_reg_x: 1.2380 loss_reg_y: 1.0457 loss: 5.9943 2022/08/26 00:01:53 - mmengine - INFO - Epoch(train) [79][95/125] lr: 9.5305e-04 eta: 1 day, 4:08:59 time: 0.7043 data_time: 0.0169 memory: 9483 loss_text: 0.8652 loss_center: 2.7932 loss_reg_x: 1.1554 loss_reg_y: 0.9969 loss: 5.8106 2022/08/26 00:01:55 - mmengine - INFO - Epoch(train) [79][100/125] lr: 9.5305e-04 eta: 1 day, 4:08:41 time: 0.5038 data_time: 0.0164 memory: 9483 loss_text: 0.8970 loss_center: 2.8039 loss_reg_x: 1.1365 loss_reg_y: 1.0973 loss: 5.9347 2022/08/26 00:01:58 - mmengine - INFO - Epoch(train) [79][105/125] lr: 9.5305e-04 eta: 1 day, 4:08:41 time: 0.5253 data_time: 0.0147 memory: 9483 loss_text: 0.8940 loss_center: 2.8336 loss_reg_x: 1.3420 loss_reg_y: 1.3045 loss: 6.3742 2022/08/26 00:02:00 - mmengine - INFO - Epoch(train) [79][110/125] lr: 9.5305e-04 eta: 1 day, 4:08:28 time: 0.5255 data_time: 0.0142 memory: 9483 loss_text: 0.8846 loss_center: 2.8524 loss_reg_x: 1.3965 loss_reg_y: 1.4025 loss: 6.5360 2022/08/26 00:02:03 - mmengine - INFO - Epoch(train) [79][115/125] lr: 9.5305e-04 eta: 1 day, 4:08:28 time: 0.5167 data_time: 0.0147 memory: 9483 loss_text: 0.8450 loss_center: 2.8324 loss_reg_x: 1.1055 loss_reg_y: 1.1928 loss: 5.9757 2022/08/26 00:02:06 - mmengine - INFO - Epoch(train) [79][120/125] lr: 9.5305e-04 eta: 1 day, 4:08:13 time: 0.5225 data_time: 0.0156 memory: 9483 loss_text: 0.7733 loss_center: 2.8111 loss_reg_x: 1.1134 loss_reg_y: 1.2547 loss: 5.9525 2022/08/26 00:02:09 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:02:09 - mmengine - INFO - Epoch(train) [79][125/125] lr: 9.5305e-04 eta: 1 day, 4:08:13 time: 0.6017 data_time: 0.0134 memory: 9483 loss_text: 0.7912 loss_center: 2.7987 loss_reg_x: 1.1774 loss_reg_y: 1.1209 loss: 5.8882 2022/08/26 00:02:13 - mmengine - INFO - Epoch(train) [80][5/125] lr: 9.5245e-04 eta: 1 day, 4:08:13 time: 0.6973 data_time: 0.1048 memory: 9483 loss_text: 0.8285 loss_center: 2.8034 loss_reg_x: 1.1965 loss_reg_y: 1.0965 loss: 5.9249 2022/08/26 00:02:15 - mmengine - INFO - Epoch(train) [80][10/125] lr: 9.5245e-04 eta: 1 day, 4:07:20 time: 0.6072 data_time: 0.1061 memory: 9483 loss_text: 0.8374 loss_center: 2.8313 loss_reg_x: 1.1989 loss_reg_y: 1.2841 loss: 6.1516 2022/08/26 00:02:18 - mmengine - INFO - Epoch(train) [80][15/125] lr: 9.5245e-04 eta: 1 day, 4:07:20 time: 0.5080 data_time: 0.0175 memory: 9483 loss_text: 0.8654 loss_center: 2.8362 loss_reg_x: 1.1946 loss_reg_y: 1.2777 loss: 6.1739 2022/08/26 00:02:20 - mmengine - INFO - Epoch(train) [80][20/125] lr: 9.5245e-04 eta: 1 day, 4:07:01 time: 0.4958 data_time: 0.0166 memory: 9483 loss_text: 0.7750 loss_center: 2.8045 loss_reg_x: 1.2591 loss_reg_y: 1.1738 loss: 6.0124 2022/08/26 00:02:23 - mmengine - INFO - Epoch(train) [80][25/125] lr: 9.5245e-04 eta: 1 day, 4:07:01 time: 0.5349 data_time: 0.0128 memory: 9483 loss_text: 0.7114 loss_center: 2.7916 loss_reg_x: 1.1495 loss_reg_y: 0.9568 loss: 5.6093 2022/08/26 00:02:26 - mmengine - INFO - Epoch(train) [80][30/125] lr: 9.5245e-04 eta: 1 day, 4:06:52 time: 0.5503 data_time: 0.0159 memory: 9483 loss_text: 0.7836 loss_center: 2.7943 loss_reg_x: 0.9599 loss_reg_y: 0.9080 loss: 5.4458 2022/08/26 00:02:30 - mmengine - INFO - Epoch(train) [80][35/125] lr: 9.5245e-04 eta: 1 day, 4:06:52 time: 0.6761 data_time: 0.0163 memory: 9483 loss_text: 0.8509 loss_center: 2.7877 loss_reg_x: 1.1158 loss_reg_y: 1.1162 loss: 5.8706 2022/08/26 00:02:32 - mmengine - INFO - Epoch(train) [80][40/125] lr: 9.5245e-04 eta: 1 day, 4:07:03 time: 0.6637 data_time: 0.0131 memory: 9483 loss_text: 0.8688 loss_center: 2.8097 loss_reg_x: 1.3249 loss_reg_y: 1.2597 loss: 6.2631 2022/08/26 00:02:35 - mmengine - INFO - Epoch(train) [80][45/125] lr: 9.5245e-04 eta: 1 day, 4:07:03 time: 0.5128 data_time: 0.0157 memory: 9483 loss_text: 0.7925 loss_center: 2.8117 loss_reg_x: 1.2995 loss_reg_y: 1.1483 loss: 6.0520 2022/08/26 00:02:38 - mmengine - INFO - Epoch(train) [80][50/125] lr: 9.5245e-04 eta: 1 day, 4:07:01 time: 0.5893 data_time: 0.0310 memory: 9483 loss_text: 0.7522 loss_center: 2.7825 loss_reg_x: 1.1141 loss_reg_y: 0.9537 loss: 5.6025 2022/08/26 00:02:41 - mmengine - INFO - Epoch(train) [80][55/125] lr: 9.5245e-04 eta: 1 day, 4:07:01 time: 0.5984 data_time: 0.0299 memory: 9483 loss_text: 0.8038 loss_center: 2.7968 loss_reg_x: 1.1872 loss_reg_y: 1.0545 loss: 5.8423 2022/08/26 00:02:43 - mmengine - INFO - Epoch(train) [80][60/125] lr: 9.5245e-04 eta: 1 day, 4:06:45 time: 0.5144 data_time: 0.0145 memory: 9483 loss_text: 0.9055 loss_center: 2.8388 loss_reg_x: 1.2951 loss_reg_y: 1.3244 loss: 6.3638 2022/08/26 00:02:46 - mmengine - INFO - Epoch(train) [80][65/125] lr: 9.5245e-04 eta: 1 day, 4:06:45 time: 0.4761 data_time: 0.0127 memory: 9483 loss_text: 0.8908 loss_center: 2.8348 loss_reg_x: 1.1286 loss_reg_y: 1.3609 loss: 6.2151 2022/08/26 00:02:48 - mmengine - INFO - Epoch(train) [80][70/125] lr: 9.5245e-04 eta: 1 day, 4:06:27 time: 0.4984 data_time: 0.0165 memory: 9483 loss_text: 0.7951 loss_center: 2.7977 loss_reg_x: 1.1101 loss_reg_y: 1.1771 loss: 5.8800 2022/08/26 00:02:51 - mmengine - INFO - Epoch(train) [80][75/125] lr: 9.5245e-04 eta: 1 day, 4:06:27 time: 0.5157 data_time: 0.0178 memory: 9483 loss_text: 0.8753 loss_center: 2.8016 loss_reg_x: 1.2834 loss_reg_y: 1.2504 loss: 6.2107 2022/08/26 00:02:53 - mmengine - INFO - Epoch(train) [80][80/125] lr: 9.5245e-04 eta: 1 day, 4:06:11 time: 0.5127 data_time: 0.0143 memory: 9483 loss_text: 0.8863 loss_center: 2.8024 loss_reg_x: 1.2225 loss_reg_y: 1.2400 loss: 6.1512 2022/08/26 00:02:56 - mmengine - INFO - Epoch(train) [80][85/125] lr: 9.5245e-04 eta: 1 day, 4:06:11 time: 0.5199 data_time: 0.0140 memory: 9483 loss_text: 0.8146 loss_center: 2.7962 loss_reg_x: 1.0392 loss_reg_y: 1.0599 loss: 5.7099 2022/08/26 00:03:01 - mmengine - INFO - Epoch(train) [80][90/125] lr: 9.5245e-04 eta: 1 day, 4:06:32 time: 0.7195 data_time: 0.0153 memory: 9483 loss_text: 0.8373 loss_center: 2.8002 loss_reg_x: 1.1816 loss_reg_y: 1.1706 loss: 5.9898 2022/08/26 00:03:03 - mmengine - INFO - Epoch(train) [80][95/125] lr: 9.5245e-04 eta: 1 day, 4:06:32 time: 0.7165 data_time: 0.0160 memory: 9483 loss_text: 0.8734 loss_center: 2.8101 loss_reg_x: 1.2731 loss_reg_y: 1.2578 loss: 6.2144 2022/08/26 00:03:06 - mmengine - INFO - Epoch(train) [80][100/125] lr: 9.5245e-04 eta: 1 day, 4:06:14 time: 0.5024 data_time: 0.0182 memory: 9483 loss_text: 0.8792 loss_center: 2.8331 loss_reg_x: 1.4283 loss_reg_y: 1.3911 loss: 6.5318 2022/08/26 00:03:09 - mmengine - INFO - Epoch(train) [80][105/125] lr: 9.5245e-04 eta: 1 day, 4:06:14 time: 0.6151 data_time: 0.0186 memory: 9483 loss_text: 0.8241 loss_center: 2.8165 loss_reg_x: 1.3698 loss_reg_y: 1.2292 loss: 6.2396 2022/08/26 00:03:12 - mmengine - INFO - Epoch(train) [80][110/125] lr: 9.5245e-04 eta: 1 day, 4:06:19 time: 0.6316 data_time: 0.0162 memory: 9483 loss_text: 0.8016 loss_center: 2.8227 loss_reg_x: 1.0879 loss_reg_y: 1.0691 loss: 5.7814 2022/08/26 00:03:15 - mmengine - INFO - Epoch(train) [80][115/125] lr: 9.5245e-04 eta: 1 day, 4:06:19 time: 0.5232 data_time: 0.0167 memory: 9483 loss_text: 0.8032 loss_center: 2.8354 loss_reg_x: 1.0975 loss_reg_y: 1.2408 loss: 5.9769 2022/08/26 00:03:17 - mmengine - INFO - Epoch(train) [80][120/125] lr: 9.5245e-04 eta: 1 day, 4:06:04 time: 0.5155 data_time: 0.0149 memory: 9483 loss_text: 0.8606 loss_center: 2.8002 loss_reg_x: 1.3266 loss_reg_y: 1.3920 loss: 6.3793 2022/08/26 00:03:20 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:03:20 - mmengine - INFO - Epoch(train) [80][125/125] lr: 9.5245e-04 eta: 1 day, 4:06:04 time: 0.4967 data_time: 0.0160 memory: 9483 loss_text: 0.9942 loss_center: 2.8108 loss_reg_x: 1.4368 loss_reg_y: 1.4590 loss: 6.7008 2022/08/26 00:03:20 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/26 00:03:28 - mmengine - INFO - Epoch(val) [80][5/500] eta: 1 day, 4:06:04 time: 0.1823 data_time: 0.0145 memory: 602 2022/08/26 00:03:29 - mmengine - INFO - Epoch(val) [80][10/500] eta: 0:01:50 time: 0.2265 data_time: 0.0057 memory: 602 2022/08/26 00:03:30 - mmengine - INFO - Epoch(val) [80][15/500] eta: 0:01:50 time: 0.2003 data_time: 0.0024 memory: 587 2022/08/26 00:03:31 - mmengine - INFO - Epoch(val) [80][20/500] eta: 0:01:25 time: 0.1782 data_time: 0.0019 memory: 602 2022/08/26 00:03:32 - mmengine - INFO - Epoch(val) [80][25/500] eta: 0:01:25 time: 0.1512 data_time: 0.0019 memory: 602 2022/08/26 00:03:33 - mmengine - INFO - Epoch(val) [80][30/500] eta: 0:01:09 time: 0.1473 data_time: 0.0018 memory: 602 2022/08/26 00:03:33 - mmengine - INFO - Epoch(val) [80][35/500] eta: 0:01:09 time: 0.1490 data_time: 0.0019 memory: 602 2022/08/26 00:03:34 - mmengine - INFO - Epoch(val) [80][40/500] eta: 0:01:03 time: 0.1377 data_time: 0.0018 memory: 602 2022/08/26 00:03:35 - mmengine - INFO - Epoch(val) [80][45/500] eta: 0:01:03 time: 0.1155 data_time: 0.0018 memory: 587 2022/08/26 00:03:35 - mmengine - INFO - Epoch(val) [80][50/500] eta: 0:00:59 time: 0.1321 data_time: 0.0017 memory: 587 2022/08/26 00:03:36 - mmengine - INFO - Epoch(val) [80][55/500] eta: 0:00:59 time: 0.1464 data_time: 0.0016 memory: 602 2022/08/26 00:03:38 - mmengine - INFO - Epoch(val) [80][60/500] eta: 0:01:43 time: 0.2346 data_time: 0.0126 memory: 602 2022/08/26 00:03:38 - mmengine - INFO - Epoch(val) [80][65/500] eta: 0:01:43 time: 0.2384 data_time: 0.0126 memory: 602 2022/08/26 00:03:40 - mmengine - INFO - Epoch(val) [80][70/500] eta: 0:01:23 time: 0.1937 data_time: 0.0016 memory: 602 2022/08/26 00:03:41 - mmengine - INFO - Epoch(val) [80][75/500] eta: 0:01:23 time: 0.2099 data_time: 0.0048 memory: 602 2022/08/26 00:03:41 - mmengine - INFO - Epoch(val) [80][80/500] eta: 0:00:59 time: 0.1406 data_time: 0.0048 memory: 602 2022/08/26 00:03:42 - mmengine - INFO - Epoch(val) [80][85/500] eta: 0:00:59 time: 0.1200 data_time: 0.0027 memory: 602 2022/08/26 00:03:42 - mmengine - INFO - Epoch(val) [80][90/500] eta: 0:00:56 time: 0.1373 data_time: 0.0029 memory: 587 2022/08/26 00:03:43 - mmengine - INFO - Epoch(val) [80][95/500] eta: 0:00:56 time: 0.1352 data_time: 0.0019 memory: 602 2022/08/26 00:03:44 - mmengine - INFO - Epoch(val) [80][100/500] eta: 0:00:46 time: 0.1168 data_time: 0.0016 memory: 602 2022/08/26 00:03:44 - mmengine - INFO - Epoch(val) [80][105/500] eta: 0:00:46 time: 0.1096 data_time: 0.0015 memory: 602 2022/08/26 00:03:45 - mmengine - INFO - Epoch(val) [80][110/500] eta: 0:00:44 time: 0.1139 data_time: 0.0016 memory: 602 2022/08/26 00:03:45 - mmengine - INFO - Epoch(val) [80][115/500] eta: 0:00:44 time: 0.1138 data_time: 0.0016 memory: 602 2022/08/26 00:03:46 - mmengine - INFO - Epoch(val) [80][120/500] eta: 0:00:49 time: 0.1300 data_time: 0.0016 memory: 602 2022/08/26 00:03:47 - mmengine - INFO - Epoch(val) [80][125/500] eta: 0:00:49 time: 0.2003 data_time: 0.0016 memory: 602 2022/08/26 00:03:48 - mmengine - INFO - Epoch(val) [80][130/500] eta: 0:01:09 time: 0.1865 data_time: 0.0017 memory: 602 2022/08/26 00:03:49 - mmengine - INFO - Epoch(val) [80][135/500] eta: 0:01:09 time: 0.1372 data_time: 0.0018 memory: 602 2022/08/26 00:03:49 - mmengine - INFO - Epoch(val) [80][140/500] eta: 0:00:57 time: 0.1587 data_time: 0.0022 memory: 587 2022/08/26 00:03:50 - mmengine - INFO - Epoch(val) [80][145/500] eta: 0:00:57 time: 0.1262 data_time: 0.0021 memory: 602 2022/08/26 00:03:51 - mmengine - INFO - Epoch(val) [80][150/500] eta: 0:00:38 time: 0.1108 data_time: 0.0016 memory: 587 2022/08/26 00:03:51 - mmengine - INFO - Epoch(val) [80][155/500] eta: 0:00:38 time: 0.1283 data_time: 0.0016 memory: 602 2022/08/26 00:03:52 - mmengine - INFO - Epoch(val) [80][160/500] eta: 0:00:37 time: 0.1109 data_time: 0.0016 memory: 602 2022/08/26 00:03:53 - mmengine - INFO - Epoch(val) [80][165/500] eta: 0:00:37 time: 0.1301 data_time: 0.0081 memory: 602 2022/08/26 00:03:53 - mmengine - INFO - Epoch(val) [80][170/500] eta: 0:00:49 time: 0.1496 data_time: 0.0082 memory: 587 2022/08/26 00:03:54 - mmengine - INFO - Epoch(val) [80][175/500] eta: 0:00:49 time: 0.1038 data_time: 0.0017 memory: 602 2022/08/26 00:03:54 - mmengine - INFO - Epoch(val) [80][180/500] eta: 0:00:35 time: 0.1120 data_time: 0.0016 memory: 602 2022/08/26 00:03:55 - mmengine - INFO - Epoch(val) [80][185/500] eta: 0:00:35 time: 0.1305 data_time: 0.0016 memory: 602 2022/08/26 00:03:56 - mmengine - INFO - Epoch(val) [80][190/500] eta: 0:00:37 time: 0.1214 data_time: 0.0016 memory: 602 2022/08/26 00:03:56 - mmengine - INFO - Epoch(val) [80][195/500] eta: 0:00:37 time: 0.1154 data_time: 0.0016 memory: 602 2022/08/26 00:03:57 - mmengine - INFO - Epoch(val) [80][200/500] eta: 0:00:52 time: 0.1757 data_time: 0.0023 memory: 602 2022/08/26 00:03:59 - mmengine - INFO - Epoch(val) [80][205/500] eta: 0:00:52 time: 0.3046 data_time: 0.0267 memory: 602 2022/08/26 00:04:00 - mmengine - INFO - Epoch(val) [80][210/500] eta: 0:01:14 time: 0.2558 data_time: 0.0260 memory: 602 2022/08/26 00:04:00 - mmengine - INFO - Epoch(val) [80][215/500] eta: 0:01:14 time: 0.1255 data_time: 0.0016 memory: 602 2022/08/26 00:04:01 - mmengine - INFO - Epoch(val) [80][220/500] eta: 0:00:30 time: 0.1104 data_time: 0.0016 memory: 587 2022/08/26 00:04:01 - mmengine - INFO - Epoch(val) [80][225/500] eta: 0:00:30 time: 0.1120 data_time: 0.0016 memory: 602 2022/08/26 00:04:03 - mmengine - INFO - Epoch(val) [80][230/500] eta: 0:00:44 time: 0.1659 data_time: 0.0017 memory: 602 2022/08/26 00:04:03 - mmengine - INFO - Epoch(val) [80][235/500] eta: 0:00:44 time: 0.1868 data_time: 0.0059 memory: 602 2022/08/26 00:04:04 - mmengine - INFO - Epoch(val) [80][240/500] eta: 0:00:34 time: 0.1323 data_time: 0.0059 memory: 602 2022/08/26 00:04:05 - mmengine - INFO - Epoch(val) [80][245/500] eta: 0:00:34 time: 0.1306 data_time: 0.0017 memory: 597 2022/08/26 00:04:05 - mmengine - INFO - Epoch(val) [80][250/500] eta: 0:00:31 time: 0.1240 data_time: 0.0016 memory: 602 2022/08/26 00:04:07 - mmengine - INFO - Epoch(val) [80][255/500] eta: 0:00:31 time: 0.2030 data_time: 0.0017 memory: 602 2022/08/26 00:04:07 - mmengine - INFO - Epoch(val) [80][260/500] eta: 0:00:48 time: 0.2019 data_time: 0.0018 memory: 602 2022/08/26 00:04:08 - mmengine - INFO - Epoch(val) [80][265/500] eta: 0:00:48 time: 0.1126 data_time: 0.0019 memory: 587 2022/08/26 00:04:08 - mmengine - INFO - Epoch(val) [80][270/500] eta: 0:00:27 time: 0.1210 data_time: 0.0017 memory: 602 2022/08/26 00:04:09 - mmengine - INFO - Epoch(val) [80][275/500] eta: 0:00:27 time: 0.1418 data_time: 0.0016 memory: 602 2022/08/26 00:04:10 - mmengine - INFO - Epoch(val) [80][280/500] eta: 0:00:26 time: 0.1207 data_time: 0.0016 memory: 592 2022/08/26 00:04:10 - mmengine - INFO - Epoch(val) [80][285/500] eta: 0:00:26 time: 0.0887 data_time: 0.0015 memory: 597 2022/08/26 00:04:11 - mmengine - INFO - Epoch(val) [80][290/500] eta: 0:00:23 time: 0.1116 data_time: 0.0016 memory: 587 2022/08/26 00:04:11 - mmengine - INFO - Epoch(val) [80][295/500] eta: 0:00:23 time: 0.1202 data_time: 0.0016 memory: 602 2022/08/26 00:04:12 - mmengine - INFO - Epoch(val) [80][300/500] eta: 0:00:22 time: 0.1107 data_time: 0.0017 memory: 602 2022/08/26 00:04:12 - mmengine - INFO - Epoch(val) [80][305/500] eta: 0:00:22 time: 0.0874 data_time: 0.0018 memory: 602 2022/08/26 00:04:13 - mmengine - INFO - Epoch(val) [80][310/500] eta: 0:00:16 time: 0.0870 data_time: 0.0017 memory: 602 2022/08/26 00:04:13 - mmengine - INFO - Epoch(val) [80][315/500] eta: 0:00:16 time: 0.1230 data_time: 0.0016 memory: 602 2022/08/26 00:04:14 - mmengine - INFO - Epoch(val) [80][320/500] eta: 0:00:23 time: 0.1316 data_time: 0.0017 memory: 602 2022/08/26 00:04:15 - mmengine - INFO - Epoch(val) [80][325/500] eta: 0:00:23 time: 0.1200 data_time: 0.0017 memory: 602 2022/08/26 00:04:15 - mmengine - INFO - Epoch(val) [80][330/500] eta: 0:00:20 time: 0.1233 data_time: 0.0019 memory: 602 2022/08/26 00:04:16 - mmengine - INFO - Epoch(val) [80][335/500] eta: 0:00:20 time: 0.1451 data_time: 0.0019 memory: 602 2022/08/26 00:04:18 - mmengine - INFO - Epoch(val) [80][340/500] eta: 0:00:35 time: 0.2247 data_time: 0.0018 memory: 602 2022/08/26 00:04:20 - mmengine - INFO - Epoch(val) [80][345/500] eta: 0:00:35 time: 0.4207 data_time: 0.0204 memory: 602 2022/08/26 00:04:21 - mmengine - INFO - Epoch(val) [80][350/500] eta: 0:00:52 time: 0.3467 data_time: 0.0203 memory: 602 2022/08/26 00:04:22 - mmengine - INFO - Epoch(val) [80][355/500] eta: 0:00:52 time: 0.1763 data_time: 0.0017 memory: 594 2022/08/26 00:04:23 - mmengine - INFO - Epoch(val) [80][360/500] eta: 0:00:22 time: 0.1579 data_time: 0.0019 memory: 602 2022/08/26 00:04:23 - mmengine - INFO - Epoch(val) [80][365/500] eta: 0:00:22 time: 0.1176 data_time: 0.0018 memory: 602 2022/08/26 00:04:24 - mmengine - INFO - Epoch(val) [80][370/500] eta: 0:00:15 time: 0.1221 data_time: 0.0018 memory: 602 2022/08/26 00:04:24 - mmengine - INFO - Epoch(val) [80][375/500] eta: 0:00:15 time: 0.0960 data_time: 0.0017 memory: 587 2022/08/26 00:04:25 - mmengine - INFO - Epoch(val) [80][380/500] eta: 0:00:12 time: 0.1074 data_time: 0.0015 memory: 602 2022/08/26 00:04:25 - mmengine - INFO - Epoch(val) [80][385/500] eta: 0:00:12 time: 0.1155 data_time: 0.0018 memory: 602 2022/08/26 00:04:26 - mmengine - INFO - Epoch(val) [80][390/500] eta: 0:00:13 time: 0.1234 data_time: 0.0018 memory: 602 2022/08/26 00:04:27 - mmengine - INFO - Epoch(val) [80][395/500] eta: 0:00:13 time: 0.1883 data_time: 0.0027 memory: 602 2022/08/26 00:04:28 - mmengine - INFO - Epoch(val) [80][400/500] eta: 0:00:19 time: 0.1980 data_time: 0.0053 memory: 602 2022/08/26 00:04:29 - mmengine - INFO - Epoch(val) [80][405/500] eta: 0:00:19 time: 0.1290 data_time: 0.0042 memory: 602 2022/08/26 00:04:29 - mmengine - INFO - Epoch(val) [80][410/500] eta: 0:00:09 time: 0.1077 data_time: 0.0015 memory: 602 2022/08/26 00:04:30 - mmengine - INFO - Epoch(val) [80][415/500] eta: 0:00:09 time: 0.1510 data_time: 0.0016 memory: 602 2022/08/26 00:04:31 - mmengine - INFO - Epoch(val) [80][420/500] eta: 0:00:12 time: 0.1609 data_time: 0.0017 memory: 602 2022/08/26 00:04:32 - mmengine - INFO - Epoch(val) [80][425/500] eta: 0:00:12 time: 0.1475 data_time: 0.0017 memory: 602 2022/08/26 00:04:32 - mmengine - INFO - Epoch(val) [80][430/500] eta: 0:00:09 time: 0.1318 data_time: 0.0017 memory: 602 2022/08/26 00:04:33 - mmengine - INFO - Epoch(val) [80][435/500] eta: 0:00:09 time: 0.1244 data_time: 0.0016 memory: 597 2022/08/26 00:04:34 - mmengine - INFO - Epoch(val) [80][440/500] eta: 0:00:08 time: 0.1454 data_time: 0.0016 memory: 602 2022/08/26 00:04:34 - mmengine - INFO - Epoch(val) [80][445/500] eta: 0:00:08 time: 0.1268 data_time: 0.0016 memory: 602 2022/08/26 00:04:35 - mmengine - INFO - Epoch(val) [80][450/500] eta: 0:00:04 time: 0.0981 data_time: 0.0015 memory: 602 2022/08/26 00:04:35 - mmengine - INFO - Epoch(val) [80][455/500] eta: 0:00:04 time: 0.1419 data_time: 0.0019 memory: 602 2022/08/26 00:04:36 - mmengine - INFO - Epoch(val) [80][460/500] eta: 0:00:06 time: 0.1537 data_time: 0.0020 memory: 597 2022/08/26 00:04:37 - mmengine - INFO - Epoch(val) [80][465/500] eta: 0:00:06 time: 0.1290 data_time: 0.0017 memory: 602 2022/08/26 00:04:39 - mmengine - INFO - Epoch(val) [80][470/500] eta: 0:00:07 time: 0.2611 data_time: 0.0017 memory: 602 2022/08/26 00:04:39 - mmengine - INFO - Epoch(val) [80][475/500] eta: 0:00:07 time: 0.2543 data_time: 0.0041 memory: 602 2022/08/26 00:04:40 - mmengine - INFO - Epoch(val) [80][480/500] eta: 0:00:02 time: 0.1077 data_time: 0.0039 memory: 587 2022/08/26 00:04:40 - mmengine - INFO - Epoch(val) [80][485/500] eta: 0:00:02 time: 0.1056 data_time: 0.0016 memory: 602 2022/08/26 00:04:41 - mmengine - INFO - Epoch(val) [80][490/500] eta: 0:00:01 time: 0.1067 data_time: 0.0016 memory: 602 2022/08/26 00:04:41 - mmengine - INFO - Epoch(val) [80][495/500] eta: 0:00:01 time: 0.1111 data_time: 0.0016 memory: 587 2022/08/26 00:04:42 - mmengine - INFO - Epoch(val) [80][500/500] eta: 0:00:00 time: 0.1158 data_time: 0.0016 memory: 587 2022/08/26 00:04:42 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 00:04:42 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7141, precision: 0.6156, hmean: 0.6612 2022/08/26 00:04:42 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7102, precision: 0.6418, hmean: 0.6743 2022/08/26 00:04:42 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7060, precision: 0.6696, hmean: 0.6874 2022/08/26 00:04:42 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.6998, precision: 0.6904, hmean: 0.6951 2022/08/26 00:04:42 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6894, precision: 0.7143, hmean: 0.7016 2022/08/26 00:04:42 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.6689, precision: 0.7415, hmean: 0.7034 2022/08/26 00:04:42 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6218, precision: 0.7914, hmean: 0.6964 2022/08/26 00:04:42 - mmengine - INFO - Epoch(val) [80][500/500] icdar/precision: 0.7415 icdar/recall: 0.6689 icdar/hmean: 0.7034 2022/08/26 00:04:45 - mmengine - INFO - Epoch(train) [81][5/125] lr: 9.5184e-04 eta: 0:00:00 time: 0.5866 data_time: 0.0959 memory: 9483 loss_text: 0.9933 loss_center: 2.8305 loss_reg_x: 1.3778 loss_reg_y: 1.4424 loss: 6.6440 2022/08/26 00:04:48 - mmengine - INFO - Epoch(train) [81][10/125] lr: 9.5184e-04 eta: 1 day, 4:05:07 time: 0.5804 data_time: 0.0911 memory: 9483 loss_text: 0.9389 loss_center: 2.8024 loss_reg_x: 1.2290 loss_reg_y: 1.1708 loss: 6.1411 2022/08/26 00:04:50 - mmengine - INFO - Epoch(train) [81][15/125] lr: 9.5184e-04 eta: 1 day, 4:05:07 time: 0.4754 data_time: 0.0111 memory: 9483 loss_text: 1.0224 loss_center: 2.8021 loss_reg_x: 1.3668 loss_reg_y: 1.1841 loss: 6.3754 2022/08/26 00:04:53 - mmengine - INFO - Epoch(train) [81][20/125] lr: 9.5184e-04 eta: 1 day, 4:04:45 time: 0.4786 data_time: 0.0121 memory: 9483 loss_text: 0.9963 loss_center: 2.8168 loss_reg_x: 1.4474 loss_reg_y: 1.4740 loss: 6.7345 2022/08/26 00:04:55 - mmengine - INFO - Epoch(train) [81][25/125] lr: 9.5184e-04 eta: 1 day, 4:04:45 time: 0.4932 data_time: 0.0156 memory: 9483 loss_text: 0.8621 loss_center: 2.8131 loss_reg_x: 1.3587 loss_reg_y: 1.2971 loss: 6.3310 2022/08/26 00:05:01 - mmengine - INFO - Epoch(train) [81][30/125] lr: 9.5184e-04 eta: 1 day, 4:05:30 time: 0.8541 data_time: 0.0178 memory: 9483 loss_text: 0.8065 loss_center: 2.7778 loss_reg_x: 1.3836 loss_reg_y: 1.0525 loss: 6.0205 2022/08/26 00:05:04 - mmengine - INFO - Epoch(train) [81][35/125] lr: 9.5184e-04 eta: 1 day, 4:05:30 time: 0.8510 data_time: 0.0200 memory: 9483 loss_text: 0.8278 loss_center: 2.7835 loss_reg_x: 1.4613 loss_reg_y: 1.4704 loss: 6.5430 2022/08/26 00:05:06 - mmengine - INFO - Epoch(train) [81][40/125] lr: 9.5184e-04 eta: 1 day, 4:05:13 time: 0.5106 data_time: 0.0207 memory: 9483 loss_text: 0.8244 loss_center: 2.8212 loss_reg_x: 1.5286 loss_reg_y: 1.5761 loss: 6.7503 2022/08/26 00:05:09 - mmengine - INFO - Epoch(train) [81][45/125] lr: 9.5184e-04 eta: 1 day, 4:05:13 time: 0.5116 data_time: 0.0150 memory: 9483 loss_text: 0.7960 loss_center: 2.8289 loss_reg_x: 1.4657 loss_reg_y: 1.1633 loss: 6.2540 2022/08/26 00:05:11 - mmengine - INFO - Epoch(train) [81][50/125] lr: 9.5184e-04 eta: 1 day, 4:04:54 time: 0.4924 data_time: 0.0124 memory: 9483 loss_text: 0.8998 loss_center: 2.8263 loss_reg_x: 1.4087 loss_reg_y: 1.1223 loss: 6.2571 2022/08/26 00:05:14 - mmengine - INFO - Epoch(train) [81][55/125] lr: 9.5184e-04 eta: 1 day, 4:04:54 time: 0.5061 data_time: 0.0132 memory: 9483 loss_text: 0.8752 loss_center: 2.8056 loss_reg_x: 1.5348 loss_reg_y: 1.3445 loss: 6.5601 2022/08/26 00:05:16 - mmengine - INFO - Epoch(train) [81][60/125] lr: 9.5184e-04 eta: 1 day, 4:04:41 time: 0.5256 data_time: 0.0160 memory: 9483 loss_text: 0.8398 loss_center: 2.7813 loss_reg_x: 1.4443 loss_reg_y: 1.3606 loss: 6.4260 2022/08/26 00:05:20 - mmengine - INFO - Epoch(train) [81][65/125] lr: 9.5184e-04 eta: 1 day, 4:04:41 time: 0.6298 data_time: 0.0164 memory: 9483 loss_text: 0.9750 loss_center: 2.7972 loss_reg_x: 1.4231 loss_reg_y: 1.4155 loss: 6.6108 2022/08/26 00:05:23 - mmengine - INFO - Epoch(train) [81][70/125] lr: 9.5184e-04 eta: 1 day, 4:04:43 time: 0.6182 data_time: 0.0143 memory: 9483 loss_text: 0.9513 loss_center: 2.8191 loss_reg_x: 1.8028 loss_reg_y: 1.5975 loss: 7.1708 2022/08/26 00:05:25 - mmengine - INFO - Epoch(train) [81][75/125] lr: 9.5184e-04 eta: 1 day, 4:04:43 time: 0.4948 data_time: 0.0141 memory: 9483 loss_text: 0.8463 loss_center: 2.8153 loss_reg_x: 1.7026 loss_reg_y: 1.4738 loss: 6.8380 2022/08/26 00:05:28 - mmengine - INFO - Epoch(train) [81][80/125] lr: 9.5184e-04 eta: 1 day, 4:04:30 time: 0.5241 data_time: 0.0193 memory: 9483 loss_text: 0.8505 loss_center: 2.8235 loss_reg_x: 1.6332 loss_reg_y: 1.5460 loss: 6.8533 2022/08/26 00:05:30 - mmengine - INFO - Epoch(train) [81][85/125] lr: 9.5184e-04 eta: 1 day, 4:04:30 time: 0.5333 data_time: 0.0194 memory: 9483 loss_text: 0.8495 loss_center: 2.8316 loss_reg_x: 1.5422 loss_reg_y: 1.5830 loss: 6.8063 2022/08/26 00:05:33 - mmengine - INFO - Epoch(train) [81][90/125] lr: 9.5184e-04 eta: 1 day, 4:04:14 time: 0.5140 data_time: 0.0132 memory: 9483 loss_text: 0.9525 loss_center: 2.8267 loss_reg_x: 1.6028 loss_reg_y: 1.4890 loss: 6.8710 2022/08/26 00:05:35 - mmengine - INFO - Epoch(train) [81][95/125] lr: 9.5184e-04 eta: 1 day, 4:04:14 time: 0.4847 data_time: 0.0123 memory: 9483 loss_text: 1.0501 loss_center: 2.8435 loss_reg_x: 1.7117 loss_reg_y: 1.5527 loss: 7.1580 2022/08/26 00:05:40 - mmengine - INFO - Epoch(train) [81][100/125] lr: 9.5184e-04 eta: 1 day, 4:04:26 time: 0.6690 data_time: 0.0165 memory: 9483 loss_text: 0.9023 loss_center: 2.8238 loss_reg_x: 1.3947 loss_reg_y: 1.4744 loss: 6.5952 2022/08/26 00:05:42 - mmengine - INFO - Epoch(train) [81][105/125] lr: 9.5184e-04 eta: 1 day, 4:04:26 time: 0.6769 data_time: 0.0196 memory: 9483 loss_text: 0.8048 loss_center: 2.8116 loss_reg_x: 1.3633 loss_reg_y: 1.5222 loss: 6.5019 2022/08/26 00:05:44 - mmengine - INFO - Epoch(train) [81][110/125] lr: 9.5184e-04 eta: 1 day, 4:04:03 time: 0.4740 data_time: 0.0155 memory: 9483 loss_text: 0.8314 loss_center: 2.8373 loss_reg_x: 1.3494 loss_reg_y: 1.4683 loss: 6.4863 2022/08/26 00:05:47 - mmengine - INFO - Epoch(train) [81][115/125] lr: 9.5184e-04 eta: 1 day, 4:04:03 time: 0.5218 data_time: 0.0122 memory: 9483 loss_text: 0.8125 loss_center: 2.8138 loss_reg_x: 1.0658 loss_reg_y: 1.2026 loss: 5.8948 2022/08/26 00:05:50 - mmengine - INFO - Epoch(train) [81][120/125] lr: 9.5184e-04 eta: 1 day, 4:03:57 time: 0.5631 data_time: 0.0271 memory: 9483 loss_text: 0.8316 loss_center: 2.8054 loss_reg_x: 1.1444 loss_reg_y: 1.1864 loss: 5.9678 2022/08/26 00:05:53 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:05:53 - mmengine - INFO - Epoch(train) [81][125/125] lr: 9.5184e-04 eta: 1 day, 4:03:57 time: 0.5561 data_time: 0.0282 memory: 9483 loss_text: 0.8332 loss_center: 2.8166 loss_reg_x: 1.3030 loss_reg_y: 1.1101 loss: 6.0629 2022/08/26 00:05:56 - mmengine - INFO - Epoch(train) [82][5/125] lr: 9.5124e-04 eta: 1 day, 4:03:57 time: 0.5949 data_time: 0.0756 memory: 9483 loss_text: 0.8888 loss_center: 2.8179 loss_reg_x: 1.4494 loss_reg_y: 0.9795 loss: 6.1356 2022/08/26 00:05:59 - mmengine - INFO - Epoch(train) [82][10/125] lr: 9.5124e-04 eta: 1 day, 4:03:06 time: 0.6115 data_time: 0.0915 memory: 9483 loss_text: 0.9473 loss_center: 2.8197 loss_reg_x: 1.5290 loss_reg_y: 1.1094 loss: 6.4054 2022/08/26 00:06:02 - mmengine - INFO - Epoch(train) [82][15/125] lr: 9.5124e-04 eta: 1 day, 4:03:06 time: 0.5542 data_time: 0.0320 memory: 9483 loss_text: 0.9237 loss_center: 2.8170 loss_reg_x: 1.3778 loss_reg_y: 1.1966 loss: 6.3151 2022/08/26 00:06:04 - mmengine - INFO - Epoch(train) [82][20/125] lr: 9.5124e-04 eta: 1 day, 4:02:49 time: 0.5071 data_time: 0.0153 memory: 9483 loss_text: 0.8816 loss_center: 2.8011 loss_reg_x: 1.2910 loss_reg_y: 1.0489 loss: 6.0226 2022/08/26 00:06:07 - mmengine - INFO - Epoch(train) [82][25/125] lr: 9.5124e-04 eta: 1 day, 4:02:49 time: 0.4842 data_time: 0.0124 memory: 9483 loss_text: 0.9167 loss_center: 2.8188 loss_reg_x: 1.2908 loss_reg_y: 1.3543 loss: 6.3806 2022/08/26 00:06:10 - mmengine - INFO - Epoch(train) [82][30/125] lr: 9.5124e-04 eta: 1 day, 4:02:53 time: 0.6254 data_time: 0.0169 memory: 9483 loss_text: 0.9634 loss_center: 2.8311 loss_reg_x: 1.2905 loss_reg_y: 1.6302 loss: 6.7153 2022/08/26 00:06:13 - mmengine - INFO - Epoch(train) [82][35/125] lr: 9.5124e-04 eta: 1 day, 4:02:53 time: 0.6383 data_time: 0.0203 memory: 9483 loss_text: 0.9243 loss_center: 2.8261 loss_reg_x: 1.3636 loss_reg_y: 1.4761 loss: 6.5901 2022/08/26 00:06:15 - mmengine - INFO - Epoch(train) [82][40/125] lr: 9.5124e-04 eta: 1 day, 4:02:36 time: 0.5060 data_time: 0.0156 memory: 9483 loss_text: 0.9299 loss_center: 2.8192 loss_reg_x: 1.5558 loss_reg_y: 1.3828 loss: 6.6877 2022/08/26 00:06:19 - mmengine - INFO - Epoch(train) [82][45/125] lr: 9.5124e-04 eta: 1 day, 4:02:36 time: 0.5663 data_time: 0.0132 memory: 9483 loss_text: 0.8740 loss_center: 2.8238 loss_reg_x: 1.6409 loss_reg_y: 1.4615 loss: 6.8002 2022/08/26 00:06:22 - mmengine - INFO - Epoch(train) [82][50/125] lr: 9.5124e-04 eta: 1 day, 4:02:38 time: 0.6139 data_time: 0.0143 memory: 9483 loss_text: 0.8718 loss_center: 2.8161 loss_reg_x: 1.8182 loss_reg_y: 1.6144 loss: 7.1205 2022/08/26 00:06:24 - mmengine - INFO - Epoch(train) [82][55/125] lr: 9.5124e-04 eta: 1 day, 4:02:38 time: 0.5655 data_time: 0.0163 memory: 9483 loss_text: 0.9156 loss_center: 2.8077 loss_reg_x: 1.6910 loss_reg_y: 1.4431 loss: 6.8574 2022/08/26 00:06:27 - mmengine - INFO - Epoch(train) [82][60/125] lr: 9.5124e-04 eta: 1 day, 4:02:23 time: 0.5109 data_time: 0.0159 memory: 9483 loss_text: 0.9216 loss_center: 2.8341 loss_reg_x: 1.2835 loss_reg_y: 1.2426 loss: 6.2819 2022/08/26 00:06:30 - mmengine - INFO - Epoch(train) [82][65/125] lr: 9.5124e-04 eta: 1 day, 4:02:23 time: 0.6016 data_time: 0.0131 memory: 9483 loss_text: 0.9291 loss_center: 2.8354 loss_reg_x: 1.5812 loss_reg_y: 1.4940 loss: 6.8398 2022/08/26 00:06:33 - mmengine - INFO - Epoch(train) [82][70/125] lr: 9.5124e-04 eta: 1 day, 4:02:31 time: 0.6491 data_time: 0.0130 memory: 9483 loss_text: 0.8928 loss_center: 2.8131 loss_reg_x: 1.7292 loss_reg_y: 1.6539 loss: 7.0890 2022/08/26 00:06:36 - mmengine - INFO - Epoch(train) [82][75/125] lr: 9.5124e-04 eta: 1 day, 4:02:31 time: 0.5427 data_time: 0.0153 memory: 9483 loss_text: 0.8639 loss_center: 2.7892 loss_reg_x: 1.2067 loss_reg_y: 1.2353 loss: 6.0951 2022/08/26 00:06:38 - mmengine - INFO - Epoch(train) [82][80/125] lr: 9.5124e-04 eta: 1 day, 4:02:16 time: 0.5199 data_time: 0.0304 memory: 9483 loss_text: 0.8366 loss_center: 2.8024 loss_reg_x: 1.2068 loss_reg_y: 1.2408 loss: 6.0866 2022/08/26 00:06:41 - mmengine - INFO - Epoch(train) [82][85/125] lr: 9.5124e-04 eta: 1 day, 4:02:16 time: 0.5317 data_time: 0.0280 memory: 9483 loss_text: 0.7915 loss_center: 2.8068 loss_reg_x: 1.2537 loss_reg_y: 1.2657 loss: 6.1177 2022/08/26 00:06:44 - mmengine - INFO - Epoch(train) [82][90/125] lr: 9.5124e-04 eta: 1 day, 4:02:05 time: 0.5352 data_time: 0.0125 memory: 9483 loss_text: 0.7263 loss_center: 2.7940 loss_reg_x: 1.0164 loss_reg_y: 0.9573 loss: 5.4940 2022/08/26 00:06:46 - mmengine - INFO - Epoch(train) [82][95/125] lr: 9.5124e-04 eta: 1 day, 4:02:05 time: 0.5377 data_time: 0.0166 memory: 9483 loss_text: 0.7285 loss_center: 2.8141 loss_reg_x: 0.9460 loss_reg_y: 0.9831 loss: 5.4717 2022/08/26 00:06:51 - mmengine - INFO - Epoch(train) [82][100/125] lr: 9.5124e-04 eta: 1 day, 4:02:27 time: 0.7288 data_time: 0.0206 memory: 9483 loss_text: 0.7614 loss_center: 2.8240 loss_reg_x: 1.0318 loss_reg_y: 1.1507 loss: 5.7680 2022/08/26 00:06:53 - mmengine - INFO - Epoch(train) [82][105/125] lr: 9.5124e-04 eta: 1 day, 4:02:27 time: 0.7089 data_time: 0.0165 memory: 9483 loss_text: 0.7514 loss_center: 2.8000 loss_reg_x: 1.2092 loss_reg_y: 1.2232 loss: 5.9839 2022/08/26 00:06:56 - mmengine - INFO - Epoch(train) [82][110/125] lr: 9.5124e-04 eta: 1 day, 4:02:09 time: 0.4968 data_time: 0.0152 memory: 9483 loss_text: 0.9016 loss_center: 2.8010 loss_reg_x: 1.3271 loss_reg_y: 1.2510 loss: 6.2808 2022/08/26 00:06:59 - mmengine - INFO - Epoch(train) [82][115/125] lr: 9.5124e-04 eta: 1 day, 4:02:09 time: 0.5715 data_time: 0.0390 memory: 9483 loss_text: 0.8641 loss_center: 2.8023 loss_reg_x: 1.1511 loss_reg_y: 1.1912 loss: 6.0086 2022/08/26 00:07:02 - mmengine - INFO - Epoch(train) [82][120/125] lr: 9.5124e-04 eta: 1 day, 4:02:03 time: 0.5679 data_time: 0.0373 memory: 9483 loss_text: 0.7037 loss_center: 2.8108 loss_reg_x: 0.9696 loss_reg_y: 1.0735 loss: 5.5576 2022/08/26 00:07:04 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:07:04 - mmengine - INFO - Epoch(train) [82][125/125] lr: 9.5124e-04 eta: 1 day, 4:02:03 time: 0.4979 data_time: 0.0135 memory: 9483 loss_text: 0.7388 loss_center: 2.8245 loss_reg_x: 1.1114 loss_reg_y: 1.1022 loss: 5.7769 2022/08/26 00:07:07 - mmengine - INFO - Epoch(train) [83][5/125] lr: 9.5063e-04 eta: 1 day, 4:02:03 time: 0.5587 data_time: 0.0768 memory: 9483 loss_text: 0.7587 loss_center: 2.7982 loss_reg_x: 1.2501 loss_reg_y: 1.2541 loss: 6.0610 2022/08/26 00:07:10 - mmengine - INFO - Epoch(train) [83][10/125] lr: 9.5063e-04 eta: 1 day, 4:01:08 time: 0.5886 data_time: 0.0790 memory: 9483 loss_text: 0.8078 loss_center: 2.8117 loss_reg_x: 1.3717 loss_reg_y: 1.3173 loss: 6.3085 2022/08/26 00:07:13 - mmengine - INFO - Epoch(train) [83][15/125] lr: 9.5063e-04 eta: 1 day, 4:01:08 time: 0.5305 data_time: 0.0149 memory: 9483 loss_text: 0.8034 loss_center: 2.8292 loss_reg_x: 1.2979 loss_reg_y: 1.0873 loss: 6.0178 2022/08/26 00:07:15 - mmengine - INFO - Epoch(train) [83][20/125] lr: 9.5063e-04 eta: 1 day, 4:00:51 time: 0.5014 data_time: 0.0130 memory: 9483 loss_text: 0.8593 loss_center: 2.8322 loss_reg_x: 1.4180 loss_reg_y: 1.2380 loss: 6.3476 2022/08/26 00:07:19 - mmengine - INFO - Epoch(train) [83][25/125] lr: 9.5063e-04 eta: 1 day, 4:00:51 time: 0.6736 data_time: 0.0986 memory: 9483 loss_text: 0.9003 loss_center: 2.8295 loss_reg_x: 1.4759 loss_reg_y: 1.2994 loss: 6.5050 2022/08/26 00:07:22 - mmengine - INFO - Epoch(train) [83][30/125] lr: 9.5063e-04 eta: 1 day, 4:01:05 time: 0.6845 data_time: 0.1011 memory: 9483 loss_text: 0.8349 loss_center: 2.8128 loss_reg_x: 1.1771 loss_reg_y: 1.1156 loss: 5.9403 2022/08/26 00:07:25 - mmengine - INFO - Epoch(train) [83][35/125] lr: 9.5063e-04 eta: 1 day, 4:01:05 time: 0.5343 data_time: 0.0157 memory: 9483 loss_text: 0.8084 loss_center: 2.8051 loss_reg_x: 1.3202 loss_reg_y: 1.3427 loss: 6.2763 2022/08/26 00:07:28 - mmengine - INFO - Epoch(train) [83][40/125] lr: 9.5063e-04 eta: 1 day, 4:00:59 time: 0.5663 data_time: 0.0139 memory: 9483 loss_text: 0.7483 loss_center: 2.7905 loss_reg_x: 1.3553 loss_reg_y: 1.3257 loss: 6.2199 2022/08/26 00:07:30 - mmengine - INFO - Epoch(train) [83][45/125] lr: 9.5063e-04 eta: 1 day, 4:00:59 time: 0.5622 data_time: 0.0138 memory: 9483 loss_text: 0.6618 loss_center: 2.7797 loss_reg_x: 1.0427 loss_reg_y: 1.0250 loss: 5.5092 2022/08/26 00:07:33 - mmengine - INFO - Epoch(train) [83][50/125] lr: 9.5063e-04 eta: 1 day, 4:00:44 time: 0.5161 data_time: 0.0158 memory: 9483 loss_text: 0.6806 loss_center: 2.7514 loss_reg_x: 0.9400 loss_reg_y: 0.9678 loss: 5.3397 2022/08/26 00:07:35 - mmengine - INFO - Epoch(train) [83][55/125] lr: 9.5063e-04 eta: 1 day, 4:00:44 time: 0.5027 data_time: 0.0161 memory: 9483 loss_text: 0.7560 loss_center: 2.7620 loss_reg_x: 1.1348 loss_reg_y: 1.2195 loss: 5.8724 2022/08/26 00:07:38 - mmengine - INFO - Epoch(train) [83][60/125] lr: 9.5063e-04 eta: 1 day, 4:00:27 time: 0.5053 data_time: 0.0131 memory: 9483 loss_text: 0.9423 loss_center: 2.8088 loss_reg_x: 1.4484 loss_reg_y: 1.4442 loss: 6.6437 2022/08/26 00:07:41 - mmengine - INFO - Epoch(train) [83][65/125] lr: 9.5063e-04 eta: 1 day, 4:00:27 time: 0.5319 data_time: 0.0132 memory: 9483 loss_text: 1.0226 loss_center: 2.7717 loss_reg_x: 1.5835 loss_reg_y: 1.3225 loss: 6.7003 2022/08/26 00:07:44 - mmengine - INFO - Epoch(train) [83][70/125] lr: 9.5063e-04 eta: 1 day, 4:00:30 time: 0.6153 data_time: 0.0193 memory: 9483 loss_text: 0.9851 loss_center: 2.7928 loss_reg_x: 1.3976 loss_reg_y: 1.2651 loss: 6.4407 2022/08/26 00:07:46 - mmengine - INFO - Epoch(train) [83][75/125] lr: 9.5063e-04 eta: 1 day, 4:00:30 time: 0.5874 data_time: 0.0189 memory: 9483 loss_text: 0.9422 loss_center: 2.8489 loss_reg_x: 1.2899 loss_reg_y: 1.3353 loss: 6.4164 2022/08/26 00:07:49 - mmengine - INFO - Epoch(train) [83][80/125] lr: 9.5063e-04 eta: 1 day, 4:00:17 time: 0.5304 data_time: 0.0195 memory: 9483 loss_text: 0.8205 loss_center: 2.8191 loss_reg_x: 1.2414 loss_reg_y: 1.2111 loss: 6.0920 2022/08/26 00:07:52 - mmengine - INFO - Epoch(train) [83][85/125] lr: 9.5063e-04 eta: 1 day, 4:00:17 time: 0.5217 data_time: 0.0201 memory: 9483 loss_text: 0.8142 loss_center: 2.8113 loss_reg_x: 1.1036 loss_reg_y: 1.2119 loss: 5.9410 2022/08/26 00:07:54 - mmengine - INFO - Epoch(train) [83][90/125] lr: 9.5063e-04 eta: 1 day, 3:59:59 time: 0.4968 data_time: 0.0182 memory: 9483 loss_text: 0.8042 loss_center: 2.8137 loss_reg_x: 1.0784 loss_reg_y: 1.1787 loss: 5.8750 2022/08/26 00:07:57 - mmengine - INFO - Epoch(train) [83][95/125] lr: 9.5063e-04 eta: 1 day, 3:59:59 time: 0.5134 data_time: 0.0166 memory: 9483 loss_text: 0.7884 loss_center: 2.7902 loss_reg_x: 0.9821 loss_reg_y: 0.9953 loss: 5.5560 2022/08/26 00:08:00 - mmengine - INFO - Epoch(train) [83][100/125] lr: 9.5063e-04 eta: 1 day, 3:59:49 time: 0.5412 data_time: 0.0196 memory: 9483 loss_text: 0.8977 loss_center: 2.7935 loss_reg_x: 1.1013 loss_reg_y: 1.0259 loss: 5.8185 2022/08/26 00:08:03 - mmengine - INFO - Epoch(train) [83][105/125] lr: 9.5063e-04 eta: 1 day, 3:59:49 time: 0.6023 data_time: 0.0221 memory: 9483 loss_text: 0.9061 loss_center: 2.8118 loss_reg_x: 1.2564 loss_reg_y: 1.0515 loss: 6.0257 2022/08/26 00:08:06 - mmengine - INFO - Epoch(train) [83][110/125] lr: 9.5063e-04 eta: 1 day, 3:59:47 time: 0.5888 data_time: 0.0208 memory: 9483 loss_text: 0.9014 loss_center: 2.7947 loss_reg_x: 1.2117 loss_reg_y: 1.0689 loss: 5.9767 2022/08/26 00:08:08 - mmengine - INFO - Epoch(train) [83][115/125] lr: 9.5063e-04 eta: 1 day, 3:59:47 time: 0.5342 data_time: 0.0203 memory: 9483 loss_text: 0.8337 loss_center: 2.7406 loss_reg_x: 1.2066 loss_reg_y: 1.0968 loss: 5.8777 2022/08/26 00:08:11 - mmengine - INFO - Epoch(train) [83][120/125] lr: 9.5063e-04 eta: 1 day, 3:59:36 time: 0.5382 data_time: 0.0147 memory: 9483 loss_text: 0.7429 loss_center: 2.7495 loss_reg_x: 1.1395 loss_reg_y: 0.9868 loss: 5.6187 2022/08/26 00:08:13 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:08:13 - mmengine - INFO - Epoch(train) [83][125/125] lr: 9.5063e-04 eta: 1 day, 3:59:36 time: 0.5177 data_time: 0.0141 memory: 9483 loss_text: 0.8112 loss_center: 2.7935 loss_reg_x: 1.0888 loss_reg_y: 1.0306 loss: 5.7240 2022/08/26 00:08:17 - mmengine - INFO - Epoch(train) [84][5/125] lr: 9.5003e-04 eta: 1 day, 3:59:36 time: 0.6217 data_time: 0.1335 memory: 9483 loss_text: 0.7047 loss_center: 2.7443 loss_reg_x: 0.9784 loss_reg_y: 1.0061 loss: 5.4335 2022/08/26 00:08:20 - mmengine - INFO - Epoch(train) [84][10/125] lr: 9.5003e-04 eta: 1 day, 3:58:58 time: 0.6854 data_time: 0.1323 memory: 9483 loss_text: 0.6489 loss_center: 2.7560 loss_reg_x: 0.9470 loss_reg_y: 1.0062 loss: 5.3582 2022/08/26 00:08:23 - mmengine - INFO - Epoch(train) [84][15/125] lr: 9.5003e-04 eta: 1 day, 3:58:58 time: 0.5392 data_time: 0.0123 memory: 9483 loss_text: 0.7979 loss_center: 2.8020 loss_reg_x: 1.0651 loss_reg_y: 1.1688 loss: 5.8338 2022/08/26 00:08:25 - mmengine - INFO - Epoch(train) [84][20/125] lr: 9.5003e-04 eta: 1 day, 3:58:41 time: 0.5026 data_time: 0.0143 memory: 9483 loss_text: 0.8131 loss_center: 2.7855 loss_reg_x: 1.1951 loss_reg_y: 1.2017 loss: 5.9954 2022/08/26 00:08:28 - mmengine - INFO - Epoch(train) [84][25/125] lr: 9.5003e-04 eta: 1 day, 3:58:41 time: 0.5484 data_time: 0.0190 memory: 9483 loss_text: 0.8136 loss_center: 2.7830 loss_reg_x: 1.2855 loss_reg_y: 1.1541 loss: 6.0362 2022/08/26 00:08:31 - mmengine - INFO - Epoch(train) [84][30/125] lr: 9.5003e-04 eta: 1 day, 3:58:30 time: 0.5361 data_time: 0.0207 memory: 9483 loss_text: 0.8176 loss_center: 2.7812 loss_reg_x: 1.1453 loss_reg_y: 1.0384 loss: 5.7825 2022/08/26 00:08:33 - mmengine - INFO - Epoch(train) [84][35/125] lr: 9.5003e-04 eta: 1 day, 3:58:30 time: 0.5154 data_time: 0.0157 memory: 9483 loss_text: 0.7527 loss_center: 2.7909 loss_reg_x: 0.9491 loss_reg_y: 0.9159 loss: 5.4087 2022/08/26 00:08:36 - mmengine - INFO - Epoch(train) [84][40/125] lr: 9.5003e-04 eta: 1 day, 3:58:15 time: 0.5103 data_time: 0.0152 memory: 9483 loss_text: 0.7547 loss_center: 2.8024 loss_reg_x: 0.9099 loss_reg_y: 0.8721 loss: 5.3391 2022/08/26 00:08:42 - mmengine - INFO - Epoch(train) [84][45/125] lr: 9.5003e-04 eta: 1 day, 3:58:15 time: 0.8288 data_time: 0.0214 memory: 9483 loss_text: 0.6980 loss_center: 2.7941 loss_reg_x: 0.9307 loss_reg_y: 0.8912 loss: 5.3140 2022/08/26 00:08:44 - mmengine - INFO - Epoch(train) [84][50/125] lr: 9.5003e-04 eta: 1 day, 3:58:52 time: 0.8242 data_time: 0.0202 memory: 9483 loss_text: 0.7472 loss_center: 2.8049 loss_reg_x: 1.0494 loss_reg_y: 1.0282 loss: 5.6297 2022/08/26 00:08:47 - mmengine - INFO - Epoch(train) [84][55/125] lr: 9.5003e-04 eta: 1 day, 3:58:52 time: 0.5142 data_time: 0.0162 memory: 9483 loss_text: 0.8016 loss_center: 2.8167 loss_reg_x: 1.1455 loss_reg_y: 1.2746 loss: 6.0384 2022/08/26 00:08:49 - mmengine - INFO - Epoch(train) [84][60/125] lr: 9.5003e-04 eta: 1 day, 3:58:41 time: 0.5359 data_time: 0.0201 memory: 9483 loss_text: 0.7432 loss_center: 2.8251 loss_reg_x: 1.0452 loss_reg_y: 1.2224 loss: 5.8359 2022/08/26 00:08:52 - mmengine - INFO - Epoch(train) [84][65/125] lr: 9.5003e-04 eta: 1 day, 3:58:41 time: 0.5288 data_time: 0.0183 memory: 9483 loss_text: 0.7496 loss_center: 2.8110 loss_reg_x: 0.9861 loss_reg_y: 1.2007 loss: 5.7474 2022/08/26 00:08:54 - mmengine - INFO - Epoch(train) [84][70/125] lr: 9.5003e-04 eta: 1 day, 3:58:23 time: 0.4967 data_time: 0.0128 memory: 9483 loss_text: 0.7790 loss_center: 2.7834 loss_reg_x: 1.0931 loss_reg_y: 1.2918 loss: 5.9474 2022/08/26 00:08:57 - mmengine - INFO - Epoch(train) [84][75/125] lr: 9.5003e-04 eta: 1 day, 3:58:23 time: 0.4986 data_time: 0.0138 memory: 9483 loss_text: 0.7807 loss_center: 2.7883 loss_reg_x: 1.1970 loss_reg_y: 1.2647 loss: 6.0307 2022/08/26 00:09:00 - mmengine - INFO - Epoch(train) [84][80/125] lr: 9.5003e-04 eta: 1 day, 3:58:17 time: 0.5649 data_time: 0.0190 memory: 9483 loss_text: 0.7609 loss_center: 2.7757 loss_reg_x: 1.1435 loss_reg_y: 1.1299 loss: 5.8100 2022/08/26 00:09:02 - mmengine - INFO - Epoch(train) [84][85/125] lr: 9.5003e-04 eta: 1 day, 3:58:17 time: 0.5458 data_time: 0.0195 memory: 9483 loss_text: 0.9042 loss_center: 2.7967 loss_reg_x: 1.1082 loss_reg_y: 1.2664 loss: 6.0755 2022/08/26 00:09:05 - mmengine - INFO - Epoch(train) [84][90/125] lr: 9.5003e-04 eta: 1 day, 3:57:58 time: 0.4945 data_time: 0.0142 memory: 9483 loss_text: 0.9038 loss_center: 2.8253 loss_reg_x: 1.1568 loss_reg_y: 1.4036 loss: 6.2895 2022/08/26 00:09:08 - mmengine - INFO - Epoch(train) [84][95/125] lr: 9.5003e-04 eta: 1 day, 3:57:58 time: 0.5246 data_time: 0.0145 memory: 9483 loss_text: 0.7924 loss_center: 2.8157 loss_reg_x: 1.2124 loss_reg_y: 1.2502 loss: 6.0707 2022/08/26 00:09:10 - mmengine - INFO - Epoch(train) [84][100/125] lr: 9.5003e-04 eta: 1 day, 3:57:45 time: 0.5213 data_time: 0.0198 memory: 9483 loss_text: 0.8793 loss_center: 2.8223 loss_reg_x: 1.5632 loss_reg_y: 1.2748 loss: 6.5396 2022/08/26 00:09:13 - mmengine - INFO - Epoch(train) [84][105/125] lr: 9.5003e-04 eta: 1 day, 3:57:45 time: 0.5157 data_time: 0.0187 memory: 9483 loss_text: 0.8987 loss_center: 2.7959 loss_reg_x: 1.6330 loss_reg_y: 1.1917 loss: 6.5193 2022/08/26 00:09:15 - mmengine - INFO - Epoch(train) [84][110/125] lr: 9.5003e-04 eta: 1 day, 3:57:30 time: 0.5140 data_time: 0.0135 memory: 9483 loss_text: 0.9001 loss_center: 2.7807 loss_reg_x: 1.4377 loss_reg_y: 1.1569 loss: 6.2754 2022/08/26 00:09:19 - mmengine - INFO - Epoch(train) [84][115/125] lr: 9.5003e-04 eta: 1 day, 3:57:30 time: 0.5929 data_time: 0.0198 memory: 9483 loss_text: 0.9358 loss_center: 2.8057 loss_reg_x: 1.3392 loss_reg_y: 1.1622 loss: 6.2428 2022/08/26 00:09:21 - mmengine - INFO - Epoch(train) [84][120/125] lr: 9.5003e-04 eta: 1 day, 3:57:29 time: 0.5948 data_time: 0.0226 memory: 9483 loss_text: 0.9939 loss_center: 2.8150 loss_reg_x: 1.4054 loss_reg_y: 1.2831 loss: 6.4975 2022/08/26 00:09:24 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:09:24 - mmengine - INFO - Epoch(train) [84][125/125] lr: 9.5003e-04 eta: 1 day, 3:57:29 time: 0.5097 data_time: 0.0180 memory: 9483 loss_text: 0.9902 loss_center: 2.8089 loss_reg_x: 1.6045 loss_reg_y: 1.4447 loss: 6.8483 2022/08/26 00:09:27 - mmengine - INFO - Epoch(train) [85][5/125] lr: 9.4943e-04 eta: 1 day, 3:57:29 time: 0.5707 data_time: 0.0735 memory: 9483 loss_text: 0.9424 loss_center: 2.8137 loss_reg_x: 1.5249 loss_reg_y: 1.4259 loss: 6.7069 2022/08/26 00:09:30 - mmengine - INFO - Epoch(train) [85][10/125] lr: 9.4943e-04 eta: 1 day, 3:56:38 time: 0.6002 data_time: 0.0706 memory: 9483 loss_text: 0.9525 loss_center: 2.7963 loss_reg_x: 1.3016 loss_reg_y: 1.2306 loss: 6.2810 2022/08/26 00:09:33 - mmengine - INFO - Epoch(train) [85][15/125] lr: 9.4943e-04 eta: 1 day, 3:56:38 time: 0.5570 data_time: 0.0171 memory: 9483 loss_text: 0.8992 loss_center: 2.7690 loss_reg_x: 1.1230 loss_reg_y: 0.9928 loss: 5.7839 2022/08/26 00:09:35 - mmengine - INFO - Epoch(train) [85][20/125] lr: 9.4943e-04 eta: 1 day, 3:56:24 time: 0.5190 data_time: 0.0177 memory: 9483 loss_text: 0.8924 loss_center: 2.7812 loss_reg_x: 1.2166 loss_reg_y: 1.2003 loss: 6.0905 2022/08/26 00:09:38 - mmengine - INFO - Epoch(train) [85][25/125] lr: 9.4943e-04 eta: 1 day, 3:56:24 time: 0.5844 data_time: 0.0130 memory: 9483 loss_text: 0.9258 loss_center: 2.8039 loss_reg_x: 1.3690 loss_reg_y: 1.3997 loss: 6.4985 2022/08/26 00:09:41 - mmengine - INFO - Epoch(train) [85][30/125] lr: 9.4943e-04 eta: 1 day, 3:56:22 time: 0.5914 data_time: 0.0153 memory: 9483 loss_text: 0.8289 loss_center: 2.8073 loss_reg_x: 1.2799 loss_reg_y: 1.2273 loss: 6.1434 2022/08/26 00:09:44 - mmengine - INFO - Epoch(train) [85][35/125] lr: 9.4943e-04 eta: 1 day, 3:56:22 time: 0.5140 data_time: 0.0174 memory: 9483 loss_text: 0.7707 loss_center: 2.7954 loss_reg_x: 1.0742 loss_reg_y: 1.2106 loss: 5.8509 2022/08/26 00:09:46 - mmengine - INFO - Epoch(train) [85][40/125] lr: 9.4943e-04 eta: 1 day, 3:56:04 time: 0.4978 data_time: 0.0148 memory: 9483 loss_text: 0.7542 loss_center: 2.8052 loss_reg_x: 1.0195 loss_reg_y: 1.3215 loss: 5.9004 2022/08/26 00:09:49 - mmengine - INFO - Epoch(train) [85][45/125] lr: 9.4943e-04 eta: 1 day, 3:56:04 time: 0.5492 data_time: 0.0133 memory: 9483 loss_text: 0.7442 loss_center: 2.8096 loss_reg_x: 1.0965 loss_reg_y: 1.2830 loss: 5.9333 2022/08/26 00:09:52 - mmengine - INFO - Epoch(train) [85][50/125] lr: 9.4943e-04 eta: 1 day, 3:55:59 time: 0.5733 data_time: 0.0141 memory: 9483 loss_text: 0.8381 loss_center: 2.8091 loss_reg_x: 1.1963 loss_reg_y: 1.1336 loss: 5.9770 2022/08/26 00:09:54 - mmengine - INFO - Epoch(train) [85][55/125] lr: 9.4943e-04 eta: 1 day, 3:55:59 time: 0.5339 data_time: 0.0158 memory: 9483 loss_text: 0.8238 loss_center: 2.7986 loss_reg_x: 1.1560 loss_reg_y: 1.0937 loss: 5.8720 2022/08/26 00:09:57 - mmengine - INFO - Epoch(train) [85][60/125] lr: 9.4943e-04 eta: 1 day, 3:55:47 time: 0.5257 data_time: 0.0154 memory: 9483 loss_text: 0.8142 loss_center: 2.7991 loss_reg_x: 1.1191 loss_reg_y: 1.1082 loss: 5.8407 2022/08/26 00:10:00 - mmengine - INFO - Epoch(train) [85][65/125] lr: 9.4943e-04 eta: 1 day, 3:55:47 time: 0.5695 data_time: 0.0138 memory: 9483 loss_text: 0.7929 loss_center: 2.8054 loss_reg_x: 1.0509 loss_reg_y: 0.8941 loss: 5.5434 2022/08/26 00:10:03 - mmengine - INFO - Epoch(train) [85][70/125] lr: 9.4943e-04 eta: 1 day, 3:55:45 time: 0.5907 data_time: 0.0150 memory: 9483 loss_text: 0.7620 loss_center: 2.8159 loss_reg_x: 0.9790 loss_reg_y: 0.9978 loss: 5.5547 2022/08/26 00:10:06 - mmengine - INFO - Epoch(train) [85][75/125] lr: 9.4943e-04 eta: 1 day, 3:55:45 time: 0.5598 data_time: 0.0164 memory: 9483 loss_text: 0.7915 loss_center: 2.8242 loss_reg_x: 1.0897 loss_reg_y: 1.1402 loss: 5.8455 2022/08/26 00:10:09 - mmengine - INFO - Epoch(train) [85][80/125] lr: 9.4943e-04 eta: 1 day, 3:55:45 time: 0.6017 data_time: 0.0170 memory: 9483 loss_text: 0.7392 loss_center: 2.7925 loss_reg_x: 1.1598 loss_reg_y: 1.1820 loss: 5.8735 2022/08/26 00:10:11 - mmengine - INFO - Epoch(train) [85][85/125] lr: 9.4943e-04 eta: 1 day, 3:55:45 time: 0.5760 data_time: 0.0166 memory: 9483 loss_text: 0.8089 loss_center: 2.7930 loss_reg_x: 1.2311 loss_reg_y: 1.1620 loss: 5.9951 2022/08/26 00:10:14 - mmengine - INFO - Epoch(train) [85][90/125] lr: 9.4943e-04 eta: 1 day, 3:55:28 time: 0.5048 data_time: 0.0144 memory: 9483 loss_text: 0.8540 loss_center: 2.8188 loss_reg_x: 1.2382 loss_reg_y: 1.0416 loss: 5.9527 2022/08/26 00:10:16 - mmengine - INFO - Epoch(train) [85][95/125] lr: 9.4943e-04 eta: 1 day, 3:55:28 time: 0.4864 data_time: 0.0156 memory: 9483 loss_text: 0.8525 loss_center: 2.8307 loss_reg_x: 1.0805 loss_reg_y: 1.2685 loss: 6.0322 2022/08/26 00:10:19 - mmengine - INFO - Epoch(train) [85][100/125] lr: 9.4943e-04 eta: 1 day, 3:55:11 time: 0.4986 data_time: 0.0280 memory: 9483 loss_text: 0.7924 loss_center: 2.8248 loss_reg_x: 0.9805 loss_reg_y: 1.2405 loss: 5.8382 2022/08/26 00:10:22 - mmengine - INFO - Epoch(train) [85][105/125] lr: 9.4943e-04 eta: 1 day, 3:55:11 time: 0.5209 data_time: 0.0256 memory: 9483 loss_text: 0.8010 loss_center: 2.8218 loss_reg_x: 1.2666 loss_reg_y: 1.2357 loss: 6.1251 2022/08/26 00:10:24 - mmengine - INFO - Epoch(train) [85][110/125] lr: 9.4943e-04 eta: 1 day, 3:54:52 time: 0.4877 data_time: 0.0126 memory: 9483 loss_text: 0.8932 loss_center: 2.8178 loss_reg_x: 1.2651 loss_reg_y: 1.0956 loss: 6.0718 2022/08/26 00:10:26 - mmengine - INFO - Epoch(train) [85][115/125] lr: 9.4943e-04 eta: 1 day, 3:54:52 time: 0.4628 data_time: 0.0118 memory: 9483 loss_text: 0.9357 loss_center: 2.8260 loss_reg_x: 1.1015 loss_reg_y: 1.0247 loss: 5.8879 2022/08/26 00:10:31 - mmengine - INFO - Epoch(train) [85][120/125] lr: 9.4943e-04 eta: 1 day, 3:55:04 time: 0.6773 data_time: 0.0143 memory: 9483 loss_text: 0.9285 loss_center: 2.8319 loss_reg_x: 1.2972 loss_reg_y: 1.3045 loss: 6.3620 2022/08/26 00:10:33 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:10:33 - mmengine - INFO - Epoch(train) [85][125/125] lr: 9.4943e-04 eta: 1 day, 3:55:04 time: 0.6942 data_time: 0.0266 memory: 9483 loss_text: 0.8272 loss_center: 2.8196 loss_reg_x: 1.2612 loss_reg_y: 1.2452 loss: 6.1532 2022/08/26 00:10:36 - mmengine - INFO - Epoch(train) [86][5/125] lr: 9.4882e-04 eta: 1 day, 3:55:04 time: 0.5489 data_time: 0.0766 memory: 9483 loss_text: 0.8006 loss_center: 2.8069 loss_reg_x: 1.1250 loss_reg_y: 1.2309 loss: 5.9633 2022/08/26 00:10:39 - mmengine - INFO - Epoch(train) [86][10/125] lr: 9.4882e-04 eta: 1 day, 3:54:15 time: 0.6066 data_time: 0.0685 memory: 9483 loss_text: 0.8191 loss_center: 2.7927 loss_reg_x: 1.1270 loss_reg_y: 1.1780 loss: 5.9169 2022/08/26 00:10:42 - mmengine - INFO - Epoch(train) [86][15/125] lr: 9.4882e-04 eta: 1 day, 3:54:15 time: 0.5749 data_time: 0.0177 memory: 9483 loss_text: 0.7380 loss_center: 2.8007 loss_reg_x: 1.0357 loss_reg_y: 1.0315 loss: 5.6059 2022/08/26 00:10:44 - mmengine - INFO - Epoch(train) [86][20/125] lr: 9.4882e-04 eta: 1 day, 3:54:02 time: 0.5231 data_time: 0.0157 memory: 9483 loss_text: 0.6744 loss_center: 2.8000 loss_reg_x: 0.8758 loss_reg_y: 0.9264 loss: 5.2766 2022/08/26 00:10:47 - mmengine - INFO - Epoch(train) [86][25/125] lr: 9.4882e-04 eta: 1 day, 3:54:02 time: 0.5157 data_time: 0.0149 memory: 9483 loss_text: 0.7299 loss_center: 2.8006 loss_reg_x: 0.8452 loss_reg_y: 0.9009 loss: 5.2767 2022/08/26 00:10:50 - mmengine - INFO - Epoch(train) [86][30/125] lr: 9.4882e-04 eta: 1 day, 3:54:00 time: 0.5902 data_time: 0.0157 memory: 9483 loss_text: 0.8130 loss_center: 2.8165 loss_reg_x: 0.9304 loss_reg_y: 0.9428 loss: 5.5026 2022/08/26 00:10:53 - mmengine - INFO - Epoch(train) [86][35/125] lr: 9.4882e-04 eta: 1 day, 3:54:00 time: 0.5665 data_time: 0.0176 memory: 9483 loss_text: 0.8700 loss_center: 2.8151 loss_reg_x: 1.1521 loss_reg_y: 1.0477 loss: 5.8848 2022/08/26 00:10:55 - mmengine - INFO - Epoch(train) [86][40/125] lr: 9.4882e-04 eta: 1 day, 3:53:41 time: 0.4908 data_time: 0.0161 memory: 9483 loss_text: 0.8207 loss_center: 2.8092 loss_reg_x: 1.2788 loss_reg_y: 1.1490 loss: 6.0577 2022/08/26 00:10:58 - mmengine - INFO - Epoch(train) [86][45/125] lr: 9.4882e-04 eta: 1 day, 3:53:41 time: 0.5735 data_time: 0.0137 memory: 9483 loss_text: 0.8535 loss_center: 2.8141 loss_reg_x: 1.1835 loss_reg_y: 1.0723 loss: 5.9234 2022/08/26 00:11:01 - mmengine - INFO - Epoch(train) [86][50/125] lr: 9.4882e-04 eta: 1 day, 3:53:36 time: 0.5691 data_time: 0.0165 memory: 9483 loss_text: 0.8769 loss_center: 2.8141 loss_reg_x: 1.2761 loss_reg_y: 1.1139 loss: 6.0810 2022/08/26 00:11:03 - mmengine - INFO - Epoch(train) [86][55/125] lr: 9.4882e-04 eta: 1 day, 3:53:36 time: 0.5026 data_time: 0.0185 memory: 9483 loss_text: 0.8801 loss_center: 2.8134 loss_reg_x: 1.5378 loss_reg_y: 1.3811 loss: 6.6125 2022/08/26 00:11:06 - mmengine - INFO - Epoch(train) [86][60/125] lr: 9.4882e-04 eta: 1 day, 3:53:20 time: 0.5037 data_time: 0.0151 memory: 9483 loss_text: 0.9305 loss_center: 2.8228 loss_reg_x: 1.6093 loss_reg_y: 1.4366 loss: 6.7992 2022/08/26 00:11:09 - mmengine - INFO - Epoch(train) [86][65/125] lr: 9.4882e-04 eta: 1 day, 3:53:20 time: 0.6036 data_time: 0.0190 memory: 9483 loss_text: 0.9171 loss_center: 2.8143 loss_reg_x: 1.3640 loss_reg_y: 1.1581 loss: 6.2535 2022/08/26 00:11:12 - mmengine - INFO - Epoch(train) [86][70/125] lr: 9.4882e-04 eta: 1 day, 3:53:18 time: 0.5946 data_time: 0.0191 memory: 9483 loss_text: 0.9151 loss_center: 2.8007 loss_reg_x: 1.0875 loss_reg_y: 1.1321 loss: 5.9354 2022/08/26 00:11:15 - mmengine - INFO - Epoch(train) [86][75/125] lr: 9.4882e-04 eta: 1 day, 3:53:18 time: 0.5199 data_time: 0.0152 memory: 9483 loss_text: 0.8663 loss_center: 2.7831 loss_reg_x: 1.0253 loss_reg_y: 1.2260 loss: 5.9007 2022/08/26 00:11:17 - mmengine - INFO - Epoch(train) [86][80/125] lr: 9.4882e-04 eta: 1 day, 3:53:08 time: 0.5409 data_time: 0.0148 memory: 9483 loss_text: 0.7987 loss_center: 2.7912 loss_reg_x: 1.0511 loss_reg_y: 1.0833 loss: 5.7243 2022/08/26 00:11:20 - mmengine - INFO - Epoch(train) [86][85/125] lr: 9.4882e-04 eta: 1 day, 3:53:08 time: 0.5497 data_time: 0.0131 memory: 9483 loss_text: 0.8951 loss_center: 2.8015 loss_reg_x: 1.2625 loss_reg_y: 1.1641 loss: 6.1231 2022/08/26 00:11:23 - mmengine - INFO - Epoch(train) [86][90/125] lr: 9.4882e-04 eta: 1 day, 3:53:00 time: 0.5528 data_time: 0.0135 memory: 9483 loss_text: 0.9758 loss_center: 2.8036 loss_reg_x: 1.3665 loss_reg_y: 1.2836 loss: 6.4295 2022/08/26 00:11:25 - mmengine - INFO - Epoch(train) [86][95/125] lr: 9.4882e-04 eta: 1 day, 3:53:00 time: 0.5099 data_time: 0.0162 memory: 9483 loss_text: 0.9047 loss_center: 2.8365 loss_reg_x: 1.1998 loss_reg_y: 1.2205 loss: 6.1616 2022/08/26 00:11:28 - mmengine - INFO - Epoch(train) [86][100/125] lr: 9.4882e-04 eta: 1 day, 3:52:51 time: 0.5444 data_time: 0.0158 memory: 9483 loss_text: 0.8163 loss_center: 2.8407 loss_reg_x: 1.2177 loss_reg_y: 1.2687 loss: 6.1435 2022/08/26 00:11:31 - mmengine - INFO - Epoch(train) [86][105/125] lr: 9.4882e-04 eta: 1 day, 3:52:51 time: 0.6188 data_time: 0.0153 memory: 9483 loss_text: 0.7744 loss_center: 2.8035 loss_reg_x: 1.2423 loss_reg_y: 1.1849 loss: 6.0052 2022/08/26 00:11:34 - mmengine - INFO - Epoch(train) [86][110/125] lr: 9.4882e-04 eta: 1 day, 3:52:44 time: 0.5636 data_time: 0.0147 memory: 9483 loss_text: 0.7841 loss_center: 2.7957 loss_reg_x: 1.1269 loss_reg_y: 1.0559 loss: 5.7626 2022/08/26 00:11:36 - mmengine - INFO - Epoch(train) [86][115/125] lr: 9.4882e-04 eta: 1 day, 3:52:44 time: 0.4995 data_time: 0.0159 memory: 9483 loss_text: 0.7552 loss_center: 2.7998 loss_reg_x: 1.0676 loss_reg_y: 1.0064 loss: 5.6290 2022/08/26 00:11:39 - mmengine - INFO - Epoch(train) [86][120/125] lr: 9.4882e-04 eta: 1 day, 3:52:31 time: 0.5231 data_time: 0.0164 memory: 9483 loss_text: 0.7724 loss_center: 2.7478 loss_reg_x: 1.1642 loss_reg_y: 1.0724 loss: 5.7567 2022/08/26 00:11:42 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:11:42 - mmengine - INFO - Epoch(train) [86][125/125] lr: 9.4882e-04 eta: 1 day, 3:52:31 time: 0.5181 data_time: 0.0142 memory: 9483 loss_text: 0.8918 loss_center: 2.7709 loss_reg_x: 1.2010 loss_reg_y: 1.1072 loss: 5.9708 2022/08/26 00:11:45 - mmengine - INFO - Epoch(train) [87][5/125] lr: 9.4822e-04 eta: 1 day, 3:52:31 time: 0.5917 data_time: 0.0792 memory: 9483 loss_text: 0.9352 loss_center: 2.8246 loss_reg_x: 1.0273 loss_reg_y: 1.0300 loss: 5.8171 2022/08/26 00:11:48 - mmengine - INFO - Epoch(train) [87][10/125] lr: 9.4822e-04 eta: 1 day, 3:51:44 time: 0.6176 data_time: 0.0795 memory: 9483 loss_text: 0.8319 loss_center: 2.8128 loss_reg_x: 0.9275 loss_reg_y: 0.9922 loss: 5.5645 2022/08/26 00:11:51 - mmengine - INFO - Epoch(train) [87][15/125] lr: 9.4822e-04 eta: 1 day, 3:51:44 time: 0.5807 data_time: 0.0176 memory: 9483 loss_text: 0.8550 loss_center: 2.8158 loss_reg_x: 1.0553 loss_reg_y: 1.1394 loss: 5.8655 2022/08/26 00:11:54 - mmengine - INFO - Epoch(train) [87][20/125] lr: 9.4822e-04 eta: 1 day, 3:51:43 time: 0.5939 data_time: 0.0160 memory: 9483 loss_text: 0.9070 loss_center: 2.8257 loss_reg_x: 1.1207 loss_reg_y: 1.3300 loss: 6.1834 2022/08/26 00:11:57 - mmengine - INFO - Epoch(train) [87][25/125] lr: 9.4822e-04 eta: 1 day, 3:51:43 time: 0.5678 data_time: 0.0297 memory: 9483 loss_text: 0.8170 loss_center: 2.8170 loss_reg_x: 1.0107 loss_reg_y: 1.2057 loss: 5.8504 2022/08/26 00:12:04 - mmengine - INFO - Epoch(train) [87][30/125] lr: 9.4822e-04 eta: 1 day, 3:52:45 time: 0.9827 data_time: 0.0858 memory: 9483 loss_text: 0.7785 loss_center: 2.8091 loss_reg_x: 1.0170 loss_reg_y: 1.0522 loss: 5.6568 2022/08/26 00:12:06 - mmengine - INFO - Epoch(train) [87][35/125] lr: 9.4822e-04 eta: 1 day, 3:52:45 time: 0.9359 data_time: 0.0696 memory: 9483 loss_text: 0.7939 loss_center: 2.8078 loss_reg_x: 0.9698 loss_reg_y: 0.9719 loss: 5.5435 2022/08/26 00:12:09 - mmengine - INFO - Epoch(train) [87][40/125] lr: 9.4822e-04 eta: 1 day, 3:52:38 time: 0.5596 data_time: 0.0134 memory: 9483 loss_text: 0.7653 loss_center: 2.8160 loss_reg_x: 0.8988 loss_reg_y: 0.9833 loss: 5.4635 2022/08/26 00:12:12 - mmengine - INFO - Epoch(train) [87][45/125] lr: 9.4822e-04 eta: 1 day, 3:52:38 time: 0.5852 data_time: 0.0191 memory: 9483 loss_text: 0.7537 loss_center: 2.8220 loss_reg_x: 0.8822 loss_reg_y: 1.0278 loss: 5.4857 2022/08/26 00:12:14 - mmengine - INFO - Epoch(train) [87][50/125] lr: 9.4822e-04 eta: 1 day, 3:52:23 time: 0.5106 data_time: 0.0195 memory: 9483 loss_text: 0.7668 loss_center: 2.8056 loss_reg_x: 0.8898 loss_reg_y: 0.9894 loss: 5.4517 2022/08/26 00:12:17 - mmengine - INFO - Epoch(train) [87][55/125] lr: 9.4822e-04 eta: 1 day, 3:52:23 time: 0.5072 data_time: 0.0141 memory: 9483 loss_text: 0.7704 loss_center: 2.8019 loss_reg_x: 0.9668 loss_reg_y: 0.9498 loss: 5.4890 2022/08/26 00:12:20 - mmengine - INFO - Epoch(train) [87][60/125] lr: 9.4822e-04 eta: 1 day, 3:52:20 time: 0.5828 data_time: 0.0144 memory: 9483 loss_text: 0.8508 loss_center: 2.8156 loss_reg_x: 1.1517 loss_reg_y: 1.0225 loss: 5.8406 2022/08/26 00:12:23 - mmengine - INFO - Epoch(train) [87][65/125] lr: 9.4822e-04 eta: 1 day, 3:52:20 time: 0.5730 data_time: 0.0153 memory: 9483 loss_text: 0.8554 loss_center: 2.8262 loss_reg_x: 1.1645 loss_reg_y: 1.0715 loss: 5.9176 2022/08/26 00:12:25 - mmengine - INFO - Epoch(train) [87][70/125] lr: 9.4822e-04 eta: 1 day, 3:52:05 time: 0.5089 data_time: 0.0148 memory: 9483 loss_text: 0.7654 loss_center: 2.8294 loss_reg_x: 1.0202 loss_reg_y: 1.3089 loss: 5.9239 2022/08/26 00:12:29 - mmengine - INFO - Epoch(train) [87][75/125] lr: 9.4822e-04 eta: 1 day, 3:52:05 time: 0.5987 data_time: 0.0125 memory: 9483 loss_text: 0.7706 loss_center: 2.8111 loss_reg_x: 1.0502 loss_reg_y: 1.3357 loss: 5.9675 2022/08/26 00:12:32 - mmengine - INFO - Epoch(train) [87][80/125] lr: 9.4822e-04 eta: 1 day, 3:52:21 time: 0.7042 data_time: 0.0791 memory: 9483 loss_text: 0.8437 loss_center: 2.8053 loss_reg_x: 1.2017 loss_reg_y: 1.1303 loss: 5.9810 2022/08/26 00:12:35 - mmengine - INFO - Epoch(train) [87][85/125] lr: 9.4822e-04 eta: 1 day, 3:52:21 time: 0.6239 data_time: 0.0817 memory: 9483 loss_text: 0.8009 loss_center: 2.8159 loss_reg_x: 1.1452 loss_reg_y: 1.0475 loss: 5.8096 2022/08/26 00:12:38 - mmengine - INFO - Epoch(train) [87][90/125] lr: 9.4822e-04 eta: 1 day, 3:52:13 time: 0.5505 data_time: 0.0184 memory: 9483 loss_text: 0.7231 loss_center: 2.8220 loss_reg_x: 1.0892 loss_reg_y: 1.0039 loss: 5.6383 2022/08/26 00:12:41 - mmengine - INFO - Epoch(train) [87][95/125] lr: 9.4822e-04 eta: 1 day, 3:52:13 time: 0.5912 data_time: 0.0211 memory: 9483 loss_text: 0.7471 loss_center: 2.7954 loss_reg_x: 1.1210 loss_reg_y: 1.0070 loss: 5.6704 2022/08/26 00:12:43 - mmengine - INFO - Epoch(train) [87][100/125] lr: 9.4822e-04 eta: 1 day, 3:52:04 time: 0.5532 data_time: 0.0178 memory: 9483 loss_text: 0.7489 loss_center: 2.7806 loss_reg_x: 1.1281 loss_reg_y: 1.0768 loss: 5.7344 2022/08/26 00:12:46 - mmengine - INFO - Epoch(train) [87][105/125] lr: 9.4822e-04 eta: 1 day, 3:52:04 time: 0.4940 data_time: 0.0166 memory: 9483 loss_text: 0.7223 loss_center: 2.8032 loss_reg_x: 1.1326 loss_reg_y: 1.1226 loss: 5.7807 2022/08/26 00:12:50 - mmengine - INFO - Epoch(train) [87][110/125] lr: 9.4822e-04 eta: 1 day, 3:52:21 time: 0.7055 data_time: 0.0174 memory: 9483 loss_text: 0.7544 loss_center: 2.7888 loss_reg_x: 1.0072 loss_reg_y: 0.9715 loss: 5.5219 2022/08/26 00:12:53 - mmengine - INFO - Epoch(train) [87][115/125] lr: 9.4822e-04 eta: 1 day, 3:52:21 time: 0.7729 data_time: 0.0141 memory: 9483 loss_text: 0.7727 loss_center: 2.7747 loss_reg_x: 0.9937 loss_reg_y: 0.9119 loss: 5.4530 2022/08/26 00:12:56 - mmengine - INFO - Epoch(train) [87][120/125] lr: 9.4822e-04 eta: 1 day, 3:52:15 time: 0.5680 data_time: 0.0170 memory: 9483 loss_text: 0.6984 loss_center: 2.7755 loss_reg_x: 0.9147 loss_reg_y: 0.9290 loss: 5.3176 2022/08/26 00:12:59 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:12:59 - mmengine - INFO - Epoch(train) [87][125/125] lr: 9.4822e-04 eta: 1 day, 3:52:15 time: 0.5121 data_time: 0.0207 memory: 9483 loss_text: 0.7540 loss_center: 2.7298 loss_reg_x: 0.9546 loss_reg_y: 1.1471 loss: 5.5856 2022/08/26 00:13:02 - mmengine - INFO - Epoch(train) [88][5/125] lr: 9.4762e-04 eta: 1 day, 3:52:15 time: 0.5814 data_time: 0.0711 memory: 9483 loss_text: 0.8120 loss_center: 2.7467 loss_reg_x: 1.0270 loss_reg_y: 1.1478 loss: 5.7336 2022/08/26 00:13:04 - mmengine - INFO - Epoch(train) [88][10/125] lr: 9.4762e-04 eta: 1 day, 3:51:20 time: 0.5654 data_time: 0.0687 memory: 9483 loss_text: 0.7304 loss_center: 2.8151 loss_reg_x: 0.9436 loss_reg_y: 0.8857 loss: 5.3747 2022/08/26 00:13:07 - mmengine - INFO - Epoch(train) [88][15/125] lr: 9.4762e-04 eta: 1 day, 3:51:20 time: 0.4817 data_time: 0.0168 memory: 9483 loss_text: 0.7508 loss_center: 2.8037 loss_reg_x: 0.9498 loss_reg_y: 0.8990 loss: 5.4032 2022/08/26 00:13:09 - mmengine - INFO - Epoch(train) [88][20/125] lr: 9.4762e-04 eta: 1 day, 3:51:06 time: 0.5143 data_time: 0.0187 memory: 9483 loss_text: 0.8085 loss_center: 2.7801 loss_reg_x: 1.0334 loss_reg_y: 0.9641 loss: 5.5861 2022/08/26 00:13:12 - mmengine - INFO - Epoch(train) [88][25/125] lr: 9.4762e-04 eta: 1 day, 3:51:06 time: 0.5040 data_time: 0.0168 memory: 9483 loss_text: 0.7681 loss_center: 2.7965 loss_reg_x: 1.0253 loss_reg_y: 1.0966 loss: 5.6864 2022/08/26 00:13:15 - mmengine - INFO - Epoch(train) [88][30/125] lr: 9.4762e-04 eta: 1 day, 3:51:05 time: 0.5937 data_time: 0.0130 memory: 9483 loss_text: 0.6995 loss_center: 2.7797 loss_reg_x: 1.0453 loss_reg_y: 1.1009 loss: 5.6254 2022/08/26 00:13:18 - mmengine - INFO - Epoch(train) [88][35/125] lr: 9.4762e-04 eta: 1 day, 3:51:05 time: 0.6634 data_time: 0.0255 memory: 9483 loss_text: 0.7552 loss_center: 2.7709 loss_reg_x: 1.2411 loss_reg_y: 0.9747 loss: 5.7419 2022/08/26 00:13:21 - mmengine - INFO - Epoch(train) [88][40/125] lr: 9.4762e-04 eta: 1 day, 3:50:58 time: 0.5632 data_time: 0.0274 memory: 9483 loss_text: 0.8608 loss_center: 2.8079 loss_reg_x: 1.2679 loss_reg_y: 0.9955 loss: 5.9320 2022/08/26 00:13:24 - mmengine - INFO - Epoch(train) [88][45/125] lr: 9.4762e-04 eta: 1 day, 3:50:58 time: 0.5421 data_time: 0.0148 memory: 9483 loss_text: 0.8690 loss_center: 2.8110 loss_reg_x: 1.2034 loss_reg_y: 1.0520 loss: 5.9354 2022/08/26 00:13:26 - mmengine - INFO - Epoch(train) [88][50/125] lr: 9.4762e-04 eta: 1 day, 3:50:50 time: 0.5497 data_time: 0.0125 memory: 9483 loss_text: 0.8051 loss_center: 2.8022 loss_reg_x: 1.1891 loss_reg_y: 1.1516 loss: 5.9480 2022/08/26 00:13:30 - mmengine - INFO - Epoch(train) [88][55/125] lr: 9.4762e-04 eta: 1 day, 3:50:50 time: 0.5871 data_time: 0.0156 memory: 9483 loss_text: 0.9111 loss_center: 2.8187 loss_reg_x: 1.2931 loss_reg_y: 1.3313 loss: 6.3543 2022/08/26 00:13:32 - mmengine - INFO - Epoch(train) [88][60/125] lr: 9.4762e-04 eta: 1 day, 3:50:45 time: 0.5765 data_time: 0.0156 memory: 9483 loss_text: 0.9078 loss_center: 2.8247 loss_reg_x: 1.1728 loss_reg_y: 1.2288 loss: 6.1340 2022/08/26 00:13:35 - mmengine - INFO - Epoch(train) [88][65/125] lr: 9.4762e-04 eta: 1 day, 3:50:45 time: 0.4962 data_time: 0.0122 memory: 9483 loss_text: 0.8032 loss_center: 2.8052 loss_reg_x: 0.9801 loss_reg_y: 1.2400 loss: 5.8285 2022/08/26 00:13:37 - mmengine - INFO - Epoch(train) [88][70/125] lr: 9.4762e-04 eta: 1 day, 3:50:27 time: 0.4921 data_time: 0.0121 memory: 9483 loss_text: 0.7647 loss_center: 2.7754 loss_reg_x: 0.9339 loss_reg_y: 1.1323 loss: 5.6064 2022/08/26 00:13:40 - mmengine - INFO - Epoch(train) [88][75/125] lr: 9.4762e-04 eta: 1 day, 3:50:27 time: 0.5395 data_time: 0.0145 memory: 9483 loss_text: 0.7169 loss_center: 2.7825 loss_reg_x: 1.0045 loss_reg_y: 0.8997 loss: 5.4036 2022/08/26 00:13:42 - mmengine - INFO - Epoch(train) [88][80/125] lr: 9.4762e-04 eta: 1 day, 3:50:16 time: 0.5301 data_time: 0.0159 memory: 9483 loss_text: 0.7165 loss_center: 2.8000 loss_reg_x: 1.0753 loss_reg_y: 0.9511 loss: 5.5429 2022/08/26 00:13:45 - mmengine - INFO - Epoch(train) [88][85/125] lr: 9.4762e-04 eta: 1 day, 3:50:16 time: 0.4846 data_time: 0.0139 memory: 9483 loss_text: 0.7498 loss_center: 2.8190 loss_reg_x: 1.2538 loss_reg_y: 1.1886 loss: 6.0112 2022/08/26 00:13:47 - mmengine - INFO - Epoch(train) [88][90/125] lr: 9.4762e-04 eta: 1 day, 3:50:00 time: 0.5075 data_time: 0.0125 memory: 9483 loss_text: 0.8237 loss_center: 2.8160 loss_reg_x: 1.4623 loss_reg_y: 1.3535 loss: 6.4554 2022/08/26 00:13:50 - mmengine - INFO - Epoch(train) [88][95/125] lr: 9.4762e-04 eta: 1 day, 3:50:00 time: 0.5289 data_time: 0.0145 memory: 9483 loss_text: 0.8479 loss_center: 2.7886 loss_reg_x: 1.2356 loss_reg_y: 1.1180 loss: 5.9901 2022/08/26 00:13:52 - mmengine - INFO - Epoch(train) [88][100/125] lr: 9.4762e-04 eta: 1 day, 3:49:44 time: 0.4996 data_time: 0.0167 memory: 9483 loss_text: 0.9394 loss_center: 2.8231 loss_reg_x: 1.3259 loss_reg_y: 1.1794 loss: 6.2679 2022/08/26 00:13:55 - mmengine - INFO - Epoch(train) [88][105/125] lr: 9.4762e-04 eta: 1 day, 3:49:44 time: 0.4846 data_time: 0.0149 memory: 9483 loss_text: 0.9342 loss_center: 2.8483 loss_reg_x: 1.4325 loss_reg_y: 1.1837 loss: 6.3987 2022/08/26 00:13:57 - mmengine - INFO - Epoch(train) [88][110/125] lr: 9.4762e-04 eta: 1 day, 3:49:25 time: 0.4877 data_time: 0.0136 memory: 9483 loss_text: 0.9066 loss_center: 2.8375 loss_reg_x: 1.3562 loss_reg_y: 1.0508 loss: 6.1512 2022/08/26 00:14:02 - mmengine - INFO - Epoch(train) [88][115/125] lr: 9.4762e-04 eta: 1 day, 3:49:25 time: 0.6908 data_time: 0.0134 memory: 9483 loss_text: 0.8557 loss_center: 2.7658 loss_reg_x: 1.2317 loss_reg_y: 1.1589 loss: 6.0121 2022/08/26 00:14:04 - mmengine - INFO - Epoch(train) [88][120/125] lr: 9.4762e-04 eta: 1 day, 3:49:41 time: 0.6980 data_time: 0.0153 memory: 9483 loss_text: 0.8851 loss_center: 2.7606 loss_reg_x: 1.1861 loss_reg_y: 1.3396 loss: 6.1713 2022/08/26 00:14:07 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:14:07 - mmengine - INFO - Epoch(train) [88][125/125] lr: 9.4762e-04 eta: 1 day, 3:49:41 time: 0.4887 data_time: 0.0161 memory: 9483 loss_text: 0.9841 loss_center: 2.8298 loss_reg_x: 1.4092 loss_reg_y: 1.1794 loss: 6.4025 2022/08/26 00:14:10 - mmengine - INFO - Epoch(train) [89][5/125] lr: 9.4701e-04 eta: 1 day, 3:49:41 time: 0.6023 data_time: 0.1091 memory: 9483 loss_text: 0.9229 loss_center: 2.8327 loss_reg_x: 1.4597 loss_reg_y: 1.0908 loss: 6.3061 2022/08/26 00:14:13 - mmengine - INFO - Epoch(train) [89][10/125] lr: 9.4701e-04 eta: 1 day, 3:48:53 time: 0.6101 data_time: 0.1109 memory: 9483 loss_text: 0.8860 loss_center: 2.8218 loss_reg_x: 1.3680 loss_reg_y: 1.1476 loss: 6.2234 2022/08/26 00:14:16 - mmengine - INFO - Epoch(train) [89][15/125] lr: 9.4701e-04 eta: 1 day, 3:48:53 time: 0.5131 data_time: 0.0187 memory: 9483 loss_text: 0.8088 loss_center: 2.7939 loss_reg_x: 1.1554 loss_reg_y: 0.9336 loss: 5.6917 2022/08/26 00:14:21 - mmengine - INFO - Epoch(train) [89][20/125] lr: 9.4701e-04 eta: 1 day, 3:49:33 time: 0.8516 data_time: 0.0180 memory: 9483 loss_text: 0.7690 loss_center: 2.7848 loss_reg_x: 1.0316 loss_reg_y: 0.9579 loss: 5.5432 2022/08/26 00:14:24 - mmengine - INFO - Epoch(train) [89][25/125] lr: 9.4701e-04 eta: 1 day, 3:49:33 time: 0.8524 data_time: 0.0204 memory: 9483 loss_text: 0.8939 loss_center: 2.8050 loss_reg_x: 1.0281 loss_reg_y: 1.1155 loss: 5.8425 2022/08/26 00:14:27 - mmengine - INFO - Epoch(train) [89][30/125] lr: 9.4701e-04 eta: 1 day, 3:49:22 time: 0.5313 data_time: 0.0205 memory: 9483 loss_text: 0.9178 loss_center: 2.8255 loss_reg_x: 1.1726 loss_reg_y: 1.2639 loss: 6.1797 2022/08/26 00:14:29 - mmengine - INFO - Epoch(train) [89][35/125] lr: 9.4701e-04 eta: 1 day, 3:49:22 time: 0.5105 data_time: 0.0176 memory: 9483 loss_text: 0.8582 loss_center: 2.8394 loss_reg_x: 1.2621 loss_reg_y: 1.2544 loss: 6.2141 2022/08/26 00:14:32 - mmengine - INFO - Epoch(train) [89][40/125] lr: 9.4701e-04 eta: 1 day, 3:49:05 time: 0.5009 data_time: 0.0168 memory: 9483 loss_text: 0.8665 loss_center: 2.8197 loss_reg_x: 1.1532 loss_reg_y: 1.0552 loss: 5.8946 2022/08/26 00:14:34 - mmengine - INFO - Epoch(train) [89][45/125] lr: 9.4701e-04 eta: 1 day, 3:49:05 time: 0.5060 data_time: 0.0168 memory: 9483 loss_text: 0.7883 loss_center: 2.7862 loss_reg_x: 1.0399 loss_reg_y: 0.9460 loss: 5.5605 2022/08/26 00:14:37 - mmengine - INFO - Epoch(train) [89][50/125] lr: 9.4701e-04 eta: 1 day, 3:48:46 time: 0.4792 data_time: 0.0172 memory: 9483 loss_text: 0.7878 loss_center: 2.7919 loss_reg_x: 0.9618 loss_reg_y: 1.0558 loss: 5.5973 2022/08/26 00:14:41 - mmengine - INFO - Epoch(train) [89][55/125] lr: 9.4701e-04 eta: 1 day, 3:48:46 time: 0.7206 data_time: 0.0139 memory: 9483 loss_text: 0.8306 loss_center: 2.8084 loss_reg_x: 0.9608 loss_reg_y: 1.0780 loss: 5.6779 2022/08/26 00:14:44 - mmengine - INFO - Epoch(train) [89][60/125] lr: 9.4701e-04 eta: 1 day, 3:49:11 time: 0.7595 data_time: 0.0125 memory: 9483 loss_text: 0.7645 loss_center: 2.7705 loss_reg_x: 0.8657 loss_reg_y: 0.9437 loss: 5.3444 2022/08/26 00:14:47 - mmengine - INFO - Epoch(train) [89][65/125] lr: 9.4701e-04 eta: 1 day, 3:49:11 time: 0.5099 data_time: 0.0128 memory: 9483 loss_text: 0.7190 loss_center: 2.7506 loss_reg_x: 0.9194 loss_reg_y: 1.1421 loss: 5.5311 2022/08/26 00:14:49 - mmengine - INFO - Epoch(train) [89][70/125] lr: 9.4701e-04 eta: 1 day, 3:48:54 time: 0.4984 data_time: 0.0143 memory: 9483 loss_text: 0.7123 loss_center: 2.7893 loss_reg_x: 1.0733 loss_reg_y: 1.1897 loss: 5.7647 2022/08/26 00:14:52 - mmengine - INFO - Epoch(train) [89][75/125] lr: 9.4701e-04 eta: 1 day, 3:48:54 time: 0.5155 data_time: 0.0146 memory: 9483 loss_text: 0.7581 loss_center: 2.7511 loss_reg_x: 1.0474 loss_reg_y: 0.9876 loss: 5.5443 2022/08/26 00:14:54 - mmengine - INFO - Epoch(train) [89][80/125] lr: 9.4701e-04 eta: 1 day, 3:48:39 time: 0.5075 data_time: 0.0142 memory: 9483 loss_text: 0.7766 loss_center: 2.7261 loss_reg_x: 0.9473 loss_reg_y: 0.8879 loss: 5.3379 2022/08/26 00:14:57 - mmengine - INFO - Epoch(train) [89][85/125] lr: 9.4701e-04 eta: 1 day, 3:48:39 time: 0.4930 data_time: 0.0147 memory: 9483 loss_text: 0.8198 loss_center: 2.7961 loss_reg_x: 1.0912 loss_reg_y: 1.0285 loss: 5.7356 2022/08/26 00:15:02 - mmengine - INFO - Epoch(train) [89][90/125] lr: 9.4701e-04 eta: 1 day, 3:49:15 time: 0.8293 data_time: 0.0153 memory: 9483 loss_text: 0.8361 loss_center: 2.8110 loss_reg_x: 1.0795 loss_reg_y: 1.1258 loss: 5.8524 2022/08/26 00:15:05 - mmengine - INFO - Epoch(train) [89][95/125] lr: 9.4701e-04 eta: 1 day, 3:49:15 time: 0.8522 data_time: 0.0177 memory: 9483 loss_text: 0.7381 loss_center: 2.8005 loss_reg_x: 0.8866 loss_reg_y: 1.0086 loss: 5.4339 2022/08/26 00:15:08 - mmengine - INFO - Epoch(train) [89][100/125] lr: 9.4701e-04 eta: 1 day, 3:49:01 time: 0.5161 data_time: 0.0181 memory: 9483 loss_text: 0.7568 loss_center: 2.7979 loss_reg_x: 1.0528 loss_reg_y: 0.9637 loss: 5.5712 2022/08/26 00:15:11 - mmengine - INFO - Epoch(train) [89][105/125] lr: 9.4701e-04 eta: 1 day, 3:49:01 time: 0.5862 data_time: 0.0191 memory: 9483 loss_text: 0.7706 loss_center: 2.7974 loss_reg_x: 1.2155 loss_reg_y: 1.0139 loss: 5.7974 2022/08/26 00:15:14 - mmengine - INFO - Epoch(train) [89][110/125] lr: 9.4701e-04 eta: 1 day, 3:48:58 time: 0.5865 data_time: 0.0175 memory: 9483 loss_text: 0.7893 loss_center: 2.7735 loss_reg_x: 1.3357 loss_reg_y: 1.1728 loss: 6.0714 2022/08/26 00:15:16 - mmengine - INFO - Epoch(train) [89][115/125] lr: 9.4701e-04 eta: 1 day, 3:48:58 time: 0.5156 data_time: 0.0132 memory: 9483 loss_text: 0.8298 loss_center: 2.7568 loss_reg_x: 1.3402 loss_reg_y: 1.2284 loss: 6.1553 2022/08/26 00:15:19 - mmengine - INFO - Epoch(train) [89][120/125] lr: 9.4701e-04 eta: 1 day, 3:48:52 time: 0.5681 data_time: 0.0132 memory: 9483 loss_text: 0.8031 loss_center: 2.7953 loss_reg_x: 1.2858 loss_reg_y: 1.2050 loss: 6.0892 2022/08/26 00:15:22 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:15:22 - mmengine - INFO - Epoch(train) [89][125/125] lr: 9.4701e-04 eta: 1 day, 3:48:52 time: 0.5590 data_time: 0.0167 memory: 9483 loss_text: 0.7572 loss_center: 2.8084 loss_reg_x: 1.2224 loss_reg_y: 1.1050 loss: 5.8930 2022/08/26 00:15:25 - mmengine - INFO - Epoch(train) [90][5/125] lr: 9.4641e-04 eta: 1 day, 3:48:52 time: 0.5869 data_time: 0.0825 memory: 9483 loss_text: 0.6946 loss_center: 2.8026 loss_reg_x: 1.0449 loss_reg_y: 0.9730 loss: 5.5151 2022/08/26 00:15:28 - mmengine - INFO - Epoch(train) [90][10/125] lr: 9.4641e-04 eta: 1 day, 3:48:02 time: 0.5873 data_time: 0.0784 memory: 9483 loss_text: 0.7079 loss_center: 2.8025 loss_reg_x: 1.0236 loss_reg_y: 1.1429 loss: 5.6768 2022/08/26 00:15:31 - mmengine - INFO - Epoch(train) [90][15/125] lr: 9.4641e-04 eta: 1 day, 3:48:02 time: 0.5795 data_time: 0.0123 memory: 9483 loss_text: 0.7044 loss_center: 2.7409 loss_reg_x: 1.0317 loss_reg_y: 1.2348 loss: 5.7118 2022/08/26 00:15:33 - mmengine - INFO - Epoch(train) [90][20/125] lr: 9.4641e-04 eta: 1 day, 3:47:57 time: 0.5704 data_time: 0.0169 memory: 9483 loss_text: 0.7008 loss_center: 2.7430 loss_reg_x: 1.1240 loss_reg_y: 1.1896 loss: 5.7574 2022/08/26 00:15:36 - mmengine - INFO - Epoch(train) [90][25/125] lr: 9.4641e-04 eta: 1 day, 3:47:57 time: 0.5082 data_time: 0.0218 memory: 9483 loss_text: 0.7395 loss_center: 2.8269 loss_reg_x: 1.1696 loss_reg_y: 1.1864 loss: 5.9224 2022/08/26 00:15:40 - mmengine - INFO - Epoch(train) [90][30/125] lr: 9.4641e-04 eta: 1 day, 3:48:12 time: 0.6984 data_time: 0.0195 memory: 9483 loss_text: 0.7332 loss_center: 2.8095 loss_reg_x: 1.0918 loss_reg_y: 1.0371 loss: 5.6716 2022/08/26 00:15:43 - mmengine - INFO - Epoch(train) [90][35/125] lr: 9.4641e-04 eta: 1 day, 3:48:12 time: 0.7097 data_time: 0.0170 memory: 9483 loss_text: 0.6940 loss_center: 2.7709 loss_reg_x: 0.9750 loss_reg_y: 0.9311 loss: 5.3710 2022/08/26 00:15:46 - mmengine - INFO - Epoch(train) [90][40/125] lr: 9.4641e-04 eta: 1 day, 3:48:00 time: 0.5258 data_time: 0.0177 memory: 9483 loss_text: 0.6314 loss_center: 2.7807 loss_reg_x: 0.8409 loss_reg_y: 0.8138 loss: 5.0667 2022/08/26 00:15:50 - mmengine - INFO - Epoch(train) [90][45/125] lr: 9.4641e-04 eta: 1 day, 3:48:00 time: 0.6447 data_time: 0.0154 memory: 9483 loss_text: 0.6767 loss_center: 2.7866 loss_reg_x: 0.9590 loss_reg_y: 0.7361 loss: 5.1584 2022/08/26 00:15:52 - mmengine - INFO - Epoch(train) [90][50/125] lr: 9.4641e-04 eta: 1 day, 3:48:10 time: 0.6689 data_time: 0.0139 memory: 9483 loss_text: 0.8812 loss_center: 2.7989 loss_reg_x: 1.2226 loss_reg_y: 1.0421 loss: 5.9448 2022/08/26 00:15:55 - mmengine - INFO - Epoch(train) [90][55/125] lr: 9.4641e-04 eta: 1 day, 3:48:10 time: 0.5367 data_time: 0.0146 memory: 9483 loss_text: 0.9565 loss_center: 2.8311 loss_reg_x: 1.2401 loss_reg_y: 1.1841 loss: 6.2118 2022/08/26 00:15:57 - mmengine - INFO - Epoch(train) [90][60/125] lr: 9.4641e-04 eta: 1 day, 3:47:55 time: 0.5106 data_time: 0.0164 memory: 9483 loss_text: 0.8408 loss_center: 2.8268 loss_reg_x: 1.0301 loss_reg_y: 1.0233 loss: 5.7209 2022/08/26 00:16:02 - mmengine - INFO - Epoch(train) [90][65/125] lr: 9.4641e-04 eta: 1 day, 3:47:55 time: 0.6618 data_time: 0.0169 memory: 9483 loss_text: 0.7356 loss_center: 2.8035 loss_reg_x: 0.9726 loss_reg_y: 1.0847 loss: 5.5964 2022/08/26 00:16:04 - mmengine - INFO - Epoch(train) [90][70/125] lr: 9.4641e-04 eta: 1 day, 3:48:02 time: 0.6462 data_time: 0.0146 memory: 9483 loss_text: 0.8782 loss_center: 2.8162 loss_reg_x: 1.1866 loss_reg_y: 1.4857 loss: 6.3667 2022/08/26 00:16:06 - mmengine - INFO - Epoch(train) [90][75/125] lr: 9.4641e-04 eta: 1 day, 3:48:02 time: 0.4748 data_time: 0.0132 memory: 9483 loss_text: 0.9672 loss_center: 2.8205 loss_reg_x: 1.2495 loss_reg_y: 1.4554 loss: 6.4926 2022/08/26 00:16:10 - mmengine - INFO - Epoch(train) [90][80/125] lr: 9.4641e-04 eta: 1 day, 3:48:03 time: 0.6119 data_time: 0.0202 memory: 9483 loss_text: 0.8124 loss_center: 2.8087 loss_reg_x: 1.1086 loss_reg_y: 1.0919 loss: 5.8216 2022/08/26 00:16:13 - mmengine - INFO - Epoch(train) [90][85/125] lr: 9.4641e-04 eta: 1 day, 3:48:03 time: 0.6234 data_time: 0.0212 memory: 9483 loss_text: 0.8019 loss_center: 2.8119 loss_reg_x: 1.0662 loss_reg_y: 1.1131 loss: 5.7931 2022/08/26 00:16:15 - mmengine - INFO - Epoch(train) [90][90/125] lr: 9.4641e-04 eta: 1 day, 3:47:47 time: 0.5019 data_time: 0.0144 memory: 9483 loss_text: 0.7774 loss_center: 2.8079 loss_reg_x: 1.0725 loss_reg_y: 1.0845 loss: 5.7422 2022/08/26 00:16:18 - mmengine - INFO - Epoch(train) [90][95/125] lr: 9.4641e-04 eta: 1 day, 3:47:47 time: 0.5010 data_time: 0.0165 memory: 9483 loss_text: 0.8425 loss_center: 2.8105 loss_reg_x: 1.3428 loss_reg_y: 1.1632 loss: 6.1589 2022/08/26 00:16:23 - mmengine - INFO - Epoch(train) [90][100/125] lr: 9.4641e-04 eta: 1 day, 3:48:21 time: 0.8190 data_time: 0.0188 memory: 9483 loss_text: 0.8823 loss_center: 2.8204 loss_reg_x: 1.4518 loss_reg_y: 1.2904 loss: 6.4448 2022/08/26 00:16:26 - mmengine - INFO - Epoch(train) [90][105/125] lr: 9.4641e-04 eta: 1 day, 3:48:21 time: 0.8263 data_time: 0.0155 memory: 9483 loss_text: 0.7902 loss_center: 2.8176 loss_reg_x: 1.2043 loss_reg_y: 1.1541 loss: 5.9662 2022/08/26 00:16:29 - mmengine - INFO - Epoch(train) [90][110/125] lr: 9.4641e-04 eta: 1 day, 3:48:21 time: 0.6055 data_time: 0.0156 memory: 9483 loss_text: 0.8771 loss_center: 2.8148 loss_reg_x: 1.0842 loss_reg_y: 1.0959 loss: 5.8720 2022/08/26 00:16:32 - mmengine - INFO - Epoch(train) [90][115/125] lr: 9.4641e-04 eta: 1 day, 3:48:21 time: 0.5938 data_time: 0.0222 memory: 9483 loss_text: 0.9130 loss_center: 2.8167 loss_reg_x: 1.0351 loss_reg_y: 0.9744 loss: 5.7391 2022/08/26 00:16:34 - mmengine - INFO - Epoch(train) [90][120/125] lr: 9.4641e-04 eta: 1 day, 3:48:06 time: 0.5057 data_time: 0.0191 memory: 9483 loss_text: 0.7919 loss_center: 2.8125 loss_reg_x: 1.0124 loss_reg_y: 0.8821 loss: 5.4989 2022/08/26 00:16:37 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:16:37 - mmengine - INFO - Epoch(train) [90][125/125] lr: 9.4641e-04 eta: 1 day, 3:48:06 time: 0.5046 data_time: 0.0121 memory: 9483 loss_text: 0.7558 loss_center: 2.8029 loss_reg_x: 1.1200 loss_reg_y: 1.0195 loss: 5.6983 2022/08/26 00:16:40 - mmengine - INFO - Epoch(train) [91][5/125] lr: 9.4580e-04 eta: 1 day, 3:48:06 time: 0.6037 data_time: 0.0839 memory: 9483 loss_text: 0.8334 loss_center: 2.8006 loss_reg_x: 1.1214 loss_reg_y: 1.1208 loss: 5.8761 2022/08/26 00:16:43 - mmengine - INFO - Epoch(train) [91][10/125] lr: 9.4580e-04 eta: 1 day, 3:47:23 time: 0.6300 data_time: 0.0869 memory: 9483 loss_text: 0.8871 loss_center: 2.8084 loss_reg_x: 1.0736 loss_reg_y: 1.2668 loss: 6.0359 2022/08/26 00:16:46 - mmengine - INFO - Epoch(train) [91][15/125] lr: 9.4580e-04 eta: 1 day, 3:47:23 time: 0.5217 data_time: 0.0145 memory: 9483 loss_text: 0.8533 loss_center: 2.8185 loss_reg_x: 1.0915 loss_reg_y: 1.2178 loss: 5.9811 2022/08/26 00:16:48 - mmengine - INFO - Epoch(train) [91][20/125] lr: 9.4580e-04 eta: 1 day, 3:47:08 time: 0.5126 data_time: 0.0129 memory: 9483 loss_text: 0.7891 loss_center: 2.8096 loss_reg_x: 1.0333 loss_reg_y: 0.9789 loss: 5.6109 2022/08/26 00:16:52 - mmengine - INFO - Epoch(train) [91][25/125] lr: 9.4580e-04 eta: 1 day, 3:47:08 time: 0.6393 data_time: 0.0253 memory: 9483 loss_text: 0.7785 loss_center: 2.7994 loss_reg_x: 1.0901 loss_reg_y: 0.9827 loss: 5.6507 2022/08/26 00:16:54 - mmengine - INFO - Epoch(train) [91][30/125] lr: 9.4580e-04 eta: 1 day, 3:47:12 time: 0.6272 data_time: 0.0275 memory: 9483 loss_text: 0.7534 loss_center: 2.8043 loss_reg_x: 1.1425 loss_reg_y: 0.9858 loss: 5.6860 2022/08/26 00:16:57 - mmengine - INFO - Epoch(train) [91][35/125] lr: 9.4580e-04 eta: 1 day, 3:47:12 time: 0.4989 data_time: 0.0156 memory: 9483 loss_text: 0.7490 loss_center: 2.8055 loss_reg_x: 1.0262 loss_reg_y: 0.8778 loss: 5.4585 2022/08/26 00:17:00 - mmengine - INFO - Epoch(train) [91][40/125] lr: 9.4580e-04 eta: 1 day, 3:47:08 time: 0.5772 data_time: 0.0121 memory: 9483 loss_text: 0.7728 loss_center: 2.7982 loss_reg_x: 1.1149 loss_reg_y: 1.0464 loss: 5.7322 2022/08/26 00:17:02 - mmengine - INFO - Epoch(train) [91][45/125] lr: 9.4580e-04 eta: 1 day, 3:47:08 time: 0.5488 data_time: 0.0128 memory: 9483 loss_text: 0.7482 loss_center: 2.8141 loss_reg_x: 1.1760 loss_reg_y: 1.2172 loss: 5.9556 2022/08/26 00:17:05 - mmengine - INFO - Epoch(train) [91][50/125] lr: 9.4580e-04 eta: 1 day, 3:46:47 time: 0.4741 data_time: 0.0176 memory: 9483 loss_text: 0.7113 loss_center: 2.8218 loss_reg_x: 1.0180 loss_reg_y: 1.1099 loss: 5.6610 2022/08/26 00:17:08 - mmengine - INFO - Epoch(train) [91][55/125] lr: 9.4580e-04 eta: 1 day, 3:46:47 time: 0.5134 data_time: 0.0168 memory: 9483 loss_text: 0.6805 loss_center: 2.7990 loss_reg_x: 1.0474 loss_reg_y: 1.0605 loss: 5.5875 2022/08/26 00:17:12 - mmengine - INFO - Epoch(train) [91][60/125] lr: 9.4580e-04 eta: 1 day, 3:46:55 time: 0.6539 data_time: 0.0165 memory: 9483 loss_text: 0.7030 loss_center: 2.7793 loss_reg_x: 1.0130 loss_reg_y: 0.9499 loss: 5.4451 2022/08/26 00:17:14 - mmengine - INFO - Epoch(train) [91][65/125] lr: 9.4580e-04 eta: 1 day, 3:46:55 time: 0.6355 data_time: 0.0167 memory: 9483 loss_text: 0.7759 loss_center: 2.7971 loss_reg_x: 0.9665 loss_reg_y: 0.8943 loss: 5.4338 2022/08/26 00:17:17 - mmengine - INFO - Epoch(train) [91][70/125] lr: 9.4580e-04 eta: 1 day, 3:46:41 time: 0.5124 data_time: 0.0150 memory: 9483 loss_text: 0.7494 loss_center: 2.7986 loss_reg_x: 0.8929 loss_reg_y: 0.9196 loss: 5.3604 2022/08/26 00:17:21 - mmengine - INFO - Epoch(train) [91][75/125] lr: 9.4580e-04 eta: 1 day, 3:46:41 time: 0.6907 data_time: 0.0171 memory: 9483 loss_text: 0.6863 loss_center: 2.7853 loss_reg_x: 1.3148 loss_reg_y: 1.0156 loss: 5.8020 2022/08/26 00:17:24 - mmengine - INFO - Epoch(train) [91][80/125] lr: 9.4580e-04 eta: 1 day, 3:46:54 time: 0.6899 data_time: 0.0148 memory: 9483 loss_text: 0.8367 loss_center: 2.8092 loss_reg_x: 1.6378 loss_reg_y: 1.2011 loss: 6.4848 2022/08/26 00:17:26 - mmengine - INFO - Epoch(train) [91][85/125] lr: 9.4580e-04 eta: 1 day, 3:46:54 time: 0.5203 data_time: 0.0130 memory: 9483 loss_text: 0.9816 loss_center: 2.8125 loss_reg_x: 1.4637 loss_reg_y: 1.2353 loss: 6.4932 2022/08/26 00:17:29 - mmengine - INFO - Epoch(train) [91][90/125] lr: 9.4580e-04 eta: 1 day, 3:46:41 time: 0.5180 data_time: 0.0219 memory: 9483 loss_text: 0.9208 loss_center: 2.7971 loss_reg_x: 1.4693 loss_reg_y: 1.1276 loss: 6.3149 2022/08/26 00:17:31 - mmengine - INFO - Epoch(train) [91][95/125] lr: 9.4580e-04 eta: 1 day, 3:46:41 time: 0.5113 data_time: 0.0221 memory: 9483 loss_text: 0.8775 loss_center: 2.7910 loss_reg_x: 1.2538 loss_reg_y: 0.9904 loss: 5.9127 2022/08/26 00:17:34 - mmengine - INFO - Epoch(train) [91][100/125] lr: 9.4580e-04 eta: 1 day, 3:46:25 time: 0.4994 data_time: 0.0172 memory: 9483 loss_text: 0.8341 loss_center: 2.8067 loss_reg_x: 1.2048 loss_reg_y: 1.1189 loss: 5.9645 2022/08/26 00:17:36 - mmengine - INFO - Epoch(train) [91][105/125] lr: 9.4580e-04 eta: 1 day, 3:46:25 time: 0.4886 data_time: 0.0164 memory: 9483 loss_text: 0.7972 loss_center: 2.8073 loss_reg_x: 1.2430 loss_reg_y: 1.1477 loss: 5.9953 2022/08/26 00:17:41 - mmengine - INFO - Epoch(train) [91][110/125] lr: 9.4580e-04 eta: 1 day, 3:46:38 time: 0.6896 data_time: 0.0124 memory: 9483 loss_text: 0.8555 loss_center: 2.7873 loss_reg_x: 1.3001 loss_reg_y: 1.0562 loss: 5.9990 2022/08/26 00:17:43 - mmengine - INFO - Epoch(train) [91][115/125] lr: 9.4580e-04 eta: 1 day, 3:46:38 time: 0.7219 data_time: 0.0221 memory: 9483 loss_text: 0.8802 loss_center: 2.7922 loss_reg_x: 1.4572 loss_reg_y: 0.9818 loss: 6.1113 2022/08/26 00:17:46 - mmengine - INFO - Epoch(train) [91][120/125] lr: 9.4580e-04 eta: 1 day, 3:46:24 time: 0.5121 data_time: 0.0219 memory: 9483 loss_text: 0.8534 loss_center: 2.7604 loss_reg_x: 1.2926 loss_reg_y: 0.9293 loss: 5.8357 2022/08/26 00:17:48 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:17:48 - mmengine - INFO - Epoch(train) [91][125/125] lr: 9.4580e-04 eta: 1 day, 3:46:24 time: 0.5096 data_time: 0.0123 memory: 9483 loss_text: 0.8629 loss_center: 2.7545 loss_reg_x: 1.1465 loss_reg_y: 1.0813 loss: 5.8452 2022/08/26 00:17:52 - mmengine - INFO - Epoch(train) [92][5/125] lr: 9.4520e-04 eta: 1 day, 3:46:24 time: 0.6050 data_time: 0.1003 memory: 9483 loss_text: 0.8624 loss_center: 2.7908 loss_reg_x: 1.0626 loss_reg_y: 0.9970 loss: 5.7129 2022/08/26 00:17:54 - mmengine - INFO - Epoch(train) [92][10/125] lr: 9.4520e-04 eta: 1 day, 3:45:35 time: 0.5908 data_time: 0.1011 memory: 9483 loss_text: 0.7871 loss_center: 2.7930 loss_reg_x: 1.0491 loss_reg_y: 0.8653 loss: 5.4945 2022/08/26 00:17:57 - mmengine - INFO - Epoch(train) [92][15/125] lr: 9.4520e-04 eta: 1 day, 3:45:35 time: 0.5346 data_time: 0.0128 memory: 9483 loss_text: 0.7886 loss_center: 2.8101 loss_reg_x: 1.1358 loss_reg_y: 1.0348 loss: 5.7694 2022/08/26 00:18:00 - mmengine - INFO - Epoch(train) [92][20/125] lr: 9.4520e-04 eta: 1 day, 3:45:28 time: 0.5598 data_time: 0.0227 memory: 9483 loss_text: 0.8473 loss_center: 2.8045 loss_reg_x: 1.0964 loss_reg_y: 1.0696 loss: 5.8178 2022/08/26 00:18:03 - mmengine - INFO - Epoch(train) [92][25/125] lr: 9.4520e-04 eta: 1 day, 3:45:28 time: 0.5740 data_time: 0.0266 memory: 9483 loss_text: 0.7792 loss_center: 2.7554 loss_reg_x: 1.0325 loss_reg_y: 0.8994 loss: 5.4664 2022/08/26 00:18:05 - mmengine - INFO - Epoch(train) [92][30/125] lr: 9.4520e-04 eta: 1 day, 3:45:18 time: 0.5423 data_time: 0.0238 memory: 9483 loss_text: 0.7155 loss_center: 2.7697 loss_reg_x: 0.9785 loss_reg_y: 0.9024 loss: 5.3661 2022/08/26 00:18:08 - mmengine - INFO - Epoch(train) [92][35/125] lr: 9.4520e-04 eta: 1 day, 3:45:18 time: 0.4982 data_time: 0.0202 memory: 9483 loss_text: 0.7496 loss_center: 2.7903 loss_reg_x: 0.9754 loss_reg_y: 0.9069 loss: 5.4222 2022/08/26 00:18:11 - mmengine - INFO - Epoch(train) [92][40/125] lr: 9.4520e-04 eta: 1 day, 3:45:09 time: 0.5460 data_time: 0.0154 memory: 9483 loss_text: 0.7301 loss_center: 2.7721 loss_reg_x: 1.0021 loss_reg_y: 0.9695 loss: 5.4739 2022/08/26 00:18:13 - mmengine - INFO - Epoch(train) [92][45/125] lr: 9.4520e-04 eta: 1 day, 3:45:09 time: 0.5488 data_time: 0.0156 memory: 9483 loss_text: 0.6638 loss_center: 2.7799 loss_reg_x: 1.0172 loss_reg_y: 1.0656 loss: 5.5266 2022/08/26 00:18:16 - mmengine - INFO - Epoch(train) [92][50/125] lr: 9.4520e-04 eta: 1 day, 3:45:02 time: 0.5564 data_time: 0.0177 memory: 9483 loss_text: 0.7303 loss_center: 2.7865 loss_reg_x: 1.0293 loss_reg_y: 0.9379 loss: 5.4840 2022/08/26 00:18:20 - mmengine - INFO - Epoch(train) [92][55/125] lr: 9.4520e-04 eta: 1 day, 3:45:02 time: 0.6831 data_time: 0.0275 memory: 9483 loss_text: 0.8400 loss_center: 2.8083 loss_reg_x: 1.3884 loss_reg_y: 1.3653 loss: 6.4020 2022/08/26 00:18:23 - mmengine - INFO - Epoch(train) [92][60/125] lr: 9.4520e-04 eta: 1 day, 3:45:08 time: 0.6461 data_time: 0.0236 memory: 9483 loss_text: 0.7706 loss_center: 2.7951 loss_reg_x: 1.3583 loss_reg_y: 1.4174 loss: 6.3413 2022/08/26 00:18:25 - mmengine - INFO - Epoch(train) [92][65/125] lr: 9.4520e-04 eta: 1 day, 3:45:08 time: 0.4977 data_time: 0.0161 memory: 9483 loss_text: 0.7643 loss_center: 2.8006 loss_reg_x: 1.1450 loss_reg_y: 1.2172 loss: 5.9270 2022/08/26 00:18:28 - mmengine - INFO - Epoch(train) [92][70/125] lr: 9.4520e-04 eta: 1 day, 3:44:53 time: 0.5009 data_time: 0.0168 memory: 9483 loss_text: 0.8799 loss_center: 2.8413 loss_reg_x: 1.3075 loss_reg_y: 1.4004 loss: 6.4290 2022/08/26 00:18:31 - mmengine - INFO - Epoch(train) [92][75/125] lr: 9.4520e-04 eta: 1 day, 3:44:53 time: 0.5317 data_time: 0.0144 memory: 9483 loss_text: 0.7890 loss_center: 2.8228 loss_reg_x: 1.1350 loss_reg_y: 1.1215 loss: 5.8683 2022/08/26 00:18:33 - mmengine - INFO - Epoch(train) [92][80/125] lr: 9.4520e-04 eta: 1 day, 3:44:40 time: 0.5205 data_time: 0.0131 memory: 9483 loss_text: 0.7358 loss_center: 2.7903 loss_reg_x: 1.0556 loss_reg_y: 0.9868 loss: 5.5685 2022/08/26 00:18:36 - mmengine - INFO - Epoch(train) [92][85/125] lr: 9.4520e-04 eta: 1 day, 3:44:40 time: 0.5012 data_time: 0.0134 memory: 9483 loss_text: 0.9071 loss_center: 2.7811 loss_reg_x: 1.1915 loss_reg_y: 1.1528 loss: 6.0325 2022/08/26 00:18:38 - mmengine - INFO - Epoch(train) [92][90/125] lr: 9.4520e-04 eta: 1 day, 3:44:23 time: 0.4961 data_time: 0.0147 memory: 9483 loss_text: 0.8996 loss_center: 2.7977 loss_reg_x: 1.1908 loss_reg_y: 1.0994 loss: 5.9875 2022/08/26 00:18:41 - mmengine - INFO - Epoch(train) [92][95/125] lr: 9.4520e-04 eta: 1 day, 3:44:23 time: 0.5880 data_time: 0.0154 memory: 9483 loss_text: 0.8077 loss_center: 2.7901 loss_reg_x: 1.0796 loss_reg_y: 0.9268 loss: 5.6042 2022/08/26 00:18:44 - mmengine - INFO - Epoch(train) [92][100/125] lr: 9.4520e-04 eta: 1 day, 3:44:27 time: 0.6327 data_time: 0.0143 memory: 9483 loss_text: 0.8407 loss_center: 2.7950 loss_reg_x: 1.1757 loss_reg_y: 1.1298 loss: 5.9413 2022/08/26 00:18:47 - mmengine - INFO - Epoch(train) [92][105/125] lr: 9.4520e-04 eta: 1 day, 3:44:27 time: 0.5727 data_time: 0.0137 memory: 9483 loss_text: 0.8523 loss_center: 2.8380 loss_reg_x: 1.3096 loss_reg_y: 1.2663 loss: 6.2661 2022/08/26 00:18:50 - mmengine - INFO - Epoch(train) [92][110/125] lr: 9.4520e-04 eta: 1 day, 3:44:21 time: 0.5657 data_time: 0.0172 memory: 9483 loss_text: 0.9009 loss_center: 2.8195 loss_reg_x: 1.2768 loss_reg_y: 1.1734 loss: 6.1707 2022/08/26 00:18:52 - mmengine - INFO - Epoch(train) [92][115/125] lr: 9.4520e-04 eta: 1 day, 3:44:21 time: 0.5302 data_time: 0.0164 memory: 9483 loss_text: 0.8830 loss_center: 2.8010 loss_reg_x: 1.2232 loss_reg_y: 1.2134 loss: 6.1206 2022/08/26 00:18:55 - mmengine - INFO - Epoch(train) [92][120/125] lr: 9.4520e-04 eta: 1 day, 3:44:06 time: 0.5041 data_time: 0.0130 memory: 9483 loss_text: 0.8615 loss_center: 2.8008 loss_reg_x: 1.1724 loss_reg_y: 1.1038 loss: 5.9385 2022/08/26 00:18:57 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:18:57 - mmengine - INFO - Epoch(train) [92][125/125] lr: 9.4520e-04 eta: 1 day, 3:44:06 time: 0.4948 data_time: 0.0140 memory: 9483 loss_text: 0.8716 loss_center: 2.8062 loss_reg_x: 1.3017 loss_reg_y: 1.0792 loss: 6.0586 2022/08/26 00:19:04 - mmengine - INFO - Epoch(train) [93][5/125] lr: 9.4460e-04 eta: 1 day, 3:44:06 time: 0.8666 data_time: 0.0692 memory: 9483 loss_text: 0.9450 loss_center: 2.8182 loss_reg_x: 1.4222 loss_reg_y: 1.1747 loss: 6.3600 2022/08/26 00:19:07 - mmengine - INFO - Epoch(train) [93][10/125] lr: 9.4460e-04 eta: 1 day, 3:44:06 time: 0.9059 data_time: 0.0675 memory: 9483 loss_text: 0.9437 loss_center: 2.8023 loss_reg_x: 1.3220 loss_reg_y: 1.2487 loss: 6.3167 2022/08/26 00:19:10 - mmengine - INFO - Epoch(train) [93][15/125] lr: 9.4460e-04 eta: 1 day, 3:44:06 time: 0.5945 data_time: 0.0159 memory: 9483 loss_text: 0.8584 loss_center: 2.7988 loss_reg_x: 1.2534 loss_reg_y: 1.2918 loss: 6.2024 2022/08/26 00:19:12 - mmengine - INFO - Epoch(train) [93][20/125] lr: 9.4460e-04 eta: 1 day, 3:44:00 time: 0.5650 data_time: 0.0205 memory: 9483 loss_text: 0.9339 loss_center: 2.8034 loss_reg_x: 1.1670 loss_reg_y: 1.1597 loss: 6.0640 2022/08/26 00:19:15 - mmengine - INFO - Epoch(train) [93][25/125] lr: 9.4460e-04 eta: 1 day, 3:44:00 time: 0.5246 data_time: 0.0177 memory: 9483 loss_text: 0.9634 loss_center: 2.7980 loss_reg_x: 1.2845 loss_reg_y: 1.1265 loss: 6.1724 2022/08/26 00:19:17 - mmengine - INFO - Epoch(train) [93][30/125] lr: 9.4460e-04 eta: 1 day, 3:43:45 time: 0.5060 data_time: 0.0141 memory: 9483 loss_text: 0.9300 loss_center: 2.8183 loss_reg_x: 1.5147 loss_reg_y: 1.4664 loss: 6.7294 2022/08/26 00:19:20 - mmengine - INFO - Epoch(train) [93][35/125] lr: 9.4460e-04 eta: 1 day, 3:43:45 time: 0.5020 data_time: 0.0133 memory: 9483 loss_text: 1.0477 loss_center: 2.8279 loss_reg_x: 1.7987 loss_reg_y: 2.0943 loss: 7.7687 2022/08/26 00:19:23 - mmengine - INFO - Epoch(train) [93][40/125] lr: 9.4460e-04 eta: 1 day, 3:43:35 time: 0.5364 data_time: 0.0148 memory: 9483 loss_text: 1.0656 loss_center: 2.8149 loss_reg_x: 1.6877 loss_reg_y: 1.8229 loss: 7.3911 2022/08/26 00:19:25 - mmengine - INFO - Epoch(train) [93][45/125] lr: 9.4460e-04 eta: 1 day, 3:43:35 time: 0.5030 data_time: 0.0148 memory: 9483 loss_text: 0.9367 loss_center: 2.8328 loss_reg_x: 1.1393 loss_reg_y: 1.2399 loss: 6.1488 2022/08/26 00:19:28 - mmengine - INFO - Epoch(train) [93][50/125] lr: 9.4460e-04 eta: 1 day, 3:43:20 time: 0.5063 data_time: 0.0165 memory: 9483 loss_text: 0.9031 loss_center: 2.8229 loss_reg_x: 1.2428 loss_reg_y: 1.3499 loss: 6.3186 2022/08/26 00:19:30 - mmengine - INFO - Epoch(train) [93][55/125] lr: 9.4460e-04 eta: 1 day, 3:43:20 time: 0.5305 data_time: 0.0201 memory: 9483 loss_text: 0.8961 loss_center: 2.8030 loss_reg_x: 1.3780 loss_reg_y: 1.2770 loss: 6.3540 2022/08/26 00:19:33 - mmengine - INFO - Epoch(train) [93][60/125] lr: 9.4460e-04 eta: 1 day, 3:43:10 time: 0.5422 data_time: 0.0183 memory: 9483 loss_text: 0.8600 loss_center: 2.7976 loss_reg_x: 1.1389 loss_reg_y: 1.0483 loss: 5.8449 2022/08/26 00:19:36 - mmengine - INFO - Epoch(train) [93][65/125] lr: 9.4460e-04 eta: 1 day, 3:43:10 time: 0.5308 data_time: 0.0163 memory: 9483 loss_text: 0.8223 loss_center: 2.8182 loss_reg_x: 1.1336 loss_reg_y: 1.1776 loss: 5.9516 2022/08/26 00:19:38 - mmengine - INFO - Epoch(train) [93][70/125] lr: 9.4460e-04 eta: 1 day, 3:42:55 time: 0.5085 data_time: 0.0152 memory: 9483 loss_text: 0.7955 loss_center: 2.8344 loss_reg_x: 1.1710 loss_reg_y: 1.1833 loss: 5.9842 2022/08/26 00:19:43 - mmengine - INFO - Epoch(train) [93][75/125] lr: 9.4460e-04 eta: 1 day, 3:42:55 time: 0.7492 data_time: 0.0720 memory: 9483 loss_text: 0.7697 loss_center: 2.8149 loss_reg_x: 1.1205 loss_reg_y: 0.9837 loss: 5.6888 2022/08/26 00:19:46 - mmengine - INFO - Epoch(train) [93][80/125] lr: 9.4460e-04 eta: 1 day, 3:43:18 time: 0.7546 data_time: 0.0737 memory: 9483 loss_text: 0.8217 loss_center: 2.8073 loss_reg_x: 1.2328 loss_reg_y: 1.0668 loss: 5.9287 2022/08/26 00:19:48 - mmengine - INFO - Epoch(train) [93][85/125] lr: 9.4460e-04 eta: 1 day, 3:43:18 time: 0.5103 data_time: 0.0158 memory: 9483 loss_text: 0.8337 loss_center: 2.7840 loss_reg_x: 1.1256 loss_reg_y: 1.0464 loss: 5.7898 2022/08/26 00:19:51 - mmengine - INFO - Epoch(train) [93][90/125] lr: 9.4460e-04 eta: 1 day, 3:43:06 time: 0.5220 data_time: 0.0187 memory: 9483 loss_text: 0.7957 loss_center: 2.7922 loss_reg_x: 1.0210 loss_reg_y: 0.9878 loss: 5.5968 2022/08/26 00:19:53 - mmengine - INFO - Epoch(train) [93][95/125] lr: 9.4460e-04 eta: 1 day, 3:43:06 time: 0.5210 data_time: 0.0183 memory: 9483 loss_text: 0.7631 loss_center: 2.8088 loss_reg_x: 1.0832 loss_reg_y: 1.0028 loss: 5.6580 2022/08/26 00:19:56 - mmengine - INFO - Epoch(train) [93][100/125] lr: 9.4460e-04 eta: 1 day, 3:42:51 time: 0.5050 data_time: 0.0149 memory: 9483 loss_text: 0.7336 loss_center: 2.7470 loss_reg_x: 0.9801 loss_reg_y: 0.9995 loss: 5.4603 2022/08/26 00:19:59 - mmengine - INFO - Epoch(train) [93][105/125] lr: 9.4460e-04 eta: 1 day, 3:42:51 time: 0.5226 data_time: 0.0142 memory: 9483 loss_text: 0.8480 loss_center: 2.7651 loss_reg_x: 0.9320 loss_reg_y: 1.0441 loss: 5.5892 2022/08/26 00:20:02 - mmengine - INFO - Epoch(train) [93][110/125] lr: 9.4460e-04 eta: 1 day, 3:42:46 time: 0.5763 data_time: 0.0308 memory: 9483 loss_text: 0.9179 loss_center: 2.8282 loss_reg_x: 1.0581 loss_reg_y: 1.0941 loss: 5.8984 2022/08/26 00:20:04 - mmengine - INFO - Epoch(train) [93][115/125] lr: 9.4460e-04 eta: 1 day, 3:42:46 time: 0.5514 data_time: 0.0361 memory: 9483 loss_text: 0.8124 loss_center: 2.7921 loss_reg_x: 0.9833 loss_reg_y: 0.9169 loss: 5.5048 2022/08/26 00:20:07 - mmengine - INFO - Epoch(train) [93][120/125] lr: 9.4460e-04 eta: 1 day, 3:42:31 time: 0.5023 data_time: 0.0196 memory: 9483 loss_text: 0.8153 loss_center: 2.7892 loss_reg_x: 1.0523 loss_reg_y: 1.0689 loss: 5.7257 2022/08/26 00:20:09 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:20:09 - mmengine - INFO - Epoch(train) [93][125/125] lr: 9.4460e-04 eta: 1 day, 3:42:31 time: 0.5218 data_time: 0.0151 memory: 9483 loss_text: 0.8319 loss_center: 2.7532 loss_reg_x: 1.1821 loss_reg_y: 1.2779 loss: 6.0452 2022/08/26 00:20:13 - mmengine - INFO - Epoch(train) [94][5/125] lr: 9.4399e-04 eta: 1 day, 3:42:31 time: 0.5925 data_time: 0.0812 memory: 9483 loss_text: 0.7639 loss_center: 2.7473 loss_reg_x: 1.1406 loss_reg_y: 1.1450 loss: 5.7968 2022/08/26 00:20:15 - mmengine - INFO - Epoch(train) [94][10/125] lr: 9.4399e-04 eta: 1 day, 3:41:44 time: 0.5963 data_time: 0.0831 memory: 9483 loss_text: 0.7815 loss_center: 2.7893 loss_reg_x: 1.1873 loss_reg_y: 1.2111 loss: 5.9692 2022/08/26 00:20:18 - mmengine - INFO - Epoch(train) [94][15/125] lr: 9.4399e-04 eta: 1 day, 3:41:44 time: 0.5294 data_time: 0.0156 memory: 9483 loss_text: 0.8329 loss_center: 2.7881 loss_reg_x: 1.1131 loss_reg_y: 1.1511 loss: 5.8852 2022/08/26 00:20:22 - mmengine - INFO - Epoch(train) [94][20/125] lr: 9.4399e-04 eta: 1 day, 3:41:55 time: 0.6804 data_time: 0.0132 memory: 9483 loss_text: 0.9760 loss_center: 2.8274 loss_reg_x: 1.1523 loss_reg_y: 1.2116 loss: 6.1672 2022/08/26 00:20:25 - mmengine - INFO - Epoch(train) [94][25/125] lr: 9.4399e-04 eta: 1 day, 3:41:55 time: 0.6680 data_time: 0.0135 memory: 9483 loss_text: 0.9864 loss_center: 2.8304 loss_reg_x: 1.1380 loss_reg_y: 1.1597 loss: 6.1145 2022/08/26 00:20:27 - mmengine - INFO - Epoch(train) [94][30/125] lr: 9.4399e-04 eta: 1 day, 3:41:40 time: 0.5055 data_time: 0.0176 memory: 9483 loss_text: 0.9483 loss_center: 2.8330 loss_reg_x: 1.1683 loss_reg_y: 1.0449 loss: 5.9945 2022/08/26 00:20:30 - mmengine - INFO - Epoch(train) [94][35/125] lr: 9.4399e-04 eta: 1 day, 3:41:40 time: 0.4994 data_time: 0.0183 memory: 9483 loss_text: 0.9740 loss_center: 2.8346 loss_reg_x: 1.3961 loss_reg_y: 1.3146 loss: 6.5192 2022/08/26 00:20:32 - mmengine - INFO - Epoch(train) [94][40/125] lr: 9.4399e-04 eta: 1 day, 3:41:25 time: 0.4994 data_time: 0.0141 memory: 9483 loss_text: 0.8477 loss_center: 2.8145 loss_reg_x: 1.2675 loss_reg_y: 1.1991 loss: 6.1287 2022/08/26 00:20:35 - mmengine - INFO - Epoch(train) [94][45/125] lr: 9.4399e-04 eta: 1 day, 3:41:25 time: 0.5216 data_time: 0.0135 memory: 9483 loss_text: 0.8239 loss_center: 2.8238 loss_reg_x: 1.2607 loss_reg_y: 1.1984 loss: 6.1068 2022/08/26 00:20:37 - mmengine - INFO - Epoch(train) [94][50/125] lr: 9.4399e-04 eta: 1 day, 3:41:11 time: 0.5181 data_time: 0.0136 memory: 9483 loss_text: 0.8630 loss_center: 2.8167 loss_reg_x: 1.3971 loss_reg_y: 1.5262 loss: 6.6030 2022/08/26 00:20:40 - mmengine - INFO - Epoch(train) [94][55/125] lr: 9.4399e-04 eta: 1 day, 3:41:11 time: 0.5443 data_time: 0.0343 memory: 9483 loss_text: 0.8907 loss_center: 2.8061 loss_reg_x: 1.2674 loss_reg_y: 1.3525 loss: 6.3167 2022/08/26 00:20:43 - mmengine - INFO - Epoch(train) [94][60/125] lr: 9.4399e-04 eta: 1 day, 3:41:05 time: 0.5640 data_time: 0.0351 memory: 9483 loss_text: 0.7782 loss_center: 2.7499 loss_reg_x: 1.2560 loss_reg_y: 1.1360 loss: 5.9201 2022/08/26 00:20:46 - mmengine - INFO - Epoch(train) [94][65/125] lr: 9.4399e-04 eta: 1 day, 3:41:05 time: 0.5354 data_time: 0.0138 memory: 9483 loss_text: 0.7032 loss_center: 2.7446 loss_reg_x: 1.1795 loss_reg_y: 1.0317 loss: 5.6590 2022/08/26 00:20:48 - mmengine - INFO - Epoch(train) [94][70/125] lr: 9.4399e-04 eta: 1 day, 3:40:52 time: 0.5134 data_time: 0.0139 memory: 9483 loss_text: 0.8255 loss_center: 2.7986 loss_reg_x: 1.1848 loss_reg_y: 1.0940 loss: 5.9028 2022/08/26 00:20:51 - mmengine - INFO - Epoch(train) [94][75/125] lr: 9.4399e-04 eta: 1 day, 3:40:52 time: 0.5331 data_time: 0.0148 memory: 9483 loss_text: 0.8297 loss_center: 2.7382 loss_reg_x: 1.1989 loss_reg_y: 1.0840 loss: 5.8509 2022/08/26 00:20:54 - mmengine - INFO - Epoch(train) [94][80/125] lr: 9.4399e-04 eta: 1 day, 3:40:44 time: 0.5513 data_time: 0.0143 memory: 9483 loss_text: 0.8210 loss_center: 2.7424 loss_reg_x: 1.1861 loss_reg_y: 0.9723 loss: 5.7219 2022/08/26 00:20:59 - mmengine - INFO - Epoch(train) [94][85/125] lr: 9.4399e-04 eta: 1 day, 3:40:44 time: 0.8036 data_time: 0.0241 memory: 9483 loss_text: 0.7849 loss_center: 2.8101 loss_reg_x: 1.2693 loss_reg_y: 1.2050 loss: 6.0692 2022/08/26 00:21:02 - mmengine - INFO - Epoch(train) [94][90/125] lr: 9.4399e-04 eta: 1 day, 3:41:10 time: 0.7772 data_time: 0.0252 memory: 9483 loss_text: 0.7466 loss_center: 2.8177 loss_reg_x: 1.2401 loss_reg_y: 1.2405 loss: 6.0450 2022/08/26 00:21:04 - mmengine - INFO - Epoch(train) [94][95/125] lr: 9.4399e-04 eta: 1 day, 3:41:10 time: 0.4895 data_time: 0.0138 memory: 9483 loss_text: 0.8208 loss_center: 2.8268 loss_reg_x: 1.4191 loss_reg_y: 1.2072 loss: 6.2739 2022/08/26 00:21:07 - mmengine - INFO - Epoch(train) [94][100/125] lr: 9.4399e-04 eta: 1 day, 3:40:55 time: 0.5071 data_time: 0.0153 memory: 9483 loss_text: 0.8138 loss_center: 2.8181 loss_reg_x: 1.3589 loss_reg_y: 1.1998 loss: 6.1905 2022/08/26 00:21:09 - mmengine - INFO - Epoch(train) [94][105/125] lr: 9.4399e-04 eta: 1 day, 3:40:55 time: 0.5166 data_time: 0.0232 memory: 9483 loss_text: 0.7739 loss_center: 2.8065 loss_reg_x: 1.0483 loss_reg_y: 1.0102 loss: 5.6390 2022/08/26 00:21:12 - mmengine - INFO - Epoch(train) [94][110/125] lr: 9.4399e-04 eta: 1 day, 3:40:39 time: 0.5001 data_time: 0.0224 memory: 9483 loss_text: 0.9057 loss_center: 2.8148 loss_reg_x: 1.0728 loss_reg_y: 1.0951 loss: 5.8884 2022/08/26 00:21:15 - mmengine - INFO - Epoch(train) [94][115/125] lr: 9.4399e-04 eta: 1 day, 3:40:39 time: 0.5388 data_time: 0.0174 memory: 9483 loss_text: 1.0135 loss_center: 2.8338 loss_reg_x: 1.3567 loss_reg_y: 1.3221 loss: 6.5262 2022/08/26 00:21:17 - mmengine - INFO - Epoch(train) [94][120/125] lr: 9.4399e-04 eta: 1 day, 3:40:28 time: 0.5309 data_time: 0.0176 memory: 9483 loss_text: 0.9432 loss_center: 2.8325 loss_reg_x: 1.3870 loss_reg_y: 1.2724 loss: 6.4351 2022/08/26 00:21:19 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:21:19 - mmengine - INFO - Epoch(train) [94][125/125] lr: 9.4399e-04 eta: 1 day, 3:40:28 time: 0.4924 data_time: 0.0177 memory: 9483 loss_text: 0.8661 loss_center: 2.8193 loss_reg_x: 1.2464 loss_reg_y: 1.3383 loss: 6.2702 2022/08/26 00:21:23 - mmengine - INFO - Epoch(train) [95][5/125] lr: 9.4339e-04 eta: 1 day, 3:40:28 time: 0.5777 data_time: 0.0869 memory: 9483 loss_text: 0.8942 loss_center: 2.8157 loss_reg_x: 1.2967 loss_reg_y: 1.2462 loss: 6.2528 2022/08/26 00:21:25 - mmengine - INFO - Epoch(train) [95][10/125] lr: 9.4339e-04 eta: 1 day, 3:39:40 time: 0.5869 data_time: 0.0845 memory: 9483 loss_text: 0.8971 loss_center: 2.8097 loss_reg_x: 1.3242 loss_reg_y: 1.0453 loss: 6.0764 2022/08/26 00:21:28 - mmengine - INFO - Epoch(train) [95][15/125] lr: 9.4339e-04 eta: 1 day, 3:39:40 time: 0.5378 data_time: 0.0168 memory: 9483 loss_text: 0.7782 loss_center: 2.7375 loss_reg_x: 1.2828 loss_reg_y: 1.2402 loss: 6.0387 2022/08/26 00:21:33 - mmengine - INFO - Epoch(train) [95][20/125] lr: 9.4339e-04 eta: 1 day, 3:40:04 time: 0.7646 data_time: 0.0198 memory: 9483 loss_text: 0.7004 loss_center: 2.7280 loss_reg_x: 1.0936 loss_reg_y: 1.2134 loss: 5.7354 2022/08/26 00:21:36 - mmengine - INFO - Epoch(train) [95][25/125] lr: 9.4339e-04 eta: 1 day, 3:40:04 time: 0.7557 data_time: 0.0189 memory: 9483 loss_text: 0.7225 loss_center: 2.7929 loss_reg_x: 0.9656 loss_reg_y: 1.1537 loss: 5.6347 2022/08/26 00:21:39 - mmengine - INFO - Epoch(train) [95][30/125] lr: 9.4339e-04 eta: 1 day, 3:39:56 time: 0.5482 data_time: 0.0180 memory: 9483 loss_text: 0.7666 loss_center: 2.8031 loss_reg_x: 1.1168 loss_reg_y: 1.2412 loss: 5.9276 2022/08/26 00:21:41 - mmengine - INFO - Epoch(train) [95][35/125] lr: 9.4339e-04 eta: 1 day, 3:39:56 time: 0.5555 data_time: 0.0216 memory: 9483 loss_text: 0.7655 loss_center: 2.7991 loss_reg_x: 1.1184 loss_reg_y: 1.0775 loss: 5.7605 2022/08/26 00:21:44 - mmengine - INFO - Epoch(train) [95][40/125] lr: 9.4339e-04 eta: 1 day, 3:39:54 time: 0.5957 data_time: 0.0188 memory: 9483 loss_text: 0.8139 loss_center: 2.7921 loss_reg_x: 1.0172 loss_reg_y: 0.9597 loss: 5.5830 2022/08/26 00:21:47 - mmengine - INFO - Epoch(train) [95][45/125] lr: 9.4339e-04 eta: 1 day, 3:39:54 time: 0.5884 data_time: 0.0142 memory: 9483 loss_text: 0.8150 loss_center: 2.8030 loss_reg_x: 1.1178 loss_reg_y: 1.2080 loss: 5.9439 2022/08/26 00:21:51 - mmengine - INFO - Epoch(train) [95][50/125] lr: 9.4339e-04 eta: 1 day, 3:40:08 time: 0.6977 data_time: 0.0264 memory: 9483 loss_text: 0.7277 loss_center: 2.7830 loss_reg_x: 1.0521 loss_reg_y: 1.0690 loss: 5.6318 2022/08/26 00:21:54 - mmengine - INFO - Epoch(train) [95][55/125] lr: 9.4339e-04 eta: 1 day, 3:40:08 time: 0.7130 data_time: 0.0257 memory: 9483 loss_text: 0.7760 loss_center: 2.7791 loss_reg_x: 1.0602 loss_reg_y: 0.8373 loss: 5.4526 2022/08/26 00:21:56 - mmengine - INFO - Epoch(train) [95][60/125] lr: 9.4339e-04 eta: 1 day, 3:39:53 time: 0.5016 data_time: 0.0135 memory: 9483 loss_text: 0.7857 loss_center: 2.7953 loss_reg_x: 1.0053 loss_reg_y: 0.9406 loss: 5.5269 2022/08/26 00:21:59 - mmengine - INFO - Epoch(train) [95][65/125] lr: 9.4339e-04 eta: 1 day, 3:39:53 time: 0.5216 data_time: 0.0140 memory: 9483 loss_text: 0.7982 loss_center: 2.8042 loss_reg_x: 0.9334 loss_reg_y: 0.9141 loss: 5.4499 2022/08/26 00:22:02 - mmengine - INFO - Epoch(train) [95][70/125] lr: 9.4339e-04 eta: 1 day, 3:39:44 time: 0.5468 data_time: 0.0203 memory: 9483 loss_text: 0.8186 loss_center: 2.8195 loss_reg_x: 1.0722 loss_reg_y: 1.0447 loss: 5.7550 2022/08/26 00:22:05 - mmengine - INFO - Epoch(train) [95][75/125] lr: 9.4339e-04 eta: 1 day, 3:39:44 time: 0.5102 data_time: 0.0208 memory: 9483 loss_text: 0.7768 loss_center: 2.7560 loss_reg_x: 1.0931 loss_reg_y: 1.1953 loss: 5.8211 2022/08/26 00:22:07 - mmengine - INFO - Epoch(train) [95][80/125] lr: 9.4339e-04 eta: 1 day, 3:39:29 time: 0.5021 data_time: 0.0146 memory: 9483 loss_text: 0.8578 loss_center: 2.7690 loss_reg_x: 1.1319 loss_reg_y: 1.1564 loss: 5.9152 2022/08/26 00:22:12 - mmengine - INFO - Epoch(train) [95][85/125] lr: 9.4339e-04 eta: 1 day, 3:39:29 time: 0.7375 data_time: 0.0824 memory: 9483 loss_text: 0.8353 loss_center: 2.8084 loss_reg_x: 1.0956 loss_reg_y: 0.9629 loss: 5.7021 2022/08/26 00:22:14 - mmengine - INFO - Epoch(train) [95][90/125] lr: 9.4339e-04 eta: 1 day, 3:39:47 time: 0.7264 data_time: 0.0854 memory: 9483 loss_text: 0.7851 loss_center: 2.7930 loss_reg_x: 1.1777 loss_reg_y: 1.0939 loss: 5.8498 2022/08/26 00:22:17 - mmengine - INFO - Epoch(train) [95][95/125] lr: 9.4339e-04 eta: 1 day, 3:39:47 time: 0.4867 data_time: 0.0161 memory: 9483 loss_text: 0.8088 loss_center: 2.7980 loss_reg_x: 1.2126 loss_reg_y: 1.2562 loss: 6.0756 2022/08/26 00:22:19 - mmengine - INFO - Epoch(train) [95][100/125] lr: 9.4339e-04 eta: 1 day, 3:39:32 time: 0.5069 data_time: 0.0133 memory: 9483 loss_text: 0.7592 loss_center: 2.7993 loss_reg_x: 1.0828 loss_reg_y: 1.1234 loss: 5.7646 2022/08/26 00:22:22 - mmengine - INFO - Epoch(train) [95][105/125] lr: 9.4339e-04 eta: 1 day, 3:39:32 time: 0.5024 data_time: 0.0152 memory: 9483 loss_text: 0.7099 loss_center: 2.8130 loss_reg_x: 1.0402 loss_reg_y: 1.0669 loss: 5.6300 2022/08/26 00:22:25 - mmengine - INFO - Epoch(train) [95][110/125] lr: 9.4339e-04 eta: 1 day, 3:39:29 time: 0.5834 data_time: 0.0158 memory: 9483 loss_text: 0.7569 loss_center: 2.8166 loss_reg_x: 1.1168 loss_reg_y: 1.1767 loss: 5.8670 2022/08/26 00:22:28 - mmengine - INFO - Epoch(train) [95][115/125] lr: 9.4339e-04 eta: 1 day, 3:39:29 time: 0.5848 data_time: 0.0184 memory: 9483 loss_text: 0.8005 loss_center: 2.8282 loss_reg_x: 1.2099 loss_reg_y: 1.2071 loss: 6.0456 2022/08/26 00:22:30 - mmengine - INFO - Epoch(train) [95][120/125] lr: 9.4339e-04 eta: 1 day, 3:39:15 time: 0.5108 data_time: 0.0240 memory: 9483 loss_text: 0.7182 loss_center: 2.7632 loss_reg_x: 1.1025 loss_reg_y: 1.0141 loss: 5.5981 2022/08/26 00:22:33 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:22:33 - mmengine - INFO - Epoch(train) [95][125/125] lr: 9.4339e-04 eta: 1 day, 3:39:15 time: 0.4943 data_time: 0.0205 memory: 9483 loss_text: 0.8088 loss_center: 2.7609 loss_reg_x: 1.0889 loss_reg_y: 1.0268 loss: 5.6854 2022/08/26 00:22:36 - mmengine - INFO - Epoch(train) [96][5/125] lr: 9.4278e-04 eta: 1 day, 3:39:15 time: 0.5498 data_time: 0.0677 memory: 9483 loss_text: 0.8959 loss_center: 2.8141 loss_reg_x: 1.1312 loss_reg_y: 1.0225 loss: 5.8636 2022/08/26 00:22:38 - mmengine - INFO - Epoch(train) [96][10/125] lr: 9.4278e-04 eta: 1 day, 3:38:27 time: 0.5820 data_time: 0.0692 memory: 9483 loss_text: 0.8011 loss_center: 2.7384 loss_reg_x: 1.0246 loss_reg_y: 0.9176 loss: 5.4817 2022/08/26 00:22:41 - mmengine - INFO - Epoch(train) [96][15/125] lr: 9.4278e-04 eta: 1 day, 3:38:27 time: 0.5655 data_time: 0.0178 memory: 9483 loss_text: 0.8129 loss_center: 2.7361 loss_reg_x: 0.9412 loss_reg_y: 0.9468 loss: 5.4369 2022/08/26 00:22:44 - mmengine - INFO - Epoch(train) [96][20/125] lr: 9.4278e-04 eta: 1 day, 3:38:21 time: 0.5611 data_time: 0.0158 memory: 9483 loss_text: 0.8556 loss_center: 2.8074 loss_reg_x: 1.1215 loss_reg_y: 1.0825 loss: 5.8671 2022/08/26 00:22:46 - mmengine - INFO - Epoch(train) [96][25/125] lr: 9.4278e-04 eta: 1 day, 3:38:21 time: 0.5018 data_time: 0.0139 memory: 9483 loss_text: 0.7982 loss_center: 2.8142 loss_reg_x: 1.2197 loss_reg_y: 1.1780 loss: 6.0102 2022/08/26 00:22:51 - mmengine - INFO - Epoch(train) [96][30/125] lr: 9.4278e-04 eta: 1 day, 3:38:37 time: 0.7137 data_time: 0.0266 memory: 9483 loss_text: 0.6905 loss_center: 2.7489 loss_reg_x: 1.0154 loss_reg_y: 1.0857 loss: 5.5405 2022/08/26 00:22:54 - mmengine - INFO - Epoch(train) [96][35/125] lr: 9.4278e-04 eta: 1 day, 3:38:37 time: 0.7240 data_time: 0.0339 memory: 9483 loss_text: 0.6918 loss_center: 2.7459 loss_reg_x: 1.0540 loss_reg_y: 1.1545 loss: 5.6462 2022/08/26 00:22:56 - mmengine - INFO - Epoch(train) [96][40/125] lr: 9.4278e-04 eta: 1 day, 3:38:22 time: 0.5042 data_time: 0.0220 memory: 9483 loss_text: 0.6996 loss_center: 2.8112 loss_reg_x: 1.0683 loss_reg_y: 1.3663 loss: 5.9454 2022/08/26 00:22:59 - mmengine - INFO - Epoch(train) [96][45/125] lr: 9.4278e-04 eta: 1 day, 3:38:22 time: 0.5125 data_time: 0.0148 memory: 9483 loss_text: 0.7188 loss_center: 2.8024 loss_reg_x: 1.0306 loss_reg_y: 1.4289 loss: 5.9807 2022/08/26 00:23:02 - mmengine - INFO - Epoch(train) [96][50/125] lr: 9.4278e-04 eta: 1 day, 3:38:10 time: 0.5290 data_time: 0.0141 memory: 9483 loss_text: 0.7128 loss_center: 2.7775 loss_reg_x: 1.0107 loss_reg_y: 1.1098 loss: 5.6108 2022/08/26 00:23:04 - mmengine - INFO - Epoch(train) [96][55/125] lr: 9.4278e-04 eta: 1 day, 3:38:10 time: 0.5134 data_time: 0.0144 memory: 9483 loss_text: 0.7215 loss_center: 2.7666 loss_reg_x: 1.1860 loss_reg_y: 1.0403 loss: 5.7143 2022/08/26 00:23:06 - mmengine - INFO - Epoch(train) [96][60/125] lr: 9.4278e-04 eta: 1 day, 3:37:53 time: 0.4833 data_time: 0.0164 memory: 9483 loss_text: 0.8036 loss_center: 2.7931 loss_reg_x: 1.2640 loss_reg_y: 1.2036 loss: 6.0643 2022/08/26 00:23:11 - mmengine - INFO - Epoch(train) [96][65/125] lr: 9.4278e-04 eta: 1 day, 3:37:53 time: 0.7548 data_time: 0.0192 memory: 9483 loss_text: 0.8367 loss_center: 2.7969 loss_reg_x: 1.2737 loss_reg_y: 1.1671 loss: 6.0745 2022/08/26 00:23:14 - mmengine - INFO - Epoch(train) [96][70/125] lr: 9.4278e-04 eta: 1 day, 3:38:15 time: 0.7557 data_time: 0.0202 memory: 9483 loss_text: 0.9057 loss_center: 2.8022 loss_reg_x: 1.2334 loss_reg_y: 1.1188 loss: 6.0600 2022/08/26 00:23:16 - mmengine - INFO - Epoch(train) [96][75/125] lr: 9.4278e-04 eta: 1 day, 3:38:15 time: 0.4969 data_time: 0.0184 memory: 9483 loss_text: 0.8654 loss_center: 2.8204 loss_reg_x: 1.1077 loss_reg_y: 1.0799 loss: 5.8734 2022/08/26 00:23:19 - mmengine - INFO - Epoch(train) [96][80/125] lr: 9.4278e-04 eta: 1 day, 3:38:02 time: 0.5224 data_time: 0.0205 memory: 9483 loss_text: 0.8808 loss_center: 2.8107 loss_reg_x: 1.3266 loss_reg_y: 1.0977 loss: 6.1158 2022/08/26 00:23:21 - mmengine - INFO - Epoch(train) [96][85/125] lr: 9.4278e-04 eta: 1 day, 3:38:02 time: 0.5043 data_time: 0.0200 memory: 9483 loss_text: 1.0415 loss_center: 2.8281 loss_reg_x: 1.4322 loss_reg_y: 1.2338 loss: 6.5356 2022/08/26 00:23:24 - mmengine - INFO - Epoch(train) [96][90/125] lr: 9.4278e-04 eta: 1 day, 3:37:45 time: 0.4858 data_time: 0.0154 memory: 9483 loss_text: 1.0762 loss_center: 2.8525 loss_reg_x: 1.4106 loss_reg_y: 1.3014 loss: 6.6407 2022/08/26 00:23:26 - mmengine - INFO - Epoch(train) [96][95/125] lr: 9.4278e-04 eta: 1 day, 3:37:45 time: 0.4928 data_time: 0.0149 memory: 9483 loss_text: 0.8955 loss_center: 2.7696 loss_reg_x: 1.1910 loss_reg_y: 1.1621 loss: 6.0181 2022/08/26 00:23:30 - mmengine - INFO - Epoch(train) [96][100/125] lr: 9.4278e-04 eta: 1 day, 3:37:49 time: 0.6335 data_time: 0.0528 memory: 9483 loss_text: 0.8258 loss_center: 2.6777 loss_reg_x: 1.0499 loss_reg_y: 1.0275 loss: 5.5808 2022/08/26 00:23:33 - mmengine - INFO - Epoch(train) [96][105/125] lr: 9.4278e-04 eta: 1 day, 3:37:49 time: 0.6349 data_time: 0.0556 memory: 9483 loss_text: 0.9325 loss_center: 2.7573 loss_reg_x: 1.2774 loss_reg_y: 1.2450 loss: 6.2123 2022/08/26 00:23:35 - mmengine - INFO - Epoch(train) [96][110/125] lr: 9.4278e-04 eta: 1 day, 3:37:30 time: 0.4779 data_time: 0.0155 memory: 9483 loss_text: 0.9016 loss_center: 2.8233 loss_reg_x: 1.2504 loss_reg_y: 1.2087 loss: 6.1839 2022/08/26 00:23:38 - mmengine - INFO - Epoch(train) [96][115/125] lr: 9.4278e-04 eta: 1 day, 3:37:30 time: 0.5028 data_time: 0.0127 memory: 9483 loss_text: 0.7961 loss_center: 2.8028 loss_reg_x: 1.1097 loss_reg_y: 0.9658 loss: 5.6744 2022/08/26 00:23:41 - mmengine - INFO - Epoch(train) [96][120/125] lr: 9.4278e-04 eta: 1 day, 3:37:29 time: 0.5985 data_time: 0.0177 memory: 9483 loss_text: 0.7343 loss_center: 2.7796 loss_reg_x: 1.0263 loss_reg_y: 1.0089 loss: 5.5490 2022/08/26 00:23:44 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:23:44 - mmengine - INFO - Epoch(train) [96][125/125] lr: 9.4278e-04 eta: 1 day, 3:37:29 time: 0.5875 data_time: 0.0188 memory: 9483 loss_text: 0.7621 loss_center: 2.7918 loss_reg_x: 0.9681 loss_reg_y: 1.1723 loss: 5.6942 2022/08/26 00:23:47 - mmengine - INFO - Epoch(train) [97][5/125] lr: 9.4218e-04 eta: 1 day, 3:37:29 time: 0.5960 data_time: 0.0839 memory: 9483 loss_text: 0.7916 loss_center: 2.8085 loss_reg_x: 1.0929 loss_reg_y: 1.3673 loss: 6.0603 2022/08/26 00:23:50 - mmengine - INFO - Epoch(train) [97][10/125] lr: 9.4218e-04 eta: 1 day, 3:36:56 time: 0.6792 data_time: 0.1037 memory: 9483 loss_text: 0.8193 loss_center: 2.8039 loss_reg_x: 1.1510 loss_reg_y: 1.2411 loss: 6.0153 2022/08/26 00:23:53 - mmengine - INFO - Epoch(train) [97][15/125] lr: 9.4218e-04 eta: 1 day, 3:36:56 time: 0.6057 data_time: 0.0341 memory: 9483 loss_text: 0.8019 loss_center: 2.8034 loss_reg_x: 1.2294 loss_reg_y: 1.0484 loss: 5.8831 2022/08/26 00:23:56 - mmengine - INFO - Epoch(train) [97][20/125] lr: 9.4218e-04 eta: 1 day, 3:36:46 time: 0.5382 data_time: 0.0195 memory: 9483 loss_text: 0.7214 loss_center: 2.7980 loss_reg_x: 1.3096 loss_reg_y: 1.0697 loss: 5.8988 2022/08/26 00:23:58 - mmengine - INFO - Epoch(train) [97][25/125] lr: 9.4218e-04 eta: 1 day, 3:36:46 time: 0.5334 data_time: 0.0214 memory: 9483 loss_text: 0.8202 loss_center: 2.8139 loss_reg_x: 1.4161 loss_reg_y: 1.3137 loss: 6.3639 2022/08/26 00:24:02 - mmengine - INFO - Epoch(train) [97][30/125] lr: 9.4218e-04 eta: 1 day, 3:36:51 time: 0.6384 data_time: 0.0162 memory: 9483 loss_text: 0.9943 loss_center: 2.8251 loss_reg_x: 1.4338 loss_reg_y: 1.3843 loss: 6.6376 2022/08/26 00:24:05 - mmengine - INFO - Epoch(train) [97][35/125] lr: 9.4218e-04 eta: 1 day, 3:36:51 time: 0.6127 data_time: 0.0145 memory: 9483 loss_text: 0.9799 loss_center: 2.8153 loss_reg_x: 1.4468 loss_reg_y: 1.4805 loss: 6.7224 2022/08/26 00:24:07 - mmengine - INFO - Epoch(train) [97][40/125] lr: 9.4218e-04 eta: 1 day, 3:36:32 time: 0.4733 data_time: 0.0147 memory: 9483 loss_text: 0.9649 loss_center: 2.7614 loss_reg_x: 1.4118 loss_reg_y: 1.4636 loss: 6.6018 2022/08/26 00:24:10 - mmengine - INFO - Epoch(train) [97][45/125] lr: 9.4218e-04 eta: 1 day, 3:36:32 time: 0.5518 data_time: 0.0145 memory: 9483 loss_text: 0.9597 loss_center: 2.7728 loss_reg_x: 1.2945 loss_reg_y: 1.2837 loss: 6.3108 2022/08/26 00:24:13 - mmengine - INFO - Epoch(train) [97][50/125] lr: 9.4218e-04 eta: 1 day, 3:36:26 time: 0.5661 data_time: 0.0147 memory: 9483 loss_text: 0.8878 loss_center: 2.7818 loss_reg_x: 1.3371 loss_reg_y: 1.3857 loss: 6.3925 2022/08/26 00:24:15 - mmengine - INFO - Epoch(train) [97][55/125] lr: 9.4218e-04 eta: 1 day, 3:36:26 time: 0.5014 data_time: 0.0148 memory: 9483 loss_text: 0.7874 loss_center: 2.7624 loss_reg_x: 1.1547 loss_reg_y: 1.1507 loss: 5.8552 2022/08/26 00:24:18 - mmengine - INFO - Epoch(train) [97][60/125] lr: 9.4218e-04 eta: 1 day, 3:36:11 time: 0.5032 data_time: 0.0175 memory: 9483 loss_text: 0.7750 loss_center: 2.7732 loss_reg_x: 0.9118 loss_reg_y: 0.8879 loss: 5.3478 2022/08/26 00:24:20 - mmengine - INFO - Epoch(train) [97][65/125] lr: 9.4218e-04 eta: 1 day, 3:36:11 time: 0.5135 data_time: 0.0181 memory: 9483 loss_text: 0.8741 loss_center: 2.7782 loss_reg_x: 1.0394 loss_reg_y: 1.0427 loss: 5.7344 2022/08/26 00:24:23 - mmengine - INFO - Epoch(train) [97][70/125] lr: 9.4218e-04 eta: 1 day, 3:36:00 time: 0.5274 data_time: 0.0163 memory: 9483 loss_text: 0.7997 loss_center: 2.7822 loss_reg_x: 1.2079 loss_reg_y: 1.1428 loss: 5.9326 2022/08/26 00:24:26 - mmengine - INFO - Epoch(train) [97][75/125] lr: 9.4218e-04 eta: 1 day, 3:36:00 time: 0.5414 data_time: 0.0158 memory: 9483 loss_text: 0.7369 loss_center: 2.8089 loss_reg_x: 1.1868 loss_reg_y: 1.1609 loss: 5.8935 2022/08/26 00:24:28 - mmengine - INFO - Epoch(train) [97][80/125] lr: 9.4218e-04 eta: 1 day, 3:35:48 time: 0.5226 data_time: 0.0142 memory: 9483 loss_text: 0.8050 loss_center: 2.8437 loss_reg_x: 1.1974 loss_reg_y: 1.1211 loss: 5.9673 2022/08/26 00:24:34 - mmengine - INFO - Epoch(train) [97][85/125] lr: 9.4218e-04 eta: 1 day, 3:35:48 time: 0.7916 data_time: 0.0714 memory: 9483 loss_text: 0.7736 loss_center: 2.8213 loss_reg_x: 1.1774 loss_reg_y: 1.0828 loss: 5.8551 2022/08/26 00:24:36 - mmengine - INFO - Epoch(train) [97][90/125] lr: 9.4218e-04 eta: 1 day, 3:36:15 time: 0.7925 data_time: 0.0740 memory: 9483 loss_text: 0.7999 loss_center: 2.8114 loss_reg_x: 1.2762 loss_reg_y: 1.1710 loss: 6.0585 2022/08/26 00:24:39 - mmengine - INFO - Epoch(train) [97][95/125] lr: 9.4218e-04 eta: 1 day, 3:36:15 time: 0.5121 data_time: 0.0179 memory: 9483 loss_text: 0.7759 loss_center: 2.8028 loss_reg_x: 1.1351 loss_reg_y: 1.0775 loss: 5.7914 2022/08/26 00:24:41 - mmengine - INFO - Epoch(train) [97][100/125] lr: 9.4218e-04 eta: 1 day, 3:35:59 time: 0.4978 data_time: 0.0147 memory: 9483 loss_text: 0.7728 loss_center: 2.7977 loss_reg_x: 0.9674 loss_reg_y: 1.0062 loss: 5.5441 2022/08/26 00:24:44 - mmengine - INFO - Epoch(train) [97][105/125] lr: 9.4218e-04 eta: 1 day, 3:35:59 time: 0.4850 data_time: 0.0132 memory: 9483 loss_text: 0.8499 loss_center: 2.7987 loss_reg_x: 1.1541 loss_reg_y: 1.0282 loss: 5.8308 2022/08/26 00:24:46 - mmengine - INFO - Epoch(train) [97][110/125] lr: 9.4218e-04 eta: 1 day, 3:35:41 time: 0.4812 data_time: 0.0123 memory: 9483 loss_text: 0.8820 loss_center: 2.8255 loss_reg_x: 1.2888 loss_reg_y: 1.2123 loss: 6.2086 2022/08/26 00:24:49 - mmengine - INFO - Epoch(train) [97][115/125] lr: 9.4218e-04 eta: 1 day, 3:35:41 time: 0.4959 data_time: 0.0129 memory: 9483 loss_text: 0.8990 loss_center: 2.8090 loss_reg_x: 1.1476 loss_reg_y: 1.1177 loss: 5.9732 2022/08/26 00:24:54 - mmengine - INFO - Epoch(train) [97][120/125] lr: 9.4218e-04 eta: 1 day, 3:36:05 time: 0.7662 data_time: 0.0153 memory: 9483 loss_text: 0.8123 loss_center: 2.7622 loss_reg_x: 0.9611 loss_reg_y: 0.7811 loss: 5.3167 2022/08/26 00:24:56 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:24:56 - mmengine - INFO - Epoch(train) [97][125/125] lr: 9.4218e-04 eta: 1 day, 3:36:05 time: 0.7533 data_time: 0.0158 memory: 9483 loss_text: 0.7637 loss_center: 2.7676 loss_reg_x: 0.9972 loss_reg_y: 0.8567 loss: 5.3852 2022/08/26 00:24:59 - mmengine - INFO - Epoch(train) [98][5/125] lr: 9.4157e-04 eta: 1 day, 3:36:05 time: 0.5880 data_time: 0.0929 memory: 9483 loss_text: 0.8903 loss_center: 2.8005 loss_reg_x: 1.0114 loss_reg_y: 0.9284 loss: 5.6307 2022/08/26 00:25:02 - mmengine - INFO - Epoch(train) [98][10/125] lr: 9.4157e-04 eta: 1 day, 3:35:18 time: 0.5833 data_time: 0.0922 memory: 9483 loss_text: 1.0070 loss_center: 2.8273 loss_reg_x: 1.0756 loss_reg_y: 1.0932 loss: 6.0031 2022/08/26 00:25:04 - mmengine - INFO - Epoch(train) [98][15/125] lr: 9.4157e-04 eta: 1 day, 3:35:18 time: 0.4971 data_time: 0.0157 memory: 9483 loss_text: 0.8920 loss_center: 2.8154 loss_reg_x: 1.1064 loss_reg_y: 1.0507 loss: 5.8645 2022/08/26 00:25:07 - mmengine - INFO - Epoch(train) [98][20/125] lr: 9.4157e-04 eta: 1 day, 3:35:03 time: 0.5024 data_time: 0.0187 memory: 9483 loss_text: 0.8272 loss_center: 2.8147 loss_reg_x: 1.0494 loss_reg_y: 1.0544 loss: 5.7458 2022/08/26 00:25:11 - mmengine - INFO - Epoch(train) [98][25/125] lr: 9.4157e-04 eta: 1 day, 3:35:03 time: 0.6752 data_time: 0.0397 memory: 9483 loss_text: 0.8419 loss_center: 2.8085 loss_reg_x: 1.0472 loss_reg_y: 1.1112 loss: 5.8088 2022/08/26 00:25:14 - mmengine - INFO - Epoch(train) [98][30/125] lr: 9.4157e-04 eta: 1 day, 3:35:13 time: 0.6741 data_time: 0.0390 memory: 9483 loss_text: 0.9249 loss_center: 2.8059 loss_reg_x: 1.2806 loss_reg_y: 1.1642 loss: 6.1756 2022/08/26 00:25:16 - mmengine - INFO - Epoch(train) [98][35/125] lr: 9.4157e-04 eta: 1 day, 3:35:13 time: 0.5136 data_time: 0.0152 memory: 9483 loss_text: 0.9694 loss_center: 2.8130 loss_reg_x: 1.4667 loss_reg_y: 1.3284 loss: 6.5775 2022/08/26 00:25:20 - mmengine - INFO - Epoch(train) [98][40/125] lr: 9.4157e-04 eta: 1 day, 3:35:16 time: 0.6288 data_time: 0.0130 memory: 9483 loss_text: 0.8606 loss_center: 2.8035 loss_reg_x: 1.1826 loss_reg_y: 1.1234 loss: 5.9701 2022/08/26 00:25:22 - mmengine - INFO - Epoch(train) [98][45/125] lr: 9.4157e-04 eta: 1 day, 3:35:16 time: 0.6021 data_time: 0.0137 memory: 9483 loss_text: 0.8676 loss_center: 2.7980 loss_reg_x: 1.2872 loss_reg_y: 1.1272 loss: 6.0801 2022/08/26 00:25:25 - mmengine - INFO - Epoch(train) [98][50/125] lr: 9.4157e-04 eta: 1 day, 3:35:01 time: 0.4995 data_time: 0.0159 memory: 9483 loss_text: 0.8431 loss_center: 2.8024 loss_reg_x: 1.4965 loss_reg_y: 1.2729 loss: 6.4149 2022/08/26 00:25:28 - mmengine - INFO - Epoch(train) [98][55/125] lr: 9.4157e-04 eta: 1 day, 3:35:01 time: 0.5227 data_time: 0.0185 memory: 9483 loss_text: 0.8048 loss_center: 2.8244 loss_reg_x: 1.1955 loss_reg_y: 1.2138 loss: 6.0384 2022/08/26 00:25:32 - mmengine - INFO - Epoch(train) [98][60/125] lr: 9.4157e-04 eta: 1 day, 3:35:18 time: 0.7298 data_time: 0.0165 memory: 9483 loss_text: 0.8540 loss_center: 2.8292 loss_reg_x: 1.0449 loss_reg_y: 1.0777 loss: 5.8057 2022/08/26 00:25:35 - mmengine - INFO - Epoch(train) [98][65/125] lr: 9.4157e-04 eta: 1 day, 3:35:18 time: 0.7266 data_time: 0.0194 memory: 9483 loss_text: 0.7631 loss_center: 2.8214 loss_reg_x: 0.9984 loss_reg_y: 0.8911 loss: 5.4739 2022/08/26 00:25:38 - mmengine - INFO - Epoch(train) [98][70/125] lr: 9.4157e-04 eta: 1 day, 3:35:07 time: 0.5260 data_time: 0.0209 memory: 9483 loss_text: 0.7376 loss_center: 2.8172 loss_reg_x: 1.2339 loss_reg_y: 0.9244 loss: 5.7131 2022/08/26 00:25:40 - mmengine - INFO - Epoch(train) [98][75/125] lr: 9.4157e-04 eta: 1 day, 3:35:07 time: 0.5318 data_time: 0.0143 memory: 9483 loss_text: 0.7631 loss_center: 2.7943 loss_reg_x: 1.4025 loss_reg_y: 1.1443 loss: 6.1042 2022/08/26 00:25:43 - mmengine - INFO - Epoch(train) [98][80/125] lr: 9.4157e-04 eta: 1 day, 3:34:52 time: 0.5042 data_time: 0.0128 memory: 9483 loss_text: 0.7722 loss_center: 2.7985 loss_reg_x: 1.1872 loss_reg_y: 1.1762 loss: 5.9341 2022/08/26 00:25:45 - mmengine - INFO - Epoch(train) [98][85/125] lr: 9.4157e-04 eta: 1 day, 3:34:52 time: 0.4989 data_time: 0.0133 memory: 9483 loss_text: 0.7977 loss_center: 2.8057 loss_reg_x: 1.0500 loss_reg_y: 1.0474 loss: 5.7008 2022/08/26 00:25:48 - mmengine - INFO - Epoch(train) [98][90/125] lr: 9.4157e-04 eta: 1 day, 3:34:43 time: 0.5436 data_time: 0.0148 memory: 9483 loss_text: 0.7723 loss_center: 2.8058 loss_reg_x: 1.1781 loss_reg_y: 0.9818 loss: 5.7380 2022/08/26 00:25:53 - mmengine - INFO - Epoch(train) [98][95/125] lr: 9.4157e-04 eta: 1 day, 3:34:43 time: 0.8196 data_time: 0.0516 memory: 9483 loss_text: 0.7837 loss_center: 2.8128 loss_reg_x: 1.0909 loss_reg_y: 0.8894 loss: 5.5767 2022/08/26 00:25:56 - mmengine - INFO - Epoch(train) [98][100/125] lr: 9.4157e-04 eta: 1 day, 3:35:14 time: 0.8187 data_time: 0.0517 memory: 9483 loss_text: 0.7993 loss_center: 2.8077 loss_reg_x: 1.0008 loss_reg_y: 0.9876 loss: 5.5954 2022/08/26 00:25:59 - mmengine - INFO - Epoch(train) [98][105/125] lr: 9.4157e-04 eta: 1 day, 3:35:14 time: 0.5158 data_time: 0.0210 memory: 9483 loss_text: 0.9402 loss_center: 2.8312 loss_reg_x: 1.3768 loss_reg_y: 1.3611 loss: 6.5092 2022/08/26 00:26:01 - mmengine - INFO - Epoch(train) [98][110/125] lr: 9.4157e-04 eta: 1 day, 3:34:58 time: 0.4960 data_time: 0.0190 memory: 9483 loss_text: 0.9720 loss_center: 2.7829 loss_reg_x: 1.3439 loss_reg_y: 1.2995 loss: 6.3983 2022/08/26 00:26:04 - mmengine - INFO - Epoch(train) [98][115/125] lr: 9.4157e-04 eta: 1 day, 3:34:58 time: 0.5441 data_time: 0.0131 memory: 9483 loss_text: 0.7952 loss_center: 2.7353 loss_reg_x: 1.1137 loss_reg_y: 1.1471 loss: 5.7914 2022/08/26 00:26:06 - mmengine - INFO - Epoch(train) [98][120/125] lr: 9.4157e-04 eta: 1 day, 3:34:48 time: 0.5347 data_time: 0.0136 memory: 9483 loss_text: 0.7208 loss_center: 2.7555 loss_reg_x: 1.0230 loss_reg_y: 1.0291 loss: 5.5285 2022/08/26 00:26:09 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:26:09 - mmengine - INFO - Epoch(train) [98][125/125] lr: 9.4157e-04 eta: 1 day, 3:34:48 time: 0.4857 data_time: 0.0184 memory: 9483 loss_text: 0.8505 loss_center: 2.7858 loss_reg_x: 0.8158 loss_reg_y: 0.8008 loss: 5.2528 2022/08/26 00:26:16 - mmengine - INFO - Epoch(train) [99][5/125] lr: 9.4097e-04 eta: 1 day, 3:34:48 time: 0.9749 data_time: 0.2469 memory: 9483 loss_text: 0.8778 loss_center: 2.7985 loss_reg_x: 0.8025 loss_reg_y: 0.9058 loss: 5.3846 2022/08/26 00:26:19 - mmengine - INFO - Epoch(train) [99][10/125] lr: 9.4097e-04 eta: 1 day, 3:35:00 time: 0.9923 data_time: 0.2405 memory: 9483 loss_text: 0.8178 loss_center: 2.7883 loss_reg_x: 0.9871 loss_reg_y: 1.0370 loss: 5.6302 2022/08/26 00:26:22 - mmengine - INFO - Epoch(train) [99][15/125] lr: 9.4097e-04 eta: 1 day, 3:35:00 time: 0.5312 data_time: 0.0147 memory: 9483 loss_text: 0.7777 loss_center: 2.7869 loss_reg_x: 0.8906 loss_reg_y: 0.9036 loss: 5.3588 2022/08/26 00:26:24 - mmengine - INFO - Epoch(train) [99][20/125] lr: 9.4097e-04 eta: 1 day, 3:34:47 time: 0.5178 data_time: 0.0163 memory: 9483 loss_text: 0.7501 loss_center: 2.7909 loss_reg_x: 0.8019 loss_reg_y: 0.8340 loss: 5.1770 2022/08/26 00:26:27 - mmengine - INFO - Epoch(train) [99][25/125] lr: 9.4097e-04 eta: 1 day, 3:34:47 time: 0.4910 data_time: 0.0130 memory: 9483 loss_text: 0.7967 loss_center: 2.8005 loss_reg_x: 0.9197 loss_reg_y: 0.9484 loss: 5.4653 2022/08/26 00:26:33 - mmengine - INFO - Epoch(train) [99][30/125] lr: 9.4097e-04 eta: 1 day, 3:35:32 time: 0.9199 data_time: 0.0133 memory: 9483 loss_text: 0.8006 loss_center: 2.7843 loss_reg_x: 1.0338 loss_reg_y: 1.0769 loss: 5.6955 2022/08/26 00:26:36 - mmengine - INFO - Epoch(train) [99][35/125] lr: 9.4097e-04 eta: 1 day, 3:35:32 time: 0.9160 data_time: 0.0174 memory: 9483 loss_text: 0.7602 loss_center: 2.7844 loss_reg_x: 1.0238 loss_reg_y: 1.0638 loss: 5.6322 2022/08/26 00:26:38 - mmengine - INFO - Epoch(train) [99][40/125] lr: 9.4097e-04 eta: 1 day, 3:35:18 time: 0.5109 data_time: 0.0165 memory: 9483 loss_text: 0.7799 loss_center: 2.8075 loss_reg_x: 1.1131 loss_reg_y: 1.0612 loss: 5.7617 2022/08/26 00:26:41 - mmengine - INFO - Epoch(train) [99][45/125] lr: 9.4097e-04 eta: 1 day, 3:35:18 time: 0.5255 data_time: 0.0130 memory: 9483 loss_text: 0.8315 loss_center: 2.8327 loss_reg_x: 1.1212 loss_reg_y: 1.1029 loss: 5.8883 2022/08/26 00:26:43 - mmengine - INFO - Epoch(train) [99][50/125] lr: 9.4097e-04 eta: 1 day, 3:35:04 time: 0.5089 data_time: 0.0126 memory: 9483 loss_text: 0.7659 loss_center: 2.8384 loss_reg_x: 1.0592 loss_reg_y: 1.0450 loss: 5.7085 2022/08/26 00:26:46 - mmengine - INFO - Epoch(train) [99][55/125] lr: 9.4097e-04 eta: 1 day, 3:35:04 time: 0.4961 data_time: 0.0141 memory: 9483 loss_text: 0.7870 loss_center: 2.8160 loss_reg_x: 1.2605 loss_reg_y: 1.1009 loss: 5.9644 2022/08/26 00:26:48 - mmengine - INFO - Epoch(train) [99][60/125] lr: 9.4097e-04 eta: 1 day, 3:34:51 time: 0.5128 data_time: 0.0153 memory: 9483 loss_text: 0.7906 loss_center: 2.7815 loss_reg_x: 1.3536 loss_reg_y: 1.0770 loss: 6.0027 2022/08/26 00:26:54 - mmengine - INFO - Epoch(train) [99][65/125] lr: 9.4097e-04 eta: 1 day, 3:34:51 time: 0.7915 data_time: 0.0625 memory: 9483 loss_text: 0.7672 loss_center: 2.7689 loss_reg_x: 1.3208 loss_reg_y: 0.9932 loss: 5.8500 2022/08/26 00:26:56 - mmengine - INFO - Epoch(train) [99][70/125] lr: 9.4097e-04 eta: 1 day, 3:35:15 time: 0.7755 data_time: 0.0630 memory: 9483 loss_text: 0.8767 loss_center: 2.8055 loss_reg_x: 1.3204 loss_reg_y: 1.0292 loss: 6.0317 2022/08/26 00:26:59 - mmengine - INFO - Epoch(train) [99][75/125] lr: 9.4097e-04 eta: 1 day, 3:35:15 time: 0.4747 data_time: 0.0138 memory: 9483 loss_text: 0.9747 loss_center: 2.8349 loss_reg_x: 1.4526 loss_reg_y: 1.2210 loss: 6.4831 2022/08/26 00:27:01 - mmengine - INFO - Epoch(train) [99][80/125] lr: 9.4097e-04 eta: 1 day, 3:34:58 time: 0.4874 data_time: 0.0173 memory: 9483 loss_text: 0.8454 loss_center: 2.8111 loss_reg_x: 1.2363 loss_reg_y: 1.1535 loss: 6.0462 2022/08/26 00:27:04 - mmengine - INFO - Epoch(train) [99][85/125] lr: 9.4097e-04 eta: 1 day, 3:34:58 time: 0.4990 data_time: 0.0179 memory: 9483 loss_text: 0.7855 loss_center: 2.8186 loss_reg_x: 1.1293 loss_reg_y: 1.2949 loss: 6.0283 2022/08/26 00:27:06 - mmengine - INFO - Epoch(train) [99][90/125] lr: 9.4097e-04 eta: 1 day, 3:34:42 time: 0.4920 data_time: 0.0129 memory: 9483 loss_text: 0.8988 loss_center: 2.8388 loss_reg_x: 1.3353 loss_reg_y: 1.6033 loss: 6.6762 2022/08/26 00:27:09 - mmengine - INFO - Epoch(train) [99][95/125] lr: 9.4097e-04 eta: 1 day, 3:34:42 time: 0.5076 data_time: 0.0141 memory: 9483 loss_text: 0.9851 loss_center: 2.8411 loss_reg_x: 1.4926 loss_reg_y: 1.5143 loss: 6.8330 2022/08/26 00:27:14 - mmengine - INFO - Epoch(train) [99][100/125] lr: 9.4097e-04 eta: 1 day, 3:35:08 time: 0.7923 data_time: 0.0189 memory: 9483 loss_text: 0.9668 loss_center: 2.8267 loss_reg_x: 1.4101 loss_reg_y: 1.4347 loss: 6.6383 2022/08/26 00:27:17 - mmengine - INFO - Epoch(train) [99][105/125] lr: 9.4097e-04 eta: 1 day, 3:35:08 time: 0.7930 data_time: 0.0179 memory: 9483 loss_text: 0.9277 loss_center: 2.8177 loss_reg_x: 1.4071 loss_reg_y: 1.5741 loss: 6.7266 2022/08/26 00:27:19 - mmengine - INFO - Epoch(train) [99][110/125] lr: 9.4097e-04 eta: 1 day, 3:34:55 time: 0.5129 data_time: 0.0149 memory: 9483 loss_text: 0.8729 loss_center: 2.8204 loss_reg_x: 1.4462 loss_reg_y: 1.3929 loss: 6.5323 2022/08/26 00:27:23 - mmengine - INFO - Epoch(train) [99][115/125] lr: 9.4097e-04 eta: 1 day, 3:34:55 time: 0.6026 data_time: 0.0190 memory: 9483 loss_text: 0.8193 loss_center: 2.8116 loss_reg_x: 1.3805 loss_reg_y: 1.2794 loss: 6.2908 2022/08/26 00:27:25 - mmengine - INFO - Epoch(train) [99][120/125] lr: 9.4097e-04 eta: 1 day, 3:34:52 time: 0.5898 data_time: 0.0175 memory: 9483 loss_text: 0.9654 loss_center: 2.8229 loss_reg_x: 1.4336 loss_reg_y: 1.4916 loss: 6.7135 2022/08/26 00:27:27 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:27:27 - mmengine - INFO - Epoch(train) [99][125/125] lr: 9.4097e-04 eta: 1 day, 3:34:52 time: 0.4795 data_time: 0.0129 memory: 9483 loss_text: 0.9544 loss_center: 2.8219 loss_reg_x: 1.2994 loss_reg_y: 1.3081 loss: 6.3839 2022/08/26 00:27:32 - mmengine - INFO - Epoch(train) [100][5/125] lr: 9.4037e-04 eta: 1 day, 3:34:52 time: 0.6797 data_time: 0.0890 memory: 9483 loss_text: 0.8228 loss_center: 2.8068 loss_reg_x: 1.1024 loss_reg_y: 1.0546 loss: 5.7866 2022/08/26 00:27:34 - mmengine - INFO - Epoch(train) [100][10/125] lr: 9.4037e-04 eta: 1 day, 3:34:22 time: 0.6981 data_time: 0.0891 memory: 9483 loss_text: 0.8671 loss_center: 2.8014 loss_reg_x: 1.0404 loss_reg_y: 1.1270 loss: 5.8359 2022/08/26 00:27:37 - mmengine - INFO - Epoch(train) [100][15/125] lr: 9.4037e-04 eta: 1 day, 3:34:22 time: 0.5247 data_time: 0.0127 memory: 9483 loss_text: 0.8129 loss_center: 2.7927 loss_reg_x: 1.0020 loss_reg_y: 1.1252 loss: 5.7329 2022/08/26 00:27:41 - mmengine - INFO - Epoch(train) [100][20/125] lr: 9.4037e-04 eta: 1 day, 3:34:31 time: 0.6723 data_time: 0.0260 memory: 9483 loss_text: 0.7993 loss_center: 2.7921 loss_reg_x: 0.9671 loss_reg_y: 0.9225 loss: 5.4811 2022/08/26 00:27:44 - mmengine - INFO - Epoch(train) [100][25/125] lr: 9.4037e-04 eta: 1 day, 3:34:31 time: 0.6418 data_time: 0.0328 memory: 9483 loss_text: 0.8425 loss_center: 2.8015 loss_reg_x: 1.0190 loss_reg_y: 1.0884 loss: 5.7514 2022/08/26 00:27:46 - mmengine - INFO - Epoch(train) [100][30/125] lr: 9.4037e-04 eta: 1 day, 3:34:14 time: 0.4866 data_time: 0.0198 memory: 9483 loss_text: 0.7986 loss_center: 2.7583 loss_reg_x: 1.0221 loss_reg_y: 1.1818 loss: 5.7607 2022/08/26 00:27:49 - mmengine - INFO - Epoch(train) [100][35/125] lr: 9.4037e-04 eta: 1 day, 3:34:14 time: 0.5055 data_time: 0.0128 memory: 9483 loss_text: 0.7420 loss_center: 2.7508 loss_reg_x: 0.9665 loss_reg_y: 0.9354 loss: 5.3946 2022/08/26 00:27:53 - mmengine - INFO - Epoch(train) [100][40/125] lr: 9.4037e-04 eta: 1 day, 3:34:26 time: 0.6886 data_time: 0.0293 memory: 9483 loss_text: 0.7291 loss_center: 2.8096 loss_reg_x: 1.0334 loss_reg_y: 0.8594 loss: 5.4315 2022/08/26 00:27:55 - mmengine - INFO - Epoch(train) [100][45/125] lr: 9.4037e-04 eta: 1 day, 3:34:26 time: 0.6823 data_time: 0.0360 memory: 9483 loss_text: 0.7959 loss_center: 2.8171 loss_reg_x: 1.1062 loss_reg_y: 0.9237 loss: 5.6429 2022/08/26 00:27:58 - mmengine - INFO - Epoch(train) [100][50/125] lr: 9.4037e-04 eta: 1 day, 3:34:12 time: 0.5069 data_time: 0.0195 memory: 9483 loss_text: 0.8180 loss_center: 2.7915 loss_reg_x: 1.1714 loss_reg_y: 1.0801 loss: 5.8610 2022/08/26 00:28:01 - mmengine - INFO - Epoch(train) [100][55/125] lr: 9.4037e-04 eta: 1 day, 3:34:12 time: 0.5791 data_time: 0.0267 memory: 9483 loss_text: 0.7400 loss_center: 2.7836 loss_reg_x: 1.0135 loss_reg_y: 1.0666 loss: 5.6038 2022/08/26 00:28:04 - mmengine - INFO - Epoch(train) [100][60/125] lr: 9.4037e-04 eta: 1 day, 3:34:10 time: 0.5970 data_time: 0.0268 memory: 9483 loss_text: 0.6987 loss_center: 2.7837 loss_reg_x: 0.8642 loss_reg_y: 0.9347 loss: 5.2813 2022/08/26 00:28:07 - mmengine - INFO - Epoch(train) [100][65/125] lr: 9.4037e-04 eta: 1 day, 3:34:10 time: 0.5353 data_time: 0.0149 memory: 9483 loss_text: 0.8103 loss_center: 2.8045 loss_reg_x: 0.9450 loss_reg_y: 0.9786 loss: 5.5384 2022/08/26 00:28:09 - mmengine - INFO - Epoch(train) [100][70/125] lr: 9.4037e-04 eta: 1 day, 3:33:55 time: 0.4991 data_time: 0.0152 memory: 9483 loss_text: 0.8542 loss_center: 2.8138 loss_reg_x: 1.0057 loss_reg_y: 1.1560 loss: 5.8297 2022/08/26 00:28:13 - mmengine - INFO - Epoch(train) [100][75/125] lr: 9.4037e-04 eta: 1 day, 3:33:55 time: 0.6486 data_time: 0.0138 memory: 9483 loss_text: 0.8076 loss_center: 2.8033 loss_reg_x: 1.1709 loss_reg_y: 1.2967 loss: 6.0786 2022/08/26 00:28:16 - mmengine - INFO - Epoch(train) [100][80/125] lr: 9.4037e-04 eta: 1 day, 3:34:04 time: 0.6707 data_time: 0.0136 memory: 9483 loss_text: 0.7470 loss_center: 2.7970 loss_reg_x: 1.1912 loss_reg_y: 1.1590 loss: 5.8942 2022/08/26 00:28:18 - mmengine - INFO - Epoch(train) [100][85/125] lr: 9.4037e-04 eta: 1 day, 3:34:04 time: 0.5105 data_time: 0.0146 memory: 9483 loss_text: 0.6967 loss_center: 2.7894 loss_reg_x: 1.0003 loss_reg_y: 0.9641 loss: 5.4504 2022/08/26 00:28:21 - mmengine - INFO - Epoch(train) [100][90/125] lr: 9.4037e-04 eta: 1 day, 3:33:57 time: 0.5601 data_time: 0.0280 memory: 9483 loss_text: 0.8551 loss_center: 2.7894 loss_reg_x: 1.1299 loss_reg_y: 0.8659 loss: 5.6404 2022/08/26 00:28:24 - mmengine - INFO - Epoch(train) [100][95/125] lr: 9.4037e-04 eta: 1 day, 3:33:57 time: 0.5589 data_time: 0.0269 memory: 9483 loss_text: 0.9222 loss_center: 2.8032 loss_reg_x: 1.2356 loss_reg_y: 0.9641 loss: 5.9250 2022/08/26 00:28:26 - mmengine - INFO - Epoch(train) [100][100/125] lr: 9.4037e-04 eta: 1 day, 3:33:40 time: 0.4836 data_time: 0.0139 memory: 9483 loss_text: 0.8191 loss_center: 2.7949 loss_reg_x: 0.9871 loss_reg_y: 1.2128 loss: 5.8138 2022/08/26 00:28:29 - mmengine - INFO - Epoch(train) [100][105/125] lr: 9.4037e-04 eta: 1 day, 3:33:40 time: 0.4960 data_time: 0.0189 memory: 9483 loss_text: 0.7714 loss_center: 2.7814 loss_reg_x: 0.9505 loss_reg_y: 1.2077 loss: 5.7108 2022/08/26 00:28:31 - mmengine - INFO - Epoch(train) [100][110/125] lr: 9.4037e-04 eta: 1 day, 3:33:30 time: 0.5341 data_time: 0.0361 memory: 9483 loss_text: 0.7391 loss_center: 2.8176 loss_reg_x: 1.0194 loss_reg_y: 0.9789 loss: 5.5550 2022/08/26 00:28:34 - mmengine - INFO - Epoch(train) [100][115/125] lr: 9.4037e-04 eta: 1 day, 3:33:30 time: 0.5540 data_time: 0.0306 memory: 9483 loss_text: 0.8119 loss_center: 2.8196 loss_reg_x: 1.2636 loss_reg_y: 1.1479 loss: 6.0431 2022/08/26 00:28:37 - mmengine - INFO - Epoch(train) [100][120/125] lr: 9.4037e-04 eta: 1 day, 3:33:21 time: 0.5448 data_time: 0.0139 memory: 9483 loss_text: 0.8390 loss_center: 2.8024 loss_reg_x: 1.3972 loss_reg_y: 1.3730 loss: 6.4116 2022/08/26 00:28:40 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:28:40 - mmengine - INFO - Epoch(train) [100][125/125] lr: 9.4037e-04 eta: 1 day, 3:33:21 time: 0.5671 data_time: 0.0164 memory: 9483 loss_text: 0.7623 loss_center: 2.8019 loss_reg_x: 1.1655 loss_reg_y: 1.1827 loss: 5.9124 2022/08/26 00:28:40 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/26 00:28:46 - mmengine - INFO - Epoch(val) [100][5/500] eta: 1 day, 3:33:21 time: 0.1526 data_time: 0.0036 memory: 602 2022/08/26 00:28:46 - mmengine - INFO - Epoch(val) [100][10/500] eta: 0:01:34 time: 0.1919 data_time: 0.0037 memory: 602 2022/08/26 00:28:47 - mmengine - INFO - Epoch(val) [100][15/500] eta: 0:01:34 time: 0.1735 data_time: 0.0019 memory: 587 2022/08/26 00:28:48 - mmengine - INFO - Epoch(val) [100][20/500] eta: 0:01:12 time: 0.1517 data_time: 0.0019 memory: 602 2022/08/26 00:28:49 - mmengine - INFO - Epoch(val) [100][25/500] eta: 0:01:12 time: 0.1370 data_time: 0.0017 memory: 602 2022/08/26 00:28:49 - mmengine - INFO - Epoch(val) [100][30/500] eta: 0:00:58 time: 0.1248 data_time: 0.0017 memory: 602 2022/08/26 00:28:50 - mmengine - INFO - Epoch(val) [100][35/500] eta: 0:00:58 time: 0.1267 data_time: 0.0017 memory: 602 2022/08/26 00:28:50 - mmengine - INFO - Epoch(val) [100][40/500] eta: 0:00:57 time: 0.1254 data_time: 0.0016 memory: 602 2022/08/26 00:28:51 - mmengine - INFO - Epoch(val) [100][45/500] eta: 0:00:57 time: 0.1100 data_time: 0.0016 memory: 587 2022/08/26 00:28:52 - mmengine - INFO - Epoch(val) [100][50/500] eta: 0:00:58 time: 0.1307 data_time: 0.0017 memory: 587 2022/08/26 00:28:52 - mmengine - INFO - Epoch(val) [100][55/500] eta: 0:00:58 time: 0.1406 data_time: 0.0018 memory: 602 2022/08/26 00:28:53 - mmengine - INFO - Epoch(val) [100][60/500] eta: 0:01:01 time: 0.1397 data_time: 0.0019 memory: 602 2022/08/26 00:28:54 - mmengine - INFO - Epoch(val) [100][65/500] eta: 0:01:01 time: 0.1605 data_time: 0.0347 memory: 602 2022/08/26 00:28:55 - mmengine - INFO - Epoch(val) [100][70/500] eta: 0:01:02 time: 0.1448 data_time: 0.0346 memory: 602 2022/08/26 00:28:55 - mmengine - INFO - Epoch(val) [100][75/500] eta: 0:01:02 time: 0.1475 data_time: 0.0018 memory: 602 2022/08/26 00:28:56 - mmengine - INFO - Epoch(val) [100][80/500] eta: 0:00:54 time: 0.1301 data_time: 0.0018 memory: 602 2022/08/26 00:28:57 - mmengine - INFO - Epoch(val) [100][85/500] eta: 0:00:54 time: 0.1012 data_time: 0.0017 memory: 602 2022/08/26 00:28:57 - mmengine - INFO - Epoch(val) [100][90/500] eta: 0:00:51 time: 0.1253 data_time: 0.0016 memory: 587 2022/08/26 00:28:58 - mmengine - INFO - Epoch(val) [100][95/500] eta: 0:00:51 time: 0.1412 data_time: 0.0016 memory: 602 2022/08/26 00:28:58 - mmengine - INFO - Epoch(val) [100][100/500] eta: 0:00:50 time: 0.1260 data_time: 0.0016 memory: 602 2022/08/26 00:29:00 - mmengine - INFO - Epoch(val) [100][105/500] eta: 0:00:50 time: 0.2189 data_time: 0.0017 memory: 602 2022/08/26 00:29:02 - mmengine - INFO - Epoch(val) [100][110/500] eta: 0:02:08 time: 0.3307 data_time: 0.0407 memory: 602 2022/08/26 00:29:02 - mmengine - INFO - Epoch(val) [100][115/500] eta: 0:02:08 time: 0.2269 data_time: 0.0407 memory: 602 2022/08/26 00:29:03 - mmengine - INFO - Epoch(val) [100][120/500] eta: 0:00:52 time: 0.1383 data_time: 0.0017 memory: 602 2022/08/26 00:29:04 - mmengine - INFO - Epoch(val) [100][125/500] eta: 0:00:52 time: 0.1760 data_time: 0.0017 memory: 602 2022/08/26 00:29:05 - mmengine - INFO - Epoch(val) [100][130/500] eta: 0:00:59 time: 0.1597 data_time: 0.0019 memory: 602 2022/08/26 00:29:05 - mmengine - INFO - Epoch(val) [100][135/500] eta: 0:00:59 time: 0.1227 data_time: 0.0019 memory: 602 2022/08/26 00:29:06 - mmengine - INFO - Epoch(val) [100][140/500] eta: 0:00:48 time: 0.1339 data_time: 0.0017 memory: 587 2022/08/26 00:29:07 - mmengine - INFO - Epoch(val) [100][145/500] eta: 0:00:48 time: 0.1152 data_time: 0.0017 memory: 602 2022/08/26 00:29:07 - mmengine - INFO - Epoch(val) [100][150/500] eta: 0:00:38 time: 0.1103 data_time: 0.0018 memory: 587 2022/08/26 00:29:08 - mmengine - INFO - Epoch(val) [100][155/500] eta: 0:00:38 time: 0.1263 data_time: 0.0019 memory: 602 2022/08/26 00:29:08 - mmengine - INFO - Epoch(val) [100][160/500] eta: 0:00:35 time: 0.1058 data_time: 0.0018 memory: 602 2022/08/26 00:29:09 - mmengine - INFO - Epoch(val) [100][165/500] eta: 0:00:35 time: 0.1171 data_time: 0.0018 memory: 602 2022/08/26 00:29:10 - mmengine - INFO - Epoch(val) [100][170/500] eta: 0:00:48 time: 0.1480 data_time: 0.0040 memory: 587 2022/08/26 00:29:10 - mmengine - INFO - Epoch(val) [100][175/500] eta: 0:00:48 time: 0.1127 data_time: 0.0043 memory: 602 2022/08/26 00:29:11 - mmengine - INFO - Epoch(val) [100][180/500] eta: 0:00:34 time: 0.1090 data_time: 0.0021 memory: 602 2022/08/26 00:29:11 - mmengine - INFO - Epoch(val) [100][185/500] eta: 0:00:34 time: 0.1334 data_time: 0.0018 memory: 602 2022/08/26 00:29:12 - mmengine - INFO - Epoch(val) [100][190/500] eta: 0:00:38 time: 0.1249 data_time: 0.0019 memory: 602 2022/08/26 00:29:13 - mmengine - INFO - Epoch(val) [100][195/500] eta: 0:00:38 time: 0.1177 data_time: 0.0019 memory: 602 2022/08/26 00:29:13 - mmengine - INFO - Epoch(val) [100][200/500] eta: 0:00:35 time: 0.1185 data_time: 0.0018 memory: 602 2022/08/26 00:29:14 - mmengine - INFO - Epoch(val) [100][205/500] eta: 0:00:35 time: 0.1288 data_time: 0.0017 memory: 602 2022/08/26 00:29:14 - mmengine - INFO - Epoch(val) [100][210/500] eta: 0:00:35 time: 0.1240 data_time: 0.0016 memory: 602 2022/08/26 00:29:15 - mmengine - INFO - Epoch(val) [100][215/500] eta: 0:00:35 time: 0.1092 data_time: 0.0016 memory: 602 2022/08/26 00:29:16 - mmengine - INFO - Epoch(val) [100][220/500] eta: 0:00:30 time: 0.1089 data_time: 0.0016 memory: 587 2022/08/26 00:29:16 - mmengine - INFO - Epoch(val) [100][225/500] eta: 0:00:30 time: 0.1056 data_time: 0.0016 memory: 602 2022/08/26 00:29:17 - mmengine - INFO - Epoch(val) [100][230/500] eta: 0:00:44 time: 0.1632 data_time: 0.0017 memory: 602 2022/08/26 00:29:18 - mmengine - INFO - Epoch(val) [100][235/500] eta: 0:00:44 time: 0.2019 data_time: 0.0019 memory: 602 2022/08/26 00:29:19 - mmengine - INFO - Epoch(val) [100][240/500] eta: 0:00:36 time: 0.1397 data_time: 0.0029 memory: 602 2022/08/26 00:29:20 - mmengine - INFO - Epoch(val) [100][245/500] eta: 0:00:36 time: 0.1784 data_time: 0.0028 memory: 597 2022/08/26 00:29:20 - mmengine - INFO - Epoch(val) [100][250/500] eta: 0:00:46 time: 0.1858 data_time: 0.0107 memory: 602 2022/08/26 00:29:22 - mmengine - INFO - Epoch(val) [100][255/500] eta: 0:00:46 time: 0.2396 data_time: 0.0107 memory: 602 2022/08/26 00:29:23 - mmengine - INFO - Epoch(val) [100][260/500] eta: 0:00:54 time: 0.2272 data_time: 0.0016 memory: 602 2022/08/26 00:29:23 - mmengine - INFO - Epoch(val) [100][265/500] eta: 0:00:54 time: 0.1057 data_time: 0.0016 memory: 587 2022/08/26 00:29:24 - mmengine - INFO - Epoch(val) [100][270/500] eta: 0:00:26 time: 0.1138 data_time: 0.0016 memory: 602 2022/08/26 00:29:25 - mmengine - INFO - Epoch(val) [100][275/500] eta: 0:00:26 time: 0.1354 data_time: 0.0016 memory: 602 2022/08/26 00:29:25 - mmengine - INFO - Epoch(val) [100][280/500] eta: 0:00:23 time: 0.1079 data_time: 0.0015 memory: 592 2022/08/26 00:29:25 - mmengine - INFO - Epoch(val) [100][285/500] eta: 0:00:23 time: 0.0826 data_time: 0.0014 memory: 597 2022/08/26 00:29:26 - mmengine - INFO - Epoch(val) [100][290/500] eta: 0:00:24 time: 0.1175 data_time: 0.0016 memory: 587 2022/08/26 00:29:27 - mmengine - INFO - Epoch(val) [100][295/500] eta: 0:00:24 time: 0.1325 data_time: 0.0016 memory: 602 2022/08/26 00:29:27 - mmengine - INFO - Epoch(val) [100][300/500] eta: 0:00:24 time: 0.1220 data_time: 0.0017 memory: 602 2022/08/26 00:29:28 - mmengine - INFO - Epoch(val) [100][305/500] eta: 0:00:24 time: 0.0915 data_time: 0.0015 memory: 602 2022/08/26 00:29:28 - mmengine - INFO - Epoch(val) [100][310/500] eta: 0:00:15 time: 0.0837 data_time: 0.0015 memory: 602 2022/08/26 00:29:29 - mmengine - INFO - Epoch(val) [100][315/500] eta: 0:00:15 time: 0.1147 data_time: 0.0035 memory: 602 2022/08/26 00:29:30 - mmengine - INFO - Epoch(val) [100][320/500] eta: 0:00:37 time: 0.2108 data_time: 0.0090 memory: 602 2022/08/26 00:29:31 - mmengine - INFO - Epoch(val) [100][325/500] eta: 0:00:37 time: 0.1966 data_time: 0.0072 memory: 602 2022/08/26 00:29:31 - mmengine - INFO - Epoch(val) [100][330/500] eta: 0:00:19 time: 0.1153 data_time: 0.0017 memory: 602 2022/08/26 00:29:32 - mmengine - INFO - Epoch(val) [100][335/500] eta: 0:00:19 time: 0.1390 data_time: 0.0017 memory: 602 2022/08/26 00:29:33 - mmengine - INFO - Epoch(val) [100][340/500] eta: 0:00:24 time: 0.1554 data_time: 0.0018 memory: 602 2022/08/26 00:29:34 - mmengine - INFO - Epoch(val) [100][345/500] eta: 0:00:24 time: 0.1371 data_time: 0.0018 memory: 602 2022/08/26 00:29:34 - mmengine - INFO - Epoch(val) [100][350/500] eta: 0:00:20 time: 0.1400 data_time: 0.0017 memory: 602 2022/08/26 00:29:35 - mmengine - INFO - Epoch(val) [100][355/500] eta: 0:00:20 time: 0.1745 data_time: 0.0016 memory: 594 2022/08/26 00:29:36 - mmengine - INFO - Epoch(val) [100][360/500] eta: 0:00:20 time: 0.1460 data_time: 0.0016 memory: 602 2022/08/26 00:29:37 - mmengine - INFO - Epoch(val) [100][365/500] eta: 0:00:20 time: 0.1264 data_time: 0.0020 memory: 602 2022/08/26 00:29:37 - mmengine - INFO - Epoch(val) [100][370/500] eta: 0:00:15 time: 0.1228 data_time: 0.0021 memory: 602 2022/08/26 00:29:38 - mmengine - INFO - Epoch(val) [100][375/500] eta: 0:00:15 time: 0.1255 data_time: 0.0046 memory: 587 2022/08/26 00:29:38 - mmengine - INFO - Epoch(val) [100][380/500] eta: 0:00:16 time: 0.1409 data_time: 0.0068 memory: 602 2022/08/26 00:29:39 - mmengine - INFO - Epoch(val) [100][385/500] eta: 0:00:16 time: 0.1058 data_time: 0.0039 memory: 602 2022/08/26 00:29:40 - mmengine - INFO - Epoch(val) [100][390/500] eta: 0:00:13 time: 0.1216 data_time: 0.0086 memory: 602 2022/08/26 00:29:41 - mmengine - INFO - Epoch(val) [100][395/500] eta: 0:00:13 time: 0.2074 data_time: 0.0087 memory: 602 2022/08/26 00:29:42 - mmengine - INFO - Epoch(val) [100][400/500] eta: 0:00:21 time: 0.2103 data_time: 0.0017 memory: 602 2022/08/26 00:29:42 - mmengine - INFO - Epoch(val) [100][405/500] eta: 0:00:21 time: 0.1288 data_time: 0.0016 memory: 602 2022/08/26 00:29:43 - mmengine - INFO - Epoch(val) [100][410/500] eta: 0:00:09 time: 0.1027 data_time: 0.0015 memory: 602 2022/08/26 00:29:44 - mmengine - INFO - Epoch(val) [100][415/500] eta: 0:00:09 time: 0.1614 data_time: 0.0016 memory: 602 2022/08/26 00:29:45 - mmengine - INFO - Epoch(val) [100][420/500] eta: 0:00:13 time: 0.1743 data_time: 0.0017 memory: 602 2022/08/26 00:29:45 - mmengine - INFO - Epoch(val) [100][425/500] eta: 0:00:13 time: 0.1454 data_time: 0.0017 memory: 602 2022/08/26 00:29:46 - mmengine - INFO - Epoch(val) [100][430/500] eta: 0:00:09 time: 0.1364 data_time: 0.0017 memory: 602 2022/08/26 00:29:47 - mmengine - INFO - Epoch(val) [100][435/500] eta: 0:00:09 time: 0.1314 data_time: 0.0018 memory: 597 2022/08/26 00:29:47 - mmengine - INFO - Epoch(val) [100][440/500] eta: 0:00:08 time: 0.1369 data_time: 0.0018 memory: 602 2022/08/26 00:29:48 - mmengine - INFO - Epoch(val) [100][445/500] eta: 0:00:08 time: 0.1188 data_time: 0.0017 memory: 602 2022/08/26 00:29:48 - mmengine - INFO - Epoch(val) [100][450/500] eta: 0:00:05 time: 0.1021 data_time: 0.0017 memory: 602 2022/08/26 00:29:49 - mmengine - INFO - Epoch(val) [100][455/500] eta: 0:00:05 time: 0.1137 data_time: 0.0017 memory: 602 2022/08/26 00:29:53 - mmengine - INFO - Epoch(val) [100][460/500] eta: 0:00:18 time: 0.4739 data_time: 0.0303 memory: 597 2022/08/26 00:29:54 - mmengine - INFO - Epoch(val) [100][465/500] eta: 0:00:18 time: 0.4872 data_time: 0.0358 memory: 602 2022/08/26 00:29:54 - mmengine - INFO - Epoch(val) [100][470/500] eta: 0:00:04 time: 0.1343 data_time: 0.0074 memory: 602 2022/08/26 00:29:55 - mmengine - INFO - Epoch(val) [100][475/500] eta: 0:00:04 time: 0.1183 data_time: 0.0018 memory: 602 2022/08/26 00:29:55 - mmengine - INFO - Epoch(val) [100][480/500] eta: 0:00:02 time: 0.1045 data_time: 0.0016 memory: 587 2022/08/26 00:29:56 - mmengine - INFO - Epoch(val) [100][485/500] eta: 0:00:02 time: 0.0941 data_time: 0.0016 memory: 602 2022/08/26 00:29:56 - mmengine - INFO - Epoch(val) [100][490/500] eta: 0:00:00 time: 0.0995 data_time: 0.0017 memory: 602 2022/08/26 00:29:57 - mmengine - INFO - Epoch(val) [100][495/500] eta: 0:00:00 time: 0.1096 data_time: 0.0017 memory: 587 2022/08/26 00:29:58 - mmengine - INFO - Epoch(val) [100][500/500] eta: 0:00:00 time: 0.1184 data_time: 0.0016 memory: 587 2022/08/26 00:29:58 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 00:29:58 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8140, precision: 0.7115, hmean: 0.7593 2022/08/26 00:29:58 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8081, precision: 0.7440, hmean: 0.7747 2022/08/26 00:29:58 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8036, precision: 0.7662, hmean: 0.7844 2022/08/26 00:29:58 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7925, precision: 0.7884, hmean: 0.7905 2022/08/26 00:29:58 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7789, precision: 0.8078, hmean: 0.7930 2022/08/26 00:29:58 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7571, precision: 0.8317, hmean: 0.7926 2022/08/26 00:29:58 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6969, precision: 0.8659, hmean: 0.7723 2022/08/26 00:29:58 - mmengine - INFO - Epoch(val) [100][500/500] icdar/precision: 0.8078 icdar/recall: 0.7789 icdar/hmean: 0.7930 2022/08/26 00:30:01 - mmengine - INFO - Epoch(train) [101][5/125] lr: 9.3976e-04 eta: 0:00:00 time: 0.6175 data_time: 0.0779 memory: 9483 loss_text: 0.6875 loss_center: 2.7948 loss_reg_x: 0.9682 loss_reg_y: 0.9400 loss: 5.3905 2022/08/26 00:30:03 - mmengine - INFO - Epoch(train) [101][10/125] lr: 9.3976e-04 eta: 1 day, 3:32:32 time: 0.5607 data_time: 0.0779 memory: 9483 loss_text: 0.6642 loss_center: 2.8013 loss_reg_x: 0.8834 loss_reg_y: 0.9506 loss: 5.2996 2022/08/26 00:30:06 - mmengine - INFO - Epoch(train) [101][15/125] lr: 9.3976e-04 eta: 1 day, 3:32:32 time: 0.5282 data_time: 0.0159 memory: 9483 loss_text: 0.6745 loss_center: 2.7908 loss_reg_x: 0.9216 loss_reg_y: 0.9777 loss: 5.3646 2022/08/26 00:30:09 - mmengine - INFO - Epoch(train) [101][20/125] lr: 9.3976e-04 eta: 1 day, 3:32:22 time: 0.5336 data_time: 0.0134 memory: 9483 loss_text: 0.7341 loss_center: 2.8138 loss_reg_x: 0.9326 loss_reg_y: 1.0099 loss: 5.4903 2022/08/26 00:30:15 - mmengine - INFO - Epoch(train) [101][25/125] lr: 9.3976e-04 eta: 1 day, 3:32:22 time: 0.8926 data_time: 0.0538 memory: 9483 loss_text: 0.7210 loss_center: 2.8171 loss_reg_x: 0.8290 loss_reg_y: 0.9205 loss: 5.2876 2022/08/26 00:30:18 - mmengine - INFO - Epoch(train) [101][30/125] lr: 9.3976e-04 eta: 1 day, 3:33:01 time: 0.8887 data_time: 0.0548 memory: 9483 loss_text: 0.6734 loss_center: 2.7844 loss_reg_x: 0.7898 loss_reg_y: 0.6960 loss: 4.9436 2022/08/26 00:30:20 - mmengine - INFO - Epoch(train) [101][35/125] lr: 9.3976e-04 eta: 1 day, 3:33:01 time: 0.4957 data_time: 0.0137 memory: 9483 loss_text: 0.7771 loss_center: 2.8069 loss_reg_x: 0.9774 loss_reg_y: 0.9179 loss: 5.4793 2022/08/26 00:30:23 - mmengine - INFO - Epoch(train) [101][40/125] lr: 9.3976e-04 eta: 1 day, 3:32:47 time: 0.5098 data_time: 0.0196 memory: 9483 loss_text: 0.8472 loss_center: 2.8216 loss_reg_x: 1.1587 loss_reg_y: 1.2214 loss: 6.0489 2022/08/26 00:30:25 - mmengine - INFO - Epoch(train) [101][45/125] lr: 9.3976e-04 eta: 1 day, 3:32:47 time: 0.5205 data_time: 0.0199 memory: 9483 loss_text: 0.8891 loss_center: 2.8235 loss_reg_x: 1.1824 loss_reg_y: 1.2965 loss: 6.1915 2022/08/26 00:30:28 - mmengine - INFO - Epoch(train) [101][50/125] lr: 9.3976e-04 eta: 1 day, 3:32:34 time: 0.5084 data_time: 0.0132 memory: 9483 loss_text: 0.8418 loss_center: 2.8108 loss_reg_x: 1.0140 loss_reg_y: 1.1333 loss: 5.7999 2022/08/26 00:30:31 - mmengine - INFO - Epoch(train) [101][55/125] lr: 9.3976e-04 eta: 1 day, 3:32:34 time: 0.6050 data_time: 0.0131 memory: 9483 loss_text: 0.6908 loss_center: 2.7777 loss_reg_x: 0.8591 loss_reg_y: 0.9667 loss: 5.2943 2022/08/26 00:30:34 - mmengine - INFO - Epoch(train) [101][60/125] lr: 9.3976e-04 eta: 1 day, 3:32:36 time: 0.6281 data_time: 0.0161 memory: 9483 loss_text: 0.7849 loss_center: 2.7842 loss_reg_x: 1.1502 loss_reg_y: 1.1676 loss: 5.8868 2022/08/26 00:30:37 - mmengine - INFO - Epoch(train) [101][65/125] lr: 9.3976e-04 eta: 1 day, 3:32:36 time: 0.5336 data_time: 0.0154 memory: 9483 loss_text: 0.8385 loss_center: 2.7903 loss_reg_x: 1.2895 loss_reg_y: 1.2533 loss: 6.1716 2022/08/26 00:30:39 - mmengine - INFO - Epoch(train) [101][70/125] lr: 9.3976e-04 eta: 1 day, 3:32:23 time: 0.5087 data_time: 0.0131 memory: 9483 loss_text: 0.7999 loss_center: 2.7880 loss_reg_x: 1.2685 loss_reg_y: 1.2190 loss: 6.0754 2022/08/26 00:30:42 - mmengine - INFO - Epoch(train) [101][75/125] lr: 9.3976e-04 eta: 1 day, 3:32:23 time: 0.5034 data_time: 0.0137 memory: 9483 loss_text: 0.7651 loss_center: 2.7453 loss_reg_x: 1.2085 loss_reg_y: 1.2624 loss: 5.9813 2022/08/26 00:30:44 - mmengine - INFO - Epoch(train) [101][80/125] lr: 9.3976e-04 eta: 1 day, 3:32:11 time: 0.5230 data_time: 0.0147 memory: 9483 loss_text: 0.7841 loss_center: 2.7592 loss_reg_x: 1.0804 loss_reg_y: 1.3119 loss: 5.9356 2022/08/26 00:30:47 - mmengine - INFO - Epoch(train) [101][85/125] lr: 9.3976e-04 eta: 1 day, 3:32:11 time: 0.5682 data_time: 0.0142 memory: 9483 loss_text: 0.8355 loss_center: 2.8112 loss_reg_x: 1.1480 loss_reg_y: 1.1659 loss: 5.9606 2022/08/26 00:30:51 - mmengine - INFO - Epoch(train) [101][90/125] lr: 9.3976e-04 eta: 1 day, 3:32:15 time: 0.6380 data_time: 0.0430 memory: 9483 loss_text: 0.7606 loss_center: 2.8007 loss_reg_x: 1.1136 loss_reg_y: 0.9512 loss: 5.6261 2022/08/26 00:30:53 - mmengine - INFO - Epoch(train) [101][95/125] lr: 9.3976e-04 eta: 1 day, 3:32:15 time: 0.5739 data_time: 0.0471 memory: 9483 loss_text: 0.7782 loss_center: 2.8100 loss_reg_x: 1.2750 loss_reg_y: 1.1462 loss: 6.0093 2022/08/26 00:30:56 - mmengine - INFO - Epoch(train) [101][100/125] lr: 9.3976e-04 eta: 1 day, 3:31:58 time: 0.4824 data_time: 0.0182 memory: 9483 loss_text: 0.8063 loss_center: 2.8061 loss_reg_x: 1.4656 loss_reg_y: 1.2961 loss: 6.3741 2022/08/26 00:30:58 - mmengine - INFO - Epoch(train) [101][105/125] lr: 9.3976e-04 eta: 1 day, 3:31:58 time: 0.5324 data_time: 0.0143 memory: 9483 loss_text: 0.8102 loss_center: 2.8092 loss_reg_x: 1.4072 loss_reg_y: 1.0880 loss: 6.1147 2022/08/26 00:31:01 - mmengine - INFO - Epoch(train) [101][110/125] lr: 9.3976e-04 eta: 1 day, 3:31:53 time: 0.5699 data_time: 0.0136 memory: 9483 loss_text: 0.8701 loss_center: 2.7983 loss_reg_x: 1.3308 loss_reg_y: 1.0718 loss: 6.0710 2022/08/26 00:31:04 - mmengine - INFO - Epoch(train) [101][115/125] lr: 9.3976e-04 eta: 1 day, 3:31:53 time: 0.5394 data_time: 0.0140 memory: 9483 loss_text: 0.8406 loss_center: 2.7847 loss_reg_x: 1.2688 loss_reg_y: 1.2980 loss: 6.1921 2022/08/26 00:31:06 - mmengine - INFO - Epoch(train) [101][120/125] lr: 9.3976e-04 eta: 1 day, 3:31:40 time: 0.5132 data_time: 0.0151 memory: 9483 loss_text: 0.7442 loss_center: 2.7780 loss_reg_x: 1.1698 loss_reg_y: 1.1197 loss: 5.8117 2022/08/26 00:31:09 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:31:09 - mmengine - INFO - Epoch(train) [101][125/125] lr: 9.3976e-04 eta: 1 day, 3:31:40 time: 0.5053 data_time: 0.0181 memory: 9483 loss_text: 0.7796 loss_center: 2.7854 loss_reg_x: 1.0601 loss_reg_y: 0.9912 loss: 5.6162 2022/08/26 00:31:15 - mmengine - INFO - Epoch(train) [102][5/125] lr: 9.3916e-04 eta: 1 day, 3:31:40 time: 0.8601 data_time: 0.1925 memory: 9483 loss_text: 0.8245 loss_center: 2.8098 loss_reg_x: 1.0668 loss_reg_y: 0.9654 loss: 5.6666 2022/08/26 00:31:18 - mmengine - INFO - Epoch(train) [102][10/125] lr: 9.3916e-04 eta: 1 day, 3:31:35 time: 0.8771 data_time: 0.1919 memory: 9483 loss_text: 0.7691 loss_center: 2.8046 loss_reg_x: 1.0828 loss_reg_y: 0.9045 loss: 5.5609 2022/08/26 00:31:21 - mmengine - INFO - Epoch(train) [102][15/125] lr: 9.3916e-04 eta: 1 day, 3:31:35 time: 0.5588 data_time: 0.0166 memory: 9483 loss_text: 0.6692 loss_center: 2.7888 loss_reg_x: 0.9306 loss_reg_y: 0.8382 loss: 5.2267 2022/08/26 00:31:23 - mmengine - INFO - Epoch(train) [102][20/125] lr: 9.3916e-04 eta: 1 day, 3:31:27 time: 0.5529 data_time: 0.0142 memory: 9483 loss_text: 0.7419 loss_center: 2.7992 loss_reg_x: 0.9981 loss_reg_y: 0.8009 loss: 5.3400 2022/08/26 00:31:26 - mmengine - INFO - Epoch(train) [102][25/125] lr: 9.3916e-04 eta: 1 day, 3:31:27 time: 0.4909 data_time: 0.0125 memory: 9483 loss_text: 0.8080 loss_center: 2.8115 loss_reg_x: 1.0165 loss_reg_y: 1.0181 loss: 5.6540 2022/08/26 00:31:28 - mmengine - INFO - Epoch(train) [102][30/125] lr: 9.3916e-04 eta: 1 day, 3:31:10 time: 0.4853 data_time: 0.0166 memory: 9483 loss_text: 0.6895 loss_center: 2.7892 loss_reg_x: 0.9072 loss_reg_y: 1.1749 loss: 5.5608 2022/08/26 00:31:33 - mmengine - INFO - Epoch(train) [102][35/125] lr: 9.3916e-04 eta: 1 day, 3:31:10 time: 0.7838 data_time: 0.0176 memory: 9483 loss_text: 0.7945 loss_center: 2.7875 loss_reg_x: 1.0249 loss_reg_y: 1.0798 loss: 5.6867 2022/08/26 00:31:36 - mmengine - INFO - Epoch(train) [102][40/125] lr: 9.3916e-04 eta: 1 day, 3:31:32 time: 0.7684 data_time: 0.0134 memory: 9483 loss_text: 0.8609 loss_center: 2.7898 loss_reg_x: 1.0297 loss_reg_y: 0.9885 loss: 5.6689 2022/08/26 00:31:38 - mmengine - INFO - Epoch(train) [102][45/125] lr: 9.3916e-04 eta: 1 day, 3:31:32 time: 0.4948 data_time: 0.0146 memory: 9483 loss_text: 0.7000 loss_center: 2.7662 loss_reg_x: 0.8561 loss_reg_y: 0.9170 loss: 5.2394 2022/08/26 00:31:41 - mmengine - INFO - Epoch(train) [102][50/125] lr: 9.3916e-04 eta: 1 day, 3:31:26 time: 0.5621 data_time: 0.0397 memory: 9483 loss_text: 0.6901 loss_center: 2.7613 loss_reg_x: 1.0309 loss_reg_y: 1.0213 loss: 5.5036 2022/08/26 00:31:44 - mmengine - INFO - Epoch(train) [102][55/125] lr: 9.3916e-04 eta: 1 day, 3:31:26 time: 0.5751 data_time: 0.0385 memory: 9483 loss_text: 0.6898 loss_center: 2.7825 loss_reg_x: 1.1851 loss_reg_y: 1.1326 loss: 5.7899 2022/08/26 00:31:46 - mmengine - INFO - Epoch(train) [102][60/125] lr: 9.3916e-04 eta: 1 day, 3:31:11 time: 0.5009 data_time: 0.0132 memory: 9483 loss_text: 0.6909 loss_center: 2.8211 loss_reg_x: 0.9133 loss_reg_y: 1.0043 loss: 5.4296 2022/08/26 00:31:49 - mmengine - INFO - Epoch(train) [102][65/125] lr: 9.3916e-04 eta: 1 day, 3:31:11 time: 0.4894 data_time: 0.0157 memory: 9483 loss_text: 0.7192 loss_center: 2.8090 loss_reg_x: 0.8359 loss_reg_y: 0.9633 loss: 5.3274 2022/08/26 00:31:52 - mmengine - INFO - Epoch(train) [102][70/125] lr: 9.3916e-04 eta: 1 day, 3:31:09 time: 0.5869 data_time: 0.0363 memory: 9483 loss_text: 0.6870 loss_center: 2.7817 loss_reg_x: 0.8619 loss_reg_y: 0.8387 loss: 5.1694 2022/08/26 00:31:55 - mmengine - INFO - Epoch(train) [102][75/125] lr: 9.3916e-04 eta: 1 day, 3:31:09 time: 0.6122 data_time: 0.0333 memory: 9483 loss_text: 0.7791 loss_center: 2.7970 loss_reg_x: 1.0268 loss_reg_y: 0.9950 loss: 5.5979 2022/08/26 00:31:58 - mmengine - INFO - Epoch(train) [102][80/125] lr: 9.3916e-04 eta: 1 day, 3:30:58 time: 0.5303 data_time: 0.0128 memory: 9483 loss_text: 0.7663 loss_center: 2.7858 loss_reg_x: 0.9843 loss_reg_y: 0.9187 loss: 5.4550 2022/08/26 00:32:02 - mmengine - INFO - Epoch(train) [102][85/125] lr: 9.3916e-04 eta: 1 day, 3:30:58 time: 0.7054 data_time: 0.0157 memory: 9483 loss_text: 0.6736 loss_center: 2.7867 loss_reg_x: 0.8292 loss_reg_y: 0.7247 loss: 5.0143 2022/08/26 00:32:05 - mmengine - INFO - Epoch(train) [102][90/125] lr: 9.3916e-04 eta: 1 day, 3:31:10 time: 0.6963 data_time: 0.0164 memory: 9483 loss_text: 0.8040 loss_center: 2.8254 loss_reg_x: 1.0503 loss_reg_y: 0.9503 loss: 5.6299 2022/08/26 00:32:07 - mmengine - INFO - Epoch(train) [102][95/125] lr: 9.3916e-04 eta: 1 day, 3:31:10 time: 0.4960 data_time: 0.0140 memory: 9483 loss_text: 0.8650 loss_center: 2.8219 loss_reg_x: 1.0246 loss_reg_y: 1.0215 loss: 5.7330 2022/08/26 00:32:11 - mmengine - INFO - Epoch(train) [102][100/125] lr: 9.3916e-04 eta: 1 day, 3:31:11 time: 0.6180 data_time: 0.0132 memory: 9483 loss_text: 0.7771 loss_center: 2.7873 loss_reg_x: 0.9081 loss_reg_y: 0.9618 loss: 5.4344 2022/08/26 00:32:13 - mmengine - INFO - Epoch(train) [102][105/125] lr: 9.3916e-04 eta: 1 day, 3:31:11 time: 0.6182 data_time: 0.0162 memory: 9483 loss_text: 0.8126 loss_center: 2.7901 loss_reg_x: 1.1147 loss_reg_y: 1.1260 loss: 5.8434 2022/08/26 00:32:16 - mmengine - INFO - Epoch(train) [102][110/125] lr: 9.3916e-04 eta: 1 day, 3:30:57 time: 0.5029 data_time: 0.0164 memory: 9483 loss_text: 0.8210 loss_center: 2.8067 loss_reg_x: 1.1500 loss_reg_y: 1.1535 loss: 5.9311 2022/08/26 00:32:18 - mmengine - INFO - Epoch(train) [102][115/125] lr: 9.3916e-04 eta: 1 day, 3:30:57 time: 0.4892 data_time: 0.0144 memory: 9483 loss_text: 0.7644 loss_center: 2.8056 loss_reg_x: 0.9556 loss_reg_y: 1.0052 loss: 5.5308 2022/08/26 00:32:21 - mmengine - INFO - Epoch(train) [102][120/125] lr: 9.3916e-04 eta: 1 day, 3:30:50 time: 0.5577 data_time: 0.0146 memory: 9483 loss_text: 0.7883 loss_center: 2.8124 loss_reg_x: 1.0323 loss_reg_y: 1.0513 loss: 5.6843 2022/08/26 00:32:24 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:32:24 - mmengine - INFO - Epoch(train) [102][125/125] lr: 9.3916e-04 eta: 1 day, 3:30:50 time: 0.5571 data_time: 0.0170 memory: 9483 loss_text: 0.8312 loss_center: 2.8010 loss_reg_x: 1.1531 loss_reg_y: 1.0526 loss: 5.8379 2022/08/26 00:32:27 - mmengine - INFO - Epoch(train) [103][5/125] lr: 9.3855e-04 eta: 1 day, 3:30:50 time: 0.5645 data_time: 0.0784 memory: 9483 loss_text: 0.8323 loss_center: 2.8098 loss_reg_x: 1.2095 loss_reg_y: 1.2442 loss: 6.0958 2022/08/26 00:32:30 - mmengine - INFO - Epoch(train) [103][10/125] lr: 9.3855e-04 eta: 1 day, 3:30:06 time: 0.5900 data_time: 0.0756 memory: 9483 loss_text: 0.8155 loss_center: 2.8101 loss_reg_x: 1.1928 loss_reg_y: 1.1928 loss: 6.0111 2022/08/26 00:32:33 - mmengine - INFO - Epoch(train) [103][15/125] lr: 9.3855e-04 eta: 1 day, 3:30:06 time: 0.5604 data_time: 0.0531 memory: 9483 loss_text: 0.7358 loss_center: 2.7809 loss_reg_x: 1.0119 loss_reg_y: 0.9401 loss: 5.4687 2022/08/26 00:32:35 - mmengine - INFO - Epoch(train) [103][20/125] lr: 9.3855e-04 eta: 1 day, 3:29:56 time: 0.5383 data_time: 0.0536 memory: 9483 loss_text: 0.6864 loss_center: 2.7940 loss_reg_x: 0.9760 loss_reg_y: 0.9145 loss: 5.3709 2022/08/26 00:32:38 - mmengine - INFO - Epoch(train) [103][25/125] lr: 9.3855e-04 eta: 1 day, 3:29:56 time: 0.5196 data_time: 0.0143 memory: 9483 loss_text: 0.7043 loss_center: 2.7962 loss_reg_x: 0.9361 loss_reg_y: 0.8644 loss: 5.3009 2022/08/26 00:32:41 - mmengine - INFO - Epoch(train) [103][30/125] lr: 9.3855e-04 eta: 1 day, 3:29:54 time: 0.5938 data_time: 0.0125 memory: 9483 loss_text: 0.7992 loss_center: 2.7875 loss_reg_x: 0.8669 loss_reg_y: 0.8063 loss: 5.2599 2022/08/26 00:32:43 - mmengine - INFO - Epoch(train) [103][35/125] lr: 9.3855e-04 eta: 1 day, 3:29:54 time: 0.5667 data_time: 0.0142 memory: 9483 loss_text: 0.8764 loss_center: 2.8039 loss_reg_x: 0.8804 loss_reg_y: 0.8226 loss: 5.3834 2022/08/26 00:32:46 - mmengine - INFO - Epoch(train) [103][40/125] lr: 9.3855e-04 eta: 1 day, 3:29:37 time: 0.4801 data_time: 0.0156 memory: 9483 loss_text: 0.8626 loss_center: 2.8162 loss_reg_x: 0.9280 loss_reg_y: 0.8970 loss: 5.5038 2022/08/26 00:32:48 - mmengine - INFO - Epoch(train) [103][45/125] lr: 9.3855e-04 eta: 1 day, 3:29:37 time: 0.4933 data_time: 0.0142 memory: 9483 loss_text: 0.8734 loss_center: 2.7734 loss_reg_x: 0.9754 loss_reg_y: 0.8706 loss: 5.4927 2022/08/26 00:32:53 - mmengine - INFO - Epoch(train) [103][50/125] lr: 9.3855e-04 eta: 1 day, 3:29:48 time: 0.6882 data_time: 0.0130 memory: 9483 loss_text: 0.8103 loss_center: 2.7659 loss_reg_x: 0.9601 loss_reg_y: 0.8946 loss: 5.4310 2022/08/26 00:32:55 - mmengine - INFO - Epoch(train) [103][55/125] lr: 9.3855e-04 eta: 1 day, 3:29:48 time: 0.6705 data_time: 0.0158 memory: 9483 loss_text: 0.7214 loss_center: 2.7969 loss_reg_x: 0.8744 loss_reg_y: 0.8161 loss: 5.2088 2022/08/26 00:32:58 - mmengine - INFO - Epoch(train) [103][60/125] lr: 9.3855e-04 eta: 1 day, 3:29:34 time: 0.5064 data_time: 0.0183 memory: 9483 loss_text: 0.6952 loss_center: 2.8010 loss_reg_x: 0.8988 loss_reg_y: 0.7359 loss: 5.1309 2022/08/26 00:33:01 - mmengine - INFO - Epoch(train) [103][65/125] lr: 9.3855e-04 eta: 1 day, 3:29:34 time: 0.6156 data_time: 0.0208 memory: 9483 loss_text: 0.8091 loss_center: 2.8228 loss_reg_x: 1.0822 loss_reg_y: 1.0365 loss: 5.7506 2022/08/26 00:33:04 - mmengine - INFO - Epoch(train) [103][70/125] lr: 9.3855e-04 eta: 1 day, 3:29:33 time: 0.5987 data_time: 0.0186 memory: 9483 loss_text: 0.7993 loss_center: 2.8206 loss_reg_x: 1.0259 loss_reg_y: 1.0390 loss: 5.6849 2022/08/26 00:33:06 - mmengine - INFO - Epoch(train) [103][75/125] lr: 9.3855e-04 eta: 1 day, 3:29:33 time: 0.4999 data_time: 0.0148 memory: 9483 loss_text: 0.7759 loss_center: 2.7978 loss_reg_x: 0.9894 loss_reg_y: 1.1434 loss: 5.7066 2022/08/26 00:33:09 - mmengine - INFO - Epoch(train) [103][80/125] lr: 9.3855e-04 eta: 1 day, 3:29:18 time: 0.4999 data_time: 0.0159 memory: 9483 loss_text: 0.8035 loss_center: 2.7993 loss_reg_x: 1.0328 loss_reg_y: 1.1902 loss: 5.8259 2022/08/26 00:33:12 - mmengine - INFO - Epoch(train) [103][85/125] lr: 9.3855e-04 eta: 1 day, 3:29:18 time: 0.5928 data_time: 0.0158 memory: 9483 loss_text: 0.7391 loss_center: 2.7982 loss_reg_x: 1.0332 loss_reg_y: 0.8441 loss: 5.4146 2022/08/26 00:33:15 - mmengine - INFO - Epoch(train) [103][90/125] lr: 9.3855e-04 eta: 1 day, 3:29:17 time: 0.6008 data_time: 0.0145 memory: 9483 loss_text: 0.7617 loss_center: 2.7710 loss_reg_x: 1.0116 loss_reg_y: 0.8478 loss: 5.3920 2022/08/26 00:33:17 - mmengine - INFO - Epoch(train) [103][95/125] lr: 9.3855e-04 eta: 1 day, 3:29:17 time: 0.5220 data_time: 0.0167 memory: 9483 loss_text: 0.7288 loss_center: 2.7581 loss_reg_x: 0.8682 loss_reg_y: 0.8785 loss: 5.2336 2022/08/26 00:33:21 - mmengine - INFO - Epoch(train) [103][100/125] lr: 9.3855e-04 eta: 1 day, 3:29:19 time: 0.6226 data_time: 0.0231 memory: 9483 loss_text: 0.7868 loss_center: 2.7844 loss_reg_x: 1.1200 loss_reg_y: 0.9205 loss: 5.6117 2022/08/26 00:33:24 - mmengine - INFO - Epoch(train) [103][105/125] lr: 9.3855e-04 eta: 1 day, 3:29:19 time: 0.6257 data_time: 0.0198 memory: 9483 loss_text: 0.8476 loss_center: 2.8015 loss_reg_x: 1.1275 loss_reg_y: 0.9222 loss: 5.6988 2022/08/26 00:33:26 - mmengine - INFO - Epoch(train) [103][110/125] lr: 9.3855e-04 eta: 1 day, 3:29:07 time: 0.5187 data_time: 0.0128 memory: 9483 loss_text: 0.7901 loss_center: 2.8110 loss_reg_x: 0.9856 loss_reg_y: 1.0096 loss: 5.5964 2022/08/26 00:33:29 - mmengine - INFO - Epoch(train) [103][115/125] lr: 9.3855e-04 eta: 1 day, 3:29:07 time: 0.5069 data_time: 0.0133 memory: 9483 loss_text: 0.8474 loss_center: 2.8152 loss_reg_x: 1.1202 loss_reg_y: 1.1481 loss: 5.9309 2022/08/26 00:33:34 - mmengine - INFO - Epoch(train) [103][120/125] lr: 9.3855e-04 eta: 1 day, 3:29:29 time: 0.7702 data_time: 0.0158 memory: 9483 loss_text: 0.8757 loss_center: 2.8058 loss_reg_x: 1.1638 loss_reg_y: 1.1787 loss: 6.0240 2022/08/26 00:33:36 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:33:36 - mmengine - INFO - Epoch(train) [103][125/125] lr: 9.3855e-04 eta: 1 day, 3:29:29 time: 0.7698 data_time: 0.0159 memory: 9483 loss_text: 0.8237 loss_center: 2.8090 loss_reg_x: 1.2111 loss_reg_y: 1.3512 loss: 6.1950 2022/08/26 00:33:40 - mmengine - INFO - Epoch(train) [104][5/125] lr: 9.3795e-04 eta: 1 day, 3:29:29 time: 0.6075 data_time: 0.1106 memory: 9483 loss_text: 0.8133 loss_center: 2.7992 loss_reg_x: 1.1950 loss_reg_y: 1.3461 loss: 6.1536 2022/08/26 00:33:43 - mmengine - INFO - Epoch(train) [104][10/125] lr: 9.3795e-04 eta: 1 day, 3:28:48 time: 0.6098 data_time: 0.1110 memory: 9483 loss_text: 0.7913 loss_center: 2.7913 loss_reg_x: 1.1270 loss_reg_y: 1.1818 loss: 5.8915 2022/08/26 00:33:45 - mmengine - INFO - Epoch(train) [104][15/125] lr: 9.3795e-04 eta: 1 day, 3:28:48 time: 0.5170 data_time: 0.0141 memory: 9483 loss_text: 0.7725 loss_center: 2.7810 loss_reg_x: 1.1185 loss_reg_y: 1.1138 loss: 5.7859 2022/08/26 00:33:48 - mmengine - INFO - Epoch(train) [104][20/125] lr: 9.3795e-04 eta: 1 day, 3:28:35 time: 0.5126 data_time: 0.0130 memory: 9483 loss_text: 0.7498 loss_center: 2.7686 loss_reg_x: 1.1001 loss_reg_y: 1.0328 loss: 5.6513 2022/08/26 00:33:52 - mmengine - INFO - Epoch(train) [104][25/125] lr: 9.3795e-04 eta: 1 day, 3:28:35 time: 0.6884 data_time: 0.0204 memory: 9483 loss_text: 0.8023 loss_center: 2.7739 loss_reg_x: 1.1148 loss_reg_y: 0.9586 loss: 5.6495 2022/08/26 00:33:55 - mmengine - INFO - Epoch(train) [104][30/125] lr: 9.3795e-04 eta: 1 day, 3:28:49 time: 0.7150 data_time: 0.0392 memory: 9483 loss_text: 0.8133 loss_center: 2.7851 loss_reg_x: 1.1052 loss_reg_y: 1.0971 loss: 5.8007 2022/08/26 00:33:57 - mmengine - INFO - Epoch(train) [104][35/125] lr: 9.3795e-04 eta: 1 day, 3:28:49 time: 0.5386 data_time: 0.0334 memory: 9483 loss_text: 0.7602 loss_center: 2.8097 loss_reg_x: 0.9894 loss_reg_y: 1.2010 loss: 5.7603 2022/08/26 00:34:01 - mmengine - INFO - Epoch(train) [104][40/125] lr: 9.3795e-04 eta: 1 day, 3:28:45 time: 0.5823 data_time: 0.0173 memory: 9483 loss_text: 0.8036 loss_center: 2.8234 loss_reg_x: 1.1636 loss_reg_y: 1.3464 loss: 6.1371 2022/08/26 00:34:03 - mmengine - INFO - Epoch(train) [104][45/125] lr: 9.3795e-04 eta: 1 day, 3:28:45 time: 0.5861 data_time: 0.0160 memory: 9483 loss_text: 0.8314 loss_center: 2.8116 loss_reg_x: 1.3899 loss_reg_y: 1.7166 loss: 6.7495 2022/08/26 00:34:06 - mmengine - INFO - Epoch(train) [104][50/125] lr: 9.3795e-04 eta: 1 day, 3:28:31 time: 0.5032 data_time: 0.0145 memory: 9483 loss_text: 0.8988 loss_center: 2.8149 loss_reg_x: 1.3820 loss_reg_y: 1.7164 loss: 6.8121 2022/08/26 00:34:08 - mmengine - INFO - Epoch(train) [104][55/125] lr: 9.3795e-04 eta: 1 day, 3:28:31 time: 0.4762 data_time: 0.0151 memory: 9483 loss_text: 0.8412 loss_center: 2.8167 loss_reg_x: 1.1818 loss_reg_y: 1.2610 loss: 6.1006 2022/08/26 00:34:13 - mmengine - INFO - Epoch(train) [104][60/125] lr: 9.3795e-04 eta: 1 day, 3:28:45 time: 0.7133 data_time: 0.0161 memory: 9483 loss_text: 0.7471 loss_center: 2.7572 loss_reg_x: 1.1048 loss_reg_y: 1.0310 loss: 5.6402 2022/08/26 00:34:15 - mmengine - INFO - Epoch(train) [104][65/125] lr: 9.3795e-04 eta: 1 day, 3:28:45 time: 0.7240 data_time: 0.0170 memory: 9483 loss_text: 0.8049 loss_center: 2.7498 loss_reg_x: 1.2406 loss_reg_y: 1.1108 loss: 5.9061 2022/08/26 00:34:18 - mmengine - INFO - Epoch(train) [104][70/125] lr: 9.3795e-04 eta: 1 day, 3:28:28 time: 0.4814 data_time: 0.0157 memory: 9483 loss_text: 0.7870 loss_center: 2.8078 loss_reg_x: 1.1883 loss_reg_y: 1.0798 loss: 5.8629 2022/08/26 00:34:20 - mmengine - INFO - Epoch(train) [104][75/125] lr: 9.3795e-04 eta: 1 day, 3:28:28 time: 0.5090 data_time: 0.0154 memory: 9483 loss_text: 0.7196 loss_center: 2.8075 loss_reg_x: 1.0149 loss_reg_y: 1.0211 loss: 5.5631 2022/08/26 00:34:23 - mmengine - INFO - Epoch(train) [104][80/125] lr: 9.3795e-04 eta: 1 day, 3:28:17 time: 0.5282 data_time: 0.0166 memory: 9483 loss_text: 0.7265 loss_center: 2.8051 loss_reg_x: 1.0521 loss_reg_y: 1.1682 loss: 5.7520 2022/08/26 00:34:25 - mmengine - INFO - Epoch(train) [104][85/125] lr: 9.3795e-04 eta: 1 day, 3:28:17 time: 0.4990 data_time: 0.0151 memory: 9483 loss_text: 0.7238 loss_center: 2.8148 loss_reg_x: 1.1530 loss_reg_y: 1.1302 loss: 5.8218 2022/08/26 00:34:28 - mmengine - INFO - Epoch(train) [104][90/125] lr: 9.3795e-04 eta: 1 day, 3:28:04 time: 0.5119 data_time: 0.0146 memory: 9483 loss_text: 0.6846 loss_center: 2.7925 loss_reg_x: 1.0494 loss_reg_y: 0.8704 loss: 5.3969 2022/08/26 00:34:32 - mmengine - INFO - Epoch(train) [104][95/125] lr: 9.3795e-04 eta: 1 day, 3:28:04 time: 0.6575 data_time: 0.0148 memory: 9483 loss_text: 0.7613 loss_center: 2.8109 loss_reg_x: 1.1061 loss_reg_y: 1.1179 loss: 5.7962 2022/08/26 00:34:34 - mmengine - INFO - Epoch(train) [104][100/125] lr: 9.3795e-04 eta: 1 day, 3:28:07 time: 0.6313 data_time: 0.0134 memory: 9483 loss_text: 0.8729 loss_center: 2.8360 loss_reg_x: 1.2388 loss_reg_y: 1.3289 loss: 6.2766 2022/08/26 00:34:37 - mmengine - INFO - Epoch(train) [104][105/125] lr: 9.3795e-04 eta: 1 day, 3:28:07 time: 0.4902 data_time: 0.0137 memory: 9483 loss_text: 0.8425 loss_center: 2.8102 loss_reg_x: 1.0852 loss_reg_y: 1.1040 loss: 5.8418 2022/08/26 00:34:40 - mmengine - INFO - Epoch(train) [104][110/125] lr: 9.3795e-04 eta: 1 day, 3:27:59 time: 0.5437 data_time: 0.0166 memory: 9483 loss_text: 0.8083 loss_center: 2.7982 loss_reg_x: 0.9933 loss_reg_y: 0.9838 loss: 5.5836 2022/08/26 00:34:43 - mmengine - INFO - Epoch(train) [104][115/125] lr: 9.3795e-04 eta: 1 day, 3:27:59 time: 0.5743 data_time: 0.0209 memory: 9483 loss_text: 0.7831 loss_center: 2.7997 loss_reg_x: 1.1428 loss_reg_y: 1.0374 loss: 5.7631 2022/08/26 00:34:45 - mmengine - INFO - Epoch(train) [104][120/125] lr: 9.3795e-04 eta: 1 day, 3:27:48 time: 0.5300 data_time: 0.0178 memory: 9483 loss_text: 0.8572 loss_center: 2.8049 loss_reg_x: 1.2339 loss_reg_y: 1.1258 loss: 6.0217 2022/08/26 00:34:48 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:34:48 - mmengine - INFO - Epoch(train) [104][125/125] lr: 9.3795e-04 eta: 1 day, 3:27:48 time: 0.5207 data_time: 0.0127 memory: 9483 loss_text: 0.8974 loss_center: 2.8162 loss_reg_x: 1.1275 loss_reg_y: 1.1482 loss: 5.9893 2022/08/26 00:34:53 - mmengine - INFO - Epoch(train) [105][5/125] lr: 9.3734e-04 eta: 1 day, 3:27:48 time: 0.7359 data_time: 0.0729 memory: 9483 loss_text: 0.8184 loss_center: 2.8187 loss_reg_x: 1.2162 loss_reg_y: 1.1723 loss: 6.0255 2022/08/26 00:34:55 - mmengine - INFO - Epoch(train) [105][10/125] lr: 9.3734e-04 eta: 1 day, 3:27:25 time: 0.7415 data_time: 0.0722 memory: 9483 loss_text: 0.8278 loss_center: 2.8035 loss_reg_x: 1.2419 loss_reg_y: 1.3010 loss: 6.1742 2022/08/26 00:34:58 - mmengine - INFO - Epoch(train) [105][15/125] lr: 9.3734e-04 eta: 1 day, 3:27:25 time: 0.5112 data_time: 0.0122 memory: 9483 loss_text: 0.8005 loss_center: 2.7977 loss_reg_x: 1.4165 loss_reg_y: 1.4741 loss: 6.4888 2022/08/26 00:35:00 - mmengine - INFO - Epoch(train) [105][20/125] lr: 9.3734e-04 eta: 1 day, 3:27:09 time: 0.4867 data_time: 0.0129 memory: 9483 loss_text: 0.8119 loss_center: 2.8062 loss_reg_x: 1.3892 loss_reg_y: 1.3187 loss: 6.3259 2022/08/26 00:35:03 - mmengine - INFO - Epoch(train) [105][25/125] lr: 9.3734e-04 eta: 1 day, 3:27:09 time: 0.4921 data_time: 0.0147 memory: 9483 loss_text: 0.8375 loss_center: 2.7947 loss_reg_x: 1.0398 loss_reg_y: 1.1292 loss: 5.8012 2022/08/26 00:35:05 - mmengine - INFO - Epoch(train) [105][30/125] lr: 9.3734e-04 eta: 1 day, 3:26:52 time: 0.4834 data_time: 0.0181 memory: 9483 loss_text: 0.8952 loss_center: 2.8176 loss_reg_x: 1.0979 loss_reg_y: 1.2767 loss: 6.0874 2022/08/26 00:35:08 - mmengine - INFO - Epoch(train) [105][35/125] lr: 9.3734e-04 eta: 1 day, 3:26:52 time: 0.5046 data_time: 0.0155 memory: 9483 loss_text: 0.8767 loss_center: 2.8383 loss_reg_x: 1.0864 loss_reg_y: 1.1772 loss: 5.9784 2022/08/26 00:35:15 - mmengine - INFO - Epoch(train) [105][40/125] lr: 9.3734e-04 eta: 1 day, 3:27:39 time: 0.9641 data_time: 0.0702 memory: 9483 loss_text: 0.7514 loss_center: 2.7779 loss_reg_x: 1.0574 loss_reg_y: 1.1100 loss: 5.6966 2022/08/26 00:35:17 - mmengine - INFO - Epoch(train) [105][45/125] lr: 9.3734e-04 eta: 1 day, 3:27:39 time: 0.9640 data_time: 0.0781 memory: 9483 loss_text: 0.6864 loss_center: 2.7557 loss_reg_x: 0.9172 loss_reg_y: 1.0377 loss: 5.3970 2022/08/26 00:35:20 - mmengine - INFO - Epoch(train) [105][50/125] lr: 9.3734e-04 eta: 1 day, 3:27:27 time: 0.5192 data_time: 0.0200 memory: 9483 loss_text: 0.6853 loss_center: 2.7796 loss_reg_x: 0.9471 loss_reg_y: 0.9286 loss: 5.3406 2022/08/26 00:35:22 - mmengine - INFO - Epoch(train) [105][55/125] lr: 9.3734e-04 eta: 1 day, 3:27:27 time: 0.5117 data_time: 0.0123 memory: 9483 loss_text: 0.7793 loss_center: 2.8020 loss_reg_x: 1.3090 loss_reg_y: 1.1921 loss: 6.0824 2022/08/26 00:35:25 - mmengine - INFO - Epoch(train) [105][60/125] lr: 9.3734e-04 eta: 1 day, 3:27:13 time: 0.4990 data_time: 0.0125 memory: 9483 loss_text: 0.8304 loss_center: 2.8165 loss_reg_x: 1.3454 loss_reg_y: 1.3050 loss: 6.2972 2022/08/26 00:35:27 - mmengine - INFO - Epoch(train) [105][65/125] lr: 9.3734e-04 eta: 1 day, 3:27:13 time: 0.4924 data_time: 0.0187 memory: 9483 loss_text: 0.8232 loss_center: 2.7977 loss_reg_x: 1.1743 loss_reg_y: 1.2324 loss: 6.0276 2022/08/26 00:35:30 - mmengine - INFO - Epoch(train) [105][70/125] lr: 9.3734e-04 eta: 1 day, 3:26:56 time: 0.4854 data_time: 0.0202 memory: 9483 loss_text: 0.7634 loss_center: 2.7847 loss_reg_x: 1.0409 loss_reg_y: 1.1557 loss: 5.7447 2022/08/26 00:35:35 - mmengine - INFO - Epoch(train) [105][75/125] lr: 9.3734e-04 eta: 1 day, 3:26:56 time: 0.7999 data_time: 0.0160 memory: 9483 loss_text: 0.8097 loss_center: 2.8109 loss_reg_x: 1.1085 loss_reg_y: 1.3473 loss: 6.0764 2022/08/26 00:35:38 - mmengine - INFO - Epoch(train) [105][80/125] lr: 9.3734e-04 eta: 1 day, 3:27:23 time: 0.8088 data_time: 0.0197 memory: 9483 loss_text: 0.8911 loss_center: 2.8212 loss_reg_x: 1.3804 loss_reg_y: 1.4643 loss: 6.5570 2022/08/26 00:35:41 - mmengine - INFO - Epoch(train) [105][85/125] lr: 9.3734e-04 eta: 1 day, 3:27:23 time: 0.5878 data_time: 0.0176 memory: 9483 loss_text: 0.7943 loss_center: 2.7964 loss_reg_x: 1.2210 loss_reg_y: 1.0731 loss: 5.8848 2022/08/26 00:35:44 - mmengine - INFO - Epoch(train) [105][90/125] lr: 9.3734e-04 eta: 1 day, 3:27:20 time: 0.5885 data_time: 0.0129 memory: 9483 loss_text: 0.8333 loss_center: 2.8132 loss_reg_x: 1.1965 loss_reg_y: 0.9675 loss: 5.8105 2022/08/26 00:35:46 - mmengine - INFO - Epoch(train) [105][95/125] lr: 9.3734e-04 eta: 1 day, 3:27:20 time: 0.5062 data_time: 0.0128 memory: 9483 loss_text: 0.8820 loss_center: 2.8314 loss_reg_x: 1.2830 loss_reg_y: 1.1549 loss: 6.1513 2022/08/26 00:35:49 - mmengine - INFO - Epoch(train) [105][100/125] lr: 9.3734e-04 eta: 1 day, 3:27:10 time: 0.5340 data_time: 0.0198 memory: 9483 loss_text: 0.9420 loss_center: 2.8047 loss_reg_x: 1.0087 loss_reg_y: 1.0214 loss: 5.7769 2022/08/26 00:35:55 - mmengine - INFO - Epoch(train) [105][105/125] lr: 9.3734e-04 eta: 1 day, 3:27:10 time: 0.9089 data_time: 0.0222 memory: 9483 loss_text: 0.9353 loss_center: 2.7799 loss_reg_x: 0.9844 loss_reg_y: 0.9082 loss: 5.6077 2022/08/26 00:35:58 - mmengine - INFO - Epoch(train) [105][110/125] lr: 9.3734e-04 eta: 1 day, 3:27:46 time: 0.8821 data_time: 0.0158 memory: 9483 loss_text: 0.9278 loss_center: 2.7988 loss_reg_x: 1.1993 loss_reg_y: 0.9760 loss: 5.9019 2022/08/26 00:36:00 - mmengine - INFO - Epoch(train) [105][115/125] lr: 9.3734e-04 eta: 1 day, 3:27:46 time: 0.5036 data_time: 0.0185 memory: 9483 loss_text: 0.9567 loss_center: 2.8227 loss_reg_x: 1.2426 loss_reg_y: 1.0054 loss: 6.0274 2022/08/26 00:36:03 - mmengine - INFO - Epoch(train) [105][120/125] lr: 9.3734e-04 eta: 1 day, 3:27:32 time: 0.5039 data_time: 0.0180 memory: 9483 loss_text: 0.8216 loss_center: 2.8225 loss_reg_x: 1.1570 loss_reg_y: 1.1984 loss: 5.9995 2022/08/26 00:36:05 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:36:05 - mmengine - INFO - Epoch(train) [105][125/125] lr: 9.3734e-04 eta: 1 day, 3:27:32 time: 0.4959 data_time: 0.0128 memory: 9483 loss_text: 0.8249 loss_center: 2.8161 loss_reg_x: 1.1012 loss_reg_y: 1.2176 loss: 5.9598 2022/08/26 00:36:09 - mmengine - INFO - Epoch(train) [106][5/125] lr: 9.3674e-04 eta: 1 day, 3:27:32 time: 0.5953 data_time: 0.0726 memory: 9483 loss_text: 0.8821 loss_center: 2.8226 loss_reg_x: 1.0887 loss_reg_y: 1.1064 loss: 5.8998 2022/08/26 00:36:12 - mmengine - INFO - Epoch(train) [106][10/125] lr: 9.3674e-04 eta: 1 day, 3:26:59 time: 0.6653 data_time: 0.1034 memory: 9483 loss_text: 0.8573 loss_center: 2.8113 loss_reg_x: 1.0797 loss_reg_y: 1.0932 loss: 5.8413 2022/08/26 00:36:14 - mmengine - INFO - Epoch(train) [106][15/125] lr: 9.3674e-04 eta: 1 day, 3:26:59 time: 0.5485 data_time: 0.0437 memory: 9483 loss_text: 0.7886 loss_center: 2.8038 loss_reg_x: 1.0465 loss_reg_y: 1.0445 loss: 5.6834 2022/08/26 00:36:17 - mmengine - INFO - Epoch(train) [106][20/125] lr: 9.3674e-04 eta: 1 day, 3:26:46 time: 0.5072 data_time: 0.0138 memory: 9483 loss_text: 0.7203 loss_center: 2.8136 loss_reg_x: 1.1203 loss_reg_y: 1.1440 loss: 5.7982 2022/08/26 00:36:20 - mmengine - INFO - Epoch(train) [106][25/125] lr: 9.3674e-04 eta: 1 day, 3:26:46 time: 0.5237 data_time: 0.0133 memory: 9483 loss_text: 0.6956 loss_center: 2.7988 loss_reg_x: 1.0769 loss_reg_y: 1.1822 loss: 5.7534 2022/08/26 00:36:24 - mmengine - INFO - Epoch(train) [106][30/125] lr: 9.3674e-04 eta: 1 day, 3:26:57 time: 0.6943 data_time: 0.0194 memory: 9483 loss_text: 0.7267 loss_center: 2.7883 loss_reg_x: 1.0072 loss_reg_y: 1.0058 loss: 5.5281 2022/08/26 00:36:26 - mmengine - INFO - Epoch(train) [106][35/125] lr: 9.3674e-04 eta: 1 day, 3:26:57 time: 0.6934 data_time: 0.0200 memory: 9483 loss_text: 0.7991 loss_center: 2.8054 loss_reg_x: 0.9676 loss_reg_y: 0.8970 loss: 5.4691 2022/08/26 00:36:29 - mmengine - INFO - Epoch(train) [106][40/125] lr: 9.3674e-04 eta: 1 day, 3:26:44 time: 0.5156 data_time: 0.0132 memory: 9483 loss_text: 0.8128 loss_center: 2.8136 loss_reg_x: 1.0131 loss_reg_y: 1.1024 loss: 5.7418 2022/08/26 00:36:32 - mmengine - INFO - Epoch(train) [106][45/125] lr: 9.3674e-04 eta: 1 day, 3:26:44 time: 0.5703 data_time: 0.0123 memory: 9483 loss_text: 0.8332 loss_center: 2.8044 loss_reg_x: 1.1779 loss_reg_y: 1.0638 loss: 5.8794 2022/08/26 00:36:35 - mmengine - INFO - Epoch(train) [106][50/125] lr: 9.3674e-04 eta: 1 day, 3:26:36 time: 0.5469 data_time: 0.0149 memory: 9483 loss_text: 0.7993 loss_center: 2.7863 loss_reg_x: 1.0554 loss_reg_y: 0.8635 loss: 5.5046 2022/08/26 00:36:37 - mmengine - INFO - Epoch(train) [106][55/125] lr: 9.3674e-04 eta: 1 day, 3:26:36 time: 0.4845 data_time: 0.0157 memory: 9483 loss_text: 0.8082 loss_center: 2.7812 loss_reg_x: 0.8889 loss_reg_y: 0.9144 loss: 5.3927 2022/08/26 00:36:40 - mmengine - INFO - Epoch(train) [106][60/125] lr: 9.3674e-04 eta: 1 day, 3:26:21 time: 0.4956 data_time: 0.0128 memory: 9483 loss_text: 0.9810 loss_center: 2.8051 loss_reg_x: 1.1012 loss_reg_y: 1.0554 loss: 5.9427 2022/08/26 00:36:42 - mmengine - INFO - Epoch(train) [106][65/125] lr: 9.3674e-04 eta: 1 day, 3:26:21 time: 0.5343 data_time: 0.0124 memory: 9483 loss_text: 0.9456 loss_center: 2.8095 loss_reg_x: 1.0900 loss_reg_y: 1.1768 loss: 6.0220 2022/08/26 00:36:45 - mmengine - INFO - Epoch(train) [106][70/125] lr: 9.3674e-04 eta: 1 day, 3:26:12 time: 0.5398 data_time: 0.0152 memory: 9483 loss_text: 0.8364 loss_center: 2.8091 loss_reg_x: 1.0986 loss_reg_y: 1.2961 loss: 6.0402 2022/08/26 00:36:48 - mmengine - INFO - Epoch(train) [106][75/125] lr: 9.3674e-04 eta: 1 day, 3:26:12 time: 0.5570 data_time: 0.0246 memory: 9483 loss_text: 0.8346 loss_center: 2.8089 loss_reg_x: 1.3331 loss_reg_y: 1.3551 loss: 6.3318 2022/08/26 00:36:51 - mmengine - INFO - Epoch(train) [106][80/125] lr: 9.3674e-04 eta: 1 day, 3:26:07 time: 0.5697 data_time: 0.0228 memory: 9483 loss_text: 0.8225 loss_center: 2.8024 loss_reg_x: 1.2347 loss_reg_y: 1.1610 loss: 6.0206 2022/08/26 00:36:53 - mmengine - INFO - Epoch(train) [106][85/125] lr: 9.3674e-04 eta: 1 day, 3:26:07 time: 0.5161 data_time: 0.0143 memory: 9483 loss_text: 0.8148 loss_center: 2.8116 loss_reg_x: 1.1496 loss_reg_y: 1.0773 loss: 5.8533 2022/08/26 00:36:56 - mmengine - INFO - Epoch(train) [106][90/125] lr: 9.3674e-04 eta: 1 day, 3:25:53 time: 0.5036 data_time: 0.0160 memory: 9483 loss_text: 0.7962 loss_center: 2.8082 loss_reg_x: 1.2817 loss_reg_y: 1.1728 loss: 6.0588 2022/08/26 00:36:58 - mmengine - INFO - Epoch(train) [106][95/125] lr: 9.3674e-04 eta: 1 day, 3:25:53 time: 0.5112 data_time: 0.0150 memory: 9483 loss_text: 0.7753 loss_center: 2.7941 loss_reg_x: 1.1939 loss_reg_y: 1.0543 loss: 5.8175 2022/08/26 00:37:03 - mmengine - INFO - Epoch(train) [106][100/125] lr: 9.3674e-04 eta: 1 day, 3:26:02 time: 0.6805 data_time: 0.0129 memory: 9483 loss_text: 0.8124 loss_center: 2.7982 loss_reg_x: 1.1188 loss_reg_y: 0.9091 loss: 5.6385 2022/08/26 00:37:05 - mmengine - INFO - Epoch(train) [106][105/125] lr: 9.3674e-04 eta: 1 day, 3:26:02 time: 0.6879 data_time: 0.0187 memory: 9483 loss_text: 0.8471 loss_center: 2.7981 loss_reg_x: 1.1840 loss_reg_y: 0.9459 loss: 5.7751 2022/08/26 00:37:08 - mmengine - INFO - Epoch(train) [106][110/125] lr: 9.3674e-04 eta: 1 day, 3:25:48 time: 0.5059 data_time: 0.0210 memory: 9483 loss_text: 0.8326 loss_center: 2.8039 loss_reg_x: 1.2047 loss_reg_y: 1.1155 loss: 5.9567 2022/08/26 00:37:10 - mmengine - INFO - Epoch(train) [106][115/125] lr: 9.3674e-04 eta: 1 day, 3:25:48 time: 0.4954 data_time: 0.0146 memory: 9483 loss_text: 0.8057 loss_center: 2.7549 loss_reg_x: 1.2838 loss_reg_y: 1.2497 loss: 6.0941 2022/08/26 00:37:13 - mmengine - INFO - Epoch(train) [106][120/125] lr: 9.3674e-04 eta: 1 day, 3:25:35 time: 0.5104 data_time: 0.0199 memory: 9483 loss_text: 0.7783 loss_center: 2.7317 loss_reg_x: 1.2139 loss_reg_y: 1.4721 loss: 6.1960 2022/08/26 00:37:15 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:37:15 - mmengine - INFO - Epoch(train) [106][125/125] lr: 9.3674e-04 eta: 1 day, 3:25:35 time: 0.5364 data_time: 0.0241 memory: 9483 loss_text: 0.7874 loss_center: 2.7769 loss_reg_x: 1.3550 loss_reg_y: 1.9093 loss: 6.8285 2022/08/26 00:37:19 - mmengine - INFO - Epoch(train) [107][5/125] lr: 9.3613e-04 eta: 1 day, 3:25:35 time: 0.5849 data_time: 0.0710 memory: 9483 loss_text: 0.8244 loss_center: 2.8130 loss_reg_x: 1.3575 loss_reg_y: 1.7668 loss: 6.7617 2022/08/26 00:37:23 - mmengine - INFO - Epoch(train) [107][10/125] lr: 9.3613e-04 eta: 1 day, 3:25:15 time: 0.7599 data_time: 0.0684 memory: 9483 loss_text: 0.8143 loss_center: 2.8348 loss_reg_x: 0.9866 loss_reg_y: 1.1838 loss: 5.8196 2022/08/26 00:37:26 - mmengine - INFO - Epoch(train) [107][15/125] lr: 9.3613e-04 eta: 1 day, 3:25:15 time: 0.6997 data_time: 0.0167 memory: 9483 loss_text: 0.7922 loss_center: 2.8236 loss_reg_x: 0.9945 loss_reg_y: 1.0456 loss: 5.6560 2022/08/26 00:37:28 - mmengine - INFO - Epoch(train) [107][20/125] lr: 9.3613e-04 eta: 1 day, 3:25:01 time: 0.5048 data_time: 0.0175 memory: 9483 loss_text: 0.7849 loss_center: 2.8157 loss_reg_x: 1.0558 loss_reg_y: 1.1601 loss: 5.8165 2022/08/26 00:37:32 - mmengine - INFO - Epoch(train) [107][25/125] lr: 9.3613e-04 eta: 1 day, 3:25:01 time: 0.6168 data_time: 0.0151 memory: 9483 loss_text: 0.7141 loss_center: 2.8108 loss_reg_x: 1.0685 loss_reg_y: 1.1263 loss: 5.7198 2022/08/26 00:37:34 - mmengine - INFO - Epoch(train) [107][30/125] lr: 9.3613e-04 eta: 1 day, 3:25:05 time: 0.6357 data_time: 0.0139 memory: 9483 loss_text: 0.7278 loss_center: 2.7979 loss_reg_x: 1.4044 loss_reg_y: 1.2370 loss: 6.1671 2022/08/26 00:37:37 - mmengine - INFO - Epoch(train) [107][35/125] lr: 9.3613e-04 eta: 1 day, 3:25:05 time: 0.5078 data_time: 0.0129 memory: 9483 loss_text: 0.8073 loss_center: 2.8115 loss_reg_x: 1.2798 loss_reg_y: 1.4566 loss: 6.3552 2022/08/26 00:37:39 - mmengine - INFO - Epoch(train) [107][40/125] lr: 9.3613e-04 eta: 1 day, 3:24:49 time: 0.4876 data_time: 0.0147 memory: 9483 loss_text: 0.7416 loss_center: 2.8218 loss_reg_x: 0.9269 loss_reg_y: 1.2535 loss: 5.7438 2022/08/26 00:37:43 - mmengine - INFO - Epoch(train) [107][45/125] lr: 9.3613e-04 eta: 1 day, 3:24:49 time: 0.5835 data_time: 0.0151 memory: 9483 loss_text: 0.8029 loss_center: 2.7914 loss_reg_x: 0.9595 loss_reg_y: 0.8929 loss: 5.4466 2022/08/26 00:37:45 - mmengine - INFO - Epoch(train) [107][50/125] lr: 9.3613e-04 eta: 1 day, 3:24:46 time: 0.5885 data_time: 0.0139 memory: 9483 loss_text: 0.8333 loss_center: 2.7840 loss_reg_x: 0.9564 loss_reg_y: 1.1160 loss: 5.6897 2022/08/26 00:37:48 - mmengine - INFO - Epoch(train) [107][55/125] lr: 9.3613e-04 eta: 1 day, 3:24:46 time: 0.5116 data_time: 0.0135 memory: 9483 loss_text: 0.7141 loss_center: 2.7881 loss_reg_x: 0.9978 loss_reg_y: 1.1896 loss: 5.6896 2022/08/26 00:37:51 - mmengine - INFO - Epoch(train) [107][60/125] lr: 9.3613e-04 eta: 1 day, 3:24:45 time: 0.6025 data_time: 0.0161 memory: 9483 loss_text: 0.7579 loss_center: 2.8023 loss_reg_x: 1.0412 loss_reg_y: 0.9774 loss: 5.5788 2022/08/26 00:37:54 - mmengine - INFO - Epoch(train) [107][65/125] lr: 9.3613e-04 eta: 1 day, 3:24:45 time: 0.5888 data_time: 0.0172 memory: 9483 loss_text: 0.7287 loss_center: 2.7994 loss_reg_x: 0.9996 loss_reg_y: 0.9348 loss: 5.4625 2022/08/26 00:37:56 - mmengine - INFO - Epoch(train) [107][70/125] lr: 9.3613e-04 eta: 1 day, 3:24:29 time: 0.4884 data_time: 0.0133 memory: 9483 loss_text: 0.7664 loss_center: 2.7762 loss_reg_x: 1.1642 loss_reg_y: 0.9357 loss: 5.6425 2022/08/26 00:37:59 - mmengine - INFO - Epoch(train) [107][75/125] lr: 9.3613e-04 eta: 1 day, 3:24:29 time: 0.4926 data_time: 0.0129 memory: 9483 loss_text: 0.7987 loss_center: 2.7677 loss_reg_x: 1.0550 loss_reg_y: 0.8399 loss: 5.4613 2022/08/26 00:38:02 - mmengine - INFO - Epoch(train) [107][80/125] lr: 9.3613e-04 eta: 1 day, 3:24:25 time: 0.5793 data_time: 0.0250 memory: 9483 loss_text: 0.7738 loss_center: 2.7921 loss_reg_x: 0.9861 loss_reg_y: 0.8857 loss: 5.4378 2022/08/26 00:38:04 - mmengine - INFO - Epoch(train) [107][85/125] lr: 9.3613e-04 eta: 1 day, 3:24:25 time: 0.5782 data_time: 0.0269 memory: 9483 loss_text: 0.8101 loss_center: 2.8288 loss_reg_x: 1.1724 loss_reg_y: 1.2087 loss: 6.0201 2022/08/26 00:38:07 - mmengine - INFO - Epoch(train) [107][90/125] lr: 9.3613e-04 eta: 1 day, 3:24:09 time: 0.4873 data_time: 0.0152 memory: 9483 loss_text: 0.7638 loss_center: 2.8244 loss_reg_x: 1.0931 loss_reg_y: 1.0544 loss: 5.7357 2022/08/26 00:38:09 - mmengine - INFO - Epoch(train) [107][95/125] lr: 9.3613e-04 eta: 1 day, 3:24:09 time: 0.4754 data_time: 0.0131 memory: 9483 loss_text: 0.8711 loss_center: 2.8141 loss_reg_x: 1.1369 loss_reg_y: 0.9562 loss: 5.7783 2022/08/26 00:38:13 - mmengine - INFO - Epoch(train) [107][100/125] lr: 9.3613e-04 eta: 1 day, 3:24:16 time: 0.6648 data_time: 0.0180 memory: 9483 loss_text: 0.9748 loss_center: 2.8215 loss_reg_x: 1.0796 loss_reg_y: 1.0593 loss: 5.9352 2022/08/26 00:38:16 - mmengine - INFO - Epoch(train) [107][105/125] lr: 9.3613e-04 eta: 1 day, 3:24:16 time: 0.6942 data_time: 0.0190 memory: 9483 loss_text: 0.8355 loss_center: 2.8074 loss_reg_x: 0.9857 loss_reg_y: 1.1283 loss: 5.7569 2022/08/26 00:38:18 - mmengine - INFO - Epoch(train) [107][110/125] lr: 9.3613e-04 eta: 1 day, 3:24:01 time: 0.4929 data_time: 0.0135 memory: 9483 loss_text: 0.7676 loss_center: 2.7808 loss_reg_x: 1.2291 loss_reg_y: 1.4248 loss: 6.2023 2022/08/26 00:38:22 - mmengine - INFO - Epoch(train) [107][115/125] lr: 9.3613e-04 eta: 1 day, 3:24:01 time: 0.5666 data_time: 0.0120 memory: 9483 loss_text: 0.8250 loss_center: 2.7913 loss_reg_x: 1.3151 loss_reg_y: 1.2958 loss: 6.2271 2022/08/26 00:38:24 - mmengine - INFO - Epoch(train) [107][120/125] lr: 9.3613e-04 eta: 1 day, 3:23:58 time: 0.5904 data_time: 0.0156 memory: 9483 loss_text: 0.8396 loss_center: 2.8342 loss_reg_x: 1.2895 loss_reg_y: 1.2032 loss: 6.1665 2022/08/26 00:38:27 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:38:27 - mmengine - INFO - Epoch(train) [107][125/125] lr: 9.3613e-04 eta: 1 day, 3:23:58 time: 0.5176 data_time: 0.0164 memory: 9483 loss_text: 0.8210 loss_center: 2.8193 loss_reg_x: 1.2746 loss_reg_y: 1.2068 loss: 6.1217 2022/08/26 00:38:31 - mmengine - INFO - Epoch(train) [108][5/125] lr: 9.3553e-04 eta: 1 day, 3:23:58 time: 0.6369 data_time: 0.0750 memory: 9483 loss_text: 0.7754 loss_center: 2.7874 loss_reg_x: 1.0950 loss_reg_y: 0.9778 loss: 5.6356 2022/08/26 00:38:34 - mmengine - INFO - Epoch(train) [108][10/125] lr: 9.3553e-04 eta: 1 day, 3:23:36 time: 0.7460 data_time: 0.0920 memory: 9483 loss_text: 0.8048 loss_center: 2.8064 loss_reg_x: 1.0123 loss_reg_y: 1.0483 loss: 5.6718 2022/08/26 00:38:37 - mmengine - INFO - Epoch(train) [108][15/125] lr: 9.3553e-04 eta: 1 day, 3:23:36 time: 0.6376 data_time: 0.0320 memory: 9483 loss_text: 0.8009 loss_center: 2.8027 loss_reg_x: 0.9952 loss_reg_y: 1.0361 loss: 5.6349 2022/08/26 00:38:40 - mmengine - INFO - Epoch(train) [108][20/125] lr: 9.3553e-04 eta: 1 day, 3:23:26 time: 0.5286 data_time: 0.0155 memory: 9483 loss_text: 0.7123 loss_center: 2.7869 loss_reg_x: 1.0105 loss_reg_y: 0.8250 loss: 5.3347 2022/08/26 00:38:43 - mmengine - INFO - Epoch(train) [108][25/125] lr: 9.3553e-04 eta: 1 day, 3:23:26 time: 0.6054 data_time: 0.0143 memory: 9483 loss_text: 0.6588 loss_center: 2.7850 loss_reg_x: 0.9704 loss_reg_y: 0.7624 loss: 5.1766 2022/08/26 00:38:47 - mmengine - INFO - Epoch(train) [108][30/125] lr: 9.3553e-04 eta: 1 day, 3:23:35 time: 0.6809 data_time: 0.0142 memory: 9483 loss_text: 0.6760 loss_center: 2.7854 loss_reg_x: 0.9393 loss_reg_y: 1.0278 loss: 5.4286 2022/08/26 00:38:49 - mmengine - INFO - Epoch(train) [108][35/125] lr: 9.3553e-04 eta: 1 day, 3:23:35 time: 0.6119 data_time: 0.0155 memory: 9483 loss_text: 0.6933 loss_center: 2.7921 loss_reg_x: 0.9076 loss_reg_y: 1.0867 loss: 5.4798 2022/08/26 00:38:52 - mmengine - INFO - Epoch(train) [108][40/125] lr: 9.3553e-04 eta: 1 day, 3:23:31 time: 0.5826 data_time: 0.0191 memory: 9483 loss_text: 0.7439 loss_center: 2.8166 loss_reg_x: 0.8955 loss_reg_y: 0.9549 loss: 5.4109 2022/08/26 00:38:55 - mmengine - INFO - Epoch(train) [108][45/125] lr: 9.3553e-04 eta: 1 day, 3:23:31 time: 0.5601 data_time: 0.0176 memory: 9483 loss_text: 0.8643 loss_center: 2.8260 loss_reg_x: 0.9834 loss_reg_y: 1.0670 loss: 5.7407 2022/08/26 00:38:57 - mmengine - INFO - Epoch(train) [108][50/125] lr: 9.3553e-04 eta: 1 day, 3:23:19 time: 0.5121 data_time: 0.0130 memory: 9483 loss_text: 0.7682 loss_center: 2.7764 loss_reg_x: 0.9546 loss_reg_y: 0.9897 loss: 5.4889 2022/08/26 00:39:00 - mmengine - INFO - Epoch(train) [108][55/125] lr: 9.3553e-04 eta: 1 day, 3:23:19 time: 0.5226 data_time: 0.0153 memory: 9483 loss_text: 0.6721 loss_center: 2.7802 loss_reg_x: 0.9957 loss_reg_y: 0.9167 loss: 5.3647 2022/08/26 00:39:04 - mmengine - INFO - Epoch(train) [108][60/125] lr: 9.3553e-04 eta: 1 day, 3:23:23 time: 0.6446 data_time: 0.0302 memory: 9483 loss_text: 0.7645 loss_center: 2.8242 loss_reg_x: 1.1362 loss_reg_y: 1.0191 loss: 5.7440 2022/08/26 00:39:07 - mmengine - INFO - Epoch(train) [108][65/125] lr: 9.3553e-04 eta: 1 day, 3:23:23 time: 0.7244 data_time: 0.0272 memory: 9483 loss_text: 0.7593 loss_center: 2.7978 loss_reg_x: 1.0918 loss_reg_y: 1.0710 loss: 5.7198 2022/08/26 00:39:10 - mmengine - INFO - Epoch(train) [108][70/125] lr: 9.3553e-04 eta: 1 day, 3:23:21 time: 0.5963 data_time: 0.0140 memory: 9483 loss_text: 0.7460 loss_center: 2.7782 loss_reg_x: 1.0158 loss_reg_y: 1.0105 loss: 5.5506 2022/08/26 00:39:13 - mmengine - INFO - Epoch(train) [108][75/125] lr: 9.3553e-04 eta: 1 day, 3:23:21 time: 0.5574 data_time: 0.0233 memory: 9483 loss_text: 0.8534 loss_center: 2.7963 loss_reg_x: 1.2584 loss_reg_y: 1.0413 loss: 5.9495 2022/08/26 00:39:15 - mmengine - INFO - Epoch(train) [108][80/125] lr: 9.3553e-04 eta: 1 day, 3:23:12 time: 0.5376 data_time: 0.0227 memory: 9483 loss_text: 0.8107 loss_center: 2.8164 loss_reg_x: 1.1913 loss_reg_y: 1.0284 loss: 5.8467 2022/08/26 00:39:18 - mmengine - INFO - Epoch(train) [108][85/125] lr: 9.3553e-04 eta: 1 day, 3:23:12 time: 0.5082 data_time: 0.0134 memory: 9483 loss_text: 0.7950 loss_center: 2.7927 loss_reg_x: 1.0882 loss_reg_y: 0.9423 loss: 5.6182 2022/08/26 00:39:24 - mmengine - INFO - Epoch(train) [108][90/125] lr: 9.3553e-04 eta: 1 day, 3:23:44 time: 0.8589 data_time: 0.0331 memory: 9483 loss_text: 0.8644 loss_center: 2.7796 loss_reg_x: 1.2698 loss_reg_y: 0.9761 loss: 5.8899 2022/08/26 00:39:27 - mmengine - INFO - Epoch(train) [108][95/125] lr: 9.3553e-04 eta: 1 day, 3:23:44 time: 0.8701 data_time: 0.0432 memory: 9483 loss_text: 0.7808 loss_center: 2.7851 loss_reg_x: 1.2511 loss_reg_y: 1.0291 loss: 5.8460 2022/08/26 00:39:29 - mmengine - INFO - Epoch(train) [108][100/125] lr: 9.3553e-04 eta: 1 day, 3:23:35 time: 0.5377 data_time: 0.0235 memory: 9483 loss_text: 0.7236 loss_center: 2.7817 loss_reg_x: 1.1360 loss_reg_y: 0.9998 loss: 5.6412 2022/08/26 00:39:33 - mmengine - INFO - Epoch(train) [108][105/125] lr: 9.3553e-04 eta: 1 day, 3:23:35 time: 0.6081 data_time: 0.0146 memory: 9483 loss_text: 0.7757 loss_center: 2.8090 loss_reg_x: 0.9734 loss_reg_y: 0.9940 loss: 5.5521 2022/08/26 00:39:35 - mmengine - INFO - Epoch(train) [108][110/125] lr: 9.3553e-04 eta: 1 day, 3:23:35 time: 0.6138 data_time: 0.0140 memory: 9483 loss_text: 0.7531 loss_center: 2.8043 loss_reg_x: 0.9701 loss_reg_y: 1.0770 loss: 5.6045 2022/08/26 00:39:38 - mmengine - INFO - Epoch(train) [108][115/125] lr: 9.3553e-04 eta: 1 day, 3:23:35 time: 0.5077 data_time: 0.0150 memory: 9483 loss_text: 0.7398 loss_center: 2.7326 loss_reg_x: 0.9880 loss_reg_y: 0.9875 loss: 5.4478 2022/08/26 00:39:41 - mmengine - INFO - Epoch(train) [108][120/125] lr: 9.3553e-04 eta: 1 day, 3:23:24 time: 0.5273 data_time: 0.0151 memory: 9483 loss_text: 0.7601 loss_center: 2.7432 loss_reg_x: 0.8476 loss_reg_y: 0.7936 loss: 5.1445 2022/08/26 00:39:44 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:39:44 - mmengine - INFO - Epoch(train) [108][125/125] lr: 9.3553e-04 eta: 1 day, 3:23:24 time: 0.5703 data_time: 0.0272 memory: 9483 loss_text: 0.7221 loss_center: 2.7866 loss_reg_x: 0.9071 loss_reg_y: 0.7906 loss: 5.2064 2022/08/26 00:39:47 - mmengine - INFO - Epoch(train) [109][5/125] lr: 9.3492e-04 eta: 1 day, 3:23:24 time: 0.6642 data_time: 0.1396 memory: 9483 loss_text: 0.7283 loss_center: 2.7869 loss_reg_x: 1.1206 loss_reg_y: 0.9098 loss: 5.5456 2022/08/26 00:39:50 - mmengine - INFO - Epoch(train) [109][10/125] lr: 9.3492e-04 eta: 1 day, 3:22:45 time: 0.6135 data_time: 0.1257 memory: 9483 loss_text: 0.7356 loss_center: 2.7974 loss_reg_x: 1.0663 loss_reg_y: 0.8530 loss: 5.4523 2022/08/26 00:39:53 - mmengine - INFO - Epoch(train) [109][15/125] lr: 9.3492e-04 eta: 1 day, 3:22:45 time: 0.5812 data_time: 0.0175 memory: 9483 loss_text: 0.8023 loss_center: 2.7877 loss_reg_x: 1.0507 loss_reg_y: 0.9069 loss: 5.5476 2022/08/26 00:39:57 - mmengine - INFO - Epoch(train) [109][20/125] lr: 9.3492e-04 eta: 1 day, 3:22:56 time: 0.6911 data_time: 0.0198 memory: 9483 loss_text: 0.8114 loss_center: 2.8057 loss_reg_x: 1.1042 loss_reg_y: 1.0197 loss: 5.7410 2022/08/26 00:39:59 - mmengine - INFO - Epoch(train) [109][25/125] lr: 9.3492e-04 eta: 1 day, 3:22:56 time: 0.5890 data_time: 0.0153 memory: 9483 loss_text: 0.8079 loss_center: 2.8134 loss_reg_x: 1.0859 loss_reg_y: 0.9820 loss: 5.6892 2022/08/26 00:40:11 - mmengine - INFO - Epoch(train) [109][30/125] lr: 9.3492e-04 eta: 1 day, 3:24:46 time: 1.4669 data_time: 0.0166 memory: 9483 loss_text: 0.7629 loss_center: 2.7921 loss_reg_x: 1.1058 loss_reg_y: 0.9191 loss: 5.5798 2022/08/26 00:40:15 - mmengine - INFO - Epoch(train) [109][35/125] lr: 9.3492e-04 eta: 1 day, 3:24:46 time: 1.6440 data_time: 0.0350 memory: 9483 loss_text: 0.7183 loss_center: 2.7856 loss_reg_x: 1.1529 loss_reg_y: 0.9964 loss: 5.6532 2022/08/26 00:40:18 - mmengine - INFO - Epoch(train) [109][40/125] lr: 9.3492e-04 eta: 1 day, 3:24:55 time: 0.6806 data_time: 0.0309 memory: 9483 loss_text: 0.7427 loss_center: 2.7902 loss_reg_x: 1.0303 loss_reg_y: 0.9243 loss: 5.4876 2022/08/26 00:40:21 - mmengine - INFO - Epoch(train) [109][45/125] lr: 9.3492e-04 eta: 1 day, 3:24:55 time: 0.5256 data_time: 0.0158 memory: 9483 loss_text: 0.7125 loss_center: 2.7936 loss_reg_x: 0.8199 loss_reg_y: 0.7521 loss: 5.0781 2022/08/26 00:40:23 - mmengine - INFO - Epoch(train) [109][50/125] lr: 9.3492e-04 eta: 1 day, 3:24:42 time: 0.5150 data_time: 0.0158 memory: 9483 loss_text: 0.7266 loss_center: 2.7685 loss_reg_x: 0.8189 loss_reg_y: 0.8265 loss: 5.1405 2022/08/26 00:40:26 - mmengine - INFO - Epoch(train) [109][55/125] lr: 9.3492e-04 eta: 1 day, 3:24:42 time: 0.4848 data_time: 0.0145 memory: 9483 loss_text: 0.7190 loss_center: 2.7690 loss_reg_x: 0.9141 loss_reg_y: 0.8812 loss: 5.2833 2022/08/26 00:40:28 - mmengine - INFO - Epoch(train) [109][60/125] lr: 9.3492e-04 eta: 1 day, 3:24:25 time: 0.4742 data_time: 0.0150 memory: 9483 loss_text: 0.6740 loss_center: 2.8021 loss_reg_x: 0.8872 loss_reg_y: 0.8718 loss: 5.2351 2022/08/26 00:40:31 - mmengine - INFO - Epoch(train) [109][65/125] lr: 9.3492e-04 eta: 1 day, 3:24:25 time: 0.5326 data_time: 0.0134 memory: 9483 loss_text: 0.7397 loss_center: 2.8061 loss_reg_x: 0.8804 loss_reg_y: 0.9261 loss: 5.3522 2022/08/26 00:40:34 - mmengine - INFO - Epoch(train) [109][70/125] lr: 9.3492e-04 eta: 1 day, 3:24:18 time: 0.5599 data_time: 0.0204 memory: 9483 loss_text: 0.8716 loss_center: 2.7976 loss_reg_x: 1.0629 loss_reg_y: 1.2214 loss: 5.9535 2022/08/26 00:40:36 - mmengine - INFO - Epoch(train) [109][75/125] lr: 9.3492e-04 eta: 1 day, 3:24:18 time: 0.5363 data_time: 0.0217 memory: 9483 loss_text: 0.8747 loss_center: 2.8040 loss_reg_x: 1.2442 loss_reg_y: 1.3174 loss: 6.2403 2022/08/26 00:40:39 - mmengine - INFO - Epoch(train) [109][80/125] lr: 9.3492e-04 eta: 1 day, 3:24:10 time: 0.5466 data_time: 0.0179 memory: 9483 loss_text: 0.8265 loss_center: 2.8367 loss_reg_x: 1.4167 loss_reg_y: 1.2124 loss: 6.2923 2022/08/26 00:40:42 - mmengine - INFO - Epoch(train) [109][85/125] lr: 9.3492e-04 eta: 1 day, 3:24:10 time: 0.5417 data_time: 0.0160 memory: 9483 loss_text: 0.7630 loss_center: 2.8382 loss_reg_x: 1.2153 loss_reg_y: 1.0440 loss: 5.8606 2022/08/26 00:40:44 - mmengine - INFO - Epoch(train) [109][90/125] lr: 9.3492e-04 eta: 1 day, 3:23:58 time: 0.5169 data_time: 0.0133 memory: 9483 loss_text: 0.7278 loss_center: 2.8030 loss_reg_x: 0.9818 loss_reg_y: 1.0212 loss: 5.5338 2022/08/26 00:40:47 - mmengine - INFO - Epoch(train) [109][95/125] lr: 9.3492e-04 eta: 1 day, 3:23:58 time: 0.5311 data_time: 0.0150 memory: 9483 loss_text: 0.7968 loss_center: 2.7760 loss_reg_x: 1.0882 loss_reg_y: 1.0932 loss: 5.7542 2022/08/26 00:40:50 - mmengine - INFO - Epoch(train) [109][100/125] lr: 9.3492e-04 eta: 1 day, 3:23:49 time: 0.5423 data_time: 0.0159 memory: 9483 loss_text: 0.7878 loss_center: 2.7827 loss_reg_x: 1.1799 loss_reg_y: 1.0114 loss: 5.7619 2022/08/26 00:40:57 - mmengine - INFO - Epoch(train) [109][105/125] lr: 9.3492e-04 eta: 1 day, 3:23:49 time: 1.0131 data_time: 0.0149 memory: 9483 loss_text: 0.7319 loss_center: 2.8087 loss_reg_x: 1.0630 loss_reg_y: 0.9873 loss: 5.5908 2022/08/26 00:41:00 - mmengine - INFO - Epoch(train) [109][110/125] lr: 9.3492e-04 eta: 1 day, 3:24:39 time: 1.0023 data_time: 0.0158 memory: 9483 loss_text: 0.6942 loss_center: 2.8157 loss_reg_x: 0.8210 loss_reg_y: 0.8424 loss: 5.1733 2022/08/26 00:41:02 - mmengine - INFO - Epoch(train) [109][115/125] lr: 9.3492e-04 eta: 1 day, 3:24:39 time: 0.5188 data_time: 0.0156 memory: 9483 loss_text: 0.6756 loss_center: 2.8133 loss_reg_x: 0.8813 loss_reg_y: 0.8322 loss: 5.2024 2022/08/26 00:41:05 - mmengine - INFO - Epoch(train) [109][120/125] lr: 9.3492e-04 eta: 1 day, 3:24:27 time: 0.5184 data_time: 0.0149 memory: 9483 loss_text: 0.6686 loss_center: 2.8113 loss_reg_x: 0.9783 loss_reg_y: 0.9728 loss: 5.4310 2022/08/26 00:41:07 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:41:07 - mmengine - INFO - Epoch(train) [109][125/125] lr: 9.3492e-04 eta: 1 day, 3:24:27 time: 0.5036 data_time: 0.0142 memory: 9483 loss_text: 0.7664 loss_center: 2.8117 loss_reg_x: 0.9830 loss_reg_y: 1.0929 loss: 5.6539 2022/08/26 00:41:12 - mmengine - INFO - Epoch(train) [110][5/125] lr: 9.3432e-04 eta: 1 day, 3:24:27 time: 0.7513 data_time: 0.0993 memory: 9483 loss_text: 0.8342 loss_center: 2.8132 loss_reg_x: 1.1246 loss_reg_y: 1.1425 loss: 5.9144 2022/08/26 00:41:15 - mmengine - INFO - Epoch(train) [110][10/125] lr: 9.3432e-04 eta: 1 day, 3:24:04 time: 0.7424 data_time: 0.1004 memory: 9483 loss_text: 0.7408 loss_center: 2.8023 loss_reg_x: 1.0608 loss_reg_y: 1.0235 loss: 5.6275 2022/08/26 00:41:17 - mmengine - INFO - Epoch(train) [110][15/125] lr: 9.3432e-04 eta: 1 day, 3:24:04 time: 0.4984 data_time: 0.0144 memory: 9483 loss_text: 0.7048 loss_center: 2.7956 loss_reg_x: 0.9210 loss_reg_y: 0.8517 loss: 5.2731 2022/08/26 00:41:20 - mmengine - INFO - Epoch(train) [110][20/125] lr: 9.3432e-04 eta: 1 day, 3:23:52 time: 0.5123 data_time: 0.0165 memory: 9483 loss_text: 0.7293 loss_center: 2.8052 loss_reg_x: 0.8532 loss_reg_y: 0.8419 loss: 5.2295 2022/08/26 00:41:23 - mmengine - INFO - Epoch(train) [110][25/125] lr: 9.3432e-04 eta: 1 day, 3:23:52 time: 0.5808 data_time: 0.0187 memory: 9483 loss_text: 0.7744 loss_center: 2.8204 loss_reg_x: 0.8090 loss_reg_y: 0.9081 loss: 5.3120 2022/08/26 00:41:26 - mmengine - INFO - Epoch(train) [110][30/125] lr: 9.3432e-04 eta: 1 day, 3:23:51 time: 0.6050 data_time: 0.0156 memory: 9483 loss_text: 0.7163 loss_center: 2.7809 loss_reg_x: 0.8941 loss_reg_y: 0.8358 loss: 5.2271 2022/08/26 00:41:28 - mmengine - INFO - Epoch(train) [110][35/125] lr: 9.3432e-04 eta: 1 day, 3:23:51 time: 0.5262 data_time: 0.0128 memory: 9483 loss_text: 0.7255 loss_center: 2.7564 loss_reg_x: 1.0372 loss_reg_y: 0.9298 loss: 5.4488 2022/08/26 00:41:35 - mmengine - INFO - Epoch(train) [110][40/125] lr: 9.3432e-04 eta: 1 day, 3:24:33 time: 0.9474 data_time: 0.0161 memory: 9483 loss_text: 0.8954 loss_center: 2.7902 loss_reg_x: 1.0106 loss_reg_y: 0.9858 loss: 5.6820 2022/08/26 00:41:38 - mmengine - INFO - Epoch(train) [110][45/125] lr: 9.3432e-04 eta: 1 day, 3:24:33 time: 0.9576 data_time: 0.0187 memory: 9483 loss_text: 0.8940 loss_center: 2.7538 loss_reg_x: 1.0344 loss_reg_y: 1.0606 loss: 5.7428 2022/08/26 00:41:41 - mmengine - INFO - Epoch(train) [110][50/125] lr: 9.3432e-04 eta: 1 day, 3:24:21 time: 0.5167 data_time: 0.0158 memory: 9483 loss_text: 0.8664 loss_center: 2.7462 loss_reg_x: 1.0539 loss_reg_y: 1.1089 loss: 5.7754 2022/08/26 00:41:43 - mmengine - INFO - Epoch(train) [110][55/125] lr: 9.3432e-04 eta: 1 day, 3:24:21 time: 0.5232 data_time: 0.0178 memory: 9483 loss_text: 0.8820 loss_center: 2.8057 loss_reg_x: 1.0359 loss_reg_y: 1.1366 loss: 5.8601 2022/08/26 00:41:46 - mmengine - INFO - Epoch(train) [110][60/125] lr: 9.3432e-04 eta: 1 day, 3:24:09 time: 0.5145 data_time: 0.0174 memory: 9483 loss_text: 0.7988 loss_center: 2.8205 loss_reg_x: 1.0451 loss_reg_y: 1.1212 loss: 5.7855 2022/08/26 00:41:48 - mmengine - INFO - Epoch(train) [110][65/125] lr: 9.3432e-04 eta: 1 day, 3:24:09 time: 0.5098 data_time: 0.0159 memory: 9483 loss_text: 0.6891 loss_center: 2.7953 loss_reg_x: 0.8541 loss_reg_y: 0.8047 loss: 5.1431 2022/08/26 00:41:54 - mmengine - INFO - Epoch(train) [110][70/125] lr: 9.3432e-04 eta: 1 day, 3:24:36 time: 0.8269 data_time: 0.1172 memory: 9483 loss_text: 0.7379 loss_center: 2.7865 loss_reg_x: 1.1556 loss_reg_y: 1.0117 loss: 5.6917 2022/08/26 00:41:56 - mmengine - INFO - Epoch(train) [110][75/125] lr: 9.3432e-04 eta: 1 day, 3:24:36 time: 0.7997 data_time: 0.1233 memory: 9483 loss_text: 0.7977 loss_center: 2.8129 loss_reg_x: 1.2443 loss_reg_y: 1.2275 loss: 6.0825 2022/08/26 00:41:59 - mmengine - INFO - Epoch(train) [110][80/125] lr: 9.3432e-04 eta: 1 day, 3:24:21 time: 0.4933 data_time: 0.0223 memory: 9483 loss_text: 0.7880 loss_center: 2.8393 loss_reg_x: 1.0883 loss_reg_y: 1.4106 loss: 6.1262 2022/08/26 00:42:02 - mmengine - INFO - Epoch(train) [110][85/125] lr: 9.3432e-04 eta: 1 day, 3:24:21 time: 0.5192 data_time: 0.0129 memory: 9483 loss_text: 0.7886 loss_center: 2.8262 loss_reg_x: 1.1168 loss_reg_y: 1.3289 loss: 6.0605 2022/08/26 00:42:04 - mmengine - INFO - Epoch(train) [110][90/125] lr: 9.3432e-04 eta: 1 day, 3:24:08 time: 0.5127 data_time: 0.0125 memory: 9483 loss_text: 0.7414 loss_center: 2.7824 loss_reg_x: 0.9476 loss_reg_y: 0.9567 loss: 5.4281 2022/08/26 00:42:07 - mmengine - INFO - Epoch(train) [110][95/125] lr: 9.3432e-04 eta: 1 day, 3:24:08 time: 0.5040 data_time: 0.0129 memory: 9483 loss_text: 0.7961 loss_center: 2.7840 loss_reg_x: 0.9872 loss_reg_y: 1.0077 loss: 5.5749 2022/08/26 00:42:09 - mmengine - INFO - Epoch(train) [110][100/125] lr: 9.3432e-04 eta: 1 day, 3:23:56 time: 0.5134 data_time: 0.0160 memory: 9483 loss_text: 0.7774 loss_center: 2.8045 loss_reg_x: 1.0700 loss_reg_y: 1.0141 loss: 5.6660 2022/08/26 00:42:15 - mmengine - INFO - Epoch(train) [110][105/125] lr: 9.3432e-04 eta: 1 day, 3:23:56 time: 0.7993 data_time: 0.0691 memory: 9483 loss_text: 0.7181 loss_center: 2.7420 loss_reg_x: 1.2823 loss_reg_y: 1.0773 loss: 5.8197 2022/08/26 00:42:17 - mmengine - INFO - Epoch(train) [110][110/125] lr: 9.3432e-04 eta: 1 day, 3:24:18 time: 0.7910 data_time: 0.0678 memory: 9483 loss_text: 0.7555 loss_center: 2.7519 loss_reg_x: 1.2879 loss_reg_y: 1.0940 loss: 5.8894 2022/08/26 00:42:20 - mmengine - INFO - Epoch(train) [110][115/125] lr: 9.3432e-04 eta: 1 day, 3:24:18 time: 0.4996 data_time: 0.0172 memory: 9483 loss_text: 0.8245 loss_center: 2.8163 loss_reg_x: 1.2110 loss_reg_y: 1.2785 loss: 6.1303 2022/08/26 00:42:22 - mmengine - INFO - Epoch(train) [110][120/125] lr: 9.3432e-04 eta: 1 day, 3:24:04 time: 0.4947 data_time: 0.0179 memory: 9483 loss_text: 0.8357 loss_center: 2.8288 loss_reg_x: 1.2362 loss_reg_y: 1.2994 loss: 6.2001 2022/08/26 00:42:24 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:42:24 - mmengine - INFO - Epoch(train) [110][125/125] lr: 9.3432e-04 eta: 1 day, 3:24:04 time: 0.4804 data_time: 0.0154 memory: 9483 loss_text: 0.8700 loss_center: 2.8295 loss_reg_x: 1.2286 loss_reg_y: 1.0358 loss: 5.9639 2022/08/26 00:42:28 - mmengine - INFO - Epoch(train) [111][5/125] lr: 9.3371e-04 eta: 1 day, 3:24:04 time: 0.5441 data_time: 0.0757 memory: 9483 loss_text: 0.8059 loss_center: 2.8049 loss_reg_x: 1.1366 loss_reg_y: 0.9949 loss: 5.7423 2022/08/26 00:42:30 - mmengine - INFO - Epoch(train) [111][10/125] lr: 9.3371e-04 eta: 1 day, 3:23:18 time: 0.5603 data_time: 0.0766 memory: 9483 loss_text: 0.7320 loss_center: 2.7892 loss_reg_x: 0.9399 loss_reg_y: 1.0485 loss: 5.5096 2022/08/26 00:42:35 - mmengine - INFO - Epoch(train) [111][15/125] lr: 9.3371e-04 eta: 1 day, 3:23:18 time: 0.7028 data_time: 0.0350 memory: 9483 loss_text: 0.7654 loss_center: 2.7876 loss_reg_x: 0.9706 loss_reg_y: 1.1727 loss: 5.6962 2022/08/26 00:42:37 - mmengine - INFO - Epoch(train) [111][20/125] lr: 9.3371e-04 eta: 1 day, 3:23:30 time: 0.7036 data_time: 0.0350 memory: 9483 loss_text: 0.7607 loss_center: 2.7954 loss_reg_x: 1.0173 loss_reg_y: 1.1206 loss: 5.6940 2022/08/26 00:42:40 - mmengine - INFO - Epoch(train) [111][25/125] lr: 9.3371e-04 eta: 1 day, 3:23:30 time: 0.5153 data_time: 0.0138 memory: 9483 loss_text: 0.8872 loss_center: 2.7846 loss_reg_x: 1.0585 loss_reg_y: 1.0184 loss: 5.7487 2022/08/26 00:42:42 - mmengine - INFO - Epoch(train) [111][30/125] lr: 9.3371e-04 eta: 1 day, 3:23:18 time: 0.5235 data_time: 0.0152 memory: 9483 loss_text: 0.8768 loss_center: 2.7904 loss_reg_x: 1.0184 loss_reg_y: 0.9930 loss: 5.6787 2022/08/26 00:42:45 - mmengine - INFO - Epoch(train) [111][35/125] lr: 9.3371e-04 eta: 1 day, 3:23:18 time: 0.5083 data_time: 0.0161 memory: 9483 loss_text: 0.7555 loss_center: 2.7411 loss_reg_x: 0.9110 loss_reg_y: 0.8455 loss: 5.2532 2022/08/26 00:42:48 - mmengine - INFO - Epoch(train) [111][40/125] lr: 9.3371e-04 eta: 1 day, 3:23:07 time: 0.5239 data_time: 0.0136 memory: 9483 loss_text: 0.7274 loss_center: 2.7149 loss_reg_x: 0.9128 loss_reg_y: 0.7990 loss: 5.1541 2022/08/26 00:42:53 - mmengine - INFO - Epoch(train) [111][45/125] lr: 9.3371e-04 eta: 1 day, 3:23:07 time: 0.7881 data_time: 0.0435 memory: 9483 loss_text: 0.7154 loss_center: 2.7657 loss_reg_x: 0.9274 loss_reg_y: 0.9240 loss: 5.3325 2022/08/26 00:42:55 - mmengine - INFO - Epoch(train) [111][50/125] lr: 9.3371e-04 eta: 1 day, 3:23:29 time: 0.7847 data_time: 0.0540 memory: 9483 loss_text: 0.7824 loss_center: 2.7785 loss_reg_x: 0.8590 loss_reg_y: 1.0463 loss: 5.4661 2022/08/26 00:42:58 - mmengine - INFO - Epoch(train) [111][55/125] lr: 9.3371e-04 eta: 1 day, 3:23:29 time: 0.5478 data_time: 0.0243 memory: 9483 loss_text: 0.8071 loss_center: 2.7792 loss_reg_x: 0.8684 loss_reg_y: 1.0559 loss: 5.5106 2022/08/26 00:43:01 - mmengine - INFO - Epoch(train) [111][60/125] lr: 9.3371e-04 eta: 1 day, 3:23:19 time: 0.5368 data_time: 0.0183 memory: 9483 loss_text: 0.7621 loss_center: 2.7966 loss_reg_x: 0.9445 loss_reg_y: 1.0110 loss: 5.5143 2022/08/26 00:43:03 - mmengine - INFO - Epoch(train) [111][65/125] lr: 9.3371e-04 eta: 1 day, 3:23:19 time: 0.4790 data_time: 0.0175 memory: 9483 loss_text: 0.7392 loss_center: 2.8214 loss_reg_x: 0.9868 loss_reg_y: 1.1291 loss: 5.6765 2022/08/26 00:43:05 - mmengine - INFO - Epoch(train) [111][70/125] lr: 9.3371e-04 eta: 1 day, 3:23:01 time: 0.4692 data_time: 0.0157 memory: 9483 loss_text: 0.7488 loss_center: 2.8063 loss_reg_x: 1.1086 loss_reg_y: 1.1354 loss: 5.7991 2022/08/26 00:43:08 - mmengine - INFO - Epoch(train) [111][75/125] lr: 9.3371e-04 eta: 1 day, 3:23:01 time: 0.4899 data_time: 0.0160 memory: 9483 loss_text: 0.8294 loss_center: 2.8005 loss_reg_x: 1.0968 loss_reg_y: 0.9846 loss: 5.7113 2022/08/26 00:43:11 - mmengine - INFO - Epoch(train) [111][80/125] lr: 9.3371e-04 eta: 1 day, 3:22:54 time: 0.5526 data_time: 0.0145 memory: 9483 loss_text: 0.7467 loss_center: 2.8096 loss_reg_x: 0.9246 loss_reg_y: 0.9200 loss: 5.4010 2022/08/26 00:43:16 - mmengine - INFO - Epoch(train) [111][85/125] lr: 9.3371e-04 eta: 1 day, 3:22:54 time: 0.7761 data_time: 0.0616 memory: 9483 loss_text: 0.6645 loss_center: 2.7826 loss_reg_x: 0.9114 loss_reg_y: 0.8799 loss: 5.2383 2022/08/26 00:43:18 - mmengine - INFO - Epoch(train) [111][90/125] lr: 9.3371e-04 eta: 1 day, 3:23:07 time: 0.7200 data_time: 0.0628 memory: 9483 loss_text: 0.7340 loss_center: 2.7879 loss_reg_x: 1.0063 loss_reg_y: 0.9335 loss: 5.4617 2022/08/26 00:43:21 - mmengine - INFO - Epoch(train) [111][95/125] lr: 9.3371e-04 eta: 1 day, 3:23:07 time: 0.5018 data_time: 0.0154 memory: 9483 loss_text: 0.8284 loss_center: 2.8148 loss_reg_x: 1.0989 loss_reg_y: 1.0549 loss: 5.7970 2022/08/26 00:43:23 - mmengine - INFO - Epoch(train) [111][100/125] lr: 9.3371e-04 eta: 1 day, 3:22:53 time: 0.4982 data_time: 0.0130 memory: 9483 loss_text: 0.8089 loss_center: 2.8104 loss_reg_x: 1.1599 loss_reg_y: 1.1920 loss: 5.9712 2022/08/26 00:43:26 - mmengine - INFO - Epoch(train) [111][105/125] lr: 9.3371e-04 eta: 1 day, 3:22:53 time: 0.4955 data_time: 0.0138 memory: 9483 loss_text: 0.7896 loss_center: 2.8024 loss_reg_x: 1.0711 loss_reg_y: 1.1747 loss: 5.8376 2022/08/26 00:43:28 - mmengine - INFO - Epoch(train) [111][110/125] lr: 9.3371e-04 eta: 1 day, 3:22:39 time: 0.5032 data_time: 0.0137 memory: 9483 loss_text: 0.7527 loss_center: 2.7844 loss_reg_x: 0.9070 loss_reg_y: 0.9867 loss: 5.4308 2022/08/26 00:43:34 - mmengine - INFO - Epoch(train) [111][115/125] lr: 9.3371e-04 eta: 1 day, 3:22:39 time: 0.8787 data_time: 0.0406 memory: 9483 loss_text: 0.6747 loss_center: 2.7962 loss_reg_x: 0.8907 loss_reg_y: 0.9499 loss: 5.3115 2022/08/26 00:43:37 - mmengine - INFO - Epoch(train) [111][120/125] lr: 9.3371e-04 eta: 1 day, 3:23:13 time: 0.8864 data_time: 0.0407 memory: 9483 loss_text: 0.7222 loss_center: 2.7990 loss_reg_x: 0.9809 loss_reg_y: 0.9791 loss: 5.4812 2022/08/26 00:43:40 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:43:40 - mmengine - INFO - Epoch(train) [111][125/125] lr: 9.3371e-04 eta: 1 day, 3:23:13 time: 0.5133 data_time: 0.0127 memory: 9483 loss_text: 0.7221 loss_center: 2.7981 loss_reg_x: 0.9543 loss_reg_y: 0.9381 loss: 5.4126 2022/08/26 00:43:43 - mmengine - INFO - Epoch(train) [112][5/125] lr: 9.3311e-04 eta: 1 day, 3:23:13 time: 0.6322 data_time: 0.1390 memory: 9483 loss_text: 0.7648 loss_center: 2.8201 loss_reg_x: 0.9893 loss_reg_y: 1.0250 loss: 5.5992 2022/08/26 00:43:46 - mmengine - INFO - Epoch(train) [112][10/125] lr: 9.3311e-04 eta: 1 day, 3:22:38 time: 0.6368 data_time: 0.1378 memory: 9483 loss_text: 0.7795 loss_center: 2.8200 loss_reg_x: 1.0172 loss_reg_y: 1.0093 loss: 5.6260 2022/08/26 00:43:49 - mmengine - INFO - Epoch(train) [112][15/125] lr: 9.3311e-04 eta: 1 day, 3:22:38 time: 0.5259 data_time: 0.0117 memory: 9483 loss_text: 0.6966 loss_center: 2.7911 loss_reg_x: 0.9375 loss_reg_y: 0.9799 loss: 5.4051 2022/08/26 00:43:53 - mmengine - INFO - Epoch(train) [112][20/125] lr: 9.3311e-04 eta: 1 day, 3:22:44 time: 0.6593 data_time: 0.0339 memory: 9483 loss_text: 0.6638 loss_center: 2.7876 loss_reg_x: 0.9517 loss_reg_y: 1.1452 loss: 5.5483 2022/08/26 00:43:55 - mmengine - INFO - Epoch(train) [112][25/125] lr: 9.3311e-04 eta: 1 day, 3:22:44 time: 0.6204 data_time: 0.0355 memory: 9483 loss_text: 0.7093 loss_center: 2.8026 loss_reg_x: 0.9393 loss_reg_y: 0.9375 loss: 5.3888 2022/08/26 00:43:57 - mmengine - INFO - Epoch(train) [112][30/125] lr: 9.3311e-04 eta: 1 day, 3:22:27 time: 0.4817 data_time: 0.0155 memory: 9483 loss_text: 0.7531 loss_center: 2.7990 loss_reg_x: 1.0139 loss_reg_y: 0.9510 loss: 5.5169 2022/08/26 00:44:00 - mmengine - INFO - Epoch(train) [112][35/125] lr: 9.3311e-04 eta: 1 day, 3:22:27 time: 0.4974 data_time: 0.0139 memory: 9483 loss_text: 0.8098 loss_center: 2.8177 loss_reg_x: 1.1683 loss_reg_y: 1.2463 loss: 6.0421 2022/08/26 00:44:03 - mmengine - INFO - Epoch(train) [112][40/125] lr: 9.3311e-04 eta: 1 day, 3:22:15 time: 0.5170 data_time: 0.0174 memory: 9483 loss_text: 0.8455 loss_center: 2.8245 loss_reg_x: 1.3311 loss_reg_y: 1.3353 loss: 6.3363 2022/08/26 00:44:05 - mmengine - INFO - Epoch(train) [112][45/125] lr: 9.3311e-04 eta: 1 day, 3:22:15 time: 0.5291 data_time: 0.0185 memory: 9483 loss_text: 0.8133 loss_center: 2.8186 loss_reg_x: 1.3589 loss_reg_y: 1.2913 loss: 6.2820 2022/08/26 00:44:11 - mmengine - INFO - Epoch(train) [112][50/125] lr: 9.3311e-04 eta: 1 day, 3:22:44 time: 0.8406 data_time: 0.0167 memory: 9483 loss_text: 0.7610 loss_center: 2.7932 loss_reg_x: 1.0338 loss_reg_y: 1.0116 loss: 5.5996 2022/08/26 00:44:14 - mmengine - INFO - Epoch(train) [112][55/125] lr: 9.3311e-04 eta: 1 day, 3:22:44 time: 0.8385 data_time: 0.0155 memory: 9483 loss_text: 0.7113 loss_center: 2.7708 loss_reg_x: 0.8288 loss_reg_y: 0.8212 loss: 5.1321 2022/08/26 00:44:16 - mmengine - INFO - Epoch(train) [112][60/125] lr: 9.3311e-04 eta: 1 day, 3:22:31 time: 0.5148 data_time: 0.0140 memory: 9483 loss_text: 0.7157 loss_center: 2.7855 loss_reg_x: 1.0296 loss_reg_y: 0.8309 loss: 5.3617 2022/08/26 00:44:18 - mmengine - INFO - Epoch(train) [112][65/125] lr: 9.3311e-04 eta: 1 day, 3:22:31 time: 0.4919 data_time: 0.0165 memory: 9483 loss_text: 0.8188 loss_center: 2.7936 loss_reg_x: 1.1577 loss_reg_y: 0.8888 loss: 5.6588 2022/08/26 00:44:22 - mmengine - INFO - Epoch(train) [112][70/125] lr: 9.3311e-04 eta: 1 day, 3:22:23 time: 0.5484 data_time: 0.0190 memory: 9483 loss_text: 0.8052 loss_center: 2.7968 loss_reg_x: 1.0527 loss_reg_y: 1.0322 loss: 5.6868 2022/08/26 00:44:24 - mmengine - INFO - Epoch(train) [112][75/125] lr: 9.3311e-04 eta: 1 day, 3:22:23 time: 0.6007 data_time: 0.0228 memory: 9483 loss_text: 0.7125 loss_center: 2.7994 loss_reg_x: 0.9666 loss_reg_y: 0.9675 loss: 5.4459 2022/08/26 00:44:27 - mmengine - INFO - Epoch(train) [112][80/125] lr: 9.3311e-04 eta: 1 day, 3:22:15 time: 0.5448 data_time: 0.0198 memory: 9483 loss_text: 0.7150 loss_center: 2.8052 loss_reg_x: 0.8580 loss_reg_y: 0.8349 loss: 5.2130 2022/08/26 00:44:29 - mmengine - INFO - Epoch(train) [112][85/125] lr: 9.3311e-04 eta: 1 day, 3:22:15 time: 0.5044 data_time: 0.0143 memory: 9483 loss_text: 0.7665 loss_center: 2.8023 loss_reg_x: 1.1732 loss_reg_y: 1.1285 loss: 5.8706 2022/08/26 00:44:32 - mmengine - INFO - Epoch(train) [112][90/125] lr: 9.3311e-04 eta: 1 day, 3:22:03 time: 0.5214 data_time: 0.0144 memory: 9483 loss_text: 0.7902 loss_center: 2.7952 loss_reg_x: 1.3194 loss_reg_y: 1.2138 loss: 6.1187 2022/08/26 00:44:35 - mmengine - INFO - Epoch(train) [112][95/125] lr: 9.3311e-04 eta: 1 day, 3:22:03 time: 0.5402 data_time: 0.0147 memory: 9483 loss_text: 0.7746 loss_center: 2.8046 loss_reg_x: 1.0662 loss_reg_y: 0.9948 loss: 5.6403 2022/08/26 00:44:38 - mmengine - INFO - Epoch(train) [112][100/125] lr: 9.3311e-04 eta: 1 day, 3:21:55 time: 0.5438 data_time: 0.0150 memory: 9483 loss_text: 0.8225 loss_center: 2.7840 loss_reg_x: 1.0964 loss_reg_y: 0.9512 loss: 5.6543 2022/08/26 00:44:40 - mmengine - INFO - Epoch(train) [112][105/125] lr: 9.3311e-04 eta: 1 day, 3:21:55 time: 0.5091 data_time: 0.0151 memory: 9483 loss_text: 0.8441 loss_center: 2.7742 loss_reg_x: 1.0388 loss_reg_y: 0.9329 loss: 5.5899 2022/08/26 00:44:44 - mmengine - INFO - Epoch(train) [112][110/125] lr: 9.3311e-04 eta: 1 day, 3:22:02 time: 0.6747 data_time: 0.0143 memory: 9483 loss_text: 0.8163 loss_center: 2.7351 loss_reg_x: 1.0941 loss_reg_y: 0.8674 loss: 5.5128 2022/08/26 00:44:47 - mmengine - INFO - Epoch(train) [112][115/125] lr: 9.3311e-04 eta: 1 day, 3:22:02 time: 0.6907 data_time: 0.0134 memory: 9483 loss_text: 0.7721 loss_center: 2.7225 loss_reg_x: 1.0901 loss_reg_y: 0.8818 loss: 5.4666 2022/08/26 00:44:49 - mmengine - INFO - Epoch(train) [112][120/125] lr: 9.3311e-04 eta: 1 day, 3:21:48 time: 0.4990 data_time: 0.0139 memory: 9483 loss_text: 0.7881 loss_center: 2.7172 loss_reg_x: 1.0148 loss_reg_y: 0.9968 loss: 5.5169 2022/08/26 00:44:52 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:44:52 - mmengine - INFO - Epoch(train) [112][125/125] lr: 9.3311e-04 eta: 1 day, 3:21:48 time: 0.4985 data_time: 0.0161 memory: 9483 loss_text: 0.8076 loss_center: 2.7212 loss_reg_x: 1.0548 loss_reg_y: 1.0388 loss: 5.6224 2022/08/26 00:44:55 - mmengine - INFO - Epoch(train) [113][5/125] lr: 9.3250e-04 eta: 1 day, 3:21:48 time: 0.5662 data_time: 0.0890 memory: 9483 loss_text: 0.7278 loss_center: 2.7834 loss_reg_x: 1.0422 loss_reg_y: 0.9704 loss: 5.5237 2022/08/26 00:44:58 - mmengine - INFO - Epoch(train) [113][10/125] lr: 9.3250e-04 eta: 1 day, 3:21:05 time: 0.5699 data_time: 0.0847 memory: 9483 loss_text: 0.7156 loss_center: 2.7936 loss_reg_x: 0.9317 loss_reg_y: 0.8502 loss: 5.2912 2022/08/26 00:45:00 - mmengine - INFO - Epoch(train) [113][15/125] lr: 9.3250e-04 eta: 1 day, 3:21:05 time: 0.5159 data_time: 0.0116 memory: 9483 loss_text: 0.7839 loss_center: 2.8066 loss_reg_x: 1.1661 loss_reg_y: 0.9294 loss: 5.6860 2022/08/26 00:45:04 - mmengine - INFO - Epoch(train) [113][20/125] lr: 9.3250e-04 eta: 1 day, 3:21:09 time: 0.6468 data_time: 0.0388 memory: 9483 loss_text: 0.7357 loss_center: 2.8128 loss_reg_x: 1.2236 loss_reg_y: 0.9971 loss: 5.7692 2022/08/26 00:45:07 - mmengine - INFO - Epoch(train) [113][25/125] lr: 9.3250e-04 eta: 1 day, 3:21:09 time: 0.6444 data_time: 0.0387 memory: 9483 loss_text: 0.7833 loss_center: 2.7851 loss_reg_x: 1.3156 loss_reg_y: 1.0130 loss: 5.8970 2022/08/26 00:45:09 - mmengine - INFO - Epoch(train) [113][30/125] lr: 9.3250e-04 eta: 1 day, 3:20:55 time: 0.5019 data_time: 0.0147 memory: 9483 loss_text: 0.8631 loss_center: 2.7833 loss_reg_x: 1.4459 loss_reg_y: 1.0526 loss: 6.1449 2022/08/26 00:45:12 - mmengine - INFO - Epoch(train) [113][35/125] lr: 9.3250e-04 eta: 1 day, 3:20:55 time: 0.5031 data_time: 0.0155 memory: 9483 loss_text: 0.8585 loss_center: 2.8116 loss_reg_x: 1.2740 loss_reg_y: 1.1028 loss: 6.0470 2022/08/26 00:45:14 - mmengine - INFO - Epoch(train) [113][40/125] lr: 9.3250e-04 eta: 1 day, 3:20:42 time: 0.5095 data_time: 0.0157 memory: 9483 loss_text: 0.8963 loss_center: 2.8102 loss_reg_x: 1.3448 loss_reg_y: 1.1643 loss: 6.2157 2022/08/26 00:45:17 - mmengine - INFO - Epoch(train) [113][45/125] lr: 9.3250e-04 eta: 1 day, 3:20:42 time: 0.4940 data_time: 0.0145 memory: 9483 loss_text: 0.8187 loss_center: 2.7996 loss_reg_x: 1.1137 loss_reg_y: 0.9860 loss: 5.7180 2022/08/26 00:45:19 - mmengine - INFO - Epoch(train) [113][50/125] lr: 9.3250e-04 eta: 1 day, 3:20:30 time: 0.5157 data_time: 0.0129 memory: 9483 loss_text: 0.7859 loss_center: 2.8105 loss_reg_x: 1.0309 loss_reg_y: 0.9016 loss: 5.5289 2022/08/26 00:45:22 - mmengine - INFO - Epoch(train) [113][55/125] lr: 9.3250e-04 eta: 1 day, 3:20:30 time: 0.5434 data_time: 0.0187 memory: 9483 loss_text: 0.7739 loss_center: 2.7606 loss_reg_x: 1.1069 loss_reg_y: 0.9516 loss: 5.5930 2022/08/26 00:45:25 - mmengine - INFO - Epoch(train) [113][60/125] lr: 9.3250e-04 eta: 1 day, 3:20:19 time: 0.5236 data_time: 0.0200 memory: 9483 loss_text: 0.7285 loss_center: 2.7605 loss_reg_x: 1.1481 loss_reg_y: 1.0414 loss: 5.6785 2022/08/26 00:45:27 - mmengine - INFO - Epoch(train) [113][65/125] lr: 9.3250e-04 eta: 1 day, 3:20:19 time: 0.5208 data_time: 0.0142 memory: 9483 loss_text: 0.7454 loss_center: 2.8254 loss_reg_x: 1.1169 loss_reg_y: 1.0543 loss: 5.7420 2022/08/26 00:45:30 - mmengine - INFO - Epoch(train) [113][70/125] lr: 9.3250e-04 eta: 1 day, 3:20:07 time: 0.5144 data_time: 0.0139 memory: 9483 loss_text: 0.7431 loss_center: 2.8120 loss_reg_x: 1.1190 loss_reg_y: 1.1159 loss: 5.7900 2022/08/26 00:45:32 - mmengine - INFO - Epoch(train) [113][75/125] lr: 9.3250e-04 eta: 1 day, 3:20:07 time: 0.4956 data_time: 0.0169 memory: 9483 loss_text: 0.7435 loss_center: 2.7634 loss_reg_x: 1.1049 loss_reg_y: 1.1043 loss: 5.7160 2022/08/26 00:45:35 - mmengine - INFO - Epoch(train) [113][80/125] lr: 9.3250e-04 eta: 1 day, 3:19:54 time: 0.5133 data_time: 0.0171 memory: 9483 loss_text: 0.7303 loss_center: 2.7581 loss_reg_x: 0.9509 loss_reg_y: 0.9930 loss: 5.4323 2022/08/26 00:45:37 - mmengine - INFO - Epoch(train) [113][85/125] lr: 9.3250e-04 eta: 1 day, 3:19:54 time: 0.5015 data_time: 0.0146 memory: 9483 loss_text: 0.8371 loss_center: 2.8082 loss_reg_x: 1.2256 loss_reg_y: 1.1728 loss: 6.0436 2022/08/26 00:45:40 - mmengine - INFO - Epoch(train) [113][90/125] lr: 9.3250e-04 eta: 1 day, 3:19:38 time: 0.4814 data_time: 0.0130 memory: 9483 loss_text: 0.8882 loss_center: 2.8294 loss_reg_x: 1.2147 loss_reg_y: 1.1630 loss: 6.0953 2022/08/26 00:45:45 - mmengine - INFO - Epoch(train) [113][95/125] lr: 9.3250e-04 eta: 1 day, 3:19:38 time: 0.7631 data_time: 0.0390 memory: 9483 loss_text: 0.7319 loss_center: 2.7591 loss_reg_x: 0.8848 loss_reg_y: 0.9123 loss: 5.2880 2022/08/26 00:45:48 - mmengine - INFO - Epoch(train) [113][100/125] lr: 9.3250e-04 eta: 1 day, 3:19:59 time: 0.7869 data_time: 0.0439 memory: 9483 loss_text: 0.6769 loss_center: 2.6951 loss_reg_x: 0.8971 loss_reg_y: 0.8959 loss: 5.1650 2022/08/26 00:45:50 - mmengine - INFO - Epoch(train) [113][105/125] lr: 9.3250e-04 eta: 1 day, 3:19:59 time: 0.5377 data_time: 0.0174 memory: 9483 loss_text: 0.7133 loss_center: 2.7347 loss_reg_x: 0.9241 loss_reg_y: 0.9007 loss: 5.2727 2022/08/26 00:45:53 - mmengine - INFO - Epoch(train) [113][110/125] lr: 9.3250e-04 eta: 1 day, 3:19:53 time: 0.5613 data_time: 0.0126 memory: 9483 loss_text: 0.7612 loss_center: 2.7767 loss_reg_x: 0.8985 loss_reg_y: 0.8580 loss: 5.2944 2022/08/26 00:45:56 - mmengine - INFO - Epoch(train) [113][115/125] lr: 9.3250e-04 eta: 1 day, 3:19:53 time: 0.5611 data_time: 0.0130 memory: 9483 loss_text: 0.7715 loss_center: 2.7858 loss_reg_x: 0.9737 loss_reg_y: 0.9538 loss: 5.4849 2022/08/26 00:45:59 - mmengine - INFO - Epoch(train) [113][120/125] lr: 9.3250e-04 eta: 1 day, 3:19:43 time: 0.5339 data_time: 0.0167 memory: 9483 loss_text: 0.7422 loss_center: 2.7878 loss_reg_x: 1.0902 loss_reg_y: 1.0788 loss: 5.6990 2022/08/26 00:46:01 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:46:01 - mmengine - INFO - Epoch(train) [113][125/125] lr: 9.3250e-04 eta: 1 day, 3:19:43 time: 0.5001 data_time: 0.0160 memory: 9483 loss_text: 0.7131 loss_center: 2.7897 loss_reg_x: 1.0822 loss_reg_y: 1.1312 loss: 5.7162 2022/08/26 00:46:04 - mmengine - INFO - Epoch(train) [114][5/125] lr: 9.3190e-04 eta: 1 day, 3:19:43 time: 0.5767 data_time: 0.0943 memory: 9483 loss_text: 0.6887 loss_center: 2.7969 loss_reg_x: 0.8830 loss_reg_y: 0.9599 loss: 5.3285 2022/08/26 00:46:07 - mmengine - INFO - Epoch(train) [114][10/125] lr: 9.3190e-04 eta: 1 day, 3:19:04 time: 0.6022 data_time: 0.0939 memory: 9483 loss_text: 0.6898 loss_center: 2.7953 loss_reg_x: 0.8186 loss_reg_y: 0.7602 loss: 5.0639 2022/08/26 00:46:09 - mmengine - INFO - Epoch(train) [114][15/125] lr: 9.3190e-04 eta: 1 day, 3:19:04 time: 0.5104 data_time: 0.0140 memory: 9483 loss_text: 0.7345 loss_center: 2.8027 loss_reg_x: 1.0179 loss_reg_y: 1.0073 loss: 5.5625 2022/08/26 00:46:13 - mmengine - INFO - Epoch(train) [114][20/125] lr: 9.3190e-04 eta: 1 day, 3:18:59 time: 0.5674 data_time: 0.0198 memory: 9483 loss_text: 0.7344 loss_center: 2.7583 loss_reg_x: 1.1418 loss_reg_y: 1.1673 loss: 5.8017 2022/08/26 00:46:15 - mmengine - INFO - Epoch(train) [114][25/125] lr: 9.3190e-04 eta: 1 day, 3:18:59 time: 0.5743 data_time: 0.0178 memory: 9483 loss_text: 0.7099 loss_center: 2.7447 loss_reg_x: 1.0419 loss_reg_y: 1.0353 loss: 5.5319 2022/08/26 00:46:18 - mmengine - INFO - Epoch(train) [114][30/125] lr: 9.3190e-04 eta: 1 day, 3:18:47 time: 0.5165 data_time: 0.0124 memory: 9483 loss_text: 0.7202 loss_center: 2.7965 loss_reg_x: 0.9367 loss_reg_y: 0.9869 loss: 5.4403 2022/08/26 00:46:20 - mmengine - INFO - Epoch(train) [114][35/125] lr: 9.3190e-04 eta: 1 day, 3:18:47 time: 0.5227 data_time: 0.0144 memory: 9483 loss_text: 0.6662 loss_center: 2.8120 loss_reg_x: 0.9339 loss_reg_y: 0.9670 loss: 5.3791 2022/08/26 00:46:25 - mmengine - INFO - Epoch(train) [114][40/125] lr: 9.3190e-04 eta: 1 day, 3:18:56 time: 0.6903 data_time: 0.0335 memory: 9483 loss_text: 0.6556 loss_center: 2.8121 loss_reg_x: 0.9406 loss_reg_y: 0.9727 loss: 5.3810 2022/08/26 00:46:27 - mmengine - INFO - Epoch(train) [114][45/125] lr: 9.3190e-04 eta: 1 day, 3:18:56 time: 0.6657 data_time: 0.0323 memory: 9483 loss_text: 0.7411 loss_center: 2.8048 loss_reg_x: 1.0365 loss_reg_y: 1.0619 loss: 5.6443 2022/08/26 00:46:30 - mmengine - INFO - Epoch(train) [114][50/125] lr: 9.3190e-04 eta: 1 day, 3:18:40 time: 0.4851 data_time: 0.0133 memory: 9483 loss_text: 0.7501 loss_center: 2.8030 loss_reg_x: 1.0468 loss_reg_y: 0.9804 loss: 5.5803 2022/08/26 00:46:32 - mmengine - INFO - Epoch(train) [114][55/125] lr: 9.3190e-04 eta: 1 day, 3:18:40 time: 0.5280 data_time: 0.0168 memory: 9483 loss_text: 0.7029 loss_center: 2.8047 loss_reg_x: 1.0119 loss_reg_y: 0.9838 loss: 5.5032 2022/08/26 00:46:35 - mmengine - INFO - Epoch(train) [114][60/125] lr: 9.3190e-04 eta: 1 day, 3:18:30 time: 0.5287 data_time: 0.0186 memory: 9483 loss_text: 0.6884 loss_center: 2.8063 loss_reg_x: 0.9807 loss_reg_y: 1.0453 loss: 5.5207 2022/08/26 00:46:37 - mmengine - INFO - Epoch(train) [114][65/125] lr: 9.3190e-04 eta: 1 day, 3:18:30 time: 0.5010 data_time: 0.0145 memory: 9483 loss_text: 0.7285 loss_center: 2.7922 loss_reg_x: 1.0054 loss_reg_y: 1.0191 loss: 5.5452 2022/08/26 00:46:40 - mmengine - INFO - Epoch(train) [114][70/125] lr: 9.3190e-04 eta: 1 day, 3:18:15 time: 0.4935 data_time: 0.0134 memory: 9483 loss_text: 0.7338 loss_center: 2.7863 loss_reg_x: 1.1230 loss_reg_y: 1.1913 loss: 5.8345 2022/08/26 00:46:43 - mmengine - INFO - Epoch(train) [114][75/125] lr: 9.3190e-04 eta: 1 day, 3:18:15 time: 0.5247 data_time: 0.0262 memory: 9483 loss_text: 0.6696 loss_center: 2.7867 loss_reg_x: 0.9953 loss_reg_y: 1.0473 loss: 5.4989 2022/08/26 00:46:45 - mmengine - INFO - Epoch(train) [114][80/125] lr: 9.3190e-04 eta: 1 day, 3:18:06 time: 0.5365 data_time: 0.0263 memory: 9483 loss_text: 0.6512 loss_center: 2.7954 loss_reg_x: 0.8388 loss_reg_y: 0.8905 loss: 5.1758 2022/08/26 00:46:48 - mmengine - INFO - Epoch(train) [114][85/125] lr: 9.3190e-04 eta: 1 day, 3:18:06 time: 0.5207 data_time: 0.0127 memory: 9483 loss_text: 0.6231 loss_center: 2.8009 loss_reg_x: 0.8307 loss_reg_y: 0.9352 loss: 5.1898 2022/08/26 00:46:50 - mmengine - INFO - Epoch(train) [114][90/125] lr: 9.3190e-04 eta: 1 day, 3:17:53 time: 0.5065 data_time: 0.0123 memory: 9483 loss_text: 0.7380 loss_center: 2.8011 loss_reg_x: 0.9585 loss_reg_y: 0.9908 loss: 5.4884 2022/08/26 00:46:55 - mmengine - INFO - Epoch(train) [114][95/125] lr: 9.3190e-04 eta: 1 day, 3:17:53 time: 0.7275 data_time: 0.0280 memory: 9483 loss_text: 0.7911 loss_center: 2.8094 loss_reg_x: 1.0146 loss_reg_y: 0.9567 loss: 5.5719 2022/08/26 00:46:58 - mmengine - INFO - Epoch(train) [114][100/125] lr: 9.3190e-04 eta: 1 day, 3:18:08 time: 0.7383 data_time: 0.0282 memory: 9483 loss_text: 0.6764 loss_center: 2.7922 loss_reg_x: 0.8563 loss_reg_y: 0.7869 loss: 5.1119 2022/08/26 00:47:00 - mmengine - INFO - Epoch(train) [114][105/125] lr: 9.3190e-04 eta: 1 day, 3:18:08 time: 0.5041 data_time: 0.0126 memory: 9483 loss_text: 0.6750 loss_center: 2.7722 loss_reg_x: 0.9140 loss_reg_y: 0.8714 loss: 5.2327 2022/08/26 00:47:04 - mmengine - INFO - Epoch(train) [114][110/125] lr: 9.3190e-04 eta: 1 day, 3:18:11 time: 0.6353 data_time: 0.0147 memory: 9483 loss_text: 0.6511 loss_center: 2.7756 loss_reg_x: 0.9121 loss_reg_y: 0.8801 loss: 5.2189 2022/08/26 00:47:07 - mmengine - INFO - Epoch(train) [114][115/125] lr: 9.3190e-04 eta: 1 day, 3:18:11 time: 0.7071 data_time: 0.0207 memory: 9483 loss_text: 0.6780 loss_center: 2.7947 loss_reg_x: 0.8852 loss_reg_y: 0.8508 loss: 5.2087 2022/08/26 00:47:10 - mmengine - INFO - Epoch(train) [114][120/125] lr: 9.3190e-04 eta: 1 day, 3:18:03 time: 0.5533 data_time: 0.0192 memory: 9483 loss_text: 0.7957 loss_center: 2.8145 loss_reg_x: 0.9720 loss_reg_y: 0.9799 loss: 5.5621 2022/08/26 00:47:12 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:47:12 - mmengine - INFO - Epoch(train) [114][125/125] lr: 9.3190e-04 eta: 1 day, 3:18:03 time: 0.5224 data_time: 0.0331 memory: 9483 loss_text: 0.8330 loss_center: 2.8042 loss_reg_x: 0.9237 loss_reg_y: 0.9373 loss: 5.4981 2022/08/26 00:47:16 - mmengine - INFO - Epoch(train) [115][5/125] lr: 9.3129e-04 eta: 1 day, 3:18:03 time: 0.6442 data_time: 0.1246 memory: 9483 loss_text: 0.8176 loss_center: 2.8038 loss_reg_x: 1.0483 loss_reg_y: 0.9514 loss: 5.6211 2022/08/26 00:47:19 - mmengine - INFO - Epoch(train) [115][10/125] lr: 9.3129e-04 eta: 1 day, 3:17:27 time: 0.6269 data_time: 0.1053 memory: 9483 loss_text: 0.7895 loss_center: 2.8162 loss_reg_x: 1.1525 loss_reg_y: 0.9467 loss: 5.7049 2022/08/26 00:47:23 - mmengine - INFO - Epoch(train) [115][15/125] lr: 9.3129e-04 eta: 1 day, 3:17:27 time: 0.7009 data_time: 0.0134 memory: 9483 loss_text: 0.7810 loss_center: 2.8000 loss_reg_x: 1.0867 loss_reg_y: 0.9940 loss: 5.6616 2022/08/26 00:47:26 - mmengine - INFO - Epoch(train) [115][20/125] lr: 9.3129e-04 eta: 1 day, 3:17:36 time: 0.6834 data_time: 0.0163 memory: 9483 loss_text: 0.8188 loss_center: 2.7935 loss_reg_x: 0.9659 loss_reg_y: 0.9431 loss: 5.5214 2022/08/26 00:47:28 - mmengine - INFO - Epoch(train) [115][25/125] lr: 9.3129e-04 eta: 1 day, 3:17:36 time: 0.5069 data_time: 0.0157 memory: 9483 loss_text: 0.7751 loss_center: 2.8034 loss_reg_x: 0.9462 loss_reg_y: 0.8182 loss: 5.3429 2022/08/26 00:47:31 - mmengine - INFO - Epoch(train) [115][30/125] lr: 9.3129e-04 eta: 1 day, 3:17:23 time: 0.5072 data_time: 0.0144 memory: 9483 loss_text: 0.6770 loss_center: 2.8007 loss_reg_x: 0.9016 loss_reg_y: 0.8588 loss: 5.2380 2022/08/26 00:47:34 - mmengine - INFO - Epoch(train) [115][35/125] lr: 9.3129e-04 eta: 1 day, 3:17:23 time: 0.5475 data_time: 0.0148 memory: 9483 loss_text: 0.6711 loss_center: 2.7808 loss_reg_x: 0.7761 loss_reg_y: 0.7946 loss: 5.0226 2022/08/26 00:47:36 - mmengine - INFO - Epoch(train) [115][40/125] lr: 9.3129e-04 eta: 1 day, 3:17:14 time: 0.5434 data_time: 0.0167 memory: 9483 loss_text: 0.7865 loss_center: 2.7830 loss_reg_x: 0.9365 loss_reg_y: 0.9042 loss: 5.4102 2022/08/26 00:47:39 - mmengine - INFO - Epoch(train) [115][45/125] lr: 9.3129e-04 eta: 1 day, 3:17:14 time: 0.4986 data_time: 0.0164 memory: 9483 loss_text: 0.8132 loss_center: 2.8051 loss_reg_x: 1.0011 loss_reg_y: 1.0306 loss: 5.6500 2022/08/26 00:47:41 - mmengine - INFO - Epoch(train) [115][50/125] lr: 9.3129e-04 eta: 1 day, 3:17:02 time: 0.5151 data_time: 0.0149 memory: 9483 loss_text: 0.7711 loss_center: 2.8220 loss_reg_x: 1.0284 loss_reg_y: 1.1218 loss: 5.7433 2022/08/26 00:47:46 - mmengine - INFO - Epoch(train) [115][55/125] lr: 9.3129e-04 eta: 1 day, 3:17:02 time: 0.7761 data_time: 0.0604 memory: 9483 loss_text: 0.8566 loss_center: 2.8160 loss_reg_x: 1.3573 loss_reg_y: 1.3387 loss: 6.3686 2022/08/26 00:47:49 - mmengine - INFO - Epoch(train) [115][60/125] lr: 9.3129e-04 eta: 1 day, 3:17:19 time: 0.7520 data_time: 0.0579 memory: 9483 loss_text: 0.8518 loss_center: 2.8086 loss_reg_x: 1.3859 loss_reg_y: 1.3396 loss: 6.3859 2022/08/26 00:47:51 - mmengine - INFO - Epoch(train) [115][65/125] lr: 9.3129e-04 eta: 1 day, 3:17:19 time: 0.5210 data_time: 0.0160 memory: 9483 loss_text: 0.7578 loss_center: 2.8154 loss_reg_x: 1.0946 loss_reg_y: 1.0484 loss: 5.7161 2022/08/26 00:47:54 - mmengine - INFO - Epoch(train) [115][70/125] lr: 9.3129e-04 eta: 1 day, 3:17:09 time: 0.5284 data_time: 0.0160 memory: 9483 loss_text: 0.6406 loss_center: 2.7982 loss_reg_x: 0.9302 loss_reg_y: 0.7854 loss: 5.1545 2022/08/26 00:47:57 - mmengine - INFO - Epoch(train) [115][75/125] lr: 9.3129e-04 eta: 1 day, 3:17:09 time: 0.5193 data_time: 0.0129 memory: 9483 loss_text: 0.6617 loss_center: 2.7909 loss_reg_x: 1.0455 loss_reg_y: 0.9430 loss: 5.4412 2022/08/26 00:47:59 - mmengine - INFO - Epoch(train) [115][80/125] lr: 9.3129e-04 eta: 1 day, 3:17:00 time: 0.5416 data_time: 0.0134 memory: 9483 loss_text: 0.8374 loss_center: 2.8056 loss_reg_x: 1.2212 loss_reg_y: 1.1359 loss: 6.0002 2022/08/26 00:48:03 - mmengine - INFO - Epoch(train) [115][85/125] lr: 9.3129e-04 eta: 1 day, 3:17:00 time: 0.6540 data_time: 0.0367 memory: 9483 loss_text: 0.8496 loss_center: 2.7995 loss_reg_x: 1.1885 loss_reg_y: 1.0575 loss: 5.8951 2022/08/26 00:48:06 - mmengine - INFO - Epoch(train) [115][90/125] lr: 9.3129e-04 eta: 1 day, 3:17:04 time: 0.6451 data_time: 0.0389 memory: 9483 loss_text: 0.7262 loss_center: 2.7957 loss_reg_x: 1.0306 loss_reg_y: 0.9397 loss: 5.4922 2022/08/26 00:48:08 - mmengine - INFO - Epoch(train) [115][95/125] lr: 9.3129e-04 eta: 1 day, 3:17:04 time: 0.5130 data_time: 0.0181 memory: 9483 loss_text: 0.6978 loss_center: 2.7892 loss_reg_x: 0.9723 loss_reg_y: 0.9331 loss: 5.3924 2022/08/26 00:48:11 - mmengine - INFO - Epoch(train) [115][100/125] lr: 9.3129e-04 eta: 1 day, 3:16:50 time: 0.4985 data_time: 0.0153 memory: 9483 loss_text: 0.7930 loss_center: 2.7967 loss_reg_x: 1.0720 loss_reg_y: 1.0283 loss: 5.6900 2022/08/26 00:48:16 - mmengine - INFO - Epoch(train) [115][105/125] lr: 9.3129e-04 eta: 1 day, 3:16:50 time: 0.7489 data_time: 0.0150 memory: 9483 loss_text: 0.8238 loss_center: 2.8003 loss_reg_x: 1.0477 loss_reg_y: 1.0683 loss: 5.7401 2022/08/26 00:48:18 - mmengine - INFO - Epoch(train) [115][110/125] lr: 9.3129e-04 eta: 1 day, 3:17:06 time: 0.7462 data_time: 0.0163 memory: 9483 loss_text: 0.7372 loss_center: 2.7883 loss_reg_x: 0.8671 loss_reg_y: 0.9787 loss: 5.3714 2022/08/26 00:48:21 - mmengine - INFO - Epoch(train) [115][115/125] lr: 9.3129e-04 eta: 1 day, 3:17:06 time: 0.4935 data_time: 0.0145 memory: 9483 loss_text: 0.7668 loss_center: 2.7943 loss_reg_x: 0.9039 loss_reg_y: 0.9266 loss: 5.3915 2022/08/26 00:48:24 - mmengine - INFO - Epoch(train) [115][120/125] lr: 9.3129e-04 eta: 1 day, 3:16:58 time: 0.5533 data_time: 0.0139 memory: 9483 loss_text: 0.8473 loss_center: 2.8043 loss_reg_x: 1.0259 loss_reg_y: 1.0036 loss: 5.6811 2022/08/26 00:48:26 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:48:26 - mmengine - INFO - Epoch(train) [115][125/125] lr: 9.3129e-04 eta: 1 day, 3:16:58 time: 0.5457 data_time: 0.0151 memory: 9483 loss_text: 0.7612 loss_center: 2.8073 loss_reg_x: 1.0404 loss_reg_y: 1.0448 loss: 5.6537 2022/08/26 00:48:30 - mmengine - INFO - Epoch(train) [116][5/125] lr: 9.3069e-04 eta: 1 day, 3:16:58 time: 0.5610 data_time: 0.0969 memory: 9483 loss_text: 0.6677 loss_center: 2.7812 loss_reg_x: 0.9644 loss_reg_y: 1.0028 loss: 5.4161 2022/08/26 00:48:35 - mmengine - INFO - Epoch(train) [116][10/125] lr: 9.3069e-04 eta: 1 day, 3:16:46 time: 0.8198 data_time: 0.1196 memory: 9483 loss_text: 0.6731 loss_center: 2.7633 loss_reg_x: 0.9503 loss_reg_y: 0.9204 loss: 5.3070 2022/08/26 00:48:37 - mmengine - INFO - Epoch(train) [116][15/125] lr: 9.3069e-04 eta: 1 day, 3:16:46 time: 0.7634 data_time: 0.0529 memory: 9483 loss_text: 0.6868 loss_center: 2.7873 loss_reg_x: 1.0871 loss_reg_y: 1.0823 loss: 5.6435 2022/08/26 00:48:40 - mmengine - INFO - Epoch(train) [116][20/125] lr: 9.3069e-04 eta: 1 day, 3:16:34 time: 0.5121 data_time: 0.0279 memory: 9483 loss_text: 0.7053 loss_center: 2.8102 loss_reg_x: 1.0444 loss_reg_y: 1.0951 loss: 5.6550 2022/08/26 00:48:42 - mmengine - INFO - Epoch(train) [116][25/125] lr: 9.3069e-04 eta: 1 day, 3:16:34 time: 0.5169 data_time: 0.0140 memory: 9483 loss_text: 0.7052 loss_center: 2.8021 loss_reg_x: 0.8362 loss_reg_y: 0.8619 loss: 5.2054 2022/08/26 00:48:45 - mmengine - INFO - Epoch(train) [116][30/125] lr: 9.3069e-04 eta: 1 day, 3:16:24 time: 0.5362 data_time: 0.0156 memory: 9483 loss_text: 0.7013 loss_center: 2.8117 loss_reg_x: 0.8702 loss_reg_y: 0.9625 loss: 5.3456 2022/08/26 00:48:47 - mmengine - INFO - Epoch(train) [116][35/125] lr: 9.3069e-04 eta: 1 day, 3:16:24 time: 0.5088 data_time: 0.0159 memory: 9483 loss_text: 0.7105 loss_center: 2.8270 loss_reg_x: 0.9907 loss_reg_y: 1.0671 loss: 5.5952 2022/08/26 00:48:50 - mmengine - INFO - Epoch(train) [116][40/125] lr: 9.3069e-04 eta: 1 day, 3:16:09 time: 0.4857 data_time: 0.0152 memory: 9483 loss_text: 0.7169 loss_center: 2.8140 loss_reg_x: 0.9503 loss_reg_y: 1.0235 loss: 5.5048 2022/08/26 00:48:55 - mmengine - INFO - Epoch(train) [116][45/125] lr: 9.3069e-04 eta: 1 day, 3:16:09 time: 0.7266 data_time: 0.0136 memory: 9483 loss_text: 0.7435 loss_center: 2.7851 loss_reg_x: 0.9628 loss_reg_y: 1.0057 loss: 5.4971 2022/08/26 00:48:57 - mmengine - INFO - Epoch(train) [116][50/125] lr: 9.3069e-04 eta: 1 day, 3:16:21 time: 0.7174 data_time: 0.0134 memory: 9483 loss_text: 0.7499 loss_center: 2.7974 loss_reg_x: 1.0108 loss_reg_y: 1.0332 loss: 5.5913 2022/08/26 00:49:00 - mmengine - INFO - Epoch(train) [116][55/125] lr: 9.3069e-04 eta: 1 day, 3:16:21 time: 0.4991 data_time: 0.0156 memory: 9483 loss_text: 0.7276 loss_center: 2.8137 loss_reg_x: 0.9796 loss_reg_y: 1.0275 loss: 5.5484 2022/08/26 00:49:02 - mmengine - INFO - Epoch(train) [116][60/125] lr: 9.3069e-04 eta: 1 day, 3:16:12 time: 0.5357 data_time: 0.0200 memory: 9483 loss_text: 0.8165 loss_center: 2.8089 loss_reg_x: 1.0988 loss_reg_y: 1.0260 loss: 5.7502 2022/08/26 00:49:05 - mmengine - INFO - Epoch(train) [116][65/125] lr: 9.3069e-04 eta: 1 day, 3:16:12 time: 0.5433 data_time: 0.0183 memory: 9483 loss_text: 0.8473 loss_center: 2.8054 loss_reg_x: 1.1449 loss_reg_y: 1.0528 loss: 5.8504 2022/08/26 00:49:08 - mmengine - INFO - Epoch(train) [116][70/125] lr: 9.3069e-04 eta: 1 day, 3:16:01 time: 0.5269 data_time: 0.0134 memory: 9483 loss_text: 0.7397 loss_center: 2.7858 loss_reg_x: 1.0450 loss_reg_y: 0.9316 loss: 5.5022 2022/08/26 00:49:10 - mmengine - INFO - Epoch(train) [116][75/125] lr: 9.3069e-04 eta: 1 day, 3:16:01 time: 0.5003 data_time: 0.0168 memory: 9483 loss_text: 0.6595 loss_center: 2.7829 loss_reg_x: 0.8761 loss_reg_y: 0.7292 loss: 5.0478 2022/08/26 00:49:13 - mmengine - INFO - Epoch(train) [116][80/125] lr: 9.3069e-04 eta: 1 day, 3:15:53 time: 0.5421 data_time: 0.0202 memory: 9483 loss_text: 0.6424 loss_center: 2.7822 loss_reg_x: 0.8115 loss_reg_y: 0.8475 loss: 5.0837 2022/08/26 00:49:16 - mmengine - INFO - Epoch(train) [116][85/125] lr: 9.3069e-04 eta: 1 day, 3:15:53 time: 0.5527 data_time: 0.0184 memory: 9483 loss_text: 0.6673 loss_center: 2.7781 loss_reg_x: 0.9047 loss_reg_y: 0.9512 loss: 5.3013 2022/08/26 00:49:18 - mmengine - INFO - Epoch(train) [116][90/125] lr: 9.3069e-04 eta: 1 day, 3:15:40 time: 0.5104 data_time: 0.0148 memory: 9483 loss_text: 0.6451 loss_center: 2.7689 loss_reg_x: 0.7912 loss_reg_y: 0.7498 loss: 4.9551 2022/08/26 00:49:21 - mmengine - INFO - Epoch(train) [116][95/125] lr: 9.3069e-04 eta: 1 day, 3:15:40 time: 0.4979 data_time: 0.0149 memory: 9483 loss_text: 0.6890 loss_center: 2.7827 loss_reg_x: 0.7789 loss_reg_y: 0.7606 loss: 5.0111 2022/08/26 00:49:26 - mmengine - INFO - Epoch(train) [116][100/125] lr: 9.3069e-04 eta: 1 day, 3:16:06 time: 0.8314 data_time: 0.0375 memory: 9483 loss_text: 0.7079 loss_center: 2.7886 loss_reg_x: 0.8510 loss_reg_y: 0.8697 loss: 5.2173 2022/08/26 00:49:29 - mmengine - INFO - Epoch(train) [116][105/125] lr: 9.3069e-04 eta: 1 day, 3:16:06 time: 0.8206 data_time: 0.0377 memory: 9483 loss_text: 0.6866 loss_center: 2.7713 loss_reg_x: 0.8943 loss_reg_y: 0.8653 loss: 5.2175 2022/08/26 00:49:31 - mmengine - INFO - Epoch(train) [116][110/125] lr: 9.3069e-04 eta: 1 day, 3:15:50 time: 0.4841 data_time: 0.0185 memory: 9483 loss_text: 0.8369 loss_center: 2.7776 loss_reg_x: 1.0480 loss_reg_y: 0.9855 loss: 5.6480 2022/08/26 00:49:34 - mmengine - INFO - Epoch(train) [116][115/125] lr: 9.3069e-04 eta: 1 day, 3:15:50 time: 0.5160 data_time: 0.0199 memory: 9483 loss_text: 0.9384 loss_center: 2.8032 loss_reg_x: 1.0994 loss_reg_y: 1.1573 loss: 5.9983 2022/08/26 00:49:36 - mmengine - INFO - Epoch(train) [116][120/125] lr: 9.3069e-04 eta: 1 day, 3:15:37 time: 0.5041 data_time: 0.0167 memory: 9483 loss_text: 0.7856 loss_center: 2.8055 loss_reg_x: 0.9138 loss_reg_y: 0.9862 loss: 5.4910 2022/08/26 00:49:39 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:49:39 - mmengine - INFO - Epoch(train) [116][125/125] lr: 9.3069e-04 eta: 1 day, 3:15:37 time: 0.4817 data_time: 0.0121 memory: 9483 loss_text: 0.6830 loss_center: 2.7917 loss_reg_x: 0.9046 loss_reg_y: 0.8426 loss: 5.2219 2022/08/26 00:49:43 - mmengine - INFO - Epoch(train) [117][5/125] lr: 9.3008e-04 eta: 1 day, 3:15:37 time: 0.6302 data_time: 0.0596 memory: 9483 loss_text: 0.6888 loss_center: 2.7945 loss_reg_x: 0.8973 loss_reg_y: 0.7897 loss: 5.1702 2022/08/26 00:49:45 - mmengine - INFO - Epoch(train) [117][10/125] lr: 9.3008e-04 eta: 1 day, 3:15:03 time: 0.6364 data_time: 0.0651 memory: 9483 loss_text: 0.7476 loss_center: 2.8019 loss_reg_x: 1.0369 loss_reg_y: 0.9215 loss: 5.5080 2022/08/26 00:49:48 - mmengine - INFO - Epoch(train) [117][15/125] lr: 9.3008e-04 eta: 1 day, 3:15:03 time: 0.5082 data_time: 0.0171 memory: 9483 loss_text: 0.7477 loss_center: 2.8082 loss_reg_x: 1.2554 loss_reg_y: 1.1736 loss: 5.9848 2022/08/26 00:49:50 - mmengine - INFO - Epoch(train) [117][20/125] lr: 9.3008e-04 eta: 1 day, 3:14:50 time: 0.5030 data_time: 0.0125 memory: 9483 loss_text: 0.6974 loss_center: 2.7829 loss_reg_x: 1.0625 loss_reg_y: 1.0065 loss: 5.5494 2022/08/26 00:49:55 - mmengine - INFO - Epoch(train) [117][25/125] lr: 9.3008e-04 eta: 1 day, 3:14:50 time: 0.7192 data_time: 0.0332 memory: 9483 loss_text: 0.7408 loss_center: 2.7837 loss_reg_x: 1.0332 loss_reg_y: 0.9477 loss: 5.5055 2022/08/26 00:49:58 - mmengine - INFO - Epoch(train) [117][30/125] lr: 9.3008e-04 eta: 1 day, 3:15:04 time: 0.7335 data_time: 0.0390 memory: 9483 loss_text: 0.7407 loss_center: 2.8072 loss_reg_x: 1.1334 loss_reg_y: 0.9459 loss: 5.6273 2022/08/26 00:50:00 - mmengine - INFO - Epoch(train) [117][35/125] lr: 9.3008e-04 eta: 1 day, 3:15:04 time: 0.5123 data_time: 0.0187 memory: 9483 loss_text: 0.7733 loss_center: 2.7997 loss_reg_x: 1.0732 loss_reg_y: 0.8089 loss: 5.4551 2022/08/26 00:50:03 - mmengine - INFO - Epoch(train) [117][40/125] lr: 9.3008e-04 eta: 1 day, 3:14:53 time: 0.5266 data_time: 0.0133 memory: 9483 loss_text: 0.8794 loss_center: 2.7920 loss_reg_x: 1.0005 loss_reg_y: 0.9413 loss: 5.6133 2022/08/26 00:50:05 - mmengine - INFO - Epoch(train) [117][45/125] lr: 9.3008e-04 eta: 1 day, 3:14:53 time: 0.5173 data_time: 0.0141 memory: 9483 loss_text: 0.8761 loss_center: 2.8005 loss_reg_x: 1.1574 loss_reg_y: 1.3878 loss: 6.2217 2022/08/26 00:50:09 - mmengine - INFO - Epoch(train) [117][50/125] lr: 9.3008e-04 eta: 1 day, 3:14:49 time: 0.5761 data_time: 0.0195 memory: 9483 loss_text: 0.7947 loss_center: 2.7931 loss_reg_x: 1.1840 loss_reg_y: 1.3442 loss: 6.1159 2022/08/26 00:50:12 - mmengine - INFO - Epoch(train) [117][55/125] lr: 9.3008e-04 eta: 1 day, 3:14:49 time: 0.6486 data_time: 0.0201 memory: 9483 loss_text: 0.8476 loss_center: 2.7730 loss_reg_x: 1.1823 loss_reg_y: 1.1194 loss: 5.9222 2022/08/26 00:50:14 - mmengine - INFO - Epoch(train) [117][60/125] lr: 9.3008e-04 eta: 1 day, 3:14:45 time: 0.5782 data_time: 0.0140 memory: 9483 loss_text: 0.8942 loss_center: 2.7946 loss_reg_x: 1.3260 loss_reg_y: 1.2455 loss: 6.2604 2022/08/26 00:50:17 - mmengine - INFO - Epoch(train) [117][65/125] lr: 9.3008e-04 eta: 1 day, 3:14:45 time: 0.5250 data_time: 0.0140 memory: 9483 loss_text: 0.8890 loss_center: 2.8037 loss_reg_x: 1.2970 loss_reg_y: 1.2281 loss: 6.2177 2022/08/26 00:50:20 - mmengine - INFO - Epoch(train) [117][70/125] lr: 9.3008e-04 eta: 1 day, 3:14:33 time: 0.5158 data_time: 0.0189 memory: 9483 loss_text: 0.8337 loss_center: 2.8012 loss_reg_x: 1.2502 loss_reg_y: 1.2432 loss: 6.1284 2022/08/26 00:50:24 - mmengine - INFO - Epoch(train) [117][75/125] lr: 9.3008e-04 eta: 1 day, 3:14:33 time: 0.6542 data_time: 0.0207 memory: 9483 loss_text: 0.7156 loss_center: 2.8179 loss_reg_x: 1.1425 loss_reg_y: 1.1538 loss: 5.8297 2022/08/26 00:50:26 - mmengine - INFO - Epoch(train) [117][80/125] lr: 9.3008e-04 eta: 1 day, 3:14:39 time: 0.6699 data_time: 0.0209 memory: 9483 loss_text: 0.7011 loss_center: 2.8115 loss_reg_x: 1.1516 loss_reg_y: 1.2274 loss: 5.8916 2022/08/26 00:50:29 - mmengine - INFO - Epoch(train) [117][85/125] lr: 9.3008e-04 eta: 1 day, 3:14:39 time: 0.5216 data_time: 0.0191 memory: 9483 loss_text: 0.7329 loss_center: 2.8013 loss_reg_x: 1.0535 loss_reg_y: 1.1802 loss: 5.7679 2022/08/26 00:50:32 - mmengine - INFO - Epoch(train) [117][90/125] lr: 9.3008e-04 eta: 1 day, 3:14:31 time: 0.5464 data_time: 0.0188 memory: 9483 loss_text: 0.7275 loss_center: 2.7896 loss_reg_x: 0.9289 loss_reg_y: 0.8461 loss: 5.2922 2022/08/26 00:50:34 - mmengine - INFO - Epoch(train) [117][95/125] lr: 9.3008e-04 eta: 1 day, 3:14:31 time: 0.5399 data_time: 0.0181 memory: 9483 loss_text: 0.8028 loss_center: 2.7927 loss_reg_x: 1.1761 loss_reg_y: 0.9434 loss: 5.7151 2022/08/26 00:50:37 - mmengine - INFO - Epoch(train) [117][100/125] lr: 9.3008e-04 eta: 1 day, 3:14:17 time: 0.4989 data_time: 0.0146 memory: 9483 loss_text: 0.7950 loss_center: 2.8009 loss_reg_x: 1.2453 loss_reg_y: 1.0784 loss: 5.9197 2022/08/26 00:50:39 - mmengine - INFO - Epoch(train) [117][105/125] lr: 9.3008e-04 eta: 1 day, 3:14:17 time: 0.4863 data_time: 0.0156 memory: 9483 loss_text: 0.7027 loss_center: 2.8018 loss_reg_x: 1.0176 loss_reg_y: 1.0235 loss: 5.5456 2022/08/26 00:50:42 - mmengine - INFO - Epoch(train) [117][110/125] lr: 9.3008e-04 eta: 1 day, 3:14:00 time: 0.4704 data_time: 0.0176 memory: 9483 loss_text: 0.8120 loss_center: 2.8150 loss_reg_x: 0.9361 loss_reg_y: 0.9687 loss: 5.5318 2022/08/26 00:50:44 - mmengine - INFO - Epoch(train) [117][115/125] lr: 9.3008e-04 eta: 1 day, 3:14:00 time: 0.5335 data_time: 0.0399 memory: 9483 loss_text: 0.8253 loss_center: 2.7796 loss_reg_x: 0.8817 loss_reg_y: 0.8231 loss: 5.3096 2022/08/26 00:50:47 - mmengine - INFO - Epoch(train) [117][120/125] lr: 9.3008e-04 eta: 1 day, 3:13:53 time: 0.5558 data_time: 0.0365 memory: 9483 loss_text: 0.8263 loss_center: 2.7714 loss_reg_x: 1.0737 loss_reg_y: 0.9337 loss: 5.6051 2022/08/26 00:50:50 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:50:50 - mmengine - INFO - Epoch(train) [117][125/125] lr: 9.3008e-04 eta: 1 day, 3:13:53 time: 0.5287 data_time: 0.0140 memory: 9483 loss_text: 0.8773 loss_center: 2.7901 loss_reg_x: 1.0315 loss_reg_y: 0.9973 loss: 5.6962 2022/08/26 00:50:54 - mmengine - INFO - Epoch(train) [118][5/125] lr: 9.2948e-04 eta: 1 day, 3:13:53 time: 0.6500 data_time: 0.0643 memory: 9483 loss_text: 0.8063 loss_center: 2.7854 loss_reg_x: 1.0073 loss_reg_y: 0.9965 loss: 5.5955 2022/08/26 00:50:56 - mmengine - INFO - Epoch(train) [118][10/125] lr: 9.2948e-04 eta: 1 day, 3:13:23 time: 0.6658 data_time: 0.0655 memory: 9483 loss_text: 0.7441 loss_center: 2.7961 loss_reg_x: 1.0889 loss_reg_y: 1.0109 loss: 5.6400 2022/08/26 00:50:59 - mmengine - INFO - Epoch(train) [118][15/125] lr: 9.2948e-04 eta: 1 day, 3:13:23 time: 0.5359 data_time: 0.0146 memory: 9483 loss_text: 0.7185 loss_center: 2.7983 loss_reg_x: 0.9524 loss_reg_y: 0.8841 loss: 5.3533 2022/08/26 00:51:02 - mmengine - INFO - Epoch(train) [118][20/125] lr: 9.2948e-04 eta: 1 day, 3:13:17 time: 0.5636 data_time: 0.0121 memory: 9483 loss_text: 0.6980 loss_center: 2.7999 loss_reg_x: 1.0654 loss_reg_y: 0.9911 loss: 5.5545 2022/08/26 00:51:05 - mmengine - INFO - Epoch(train) [118][25/125] lr: 9.2948e-04 eta: 1 day, 3:13:17 time: 0.6080 data_time: 0.0159 memory: 9483 loss_text: 0.6716 loss_center: 2.7681 loss_reg_x: 0.9731 loss_reg_y: 1.0358 loss: 5.4487 2022/08/26 00:51:08 - mmengine - INFO - Epoch(train) [118][30/125] lr: 9.2948e-04 eta: 1 day, 3:13:10 time: 0.5585 data_time: 0.0158 memory: 9483 loss_text: 0.7739 loss_center: 2.7635 loss_reg_x: 0.8855 loss_reg_y: 0.9158 loss: 5.3386 2022/08/26 00:51:10 - mmengine - INFO - Epoch(train) [118][35/125] lr: 9.2948e-04 eta: 1 day, 3:13:10 time: 0.5126 data_time: 0.0154 memory: 9483 loss_text: 0.8249 loss_center: 2.7940 loss_reg_x: 1.0092 loss_reg_y: 0.9192 loss: 5.5473 2022/08/26 00:51:13 - mmengine - INFO - Epoch(train) [118][40/125] lr: 9.2948e-04 eta: 1 day, 3:12:59 time: 0.5211 data_time: 0.0183 memory: 9483 loss_text: 0.7885 loss_center: 2.7890 loss_reg_x: 1.3030 loss_reg_y: 1.1835 loss: 6.0639 2022/08/26 00:51:15 - mmengine - INFO - Epoch(train) [118][45/125] lr: 9.2948e-04 eta: 1 day, 3:12:59 time: 0.5170 data_time: 0.0213 memory: 9483 loss_text: 0.8281 loss_center: 2.8047 loss_reg_x: 1.3687 loss_reg_y: 1.1756 loss: 6.1772 2022/08/26 00:51:18 - mmengine - INFO - Epoch(train) [118][50/125] lr: 9.2948e-04 eta: 1 day, 3:12:44 time: 0.4863 data_time: 0.0175 memory: 9483 loss_text: 0.8773 loss_center: 2.8238 loss_reg_x: 1.2906 loss_reg_y: 1.2130 loss: 6.2047 2022/08/26 00:51:20 - mmengine - INFO - Epoch(train) [118][55/125] lr: 9.2948e-04 eta: 1 day, 3:12:44 time: 0.4940 data_time: 0.0141 memory: 9483 loss_text: 0.8614 loss_center: 2.8265 loss_reg_x: 1.1910 loss_reg_y: 1.2683 loss: 6.1473 2022/08/26 00:51:26 - mmengine - INFO - Epoch(train) [118][60/125] lr: 9.2948e-04 eta: 1 day, 3:13:15 time: 0.8817 data_time: 0.0508 memory: 9483 loss_text: 0.8266 loss_center: 2.8234 loss_reg_x: 1.1878 loss_reg_y: 1.1121 loss: 5.9498 2022/08/26 00:51:29 - mmengine - INFO - Epoch(train) [118][65/125] lr: 9.2948e-04 eta: 1 day, 3:13:15 time: 0.8561 data_time: 0.0502 memory: 9483 loss_text: 0.9653 loss_center: 2.8275 loss_reg_x: 1.1498 loss_reg_y: 1.1323 loss: 6.0749 2022/08/26 00:51:31 - mmengine - INFO - Epoch(train) [118][70/125] lr: 9.2948e-04 eta: 1 day, 3:13:01 time: 0.4938 data_time: 0.0140 memory: 9483 loss_text: 0.8921 loss_center: 2.8171 loss_reg_x: 0.9745 loss_reg_y: 1.2668 loss: 5.9505 2022/08/26 00:51:34 - mmengine - INFO - Epoch(train) [118][75/125] lr: 9.2948e-04 eta: 1 day, 3:13:01 time: 0.5170 data_time: 0.0129 memory: 9483 loss_text: 0.7229 loss_center: 2.8008 loss_reg_x: 0.9912 loss_reg_y: 1.2043 loss: 5.7192 2022/08/26 00:51:36 - mmengine - INFO - Epoch(train) [118][80/125] lr: 9.2948e-04 eta: 1 day, 3:12:46 time: 0.4909 data_time: 0.0131 memory: 9483 loss_text: 0.7568 loss_center: 2.8110 loss_reg_x: 0.9474 loss_reg_y: 1.0003 loss: 5.5156 2022/08/26 00:51:39 - mmengine - INFO - Epoch(train) [118][85/125] lr: 9.2948e-04 eta: 1 day, 3:12:46 time: 0.4881 data_time: 0.0120 memory: 9483 loss_text: 0.7938 loss_center: 2.8032 loss_reg_x: 1.0564 loss_reg_y: 0.9399 loss: 5.5933 2022/08/26 00:51:42 - mmengine - INFO - Epoch(train) [118][90/125] lr: 9.2948e-04 eta: 1 day, 3:12:42 time: 0.5791 data_time: 0.0139 memory: 9483 loss_text: 0.7938 loss_center: 2.7845 loss_reg_x: 1.2119 loss_reg_y: 0.9241 loss: 5.7143 2022/08/26 00:51:46 - mmengine - INFO - Epoch(train) [118][95/125] lr: 9.2948e-04 eta: 1 day, 3:12:42 time: 0.7012 data_time: 0.0400 memory: 9483 loss_text: 0.7786 loss_center: 2.7881 loss_reg_x: 1.1684 loss_reg_y: 0.9941 loss: 5.7293 2022/08/26 00:51:48 - mmengine - INFO - Epoch(train) [118][100/125] lr: 9.2948e-04 eta: 1 day, 3:12:43 time: 0.6255 data_time: 0.0395 memory: 9483 loss_text: 0.8066 loss_center: 2.7784 loss_reg_x: 0.9794 loss_reg_y: 0.9160 loss: 5.4803 2022/08/26 00:51:51 - mmengine - INFO - Epoch(train) [118][105/125] lr: 9.2948e-04 eta: 1 day, 3:12:43 time: 0.4911 data_time: 0.0153 memory: 9483 loss_text: 0.7786 loss_center: 2.7739 loss_reg_x: 1.0585 loss_reg_y: 0.8326 loss: 5.4436 2022/08/26 00:51:53 - mmengine - INFO - Epoch(train) [118][110/125] lr: 9.2948e-04 eta: 1 day, 3:12:30 time: 0.4970 data_time: 0.0185 memory: 9483 loss_text: 0.8525 loss_center: 2.7976 loss_reg_x: 1.0541 loss_reg_y: 0.8469 loss: 5.5512 2022/08/26 00:51:56 - mmengine - INFO - Epoch(train) [118][115/125] lr: 9.2948e-04 eta: 1 day, 3:12:30 time: 0.5249 data_time: 0.0180 memory: 9483 loss_text: 0.8226 loss_center: 2.7879 loss_reg_x: 0.8377 loss_reg_y: 0.7955 loss: 5.2437 2022/08/26 00:51:58 - mmengine - INFO - Epoch(train) [118][120/125] lr: 9.2948e-04 eta: 1 day, 3:12:17 time: 0.5116 data_time: 0.0145 memory: 9483 loss_text: 0.7185 loss_center: 2.7872 loss_reg_x: 0.9619 loss_reg_y: 0.9180 loss: 5.3856 2022/08/26 00:52:01 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:52:01 - mmengine - INFO - Epoch(train) [118][125/125] lr: 9.2948e-04 eta: 1 day, 3:12:17 time: 0.5154 data_time: 0.0161 memory: 9483 loss_text: 0.7592 loss_center: 2.7934 loss_reg_x: 0.9102 loss_reg_y: 0.8802 loss: 5.3430 2022/08/26 00:52:06 - mmengine - INFO - Epoch(train) [119][5/125] lr: 9.2887e-04 eta: 1 day, 3:12:17 time: 0.7915 data_time: 0.2266 memory: 9483 loss_text: 0.8111 loss_center: 2.7993 loss_reg_x: 0.8552 loss_reg_y: 1.0034 loss: 5.4690 2022/08/26 00:52:09 - mmengine - INFO - Epoch(train) [119][10/125] lr: 9.2887e-04 eta: 1 day, 3:11:58 time: 0.7541 data_time: 0.2234 memory: 9483 loss_text: 0.7902 loss_center: 2.8026 loss_reg_x: 0.9843 loss_reg_y: 1.1000 loss: 5.6771 2022/08/26 00:52:11 - mmengine - INFO - Epoch(train) [119][15/125] lr: 9.2887e-04 eta: 1 day, 3:11:58 time: 0.4875 data_time: 0.0143 memory: 9483 loss_text: 0.7798 loss_center: 2.8023 loss_reg_x: 1.2024 loss_reg_y: 1.4257 loss: 6.2102 2022/08/26 00:52:14 - mmengine - INFO - Epoch(train) [119][20/125] lr: 9.2887e-04 eta: 1 day, 3:11:43 time: 0.4943 data_time: 0.0194 memory: 9483 loss_text: 0.8179 loss_center: 2.8144 loss_reg_x: 1.2982 loss_reg_y: 1.6614 loss: 6.5918 2022/08/26 00:52:16 - mmengine - INFO - Epoch(train) [119][25/125] lr: 9.2887e-04 eta: 1 day, 3:11:43 time: 0.5170 data_time: 0.0181 memory: 9483 loss_text: 0.7706 loss_center: 2.8047 loss_reg_x: 1.0622 loss_reg_y: 1.1825 loss: 5.8200 2022/08/26 00:52:19 - mmengine - INFO - Epoch(train) [119][30/125] lr: 9.2887e-04 eta: 1 day, 3:11:33 time: 0.5250 data_time: 0.0135 memory: 9483 loss_text: 0.7170 loss_center: 2.7908 loss_reg_x: 0.9239 loss_reg_y: 1.0042 loss: 5.4359 2022/08/26 00:52:22 - mmengine - INFO - Epoch(train) [119][35/125] lr: 9.2887e-04 eta: 1 day, 3:11:33 time: 0.5673 data_time: 0.0154 memory: 9483 loss_text: 0.7178 loss_center: 2.8006 loss_reg_x: 0.9189 loss_reg_y: 0.9090 loss: 5.3463 2022/08/26 00:52:27 - mmengine - INFO - Epoch(train) [119][40/125] lr: 9.2887e-04 eta: 1 day, 3:11:51 time: 0.7691 data_time: 0.0593 memory: 9483 loss_text: 0.7568 loss_center: 2.7990 loss_reg_x: 0.9443 loss_reg_y: 0.8913 loss: 5.3915 2022/08/26 00:52:29 - mmengine - INFO - Epoch(train) [119][45/125] lr: 9.2887e-04 eta: 1 day, 3:11:51 time: 0.6942 data_time: 0.0576 memory: 9483 loss_text: 0.7528 loss_center: 2.7929 loss_reg_x: 0.8984 loss_reg_y: 0.8714 loss: 5.3156 2022/08/26 00:52:32 - mmengine - INFO - Epoch(train) [119][50/125] lr: 9.2887e-04 eta: 1 day, 3:11:38 time: 0.5014 data_time: 0.0157 memory: 9483 loss_text: 0.7664 loss_center: 2.8063 loss_reg_x: 0.8891 loss_reg_y: 0.8499 loss: 5.3118 2022/08/26 00:52:34 - mmengine - INFO - Epoch(train) [119][55/125] lr: 9.2887e-04 eta: 1 day, 3:11:38 time: 0.4941 data_time: 0.0148 memory: 9483 loss_text: 0.7925 loss_center: 2.8097 loss_reg_x: 0.9325 loss_reg_y: 0.9206 loss: 5.4554 2022/08/26 00:52:37 - mmengine - INFO - Epoch(train) [119][60/125] lr: 9.2887e-04 eta: 1 day, 3:11:23 time: 0.4879 data_time: 0.0151 memory: 9483 loss_text: 0.7327 loss_center: 2.8080 loss_reg_x: 0.9663 loss_reg_y: 1.0747 loss: 5.5817 2022/08/26 00:52:39 - mmengine - INFO - Epoch(train) [119][65/125] lr: 9.2887e-04 eta: 1 day, 3:11:23 time: 0.5290 data_time: 0.0148 memory: 9483 loss_text: 0.7538 loss_center: 2.7933 loss_reg_x: 1.0927 loss_reg_y: 1.2098 loss: 5.8495 2022/08/26 00:52:45 - mmengine - INFO - Epoch(train) [119][70/125] lr: 9.2887e-04 eta: 1 day, 3:11:44 time: 0.7987 data_time: 0.0140 memory: 9483 loss_text: 0.7757 loss_center: 2.7868 loss_reg_x: 1.1879 loss_reg_y: 1.1881 loss: 5.9385 2022/08/26 00:52:47 - mmengine - INFO - Epoch(train) [119][75/125] lr: 9.2887e-04 eta: 1 day, 3:11:44 time: 0.7725 data_time: 0.0206 memory: 9483 loss_text: 0.7838 loss_center: 2.7940 loss_reg_x: 1.2863 loss_reg_y: 1.1932 loss: 6.0572 2022/08/26 00:52:50 - mmengine - INFO - Epoch(train) [119][80/125] lr: 9.2887e-04 eta: 1 day, 3:11:32 time: 0.5099 data_time: 0.0199 memory: 9483 loss_text: 0.7887 loss_center: 2.7920 loss_reg_x: 1.1954 loss_reg_y: 1.0978 loss: 5.8739 2022/08/26 00:52:52 - mmengine - INFO - Epoch(train) [119][85/125] lr: 9.2887e-04 eta: 1 day, 3:11:32 time: 0.5230 data_time: 0.0157 memory: 9483 loss_text: 0.6819 loss_center: 2.7816 loss_reg_x: 0.8680 loss_reg_y: 0.8348 loss: 5.1663 2022/08/26 00:52:55 - mmengine - INFO - Epoch(train) [119][90/125] lr: 9.2887e-04 eta: 1 day, 3:11:21 time: 0.5201 data_time: 0.0148 memory: 9483 loss_text: 0.7262 loss_center: 2.7960 loss_reg_x: 0.8947 loss_reg_y: 0.8620 loss: 5.2788 2022/08/26 00:52:57 - mmengine - INFO - Epoch(train) [119][95/125] lr: 9.2887e-04 eta: 1 day, 3:11:21 time: 0.4999 data_time: 0.0160 memory: 9483 loss_text: 0.7788 loss_center: 2.8077 loss_reg_x: 1.0988 loss_reg_y: 0.9935 loss: 5.6787 2022/08/26 00:53:00 - mmengine - INFO - Epoch(train) [119][100/125] lr: 9.2887e-04 eta: 1 day, 3:11:05 time: 0.4859 data_time: 0.0164 memory: 9483 loss_text: 0.6821 loss_center: 2.8155 loss_reg_x: 1.1000 loss_reg_y: 1.0435 loss: 5.6412 2022/08/26 00:53:05 - mmengine - INFO - Epoch(train) [119][105/125] lr: 9.2887e-04 eta: 1 day, 3:11:05 time: 0.7344 data_time: 0.0876 memory: 9483 loss_text: 0.6628 loss_center: 2.8053 loss_reg_x: 1.1161 loss_reg_y: 1.1385 loss: 5.7227 2022/08/26 00:53:07 - mmengine - INFO - Epoch(train) [119][110/125] lr: 9.2887e-04 eta: 1 day, 3:11:24 time: 0.7712 data_time: 0.0888 memory: 9483 loss_text: 0.7039 loss_center: 2.7705 loss_reg_x: 1.0540 loss_reg_y: 1.0727 loss: 5.6012 2022/08/26 00:53:10 - mmengine - INFO - Epoch(train) [119][115/125] lr: 9.2887e-04 eta: 1 day, 3:11:24 time: 0.5428 data_time: 0.0170 memory: 9483 loss_text: 0.7407 loss_center: 2.7821 loss_reg_x: 0.9262 loss_reg_y: 1.0582 loss: 5.5072 2022/08/26 00:53:13 - mmengine - INFO - Epoch(train) [119][120/125] lr: 9.2887e-04 eta: 1 day, 3:11:14 time: 0.5291 data_time: 0.0154 memory: 9483 loss_text: 0.7658 loss_center: 2.7927 loss_reg_x: 1.0509 loss_reg_y: 1.0657 loss: 5.6751 2022/08/26 00:53:15 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:53:15 - mmengine - INFO - Epoch(train) [119][125/125] lr: 9.2887e-04 eta: 1 day, 3:11:14 time: 0.5048 data_time: 0.0121 memory: 9483 loss_text: 0.7606 loss_center: 2.7776 loss_reg_x: 1.0444 loss_reg_y: 0.9093 loss: 5.4920 2022/08/26 00:53:18 - mmengine - INFO - Epoch(train) [120][5/125] lr: 9.2827e-04 eta: 1 day, 3:11:14 time: 0.5667 data_time: 0.0817 memory: 9483 loss_text: 0.6791 loss_center: 2.7827 loss_reg_x: 0.8182 loss_reg_y: 0.7969 loss: 5.0769 2022/08/26 00:53:21 - mmengine - INFO - Epoch(train) [120][10/125] lr: 9.2827e-04 eta: 1 day, 3:10:35 time: 0.5915 data_time: 0.0841 memory: 9483 loss_text: 0.6780 loss_center: 2.8058 loss_reg_x: 0.9208 loss_reg_y: 1.0537 loss: 5.4583 2022/08/26 00:53:26 - mmengine - INFO - Epoch(train) [120][15/125] lr: 9.2827e-04 eta: 1 day, 3:10:35 time: 0.7657 data_time: 0.0387 memory: 9483 loss_text: 0.8149 loss_center: 2.8193 loss_reg_x: 1.3916 loss_reg_y: 1.3863 loss: 6.4121 2022/08/26 00:53:28 - mmengine - INFO - Epoch(train) [120][20/125] lr: 9.2827e-04 eta: 1 day, 3:10:49 time: 0.7369 data_time: 0.0369 memory: 9483 loss_text: 0.7940 loss_center: 2.7979 loss_reg_x: 1.3301 loss_reg_y: 1.1355 loss: 6.0575 2022/08/26 00:53:31 - mmengine - INFO - Epoch(train) [120][25/125] lr: 9.2827e-04 eta: 1 day, 3:10:49 time: 0.4834 data_time: 0.0153 memory: 9483 loss_text: 0.7583 loss_center: 2.7958 loss_reg_x: 1.0577 loss_reg_y: 0.9617 loss: 5.5734 2022/08/26 00:53:33 - mmengine - INFO - Epoch(train) [120][30/125] lr: 9.2827e-04 eta: 1 day, 3:10:36 time: 0.5048 data_time: 0.0152 memory: 9483 loss_text: 0.8104 loss_center: 2.8127 loss_reg_x: 1.0374 loss_reg_y: 1.0167 loss: 5.6772 2022/08/26 00:53:36 - mmengine - INFO - Epoch(train) [120][35/125] lr: 9.2827e-04 eta: 1 day, 3:10:36 time: 0.5022 data_time: 0.0144 memory: 9483 loss_text: 0.8585 loss_center: 2.7896 loss_reg_x: 0.9171 loss_reg_y: 0.9561 loss: 5.5214 2022/08/26 00:53:38 - mmengine - INFO - Epoch(train) [120][40/125] lr: 9.2827e-04 eta: 1 day, 3:10:22 time: 0.4897 data_time: 0.0160 memory: 9483 loss_text: 0.8264 loss_center: 2.7911 loss_reg_x: 0.9201 loss_reg_y: 1.0497 loss: 5.5873 2022/08/26 00:53:41 - mmengine - INFO - Epoch(train) [120][45/125] lr: 9.2827e-04 eta: 1 day, 3:10:22 time: 0.4922 data_time: 0.0147 memory: 9483 loss_text: 0.7868 loss_center: 2.7854 loss_reg_x: 1.0475 loss_reg_y: 1.1481 loss: 5.7679 2022/08/26 00:53:46 - mmengine - INFO - Epoch(train) [120][50/125] lr: 9.2827e-04 eta: 1 day, 3:10:34 time: 0.7252 data_time: 0.0193 memory: 9483 loss_text: 0.7317 loss_center: 2.7663 loss_reg_x: 0.9143 loss_reg_y: 0.9808 loss: 5.3930 2022/08/26 00:53:48 - mmengine - INFO - Epoch(train) [120][55/125] lr: 9.2827e-04 eta: 1 day, 3:10:34 time: 0.7210 data_time: 0.0204 memory: 9483 loss_text: 0.6853 loss_center: 2.7863 loss_reg_x: 0.7454 loss_reg_y: 0.8206 loss: 5.0376 2022/08/26 00:53:51 - mmengine - INFO - Epoch(train) [120][60/125] lr: 9.2827e-04 eta: 1 day, 3:10:21 time: 0.4986 data_time: 0.0154 memory: 9483 loss_text: 0.7943 loss_center: 2.8023 loss_reg_x: 0.9739 loss_reg_y: 0.7905 loss: 5.3610 2022/08/26 00:53:53 - mmengine - INFO - Epoch(train) [120][65/125] lr: 9.2827e-04 eta: 1 day, 3:10:21 time: 0.5120 data_time: 0.0156 memory: 9483 loss_text: 0.7708 loss_center: 2.7943 loss_reg_x: 1.0269 loss_reg_y: 0.8066 loss: 5.3986 2022/08/26 00:53:56 - mmengine - INFO - Epoch(train) [120][70/125] lr: 9.2827e-04 eta: 1 day, 3:10:08 time: 0.5057 data_time: 0.0175 memory: 9483 loss_text: 0.7016 loss_center: 2.8117 loss_reg_x: 1.0805 loss_reg_y: 1.1806 loss: 5.7743 2022/08/26 00:53:58 - mmengine - INFO - Epoch(train) [120][75/125] lr: 9.2827e-04 eta: 1 day, 3:10:08 time: 0.4984 data_time: 0.0164 memory: 9483 loss_text: 0.7280 loss_center: 2.8088 loss_reg_x: 1.1405 loss_reg_y: 1.2940 loss: 5.9713 2022/08/26 00:54:01 - mmengine - INFO - Epoch(train) [120][80/125] lr: 9.2827e-04 eta: 1 day, 3:09:58 time: 0.5334 data_time: 0.0159 memory: 9483 loss_text: 0.7849 loss_center: 2.7963 loss_reg_x: 1.2299 loss_reg_y: 1.3052 loss: 6.1163 2022/08/26 00:54:05 - mmengine - INFO - Epoch(train) [120][85/125] lr: 9.2827e-04 eta: 1 day, 3:09:58 time: 0.6556 data_time: 0.0399 memory: 9483 loss_text: 0.8185 loss_center: 2.8171 loss_reg_x: 1.3440 loss_reg_y: 1.3570 loss: 6.3366 2022/08/26 00:54:07 - mmengine - INFO - Epoch(train) [120][90/125] lr: 9.2827e-04 eta: 1 day, 3:10:00 time: 0.6334 data_time: 0.0404 memory: 9483 loss_text: 0.7805 loss_center: 2.7891 loss_reg_x: 1.0764 loss_reg_y: 1.1096 loss: 5.7555 2022/08/26 00:54:10 - mmengine - INFO - Epoch(train) [120][95/125] lr: 9.2827e-04 eta: 1 day, 3:10:00 time: 0.5210 data_time: 0.0182 memory: 9483 loss_text: 0.7058 loss_center: 2.7700 loss_reg_x: 0.8439 loss_reg_y: 0.9209 loss: 5.2406 2022/08/26 00:54:12 - mmengine - INFO - Epoch(train) [120][100/125] lr: 9.2827e-04 eta: 1 day, 3:09:47 time: 0.5000 data_time: 0.0154 memory: 9483 loss_text: 0.6645 loss_center: 2.7914 loss_reg_x: 0.9098 loss_reg_y: 0.8968 loss: 5.2624 2022/08/26 00:54:15 - mmengine - INFO - Epoch(train) [120][105/125] lr: 9.2827e-04 eta: 1 day, 3:09:47 time: 0.5230 data_time: 0.0150 memory: 9483 loss_text: 0.6720 loss_center: 2.7827 loss_reg_x: 1.0089 loss_reg_y: 1.0008 loss: 5.4643 2022/08/26 00:54:18 - mmengine - INFO - Epoch(train) [120][110/125] lr: 9.2827e-04 eta: 1 day, 3:09:38 time: 0.5348 data_time: 0.0174 memory: 9483 loss_text: 0.6964 loss_center: 2.7824 loss_reg_x: 0.9155 loss_reg_y: 0.9571 loss: 5.3513 2022/08/26 00:54:20 - mmengine - INFO - Epoch(train) [120][115/125] lr: 9.2827e-04 eta: 1 day, 3:09:38 time: 0.4893 data_time: 0.0151 memory: 9483 loss_text: 0.7048 loss_center: 2.8005 loss_reg_x: 0.7920 loss_reg_y: 0.8569 loss: 5.1542 2022/08/26 00:54:23 - mmengine - INFO - Epoch(train) [120][120/125] lr: 9.2827e-04 eta: 1 day, 3:09:27 time: 0.5234 data_time: 0.0125 memory: 9483 loss_text: 0.7348 loss_center: 2.7874 loss_reg_x: 0.8851 loss_reg_y: 0.9080 loss: 5.3153 2022/08/26 00:54:25 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:54:25 - mmengine - INFO - Epoch(train) [120][125/125] lr: 9.2827e-04 eta: 1 day, 3:09:27 time: 0.5305 data_time: 0.0133 memory: 9483 loss_text: 0.7352 loss_center: 2.7806 loss_reg_x: 0.9675 loss_reg_y: 0.8437 loss: 5.3269 2022/08/26 00:54:25 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/26 00:54:35 - mmengine - INFO - Epoch(val) [120][5/500] eta: 1 day, 3:09:27 time: 0.2547 data_time: 0.0037 memory: 602 2022/08/26 00:54:36 - mmengine - INFO - Epoch(val) [120][10/500] eta: 0:02:25 time: 0.2960 data_time: 0.0043 memory: 602 2022/08/26 00:54:37 - mmengine - INFO - Epoch(val) [120][15/500] eta: 0:02:25 time: 0.1865 data_time: 0.0023 memory: 587 2022/08/26 00:54:38 - mmengine - INFO - Epoch(val) [120][20/500] eta: 0:01:18 time: 0.1643 data_time: 0.0032 memory: 602 2022/08/26 00:54:38 - mmengine - INFO - Epoch(val) [120][25/500] eta: 0:01:18 time: 0.1474 data_time: 0.0033 memory: 602 2022/08/26 00:54:39 - mmengine - INFO - Epoch(val) [120][30/500] eta: 0:01:02 time: 0.1322 data_time: 0.0018 memory: 602 2022/08/26 00:54:40 - mmengine - INFO - Epoch(val) [120][35/500] eta: 0:01:02 time: 0.1266 data_time: 0.0018 memory: 602 2022/08/26 00:54:40 - mmengine - INFO - Epoch(val) [120][40/500] eta: 0:00:55 time: 0.1207 data_time: 0.0017 memory: 602 2022/08/26 00:54:41 - mmengine - INFO - Epoch(val) [120][45/500] eta: 0:00:55 time: 0.1124 data_time: 0.0016 memory: 587 2022/08/26 00:54:41 - mmengine - INFO - Epoch(val) [120][50/500] eta: 0:00:58 time: 0.1309 data_time: 0.0017 memory: 587 2022/08/26 00:54:43 - mmengine - INFO - Epoch(val) [120][55/500] eta: 0:00:58 time: 0.1833 data_time: 0.0150 memory: 602 2022/08/26 00:54:43 - mmengine - INFO - Epoch(val) [120][60/500] eta: 0:01:25 time: 0.1955 data_time: 0.0150 memory: 602 2022/08/26 00:54:44 - mmengine - INFO - Epoch(val) [120][65/500] eta: 0:01:25 time: 0.1432 data_time: 0.0017 memory: 602 2022/08/26 00:54:45 - mmengine - INFO - Epoch(val) [120][70/500] eta: 0:01:03 time: 0.1467 data_time: 0.0017 memory: 602 2022/08/26 00:54:46 - mmengine - INFO - Epoch(val) [120][75/500] eta: 0:01:03 time: 0.1861 data_time: 0.0043 memory: 602 2022/08/26 00:54:46 - mmengine - INFO - Epoch(val) [120][80/500] eta: 0:01:07 time: 0.1603 data_time: 0.0166 memory: 602 2022/08/26 00:54:47 - mmengine - INFO - Epoch(val) [120][85/500] eta: 0:01:07 time: 0.1241 data_time: 0.0140 memory: 602 2022/08/26 00:54:48 - mmengine - INFO - Epoch(val) [120][90/500] eta: 0:00:53 time: 0.1298 data_time: 0.0018 memory: 587 2022/08/26 00:54:49 - mmengine - INFO - Epoch(val) [120][95/500] eta: 0:00:53 time: 0.1417 data_time: 0.0068 memory: 602 2022/08/26 00:54:49 - mmengine - INFO - Epoch(val) [120][100/500] eta: 0:00:50 time: 0.1254 data_time: 0.0067 memory: 602 2022/08/26 00:54:50 - mmengine - INFO - Epoch(val) [120][105/500] eta: 0:00:50 time: 0.1175 data_time: 0.0018 memory: 602 2022/08/26 00:54:50 - mmengine - INFO - Epoch(val) [120][110/500] eta: 0:00:41 time: 0.1068 data_time: 0.0018 memory: 602 2022/08/26 00:54:51 - mmengine - INFO - Epoch(val) [120][115/500] eta: 0:00:41 time: 0.1021 data_time: 0.0016 memory: 602 2022/08/26 00:54:51 - mmengine - INFO - Epoch(val) [120][120/500] eta: 0:00:49 time: 0.1296 data_time: 0.0015 memory: 602 2022/08/26 00:54:53 - mmengine - INFO - Epoch(val) [120][125/500] eta: 0:00:49 time: 0.1978 data_time: 0.0030 memory: 602 2022/08/26 00:54:53 - mmengine - INFO - Epoch(val) [120][130/500] eta: 0:01:06 time: 0.1808 data_time: 0.0030 memory: 602 2022/08/26 00:54:54 - mmengine - INFO - Epoch(val) [120][135/500] eta: 0:01:06 time: 0.1175 data_time: 0.0017 memory: 602 2022/08/26 00:54:55 - mmengine - INFO - Epoch(val) [120][140/500] eta: 0:00:51 time: 0.1423 data_time: 0.0018 memory: 587 2022/08/26 00:54:55 - mmengine - INFO - Epoch(val) [120][145/500] eta: 0:00:51 time: 0.1250 data_time: 0.0017 memory: 602 2022/08/26 00:54:56 - mmengine - INFO - Epoch(val) [120][150/500] eta: 0:00:34 time: 0.0997 data_time: 0.0016 memory: 587 2022/08/26 00:54:56 - mmengine - INFO - Epoch(val) [120][155/500] eta: 0:00:34 time: 0.1117 data_time: 0.0016 memory: 602 2022/08/26 00:54:57 - mmengine - INFO - Epoch(val) [120][160/500] eta: 0:00:35 time: 0.1042 data_time: 0.0016 memory: 602 2022/08/26 00:54:57 - mmengine - INFO - Epoch(val) [120][165/500] eta: 0:00:35 time: 0.1166 data_time: 0.0015 memory: 602 2022/08/26 00:54:58 - mmengine - INFO - Epoch(val) [120][170/500] eta: 0:00:46 time: 0.1416 data_time: 0.0016 memory: 587 2022/08/26 00:54:58 - mmengine - INFO - Epoch(val) [120][175/500] eta: 0:00:46 time: 0.1050 data_time: 0.0015 memory: 602 2022/08/26 00:54:59 - mmengine - INFO - Epoch(val) [120][180/500] eta: 0:00:33 time: 0.1048 data_time: 0.0034 memory: 602 2022/08/26 00:55:00 - mmengine - INFO - Epoch(val) [120][185/500] eta: 0:00:33 time: 0.1280 data_time: 0.0035 memory: 602 2022/08/26 00:55:00 - mmengine - INFO - Epoch(val) [120][190/500] eta: 0:00:38 time: 0.1227 data_time: 0.0016 memory: 602 2022/08/26 00:55:01 - mmengine - INFO - Epoch(val) [120][195/500] eta: 0:00:38 time: 0.1197 data_time: 0.0017 memory: 602 2022/08/26 00:55:02 - mmengine - INFO - Epoch(val) [120][200/500] eta: 0:00:36 time: 0.1225 data_time: 0.0018 memory: 602 2022/08/26 00:55:04 - mmengine - INFO - Epoch(val) [120][205/500] eta: 0:00:36 time: 0.3443 data_time: 0.0192 memory: 602 2022/08/26 00:55:05 - mmengine - INFO - Epoch(val) [120][210/500] eta: 0:01:36 time: 0.3341 data_time: 0.0210 memory: 602 2022/08/26 00:55:05 - mmengine - INFO - Epoch(val) [120][215/500] eta: 0:01:36 time: 0.0994 data_time: 0.0035 memory: 602 2022/08/26 00:55:06 - mmengine - INFO - Epoch(val) [120][220/500] eta: 0:00:28 time: 0.1002 data_time: 0.0017 memory: 587 2022/08/26 00:55:06 - mmengine - INFO - Epoch(val) [120][225/500] eta: 0:00:28 time: 0.1040 data_time: 0.0017 memory: 602 2022/08/26 00:55:08 - mmengine - INFO - Epoch(val) [120][230/500] eta: 0:00:44 time: 0.1647 data_time: 0.0018 memory: 602 2022/08/26 00:55:08 - mmengine - INFO - Epoch(val) [120][235/500] eta: 0:00:44 time: 0.1946 data_time: 0.0045 memory: 602 2022/08/26 00:55:09 - mmengine - INFO - Epoch(val) [120][240/500] eta: 0:00:36 time: 0.1403 data_time: 0.0045 memory: 602 2022/08/26 00:55:10 - mmengine - INFO - Epoch(val) [120][245/500] eta: 0:00:36 time: 0.1358 data_time: 0.0018 memory: 597 2022/08/26 00:55:10 - mmengine - INFO - Epoch(val) [120][250/500] eta: 0:00:31 time: 0.1259 data_time: 0.0018 memory: 602 2022/08/26 00:55:12 - mmengine - INFO - Epoch(val) [120][255/500] eta: 0:00:31 time: 0.2244 data_time: 0.0019 memory: 602 2022/08/26 00:55:12 - mmengine - INFO - Epoch(val) [120][260/500] eta: 0:00:53 time: 0.2219 data_time: 0.0019 memory: 602 2022/08/26 00:55:13 - mmengine - INFO - Epoch(val) [120][265/500] eta: 0:00:53 time: 0.1080 data_time: 0.0017 memory: 587 2022/08/26 00:55:14 - mmengine - INFO - Epoch(val) [120][270/500] eta: 0:00:26 time: 0.1139 data_time: 0.0017 memory: 602 2022/08/26 00:55:14 - mmengine - INFO - Epoch(val) [120][275/500] eta: 0:00:26 time: 0.1316 data_time: 0.0017 memory: 602 2022/08/26 00:55:15 - mmengine - INFO - Epoch(val) [120][280/500] eta: 0:00:23 time: 0.1072 data_time: 0.0016 memory: 592 2022/08/26 00:55:15 - mmengine - INFO - Epoch(val) [120][285/500] eta: 0:00:23 time: 0.0881 data_time: 0.0016 memory: 597 2022/08/26 00:55:16 - mmengine - INFO - Epoch(val) [120][290/500] eta: 0:00:24 time: 0.1187 data_time: 0.0016 memory: 587 2022/08/26 00:55:17 - mmengine - INFO - Epoch(val) [120][295/500] eta: 0:00:24 time: 0.1291 data_time: 0.0016 memory: 602 2022/08/26 00:55:17 - mmengine - INFO - Epoch(val) [120][300/500] eta: 0:00:22 time: 0.1136 data_time: 0.0016 memory: 602 2022/08/26 00:55:17 - mmengine - INFO - Epoch(val) [120][305/500] eta: 0:00:22 time: 0.0847 data_time: 0.0016 memory: 602 2022/08/26 00:55:18 - mmengine - INFO - Epoch(val) [120][310/500] eta: 0:00:15 time: 0.0808 data_time: 0.0015 memory: 602 2022/08/26 00:55:18 - mmengine - INFO - Epoch(val) [120][315/500] eta: 0:00:15 time: 0.1055 data_time: 0.0015 memory: 602 2022/08/26 00:55:19 - mmengine - INFO - Epoch(val) [120][320/500] eta: 0:00:22 time: 0.1255 data_time: 0.0016 memory: 602 2022/08/26 00:55:20 - mmengine - INFO - Epoch(val) [120][325/500] eta: 0:00:22 time: 0.1198 data_time: 0.0017 memory: 602 2022/08/26 00:55:20 - mmengine - INFO - Epoch(val) [120][330/500] eta: 0:00:19 time: 0.1174 data_time: 0.0017 memory: 602 2022/08/26 00:55:21 - mmengine - INFO - Epoch(val) [120][335/500] eta: 0:00:19 time: 0.1397 data_time: 0.0018 memory: 602 2022/08/26 00:55:23 - mmengine - INFO - Epoch(val) [120][340/500] eta: 0:00:51 time: 0.3207 data_time: 0.0175 memory: 602 2022/08/26 00:55:24 - mmengine - INFO - Epoch(val) [120][345/500] eta: 0:00:51 time: 0.2973 data_time: 0.0175 memory: 602 2022/08/26 00:55:25 - mmengine - INFO - Epoch(val) [120][350/500] eta: 0:00:20 time: 0.1374 data_time: 0.0033 memory: 602 2022/08/26 00:55:26 - mmengine - INFO - Epoch(val) [120][355/500] eta: 0:00:20 time: 0.1694 data_time: 0.0032 memory: 594 2022/08/26 00:55:26 - mmengine - INFO - Epoch(val) [120][360/500] eta: 0:00:19 time: 0.1400 data_time: 0.0017 memory: 602 2022/08/26 00:55:27 - mmengine - INFO - Epoch(val) [120][365/500] eta: 0:00:19 time: 0.1262 data_time: 0.0017 memory: 602 2022/08/26 00:55:27 - mmengine - INFO - Epoch(val) [120][370/500] eta: 0:00:16 time: 0.1258 data_time: 0.0020 memory: 602 2022/08/26 00:55:28 - mmengine - INFO - Epoch(val) [120][375/500] eta: 0:00:16 time: 0.0956 data_time: 0.0020 memory: 587 2022/08/26 00:55:29 - mmengine - INFO - Epoch(val) [120][380/500] eta: 0:00:12 time: 0.1050 data_time: 0.0018 memory: 602 2022/08/26 00:55:29 - mmengine - INFO - Epoch(val) [120][385/500] eta: 0:00:12 time: 0.1109 data_time: 0.0019 memory: 602 2022/08/26 00:55:30 - mmengine - INFO - Epoch(val) [120][390/500] eta: 0:00:13 time: 0.1183 data_time: 0.0019 memory: 602 2022/08/26 00:55:31 - mmengine - INFO - Epoch(val) [120][395/500] eta: 0:00:13 time: 0.1769 data_time: 0.0019 memory: 602 2022/08/26 00:55:32 - mmengine - INFO - Epoch(val) [120][400/500] eta: 0:00:18 time: 0.1860 data_time: 0.0018 memory: 602 2022/08/26 00:55:32 - mmengine - INFO - Epoch(val) [120][405/500] eta: 0:00:18 time: 0.1375 data_time: 0.0041 memory: 602 2022/08/26 00:55:33 - mmengine - INFO - Epoch(val) [120][410/500] eta: 0:00:10 time: 0.1214 data_time: 0.0041 memory: 602 2022/08/26 00:55:34 - mmengine - INFO - Epoch(val) [120][415/500] eta: 0:00:10 time: 0.1447 data_time: 0.0018 memory: 602 2022/08/26 00:55:34 - mmengine - INFO - Epoch(val) [120][420/500] eta: 0:00:12 time: 0.1590 data_time: 0.0017 memory: 602 2022/08/26 00:55:35 - mmengine - INFO - Epoch(val) [120][425/500] eta: 0:00:12 time: 0.1446 data_time: 0.0015 memory: 602 2022/08/26 00:55:36 - mmengine - INFO - Epoch(val) [120][430/500] eta: 0:00:08 time: 0.1246 data_time: 0.0015 memory: 602 2022/08/26 00:55:36 - mmengine - INFO - Epoch(val) [120][435/500] eta: 0:00:08 time: 0.1299 data_time: 0.0015 memory: 597 2022/08/26 00:55:37 - mmengine - INFO - Epoch(val) [120][440/500] eta: 0:00:08 time: 0.1442 data_time: 0.0015 memory: 602 2022/08/26 00:55:38 - mmengine - INFO - Epoch(val) [120][445/500] eta: 0:00:08 time: 0.1333 data_time: 0.0082 memory: 602 2022/08/26 00:55:38 - mmengine - INFO - Epoch(val) [120][450/500] eta: 0:00:05 time: 0.1096 data_time: 0.0083 memory: 602 2022/08/26 00:55:39 - mmengine - INFO - Epoch(val) [120][455/500] eta: 0:00:05 time: 0.1214 data_time: 0.0019 memory: 602 2022/08/26 00:55:40 - mmengine - INFO - Epoch(val) [120][460/500] eta: 0:00:05 time: 0.1343 data_time: 0.0018 memory: 597 2022/08/26 00:55:40 - mmengine - INFO - Epoch(val) [120][465/500] eta: 0:00:05 time: 0.1289 data_time: 0.0017 memory: 602 2022/08/26 00:55:41 - mmengine - INFO - Epoch(val) [120][470/500] eta: 0:00:03 time: 0.1277 data_time: 0.0024 memory: 602 2022/08/26 00:55:41 - mmengine - INFO - Epoch(val) [120][475/500] eta: 0:00:03 time: 0.1237 data_time: 0.0023 memory: 602 2022/08/26 00:55:44 - mmengine - INFO - Epoch(val) [120][480/500] eta: 0:00:06 time: 0.3371 data_time: 0.0145 memory: 587 2022/08/26 00:55:45 - mmengine - INFO - Epoch(val) [120][485/500] eta: 0:00:06 time: 0.3283 data_time: 0.0171 memory: 602 2022/08/26 00:55:45 - mmengine - INFO - Epoch(val) [120][490/500] eta: 0:00:01 time: 0.1029 data_time: 0.0042 memory: 602 2022/08/26 00:55:46 - mmengine - INFO - Epoch(val) [120][495/500] eta: 0:00:01 time: 0.1074 data_time: 0.0016 memory: 587 2022/08/26 00:55:47 - mmengine - INFO - Epoch(val) [120][500/500] eta: 0:00:00 time: 0.1342 data_time: 0.0255 memory: 587 2022/08/26 00:55:47 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 00:55:47 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7603, precision: 0.7034, hmean: 0.7307 2022/08/26 00:55:47 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7538, precision: 0.7273, hmean: 0.7403 2022/08/26 00:55:47 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7457, precision: 0.7481, hmean: 0.7469 2022/08/26 00:55:47 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7369, precision: 0.7663, hmean: 0.7513 2022/08/26 00:55:47 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7246, precision: 0.7876, hmean: 0.7547 2022/08/26 00:55:47 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7063, precision: 0.8153, hmean: 0.7569 2022/08/26 00:55:47 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6647, precision: 0.8492, hmean: 0.7457 2022/08/26 00:55:47 - mmengine - INFO - Epoch(val) [120][500/500] icdar/precision: 0.8153 icdar/recall: 0.7063 icdar/hmean: 0.7569 2022/08/26 00:55:50 - mmengine - INFO - Epoch(train) [121][5/125] lr: 9.2766e-04 eta: 0:00:00 time: 0.5331 data_time: 0.0705 memory: 9483 loss_text: 0.7042 loss_center: 2.7879 loss_reg_x: 0.9482 loss_reg_y: 0.7572 loss: 5.1976 2022/08/26 00:55:52 - mmengine - INFO - Epoch(train) [121][10/125] lr: 9.2766e-04 eta: 1 day, 3:08:42 time: 0.5301 data_time: 0.0692 memory: 9483 loss_text: 0.6566 loss_center: 2.7866 loss_reg_x: 0.8914 loss_reg_y: 0.7887 loss: 5.1233 2022/08/26 00:55:54 - mmengine - INFO - Epoch(train) [121][15/125] lr: 9.2766e-04 eta: 1 day, 3:08:42 time: 0.4783 data_time: 0.0120 memory: 9483 loss_text: 0.6041 loss_center: 2.7780 loss_reg_x: 0.8149 loss_reg_y: 0.8266 loss: 5.0236 2022/08/26 00:55:57 - mmengine - INFO - Epoch(train) [121][20/125] lr: 9.2766e-04 eta: 1 day, 3:08:27 time: 0.4889 data_time: 0.0126 memory: 9483 loss_text: 0.7352 loss_center: 2.8059 loss_reg_x: 1.0905 loss_reg_y: 1.1453 loss: 5.7768 2022/08/26 00:56:00 - mmengine - INFO - Epoch(train) [121][25/125] lr: 9.2766e-04 eta: 1 day, 3:08:27 time: 0.5166 data_time: 0.0180 memory: 9483 loss_text: 0.7986 loss_center: 2.8161 loss_reg_x: 1.3096 loss_reg_y: 1.4957 loss: 6.4200 2022/08/26 00:56:06 - mmengine - INFO - Epoch(train) [121][30/125] lr: 9.2766e-04 eta: 1 day, 3:09:00 time: 0.9021 data_time: 0.0596 memory: 9483 loss_text: 0.6916 loss_center: 2.7866 loss_reg_x: 1.0213 loss_reg_y: 1.2340 loss: 5.7334 2022/08/26 00:56:08 - mmengine - INFO - Epoch(train) [121][35/125] lr: 9.2766e-04 eta: 1 day, 3:09:00 time: 0.8971 data_time: 0.0603 memory: 9483 loss_text: 0.7007 loss_center: 2.7972 loss_reg_x: 0.9237 loss_reg_y: 0.9819 loss: 5.4035 2022/08/26 00:56:11 - mmengine - INFO - Epoch(train) [121][40/125] lr: 9.2766e-04 eta: 1 day, 3:08:51 time: 0.5368 data_time: 0.0224 memory: 9483 loss_text: 0.7357 loss_center: 2.8135 loss_reg_x: 1.0628 loss_reg_y: 1.2168 loss: 5.8288 2022/08/26 00:56:14 - mmengine - INFO - Epoch(train) [121][45/125] lr: 9.2766e-04 eta: 1 day, 3:08:51 time: 0.5260 data_time: 0.0165 memory: 9483 loss_text: 0.7959 loss_center: 2.8141 loss_reg_x: 0.9225 loss_reg_y: 1.1947 loss: 5.7271 2022/08/26 00:56:16 - mmengine - INFO - Epoch(train) [121][50/125] lr: 9.2766e-04 eta: 1 day, 3:08:38 time: 0.5061 data_time: 0.0132 memory: 9483 loss_text: 0.8167 loss_center: 2.7500 loss_reg_x: 0.8506 loss_reg_y: 1.0958 loss: 5.5130 2022/08/26 00:56:19 - mmengine - INFO - Epoch(train) [121][55/125] lr: 9.2766e-04 eta: 1 day, 3:08:38 time: 0.4869 data_time: 0.0141 memory: 9483 loss_text: 0.7700 loss_center: 2.7388 loss_reg_x: 0.8988 loss_reg_y: 1.0370 loss: 5.4447 2022/08/26 00:56:21 - mmengine - INFO - Epoch(train) [121][60/125] lr: 9.2766e-04 eta: 1 day, 3:08:26 time: 0.5062 data_time: 0.0171 memory: 9483 loss_text: 0.7116 loss_center: 2.7901 loss_reg_x: 0.8529 loss_reg_y: 0.8260 loss: 5.1806 2022/08/26 00:56:26 - mmengine - INFO - Epoch(train) [121][65/125] lr: 9.2766e-04 eta: 1 day, 3:08:26 time: 0.7073 data_time: 0.0385 memory: 9483 loss_text: 0.7052 loss_center: 2.7986 loss_reg_x: 0.8800 loss_reg_y: 0.8657 loss: 5.2495 2022/08/26 00:56:28 - mmengine - INFO - Epoch(train) [121][70/125] lr: 9.2766e-04 eta: 1 day, 3:08:33 time: 0.6804 data_time: 0.0363 memory: 9483 loss_text: 0.7403 loss_center: 2.8126 loss_reg_x: 0.9578 loss_reg_y: 0.9205 loss: 5.4312 2022/08/26 00:56:31 - mmengine - INFO - Epoch(train) [121][75/125] lr: 9.2766e-04 eta: 1 day, 3:08:33 time: 0.4941 data_time: 0.0158 memory: 9483 loss_text: 0.7210 loss_center: 2.7998 loss_reg_x: 0.9072 loss_reg_y: 0.8980 loss: 5.3259 2022/08/26 00:56:34 - mmengine - INFO - Epoch(train) [121][80/125] lr: 9.2766e-04 eta: 1 day, 3:08:25 time: 0.5459 data_time: 0.0172 memory: 9483 loss_text: 0.7389 loss_center: 2.7831 loss_reg_x: 0.9379 loss_reg_y: 0.9564 loss: 5.4162 2022/08/26 00:56:36 - mmengine - INFO - Epoch(train) [121][85/125] lr: 9.2766e-04 eta: 1 day, 3:08:25 time: 0.5719 data_time: 0.0169 memory: 9483 loss_text: 0.7439 loss_center: 2.7778 loss_reg_x: 0.9774 loss_reg_y: 0.9244 loss: 5.4234 2022/08/26 00:56:39 - mmengine - INFO - Epoch(train) [121][90/125] lr: 9.2766e-04 eta: 1 day, 3:08:13 time: 0.5138 data_time: 0.0141 memory: 9483 loss_text: 0.7760 loss_center: 2.7745 loss_reg_x: 0.9618 loss_reg_y: 0.9888 loss: 5.5011 2022/08/26 00:56:41 - mmengine - INFO - Epoch(train) [121][95/125] lr: 9.2766e-04 eta: 1 day, 3:08:13 time: 0.4984 data_time: 0.0144 memory: 9483 loss_text: 0.8513 loss_center: 2.7959 loss_reg_x: 1.1146 loss_reg_y: 1.1146 loss: 5.8764 2022/08/26 00:56:44 - mmengine - INFO - Epoch(train) [121][100/125] lr: 9.2766e-04 eta: 1 day, 3:08:08 time: 0.5740 data_time: 0.0282 memory: 9483 loss_text: 0.9024 loss_center: 2.8097 loss_reg_x: 1.3239 loss_reg_y: 1.2455 loss: 6.2814 2022/08/26 00:56:47 - mmengine - INFO - Epoch(train) [121][105/125] lr: 9.2766e-04 eta: 1 day, 3:08:08 time: 0.5654 data_time: 0.0286 memory: 9483 loss_text: 0.8191 loss_center: 2.8046 loss_reg_x: 1.2792 loss_reg_y: 1.2044 loss: 6.1073 2022/08/26 00:56:50 - mmengine - INFO - Epoch(train) [121][110/125] lr: 9.2766e-04 eta: 1 day, 3:07:57 time: 0.5185 data_time: 0.0145 memory: 9483 loss_text: 0.8243 loss_center: 2.8127 loss_reg_x: 1.0853 loss_reg_y: 0.9452 loss: 5.6675 2022/08/26 00:56:52 - mmengine - INFO - Epoch(train) [121][115/125] lr: 9.2766e-04 eta: 1 day, 3:07:57 time: 0.5337 data_time: 0.0119 memory: 9483 loss_text: 0.8370 loss_center: 2.8147 loss_reg_x: 1.0094 loss_reg_y: 1.0918 loss: 5.7530 2022/08/26 00:56:55 - mmengine - INFO - Epoch(train) [121][120/125] lr: 9.2766e-04 eta: 1 day, 3:07:48 time: 0.5348 data_time: 0.0169 memory: 9483 loss_text: 0.6981 loss_center: 2.7922 loss_reg_x: 0.8646 loss_reg_y: 1.0526 loss: 5.4075 2022/08/26 00:56:57 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:56:57 - mmengine - INFO - Epoch(train) [121][125/125] lr: 9.2766e-04 eta: 1 day, 3:07:48 time: 0.5141 data_time: 0.0188 memory: 9483 loss_text: 0.7022 loss_center: 2.7835 loss_reg_x: 0.8383 loss_reg_y: 0.7531 loss: 5.0771 2022/08/26 00:57:01 - mmengine - INFO - Epoch(train) [122][5/125] lr: 9.2706e-04 eta: 1 day, 3:07:48 time: 0.5474 data_time: 0.0728 memory: 9483 loss_text: 0.9233 loss_center: 2.8166 loss_reg_x: 1.0749 loss_reg_y: 0.8933 loss: 5.7081 2022/08/26 00:57:06 - mmengine - INFO - Epoch(train) [122][10/125] lr: 9.2706e-04 eta: 1 day, 3:07:34 time: 0.8043 data_time: 0.1104 memory: 9483 loss_text: 0.9059 loss_center: 2.8419 loss_reg_x: 1.1740 loss_reg_y: 1.0680 loss: 5.9897 2022/08/26 00:57:08 - mmengine - INFO - Epoch(train) [122][15/125] lr: 9.2706e-04 eta: 1 day, 3:07:34 time: 0.7763 data_time: 0.0560 memory: 9483 loss_text: 0.7700 loss_center: 2.8168 loss_reg_x: 1.0476 loss_reg_y: 1.0279 loss: 5.6622 2022/08/26 00:57:11 - mmengine - INFO - Epoch(train) [122][20/125] lr: 9.2706e-04 eta: 1 day, 3:07:25 time: 0.5308 data_time: 0.0187 memory: 9483 loss_text: 0.7824 loss_center: 2.7948 loss_reg_x: 0.9123 loss_reg_y: 0.9489 loss: 5.4383 2022/08/26 00:57:13 - mmengine - INFO - Epoch(train) [122][25/125] lr: 9.2706e-04 eta: 1 day, 3:07:25 time: 0.5038 data_time: 0.0147 memory: 9483 loss_text: 0.7189 loss_center: 2.7934 loss_reg_x: 0.9543 loss_reg_y: 1.0199 loss: 5.4864 2022/08/26 00:57:16 - mmengine - INFO - Epoch(train) [122][30/125] lr: 9.2706e-04 eta: 1 day, 3:07:14 time: 0.5189 data_time: 0.0126 memory: 9483 loss_text: 0.7118 loss_center: 2.7932 loss_reg_x: 1.0162 loss_reg_y: 0.9163 loss: 5.4375 2022/08/26 00:57:19 - mmengine - INFO - Epoch(train) [122][35/125] lr: 9.2706e-04 eta: 1 day, 3:07:14 time: 0.5493 data_time: 0.0147 memory: 9483 loss_text: 0.7406 loss_center: 2.8009 loss_reg_x: 0.8994 loss_reg_y: 0.8093 loss: 5.2502 2022/08/26 00:57:21 - mmengine - INFO - Epoch(train) [122][40/125] lr: 9.2706e-04 eta: 1 day, 3:07:04 time: 0.5315 data_time: 0.0159 memory: 9483 loss_text: 0.7689 loss_center: 2.8102 loss_reg_x: 0.8447 loss_reg_y: 0.9470 loss: 5.3709 2022/08/26 00:57:25 - mmengine - INFO - Epoch(train) [122][45/125] lr: 9.2706e-04 eta: 1 day, 3:07:04 time: 0.5830 data_time: 0.0379 memory: 9483 loss_text: 0.7996 loss_center: 2.8130 loss_reg_x: 0.8659 loss_reg_y: 0.9453 loss: 5.4237 2022/08/26 00:57:27 - mmengine - INFO - Epoch(train) [122][50/125] lr: 9.2706e-04 eta: 1 day, 3:06:59 time: 0.5772 data_time: 0.0378 memory: 9483 loss_text: 0.7885 loss_center: 2.8013 loss_reg_x: 0.9715 loss_reg_y: 0.9812 loss: 5.5426 2022/08/26 00:57:29 - mmengine - INFO - Epoch(train) [122][55/125] lr: 9.2706e-04 eta: 1 day, 3:06:59 time: 0.4823 data_time: 0.0152 memory: 9483 loss_text: 0.7544 loss_center: 2.7812 loss_reg_x: 0.8954 loss_reg_y: 0.9617 loss: 5.3927 2022/08/26 00:57:32 - mmengine - INFO - Epoch(train) [122][60/125] lr: 9.2706e-04 eta: 1 day, 3:06:45 time: 0.4914 data_time: 0.0153 memory: 9483 loss_text: 0.7484 loss_center: 2.7893 loss_reg_x: 0.9676 loss_reg_y: 1.2202 loss: 5.7256 2022/08/26 00:57:35 - mmengine - INFO - Epoch(train) [122][65/125] lr: 9.2706e-04 eta: 1 day, 3:06:45 time: 0.5114 data_time: 0.0145 memory: 9483 loss_text: 0.8078 loss_center: 2.8096 loss_reg_x: 1.0633 loss_reg_y: 1.3787 loss: 6.0595 2022/08/26 00:57:37 - mmengine - INFO - Epoch(train) [122][70/125] lr: 9.2706e-04 eta: 1 day, 3:06:32 time: 0.4981 data_time: 0.0134 memory: 9483 loss_text: 0.8451 loss_center: 2.7996 loss_reg_x: 1.1210 loss_reg_y: 1.1114 loss: 5.8772 2022/08/26 00:57:40 - mmengine - INFO - Epoch(train) [122][75/125] lr: 9.2706e-04 eta: 1 day, 3:06:32 time: 0.4907 data_time: 0.0123 memory: 9483 loss_text: 0.9226 loss_center: 2.8068 loss_reg_x: 1.2190 loss_reg_y: 1.2541 loss: 6.2025 2022/08/26 00:57:44 - mmengine - INFO - Epoch(train) [122][80/125] lr: 9.2706e-04 eta: 1 day, 3:06:38 time: 0.6717 data_time: 0.0156 memory: 9483 loss_text: 0.9290 loss_center: 2.8196 loss_reg_x: 1.0618 loss_reg_y: 1.2322 loss: 6.0425 2022/08/26 00:57:47 - mmengine - INFO - Epoch(train) [122][85/125] lr: 9.2706e-04 eta: 1 day, 3:06:38 time: 0.7185 data_time: 0.0219 memory: 9483 loss_text: 0.9635 loss_center: 2.8131 loss_reg_x: 1.2154 loss_reg_y: 1.1229 loss: 6.1149 2022/08/26 00:57:49 - mmengine - INFO - Epoch(train) [122][90/125] lr: 9.2706e-04 eta: 1 day, 3:06:31 time: 0.5527 data_time: 0.0196 memory: 9483 loss_text: 0.9624 loss_center: 2.7983 loss_reg_x: 1.1136 loss_reg_y: 1.0286 loss: 5.9028 2022/08/26 00:57:52 - mmengine - INFO - Epoch(train) [122][95/125] lr: 9.2706e-04 eta: 1 day, 3:06:31 time: 0.5311 data_time: 0.0131 memory: 9483 loss_text: 0.8632 loss_center: 2.7779 loss_reg_x: 0.9955 loss_reg_y: 0.9170 loss: 5.5536 2022/08/26 00:57:55 - mmengine - INFO - Epoch(train) [122][100/125] lr: 9.2706e-04 eta: 1 day, 3:06:31 time: 0.6166 data_time: 0.0202 memory: 9483 loss_text: 0.8610 loss_center: 2.7730 loss_reg_x: 1.2003 loss_reg_y: 1.0860 loss: 5.9204 2022/08/26 00:57:58 - mmengine - INFO - Epoch(train) [122][105/125] lr: 9.2706e-04 eta: 1 day, 3:06:31 time: 0.5916 data_time: 0.0212 memory: 9483 loss_text: 0.8276 loss_center: 2.8058 loss_reg_x: 1.1622 loss_reg_y: 1.2292 loss: 6.0247 2022/08/26 00:58:00 - mmengine - INFO - Epoch(train) [122][110/125] lr: 9.2706e-04 eta: 1 day, 3:06:17 time: 0.4903 data_time: 0.0138 memory: 9483 loss_text: 0.8166 loss_center: 2.8161 loss_reg_x: 1.1915 loss_reg_y: 1.2818 loss: 6.1060 2022/08/26 00:58:04 - mmengine - INFO - Epoch(train) [122][115/125] lr: 9.2706e-04 eta: 1 day, 3:06:17 time: 0.6185 data_time: 0.0142 memory: 9483 loss_text: 0.7916 loss_center: 2.7979 loss_reg_x: 1.0999 loss_reg_y: 1.0705 loss: 5.7599 2022/08/26 00:58:07 - mmengine - INFO - Epoch(train) [122][120/125] lr: 9.2706e-04 eta: 1 day, 3:06:18 time: 0.6325 data_time: 0.0157 memory: 9483 loss_text: 0.8229 loss_center: 2.8185 loss_reg_x: 1.0896 loss_reg_y: 1.0341 loss: 5.7651 2022/08/26 00:58:09 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:58:09 - mmengine - INFO - Epoch(train) [122][125/125] lr: 9.2706e-04 eta: 1 day, 3:06:18 time: 0.5074 data_time: 0.0148 memory: 9483 loss_text: 0.8489 loss_center: 2.8267 loss_reg_x: 1.2645 loss_reg_y: 1.1846 loss: 6.1248 2022/08/26 00:58:13 - mmengine - INFO - Epoch(train) [123][5/125] lr: 9.2645e-04 eta: 1 day, 3:06:18 time: 0.6366 data_time: 0.1002 memory: 9483 loss_text: 0.7900 loss_center: 2.8024 loss_reg_x: 1.2222 loss_reg_y: 1.0976 loss: 5.9122 2022/08/26 00:58:15 - mmengine - INFO - Epoch(train) [123][10/125] lr: 9.2645e-04 eta: 1 day, 3:05:45 time: 0.6284 data_time: 0.0993 memory: 9483 loss_text: 0.7515 loss_center: 2.8134 loss_reg_x: 1.2204 loss_reg_y: 1.1733 loss: 5.9586 2022/08/26 00:58:18 - mmengine - INFO - Epoch(train) [123][15/125] lr: 9.2645e-04 eta: 1 day, 3:05:45 time: 0.4889 data_time: 0.0135 memory: 9483 loss_text: 0.7731 loss_center: 2.8069 loss_reg_x: 1.1331 loss_reg_y: 1.1711 loss: 5.8842 2022/08/26 00:58:21 - mmengine - INFO - Epoch(train) [123][20/125] lr: 9.2645e-04 eta: 1 day, 3:05:34 time: 0.5183 data_time: 0.0164 memory: 9483 loss_text: 0.7633 loss_center: 2.7876 loss_reg_x: 1.0624 loss_reg_y: 1.1570 loss: 5.7703 2022/08/26 00:58:25 - mmengine - INFO - Epoch(train) [123][25/125] lr: 9.2645e-04 eta: 1 day, 3:05:34 time: 0.6869 data_time: 0.0385 memory: 9483 loss_text: 0.7133 loss_center: 2.7987 loss_reg_x: 1.0306 loss_reg_y: 1.1359 loss: 5.6785 2022/08/26 00:58:27 - mmengine - INFO - Epoch(train) [123][30/125] lr: 9.2645e-04 eta: 1 day, 3:05:39 time: 0.6662 data_time: 0.0398 memory: 9483 loss_text: 0.7600 loss_center: 2.7910 loss_reg_x: 0.9865 loss_reg_y: 1.0397 loss: 5.5773 2022/08/26 00:58:30 - mmengine - INFO - Epoch(train) [123][35/125] lr: 9.2645e-04 eta: 1 day, 3:05:39 time: 0.4928 data_time: 0.0181 memory: 9483 loss_text: 0.8094 loss_center: 2.7876 loss_reg_x: 0.9603 loss_reg_y: 1.1000 loss: 5.6572 2022/08/26 00:58:32 - mmengine - INFO - Epoch(train) [123][40/125] lr: 9.2645e-04 eta: 1 day, 3:05:24 time: 0.4807 data_time: 0.0159 memory: 9483 loss_text: 0.7701 loss_center: 2.7935 loss_reg_x: 0.9651 loss_reg_y: 1.0394 loss: 5.5682 2022/08/26 00:58:35 - mmengine - INFO - Epoch(train) [123][45/125] lr: 9.2645e-04 eta: 1 day, 3:05:24 time: 0.4767 data_time: 0.0139 memory: 9483 loss_text: 0.7746 loss_center: 2.7963 loss_reg_x: 1.0746 loss_reg_y: 1.0341 loss: 5.6797 2022/08/26 00:58:37 - mmengine - INFO - Epoch(train) [123][50/125] lr: 9.2645e-04 eta: 1 day, 3:05:10 time: 0.4953 data_time: 0.0125 memory: 9483 loss_text: 0.8073 loss_center: 2.7823 loss_reg_x: 1.0609 loss_reg_y: 1.0078 loss: 5.6583 2022/08/26 00:58:39 - mmengine - INFO - Epoch(train) [123][55/125] lr: 9.2645e-04 eta: 1 day, 3:05:10 time: 0.4948 data_time: 0.0119 memory: 9483 loss_text: 0.7056 loss_center: 2.7897 loss_reg_x: 0.9017 loss_reg_y: 0.8678 loss: 5.2648 2022/08/26 00:58:42 - mmengine - INFO - Epoch(train) [123][60/125] lr: 9.2645e-04 eta: 1 day, 3:04:55 time: 0.4781 data_time: 0.0146 memory: 9483 loss_text: 0.7862 loss_center: 2.8046 loss_reg_x: 0.9147 loss_reg_y: 0.9476 loss: 5.4531 2022/08/26 00:58:47 - mmengine - INFO - Epoch(train) [123][65/125] lr: 9.2645e-04 eta: 1 day, 3:04:55 time: 0.7732 data_time: 0.0158 memory: 9483 loss_text: 0.8004 loss_center: 2.7670 loss_reg_x: 1.0005 loss_reg_y: 1.0172 loss: 5.5851 2022/08/26 00:58:50 - mmengine - INFO - Epoch(train) [123][70/125] lr: 9.2645e-04 eta: 1 day, 3:05:16 time: 0.8075 data_time: 0.0140 memory: 9483 loss_text: 0.8110 loss_center: 2.7787 loss_reg_x: 1.1731 loss_reg_y: 1.1951 loss: 5.9579 2022/08/26 00:58:52 - mmengine - INFO - Epoch(train) [123][75/125] lr: 9.2645e-04 eta: 1 day, 3:05:16 time: 0.5204 data_time: 0.0166 memory: 9483 loss_text: 0.8454 loss_center: 2.8235 loss_reg_x: 1.1654 loss_reg_y: 1.2339 loss: 6.0683 2022/08/26 00:58:55 - mmengine - INFO - Epoch(train) [123][80/125] lr: 9.2645e-04 eta: 1 day, 3:05:05 time: 0.5128 data_time: 0.0169 memory: 9483 loss_text: 0.8287 loss_center: 2.8199 loss_reg_x: 1.2505 loss_reg_y: 1.1737 loss: 6.0728 2022/08/26 00:58:58 - mmengine - INFO - Epoch(train) [123][85/125] lr: 9.2645e-04 eta: 1 day, 3:05:05 time: 0.5546 data_time: 0.0135 memory: 9483 loss_text: 0.7867 loss_center: 2.7826 loss_reg_x: 1.2761 loss_reg_y: 1.0820 loss: 5.9274 2022/08/26 00:59:01 - mmengine - INFO - Epoch(train) [123][90/125] lr: 9.2645e-04 eta: 1 day, 3:05:01 time: 0.5862 data_time: 0.0124 memory: 9483 loss_text: 0.7191 loss_center: 2.7896 loss_reg_x: 1.2668 loss_reg_y: 1.2872 loss: 6.0627 2022/08/26 00:59:05 - mmengine - INFO - Epoch(train) [123][95/125] lr: 9.2645e-04 eta: 1 day, 3:05:01 time: 0.6882 data_time: 0.0404 memory: 9483 loss_text: 0.7963 loss_center: 2.8242 loss_reg_x: 1.2273 loss_reg_y: 1.2963 loss: 6.1441 2022/08/26 00:59:07 - mmengine - INFO - Epoch(train) [123][100/125] lr: 9.2645e-04 eta: 1 day, 3:05:05 time: 0.6463 data_time: 0.0414 memory: 9483 loss_text: 0.8004 loss_center: 2.8174 loss_reg_x: 1.0101 loss_reg_y: 1.0425 loss: 5.6705 2022/08/26 00:59:10 - mmengine - INFO - Epoch(train) [123][105/125] lr: 9.2645e-04 eta: 1 day, 3:05:05 time: 0.4891 data_time: 0.0134 memory: 9483 loss_text: 0.7721 loss_center: 2.8007 loss_reg_x: 0.9417 loss_reg_y: 1.0798 loss: 5.5943 2022/08/26 00:59:12 - mmengine - INFO - Epoch(train) [123][110/125] lr: 9.2645e-04 eta: 1 day, 3:04:49 time: 0.4787 data_time: 0.0125 memory: 9483 loss_text: 0.7992 loss_center: 2.7450 loss_reg_x: 0.9655 loss_reg_y: 1.1225 loss: 5.6322 2022/08/26 00:59:16 - mmengine - INFO - Epoch(train) [123][115/125] lr: 9.2645e-04 eta: 1 day, 3:04:49 time: 0.5776 data_time: 0.0184 memory: 9483 loss_text: 0.8515 loss_center: 2.7486 loss_reg_x: 1.0406 loss_reg_y: 1.1410 loss: 5.7817 2022/08/26 00:59:18 - mmengine - INFO - Epoch(train) [123][120/125] lr: 9.2645e-04 eta: 1 day, 3:04:45 time: 0.5820 data_time: 0.0190 memory: 9483 loss_text: 0.7466 loss_center: 2.7751 loss_reg_x: 1.0102 loss_reg_y: 1.0770 loss: 5.6089 2022/08/26 00:59:21 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 00:59:21 - mmengine - INFO - Epoch(train) [123][125/125] lr: 9.2645e-04 eta: 1 day, 3:04:45 time: 0.5122 data_time: 0.0141 memory: 9483 loss_text: 0.7630 loss_center: 2.7890 loss_reg_x: 1.1195 loss_reg_y: 1.1660 loss: 5.8375 2022/08/26 00:59:25 - mmengine - INFO - Epoch(train) [124][5/125] lr: 9.2585e-04 eta: 1 day, 3:04:45 time: 0.7289 data_time: 0.1191 memory: 9483 loss_text: 0.7826 loss_center: 2.8058 loss_reg_x: 1.1727 loss_reg_y: 1.0805 loss: 5.8416 2022/08/26 00:59:28 - mmengine - INFO - Epoch(train) [124][10/125] lr: 9.2585e-04 eta: 1 day, 3:04:20 time: 0.6994 data_time: 0.1199 memory: 9483 loss_text: 0.7414 loss_center: 2.7882 loss_reg_x: 1.1291 loss_reg_y: 1.0108 loss: 5.6695 2022/08/26 00:59:30 - mmengine - INFO - Epoch(train) [124][15/125] lr: 9.2585e-04 eta: 1 day, 3:04:20 time: 0.4988 data_time: 0.0150 memory: 9483 loss_text: 0.8361 loss_center: 2.7823 loss_reg_x: 1.2473 loss_reg_y: 1.1530 loss: 6.0188 2022/08/26 00:59:33 - mmengine - INFO - Epoch(train) [124][20/125] lr: 9.2585e-04 eta: 1 day, 3:04:16 time: 0.5844 data_time: 0.0129 memory: 9483 loss_text: 0.8344 loss_center: 2.7969 loss_reg_x: 1.2356 loss_reg_y: 1.2182 loss: 6.0851 2022/08/26 00:59:36 - mmengine - INFO - Epoch(train) [124][25/125] lr: 9.2585e-04 eta: 1 day, 3:04:16 time: 0.5628 data_time: 0.0122 memory: 9483 loss_text: 0.7773 loss_center: 2.7965 loss_reg_x: 1.0827 loss_reg_y: 1.1170 loss: 5.7734 2022/08/26 00:59:39 - mmengine - INFO - Epoch(train) [124][30/125] lr: 9.2585e-04 eta: 1 day, 3:04:05 time: 0.5133 data_time: 0.0159 memory: 9483 loss_text: 0.7279 loss_center: 2.7977 loss_reg_x: 1.0686 loss_reg_y: 1.1381 loss: 5.7323 2022/08/26 00:59:41 - mmengine - INFO - Epoch(train) [124][35/125] lr: 9.2585e-04 eta: 1 day, 3:04:05 time: 0.5359 data_time: 0.0208 memory: 9483 loss_text: 0.6813 loss_center: 2.7396 loss_reg_x: 0.9538 loss_reg_y: 1.0225 loss: 5.3972 2022/08/26 00:59:44 - mmengine - INFO - Epoch(train) [124][40/125] lr: 9.2585e-04 eta: 1 day, 3:04:00 time: 0.5780 data_time: 0.0182 memory: 9483 loss_text: 0.7034 loss_center: 2.7423 loss_reg_x: 0.9700 loss_reg_y: 1.0972 loss: 5.5130 2022/08/26 00:59:47 - mmengine - INFO - Epoch(train) [124][45/125] lr: 9.2585e-04 eta: 1 day, 3:04:00 time: 0.5315 data_time: 0.0127 memory: 9483 loss_text: 0.7064 loss_center: 2.8033 loss_reg_x: 0.8428 loss_reg_y: 0.9938 loss: 5.3463 2022/08/26 00:59:49 - mmengine - INFO - Epoch(train) [124][50/125] lr: 9.2585e-04 eta: 1 day, 3:03:46 time: 0.4915 data_time: 0.0146 memory: 9483 loss_text: 0.7531 loss_center: 2.7897 loss_reg_x: 0.8537 loss_reg_y: 0.7915 loss: 5.1881 2022/08/26 00:59:53 - mmengine - INFO - Epoch(train) [124][55/125] lr: 9.2585e-04 eta: 1 day, 3:03:46 time: 0.6434 data_time: 0.0199 memory: 9483 loss_text: 0.8139 loss_center: 2.8043 loss_reg_x: 1.0118 loss_reg_y: 0.9419 loss: 5.5719 2022/08/26 00:59:56 - mmengine - INFO - Epoch(train) [124][60/125] lr: 9.2585e-04 eta: 1 day, 3:03:50 time: 0.6538 data_time: 0.0185 memory: 9483 loss_text: 0.7985 loss_center: 2.7920 loss_reg_x: 0.8983 loss_reg_y: 0.9434 loss: 5.4321 2022/08/26 00:59:58 - mmengine - INFO - Epoch(train) [124][65/125] lr: 9.2585e-04 eta: 1 day, 3:03:50 time: 0.5316 data_time: 0.0137 memory: 9483 loss_text: 0.8233 loss_center: 2.8042 loss_reg_x: 1.0990 loss_reg_y: 1.0668 loss: 5.7932 2022/08/26 01:00:01 - mmengine - INFO - Epoch(train) [124][70/125] lr: 9.2585e-04 eta: 1 day, 3:03:36 time: 0.4865 data_time: 0.0141 memory: 9483 loss_text: 0.8782 loss_center: 2.8201 loss_reg_x: 1.3756 loss_reg_y: 1.1251 loss: 6.1991 2022/08/26 01:00:06 - mmengine - INFO - Epoch(train) [124][75/125] lr: 9.2585e-04 eta: 1 day, 3:03:36 time: 0.7326 data_time: 0.0428 memory: 9483 loss_text: 0.9321 loss_center: 2.8150 loss_reg_x: 1.4364 loss_reg_y: 1.2091 loss: 6.3927 2022/08/26 01:00:08 - mmengine - INFO - Epoch(train) [124][80/125] lr: 9.2585e-04 eta: 1 day, 3:03:52 time: 0.7601 data_time: 0.0410 memory: 9483 loss_text: 0.9414 loss_center: 2.8246 loss_reg_x: 1.4276 loss_reg_y: 1.3153 loss: 6.5088 2022/08/26 01:00:11 - mmengine - INFO - Epoch(train) [124][85/125] lr: 9.2585e-04 eta: 1 day, 3:03:52 time: 0.5365 data_time: 0.0125 memory: 9483 loss_text: 0.8311 loss_center: 2.8001 loss_reg_x: 1.1394 loss_reg_y: 1.0190 loss: 5.7896 2022/08/26 01:00:14 - mmengine - INFO - Epoch(train) [124][90/125] lr: 9.2585e-04 eta: 1 day, 3:03:42 time: 0.5267 data_time: 0.0148 memory: 9483 loss_text: 0.8005 loss_center: 2.7966 loss_reg_x: 1.0919 loss_reg_y: 0.9458 loss: 5.6347 2022/08/26 01:00:16 - mmengine - INFO - Epoch(train) [124][95/125] lr: 9.2585e-04 eta: 1 day, 3:03:42 time: 0.4919 data_time: 0.0158 memory: 9483 loss_text: 0.8660 loss_center: 2.8172 loss_reg_x: 1.2079 loss_reg_y: 1.0854 loss: 5.9765 2022/08/26 01:00:18 - mmengine - INFO - Epoch(train) [124][100/125] lr: 9.2585e-04 eta: 1 day, 3:03:27 time: 0.4854 data_time: 0.0136 memory: 9483 loss_text: 0.8782 loss_center: 2.8065 loss_reg_x: 1.1205 loss_reg_y: 1.1126 loss: 5.9178 2022/08/26 01:00:21 - mmengine - INFO - Epoch(train) [124][105/125] lr: 9.2585e-04 eta: 1 day, 3:03:27 time: 0.4784 data_time: 0.0130 memory: 9483 loss_text: 0.9406 loss_center: 2.8006 loss_reg_x: 1.1061 loss_reg_y: 1.1384 loss: 5.9856 2022/08/26 01:00:24 - mmengine - INFO - Epoch(train) [124][110/125] lr: 9.2585e-04 eta: 1 day, 3:03:25 time: 0.5972 data_time: 0.0162 memory: 9483 loss_text: 0.9103 loss_center: 2.7976 loss_reg_x: 1.3422 loss_reg_y: 1.1929 loss: 6.2431 2022/08/26 01:00:27 - mmengine - INFO - Epoch(train) [124][115/125] lr: 9.2585e-04 eta: 1 day, 3:03:25 time: 0.6253 data_time: 0.0187 memory: 9483 loss_text: 0.8459 loss_center: 2.8041 loss_reg_x: 1.4043 loss_reg_y: 1.1930 loss: 6.2473 2022/08/26 01:00:30 - mmengine - INFO - Epoch(train) [124][120/125] lr: 9.2585e-04 eta: 1 day, 3:03:13 time: 0.5148 data_time: 0.0159 memory: 9483 loss_text: 0.8200 loss_center: 2.8411 loss_reg_x: 1.1686 loss_reg_y: 1.1386 loss: 5.9684 2022/08/26 01:00:32 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:00:32 - mmengine - INFO - Epoch(train) [124][125/125] lr: 9.2585e-04 eta: 1 day, 3:03:13 time: 0.5031 data_time: 0.0140 memory: 9483 loss_text: 0.7607 loss_center: 2.8275 loss_reg_x: 1.0018 loss_reg_y: 0.9971 loss: 5.5871 2022/08/26 01:00:35 - mmengine - INFO - Epoch(train) [125][5/125] lr: 9.2524e-04 eta: 1 day, 3:03:13 time: 0.5782 data_time: 0.0893 memory: 9483 loss_text: 0.7404 loss_center: 2.7886 loss_reg_x: 0.9903 loss_reg_y: 0.9801 loss: 5.4993 2022/08/26 01:00:38 - mmengine - INFO - Epoch(train) [125][10/125] lr: 9.2524e-04 eta: 1 day, 3:02:36 time: 0.5877 data_time: 0.0923 memory: 9483 loss_text: 0.7168 loss_center: 2.7689 loss_reg_x: 1.0221 loss_reg_y: 1.0652 loss: 5.5731 2022/08/26 01:00:40 - mmengine - INFO - Epoch(train) [125][15/125] lr: 9.2524e-04 eta: 1 day, 3:02:36 time: 0.5042 data_time: 0.0156 memory: 9483 loss_text: 0.7305 loss_center: 2.7779 loss_reg_x: 1.0550 loss_reg_y: 1.2074 loss: 5.7708 2022/08/26 01:00:44 - mmengine - INFO - Epoch(train) [125][20/125] lr: 9.2524e-04 eta: 1 day, 3:02:32 time: 0.5821 data_time: 0.0374 memory: 9483 loss_text: 0.8168 loss_center: 2.7962 loss_reg_x: 0.9775 loss_reg_y: 1.1863 loss: 5.7768 2022/08/26 01:00:46 - mmengine - INFO - Epoch(train) [125][25/125] lr: 9.2524e-04 eta: 1 day, 3:02:32 time: 0.5952 data_time: 0.0436 memory: 9483 loss_text: 0.8128 loss_center: 2.7734 loss_reg_x: 0.9002 loss_reg_y: 0.9494 loss: 5.4359 2022/08/26 01:00:49 - mmengine - INFO - Epoch(train) [125][30/125] lr: 9.2524e-04 eta: 1 day, 3:02:19 time: 0.4969 data_time: 0.0205 memory: 9483 loss_text: 0.7513 loss_center: 2.7754 loss_reg_x: 0.8996 loss_reg_y: 0.8850 loss: 5.3112 2022/08/26 01:00:51 - mmengine - INFO - Epoch(train) [125][35/125] lr: 9.2524e-04 eta: 1 day, 3:02:19 time: 0.5037 data_time: 0.0146 memory: 9483 loss_text: 0.7355 loss_center: 2.7910 loss_reg_x: 0.7992 loss_reg_y: 0.8469 loss: 5.1726 2022/08/26 01:00:54 - mmengine - INFO - Epoch(train) [125][40/125] lr: 9.2524e-04 eta: 1 day, 3:02:08 time: 0.5174 data_time: 0.0121 memory: 9483 loss_text: 0.7298 loss_center: 2.8035 loss_reg_x: 0.9425 loss_reg_y: 1.1054 loss: 5.5812 2022/08/26 01:00:56 - mmengine - INFO - Epoch(train) [125][45/125] lr: 9.2524e-04 eta: 1 day, 3:02:08 time: 0.4869 data_time: 0.0141 memory: 9483 loss_text: 0.7993 loss_center: 2.8199 loss_reg_x: 1.0018 loss_reg_y: 1.1642 loss: 5.7852 2022/08/26 01:00:59 - mmengine - INFO - Epoch(train) [125][50/125] lr: 9.2524e-04 eta: 1 day, 3:01:56 time: 0.5084 data_time: 0.0138 memory: 9483 loss_text: 0.8315 loss_center: 2.7761 loss_reg_x: 0.9886 loss_reg_y: 0.9690 loss: 5.5652 2022/08/26 01:01:02 - mmengine - INFO - Epoch(train) [125][55/125] lr: 9.2524e-04 eta: 1 day, 3:01:56 time: 0.5289 data_time: 0.0157 memory: 9483 loss_text: 0.9270 loss_center: 2.7651 loss_reg_x: 1.0744 loss_reg_y: 1.1147 loss: 5.8813 2022/08/26 01:01:07 - mmengine - INFO - Epoch(train) [125][60/125] lr: 9.2524e-04 eta: 1 day, 3:02:20 time: 0.8338 data_time: 0.0172 memory: 9483 loss_text: 0.9715 loss_center: 2.8062 loss_reg_x: 1.0354 loss_reg_y: 1.0558 loss: 5.8689 2022/08/26 01:01:10 - mmengine - INFO - Epoch(train) [125][65/125] lr: 9.2524e-04 eta: 1 day, 3:02:20 time: 0.8307 data_time: 0.0143 memory: 9483 loss_text: 0.8648 loss_center: 2.8290 loss_reg_x: 1.0416 loss_reg_y: 0.9574 loss: 5.6928 2022/08/26 01:01:13 - mmengine - INFO - Epoch(train) [125][70/125] lr: 9.2524e-04 eta: 1 day, 3:02:10 time: 0.5280 data_time: 0.0204 memory: 9483 loss_text: 0.7822 loss_center: 2.8193 loss_reg_x: 1.0887 loss_reg_y: 1.0096 loss: 5.6997 2022/08/26 01:01:15 - mmengine - INFO - Epoch(train) [125][75/125] lr: 9.2524e-04 eta: 1 day, 3:02:10 time: 0.5055 data_time: 0.0200 memory: 9483 loss_text: 0.7212 loss_center: 2.7975 loss_reg_x: 0.9903 loss_reg_y: 0.9631 loss: 5.4721 2022/08/26 01:01:17 - mmengine - INFO - Epoch(train) [125][80/125] lr: 9.2524e-04 eta: 1 day, 3:01:55 time: 0.4849 data_time: 0.0133 memory: 9483 loss_text: 0.7207 loss_center: 2.7978 loss_reg_x: 0.9659 loss_reg_y: 1.0694 loss: 5.5539 2022/08/26 01:01:20 - mmengine - INFO - Epoch(train) [125][85/125] lr: 9.2524e-04 eta: 1 day, 3:01:55 time: 0.5114 data_time: 0.0141 memory: 9483 loss_text: 0.7180 loss_center: 2.7888 loss_reg_x: 0.8342 loss_reg_y: 1.0108 loss: 5.3518 2022/08/26 01:01:25 - mmengine - INFO - Epoch(train) [125][90/125] lr: 9.2524e-04 eta: 1 day, 3:02:11 time: 0.7578 data_time: 0.0161 memory: 9483 loss_text: 0.7591 loss_center: 2.8125 loss_reg_x: 0.9515 loss_reg_y: 0.9745 loss: 5.4976 2022/08/26 01:01:28 - mmengine - INFO - Epoch(train) [125][95/125] lr: 9.2524e-04 eta: 1 day, 3:02:11 time: 0.7647 data_time: 0.0165 memory: 9483 loss_text: 0.8053 loss_center: 2.8262 loss_reg_x: 1.1929 loss_reg_y: 1.1529 loss: 5.9773 2022/08/26 01:01:30 - mmengine - INFO - Epoch(train) [125][100/125] lr: 9.2524e-04 eta: 1 day, 3:02:02 time: 0.5371 data_time: 0.0140 memory: 9483 loss_text: 0.8004 loss_center: 2.7904 loss_reg_x: 1.0997 loss_reg_y: 0.9790 loss: 5.6694 2022/08/26 01:01:33 - mmengine - INFO - Epoch(train) [125][105/125] lr: 9.2524e-04 eta: 1 day, 3:02:02 time: 0.5283 data_time: 0.0163 memory: 9483 loss_text: 0.7954 loss_center: 2.7871 loss_reg_x: 0.9258 loss_reg_y: 0.7652 loss: 5.2736 2022/08/26 01:01:35 - mmengine - INFO - Epoch(train) [125][110/125] lr: 9.2524e-04 eta: 1 day, 3:01:47 time: 0.4852 data_time: 0.0193 memory: 9483 loss_text: 0.8393 loss_center: 2.8156 loss_reg_x: 0.8373 loss_reg_y: 0.9018 loss: 5.3940 2022/08/26 01:01:38 - mmengine - INFO - Epoch(train) [125][115/125] lr: 9.2524e-04 eta: 1 day, 3:01:47 time: 0.4996 data_time: 0.0154 memory: 9483 loss_text: 0.7390 loss_center: 2.7833 loss_reg_x: 0.8734 loss_reg_y: 0.9477 loss: 5.3435 2022/08/26 01:01:41 - mmengine - INFO - Epoch(train) [125][120/125] lr: 9.2524e-04 eta: 1 day, 3:01:39 time: 0.5411 data_time: 0.0150 memory: 9483 loss_text: 0.6569 loss_center: 2.7555 loss_reg_x: 0.8461 loss_reg_y: 0.8271 loss: 5.0855 2022/08/26 01:01:44 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:01:44 - mmengine - INFO - Epoch(train) [125][125/125] lr: 9.2524e-04 eta: 1 day, 3:01:39 time: 0.6025 data_time: 0.0173 memory: 9483 loss_text: 0.6968 loss_center: 2.7757 loss_reg_x: 0.8426 loss_reg_y: 0.7987 loss: 5.1138 2022/08/26 01:01:47 - mmengine - INFO - Epoch(train) [126][5/125] lr: 9.2463e-04 eta: 1 day, 3:01:39 time: 0.6640 data_time: 0.0885 memory: 9483 loss_text: 0.7551 loss_center: 2.7834 loss_reg_x: 0.9890 loss_reg_y: 1.0070 loss: 5.5345 2022/08/26 01:01:50 - mmengine - INFO - Epoch(train) [126][10/125] lr: 9.2463e-04 eta: 1 day, 3:01:01 time: 0.5802 data_time: 0.0851 memory: 9483 loss_text: 0.7993 loss_center: 2.7798 loss_reg_x: 1.1363 loss_reg_y: 1.1285 loss: 5.8439 2022/08/26 01:01:53 - mmengine - INFO - Epoch(train) [126][15/125] lr: 9.2463e-04 eta: 1 day, 3:01:01 time: 0.5186 data_time: 0.0131 memory: 9483 loss_text: 0.7097 loss_center: 2.7226 loss_reg_x: 0.9307 loss_reg_y: 0.8797 loss: 5.2427 2022/08/26 01:01:55 - mmengine - INFO - Epoch(train) [126][20/125] lr: 9.2463e-04 eta: 1 day, 3:00:52 time: 0.5401 data_time: 0.0163 memory: 9483 loss_text: 0.7692 loss_center: 2.7509 loss_reg_x: 0.9097 loss_reg_y: 0.8455 loss: 5.2752 2022/08/26 01:01:58 - mmengine - INFO - Epoch(train) [126][25/125] lr: 9.2463e-04 eta: 1 day, 3:00:52 time: 0.5279 data_time: 0.0143 memory: 9483 loss_text: 0.9226 loss_center: 2.8358 loss_reg_x: 1.0284 loss_reg_y: 0.9810 loss: 5.7679 2022/08/26 01:02:00 - mmengine - INFO - Epoch(train) [126][30/125] lr: 9.2463e-04 eta: 1 day, 3:00:40 time: 0.5064 data_time: 0.0143 memory: 9483 loss_text: 0.8190 loss_center: 2.8258 loss_reg_x: 0.8598 loss_reg_y: 0.8731 loss: 5.3777 2022/08/26 01:02:04 - mmengine - INFO - Epoch(train) [126][35/125] lr: 9.2463e-04 eta: 1 day, 3:00:40 time: 0.6513 data_time: 0.0162 memory: 9483 loss_text: 0.7056 loss_center: 2.7865 loss_reg_x: 0.8664 loss_reg_y: 0.8762 loss: 5.2347 2022/08/26 01:02:07 - mmengine - INFO - Epoch(train) [126][40/125] lr: 9.2463e-04 eta: 1 day, 3:00:44 time: 0.6582 data_time: 0.0195 memory: 9483 loss_text: 0.7710 loss_center: 2.7817 loss_reg_x: 0.9544 loss_reg_y: 1.1252 loss: 5.6324 2022/08/26 01:02:09 - mmengine - INFO - Epoch(train) [126][45/125] lr: 9.2463e-04 eta: 1 day, 3:00:44 time: 0.4995 data_time: 0.0177 memory: 9483 loss_text: 0.7255 loss_center: 2.7853 loss_reg_x: 0.8371 loss_reg_y: 0.9723 loss: 5.3202 2022/08/26 01:02:12 - mmengine - INFO - Epoch(train) [126][50/125] lr: 9.2463e-04 eta: 1 day, 3:00:31 time: 0.4978 data_time: 0.0122 memory: 9483 loss_text: 0.6425 loss_center: 2.7702 loss_reg_x: 0.9006 loss_reg_y: 0.7498 loss: 5.0631 2022/08/26 01:02:14 - mmengine - INFO - Epoch(train) [126][55/125] lr: 9.2463e-04 eta: 1 day, 3:00:31 time: 0.4901 data_time: 0.0129 memory: 9483 loss_text: 0.6980 loss_center: 2.7762 loss_reg_x: 1.1717 loss_reg_y: 0.9441 loss: 5.5900 2022/08/26 01:02:17 - mmengine - INFO - Epoch(train) [126][60/125] lr: 9.2463e-04 eta: 1 day, 3:00:18 time: 0.4935 data_time: 0.0137 memory: 9483 loss_text: 0.7548 loss_center: 2.8026 loss_reg_x: 1.1806 loss_reg_y: 1.0737 loss: 5.8117 2022/08/26 01:02:19 - mmengine - INFO - Epoch(train) [126][65/125] lr: 9.2463e-04 eta: 1 day, 3:00:18 time: 0.5081 data_time: 0.0152 memory: 9483 loss_text: 0.7621 loss_center: 2.8068 loss_reg_x: 1.0403 loss_reg_y: 1.0394 loss: 5.6486 2022/08/26 01:02:22 - mmengine - INFO - Epoch(train) [126][70/125] lr: 9.2463e-04 eta: 1 day, 3:00:08 time: 0.5244 data_time: 0.0188 memory: 9483 loss_text: 0.7454 loss_center: 2.7890 loss_reg_x: 1.0140 loss_reg_y: 0.9453 loss: 5.4936 2022/08/26 01:02:25 - mmengine - INFO - Epoch(train) [126][75/125] lr: 9.2463e-04 eta: 1 day, 3:00:08 time: 0.5672 data_time: 0.0385 memory: 9483 loss_text: 0.7928 loss_center: 2.7987 loss_reg_x: 1.0441 loss_reg_y: 0.9951 loss: 5.6307 2022/08/26 01:02:27 - mmengine - INFO - Epoch(train) [126][80/125] lr: 9.2463e-04 eta: 1 day, 2:59:57 time: 0.5245 data_time: 0.0348 memory: 9483 loss_text: 0.7976 loss_center: 2.8119 loss_reg_x: 1.0039 loss_reg_y: 1.0335 loss: 5.6469 2022/08/26 01:02:30 - mmengine - INFO - Epoch(train) [126][85/125] lr: 9.2463e-04 eta: 1 day, 2:59:57 time: 0.4776 data_time: 0.0154 memory: 9483 loss_text: 0.7027 loss_center: 2.7993 loss_reg_x: 0.9222 loss_reg_y: 0.8641 loss: 5.2884 2022/08/26 01:02:33 - mmengine - INFO - Epoch(train) [126][90/125] lr: 9.2463e-04 eta: 1 day, 2:59:47 time: 0.5242 data_time: 0.0175 memory: 9483 loss_text: 0.6743 loss_center: 2.7869 loss_reg_x: 0.8033 loss_reg_y: 0.7320 loss: 4.9965 2022/08/26 01:02:35 - mmengine - INFO - Epoch(train) [126][95/125] lr: 9.2463e-04 eta: 1 day, 2:59:47 time: 0.5346 data_time: 0.0159 memory: 9483 loss_text: 0.6940 loss_center: 2.8167 loss_reg_x: 0.8752 loss_reg_y: 0.8416 loss: 5.2275 2022/08/26 01:02:38 - mmengine - INFO - Epoch(train) [126][100/125] lr: 9.2463e-04 eta: 1 day, 2:59:36 time: 0.5133 data_time: 0.0137 memory: 9483 loss_text: 0.6660 loss_center: 2.8103 loss_reg_x: 0.9767 loss_reg_y: 0.9357 loss: 5.3887 2022/08/26 01:02:43 - mmengine - INFO - Epoch(train) [126][105/125] lr: 9.2463e-04 eta: 1 day, 2:59:36 time: 0.7767 data_time: 0.0174 memory: 9483 loss_text: 0.6677 loss_center: 2.7871 loss_reg_x: 1.1608 loss_reg_y: 1.0230 loss: 5.6385 2022/08/26 01:02:45 - mmengine - INFO - Epoch(train) [126][110/125] lr: 9.2463e-04 eta: 1 day, 2:59:51 time: 0.7586 data_time: 0.0189 memory: 9483 loss_text: 0.8136 loss_center: 2.7984 loss_reg_x: 1.2710 loss_reg_y: 1.0388 loss: 5.9217 2022/08/26 01:02:48 - mmengine - INFO - Epoch(train) [126][115/125] lr: 9.2463e-04 eta: 1 day, 2:59:51 time: 0.4800 data_time: 0.0146 memory: 9483 loss_text: 0.8608 loss_center: 2.8109 loss_reg_x: 1.1269 loss_reg_y: 0.9158 loss: 5.7145 2022/08/26 01:02:50 - mmengine - INFO - Epoch(train) [126][120/125] lr: 9.2463e-04 eta: 1 day, 2:59:39 time: 0.5068 data_time: 0.0170 memory: 9483 loss_text: 0.7821 loss_center: 2.8154 loss_reg_x: 1.0255 loss_reg_y: 0.9765 loss: 5.5995 2022/08/26 01:02:54 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:02:54 - mmengine - INFO - Epoch(train) [126][125/125] lr: 9.2463e-04 eta: 1 day, 2:59:39 time: 0.5934 data_time: 0.0386 memory: 9483 loss_text: 0.7593 loss_center: 2.7903 loss_reg_x: 0.9788 loss_reg_y: 1.0447 loss: 5.5731 2022/08/26 01:02:57 - mmengine - INFO - Epoch(train) [127][5/125] lr: 9.2403e-04 eta: 1 day, 2:59:39 time: 0.6455 data_time: 0.1083 memory: 9483 loss_text: 0.7466 loss_center: 2.7979 loss_reg_x: 0.9232 loss_reg_y: 0.9718 loss: 5.4395 2022/08/26 01:02:59 - mmengine - INFO - Epoch(train) [127][10/125] lr: 9.2403e-04 eta: 1 day, 2:59:01 time: 0.5730 data_time: 0.0866 memory: 9483 loss_text: 0.7649 loss_center: 2.8144 loss_reg_x: 0.8499 loss_reg_y: 1.0488 loss: 5.4780 2022/08/26 01:03:02 - mmengine - INFO - Epoch(train) [127][15/125] lr: 9.2403e-04 eta: 1 day, 2:59:01 time: 0.5042 data_time: 0.0155 memory: 9483 loss_text: 0.7046 loss_center: 2.7841 loss_reg_x: 0.8419 loss_reg_y: 1.0513 loss: 5.3819 2022/08/26 01:03:06 - mmengine - INFO - Epoch(train) [127][20/125] lr: 9.2403e-04 eta: 1 day, 2:59:02 time: 0.6275 data_time: 0.0188 memory: 9483 loss_text: 0.6258 loss_center: 2.7803 loss_reg_x: 0.7666 loss_reg_y: 0.8567 loss: 5.0293 2022/08/26 01:03:08 - mmengine - INFO - Epoch(train) [127][25/125] lr: 9.2403e-04 eta: 1 day, 2:59:02 time: 0.6449 data_time: 0.0181 memory: 9483 loss_text: 0.6793 loss_center: 2.7668 loss_reg_x: 0.7931 loss_reg_y: 0.7743 loss: 5.0135 2022/08/26 01:03:11 - mmengine - INFO - Epoch(train) [127][30/125] lr: 9.2403e-04 eta: 1 day, 2:58:53 time: 0.5423 data_time: 0.0146 memory: 9483 loss_text: 0.7016 loss_center: 2.7588 loss_reg_x: 0.9760 loss_reg_y: 0.8631 loss: 5.2995 2022/08/26 01:03:14 - mmengine - INFO - Epoch(train) [127][35/125] lr: 9.2403e-04 eta: 1 day, 2:58:53 time: 0.5400 data_time: 0.0207 memory: 9483 loss_text: 0.7506 loss_center: 2.7911 loss_reg_x: 0.9601 loss_reg_y: 0.9136 loss: 5.4154 2022/08/26 01:03:16 - mmengine - INFO - Epoch(train) [127][40/125] lr: 9.2403e-04 eta: 1 day, 2:58:43 time: 0.5172 data_time: 0.0215 memory: 9483 loss_text: 0.7216 loss_center: 2.7968 loss_reg_x: 0.8350 loss_reg_y: 0.8138 loss: 5.1672 2022/08/26 01:03:19 - mmengine - INFO - Epoch(train) [127][45/125] lr: 9.2403e-04 eta: 1 day, 2:58:43 time: 0.5019 data_time: 0.0154 memory: 9483 loss_text: 0.7770 loss_center: 2.7566 loss_reg_x: 0.9184 loss_reg_y: 0.8471 loss: 5.2991 2022/08/26 01:03:21 - mmengine - INFO - Epoch(train) [127][50/125] lr: 9.2403e-04 eta: 1 day, 2:58:29 time: 0.4884 data_time: 0.0148 memory: 9483 loss_text: 0.8461 loss_center: 2.7555 loss_reg_x: 1.0508 loss_reg_y: 1.0732 loss: 5.7256 2022/08/26 01:03:25 - mmengine - INFO - Epoch(train) [127][55/125] lr: 9.2403e-04 eta: 1 day, 2:58:29 time: 0.6502 data_time: 0.0155 memory: 9483 loss_text: 0.8118 loss_center: 2.7827 loss_reg_x: 1.0392 loss_reg_y: 1.1206 loss: 5.7543 2022/08/26 01:03:28 - mmengine - INFO - Epoch(train) [127][60/125] lr: 9.2403e-04 eta: 1 day, 2:58:33 time: 0.6587 data_time: 0.0158 memory: 9483 loss_text: 0.8270 loss_center: 2.7956 loss_reg_x: 1.1651 loss_reg_y: 1.1338 loss: 5.9215 2022/08/26 01:03:30 - mmengine - INFO - Epoch(train) [127][65/125] lr: 9.2403e-04 eta: 1 day, 2:58:33 time: 0.5195 data_time: 0.0159 memory: 9483 loss_text: 0.8834 loss_center: 2.8250 loss_reg_x: 1.3116 loss_reg_y: 1.2928 loss: 6.3127 2022/08/26 01:03:33 - mmengine - INFO - Epoch(train) [127][70/125] lr: 9.2403e-04 eta: 1 day, 2:58:26 time: 0.5580 data_time: 0.0322 memory: 9483 loss_text: 0.9416 loss_center: 2.8215 loss_reg_x: 1.2372 loss_reg_y: 1.4770 loss: 6.4773 2022/08/26 01:03:36 - mmengine - INFO - Epoch(train) [127][75/125] lr: 9.2403e-04 eta: 1 day, 2:58:26 time: 0.5540 data_time: 0.0323 memory: 9483 loss_text: 0.9141 loss_center: 2.8078 loss_reg_x: 1.0145 loss_reg_y: 1.4215 loss: 6.1580 2022/08/26 01:03:38 - mmengine - INFO - Epoch(train) [127][80/125] lr: 9.2403e-04 eta: 1 day, 2:58:15 time: 0.5134 data_time: 0.0166 memory: 9483 loss_text: 0.9986 loss_center: 2.8306 loss_reg_x: 1.1014 loss_reg_y: 1.3161 loss: 6.2468 2022/08/26 01:03:41 - mmengine - INFO - Epoch(train) [127][85/125] lr: 9.2403e-04 eta: 1 day, 2:58:15 time: 0.5219 data_time: 0.0168 memory: 9483 loss_text: 0.9764 loss_center: 2.8345 loss_reg_x: 1.3504 loss_reg_y: 1.3608 loss: 6.5222 2022/08/26 01:03:44 - mmengine - INFO - Epoch(train) [127][90/125] lr: 9.2403e-04 eta: 1 day, 2:58:10 time: 0.5700 data_time: 0.0165 memory: 9483 loss_text: 0.8004 loss_center: 2.8087 loss_reg_x: 1.0961 loss_reg_y: 1.1008 loss: 5.8060 2022/08/26 01:03:47 - mmengine - INFO - Epoch(train) [127][95/125] lr: 9.2403e-04 eta: 1 day, 2:58:10 time: 0.5824 data_time: 0.0158 memory: 9483 loss_text: 0.7349 loss_center: 2.8074 loss_reg_x: 0.9527 loss_reg_y: 0.9565 loss: 5.4516 2022/08/26 01:03:50 - mmengine - INFO - Epoch(train) [127][100/125] lr: 9.2403e-04 eta: 1 day, 2:58:03 time: 0.5531 data_time: 0.0154 memory: 9483 loss_text: 0.7440 loss_center: 2.7881 loss_reg_x: 0.9780 loss_reg_y: 0.8968 loss: 5.4070 2022/08/26 01:03:52 - mmengine - INFO - Epoch(train) [127][105/125] lr: 9.2403e-04 eta: 1 day, 2:58:03 time: 0.5251 data_time: 0.0156 memory: 9483 loss_text: 0.7553 loss_center: 2.7920 loss_reg_x: 1.0787 loss_reg_y: 0.9882 loss: 5.6141 2022/08/26 01:03:55 - mmengine - INFO - Epoch(train) [127][110/125] lr: 9.2403e-04 eta: 1 day, 2:57:58 time: 0.5726 data_time: 0.0165 memory: 9483 loss_text: 0.7685 loss_center: 2.8018 loss_reg_x: 1.1303 loss_reg_y: 1.0985 loss: 5.7991 2022/08/26 01:03:58 - mmengine - INFO - Epoch(train) [127][115/125] lr: 9.2403e-04 eta: 1 day, 2:57:58 time: 0.5706 data_time: 0.0172 memory: 9483 loss_text: 0.7969 loss_center: 2.7904 loss_reg_x: 1.0627 loss_reg_y: 1.0319 loss: 5.6819 2022/08/26 01:04:01 - mmengine - INFO - Epoch(train) [127][120/125] lr: 9.2403e-04 eta: 1 day, 2:57:49 time: 0.5322 data_time: 0.0165 memory: 9483 loss_text: 0.7720 loss_center: 2.7972 loss_reg_x: 1.0216 loss_reg_y: 1.0064 loss: 5.5972 2022/08/26 01:04:05 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:04:05 - mmengine - INFO - Epoch(train) [127][125/125] lr: 9.2403e-04 eta: 1 day, 2:57:49 time: 0.7212 data_time: 0.0160 memory: 9483 loss_text: 0.7331 loss_center: 2.7949 loss_reg_x: 0.9589 loss_reg_y: 0.9148 loss: 5.4018 2022/08/26 01:04:09 - mmengine - INFO - Epoch(train) [128][5/125] lr: 9.2342e-04 eta: 1 day, 2:57:49 time: 0.7969 data_time: 0.0844 memory: 9483 loss_text: 0.7337 loss_center: 2.7874 loss_reg_x: 1.0439 loss_reg_y: 0.9178 loss: 5.4828 2022/08/26 01:04:12 - mmengine - INFO - Epoch(train) [128][10/125] lr: 9.2342e-04 eta: 1 day, 2:57:17 time: 0.6332 data_time: 0.0844 memory: 9483 loss_text: 0.7381 loss_center: 2.7708 loss_reg_x: 1.1027 loss_reg_y: 0.9443 loss: 5.5559 2022/08/26 01:04:15 - mmengine - INFO - Epoch(train) [128][15/125] lr: 9.2342e-04 eta: 1 day, 2:57:17 time: 0.5794 data_time: 0.0187 memory: 9483 loss_text: 0.6974 loss_center: 2.7582 loss_reg_x: 0.9553 loss_reg_y: 0.8084 loss: 5.2192 2022/08/26 01:04:17 - mmengine - INFO - Epoch(train) [128][20/125] lr: 9.2342e-04 eta: 1 day, 2:57:10 time: 0.5508 data_time: 0.0163 memory: 9483 loss_text: 0.8152 loss_center: 2.7887 loss_reg_x: 0.9353 loss_reg_y: 0.9718 loss: 5.5109 2022/08/26 01:04:20 - mmengine - INFO - Epoch(train) [128][25/125] lr: 9.2342e-04 eta: 1 day, 2:57:10 time: 0.5002 data_time: 0.0139 memory: 9483 loss_text: 0.9077 loss_center: 2.8293 loss_reg_x: 1.2841 loss_reg_y: 1.2754 loss: 6.2965 2022/08/26 01:04:22 - mmengine - INFO - Epoch(train) [128][30/125] lr: 9.2342e-04 eta: 1 day, 2:56:57 time: 0.4957 data_time: 0.0153 memory: 9483 loss_text: 0.8305 loss_center: 2.8301 loss_reg_x: 1.2935 loss_reg_y: 1.0835 loss: 6.0376 2022/08/26 01:04:25 - mmengine - INFO - Epoch(train) [128][35/125] lr: 9.2342e-04 eta: 1 day, 2:56:57 time: 0.5600 data_time: 0.0225 memory: 9483 loss_text: 0.7956 loss_center: 2.8082 loss_reg_x: 1.0782 loss_reg_y: 0.9281 loss: 5.6102 2022/08/26 01:04:28 - mmengine - INFO - Epoch(train) [128][40/125] lr: 9.2342e-04 eta: 1 day, 2:56:53 time: 0.5844 data_time: 0.0206 memory: 9483 loss_text: 0.7704 loss_center: 2.7881 loss_reg_x: 1.0409 loss_reg_y: 0.9841 loss: 5.5835 2022/08/26 01:04:30 - mmengine - INFO - Epoch(train) [128][45/125] lr: 9.2342e-04 eta: 1 day, 2:56:53 time: 0.5205 data_time: 0.0130 memory: 9483 loss_text: 0.7874 loss_center: 2.8036 loss_reg_x: 1.1211 loss_reg_y: 1.1701 loss: 5.8822 2022/08/26 01:04:35 - mmengine - INFO - Epoch(train) [128][50/125] lr: 9.2342e-04 eta: 1 day, 2:57:02 time: 0.7003 data_time: 0.0150 memory: 9483 loss_text: 0.7558 loss_center: 2.8072 loss_reg_x: 0.9992 loss_reg_y: 1.1026 loss: 5.6649 2022/08/26 01:04:38 - mmengine - INFO - Epoch(train) [128][55/125] lr: 9.2342e-04 eta: 1 day, 2:57:02 time: 0.7323 data_time: 0.0222 memory: 9483 loss_text: 0.7618 loss_center: 2.7895 loss_reg_x: 0.9833 loss_reg_y: 1.0445 loss: 5.5791 2022/08/26 01:04:40 - mmengine - INFO - Epoch(train) [128][60/125] lr: 9.2342e-04 eta: 1 day, 2:56:54 time: 0.5446 data_time: 0.0205 memory: 9483 loss_text: 0.8086 loss_center: 2.8006 loss_reg_x: 0.9701 loss_reg_y: 1.0281 loss: 5.6074 2022/08/26 01:04:43 - mmengine - INFO - Epoch(train) [128][65/125] lr: 9.2342e-04 eta: 1 day, 2:56:54 time: 0.5645 data_time: 0.0146 memory: 9483 loss_text: 0.8376 loss_center: 2.7978 loss_reg_x: 0.9006 loss_reg_y: 0.9262 loss: 5.4621 2022/08/26 01:04:46 - mmengine - INFO - Epoch(train) [128][70/125] lr: 9.2342e-04 eta: 1 day, 2:56:46 time: 0.5450 data_time: 0.0167 memory: 9483 loss_text: 0.8918 loss_center: 2.8168 loss_reg_x: 1.1132 loss_reg_y: 1.1343 loss: 5.9561 2022/08/26 01:04:48 - mmengine - INFO - Epoch(train) [128][75/125] lr: 9.2342e-04 eta: 1 day, 2:56:46 time: 0.4902 data_time: 0.0155 memory: 9483 loss_text: 0.8120 loss_center: 2.8209 loss_reg_x: 0.9520 loss_reg_y: 1.0568 loss: 5.6417 2022/08/26 01:04:51 - mmengine - INFO - Epoch(train) [128][80/125] lr: 9.2342e-04 eta: 1 day, 2:56:32 time: 0.4868 data_time: 0.0125 memory: 9483 loss_text: 0.7557 loss_center: 2.8086 loss_reg_x: 0.9221 loss_reg_y: 1.0936 loss: 5.5800 2022/08/26 01:04:56 - mmengine - INFO - Epoch(train) [128][85/125] lr: 9.2342e-04 eta: 1 day, 2:56:32 time: 0.7373 data_time: 0.0296 memory: 9483 loss_text: 0.8591 loss_center: 2.8358 loss_reg_x: 1.1530 loss_reg_y: 1.1206 loss: 5.9685 2022/08/26 01:04:59 - mmengine - INFO - Epoch(train) [128][90/125] lr: 9.2342e-04 eta: 1 day, 2:56:53 time: 0.8086 data_time: 0.0686 memory: 9483 loss_text: 0.7847 loss_center: 2.8020 loss_reg_x: 1.0344 loss_reg_y: 0.8722 loss: 5.4933 2022/08/26 01:05:01 - mmengine - INFO - Epoch(train) [128][95/125] lr: 9.2342e-04 eta: 1 day, 2:56:53 time: 0.5435 data_time: 0.0519 memory: 9483 loss_text: 0.7185 loss_center: 2.7823 loss_reg_x: 0.9232 loss_reg_y: 0.8996 loss: 5.3237 2022/08/26 01:05:04 - mmengine - INFO - Epoch(train) [128][100/125] lr: 9.2342e-04 eta: 1 day, 2:56:41 time: 0.5071 data_time: 0.0144 memory: 9483 loss_text: 0.7491 loss_center: 2.7912 loss_reg_x: 0.9127 loss_reg_y: 0.8802 loss: 5.3332 2022/08/26 01:05:06 - mmengine - INFO - Epoch(train) [128][105/125] lr: 9.2342e-04 eta: 1 day, 2:56:41 time: 0.5252 data_time: 0.0141 memory: 9483 loss_text: 0.7523 loss_center: 2.7903 loss_reg_x: 0.8746 loss_reg_y: 0.9047 loss: 5.3219 2022/08/26 01:05:09 - mmengine - INFO - Epoch(train) [128][110/125] lr: 9.2342e-04 eta: 1 day, 2:56:29 time: 0.5138 data_time: 0.0156 memory: 9483 loss_text: 0.7935 loss_center: 2.7997 loss_reg_x: 0.9170 loss_reg_y: 0.8536 loss: 5.3638 2022/08/26 01:05:11 - mmengine - INFO - Epoch(train) [128][115/125] lr: 9.2342e-04 eta: 1 day, 2:56:29 time: 0.5037 data_time: 0.0160 memory: 9483 loss_text: 0.7219 loss_center: 2.7873 loss_reg_x: 0.8376 loss_reg_y: 0.7237 loss: 5.0705 2022/08/26 01:05:17 - mmengine - INFO - Epoch(train) [128][120/125] lr: 9.2342e-04 eta: 1 day, 2:56:52 time: 0.8276 data_time: 0.0131 memory: 9483 loss_text: 0.6933 loss_center: 2.7903 loss_reg_x: 0.8312 loss_reg_y: 0.7958 loss: 5.1105 2022/08/26 01:05:19 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:05:19 - mmengine - INFO - Epoch(train) [128][125/125] lr: 9.2342e-04 eta: 1 day, 2:56:52 time: 0.8121 data_time: 0.0142 memory: 9483 loss_text: 0.7832 loss_center: 2.8043 loss_reg_x: 1.0268 loss_reg_y: 0.9754 loss: 5.5896 2022/08/26 01:05:23 - mmengine - INFO - Epoch(train) [129][5/125] lr: 9.2282e-04 eta: 1 day, 2:56:52 time: 0.5363 data_time: 0.0855 memory: 9483 loss_text: 0.7857 loss_center: 2.8134 loss_reg_x: 0.9772 loss_reg_y: 1.0705 loss: 5.6468 2022/08/26 01:05:25 - mmengine - INFO - Epoch(train) [129][10/125] lr: 9.2282e-04 eta: 1 day, 2:56:12 time: 0.5565 data_time: 0.0833 memory: 9483 loss_text: 0.6787 loss_center: 2.7766 loss_reg_x: 0.7499 loss_reg_y: 0.9022 loss: 5.1074 2022/08/26 01:05:27 - mmengine - INFO - Epoch(train) [129][15/125] lr: 9.2282e-04 eta: 1 day, 2:56:12 time: 0.4834 data_time: 0.0118 memory: 9483 loss_text: 0.6330 loss_center: 2.7727 loss_reg_x: 0.8499 loss_reg_y: 1.0328 loss: 5.2884 2022/08/26 01:05:30 - mmengine - INFO - Epoch(train) [129][20/125] lr: 9.2282e-04 eta: 1 day, 2:56:01 time: 0.5105 data_time: 0.0144 memory: 9483 loss_text: 0.6578 loss_center: 2.8061 loss_reg_x: 0.9104 loss_reg_y: 1.0705 loss: 5.4448 2022/08/26 01:05:35 - mmengine - INFO - Epoch(train) [129][25/125] lr: 9.2282e-04 eta: 1 day, 2:56:01 time: 0.7532 data_time: 0.0150 memory: 9483 loss_text: 0.8009 loss_center: 2.8140 loss_reg_x: 0.9862 loss_reg_y: 0.9517 loss: 5.5527 2022/08/26 01:05:38 - mmengine - INFO - Epoch(train) [129][30/125] lr: 9.2282e-04 eta: 1 day, 2:56:16 time: 0.7602 data_time: 0.0144 memory: 9483 loss_text: 0.8354 loss_center: 2.8200 loss_reg_x: 0.9961 loss_reg_y: 1.0449 loss: 5.6963 2022/08/26 01:05:40 - mmengine - INFO - Epoch(train) [129][35/125] lr: 9.2282e-04 eta: 1 day, 2:56:16 time: 0.5393 data_time: 0.0157 memory: 9483 loss_text: 0.7856 loss_center: 2.8061 loss_reg_x: 0.9606 loss_reg_y: 1.0913 loss: 5.6436 2022/08/26 01:05:43 - mmengine - INFO - Epoch(train) [129][40/125] lr: 9.2282e-04 eta: 1 day, 2:56:08 time: 0.5419 data_time: 0.0142 memory: 9483 loss_text: 0.7848 loss_center: 2.7884 loss_reg_x: 1.0668 loss_reg_y: 1.0362 loss: 5.6763 2022/08/26 01:05:46 - mmengine - INFO - Epoch(train) [129][45/125] lr: 9.2282e-04 eta: 1 day, 2:56:08 time: 0.5493 data_time: 0.0127 memory: 9483 loss_text: 0.7631 loss_center: 2.7917 loss_reg_x: 1.0928 loss_reg_y: 0.8696 loss: 5.5172 2022/08/26 01:05:48 - mmengine - INFO - Epoch(train) [129][50/125] lr: 9.2282e-04 eta: 1 day, 2:55:58 time: 0.5247 data_time: 0.0128 memory: 9483 loss_text: 0.7757 loss_center: 2.7965 loss_reg_x: 1.0117 loss_reg_y: 0.8079 loss: 5.3919 2022/08/26 01:05:51 - mmengine - INFO - Epoch(train) [129][55/125] lr: 9.2282e-04 eta: 1 day, 2:55:58 time: 0.4980 data_time: 0.0153 memory: 9483 loss_text: 0.8625 loss_center: 2.7996 loss_reg_x: 0.9215 loss_reg_y: 1.0176 loss: 5.6014 2022/08/26 01:05:55 - mmengine - INFO - Epoch(train) [129][60/125] lr: 9.2282e-04 eta: 1 day, 2:56:03 time: 0.6715 data_time: 0.0282 memory: 9483 loss_text: 0.8485 loss_center: 2.8236 loss_reg_x: 1.0212 loss_reg_y: 1.1477 loss: 5.8410 2022/08/26 01:05:58 - mmengine - INFO - Epoch(train) [129][65/125] lr: 9.2282e-04 eta: 1 day, 2:56:03 time: 0.7521 data_time: 0.0269 memory: 9483 loss_text: 0.7419 loss_center: 2.8212 loss_reg_x: 1.1363 loss_reg_y: 1.3996 loss: 6.0990 2022/08/26 01:06:01 - mmengine - INFO - Epoch(train) [129][70/125] lr: 9.2282e-04 eta: 1 day, 2:55:59 time: 0.5807 data_time: 0.0149 memory: 9483 loss_text: 0.7820 loss_center: 2.8039 loss_reg_x: 1.2868 loss_reg_y: 1.3881 loss: 6.2607 2022/08/26 01:06:04 - mmengine - INFO - Epoch(train) [129][75/125] lr: 9.2282e-04 eta: 1 day, 2:55:59 time: 0.5185 data_time: 0.0185 memory: 9483 loss_text: 0.7643 loss_center: 2.7927 loss_reg_x: 1.1507 loss_reg_y: 1.0006 loss: 5.7084 2022/08/26 01:06:06 - mmengine - INFO - Epoch(train) [129][80/125] lr: 9.2282e-04 eta: 1 day, 2:55:50 time: 0.5309 data_time: 0.0175 memory: 9483 loss_text: 0.6807 loss_center: 2.7843 loss_reg_x: 0.8881 loss_reg_y: 0.9376 loss: 5.2908 2022/08/26 01:06:09 - mmengine - INFO - Epoch(train) [129][85/125] lr: 9.2282e-04 eta: 1 day, 2:55:50 time: 0.5201 data_time: 0.0128 memory: 9483 loss_text: 0.7054 loss_center: 2.8045 loss_reg_x: 0.8363 loss_reg_y: 0.8801 loss: 5.2265 2022/08/26 01:06:12 - mmengine - INFO - Epoch(train) [129][90/125] lr: 9.2282e-04 eta: 1 day, 2:55:40 time: 0.5294 data_time: 0.0142 memory: 9483 loss_text: 0.7844 loss_center: 2.8087 loss_reg_x: 0.8707 loss_reg_y: 0.8973 loss: 5.3612 2022/08/26 01:06:16 - mmengine - INFO - Epoch(train) [129][95/125] lr: 9.2282e-04 eta: 1 day, 2:55:40 time: 0.7446 data_time: 0.0210 memory: 9483 loss_text: 0.7477 loss_center: 2.7949 loss_reg_x: 0.8188 loss_reg_y: 0.8298 loss: 5.1911 2022/08/26 01:06:19 - mmengine - INFO - Epoch(train) [129][100/125] lr: 9.2282e-04 eta: 1 day, 2:55:51 time: 0.7183 data_time: 0.0202 memory: 9483 loss_text: 0.7275 loss_center: 2.7816 loss_reg_x: 0.8502 loss_reg_y: 0.8587 loss: 5.2180 2022/08/26 01:06:21 - mmengine - INFO - Epoch(train) [129][105/125] lr: 9.2282e-04 eta: 1 day, 2:55:51 time: 0.4880 data_time: 0.0145 memory: 9483 loss_text: 0.7219 loss_center: 2.7639 loss_reg_x: 0.9012 loss_reg_y: 0.9185 loss: 5.3056 2022/08/26 01:06:23 - mmengine - INFO - Epoch(train) [129][110/125] lr: 9.2282e-04 eta: 1 day, 2:55:34 time: 0.4619 data_time: 0.0151 memory: 9483 loss_text: 0.8455 loss_center: 2.7780 loss_reg_x: 1.0039 loss_reg_y: 0.8353 loss: 5.4627 2022/08/26 01:06:26 - mmengine - INFO - Epoch(train) [129][115/125] lr: 9.2282e-04 eta: 1 day, 2:55:34 time: 0.4787 data_time: 0.0165 memory: 9483 loss_text: 0.9182 loss_center: 2.8095 loss_reg_x: 1.0869 loss_reg_y: 1.0135 loss: 5.8282 2022/08/26 01:06:29 - mmengine - INFO - Epoch(train) [129][120/125] lr: 9.2282e-04 eta: 1 day, 2:55:26 time: 0.5406 data_time: 0.0165 memory: 9483 loss_text: 0.7826 loss_center: 2.8008 loss_reg_x: 1.0058 loss_reg_y: 0.9921 loss: 5.5813 2022/08/26 01:06:31 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:06:31 - mmengine - INFO - Epoch(train) [129][125/125] lr: 9.2282e-04 eta: 1 day, 2:55:26 time: 0.5434 data_time: 0.0158 memory: 9483 loss_text: 0.8018 loss_center: 2.7779 loss_reg_x: 1.1430 loss_reg_y: 1.0778 loss: 5.8004 2022/08/26 01:06:37 - mmengine - INFO - Epoch(train) [130][5/125] lr: 9.2221e-04 eta: 1 day, 2:55:26 time: 0.7961 data_time: 0.0848 memory: 9483 loss_text: 0.8261 loss_center: 2.7988 loss_reg_x: 1.1307 loss_reg_y: 1.1733 loss: 5.9289 2022/08/26 01:06:39 - mmengine - INFO - Epoch(train) [130][10/125] lr: 9.2221e-04 eta: 1 day, 2:55:12 time: 0.7971 data_time: 0.0831 memory: 9483 loss_text: 0.8539 loss_center: 2.8214 loss_reg_x: 0.9788 loss_reg_y: 0.9785 loss: 5.6327 2022/08/26 01:06:42 - mmengine - INFO - Epoch(train) [130][15/125] lr: 9.2221e-04 eta: 1 day, 2:55:12 time: 0.5150 data_time: 0.0165 memory: 9483 loss_text: 0.8814 loss_center: 2.8169 loss_reg_x: 0.9807 loss_reg_y: 0.9743 loss: 5.6533 2022/08/26 01:06:45 - mmengine - INFO - Epoch(train) [130][20/125] lr: 9.2221e-04 eta: 1 day, 2:55:07 time: 0.5675 data_time: 0.0168 memory: 9483 loss_text: 0.7741 loss_center: 2.8051 loss_reg_x: 1.0056 loss_reg_y: 0.9475 loss: 5.5323 2022/08/26 01:06:47 - mmengine - INFO - Epoch(train) [130][25/125] lr: 9.2221e-04 eta: 1 day, 2:55:07 time: 0.5553 data_time: 0.0137 memory: 9483 loss_text: 0.7215 loss_center: 2.7991 loss_reg_x: 0.9911 loss_reg_y: 0.8896 loss: 5.4013 2022/08/26 01:06:50 - mmengine - INFO - Epoch(train) [130][30/125] lr: 9.2221e-04 eta: 1 day, 2:54:55 time: 0.5106 data_time: 0.0152 memory: 9483 loss_text: 0.6714 loss_center: 2.7928 loss_reg_x: 0.8842 loss_reg_y: 1.0435 loss: 5.3918 2022/08/26 01:06:53 - mmengine - INFO - Epoch(train) [130][35/125] lr: 9.2221e-04 eta: 1 day, 2:54:55 time: 0.5405 data_time: 0.0190 memory: 9483 loss_text: 0.6592 loss_center: 2.7836 loss_reg_x: 0.8279 loss_reg_y: 1.0516 loss: 5.3223 2022/08/26 01:06:56 - mmengine - INFO - Epoch(train) [130][40/125] lr: 9.2221e-04 eta: 1 day, 2:54:52 time: 0.5920 data_time: 0.0467 memory: 9483 loss_text: 0.6472 loss_center: 2.7739 loss_reg_x: 0.8593 loss_reg_y: 0.9071 loss: 5.1874 2022/08/26 01:06:59 - mmengine - INFO - Epoch(train) [130][45/125] lr: 9.2221e-04 eta: 1 day, 2:54:52 time: 0.5662 data_time: 0.0457 memory: 9483 loss_text: 0.6672 loss_center: 2.7710 loss_reg_x: 0.8920 loss_reg_y: 0.9276 loss: 5.2577 2022/08/26 01:07:01 - mmengine - INFO - Epoch(train) [130][50/125] lr: 9.2221e-04 eta: 1 day, 2:54:41 time: 0.5154 data_time: 0.0175 memory: 9483 loss_text: 0.7005 loss_center: 2.7709 loss_reg_x: 0.7838 loss_reg_y: 0.8406 loss: 5.0957 2022/08/26 01:07:05 - mmengine - INFO - Epoch(train) [130][55/125] lr: 9.2221e-04 eta: 1 day, 2:54:41 time: 0.6067 data_time: 0.0143 memory: 9483 loss_text: 0.6676 loss_center: 2.7773 loss_reg_x: 0.7181 loss_reg_y: 0.7832 loss: 4.9462 2022/08/26 01:07:07 - mmengine - INFO - Epoch(train) [130][60/125] lr: 9.2221e-04 eta: 1 day, 2:54:40 time: 0.6058 data_time: 0.0142 memory: 9483 loss_text: 0.6965 loss_center: 2.7902 loss_reg_x: 0.9443 loss_reg_y: 1.0286 loss: 5.4596 2022/08/26 01:07:10 - mmengine - INFO - Epoch(train) [130][65/125] lr: 9.2221e-04 eta: 1 day, 2:54:40 time: 0.5004 data_time: 0.0142 memory: 9483 loss_text: 0.7476 loss_center: 2.8133 loss_reg_x: 1.1336 loss_reg_y: 1.2650 loss: 5.9594 2022/08/26 01:07:12 - mmengine - INFO - Epoch(train) [130][70/125] lr: 9.2221e-04 eta: 1 day, 2:54:25 time: 0.4825 data_time: 0.0167 memory: 9483 loss_text: 0.7046 loss_center: 2.7982 loss_reg_x: 0.9849 loss_reg_y: 1.0421 loss: 5.5299 2022/08/26 01:07:15 - mmengine - INFO - Epoch(train) [130][75/125] lr: 9.2221e-04 eta: 1 day, 2:54:25 time: 0.5809 data_time: 0.0205 memory: 9483 loss_text: 0.6607 loss_center: 2.7745 loss_reg_x: 0.9183 loss_reg_y: 0.8396 loss: 5.1932 2022/08/26 01:07:18 - mmengine - INFO - Epoch(train) [130][80/125] lr: 9.2221e-04 eta: 1 day, 2:54:21 time: 0.5821 data_time: 0.0168 memory: 9483 loss_text: 0.7026 loss_center: 2.7991 loss_reg_x: 1.0695 loss_reg_y: 0.9144 loss: 5.4856 2022/08/26 01:07:21 - mmengine - INFO - Epoch(train) [130][85/125] lr: 9.2221e-04 eta: 1 day, 2:54:21 time: 0.5088 data_time: 0.0129 memory: 9483 loss_text: 0.6248 loss_center: 2.8028 loss_reg_x: 0.9589 loss_reg_y: 0.9266 loss: 5.3131 2022/08/26 01:07:24 - mmengine - INFO - Epoch(train) [130][90/125] lr: 9.2221e-04 eta: 1 day, 2:54:15 time: 0.5604 data_time: 0.0148 memory: 9483 loss_text: 0.5979 loss_center: 2.7964 loss_reg_x: 0.9278 loss_reg_y: 1.0037 loss: 5.3258 2022/08/26 01:07:26 - mmengine - INFO - Epoch(train) [130][95/125] lr: 9.2221e-04 eta: 1 day, 2:54:15 time: 0.5716 data_time: 0.0152 memory: 9483 loss_text: 0.7062 loss_center: 2.7981 loss_reg_x: 1.0543 loss_reg_y: 1.1526 loss: 5.7112 2022/08/26 01:07:28 - mmengine - INFO - Epoch(train) [130][100/125] lr: 9.2221e-04 eta: 1 day, 2:54:03 time: 0.4994 data_time: 0.0132 memory: 9483 loss_text: 0.7185 loss_center: 2.8055 loss_reg_x: 0.9432 loss_reg_y: 1.0716 loss: 5.5387 2022/08/26 01:07:31 - mmengine - INFO - Epoch(train) [130][105/125] lr: 9.2221e-04 eta: 1 day, 2:54:03 time: 0.4891 data_time: 0.0132 memory: 9483 loss_text: 0.7151 loss_center: 2.8022 loss_reg_x: 0.9289 loss_reg_y: 1.0475 loss: 5.4937 2022/08/26 01:07:35 - mmengine - INFO - Epoch(train) [130][110/125] lr: 9.2221e-04 eta: 1 day, 2:54:08 time: 0.6736 data_time: 0.0233 memory: 9483 loss_text: 0.7123 loss_center: 2.7944 loss_reg_x: 0.9692 loss_reg_y: 1.0073 loss: 5.4833 2022/08/26 01:07:38 - mmengine - INFO - Epoch(train) [130][115/125] lr: 9.2221e-04 eta: 1 day, 2:54:08 time: 0.6580 data_time: 0.0229 memory: 9483 loss_text: 0.7238 loss_center: 2.7835 loss_reg_x: 0.9053 loss_reg_y: 0.9835 loss: 5.3961 2022/08/26 01:07:40 - mmengine - INFO - Epoch(train) [130][120/125] lr: 9.2221e-04 eta: 1 day, 2:53:55 time: 0.4929 data_time: 0.0124 memory: 9483 loss_text: 0.7694 loss_center: 2.7822 loss_reg_x: 0.8475 loss_reg_y: 0.9907 loss: 5.3897 2022/08/26 01:07:43 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:07:43 - mmengine - INFO - Epoch(train) [130][125/125] lr: 9.2221e-04 eta: 1 day, 2:53:55 time: 0.4849 data_time: 0.0126 memory: 9483 loss_text: 0.7485 loss_center: 2.7828 loss_reg_x: 0.8719 loss_reg_y: 0.8078 loss: 5.2111 2022/08/26 01:07:46 - mmengine - INFO - Epoch(train) [131][5/125] lr: 9.2161e-04 eta: 1 day, 2:53:55 time: 0.5748 data_time: 0.1150 memory: 9483 loss_text: 0.7384 loss_center: 2.7814 loss_reg_x: 0.9342 loss_reg_y: 0.8114 loss: 5.2654 2022/08/26 01:07:49 - mmengine - INFO - Epoch(train) [131][10/125] lr: 9.2161e-04 eta: 1 day, 2:53:22 time: 0.6121 data_time: 0.1162 memory: 9483 loss_text: 0.7113 loss_center: 2.7737 loss_reg_x: 0.9241 loss_reg_y: 0.9499 loss: 5.3590 2022/08/26 01:07:51 - mmengine - INFO - Epoch(train) [131][15/125] lr: 9.2161e-04 eta: 1 day, 2:53:22 time: 0.5115 data_time: 0.0126 memory: 9483 loss_text: 0.7129 loss_center: 2.7821 loss_reg_x: 0.9136 loss_reg_y: 0.9096 loss: 5.3183 2022/08/26 01:07:57 - mmengine - INFO - Epoch(train) [131][20/125] lr: 9.2161e-04 eta: 1 day, 2:53:47 time: 0.8606 data_time: 0.0130 memory: 9483 loss_text: 0.7404 loss_center: 2.7991 loss_reg_x: 0.8932 loss_reg_y: 0.7771 loss: 5.2099 2022/08/26 01:08:00 - mmengine - INFO - Epoch(train) [131][25/125] lr: 9.2161e-04 eta: 1 day, 2:53:47 time: 0.8905 data_time: 0.0182 memory: 9483 loss_text: 0.8042 loss_center: 2.7874 loss_reg_x: 1.1247 loss_reg_y: 0.9854 loss: 5.7017 2022/08/26 01:08:02 - mmengine - INFO - Epoch(train) [131][30/125] lr: 9.2161e-04 eta: 1 day, 2:53:36 time: 0.5161 data_time: 0.0164 memory: 9483 loss_text: 0.7723 loss_center: 2.7322 loss_reg_x: 1.0459 loss_reg_y: 1.1075 loss: 5.6578 2022/08/26 01:08:05 - mmengine - INFO - Epoch(train) [131][35/125] lr: 9.2161e-04 eta: 1 day, 2:53:36 time: 0.4878 data_time: 0.0127 memory: 9483 loss_text: 0.6907 loss_center: 2.7441 loss_reg_x: 0.8908 loss_reg_y: 1.0139 loss: 5.3394 2022/08/26 01:08:07 - mmengine - INFO - Epoch(train) [131][40/125] lr: 9.2161e-04 eta: 1 day, 2:53:23 time: 0.4911 data_time: 0.0135 memory: 9483 loss_text: 0.6798 loss_center: 2.7875 loss_reg_x: 0.9506 loss_reg_y: 0.8955 loss: 5.3134 2022/08/26 01:08:10 - mmengine - INFO - Epoch(train) [131][45/125] lr: 9.2161e-04 eta: 1 day, 2:53:23 time: 0.5487 data_time: 0.0152 memory: 9483 loss_text: 0.6532 loss_center: 2.7712 loss_reg_x: 0.9319 loss_reg_y: 0.8595 loss: 5.2157 2022/08/26 01:08:14 - mmengine - INFO - Epoch(train) [131][50/125] lr: 9.2161e-04 eta: 1 day, 2:53:21 time: 0.6033 data_time: 0.0148 memory: 9483 loss_text: 0.6970 loss_center: 2.7888 loss_reg_x: 0.9699 loss_reg_y: 0.9501 loss: 5.4060 2022/08/26 01:08:17 - mmengine - INFO - Epoch(train) [131][55/125] lr: 9.2161e-04 eta: 1 day, 2:53:21 time: 0.7000 data_time: 0.0474 memory: 9483 loss_text: 0.7468 loss_center: 2.7830 loss_reg_x: 0.9193 loss_reg_y: 0.8468 loss: 5.2959 2022/08/26 01:08:20 - mmengine - INFO - Epoch(train) [131][60/125] lr: 9.2161e-04 eta: 1 day, 2:53:25 time: 0.6559 data_time: 0.0495 memory: 9483 loss_text: 0.7373 loss_center: 2.7738 loss_reg_x: 0.8343 loss_reg_y: 0.7443 loss: 5.0898 2022/08/26 01:08:23 - mmengine - INFO - Epoch(train) [131][65/125] lr: 9.2161e-04 eta: 1 day, 2:53:25 time: 0.5210 data_time: 0.0171 memory: 9483 loss_text: 0.7989 loss_center: 2.7911 loss_reg_x: 0.9845 loss_reg_y: 0.9201 loss: 5.4945 2022/08/26 01:08:26 - mmengine - INFO - Epoch(train) [131][70/125] lr: 9.2161e-04 eta: 1 day, 2:53:19 time: 0.5600 data_time: 0.0151 memory: 9483 loss_text: 0.8081 loss_center: 2.7939 loss_reg_x: 1.0154 loss_reg_y: 0.9777 loss: 5.5951 2022/08/26 01:08:28 - mmengine - INFO - Epoch(train) [131][75/125] lr: 9.2161e-04 eta: 1 day, 2:53:19 time: 0.5573 data_time: 0.0154 memory: 9483 loss_text: 0.7361 loss_center: 2.7884 loss_reg_x: 0.9101 loss_reg_y: 0.8237 loss: 5.2583 2022/08/26 01:08:31 - mmengine - INFO - Epoch(train) [131][80/125] lr: 9.2161e-04 eta: 1 day, 2:53:09 time: 0.5251 data_time: 0.0200 memory: 9483 loss_text: 0.7586 loss_center: 2.7911 loss_reg_x: 1.1124 loss_reg_y: 0.8549 loss: 5.5169 2022/08/26 01:08:36 - mmengine - INFO - Epoch(train) [131][85/125] lr: 9.2161e-04 eta: 1 day, 2:53:09 time: 0.8297 data_time: 0.0337 memory: 9483 loss_text: 0.6916 loss_center: 2.7964 loss_reg_x: 1.0308 loss_reg_y: 0.8173 loss: 5.3361 2022/08/26 01:08:39 - mmengine - INFO - Epoch(train) [131][90/125] lr: 9.2161e-04 eta: 1 day, 2:53:32 time: 0.8421 data_time: 0.0322 memory: 9483 loss_text: 0.7233 loss_center: 2.7930 loss_reg_x: 0.8525 loss_reg_y: 0.7692 loss: 5.1381 2022/08/26 01:08:42 - mmengine - INFO - Epoch(train) [131][95/125] lr: 9.2161e-04 eta: 1 day, 2:53:32 time: 0.5454 data_time: 0.0218 memory: 9483 loss_text: 0.8115 loss_center: 2.7839 loss_reg_x: 0.9094 loss_reg_y: 0.8289 loss: 5.3337 2022/08/26 01:08:44 - mmengine - INFO - Epoch(train) [131][100/125] lr: 9.2161e-04 eta: 1 day, 2:53:21 time: 0.5119 data_time: 0.0231 memory: 9483 loss_text: 0.7384 loss_center: 2.7821 loss_reg_x: 1.0406 loss_reg_y: 0.9161 loss: 5.4773 2022/08/26 01:08:47 - mmengine - INFO - Epoch(train) [131][105/125] lr: 9.2161e-04 eta: 1 day, 2:53:21 time: 0.4911 data_time: 0.0183 memory: 9483 loss_text: 0.7111 loss_center: 2.8045 loss_reg_x: 1.1143 loss_reg_y: 1.1364 loss: 5.7664 2022/08/26 01:08:49 - mmengine - INFO - Epoch(train) [131][110/125] lr: 9.2161e-04 eta: 1 day, 2:53:07 time: 0.4849 data_time: 0.0139 memory: 9483 loss_text: 0.7658 loss_center: 2.8314 loss_reg_x: 1.1468 loss_reg_y: 1.2293 loss: 5.9733 2022/08/26 01:08:52 - mmengine - INFO - Epoch(train) [131][115/125] lr: 9.2161e-04 eta: 1 day, 2:53:07 time: 0.4780 data_time: 0.0131 memory: 9483 loss_text: 0.8531 loss_center: 2.8301 loss_reg_x: 1.1610 loss_reg_y: 1.0866 loss: 5.9308 2022/08/26 01:08:58 - mmengine - INFO - Epoch(train) [131][120/125] lr: 9.2161e-04 eta: 1 day, 2:53:30 time: 0.8417 data_time: 0.0294 memory: 9483 loss_text: 0.8558 loss_center: 2.7940 loss_reg_x: 1.0396 loss_reg_y: 0.9790 loss: 5.6683 2022/08/26 01:09:00 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:09:00 - mmengine - INFO - Epoch(train) [131][125/125] lr: 9.2161e-04 eta: 1 day, 2:53:30 time: 0.8611 data_time: 0.0315 memory: 9483 loss_text: 0.7805 loss_center: 2.7823 loss_reg_x: 1.1265 loss_reg_y: 1.1791 loss: 5.8685 2022/08/26 01:09:03 - mmengine - INFO - Epoch(train) [132][5/125] lr: 9.2100e-04 eta: 1 day, 2:53:30 time: 0.5472 data_time: 0.0950 memory: 9483 loss_text: 0.7721 loss_center: 2.8075 loss_reg_x: 1.2878 loss_reg_y: 1.2216 loss: 6.0890 2022/08/26 01:09:06 - mmengine - INFO - Epoch(train) [132][10/125] lr: 9.2100e-04 eta: 1 day, 2:52:51 time: 0.5592 data_time: 0.0938 memory: 9483 loss_text: 0.7742 loss_center: 2.8047 loss_reg_x: 1.2014 loss_reg_y: 1.0845 loss: 5.8649 2022/08/26 01:09:09 - mmengine - INFO - Epoch(train) [132][15/125] lr: 9.2100e-04 eta: 1 day, 2:52:51 time: 0.5369 data_time: 0.0134 memory: 9483 loss_text: 0.8047 loss_center: 2.7807 loss_reg_x: 1.1206 loss_reg_y: 0.9948 loss: 5.7009 2022/08/26 01:09:11 - mmengine - INFO - Epoch(train) [132][20/125] lr: 9.2100e-04 eta: 1 day, 2:52:42 time: 0.5271 data_time: 0.0142 memory: 9483 loss_text: 0.8227 loss_center: 2.7890 loss_reg_x: 1.0218 loss_reg_y: 0.8051 loss: 5.4386 2022/08/26 01:09:17 - mmengine - INFO - Epoch(train) [132][25/125] lr: 9.2100e-04 eta: 1 day, 2:52:42 time: 0.8365 data_time: 0.0173 memory: 9483 loss_text: 0.7690 loss_center: 2.7893 loss_reg_x: 0.9468 loss_reg_y: 0.8017 loss: 5.3068 2022/08/26 01:09:20 - mmengine - INFO - Epoch(train) [132][30/125] lr: 9.2100e-04 eta: 1 day, 2:53:06 time: 0.8507 data_time: 0.0296 memory: 9483 loss_text: 0.6781 loss_center: 2.7632 loss_reg_x: 0.9284 loss_reg_y: 0.8388 loss: 5.2085 2022/08/26 01:09:22 - mmengine - INFO - Epoch(train) [132][35/125] lr: 9.2100e-04 eta: 1 day, 2:53:06 time: 0.5377 data_time: 0.0295 memory: 9483 loss_text: 0.6824 loss_center: 2.7648 loss_reg_x: 0.9126 loss_reg_y: 0.8239 loss: 5.1836 2022/08/26 01:09:25 - mmengine - INFO - Epoch(train) [132][40/125] lr: 9.2100e-04 eta: 1 day, 2:52:59 time: 0.5530 data_time: 0.0161 memory: 9483 loss_text: 0.7239 loss_center: 2.7706 loss_reg_x: 0.8953 loss_reg_y: 0.7602 loss: 5.1500 2022/08/26 01:09:28 - mmengine - INFO - Epoch(train) [132][45/125] lr: 9.2100e-04 eta: 1 day, 2:52:59 time: 0.5385 data_time: 0.0138 memory: 9483 loss_text: 0.7724 loss_center: 2.7937 loss_reg_x: 0.9880 loss_reg_y: 0.8709 loss: 5.4250 2022/08/26 01:09:30 - mmengine - INFO - Epoch(train) [132][50/125] lr: 9.2100e-04 eta: 1 day, 2:52:47 time: 0.5016 data_time: 0.0128 memory: 9483 loss_text: 0.7847 loss_center: 2.8178 loss_reg_x: 1.0553 loss_reg_y: 0.9838 loss: 5.6416 2022/08/26 01:09:33 - mmengine - INFO - Epoch(train) [132][55/125] lr: 9.2100e-04 eta: 1 day, 2:52:47 time: 0.5042 data_time: 0.0148 memory: 9483 loss_text: 0.7513 loss_center: 2.8093 loss_reg_x: 1.0893 loss_reg_y: 1.0539 loss: 5.7039 2022/08/26 01:09:37 - mmengine - INFO - Epoch(train) [132][60/125] lr: 9.2100e-04 eta: 1 day, 2:52:55 time: 0.7040 data_time: 0.0156 memory: 9483 loss_text: 0.7691 loss_center: 2.7950 loss_reg_x: 1.2113 loss_reg_y: 1.1390 loss: 5.9143 2022/08/26 01:09:40 - mmengine - INFO - Epoch(train) [132][65/125] lr: 9.2100e-04 eta: 1 day, 2:52:55 time: 0.7053 data_time: 0.0134 memory: 9483 loss_text: 0.7803 loss_center: 2.7999 loss_reg_x: 1.0306 loss_reg_y: 0.9840 loss: 5.5949 2022/08/26 01:09:42 - mmengine - INFO - Epoch(train) [132][70/125] lr: 9.2100e-04 eta: 1 day, 2:52:46 time: 0.5293 data_time: 0.0133 memory: 9483 loss_text: 0.7828 loss_center: 2.7928 loss_reg_x: 0.8113 loss_reg_y: 0.8479 loss: 5.2348 2022/08/26 01:09:45 - mmengine - INFO - Epoch(train) [132][75/125] lr: 9.2100e-04 eta: 1 day, 2:52:46 time: 0.5180 data_time: 0.0149 memory: 9483 loss_text: 0.7231 loss_center: 2.7701 loss_reg_x: 0.7683 loss_reg_y: 0.7743 loss: 5.0358 2022/08/26 01:09:47 - mmengine - INFO - Epoch(train) [132][80/125] lr: 9.2100e-04 eta: 1 day, 2:52:33 time: 0.4970 data_time: 0.0148 memory: 9483 loss_text: 0.7063 loss_center: 2.7748 loss_reg_x: 0.8185 loss_reg_y: 0.8583 loss: 5.1579 2022/08/26 01:09:50 - mmengine - INFO - Epoch(train) [132][85/125] lr: 9.2100e-04 eta: 1 day, 2:52:33 time: 0.4842 data_time: 0.0129 memory: 9483 loss_text: 0.7368 loss_center: 2.8027 loss_reg_x: 1.0224 loss_reg_y: 1.1427 loss: 5.7045 2022/08/26 01:09:52 - mmengine - INFO - Epoch(train) [132][90/125] lr: 9.2100e-04 eta: 1 day, 2:52:19 time: 0.4886 data_time: 0.0132 memory: 9483 loss_text: 0.7517 loss_center: 2.8164 loss_reg_x: 1.0114 loss_reg_y: 1.0958 loss: 5.6754 2022/08/26 01:09:58 - mmengine - INFO - Epoch(train) [132][95/125] lr: 9.2100e-04 eta: 1 day, 2:52:19 time: 0.8014 data_time: 0.0225 memory: 9483 loss_text: 0.8143 loss_center: 2.8168 loss_reg_x: 1.0321 loss_reg_y: 1.1029 loss: 5.7660 2022/08/26 01:10:00 - mmengine - INFO - Epoch(train) [132][100/125] lr: 9.2100e-04 eta: 1 day, 2:52:37 time: 0.7855 data_time: 0.0256 memory: 9483 loss_text: 0.8660 loss_center: 2.8299 loss_reg_x: 1.1135 loss_reg_y: 1.1931 loss: 6.0026 2022/08/26 01:10:03 - mmengine - INFO - Epoch(train) [132][105/125] lr: 9.2100e-04 eta: 1 day, 2:52:37 time: 0.4788 data_time: 0.0167 memory: 9483 loss_text: 0.8258 loss_center: 2.8297 loss_reg_x: 0.9941 loss_reg_y: 1.1559 loss: 5.8054 2022/08/26 01:10:05 - mmengine - INFO - Epoch(train) [132][110/125] lr: 9.2100e-04 eta: 1 day, 2:52:25 time: 0.5098 data_time: 0.0178 memory: 9483 loss_text: 0.8021 loss_center: 2.7953 loss_reg_x: 1.1538 loss_reg_y: 1.1429 loss: 5.8941 2022/08/26 01:10:08 - mmengine - INFO - Epoch(train) [132][115/125] lr: 9.2100e-04 eta: 1 day, 2:52:25 time: 0.5248 data_time: 0.0174 memory: 9483 loss_text: 0.8065 loss_center: 2.7809 loss_reg_x: 1.1457 loss_reg_y: 0.9309 loss: 5.6641 2022/08/26 01:10:10 - mmengine - INFO - Epoch(train) [132][120/125] lr: 9.2100e-04 eta: 1 day, 2:52:14 time: 0.5105 data_time: 0.0147 memory: 9483 loss_text: 0.8259 loss_center: 2.8028 loss_reg_x: 0.9541 loss_reg_y: 0.8057 loss: 5.3886 2022/08/26 01:10:13 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:10:13 - mmengine - INFO - Epoch(train) [132][125/125] lr: 9.2100e-04 eta: 1 day, 2:52:14 time: 0.5205 data_time: 0.0169 memory: 9483 loss_text: 0.8402 loss_center: 2.8022 loss_reg_x: 1.0173 loss_reg_y: 0.8919 loss: 5.5516 2022/08/26 01:10:18 - mmengine - INFO - Epoch(train) [133][5/125] lr: 9.2039e-04 eta: 1 day, 2:52:14 time: 0.7067 data_time: 0.1370 memory: 9483 loss_text: 0.8311 loss_center: 2.7879 loss_reg_x: 1.0470 loss_reg_y: 0.9531 loss: 5.6191 2022/08/26 01:10:21 - mmengine - INFO - Epoch(train) [133][10/125] lr: 9.2039e-04 eta: 1 day, 2:51:49 time: 0.6901 data_time: 0.1366 memory: 9483 loss_text: 0.8132 loss_center: 2.8022 loss_reg_x: 1.0338 loss_reg_y: 1.1017 loss: 5.7509 2022/08/26 01:10:24 - mmengine - INFO - Epoch(train) [133][15/125] lr: 9.2039e-04 eta: 1 day, 2:51:49 time: 0.5410 data_time: 0.0156 memory: 9483 loss_text: 0.7521 loss_center: 2.8055 loss_reg_x: 1.1540 loss_reg_y: 1.2978 loss: 6.0094 2022/08/26 01:10:26 - mmengine - INFO - Epoch(train) [133][20/125] lr: 9.2039e-04 eta: 1 day, 2:51:40 time: 0.5366 data_time: 0.0175 memory: 9483 loss_text: 0.7760 loss_center: 2.7718 loss_reg_x: 1.1217 loss_reg_y: 1.3056 loss: 5.9751 2022/08/26 01:10:29 - mmengine - INFO - Epoch(train) [133][25/125] lr: 9.2039e-04 eta: 1 day, 2:51:40 time: 0.4846 data_time: 0.0171 memory: 9483 loss_text: 0.8665 loss_center: 2.7892 loss_reg_x: 0.9716 loss_reg_y: 1.1829 loss: 5.8102 2022/08/26 01:10:31 - mmengine - INFO - Epoch(train) [133][30/125] lr: 9.2039e-04 eta: 1 day, 2:51:28 time: 0.5022 data_time: 0.0162 memory: 9483 loss_text: 0.7518 loss_center: 2.8057 loss_reg_x: 0.9386 loss_reg_y: 0.9902 loss: 5.4862 2022/08/26 01:10:37 - mmengine - INFO - Epoch(train) [133][35/125] lr: 9.2039e-04 eta: 1 day, 2:51:28 time: 0.8375 data_time: 0.0687 memory: 9483 loss_text: 0.7143 loss_center: 2.7921 loss_reg_x: 0.9979 loss_reg_y: 1.0323 loss: 5.5366 2022/08/26 01:10:40 - mmengine - INFO - Epoch(train) [133][40/125] lr: 9.2039e-04 eta: 1 day, 2:51:51 time: 0.8388 data_time: 0.0716 memory: 9483 loss_text: 0.7430 loss_center: 2.7771 loss_reg_x: 1.0079 loss_reg_y: 1.0936 loss: 5.6217 2022/08/26 01:10:42 - mmengine - INFO - Epoch(train) [133][45/125] lr: 9.2039e-04 eta: 1 day, 2:51:51 time: 0.5151 data_time: 0.0202 memory: 9483 loss_text: 0.6486 loss_center: 2.7788 loss_reg_x: 0.8796 loss_reg_y: 1.0182 loss: 5.3251 2022/08/26 01:10:45 - mmengine - INFO - Epoch(train) [133][50/125] lr: 9.2039e-04 eta: 1 day, 2:51:38 time: 0.5037 data_time: 0.0145 memory: 9483 loss_text: 0.6685 loss_center: 2.7897 loss_reg_x: 0.9075 loss_reg_y: 0.9561 loss: 5.3218 2022/08/26 01:10:47 - mmengine - INFO - Epoch(train) [133][55/125] lr: 9.2039e-04 eta: 1 day, 2:51:38 time: 0.4913 data_time: 0.0122 memory: 9483 loss_text: 0.6905 loss_center: 2.7952 loss_reg_x: 1.0173 loss_reg_y: 1.0710 loss: 5.5740 2022/08/26 01:10:50 - mmengine - INFO - Epoch(train) [133][60/125] lr: 9.2039e-04 eta: 1 day, 2:51:27 time: 0.5111 data_time: 0.0165 memory: 9483 loss_text: 0.6683 loss_center: 2.7904 loss_reg_x: 1.0651 loss_reg_y: 1.1124 loss: 5.6362 2022/08/26 01:10:52 - mmengine - INFO - Epoch(train) [133][65/125] lr: 9.2039e-04 eta: 1 day, 2:51:27 time: 0.5183 data_time: 0.0195 memory: 9483 loss_text: 0.6616 loss_center: 2.7890 loss_reg_x: 1.1333 loss_reg_y: 1.0344 loss: 5.6183 2022/08/26 01:10:58 - mmengine - INFO - Epoch(train) [133][70/125] lr: 9.2039e-04 eta: 1 day, 2:51:45 time: 0.7942 data_time: 0.0524 memory: 9483 loss_text: 0.6909 loss_center: 2.8096 loss_reg_x: 1.1143 loss_reg_y: 1.0432 loss: 5.6580 2022/08/26 01:11:00 - mmengine - INFO - Epoch(train) [133][75/125] lr: 9.2039e-04 eta: 1 day, 2:51:45 time: 0.7938 data_time: 0.0493 memory: 9483 loss_text: 0.7986 loss_center: 2.8134 loss_reg_x: 1.0567 loss_reg_y: 0.9913 loss: 5.6600 2022/08/26 01:11:03 - mmengine - INFO - Epoch(train) [133][80/125] lr: 9.2039e-04 eta: 1 day, 2:51:32 time: 0.4927 data_time: 0.0159 memory: 9483 loss_text: 0.8374 loss_center: 2.8036 loss_reg_x: 1.0344 loss_reg_y: 0.9759 loss: 5.6513 2022/08/26 01:11:05 - mmengine - INFO - Epoch(train) [133][85/125] lr: 9.2039e-04 eta: 1 day, 2:51:32 time: 0.4958 data_time: 0.0181 memory: 9483 loss_text: 0.8558 loss_center: 2.7931 loss_reg_x: 1.0634 loss_reg_y: 1.0954 loss: 5.8077 2022/08/26 01:11:08 - mmengine - INFO - Epoch(train) [133][90/125] lr: 9.2039e-04 eta: 1 day, 2:51:19 time: 0.4991 data_time: 0.0160 memory: 9483 loss_text: 0.8704 loss_center: 2.8178 loss_reg_x: 1.2213 loss_reg_y: 1.2596 loss: 6.1691 2022/08/26 01:11:10 - mmengine - INFO - Epoch(train) [133][95/125] lr: 9.2039e-04 eta: 1 day, 2:51:19 time: 0.5000 data_time: 0.0165 memory: 9483 loss_text: 0.8318 loss_center: 2.8215 loss_reg_x: 1.1378 loss_reg_y: 1.1190 loss: 5.9100 2022/08/26 01:11:12 - mmengine - INFO - Epoch(train) [133][100/125] lr: 9.2039e-04 eta: 1 day, 2:51:05 time: 0.4833 data_time: 0.0156 memory: 9483 loss_text: 0.9103 loss_center: 2.7716 loss_reg_x: 0.9791 loss_reg_y: 1.0819 loss: 5.7429 2022/08/26 01:11:16 - mmengine - INFO - Epoch(train) [133][105/125] lr: 9.2039e-04 eta: 1 day, 2:51:05 time: 0.5566 data_time: 0.0293 memory: 9483 loss_text: 0.8925 loss_center: 2.7710 loss_reg_x: 1.0208 loss_reg_y: 1.1403 loss: 5.8246 2022/08/26 01:11:18 - mmengine - INFO - Epoch(train) [133][110/125] lr: 9.2039e-04 eta: 1 day, 2:51:01 time: 0.5750 data_time: 0.0286 memory: 9483 loss_text: 0.8252 loss_center: 2.7958 loss_reg_x: 1.0056 loss_reg_y: 0.9022 loss: 5.5288 2022/08/26 01:11:21 - mmengine - INFO - Epoch(train) [133][115/125] lr: 9.2039e-04 eta: 1 day, 2:51:01 time: 0.5075 data_time: 0.0126 memory: 9483 loss_text: 0.8215 loss_center: 2.7907 loss_reg_x: 1.1838 loss_reg_y: 0.9380 loss: 5.7341 2022/08/26 01:11:23 - mmengine - INFO - Epoch(train) [133][120/125] lr: 9.2039e-04 eta: 1 day, 2:50:48 time: 0.5031 data_time: 0.0130 memory: 9483 loss_text: 0.7709 loss_center: 2.7932 loss_reg_x: 1.2487 loss_reg_y: 1.0179 loss: 5.8308 2022/08/26 01:11:26 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:11:26 - mmengine - INFO - Epoch(train) [133][125/125] lr: 9.2039e-04 eta: 1 day, 2:50:48 time: 0.5057 data_time: 0.0204 memory: 9483 loss_text: 0.7585 loss_center: 2.7943 loss_reg_x: 1.0989 loss_reg_y: 0.9873 loss: 5.6390 2022/08/26 01:11:29 - mmengine - INFO - Epoch(train) [134][5/125] lr: 9.1979e-04 eta: 1 day, 2:50:48 time: 0.6008 data_time: 0.0789 memory: 9483 loss_text: 0.7605 loss_center: 2.7796 loss_reg_x: 0.9859 loss_reg_y: 0.9219 loss: 5.4479 2022/08/26 01:11:32 - mmengine - INFO - Epoch(train) [134][10/125] lr: 9.1979e-04 eta: 1 day, 2:50:13 time: 0.5885 data_time: 0.0710 memory: 9483 loss_text: 0.7284 loss_center: 2.7718 loss_reg_x: 0.8018 loss_reg_y: 0.8240 loss: 5.1259 2022/08/26 01:11:37 - mmengine - INFO - Epoch(train) [134][15/125] lr: 9.1979e-04 eta: 1 day, 2:50:13 time: 0.7449 data_time: 0.0185 memory: 9483 loss_text: 0.7133 loss_center: 2.7325 loss_reg_x: 0.9612 loss_reg_y: 1.1119 loss: 5.5189 2022/08/26 01:11:39 - mmengine - INFO - Epoch(train) [134][20/125] lr: 9.1979e-04 eta: 1 day, 2:50:26 time: 0.7480 data_time: 0.0290 memory: 9483 loss_text: 0.8027 loss_center: 2.7428 loss_reg_x: 1.0646 loss_reg_y: 1.2079 loss: 5.8179 2022/08/26 01:11:42 - mmengine - INFO - Epoch(train) [134][25/125] lr: 9.1979e-04 eta: 1 day, 2:50:26 time: 0.4993 data_time: 0.0236 memory: 9483 loss_text: 0.8439 loss_center: 2.8086 loss_reg_x: 0.9354 loss_reg_y: 0.9850 loss: 5.5728 2022/08/26 01:11:44 - mmengine - INFO - Epoch(train) [134][30/125] lr: 9.1979e-04 eta: 1 day, 2:50:13 time: 0.4952 data_time: 0.0135 memory: 9483 loss_text: 0.7427 loss_center: 2.8191 loss_reg_x: 0.9386 loss_reg_y: 0.9152 loss: 5.4156 2022/08/26 01:11:47 - mmengine - INFO - Epoch(train) [134][35/125] lr: 9.1979e-04 eta: 1 day, 2:50:13 time: 0.4868 data_time: 0.0144 memory: 9483 loss_text: 0.6769 loss_center: 2.7979 loss_reg_x: 0.8596 loss_reg_y: 0.8566 loss: 5.1909 2022/08/26 01:11:49 - mmengine - INFO - Epoch(train) [134][40/125] lr: 9.1979e-04 eta: 1 day, 2:50:01 time: 0.4971 data_time: 0.0141 memory: 9483 loss_text: 0.7389 loss_center: 2.7907 loss_reg_x: 0.8845 loss_reg_y: 0.8775 loss: 5.2916 2022/08/26 01:11:52 - mmengine - INFO - Epoch(train) [134][45/125] lr: 9.1979e-04 eta: 1 day, 2:50:01 time: 0.5247 data_time: 0.0165 memory: 9483 loss_text: 0.7466 loss_center: 2.8034 loss_reg_x: 1.0853 loss_reg_y: 1.0459 loss: 5.6813 2022/08/26 01:11:55 - mmengine - INFO - Epoch(train) [134][50/125] lr: 9.1979e-04 eta: 1 day, 2:49:56 time: 0.5703 data_time: 0.0166 memory: 9483 loss_text: 0.6764 loss_center: 2.7860 loss_reg_x: 0.9430 loss_reg_y: 0.9449 loss: 5.3504 2022/08/26 01:11:58 - mmengine - INFO - Epoch(train) [134][55/125] lr: 9.1979e-04 eta: 1 day, 2:49:56 time: 0.5835 data_time: 0.0250 memory: 9483 loss_text: 0.7196 loss_center: 2.7847 loss_reg_x: 0.9458 loss_reg_y: 0.8691 loss: 5.3191 2022/08/26 01:12:00 - mmengine - INFO - Epoch(train) [134][60/125] lr: 9.1979e-04 eta: 1 day, 2:49:45 time: 0.5145 data_time: 0.0247 memory: 9483 loss_text: 0.7400 loss_center: 2.8144 loss_reg_x: 0.9875 loss_reg_y: 0.9412 loss: 5.4832 2022/08/26 01:12:03 - mmengine - INFO - Epoch(train) [134][65/125] lr: 9.1979e-04 eta: 1 day, 2:49:45 time: 0.5012 data_time: 0.0156 memory: 9483 loss_text: 0.7235 loss_center: 2.7729 loss_reg_x: 0.8372 loss_reg_y: 0.9239 loss: 5.2575 2022/08/26 01:12:05 - mmengine - INFO - Epoch(train) [134][70/125] lr: 9.1979e-04 eta: 1 day, 2:49:36 time: 0.5350 data_time: 0.0257 memory: 9483 loss_text: 0.7619 loss_center: 2.7432 loss_reg_x: 0.9122 loss_reg_y: 0.9046 loss: 5.3219 2022/08/26 01:12:08 - mmengine - INFO - Epoch(train) [134][75/125] lr: 9.1979e-04 eta: 1 day, 2:49:36 time: 0.5069 data_time: 0.0224 memory: 9483 loss_text: 0.7723 loss_center: 2.7895 loss_reg_x: 0.9230 loss_reg_y: 0.7946 loss: 5.2794 2022/08/26 01:12:11 - mmengine - INFO - Epoch(train) [134][80/125] lr: 9.1979e-04 eta: 1 day, 2:49:27 time: 0.5288 data_time: 0.0137 memory: 9483 loss_text: 0.6839 loss_center: 2.7929 loss_reg_x: 0.8806 loss_reg_y: 0.8460 loss: 5.2034 2022/08/26 01:12:13 - mmengine - INFO - Epoch(train) [134][85/125] lr: 9.1979e-04 eta: 1 day, 2:49:27 time: 0.5529 data_time: 0.0157 memory: 9483 loss_text: 0.7676 loss_center: 2.7752 loss_reg_x: 0.7773 loss_reg_y: 0.8237 loss: 5.1437 2022/08/26 01:12:16 - mmengine - INFO - Epoch(train) [134][90/125] lr: 9.1979e-04 eta: 1 day, 2:49:23 time: 0.5822 data_time: 0.0472 memory: 9483 loss_text: 0.8302 loss_center: 2.7923 loss_reg_x: 0.7302 loss_reg_y: 0.8070 loss: 5.1596 2022/08/26 01:12:19 - mmengine - INFO - Epoch(train) [134][95/125] lr: 9.1979e-04 eta: 1 day, 2:49:23 time: 0.5573 data_time: 0.0461 memory: 9483 loss_text: 0.7951 loss_center: 2.8210 loss_reg_x: 0.9249 loss_reg_y: 0.9029 loss: 5.4439 2022/08/26 01:12:21 - mmengine - INFO - Epoch(train) [134][100/125] lr: 9.1979e-04 eta: 1 day, 2:49:10 time: 0.4963 data_time: 0.0133 memory: 9483 loss_text: 0.8551 loss_center: 2.8072 loss_reg_x: 1.0448 loss_reg_y: 1.0737 loss: 5.7809 2022/08/26 01:12:24 - mmengine - INFO - Epoch(train) [134][105/125] lr: 9.1979e-04 eta: 1 day, 2:49:10 time: 0.5120 data_time: 0.0183 memory: 9483 loss_text: 0.8412 loss_center: 2.8053 loss_reg_x: 1.0984 loss_reg_y: 1.3347 loss: 6.0796 2022/08/26 01:12:27 - mmengine - INFO - Epoch(train) [134][110/125] lr: 9.1979e-04 eta: 1 day, 2:49:02 time: 0.5444 data_time: 0.0418 memory: 9483 loss_text: 0.8249 loss_center: 2.7645 loss_reg_x: 1.1429 loss_reg_y: 1.1583 loss: 5.8906 2022/08/26 01:12:29 - mmengine - INFO - Epoch(train) [134][115/125] lr: 9.1979e-04 eta: 1 day, 2:49:02 time: 0.5195 data_time: 0.0361 memory: 9483 loss_text: 0.8405 loss_center: 2.7548 loss_reg_x: 1.1137 loss_reg_y: 0.8284 loss: 5.5375 2022/08/26 01:12:32 - mmengine - INFO - Epoch(train) [134][120/125] lr: 9.1979e-04 eta: 1 day, 2:48:50 time: 0.4988 data_time: 0.0130 memory: 9483 loss_text: 0.8129 loss_center: 2.7882 loss_reg_x: 1.0610 loss_reg_y: 0.7520 loss: 5.4140 2022/08/26 01:12:36 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:12:36 - mmengine - INFO - Epoch(train) [134][125/125] lr: 9.1979e-04 eta: 1 day, 2:48:50 time: 0.6568 data_time: 0.0330 memory: 9483 loss_text: 0.7394 loss_center: 2.7865 loss_reg_x: 0.9938 loss_reg_y: 0.8682 loss: 5.3879 2022/08/26 01:12:39 - mmengine - INFO - Epoch(train) [135][5/125] lr: 9.1918e-04 eta: 1 day, 2:48:50 time: 0.7346 data_time: 0.1142 memory: 9483 loss_text: 0.7528 loss_center: 2.8013 loss_reg_x: 1.0778 loss_reg_y: 1.0863 loss: 5.7181 2022/08/26 01:12:42 - mmengine - INFO - Epoch(train) [135][10/125] lr: 9.1918e-04 eta: 1 day, 2:48:15 time: 0.5912 data_time: 0.0937 memory: 9483 loss_text: 0.7574 loss_center: 2.8037 loss_reg_x: 1.0336 loss_reg_y: 1.1482 loss: 5.7429 2022/08/26 01:12:44 - mmengine - INFO - Epoch(train) [135][15/125] lr: 9.1918e-04 eta: 1 day, 2:48:15 time: 0.4849 data_time: 0.0120 memory: 9483 loss_text: 0.7714 loss_center: 2.7976 loss_reg_x: 0.9575 loss_reg_y: 1.1531 loss: 5.6795 2022/08/26 01:12:47 - mmengine - INFO - Epoch(train) [135][20/125] lr: 9.1918e-04 eta: 1 day, 2:48:02 time: 0.4942 data_time: 0.0166 memory: 9483 loss_text: 0.6861 loss_center: 2.7691 loss_reg_x: 0.8652 loss_reg_y: 0.9232 loss: 5.2436 2022/08/26 01:12:49 - mmengine - INFO - Epoch(train) [135][25/125] lr: 9.1918e-04 eta: 1 day, 2:48:02 time: 0.4945 data_time: 0.0175 memory: 9483 loss_text: 0.6079 loss_center: 2.7632 loss_reg_x: 0.6745 loss_reg_y: 0.6127 loss: 4.6583 2022/08/26 01:12:51 - mmengine - INFO - Epoch(train) [135][30/125] lr: 9.1918e-04 eta: 1 day, 2:47:49 time: 0.4872 data_time: 0.0155 memory: 9483 loss_text: 0.6276 loss_center: 2.7777 loss_reg_x: 0.6608 loss_reg_y: 0.6898 loss: 4.7559 2022/08/26 01:12:56 - mmengine - INFO - Epoch(train) [135][35/125] lr: 9.1918e-04 eta: 1 day, 2:47:49 time: 0.7423 data_time: 0.0577 memory: 9483 loss_text: 0.6282 loss_center: 2.7788 loss_reg_x: 0.7388 loss_reg_y: 0.7606 loss: 4.9064 2022/08/26 01:12:59 - mmengine - INFO - Epoch(train) [135][40/125] lr: 9.1918e-04 eta: 1 day, 2:48:00 time: 0.7334 data_time: 0.0607 memory: 9483 loss_text: 0.7201 loss_center: 2.7899 loss_reg_x: 0.8401 loss_reg_y: 0.9390 loss: 5.2890 2022/08/26 01:13:01 - mmengine - INFO - Epoch(train) [135][45/125] lr: 9.1918e-04 eta: 1 day, 2:48:00 time: 0.4789 data_time: 0.0187 memory: 9483 loss_text: 0.7340 loss_center: 2.7978 loss_reg_x: 0.8243 loss_reg_y: 0.9446 loss: 5.3007 2022/08/26 01:13:04 - mmengine - INFO - Epoch(train) [135][50/125] lr: 9.1918e-04 eta: 1 day, 2:47:48 time: 0.5002 data_time: 0.0131 memory: 9483 loss_text: 0.7229 loss_center: 2.7813 loss_reg_x: 0.7762 loss_reg_y: 0.7734 loss: 5.0538 2022/08/26 01:13:06 - mmengine - INFO - Epoch(train) [135][55/125] lr: 9.1918e-04 eta: 1 day, 2:47:48 time: 0.5071 data_time: 0.0129 memory: 9483 loss_text: 0.7579 loss_center: 2.7852 loss_reg_x: 0.8601 loss_reg_y: 0.8250 loss: 5.2282 2022/08/26 01:13:09 - mmengine - INFO - Epoch(train) [135][60/125] lr: 9.1918e-04 eta: 1 day, 2:47:36 time: 0.4992 data_time: 0.0130 memory: 9483 loss_text: 0.7092 loss_center: 2.8103 loss_reg_x: 0.8481 loss_reg_y: 0.8121 loss: 5.1797 2022/08/26 01:13:11 - mmengine - INFO - Epoch(train) [135][65/125] lr: 9.1918e-04 eta: 1 day, 2:47:36 time: 0.4914 data_time: 0.0153 memory: 9483 loss_text: 0.6991 loss_center: 2.8051 loss_reg_x: 0.7830 loss_reg_y: 0.8434 loss: 5.1306 2022/08/26 01:13:16 - mmengine - INFO - Epoch(train) [135][70/125] lr: 9.1918e-04 eta: 1 day, 2:47:48 time: 0.7470 data_time: 0.0162 memory: 9483 loss_text: 0.6906 loss_center: 2.7980 loss_reg_x: 0.6887 loss_reg_y: 0.8043 loss: 4.9817 2022/08/26 01:13:19 - mmengine - INFO - Epoch(train) [135][75/125] lr: 9.1918e-04 eta: 1 day, 2:47:48 time: 0.7831 data_time: 0.0181 memory: 9483 loss_text: 0.7056 loss_center: 2.8004 loss_reg_x: 0.7437 loss_reg_y: 0.8772 loss: 5.1268 2022/08/26 01:13:21 - mmengine - INFO - Epoch(train) [135][80/125] lr: 9.1918e-04 eta: 1 day, 2:47:38 time: 0.5198 data_time: 0.0193 memory: 9483 loss_text: 0.7267 loss_center: 2.7562 loss_reg_x: 0.7968 loss_reg_y: 0.8968 loss: 5.1765 2022/08/26 01:13:24 - mmengine - INFO - Epoch(train) [135][85/125] lr: 9.1918e-04 eta: 1 day, 2:47:38 time: 0.4956 data_time: 0.0150 memory: 9483 loss_text: 0.7367 loss_center: 2.7453 loss_reg_x: 0.6904 loss_reg_y: 0.8367 loss: 5.0091 2022/08/26 01:13:26 - mmengine - INFO - Epoch(train) [135][90/125] lr: 9.1918e-04 eta: 1 day, 2:47:26 time: 0.4983 data_time: 0.0138 memory: 9483 loss_text: 0.7320 loss_center: 2.7896 loss_reg_x: 0.7300 loss_reg_y: 0.8826 loss: 5.1342 2022/08/26 01:13:29 - mmengine - INFO - Epoch(train) [135][95/125] lr: 9.1918e-04 eta: 1 day, 2:47:26 time: 0.5086 data_time: 0.0133 memory: 9483 loss_text: 0.7782 loss_center: 2.8118 loss_reg_x: 0.8300 loss_reg_y: 0.9771 loss: 5.3972 2022/08/26 01:13:32 - mmengine - INFO - Epoch(train) [135][100/125] lr: 9.1918e-04 eta: 1 day, 2:47:17 time: 0.5390 data_time: 0.0158 memory: 9483 loss_text: 0.7959 loss_center: 2.8091 loss_reg_x: 1.0050 loss_reg_y: 1.0931 loss: 5.7031 2022/08/26 01:13:37 - mmengine - INFO - Epoch(train) [135][105/125] lr: 9.1918e-04 eta: 1 day, 2:47:17 time: 0.7465 data_time: 0.0410 memory: 9483 loss_text: 0.6810 loss_center: 2.7762 loss_reg_x: 1.1177 loss_reg_y: 1.0678 loss: 5.6426 2022/08/26 01:13:39 - mmengine - INFO - Epoch(train) [135][110/125] lr: 9.1918e-04 eta: 1 day, 2:47:27 time: 0.7152 data_time: 0.0383 memory: 9483 loss_text: 0.8938 loss_center: 2.7773 loss_reg_x: 1.1482 loss_reg_y: 1.2125 loss: 6.0318 2022/08/26 01:13:42 - mmengine - INFO - Epoch(train) [135][115/125] lr: 9.1918e-04 eta: 1 day, 2:47:27 time: 0.5171 data_time: 0.0128 memory: 9483 loss_text: 0.9971 loss_center: 2.8032 loss_reg_x: 1.0537 loss_reg_y: 1.0895 loss: 5.9435 2022/08/26 01:13:44 - mmengine - INFO - Epoch(train) [135][120/125] lr: 9.1918e-04 eta: 1 day, 2:47:17 time: 0.5208 data_time: 0.0147 memory: 9483 loss_text: 0.7612 loss_center: 2.8007 loss_reg_x: 0.8383 loss_reg_y: 0.7993 loss: 5.1994 2022/08/26 01:13:47 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:13:47 - mmengine - INFO - Epoch(train) [135][125/125] lr: 9.1918e-04 eta: 1 day, 2:47:17 time: 0.5101 data_time: 0.0158 memory: 9483 loss_text: 0.7381 loss_center: 2.7993 loss_reg_x: 0.7391 loss_reg_y: 0.7948 loss: 5.0712 2022/08/26 01:13:50 - mmengine - INFO - Epoch(train) [136][5/125] lr: 9.1858e-04 eta: 1 day, 2:47:17 time: 0.5809 data_time: 0.0886 memory: 9483 loss_text: 0.7517 loss_center: 2.7979 loss_reg_x: 0.8010 loss_reg_y: 0.8718 loss: 5.2225 2022/08/26 01:13:53 - mmengine - INFO - Epoch(train) [136][10/125] lr: 9.1858e-04 eta: 1 day, 2:46:41 time: 0.5829 data_time: 0.0875 memory: 9483 loss_text: 0.7455 loss_center: 2.7932 loss_reg_x: 0.9375 loss_reg_y: 1.0386 loss: 5.5148 2022/08/26 01:13:56 - mmengine - INFO - Epoch(train) [136][15/125] lr: 9.1858e-04 eta: 1 day, 2:46:41 time: 0.5993 data_time: 0.0135 memory: 9483 loss_text: 0.7804 loss_center: 2.7987 loss_reg_x: 0.8904 loss_reg_y: 1.0097 loss: 5.4793 2022/08/26 01:13:59 - mmengine - INFO - Epoch(train) [136][20/125] lr: 9.1858e-04 eta: 1 day, 2:46:40 time: 0.6099 data_time: 0.0141 memory: 9483 loss_text: 0.7721 loss_center: 2.7952 loss_reg_x: 0.8531 loss_reg_y: 0.7617 loss: 5.1821 2022/08/26 01:14:01 - mmengine - INFO - Epoch(train) [136][25/125] lr: 9.1858e-04 eta: 1 day, 2:46:40 time: 0.5248 data_time: 0.0130 memory: 9483 loss_text: 0.7792 loss_center: 2.7908 loss_reg_x: 1.0084 loss_reg_y: 1.0075 loss: 5.5860 2022/08/26 01:14:04 - mmengine - INFO - Epoch(train) [136][30/125] lr: 9.1858e-04 eta: 1 day, 2:46:35 time: 0.5706 data_time: 0.0129 memory: 9483 loss_text: 0.7471 loss_center: 2.7974 loss_reg_x: 1.0746 loss_reg_y: 1.1985 loss: 5.8176 2022/08/26 01:14:07 - mmengine - INFO - Epoch(train) [136][35/125] lr: 9.1858e-04 eta: 1 day, 2:46:35 time: 0.5816 data_time: 0.0188 memory: 9483 loss_text: 0.7403 loss_center: 2.8096 loss_reg_x: 1.1297 loss_reg_y: 1.2534 loss: 5.9330 2022/08/26 01:14:10 - mmengine - INFO - Epoch(train) [136][40/125] lr: 9.1858e-04 eta: 1 day, 2:46:24 time: 0.5122 data_time: 0.0186 memory: 9483 loss_text: 0.7710 loss_center: 2.8200 loss_reg_x: 1.1467 loss_reg_y: 1.3333 loss: 6.0709 2022/08/26 01:14:12 - mmengine - INFO - Epoch(train) [136][45/125] lr: 9.1858e-04 eta: 1 day, 2:46:24 time: 0.5092 data_time: 0.0129 memory: 9483 loss_text: 0.7277 loss_center: 2.7993 loss_reg_x: 1.0100 loss_reg_y: 1.1448 loss: 5.6819 2022/08/26 01:14:16 - mmengine - INFO - Epoch(train) [136][50/125] lr: 9.1858e-04 eta: 1 day, 2:46:27 time: 0.6445 data_time: 0.0139 memory: 9483 loss_text: 0.6816 loss_center: 2.7933 loss_reg_x: 0.9064 loss_reg_y: 1.0161 loss: 5.3974 2022/08/26 01:14:19 - mmengine - INFO - Epoch(train) [136][55/125] lr: 9.1858e-04 eta: 1 day, 2:46:27 time: 0.6338 data_time: 0.0161 memory: 9483 loss_text: 0.8533 loss_center: 2.8098 loss_reg_x: 0.9756 loss_reg_y: 0.9236 loss: 5.5622 2022/08/26 01:14:21 - mmengine - INFO - Epoch(train) [136][60/125] lr: 9.1858e-04 eta: 1 day, 2:46:17 time: 0.5271 data_time: 0.0148 memory: 9483 loss_text: 0.8967 loss_center: 2.8014 loss_reg_x: 0.9717 loss_reg_y: 0.8126 loss: 5.4825 2022/08/26 01:14:24 - mmengine - INFO - Epoch(train) [136][65/125] lr: 9.1858e-04 eta: 1 day, 2:46:17 time: 0.5580 data_time: 0.0134 memory: 9483 loss_text: 0.7568 loss_center: 2.7961 loss_reg_x: 0.9235 loss_reg_y: 0.8054 loss: 5.2817 2022/08/26 01:14:27 - mmengine - INFO - Epoch(train) [136][70/125] lr: 9.1858e-04 eta: 1 day, 2:46:07 time: 0.5207 data_time: 0.0138 memory: 9483 loss_text: 0.8231 loss_center: 2.8091 loss_reg_x: 1.0005 loss_reg_y: 0.9303 loss: 5.5630 2022/08/26 01:14:29 - mmengine - INFO - Epoch(train) [136][75/125] lr: 9.1858e-04 eta: 1 day, 2:46:07 time: 0.5105 data_time: 0.0157 memory: 9483 loss_text: 0.8490 loss_center: 2.7978 loss_reg_x: 1.1026 loss_reg_y: 1.0932 loss: 5.8426 2022/08/26 01:14:32 - mmengine - INFO - Epoch(train) [136][80/125] lr: 9.1858e-04 eta: 1 day, 2:45:57 time: 0.5188 data_time: 0.0160 memory: 9483 loss_text: 0.7120 loss_center: 2.7984 loss_reg_x: 0.9809 loss_reg_y: 1.0044 loss: 5.4957 2022/08/26 01:14:35 - mmengine - INFO - Epoch(train) [136][85/125] lr: 9.1858e-04 eta: 1 day, 2:45:57 time: 0.6064 data_time: 0.0131 memory: 9483 loss_text: 0.7165 loss_center: 2.8055 loss_reg_x: 0.9000 loss_reg_y: 0.8515 loss: 5.2734 2022/08/26 01:14:38 - mmengine - INFO - Epoch(train) [136][90/125] lr: 9.1858e-04 eta: 1 day, 2:45:55 time: 0.6077 data_time: 0.0162 memory: 9483 loss_text: 0.7964 loss_center: 2.7892 loss_reg_x: 0.9115 loss_reg_y: 0.8016 loss: 5.2987 2022/08/26 01:14:40 - mmengine - INFO - Epoch(train) [136][95/125] lr: 9.1858e-04 eta: 1 day, 2:45:55 time: 0.4931 data_time: 0.0181 memory: 9483 loss_text: 0.7573 loss_center: 2.7938 loss_reg_x: 0.8290 loss_reg_y: 0.8122 loss: 5.1923 2022/08/26 01:14:43 - mmengine - INFO - Epoch(train) [136][100/125] lr: 9.1858e-04 eta: 1 day, 2:45:43 time: 0.4938 data_time: 0.0147 memory: 9483 loss_text: 0.7257 loss_center: 2.7395 loss_reg_x: 0.9990 loss_reg_y: 1.2484 loss: 5.7126 2022/08/26 01:14:46 - mmengine - INFO - Epoch(train) [136][105/125] lr: 9.1858e-04 eta: 1 day, 2:45:43 time: 0.5666 data_time: 0.0132 memory: 9483 loss_text: 0.7564 loss_center: 2.7357 loss_reg_x: 1.0403 loss_reg_y: 1.1689 loss: 5.7012 2022/08/26 01:14:48 - mmengine - INFO - Epoch(train) [136][110/125] lr: 9.1858e-04 eta: 1 day, 2:45:35 time: 0.5459 data_time: 0.0130 memory: 9483 loss_text: 0.7989 loss_center: 2.8130 loss_reg_x: 1.0299 loss_reg_y: 0.9577 loss: 5.5994 2022/08/26 01:14:51 - mmengine - INFO - Epoch(train) [136][115/125] lr: 9.1858e-04 eta: 1 day, 2:45:35 time: 0.4797 data_time: 0.0145 memory: 9483 loss_text: 0.8016 loss_center: 2.8221 loss_reg_x: 0.9989 loss_reg_y: 1.0025 loss: 5.6251 2022/08/26 01:14:53 - mmengine - INFO - Epoch(train) [136][120/125] lr: 9.1858e-04 eta: 1 day, 2:45:24 time: 0.5110 data_time: 0.0143 memory: 9483 loss_text: 0.7511 loss_center: 2.7950 loss_reg_x: 0.8526 loss_reg_y: 0.8749 loss: 5.2737 2022/08/26 01:15:00 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:15:00 - mmengine - INFO - Epoch(train) [136][125/125] lr: 9.1858e-04 eta: 1 day, 2:45:24 time: 0.9251 data_time: 0.0134 memory: 9483 loss_text: 0.7719 loss_center: 2.8012 loss_reg_x: 0.8249 loss_reg_y: 0.8654 loss: 5.2634 2022/08/26 01:15:03 - mmengine - INFO - Epoch(train) [137][5/125] lr: 9.1797e-04 eta: 1 day, 2:45:24 time: 0.9677 data_time: 0.0910 memory: 9483 loss_text: 0.8328 loss_center: 2.8129 loss_reg_x: 0.9242 loss_reg_y: 1.0330 loss: 5.6029 2022/08/26 01:15:05 - mmengine - INFO - Epoch(train) [137][10/125] lr: 9.1797e-04 eta: 1 day, 2:44:44 time: 0.5363 data_time: 0.0881 memory: 9483 loss_text: 0.8310 loss_center: 2.8067 loss_reg_x: 0.8716 loss_reg_y: 1.0406 loss: 5.5499 2022/08/26 01:15:08 - mmengine - INFO - Epoch(train) [137][15/125] lr: 9.1797e-04 eta: 1 day, 2:44:44 time: 0.5077 data_time: 0.0120 memory: 9483 loss_text: 0.7976 loss_center: 2.7922 loss_reg_x: 0.8239 loss_reg_y: 0.9172 loss: 5.3310 2022/08/26 01:15:11 - mmengine - INFO - Epoch(train) [137][20/125] lr: 9.1797e-04 eta: 1 day, 2:44:34 time: 0.5225 data_time: 0.0145 memory: 9483 loss_text: 0.8142 loss_center: 2.7948 loss_reg_x: 0.9480 loss_reg_y: 0.9572 loss: 5.5143 2022/08/26 01:15:13 - mmengine - INFO - Epoch(train) [137][25/125] lr: 9.1797e-04 eta: 1 day, 2:44:34 time: 0.5061 data_time: 0.0160 memory: 9483 loss_text: 0.8756 loss_center: 2.8229 loss_reg_x: 1.0986 loss_reg_y: 0.9464 loss: 5.7435 2022/08/26 01:15:16 - mmengine - INFO - Epoch(train) [137][30/125] lr: 9.1797e-04 eta: 1 day, 2:44:27 time: 0.5476 data_time: 0.0200 memory: 9483 loss_text: 0.8292 loss_center: 2.8213 loss_reg_x: 1.1211 loss_reg_y: 1.0814 loss: 5.8529 2022/08/26 01:15:18 - mmengine - INFO - Epoch(train) [137][35/125] lr: 9.1797e-04 eta: 1 day, 2:44:27 time: 0.5171 data_time: 0.0202 memory: 9483 loss_text: 0.7807 loss_center: 2.8207 loss_reg_x: 0.9216 loss_reg_y: 1.1204 loss: 5.6433 2022/08/26 01:15:21 - mmengine - INFO - Epoch(train) [137][40/125] lr: 9.1797e-04 eta: 1 day, 2:44:13 time: 0.4782 data_time: 0.0155 memory: 9483 loss_text: 0.6956 loss_center: 2.8067 loss_reg_x: 0.8865 loss_reg_y: 0.9307 loss: 5.3194 2022/08/26 01:15:24 - mmengine - INFO - Epoch(train) [137][45/125] lr: 9.1797e-04 eta: 1 day, 2:44:13 time: 0.5862 data_time: 0.0156 memory: 9483 loss_text: 0.6734 loss_center: 2.7859 loss_reg_x: 0.8734 loss_reg_y: 0.8174 loss: 5.1502 2022/08/26 01:15:28 - mmengine - INFO - Epoch(train) [137][50/125] lr: 9.1797e-04 eta: 1 day, 2:44:25 time: 0.7447 data_time: 0.0544 memory: 9483 loss_text: 0.7093 loss_center: 2.7966 loss_reg_x: 0.9317 loss_reg_y: 0.8744 loss: 5.3120 2022/08/26 01:15:31 - mmengine - INFO - Epoch(train) [137][55/125] lr: 9.1797e-04 eta: 1 day, 2:44:25 time: 0.6798 data_time: 0.0524 memory: 9483 loss_text: 0.6200 loss_center: 2.7871 loss_reg_x: 0.8696 loss_reg_y: 0.8344 loss: 5.1111 2022/08/26 01:15:34 - mmengine - INFO - Epoch(train) [137][60/125] lr: 9.1797e-04 eta: 1 day, 2:44:17 time: 0.5424 data_time: 0.0185 memory: 9483 loss_text: 0.6404 loss_center: 2.7887 loss_reg_x: 0.8066 loss_reg_y: 0.7961 loss: 5.0318 2022/08/26 01:15:37 - mmengine - INFO - Epoch(train) [137][65/125] lr: 9.1797e-04 eta: 1 day, 2:44:17 time: 0.5519 data_time: 0.0274 memory: 9483 loss_text: 0.7756 loss_center: 2.8015 loss_reg_x: 0.8508 loss_reg_y: 0.8132 loss: 5.2411 2022/08/26 01:15:39 - mmengine - INFO - Epoch(train) [137][70/125] lr: 9.1797e-04 eta: 1 day, 2:44:11 time: 0.5589 data_time: 0.0300 memory: 9483 loss_text: 0.7350 loss_center: 2.7908 loss_reg_x: 0.7448 loss_reg_y: 0.8275 loss: 5.0981 2022/08/26 01:15:42 - mmengine - INFO - Epoch(train) [137][75/125] lr: 9.1797e-04 eta: 1 day, 2:44:11 time: 0.5360 data_time: 0.0205 memory: 9483 loss_text: 0.6256 loss_center: 2.7814 loss_reg_x: 0.7590 loss_reg_y: 0.9224 loss: 5.0885 2022/08/26 01:15:46 - mmengine - INFO - Epoch(train) [137][80/125] lr: 9.1797e-04 eta: 1 day, 2:44:13 time: 0.6365 data_time: 0.0183 memory: 9483 loss_text: 0.6649 loss_center: 2.7884 loss_reg_x: 0.7718 loss_reg_y: 0.8401 loss: 5.0652 2022/08/26 01:15:48 - mmengine - INFO - Epoch(train) [137][85/125] lr: 9.1797e-04 eta: 1 day, 2:44:13 time: 0.6172 data_time: 0.0180 memory: 9483 loss_text: 0.7678 loss_center: 2.8103 loss_reg_x: 0.8169 loss_reg_y: 0.8151 loss: 5.2101 2022/08/26 01:15:51 - mmengine - INFO - Epoch(train) [137][90/125] lr: 9.1797e-04 eta: 1 day, 2:44:00 time: 0.5008 data_time: 0.0132 memory: 9483 loss_text: 0.8108 loss_center: 2.7900 loss_reg_x: 0.9553 loss_reg_y: 0.9543 loss: 5.5104 2022/08/26 01:15:53 - mmengine - INFO - Epoch(train) [137][95/125] lr: 9.1797e-04 eta: 1 day, 2:44:00 time: 0.5100 data_time: 0.0138 memory: 9483 loss_text: 0.7788 loss_center: 2.7664 loss_reg_x: 0.9572 loss_reg_y: 0.9020 loss: 5.4044 2022/08/26 01:15:56 - mmengine - INFO - Epoch(train) [137][100/125] lr: 9.1797e-04 eta: 1 day, 2:43:48 time: 0.4981 data_time: 0.0166 memory: 9483 loss_text: 0.7560 loss_center: 2.8003 loss_reg_x: 0.9908 loss_reg_y: 1.0173 loss: 5.5643 2022/08/26 01:15:58 - mmengine - INFO - Epoch(train) [137][105/125] lr: 9.1797e-04 eta: 1 day, 2:43:48 time: 0.5163 data_time: 0.0164 memory: 9483 loss_text: 0.8185 loss_center: 2.8021 loss_reg_x: 1.0322 loss_reg_y: 1.3202 loss: 5.9730 2022/08/26 01:16:01 - mmengine - INFO - Epoch(train) [137][110/125] lr: 9.1797e-04 eta: 1 day, 2:43:37 time: 0.5096 data_time: 0.0126 memory: 9483 loss_text: 0.8505 loss_center: 2.8049 loss_reg_x: 1.1004 loss_reg_y: 1.3480 loss: 6.1037 2022/08/26 01:16:03 - mmengine - INFO - Epoch(train) [137][115/125] lr: 9.1797e-04 eta: 1 day, 2:43:37 time: 0.5003 data_time: 0.0125 memory: 9483 loss_text: 0.7553 loss_center: 2.8330 loss_reg_x: 1.1026 loss_reg_y: 1.1293 loss: 5.8201 2022/08/26 01:16:06 - mmengine - INFO - Epoch(train) [137][120/125] lr: 9.1797e-04 eta: 1 day, 2:43:31 time: 0.5584 data_time: 0.0155 memory: 9483 loss_text: 0.7483 loss_center: 2.8164 loss_reg_x: 1.0000 loss_reg_y: 0.8755 loss: 5.4402 2022/08/26 01:16:09 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:16:09 - mmengine - INFO - Epoch(train) [137][125/125] lr: 9.1797e-04 eta: 1 day, 2:43:31 time: 0.5335 data_time: 0.0148 memory: 9483 loss_text: 0.7674 loss_center: 2.8071 loss_reg_x: 1.0234 loss_reg_y: 0.9326 loss: 5.5305 2022/08/26 01:16:12 - mmengine - INFO - Epoch(train) [138][5/125] lr: 9.1736e-04 eta: 1 day, 2:43:31 time: 0.5684 data_time: 0.0889 memory: 9483 loss_text: 0.7094 loss_center: 2.7958 loss_reg_x: 0.9705 loss_reg_y: 0.9451 loss: 5.4209 2022/08/26 01:16:16 - mmengine - INFO - Epoch(train) [138][10/125] lr: 9.1736e-04 eta: 1 day, 2:43:09 time: 0.7175 data_time: 0.0899 memory: 9483 loss_text: 0.6508 loss_center: 2.7930 loss_reg_x: 0.8879 loss_reg_y: 0.8951 loss: 5.2267 2022/08/26 01:16:18 - mmengine - INFO - Epoch(train) [138][15/125] lr: 9.1736e-04 eta: 1 day, 2:43:09 time: 0.6221 data_time: 0.0166 memory: 9483 loss_text: 0.7230 loss_center: 2.8050 loss_reg_x: 1.0462 loss_reg_y: 1.0751 loss: 5.6493 2022/08/26 01:16:21 - mmengine - INFO - Epoch(train) [138][20/125] lr: 9.1736e-04 eta: 1 day, 2:42:56 time: 0.4881 data_time: 0.0159 memory: 9483 loss_text: 0.7301 loss_center: 2.7933 loss_reg_x: 1.0604 loss_reg_y: 1.0095 loss: 5.5933 2022/08/26 01:16:24 - mmengine - INFO - Epoch(train) [138][25/125] lr: 9.1736e-04 eta: 1 day, 2:42:56 time: 0.5305 data_time: 0.0220 memory: 9483 loss_text: 0.6314 loss_center: 2.7898 loss_reg_x: 0.7999 loss_reg_y: 0.8495 loss: 5.0706 2022/08/26 01:16:26 - mmengine - INFO - Epoch(train) [138][30/125] lr: 9.1736e-04 eta: 1 day, 2:42:47 time: 0.5334 data_time: 0.0248 memory: 9483 loss_text: 0.6115 loss_center: 2.7894 loss_reg_x: 0.6797 loss_reg_y: 0.7760 loss: 4.8567 2022/08/26 01:16:28 - mmengine - INFO - Epoch(train) [138][35/125] lr: 9.1736e-04 eta: 1 day, 2:42:47 time: 0.4907 data_time: 0.0189 memory: 9483 loss_text: 0.7373 loss_center: 2.7892 loss_reg_x: 0.8663 loss_reg_y: 0.8901 loss: 5.2829 2022/08/26 01:16:31 - mmengine - INFO - Epoch(train) [138][40/125] lr: 9.1736e-04 eta: 1 day, 2:42:33 time: 0.4805 data_time: 0.0161 memory: 9483 loss_text: 0.8107 loss_center: 2.8102 loss_reg_x: 0.9399 loss_reg_y: 0.9960 loss: 5.5568 2022/08/26 01:16:33 - mmengine - INFO - Epoch(train) [138][45/125] lr: 9.1736e-04 eta: 1 day, 2:42:33 time: 0.5002 data_time: 0.0124 memory: 9483 loss_text: 0.6587 loss_center: 2.8017 loss_reg_x: 0.8024 loss_reg_y: 0.8672 loss: 5.1299 2022/08/26 01:16:36 - mmengine - INFO - Epoch(train) [138][50/125] lr: 9.1736e-04 eta: 1 day, 2:42:26 time: 0.5494 data_time: 0.0165 memory: 9483 loss_text: 0.5867 loss_center: 2.7609 loss_reg_x: 0.7667 loss_reg_y: 0.7719 loss: 4.8862 2022/08/26 01:16:41 - mmengine - INFO - Epoch(train) [138][55/125] lr: 9.1736e-04 eta: 1 day, 2:42:26 time: 0.7341 data_time: 0.0263 memory: 9483 loss_text: 0.6580 loss_center: 2.7748 loss_reg_x: 0.7928 loss_reg_y: 0.8037 loss: 5.0293 2022/08/26 01:16:43 - mmengine - INFO - Epoch(train) [138][60/125] lr: 9.1736e-04 eta: 1 day, 2:42:34 time: 0.7006 data_time: 0.0225 memory: 9483 loss_text: 0.7703 loss_center: 2.8104 loss_reg_x: 0.9642 loss_reg_y: 1.0794 loss: 5.6242 2022/08/26 01:16:46 - mmengine - INFO - Epoch(train) [138][65/125] lr: 9.1736e-04 eta: 1 day, 2:42:34 time: 0.5033 data_time: 0.0123 memory: 9483 loss_text: 0.7755 loss_center: 2.8077 loss_reg_x: 1.0692 loss_reg_y: 1.1243 loss: 5.7766 2022/08/26 01:16:48 - mmengine - INFO - Epoch(train) [138][70/125] lr: 9.1736e-04 eta: 1 day, 2:42:22 time: 0.5035 data_time: 0.0133 memory: 9483 loss_text: 0.7251 loss_center: 2.8071 loss_reg_x: 1.2095 loss_reg_y: 1.1299 loss: 5.8716 2022/08/26 01:16:51 - mmengine - INFO - Epoch(train) [138][75/125] lr: 9.1736e-04 eta: 1 day, 2:42:22 time: 0.5030 data_time: 0.0185 memory: 9483 loss_text: 0.7576 loss_center: 2.7816 loss_reg_x: 1.2473 loss_reg_y: 1.0613 loss: 5.8478 2022/08/26 01:16:53 - mmengine - INFO - Epoch(train) [138][80/125] lr: 9.1736e-04 eta: 1 day, 2:42:10 time: 0.4953 data_time: 0.0196 memory: 9483 loss_text: 0.7230 loss_center: 2.7755 loss_reg_x: 0.9339 loss_reg_y: 0.8754 loss: 5.3077 2022/08/26 01:16:58 - mmengine - INFO - Epoch(train) [138][85/125] lr: 9.1736e-04 eta: 1 day, 2:42:10 time: 0.7497 data_time: 0.0175 memory: 9483 loss_text: 0.6015 loss_center: 2.7751 loss_reg_x: 0.8421 loss_reg_y: 0.8869 loss: 5.1057 2022/08/26 01:17:01 - mmengine - INFO - Epoch(train) [138][90/125] lr: 9.1736e-04 eta: 1 day, 2:42:25 time: 0.7717 data_time: 0.0169 memory: 9483 loss_text: 0.7196 loss_center: 2.7777 loss_reg_x: 1.2183 loss_reg_y: 1.0182 loss: 5.7339 2022/08/26 01:17:05 - mmengine - INFO - Epoch(train) [138][95/125] lr: 9.1736e-04 eta: 1 day, 2:42:25 time: 0.6532 data_time: 0.0189 memory: 9483 loss_text: 0.7924 loss_center: 2.7906 loss_reg_x: 1.2864 loss_reg_y: 1.0701 loss: 5.9394 2022/08/26 01:17:07 - mmengine - INFO - Epoch(train) [138][100/125] lr: 9.1736e-04 eta: 1 day, 2:42:26 time: 0.6356 data_time: 0.0180 memory: 9483 loss_text: 0.8227 loss_center: 2.7919 loss_reg_x: 1.2129 loss_reg_y: 1.2104 loss: 6.0381 2022/08/26 01:17:10 - mmengine - INFO - Epoch(train) [138][105/125] lr: 9.1736e-04 eta: 1 day, 2:42:26 time: 0.5046 data_time: 0.0135 memory: 9483 loss_text: 0.8382 loss_center: 2.7992 loss_reg_x: 1.1561 loss_reg_y: 1.3943 loss: 6.1879 2022/08/26 01:17:12 - mmengine - INFO - Epoch(train) [138][110/125] lr: 9.1736e-04 eta: 1 day, 2:42:13 time: 0.4912 data_time: 0.0150 memory: 9483 loss_text: 0.8231 loss_center: 2.7997 loss_reg_x: 0.9493 loss_reg_y: 1.1011 loss: 5.6732 2022/08/26 01:17:17 - mmengine - INFO - Epoch(train) [138][115/125] lr: 9.1736e-04 eta: 1 day, 2:42:13 time: 0.7310 data_time: 0.0243 memory: 9483 loss_text: 0.7840 loss_center: 2.8063 loss_reg_x: 0.9939 loss_reg_y: 1.0056 loss: 5.5899 2022/08/26 01:17:20 - mmengine - INFO - Epoch(train) [138][120/125] lr: 9.1736e-04 eta: 1 day, 2:42:24 time: 0.7322 data_time: 0.0228 memory: 9483 loss_text: 0.7285 loss_center: 2.7909 loss_reg_x: 1.0587 loss_reg_y: 1.1259 loss: 5.7040 2022/08/26 01:17:22 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:17:22 - mmengine - INFO - Epoch(train) [138][125/125] lr: 9.1736e-04 eta: 1 day, 2:42:24 time: 0.4963 data_time: 0.0125 memory: 9483 loss_text: 0.7754 loss_center: 2.7828 loss_reg_x: 0.9914 loss_reg_y: 0.9953 loss: 5.5449 2022/08/26 01:17:25 - mmengine - INFO - Epoch(train) [139][5/125] lr: 9.1676e-04 eta: 1 day, 2:42:24 time: 0.5668 data_time: 0.0716 memory: 9483 loss_text: 0.7146 loss_center: 2.7788 loss_reg_x: 0.9646 loss_reg_y: 0.9535 loss: 5.4115 2022/08/26 01:17:28 - mmengine - INFO - Epoch(train) [139][10/125] lr: 9.1676e-04 eta: 1 day, 2:41:48 time: 0.5709 data_time: 0.0748 memory: 9483 loss_text: 0.7147 loss_center: 2.7829 loss_reg_x: 0.9270 loss_reg_y: 0.9140 loss: 5.3386 2022/08/26 01:17:31 - mmengine - INFO - Epoch(train) [139][15/125] lr: 9.1676e-04 eta: 1 day, 2:41:48 time: 0.5111 data_time: 0.0168 memory: 9483 loss_text: 0.7882 loss_center: 2.7917 loss_reg_x: 0.8695 loss_reg_y: 0.7676 loss: 5.2171 2022/08/26 01:17:33 - mmengine - INFO - Epoch(train) [139][20/125] lr: 9.1676e-04 eta: 1 day, 2:41:38 time: 0.5116 data_time: 0.0148 memory: 9483 loss_text: 0.7461 loss_center: 2.7948 loss_reg_x: 0.8388 loss_reg_y: 0.7126 loss: 5.0922 2022/08/26 01:17:38 - mmengine - INFO - Epoch(train) [139][25/125] lr: 9.1676e-04 eta: 1 day, 2:41:38 time: 0.6969 data_time: 0.0173 memory: 9483 loss_text: 0.7997 loss_center: 2.8204 loss_reg_x: 1.2356 loss_reg_y: 0.9949 loss: 5.8506 2022/08/26 01:17:40 - mmengine - INFO - Epoch(train) [139][30/125] lr: 9.1676e-04 eta: 1 day, 2:41:43 time: 0.6749 data_time: 0.0210 memory: 9483 loss_text: 0.8389 loss_center: 2.8183 loss_reg_x: 1.1938 loss_reg_y: 1.0826 loss: 5.9335 2022/08/26 01:17:42 - mmengine - INFO - Epoch(train) [139][35/125] lr: 9.1676e-04 eta: 1 day, 2:41:43 time: 0.4931 data_time: 0.0177 memory: 9483 loss_text: 0.7723 loss_center: 2.7810 loss_reg_x: 0.8447 loss_reg_y: 0.8857 loss: 5.2838 2022/08/26 01:17:46 - mmengine - INFO - Epoch(train) [139][40/125] lr: 9.1676e-04 eta: 1 day, 2:41:41 time: 0.6025 data_time: 0.0136 memory: 9483 loss_text: 0.8422 loss_center: 2.7715 loss_reg_x: 1.0698 loss_reg_y: 0.9851 loss: 5.6686 2022/08/26 01:17:49 - mmengine - INFO - Epoch(train) [139][45/125] lr: 9.1676e-04 eta: 1 day, 2:41:41 time: 0.6107 data_time: 0.0164 memory: 9483 loss_text: 0.8689 loss_center: 2.7830 loss_reg_x: 1.1543 loss_reg_y: 1.0832 loss: 5.8895 2022/08/26 01:17:51 - mmengine - INFO - Epoch(train) [139][50/125] lr: 9.1676e-04 eta: 1 day, 2:41:33 time: 0.5426 data_time: 0.0239 memory: 9483 loss_text: 0.8052 loss_center: 2.7850 loss_reg_x: 1.1586 loss_reg_y: 1.0785 loss: 5.8272 2022/08/26 01:17:54 - mmengine - INFO - Epoch(train) [139][55/125] lr: 9.1676e-04 eta: 1 day, 2:41:33 time: 0.5180 data_time: 0.0201 memory: 9483 loss_text: 0.6766 loss_center: 2.7849 loss_reg_x: 1.0840 loss_reg_y: 1.0974 loss: 5.6428 2022/08/26 01:17:57 - mmengine - INFO - Epoch(train) [139][60/125] lr: 9.1676e-04 eta: 1 day, 2:41:23 time: 0.5233 data_time: 0.0131 memory: 9483 loss_text: 0.5840 loss_center: 2.7332 loss_reg_x: 0.8934 loss_reg_y: 0.9135 loss: 5.1240 2022/08/26 01:17:59 - mmengine - INFO - Epoch(train) [139][65/125] lr: 9.1676e-04 eta: 1 day, 2:41:23 time: 0.5135 data_time: 0.0138 memory: 9483 loss_text: 0.6581 loss_center: 2.7432 loss_reg_x: 0.8250 loss_reg_y: 0.8024 loss: 5.0287 2022/08/26 01:18:01 - mmengine - INFO - Epoch(train) [139][70/125] lr: 9.1676e-04 eta: 1 day, 2:41:10 time: 0.4813 data_time: 0.0157 memory: 9483 loss_text: 0.7189 loss_center: 2.8041 loss_reg_x: 0.9010 loss_reg_y: 0.9348 loss: 5.3587 2022/08/26 01:18:04 - mmengine - INFO - Epoch(train) [139][75/125] lr: 9.1676e-04 eta: 1 day, 2:41:10 time: 0.5405 data_time: 0.0155 memory: 9483 loss_text: 0.6599 loss_center: 2.7870 loss_reg_x: 0.9678 loss_reg_y: 0.9123 loss: 5.3271 2022/08/26 01:18:07 - mmengine - INFO - Epoch(train) [139][80/125] lr: 9.1676e-04 eta: 1 day, 2:41:04 time: 0.5601 data_time: 0.0127 memory: 9483 loss_text: 0.6197 loss_center: 2.7496 loss_reg_x: 0.8661 loss_reg_y: 0.7233 loss: 4.9588 2022/08/26 01:18:10 - mmengine - INFO - Epoch(train) [139][85/125] lr: 9.1676e-04 eta: 1 day, 2:41:04 time: 0.5246 data_time: 0.0133 memory: 9483 loss_text: 0.6664 loss_center: 2.7733 loss_reg_x: 0.7923 loss_reg_y: 0.8030 loss: 5.0351 2022/08/26 01:18:12 - mmengine - INFO - Epoch(train) [139][90/125] lr: 9.1676e-04 eta: 1 day, 2:40:53 time: 0.5154 data_time: 0.0159 memory: 9483 loss_text: 0.6741 loss_center: 2.7820 loss_reg_x: 0.8054 loss_reg_y: 0.8873 loss: 5.1489 2022/08/26 01:18:18 - mmengine - INFO - Epoch(train) [139][95/125] lr: 9.1676e-04 eta: 1 day, 2:40:53 time: 0.8334 data_time: 0.0149 memory: 9483 loss_text: 0.6277 loss_center: 2.7601 loss_reg_x: 0.7208 loss_reg_y: 0.7328 loss: 4.8414 2022/08/26 01:18:20 - mmengine - INFO - Epoch(train) [139][100/125] lr: 9.1676e-04 eta: 1 day, 2:41:12 time: 0.8127 data_time: 0.0130 memory: 9483 loss_text: 0.7965 loss_center: 2.7916 loss_reg_x: 1.0511 loss_reg_y: 0.8756 loss: 5.5148 2022/08/26 01:18:23 - mmengine - INFO - Epoch(train) [139][105/125] lr: 9.1676e-04 eta: 1 day, 2:41:12 time: 0.5132 data_time: 0.0198 memory: 9483 loss_text: 0.8654 loss_center: 2.7981 loss_reg_x: 1.2273 loss_reg_y: 1.0382 loss: 5.9290 2022/08/26 01:18:25 - mmengine - INFO - Epoch(train) [139][110/125] lr: 9.1676e-04 eta: 1 day, 2:41:00 time: 0.5071 data_time: 0.0195 memory: 9483 loss_text: 0.7304 loss_center: 2.6851 loss_reg_x: 1.0221 loss_reg_y: 0.9358 loss: 5.3735 2022/08/26 01:18:28 - mmengine - INFO - Epoch(train) [139][115/125] lr: 9.1676e-04 eta: 1 day, 2:41:00 time: 0.4754 data_time: 0.0126 memory: 9483 loss_text: 0.7913 loss_center: 2.7072 loss_reg_x: 1.1634 loss_reg_y: 1.1488 loss: 5.8107 2022/08/26 01:18:30 - mmengine - INFO - Epoch(train) [139][120/125] lr: 9.1676e-04 eta: 1 day, 2:40:46 time: 0.4711 data_time: 0.0140 memory: 9483 loss_text: 0.8284 loss_center: 2.8054 loss_reg_x: 1.0938 loss_reg_y: 1.2195 loss: 5.9471 2022/08/26 01:18:33 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:18:33 - mmengine - INFO - Epoch(train) [139][125/125] lr: 9.1676e-04 eta: 1 day, 2:40:46 time: 0.4961 data_time: 0.0142 memory: 9483 loss_text: 0.7937 loss_center: 2.7949 loss_reg_x: 0.9377 loss_reg_y: 1.1785 loss: 5.7048 2022/08/26 01:18:37 - mmengine - INFO - Epoch(train) [140][5/125] lr: 9.1615e-04 eta: 1 day, 2:40:46 time: 0.7310 data_time: 0.0910 memory: 9483 loss_text: 0.7808 loss_center: 2.8095 loss_reg_x: 0.9325 loss_reg_y: 1.1496 loss: 5.6724 2022/08/26 01:18:40 - mmengine - INFO - Epoch(train) [140][10/125] lr: 9.1615e-04 eta: 1 day, 2:40:26 time: 0.7334 data_time: 0.0906 memory: 9483 loss_text: 0.7821 loss_center: 2.8028 loss_reg_x: 0.9770 loss_reg_y: 1.1357 loss: 5.6976 2022/08/26 01:18:43 - mmengine - INFO - Epoch(train) [140][15/125] lr: 9.1615e-04 eta: 1 day, 2:40:26 time: 0.5085 data_time: 0.0121 memory: 9483 loss_text: 0.7644 loss_center: 2.8044 loss_reg_x: 0.9732 loss_reg_y: 1.1715 loss: 5.7135 2022/08/26 01:18:46 - mmengine - INFO - Epoch(train) [140][20/125] lr: 9.1615e-04 eta: 1 day, 2:40:18 time: 0.5401 data_time: 0.0121 memory: 9483 loss_text: 0.7248 loss_center: 2.8020 loss_reg_x: 0.8473 loss_reg_y: 0.8706 loss: 5.2447 2022/08/26 01:18:48 - mmengine - INFO - Epoch(train) [140][25/125] lr: 9.1615e-04 eta: 1 day, 2:40:18 time: 0.5467 data_time: 0.0141 memory: 9483 loss_text: 0.8076 loss_center: 2.7937 loss_reg_x: 1.0114 loss_reg_y: 0.9578 loss: 5.5706 2022/08/26 01:18:51 - mmengine - INFO - Epoch(train) [140][30/125] lr: 9.1615e-04 eta: 1 day, 2:40:06 time: 0.5010 data_time: 0.0198 memory: 9483 loss_text: 0.7655 loss_center: 2.8042 loss_reg_x: 0.9954 loss_reg_y: 1.1031 loss: 5.6682 2022/08/26 01:18:53 - mmengine - INFO - Epoch(train) [140][35/125] lr: 9.1615e-04 eta: 1 day, 2:40:06 time: 0.4921 data_time: 0.0185 memory: 9483 loss_text: 0.6998 loss_center: 2.7962 loss_reg_x: 0.7618 loss_reg_y: 0.8391 loss: 5.0968 2022/08/26 01:18:57 - mmengine - INFO - Epoch(train) [140][40/125] lr: 9.1615e-04 eta: 1 day, 2:40:12 time: 0.6842 data_time: 0.0133 memory: 9483 loss_text: 0.8031 loss_center: 2.7995 loss_reg_x: 0.9154 loss_reg_y: 0.9324 loss: 5.4503 2022/08/26 01:19:00 - mmengine - INFO - Epoch(train) [140][45/125] lr: 9.1615e-04 eta: 1 day, 2:40:12 time: 0.6869 data_time: 0.0159 memory: 9483 loss_text: 0.8295 loss_center: 2.8031 loss_reg_x: 0.9396 loss_reg_y: 1.0434 loss: 5.6156 2022/08/26 01:19:02 - mmengine - INFO - Epoch(train) [140][50/125] lr: 9.1615e-04 eta: 1 day, 2:40:01 time: 0.5083 data_time: 0.0164 memory: 9483 loss_text: 0.7948 loss_center: 2.7944 loss_reg_x: 0.8282 loss_reg_y: 0.9160 loss: 5.3334 2022/08/26 01:19:05 - mmengine - INFO - Epoch(train) [140][55/125] lr: 9.1615e-04 eta: 1 day, 2:40:01 time: 0.5285 data_time: 0.0144 memory: 9483 loss_text: 0.7722 loss_center: 2.7921 loss_reg_x: 0.9269 loss_reg_y: 1.0147 loss: 5.5059 2022/08/26 01:19:08 - mmengine - INFO - Epoch(train) [140][60/125] lr: 9.1615e-04 eta: 1 day, 2:39:51 time: 0.5176 data_time: 0.0132 memory: 9483 loss_text: 0.7799 loss_center: 2.7983 loss_reg_x: 1.0236 loss_reg_y: 1.0100 loss: 5.6119 2022/08/26 01:19:10 - mmengine - INFO - Epoch(train) [140][65/125] lr: 9.1615e-04 eta: 1 day, 2:39:51 time: 0.4977 data_time: 0.0158 memory: 9483 loss_text: 0.8471 loss_center: 2.7695 loss_reg_x: 1.1310 loss_reg_y: 1.1364 loss: 5.8840 2022/08/26 01:19:13 - mmengine - INFO - Epoch(train) [140][70/125] lr: 9.1615e-04 eta: 1 day, 2:39:40 time: 0.5116 data_time: 0.0171 memory: 9483 loss_text: 0.8790 loss_center: 2.7689 loss_reg_x: 1.2559 loss_reg_y: 1.2271 loss: 6.1310 2022/08/26 01:19:17 - mmengine - INFO - Epoch(train) [140][75/125] lr: 9.1615e-04 eta: 1 day, 2:39:40 time: 0.7062 data_time: 0.0135 memory: 9483 loss_text: 0.8351 loss_center: 2.7961 loss_reg_x: 1.2120 loss_reg_y: 1.1224 loss: 5.9655 2022/08/26 01:19:19 - mmengine - INFO - Epoch(train) [140][80/125] lr: 9.1615e-04 eta: 1 day, 2:39:45 time: 0.6756 data_time: 0.0128 memory: 9483 loss_text: 0.7536 loss_center: 2.7968 loss_reg_x: 1.0459 loss_reg_y: 1.0320 loss: 5.6284 2022/08/26 01:19:22 - mmengine - INFO - Epoch(train) [140][85/125] lr: 9.1615e-04 eta: 1 day, 2:39:45 time: 0.4779 data_time: 0.0165 memory: 9483 loss_text: 0.7583 loss_center: 2.8134 loss_reg_x: 1.0260 loss_reg_y: 1.2457 loss: 5.8434 2022/08/26 01:19:25 - mmengine - INFO - Epoch(train) [140][90/125] lr: 9.1615e-04 eta: 1 day, 2:39:36 time: 0.5285 data_time: 0.0161 memory: 9483 loss_text: 0.7542 loss_center: 2.8102 loss_reg_x: 1.0267 loss_reg_y: 1.2694 loss: 5.8605 2022/08/26 01:19:28 - mmengine - INFO - Epoch(train) [140][95/125] lr: 9.1615e-04 eta: 1 day, 2:39:36 time: 0.5685 data_time: 0.0137 memory: 9483 loss_text: 0.6665 loss_center: 2.7859 loss_reg_x: 0.9007 loss_reg_y: 0.8907 loss: 5.2439 2022/08/26 01:19:30 - mmengine - INFO - Epoch(train) [140][100/125] lr: 9.1615e-04 eta: 1 day, 2:39:29 time: 0.5467 data_time: 0.0142 memory: 9483 loss_text: 0.6700 loss_center: 2.7679 loss_reg_x: 0.8933 loss_reg_y: 0.8395 loss: 5.1707 2022/08/26 01:19:33 - mmengine - INFO - Epoch(train) [140][105/125] lr: 9.1615e-04 eta: 1 day, 2:39:29 time: 0.5223 data_time: 0.0200 memory: 9483 loss_text: 0.7328 loss_center: 2.7656 loss_reg_x: 0.9149 loss_reg_y: 0.8498 loss: 5.2631 2022/08/26 01:19:38 - mmengine - INFO - Epoch(train) [140][110/125] lr: 9.1615e-04 eta: 1 day, 2:39:42 time: 0.7536 data_time: 0.0233 memory: 9483 loss_text: 0.6901 loss_center: 2.7703 loss_reg_x: 0.8257 loss_reg_y: 0.8028 loss: 5.0889 2022/08/26 01:19:40 - mmengine - INFO - Epoch(train) [140][115/125] lr: 9.1615e-04 eta: 1 day, 2:39:42 time: 0.7366 data_time: 0.0168 memory: 9483 loss_text: 0.6907 loss_center: 2.8002 loss_reg_x: 0.8383 loss_reg_y: 0.7995 loss: 5.1287 2022/08/26 01:19:43 - mmengine - INFO - Epoch(train) [140][120/125] lr: 9.1615e-04 eta: 1 day, 2:39:29 time: 0.4920 data_time: 0.0131 memory: 9483 loss_text: 0.7809 loss_center: 2.8180 loss_reg_x: 0.9770 loss_reg_y: 0.8893 loss: 5.4652 2022/08/26 01:19:46 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:19:46 - mmengine - INFO - Epoch(train) [140][125/125] lr: 9.1615e-04 eta: 1 day, 2:39:29 time: 0.5933 data_time: 0.0148 memory: 9483 loss_text: 0.7877 loss_center: 2.7891 loss_reg_x: 1.0088 loss_reg_y: 0.9463 loss: 5.5319 2022/08/26 01:19:46 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/26 01:19:52 - mmengine - INFO - Epoch(val) [140][5/500] eta: 1 day, 2:39:29 time: 0.1722 data_time: 0.0276 memory: 602 2022/08/26 01:19:53 - mmengine - INFO - Epoch(val) [140][10/500] eta: 0:01:30 time: 0.1856 data_time: 0.0038 memory: 602 2022/08/26 01:19:53 - mmengine - INFO - Epoch(val) [140][15/500] eta: 0:01:30 time: 0.1757 data_time: 0.0017 memory: 587 2022/08/26 01:19:54 - mmengine - INFO - Epoch(val) [140][20/500] eta: 0:01:15 time: 0.1566 data_time: 0.0018 memory: 602 2022/08/26 01:19:55 - mmengine - INFO - Epoch(val) [140][25/500] eta: 0:01:15 time: 0.1368 data_time: 0.0018 memory: 602 2022/08/26 01:19:55 - mmengine - INFO - Epoch(val) [140][30/500] eta: 0:00:58 time: 0.1248 data_time: 0.0017 memory: 602 2022/08/26 01:19:56 - mmengine - INFO - Epoch(val) [140][35/500] eta: 0:00:58 time: 0.1253 data_time: 0.0018 memory: 602 2022/08/26 01:19:57 - mmengine - INFO - Epoch(val) [140][40/500] eta: 0:00:57 time: 0.1243 data_time: 0.0019 memory: 602 2022/08/26 01:19:57 - mmengine - INFO - Epoch(val) [140][45/500] eta: 0:00:57 time: 0.1092 data_time: 0.0018 memory: 587 2022/08/26 01:19:58 - mmengine - INFO - Epoch(val) [140][50/500] eta: 0:00:57 time: 0.1276 data_time: 0.0017 memory: 587 2022/08/26 01:19:59 - mmengine - INFO - Epoch(val) [140][55/500] eta: 0:00:57 time: 0.1499 data_time: 0.0018 memory: 602 2022/08/26 01:19:59 - mmengine - INFO - Epoch(val) [140][60/500] eta: 0:01:03 time: 0.1442 data_time: 0.0017 memory: 602 2022/08/26 01:20:00 - mmengine - INFO - Epoch(val) [140][65/500] eta: 0:01:03 time: 0.1272 data_time: 0.0016 memory: 602 2022/08/26 01:20:00 - mmengine - INFO - Epoch(val) [140][70/500] eta: 0:00:50 time: 0.1169 data_time: 0.0016 memory: 602 2022/08/26 01:20:01 - mmengine - INFO - Epoch(val) [140][75/500] eta: 0:00:50 time: 0.1383 data_time: 0.0016 memory: 602 2022/08/26 01:20:02 - mmengine - INFO - Epoch(val) [140][80/500] eta: 0:01:00 time: 0.1440 data_time: 0.0192 memory: 602 2022/08/26 01:20:02 - mmengine - INFO - Epoch(val) [140][85/500] eta: 0:01:00 time: 0.1231 data_time: 0.0191 memory: 602 2022/08/26 01:20:03 - mmengine - INFO - Epoch(val) [140][90/500] eta: 0:00:49 time: 0.1207 data_time: 0.0015 memory: 587 2022/08/26 01:20:04 - mmengine - INFO - Epoch(val) [140][95/500] eta: 0:00:49 time: 0.1335 data_time: 0.0016 memory: 602 2022/08/26 01:20:05 - mmengine - INFO - Epoch(val) [140][100/500] eta: 0:01:29 time: 0.2242 data_time: 0.0175 memory: 602 2022/08/26 01:20:06 - mmengine - INFO - Epoch(val) [140][105/500] eta: 0:01:29 time: 0.2232 data_time: 0.0207 memory: 602 2022/08/26 01:20:06 - mmengine - INFO - Epoch(val) [140][110/500] eta: 0:00:42 time: 0.1102 data_time: 0.0048 memory: 602 2022/08/26 01:20:07 - mmengine - INFO - Epoch(val) [140][115/500] eta: 0:00:42 time: 0.0944 data_time: 0.0016 memory: 602 2022/08/26 01:20:08 - mmengine - INFO - Epoch(val) [140][120/500] eta: 0:00:50 time: 0.1319 data_time: 0.0113 memory: 602 2022/08/26 01:20:09 - mmengine - INFO - Epoch(val) [140][125/500] eta: 0:00:50 time: 0.1820 data_time: 0.0146 memory: 602 2022/08/26 01:20:09 - mmengine - INFO - Epoch(val) [140][130/500] eta: 0:00:59 time: 0.1599 data_time: 0.0050 memory: 602 2022/08/26 01:20:10 - mmengine - INFO - Epoch(val) [140][135/500] eta: 0:00:59 time: 0.1129 data_time: 0.0017 memory: 602 2022/08/26 01:20:11 - mmengine - INFO - Epoch(val) [140][140/500] eta: 0:00:46 time: 0.1286 data_time: 0.0015 memory: 587 2022/08/26 01:20:11 - mmengine - INFO - Epoch(val) [140][145/500] eta: 0:00:46 time: 0.1143 data_time: 0.0015 memory: 602 2022/08/26 01:20:12 - mmengine - INFO - Epoch(val) [140][150/500] eta: 0:00:32 time: 0.0915 data_time: 0.0016 memory: 587 2022/08/26 01:20:12 - mmengine - INFO - Epoch(val) [140][155/500] eta: 0:00:32 time: 0.1032 data_time: 0.0016 memory: 602 2022/08/26 01:20:13 - mmengine - INFO - Epoch(val) [140][160/500] eta: 0:00:32 time: 0.0962 data_time: 0.0016 memory: 602 2022/08/26 01:20:13 - mmengine - INFO - Epoch(val) [140][165/500] eta: 0:00:32 time: 0.1061 data_time: 0.0016 memory: 602 2022/08/26 01:20:14 - mmengine - INFO - Epoch(val) [140][170/500] eta: 0:00:41 time: 0.1265 data_time: 0.0015 memory: 587 2022/08/26 01:20:14 - mmengine - INFO - Epoch(val) [140][175/500] eta: 0:00:41 time: 0.0917 data_time: 0.0016 memory: 602 2022/08/26 01:20:15 - mmengine - INFO - Epoch(val) [140][180/500] eta: 0:00:32 time: 0.1011 data_time: 0.0016 memory: 602 2022/08/26 01:20:15 - mmengine - INFO - Epoch(val) [140][185/500] eta: 0:00:32 time: 0.1277 data_time: 0.0016 memory: 602 2022/08/26 01:20:16 - mmengine - INFO - Epoch(val) [140][190/500] eta: 0:00:37 time: 0.1207 data_time: 0.0017 memory: 602 2022/08/26 01:20:17 - mmengine - INFO - Epoch(val) [140][195/500] eta: 0:00:37 time: 0.1152 data_time: 0.0017 memory: 602 2022/08/26 01:20:17 - mmengine - INFO - Epoch(val) [140][200/500] eta: 0:00:35 time: 0.1196 data_time: 0.0016 memory: 602 2022/08/26 01:20:18 - mmengine - INFO - Epoch(val) [140][205/500] eta: 0:00:35 time: 0.1336 data_time: 0.0017 memory: 602 2022/08/26 01:20:18 - mmengine - INFO - Epoch(val) [140][210/500] eta: 0:00:33 time: 0.1161 data_time: 0.0017 memory: 602 2022/08/26 01:20:19 - mmengine - INFO - Epoch(val) [140][215/500] eta: 0:00:33 time: 0.0959 data_time: 0.0018 memory: 602 2022/08/26 01:20:19 - mmengine - INFO - Epoch(val) [140][220/500] eta: 0:00:27 time: 0.0982 data_time: 0.0018 memory: 587 2022/08/26 01:20:20 - mmengine - INFO - Epoch(val) [140][225/500] eta: 0:00:27 time: 0.0899 data_time: 0.0017 memory: 602 2022/08/26 01:20:21 - mmengine - INFO - Epoch(val) [140][230/500] eta: 0:00:42 time: 0.1585 data_time: 0.0017 memory: 602 2022/08/26 01:20:22 - mmengine - INFO - Epoch(val) [140][235/500] eta: 0:00:42 time: 0.1909 data_time: 0.0017 memory: 602 2022/08/26 01:20:22 - mmengine - INFO - Epoch(val) [140][240/500] eta: 0:00:32 time: 0.1239 data_time: 0.0017 memory: 602 2022/08/26 01:20:23 - mmengine - INFO - Epoch(val) [140][245/500] eta: 0:00:32 time: 0.1175 data_time: 0.0017 memory: 597 2022/08/26 01:20:23 - mmengine - INFO - Epoch(val) [140][250/500] eta: 0:00:28 time: 0.1130 data_time: 0.0016 memory: 602 2022/08/26 01:20:26 - mmengine - INFO - Epoch(val) [140][255/500] eta: 0:00:28 time: 0.3432 data_time: 0.0123 memory: 602 2022/08/26 01:20:27 - mmengine - INFO - Epoch(val) [140][260/500] eta: 0:01:21 time: 0.3382 data_time: 0.0124 memory: 602 2022/08/26 01:20:27 - mmengine - INFO - Epoch(val) [140][265/500] eta: 0:01:21 time: 0.0989 data_time: 0.0016 memory: 587 2022/08/26 01:20:28 - mmengine - INFO - Epoch(val) [140][270/500] eta: 0:00:25 time: 0.1128 data_time: 0.0016 memory: 602 2022/08/26 01:20:29 - mmengine - INFO - Epoch(val) [140][275/500] eta: 0:00:25 time: 0.1296 data_time: 0.0017 memory: 602 2022/08/26 01:20:29 - mmengine - INFO - Epoch(val) [140][280/500] eta: 0:00:22 time: 0.1037 data_time: 0.0017 memory: 592 2022/08/26 01:20:29 - mmengine - INFO - Epoch(val) [140][285/500] eta: 0:00:22 time: 0.0826 data_time: 0.0017 memory: 597 2022/08/26 01:20:30 - mmengine - INFO - Epoch(val) [140][290/500] eta: 0:00:23 time: 0.1113 data_time: 0.0017 memory: 587 2022/08/26 01:20:31 - mmengine - INFO - Epoch(val) [140][295/500] eta: 0:00:23 time: 0.1172 data_time: 0.0017 memory: 602 2022/08/26 01:20:31 - mmengine - INFO - Epoch(val) [140][300/500] eta: 0:00:22 time: 0.1142 data_time: 0.0038 memory: 602 2022/08/26 01:20:31 - mmengine - INFO - Epoch(val) [140][305/500] eta: 0:00:22 time: 0.0883 data_time: 0.0036 memory: 602 2022/08/26 01:20:32 - mmengine - INFO - Epoch(val) [140][310/500] eta: 0:00:14 time: 0.0757 data_time: 0.0014 memory: 602 2022/08/26 01:20:33 - mmengine - INFO - Epoch(val) [140][315/500] eta: 0:00:14 time: 0.1131 data_time: 0.0016 memory: 602 2022/08/26 01:20:33 - mmengine - INFO - Epoch(val) [140][320/500] eta: 0:00:23 time: 0.1311 data_time: 0.0018 memory: 602 2022/08/26 01:20:34 - mmengine - INFO - Epoch(val) [140][325/500] eta: 0:00:23 time: 0.1153 data_time: 0.0018 memory: 602 2022/08/26 01:20:35 - mmengine - INFO - Epoch(val) [140][330/500] eta: 0:00:32 time: 0.1909 data_time: 0.0021 memory: 602 2022/08/26 01:20:36 - mmengine - INFO - Epoch(val) [140][335/500] eta: 0:00:32 time: 0.2242 data_time: 0.0027 memory: 602 2022/08/26 01:20:37 - mmengine - INFO - Epoch(val) [140][340/500] eta: 0:00:26 time: 0.1645 data_time: 0.0023 memory: 602 2022/08/26 01:20:37 - mmengine - INFO - Epoch(val) [140][345/500] eta: 0:00:26 time: 0.1308 data_time: 0.0016 memory: 602 2022/08/26 01:20:38 - mmengine - INFO - Epoch(val) [140][350/500] eta: 0:00:22 time: 0.1493 data_time: 0.0032 memory: 602 2022/08/26 01:20:39 - mmengine - INFO - Epoch(val) [140][355/500] eta: 0:00:22 time: 0.1851 data_time: 0.0032 memory: 594 2022/08/26 01:20:40 - mmengine - INFO - Epoch(val) [140][360/500] eta: 0:00:19 time: 0.1393 data_time: 0.0016 memory: 602 2022/08/26 01:20:40 - mmengine - INFO - Epoch(val) [140][365/500] eta: 0:00:19 time: 0.1191 data_time: 0.0016 memory: 602 2022/08/26 01:20:41 - mmengine - INFO - Epoch(val) [140][370/500] eta: 0:00:14 time: 0.1124 data_time: 0.0016 memory: 602 2022/08/26 01:20:41 - mmengine - INFO - Epoch(val) [140][375/500] eta: 0:00:14 time: 0.0850 data_time: 0.0016 memory: 587 2022/08/26 01:20:42 - mmengine - INFO - Epoch(val) [140][380/500] eta: 0:00:12 time: 0.1027 data_time: 0.0017 memory: 602 2022/08/26 01:20:42 - mmengine - INFO - Epoch(val) [140][385/500] eta: 0:00:12 time: 0.1057 data_time: 0.0017 memory: 602 2022/08/26 01:20:43 - mmengine - INFO - Epoch(val) [140][390/500] eta: 0:00:12 time: 0.1142 data_time: 0.0016 memory: 602 2022/08/26 01:20:44 - mmengine - INFO - Epoch(val) [140][395/500] eta: 0:00:12 time: 0.1842 data_time: 0.0020 memory: 602 2022/08/26 01:20:46 - mmengine - INFO - Epoch(val) [140][400/500] eta: 0:00:27 time: 0.2795 data_time: 0.0021 memory: 602 2022/08/26 01:20:46 - mmengine - INFO - Epoch(val) [140][405/500] eta: 0:00:27 time: 0.2252 data_time: 0.0028 memory: 602 2022/08/26 01:20:47 - mmengine - INFO - Epoch(val) [140][410/500] eta: 0:00:10 time: 0.1187 data_time: 0.0026 memory: 602 2022/08/26 01:20:48 - mmengine - INFO - Epoch(val) [140][415/500] eta: 0:00:10 time: 0.1411 data_time: 0.0015 memory: 602 2022/08/26 01:20:48 - mmengine - INFO - Epoch(val) [140][420/500] eta: 0:00:12 time: 0.1557 data_time: 0.0015 memory: 602 2022/08/26 01:20:49 - mmengine - INFO - Epoch(val) [140][425/500] eta: 0:00:12 time: 0.1410 data_time: 0.0016 memory: 602 2022/08/26 01:20:50 - mmengine - INFO - Epoch(val) [140][430/500] eta: 0:00:08 time: 0.1234 data_time: 0.0016 memory: 602 2022/08/26 01:20:50 - mmengine - INFO - Epoch(val) [140][435/500] eta: 0:00:08 time: 0.1281 data_time: 0.0018 memory: 597 2022/08/26 01:20:51 - mmengine - INFO - Epoch(val) [140][440/500] eta: 0:00:08 time: 0.1414 data_time: 0.0019 memory: 602 2022/08/26 01:20:52 - mmengine - INFO - Epoch(val) [140][445/500] eta: 0:00:08 time: 0.1227 data_time: 0.0019 memory: 602 2022/08/26 01:20:52 - mmengine - INFO - Epoch(val) [140][450/500] eta: 0:00:04 time: 0.0948 data_time: 0.0019 memory: 602 2022/08/26 01:20:53 - mmengine - INFO - Epoch(val) [140][455/500] eta: 0:00:04 time: 0.1313 data_time: 0.0184 memory: 602 2022/08/26 01:20:54 - mmengine - INFO - Epoch(val) [140][460/500] eta: 0:00:05 time: 0.1490 data_time: 0.0183 memory: 597 2022/08/26 01:20:54 - mmengine - INFO - Epoch(val) [140][465/500] eta: 0:00:05 time: 0.1204 data_time: 0.0017 memory: 602 2022/08/26 01:20:55 - mmengine - INFO - Epoch(val) [140][470/500] eta: 0:00:03 time: 0.1184 data_time: 0.0018 memory: 602 2022/08/26 01:20:55 - mmengine - INFO - Epoch(val) [140][475/500] eta: 0:00:03 time: 0.1141 data_time: 0.0019 memory: 602 2022/08/26 01:20:56 - mmengine - INFO - Epoch(val) [140][480/500] eta: 0:00:01 time: 0.0992 data_time: 0.0018 memory: 587 2022/08/26 01:20:56 - mmengine - INFO - Epoch(val) [140][485/500] eta: 0:00:01 time: 0.0910 data_time: 0.0019 memory: 602 2022/08/26 01:20:57 - mmengine - INFO - Epoch(val) [140][490/500] eta: 0:00:00 time: 0.0886 data_time: 0.0018 memory: 602 2022/08/26 01:20:57 - mmengine - INFO - Epoch(val) [140][495/500] eta: 0:00:00 time: 0.0993 data_time: 0.0017 memory: 587 2022/08/26 01:20:58 - mmengine - INFO - Epoch(val) [140][500/500] eta: 0:00:00 time: 0.1087 data_time: 0.0017 memory: 587 2022/08/26 01:20:58 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 01:20:58 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7974, precision: 0.7535, hmean: 0.7748 2022/08/26 01:20:58 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7886, precision: 0.7775, hmean: 0.7830 2022/08/26 01:20:58 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7828, precision: 0.7960, hmean: 0.7893 2022/08/26 01:20:58 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7733, precision: 0.8130, hmean: 0.7927 2022/08/26 01:20:58 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7593, precision: 0.8310, hmean: 0.7935 2022/08/26 01:20:58 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7392, precision: 0.8497, hmean: 0.7906 2022/08/26 01:20:58 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6784, precision: 0.8824, hmean: 0.7671 2022/08/26 01:20:58 - mmengine - INFO - Epoch(val) [140][500/500] icdar/precision: 0.8310 icdar/recall: 0.7593 icdar/hmean: 0.7935 2022/08/26 01:21:02 - mmengine - INFO - Epoch(train) [141][5/125] lr: 9.1555e-04 eta: 0:00:00 time: 0.7631 data_time: 0.1484 memory: 9483 loss_text: 0.7185 loss_center: 2.7677 loss_reg_x: 0.8616 loss_reg_y: 0.8975 loss: 5.2454 2022/08/26 01:21:05 - mmengine - INFO - Epoch(train) [141][10/125] lr: 9.1555e-04 eta: 1 day, 2:39:05 time: 0.6908 data_time: 0.1459 memory: 9483 loss_text: 0.6912 loss_center: 2.7826 loss_reg_x: 0.8275 loss_reg_y: 0.8841 loss: 5.1855 2022/08/26 01:21:07 - mmengine - INFO - Epoch(train) [141][15/125] lr: 9.1555e-04 eta: 1 day, 2:39:05 time: 0.5340 data_time: 0.0124 memory: 9483 loss_text: 0.7631 loss_center: 2.7946 loss_reg_x: 1.0362 loss_reg_y: 1.0661 loss: 5.6601 2022/08/26 01:21:10 - mmengine - INFO - Epoch(train) [141][20/125] lr: 9.1555e-04 eta: 1 day, 2:38:55 time: 0.5209 data_time: 0.0126 memory: 9483 loss_text: 0.7382 loss_center: 2.8126 loss_reg_x: 1.1527 loss_reg_y: 1.1875 loss: 5.8910 2022/08/26 01:21:12 - mmengine - INFO - Epoch(train) [141][25/125] lr: 9.1555e-04 eta: 1 day, 2:38:55 time: 0.4983 data_time: 0.0145 memory: 9483 loss_text: 0.7902 loss_center: 2.8336 loss_reg_x: 1.1705 loss_reg_y: 1.1164 loss: 5.9107 2022/08/26 01:21:16 - mmengine - INFO - Epoch(train) [141][30/125] lr: 9.1555e-04 eta: 1 day, 2:38:52 time: 0.5878 data_time: 0.0146 memory: 9483 loss_text: 0.8462 loss_center: 2.8019 loss_reg_x: 1.2890 loss_reg_y: 1.2362 loss: 6.1733 2022/08/26 01:21:18 - mmengine - INFO - Epoch(train) [141][35/125] lr: 9.1555e-04 eta: 1 day, 2:38:52 time: 0.5875 data_time: 0.0132 memory: 9483 loss_text: 0.9303 loss_center: 2.7768 loss_reg_x: 1.3029 loss_reg_y: 1.1830 loss: 6.1930 2022/08/26 01:21:21 - mmengine - INFO - Epoch(train) [141][40/125] lr: 9.1555e-04 eta: 1 day, 2:38:41 time: 0.5066 data_time: 0.0145 memory: 9483 loss_text: 1.0170 loss_center: 2.7934 loss_reg_x: 1.1769 loss_reg_y: 0.9646 loss: 5.9520 2022/08/26 01:21:23 - mmengine - INFO - Epoch(train) [141][45/125] lr: 9.1555e-04 eta: 1 day, 2:38:41 time: 0.5111 data_time: 0.0157 memory: 9483 loss_text: 0.8531 loss_center: 2.8098 loss_reg_x: 1.0644 loss_reg_y: 0.8960 loss: 5.6232 2022/08/26 01:21:26 - mmengine - INFO - Epoch(train) [141][50/125] lr: 9.1555e-04 eta: 1 day, 2:38:33 time: 0.5377 data_time: 0.0157 memory: 9483 loss_text: 0.7295 loss_center: 2.8016 loss_reg_x: 1.0053 loss_reg_y: 0.9157 loss: 5.4520 2022/08/26 01:21:29 - mmengine - INFO - Epoch(train) [141][55/125] lr: 9.1555e-04 eta: 1 day, 2:38:33 time: 0.5170 data_time: 0.0145 memory: 9483 loss_text: 0.8255 loss_center: 2.8015 loss_reg_x: 1.0564 loss_reg_y: 0.9637 loss: 5.6471 2022/08/26 01:21:31 - mmengine - INFO - Epoch(train) [141][60/125] lr: 9.1555e-04 eta: 1 day, 2:38:17 time: 0.4670 data_time: 0.0129 memory: 9483 loss_text: 0.8352 loss_center: 2.8132 loss_reg_x: 0.9939 loss_reg_y: 0.9179 loss: 5.5602 2022/08/26 01:21:34 - mmengine - INFO - Epoch(train) [141][65/125] lr: 9.1555e-04 eta: 1 day, 2:38:17 time: 0.5006 data_time: 0.0160 memory: 9483 loss_text: 0.7953 loss_center: 2.8048 loss_reg_x: 1.0510 loss_reg_y: 0.9748 loss: 5.6258 2022/08/26 01:21:37 - mmengine - INFO - Epoch(train) [141][70/125] lr: 9.1555e-04 eta: 1 day, 2:38:17 time: 0.6190 data_time: 0.0198 memory: 9483 loss_text: 0.9588 loss_center: 2.8137 loss_reg_x: 1.2153 loss_reg_y: 1.0785 loss: 6.0663 2022/08/26 01:21:40 - mmengine - INFO - Epoch(train) [141][75/125] lr: 9.1555e-04 eta: 1 day, 2:38:17 time: 0.6248 data_time: 0.0172 memory: 9483 loss_text: 0.9650 loss_center: 2.8004 loss_reg_x: 1.1494 loss_reg_y: 0.9319 loss: 5.8467 2022/08/26 01:21:42 - mmengine - INFO - Epoch(train) [141][80/125] lr: 9.1555e-04 eta: 1 day, 2:38:07 time: 0.5155 data_time: 0.0134 memory: 9483 loss_text: 0.9072 loss_center: 2.8143 loss_reg_x: 1.0739 loss_reg_y: 1.0178 loss: 5.8132 2022/08/26 01:21:46 - mmengine - INFO - Epoch(train) [141][85/125] lr: 9.1555e-04 eta: 1 day, 2:38:07 time: 0.6086 data_time: 0.0389 memory: 9483 loss_text: 0.8787 loss_center: 2.8351 loss_reg_x: 1.0455 loss_reg_y: 1.1128 loss: 5.8721 2022/08/26 01:21:49 - mmengine - INFO - Epoch(train) [141][90/125] lr: 9.1555e-04 eta: 1 day, 2:38:16 time: 0.7225 data_time: 0.0669 memory: 9483 loss_text: 0.8038 loss_center: 2.8350 loss_reg_x: 1.0143 loss_reg_y: 1.1000 loss: 5.7532 2022/08/26 01:21:52 - mmengine - INFO - Epoch(train) [141][95/125] lr: 9.1555e-04 eta: 1 day, 2:38:16 time: 0.6064 data_time: 0.0426 memory: 9483 loss_text: 0.7871 loss_center: 2.8330 loss_reg_x: 0.9447 loss_reg_y: 1.0389 loss: 5.6037 2022/08/26 01:21:54 - mmengine - INFO - Epoch(train) [141][100/125] lr: 9.1555e-04 eta: 1 day, 2:38:04 time: 0.4913 data_time: 0.0146 memory: 9483 loss_text: 0.8263 loss_center: 2.8138 loss_reg_x: 1.0295 loss_reg_y: 0.9183 loss: 5.5879 2022/08/26 01:21:57 - mmengine - INFO - Epoch(train) [141][105/125] lr: 9.1555e-04 eta: 1 day, 2:38:04 time: 0.4983 data_time: 0.0142 memory: 9483 loss_text: 0.8332 loss_center: 2.8019 loss_reg_x: 1.0937 loss_reg_y: 0.9523 loss: 5.6811 2022/08/26 01:21:59 - mmengine - INFO - Epoch(train) [141][110/125] lr: 9.1555e-04 eta: 1 day, 2:37:52 time: 0.5015 data_time: 0.0142 memory: 9483 loss_text: 0.8019 loss_center: 2.8107 loss_reg_x: 1.0231 loss_reg_y: 0.8395 loss: 5.4752 2022/08/26 01:22:02 - mmengine - INFO - Epoch(train) [141][115/125] lr: 9.1555e-04 eta: 1 day, 2:37:52 time: 0.5152 data_time: 0.0123 memory: 9483 loss_text: 0.8756 loss_center: 2.8171 loss_reg_x: 1.1387 loss_reg_y: 0.9220 loss: 5.7534 2022/08/26 01:22:05 - mmengine - INFO - Epoch(train) [141][120/125] lr: 9.1555e-04 eta: 1 day, 2:37:47 time: 0.5733 data_time: 0.0227 memory: 9483 loss_text: 0.8745 loss_center: 2.8028 loss_reg_x: 1.1583 loss_reg_y: 1.0854 loss: 5.9211 2022/08/26 01:22:09 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:22:09 - mmengine - INFO - Epoch(train) [141][125/125] lr: 9.1555e-04 eta: 1 day, 2:37:47 time: 0.6599 data_time: 0.0825 memory: 9483 loss_text: 0.7097 loss_center: 2.7897 loss_reg_x: 0.9630 loss_reg_y: 0.9022 loss: 5.3646 2022/08/26 01:22:12 - mmengine - INFO - Epoch(train) [142][5/125] lr: 9.1494e-04 eta: 1 day, 2:37:47 time: 0.6722 data_time: 0.1379 memory: 9483 loss_text: 0.7101 loss_center: 2.7819 loss_reg_x: 1.0176 loss_reg_y: 0.9261 loss: 5.4357 2022/08/26 01:22:16 - mmengine - INFO - Epoch(train) [142][10/125] lr: 9.1494e-04 eta: 1 day, 2:37:24 time: 0.6890 data_time: 0.0766 memory: 9483 loss_text: 0.8106 loss_center: 2.7901 loss_reg_x: 1.0196 loss_reg_y: 0.9595 loss: 5.5798 2022/08/26 01:22:18 - mmengine - INFO - Epoch(train) [142][15/125] lr: 9.1494e-04 eta: 1 day, 2:37:24 time: 0.6139 data_time: 0.0171 memory: 9483 loss_text: 0.8276 loss_center: 2.8060 loss_reg_x: 0.9586 loss_reg_y: 0.9032 loss: 5.4955 2022/08/26 01:22:20 - mmengine - INFO - Epoch(train) [142][20/125] lr: 9.1494e-04 eta: 1 day, 2:37:10 time: 0.4844 data_time: 0.0184 memory: 9483 loss_text: 0.7608 loss_center: 2.8004 loss_reg_x: 0.9082 loss_reg_y: 0.9884 loss: 5.4578 2022/08/26 01:22:23 - mmengine - INFO - Epoch(train) [142][25/125] lr: 9.1494e-04 eta: 1 day, 2:37:10 time: 0.4730 data_time: 0.0127 memory: 9483 loss_text: 0.7190 loss_center: 2.7943 loss_reg_x: 0.9006 loss_reg_y: 0.9961 loss: 5.4099 2022/08/26 01:22:25 - mmengine - INFO - Epoch(train) [142][30/125] lr: 9.1494e-04 eta: 1 day, 2:36:58 time: 0.4953 data_time: 0.0172 memory: 9483 loss_text: 0.7502 loss_center: 2.8099 loss_reg_x: 1.0437 loss_reg_y: 1.0678 loss: 5.6717 2022/08/26 01:22:28 - mmengine - INFO - Epoch(train) [142][35/125] lr: 9.1494e-04 eta: 1 day, 2:36:58 time: 0.5260 data_time: 0.0167 memory: 9483 loss_text: 0.7547 loss_center: 2.8037 loss_reg_x: 0.9309 loss_reg_y: 0.9517 loss: 5.4410 2022/08/26 01:22:31 - mmengine - INFO - Epoch(train) [142][40/125] lr: 9.1494e-04 eta: 1 day, 2:36:50 time: 0.5434 data_time: 0.0159 memory: 9483 loss_text: 0.7347 loss_center: 2.7700 loss_reg_x: 0.8653 loss_reg_y: 0.8124 loss: 5.1825 2022/08/26 01:22:33 - mmengine - INFO - Epoch(train) [142][45/125] lr: 9.1494e-04 eta: 1 day, 2:36:50 time: 0.5241 data_time: 0.0165 memory: 9483 loss_text: 0.7157 loss_center: 2.7996 loss_reg_x: 0.8734 loss_reg_y: 0.8791 loss: 5.2678 2022/08/26 01:22:36 - mmengine - INFO - Epoch(train) [142][50/125] lr: 9.1494e-04 eta: 1 day, 2:36:40 time: 0.5137 data_time: 0.0163 memory: 9483 loss_text: 0.7161 loss_center: 2.8214 loss_reg_x: 0.9059 loss_reg_y: 0.9644 loss: 5.4078 2022/08/26 01:22:39 - mmengine - INFO - Epoch(train) [142][55/125] lr: 9.1494e-04 eta: 1 day, 2:36:40 time: 0.5262 data_time: 0.0170 memory: 9483 loss_text: 0.7191 loss_center: 2.7896 loss_reg_x: 0.9800 loss_reg_y: 0.9850 loss: 5.4737 2022/08/26 01:22:41 - mmengine - INFO - Epoch(train) [142][60/125] lr: 9.1494e-04 eta: 1 day, 2:36:31 time: 0.5305 data_time: 0.0166 memory: 9483 loss_text: 0.6949 loss_center: 2.7925 loss_reg_x: 0.9498 loss_reg_y: 0.9227 loss: 5.3598 2022/08/26 01:22:44 - mmengine - INFO - Epoch(train) [142][65/125] lr: 9.1494e-04 eta: 1 day, 2:36:31 time: 0.5211 data_time: 0.0157 memory: 9483 loss_text: 0.7788 loss_center: 2.7881 loss_reg_x: 0.9865 loss_reg_y: 0.7906 loss: 5.3440 2022/08/26 01:22:49 - mmengine - INFO - Epoch(train) [142][70/125] lr: 9.1494e-04 eta: 1 day, 2:36:46 time: 0.7784 data_time: 0.0130 memory: 9483 loss_text: 0.8006 loss_center: 2.7757 loss_reg_x: 0.9521 loss_reg_y: 0.7187 loss: 5.2470 2022/08/26 01:22:52 - mmengine - INFO - Epoch(train) [142][75/125] lr: 9.1494e-04 eta: 1 day, 2:36:46 time: 0.7913 data_time: 0.0148 memory: 9483 loss_text: 0.7401 loss_center: 2.7869 loss_reg_x: 0.8935 loss_reg_y: 0.7401 loss: 5.1606 2022/08/26 01:22:54 - mmengine - INFO - Epoch(train) [142][80/125] lr: 9.1494e-04 eta: 1 day, 2:36:36 time: 0.5171 data_time: 0.0155 memory: 9483 loss_text: 0.7961 loss_center: 2.7923 loss_reg_x: 0.8923 loss_reg_y: 0.7395 loss: 5.2202 2022/08/26 01:22:57 - mmengine - INFO - Epoch(train) [142][85/125] lr: 9.1494e-04 eta: 1 day, 2:36:36 time: 0.5131 data_time: 0.0134 memory: 9483 loss_text: 0.7717 loss_center: 2.7841 loss_reg_x: 0.9232 loss_reg_y: 0.7574 loss: 5.2364 2022/08/26 01:22:59 - mmengine - INFO - Epoch(train) [142][90/125] lr: 9.1494e-04 eta: 1 day, 2:36:26 time: 0.5194 data_time: 0.0125 memory: 9483 loss_text: 0.6804 loss_center: 2.7830 loss_reg_x: 0.9492 loss_reg_y: 0.8594 loss: 5.2720 2022/08/26 01:23:02 - mmengine - INFO - Epoch(train) [142][95/125] lr: 9.1494e-04 eta: 1 day, 2:36:26 time: 0.5306 data_time: 0.0143 memory: 9483 loss_text: 0.6725 loss_center: 2.8044 loss_reg_x: 1.0133 loss_reg_y: 1.0836 loss: 5.5738 2022/08/26 01:23:06 - mmengine - INFO - Epoch(train) [142][100/125] lr: 9.1494e-04 eta: 1 day, 2:36:30 time: 0.6634 data_time: 0.0150 memory: 9483 loss_text: 0.7263 loss_center: 2.8040 loss_reg_x: 0.9663 loss_reg_y: 1.0516 loss: 5.5481 2022/08/26 01:23:09 - mmengine - INFO - Epoch(train) [142][105/125] lr: 9.1494e-04 eta: 1 day, 2:36:30 time: 0.6880 data_time: 0.0360 memory: 9483 loss_text: 0.7405 loss_center: 2.7832 loss_reg_x: 0.9936 loss_reg_y: 1.0428 loss: 5.5602 2022/08/26 01:23:12 - mmengine - INFO - Epoch(train) [142][110/125] lr: 9.1494e-04 eta: 1 day, 2:36:26 time: 0.5871 data_time: 0.0355 memory: 9483 loss_text: 0.7652 loss_center: 2.7976 loss_reg_x: 1.1135 loss_reg_y: 1.1776 loss: 5.8539 2022/08/26 01:23:15 - mmengine - INFO - Epoch(train) [142][115/125] lr: 9.1494e-04 eta: 1 day, 2:36:26 time: 0.5558 data_time: 0.0164 memory: 9483 loss_text: 0.7636 loss_center: 2.7955 loss_reg_x: 0.9879 loss_reg_y: 1.0096 loss: 5.5565 2022/08/26 01:23:17 - mmengine - INFO - Epoch(train) [142][120/125] lr: 9.1494e-04 eta: 1 day, 2:36:14 time: 0.4920 data_time: 0.0172 memory: 9483 loss_text: 0.7706 loss_center: 2.8044 loss_reg_x: 0.8191 loss_reg_y: 0.9208 loss: 5.3149 2022/08/26 01:23:19 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:23:19 - mmengine - INFO - Epoch(train) [142][125/125] lr: 9.1494e-04 eta: 1 day, 2:36:14 time: 0.4739 data_time: 0.0150 memory: 9483 loss_text: 0.7672 loss_center: 2.8297 loss_reg_x: 1.0545 loss_reg_y: 1.1707 loss: 5.8221 2022/08/26 01:23:23 - mmengine - INFO - Epoch(train) [143][5/125] lr: 9.1433e-04 eta: 1 day, 2:36:14 time: 0.6071 data_time: 0.1031 memory: 9483 loss_text: 0.7917 loss_center: 2.8156 loss_reg_x: 1.3212 loss_reg_y: 1.3671 loss: 6.2956 2022/08/26 01:23:26 - mmengine - INFO - Epoch(train) [143][10/125] lr: 9.1433e-04 eta: 1 day, 2:35:48 time: 0.6683 data_time: 0.1031 memory: 9483 loss_text: 0.7615 loss_center: 2.7951 loss_reg_x: 1.0424 loss_reg_y: 1.1251 loss: 5.7241 2022/08/26 01:23:29 - mmengine - INFO - Epoch(train) [143][15/125] lr: 9.1433e-04 eta: 1 day, 2:35:48 time: 0.5560 data_time: 0.0140 memory: 9483 loss_text: 0.6748 loss_center: 2.7938 loss_reg_x: 0.8777 loss_reg_y: 0.9011 loss: 5.2474 2022/08/26 01:23:31 - mmengine - INFO - Epoch(train) [143][20/125] lr: 9.1433e-04 eta: 1 day, 2:35:37 time: 0.5044 data_time: 0.0126 memory: 9483 loss_text: 0.6645 loss_center: 2.7820 loss_reg_x: 0.8869 loss_reg_y: 0.8709 loss: 5.2043 2022/08/26 01:23:34 - mmengine - INFO - Epoch(train) [143][25/125] lr: 9.1433e-04 eta: 1 day, 2:35:37 time: 0.5166 data_time: 0.0127 memory: 9483 loss_text: 0.6721 loss_center: 2.7778 loss_reg_x: 0.8718 loss_reg_y: 0.7934 loss: 5.1151 2022/08/26 01:23:36 - mmengine - INFO - Epoch(train) [143][30/125] lr: 9.1433e-04 eta: 1 day, 2:35:29 time: 0.5391 data_time: 0.0174 memory: 9483 loss_text: 0.6436 loss_center: 2.7810 loss_reg_x: 0.9391 loss_reg_y: 0.8386 loss: 5.2023 2022/08/26 01:23:39 - mmengine - INFO - Epoch(train) [143][35/125] lr: 9.1433e-04 eta: 1 day, 2:35:29 time: 0.5431 data_time: 0.0171 memory: 9483 loss_text: 0.6922 loss_center: 2.7698 loss_reg_x: 0.9221 loss_reg_y: 0.8661 loss: 5.2503 2022/08/26 01:23:42 - mmengine - INFO - Epoch(train) [143][40/125] lr: 9.1433e-04 eta: 1 day, 2:35:19 time: 0.5161 data_time: 0.0125 memory: 9483 loss_text: 0.7722 loss_center: 2.7598 loss_reg_x: 0.9134 loss_reg_y: 0.8219 loss: 5.2673 2022/08/26 01:23:44 - mmengine - INFO - Epoch(train) [143][45/125] lr: 9.1433e-04 eta: 1 day, 2:35:19 time: 0.5043 data_time: 0.0155 memory: 9483 loss_text: 0.7384 loss_center: 2.7692 loss_reg_x: 0.9943 loss_reg_y: 0.9768 loss: 5.4788 2022/08/26 01:23:48 - mmengine - INFO - Epoch(train) [143][50/125] lr: 9.1433e-04 eta: 1 day, 2:35:21 time: 0.6504 data_time: 0.0170 memory: 9483 loss_text: 0.7824 loss_center: 2.8041 loss_reg_x: 1.1291 loss_reg_y: 1.1413 loss: 5.8569 2022/08/26 01:23:51 - mmengine - INFO - Epoch(train) [143][55/125] lr: 9.1433e-04 eta: 1 day, 2:35:21 time: 0.6378 data_time: 0.0142 memory: 9483 loss_text: 0.7979 loss_center: 2.8178 loss_reg_x: 1.1155 loss_reg_y: 1.0801 loss: 5.8113 2022/08/26 01:23:53 - mmengine - INFO - Epoch(train) [143][60/125] lr: 9.1433e-04 eta: 1 day, 2:35:12 time: 0.5242 data_time: 0.0187 memory: 9483 loss_text: 0.8683 loss_center: 2.8109 loss_reg_x: 1.0798 loss_reg_y: 0.9251 loss: 5.6840 2022/08/26 01:23:56 - mmengine - INFO - Epoch(train) [143][65/125] lr: 9.1433e-04 eta: 1 day, 2:35:12 time: 0.5582 data_time: 0.0217 memory: 9483 loss_text: 0.8694 loss_center: 2.8201 loss_reg_x: 1.0416 loss_reg_y: 0.9227 loss: 5.6538 2022/08/26 01:23:59 - mmengine - INFO - Epoch(train) [143][70/125] lr: 9.1433e-04 eta: 1 day, 2:35:03 time: 0.5349 data_time: 0.0189 memory: 9483 loss_text: 0.8056 loss_center: 2.8039 loss_reg_x: 0.9448 loss_reg_y: 0.9226 loss: 5.4769 2022/08/26 01:24:01 - mmengine - INFO - Epoch(train) [143][75/125] lr: 9.1433e-04 eta: 1 day, 2:35:03 time: 0.5144 data_time: 0.0160 memory: 9483 loss_text: 0.8020 loss_center: 2.7812 loss_reg_x: 0.8978 loss_reg_y: 0.8532 loss: 5.3342 2022/08/26 01:24:04 - mmengine - INFO - Epoch(train) [143][80/125] lr: 9.1433e-04 eta: 1 day, 2:34:53 time: 0.5177 data_time: 0.0148 memory: 9483 loss_text: 0.7293 loss_center: 2.7868 loss_reg_x: 0.8481 loss_reg_y: 0.8857 loss: 5.2499 2022/08/26 01:24:08 - mmengine - INFO - Epoch(train) [143][85/125] lr: 9.1433e-04 eta: 1 day, 2:34:53 time: 0.6997 data_time: 0.0403 memory: 9483 loss_text: 0.7838 loss_center: 2.8146 loss_reg_x: 1.0090 loss_reg_y: 1.0998 loss: 5.7072 2022/08/26 01:24:11 - mmengine - INFO - Epoch(train) [143][90/125] lr: 9.1433e-04 eta: 1 day, 2:34:58 time: 0.6777 data_time: 0.0403 memory: 9483 loss_text: 0.7856 loss_center: 2.7969 loss_reg_x: 0.9881 loss_reg_y: 1.1003 loss: 5.6708 2022/08/26 01:24:13 - mmengine - INFO - Epoch(train) [143][95/125] lr: 9.1433e-04 eta: 1 day, 2:34:58 time: 0.4744 data_time: 0.0147 memory: 9483 loss_text: 0.8180 loss_center: 2.7880 loss_reg_x: 0.8788 loss_reg_y: 1.0679 loss: 5.5527 2022/08/26 01:24:16 - mmengine - INFO - Epoch(train) [143][100/125] lr: 9.1433e-04 eta: 1 day, 2:34:46 time: 0.4881 data_time: 0.0129 memory: 9483 loss_text: 0.7895 loss_center: 2.8028 loss_reg_x: 0.9214 loss_reg_y: 1.0544 loss: 5.5679 2022/08/26 01:24:18 - mmengine - INFO - Epoch(train) [143][105/125] lr: 9.1433e-04 eta: 1 day, 2:34:46 time: 0.4924 data_time: 0.0136 memory: 9483 loss_text: 0.6619 loss_center: 2.7815 loss_reg_x: 0.8427 loss_reg_y: 0.9099 loss: 5.1960 2022/08/26 01:24:20 - mmengine - INFO - Epoch(train) [143][110/125] lr: 9.1433e-04 eta: 1 day, 2:34:33 time: 0.4893 data_time: 0.0139 memory: 9483 loss_text: 0.6829 loss_center: 2.7986 loss_reg_x: 0.8619 loss_reg_y: 0.9495 loss: 5.2929 2022/08/26 01:24:23 - mmengine - INFO - Epoch(train) [143][115/125] lr: 9.1433e-04 eta: 1 day, 2:34:33 time: 0.4879 data_time: 0.0153 memory: 9483 loss_text: 0.6609 loss_center: 2.8150 loss_reg_x: 0.8932 loss_reg_y: 0.9769 loss: 5.3459 2022/08/26 01:24:26 - mmengine - INFO - Epoch(train) [143][120/125] lr: 9.1433e-04 eta: 1 day, 2:34:24 time: 0.5252 data_time: 0.0303 memory: 9483 loss_text: 0.6520 loss_center: 2.7994 loss_reg_x: 0.8854 loss_reg_y: 0.9732 loss: 5.3102 2022/08/26 01:24:28 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:24:28 - mmengine - INFO - Epoch(train) [143][125/125] lr: 9.1433e-04 eta: 1 day, 2:34:24 time: 0.5374 data_time: 0.0286 memory: 9483 loss_text: 0.6862 loss_center: 2.7799 loss_reg_x: 0.9619 loss_reg_y: 0.9242 loss: 5.3522 2022/08/26 01:24:31 - mmengine - INFO - Epoch(train) [144][5/125] lr: 9.1373e-04 eta: 1 day, 2:34:24 time: 0.5628 data_time: 0.0695 memory: 9483 loss_text: 0.7038 loss_center: 2.7838 loss_reg_x: 1.0368 loss_reg_y: 1.1060 loss: 5.6303 2022/08/26 01:24:34 - mmengine - INFO - Epoch(train) [144][10/125] lr: 9.1373e-04 eta: 1 day, 2:33:49 time: 0.5747 data_time: 0.0711 memory: 9483 loss_text: 0.6686 loss_center: 2.7912 loss_reg_x: 0.8874 loss_reg_y: 1.0339 loss: 5.3812 2022/08/26 01:24:37 - mmengine - INFO - Epoch(train) [144][15/125] lr: 9.1373e-04 eta: 1 day, 2:33:49 time: 0.5323 data_time: 0.0166 memory: 9483 loss_text: 0.6516 loss_center: 2.7945 loss_reg_x: 0.7643 loss_reg_y: 0.8158 loss: 5.0262 2022/08/26 01:24:39 - mmengine - INFO - Epoch(train) [144][20/125] lr: 9.1373e-04 eta: 1 day, 2:33:39 time: 0.5091 data_time: 0.0148 memory: 9483 loss_text: 0.7770 loss_center: 2.8040 loss_reg_x: 0.7868 loss_reg_y: 0.8417 loss: 5.2094 2022/08/26 01:24:41 - mmengine - INFO - Epoch(train) [144][25/125] lr: 9.1373e-04 eta: 1 day, 2:33:39 time: 0.4802 data_time: 0.0126 memory: 9483 loss_text: 0.8597 loss_center: 2.8213 loss_reg_x: 0.9929 loss_reg_y: 1.0102 loss: 5.6841 2022/08/26 01:24:44 - mmengine - INFO - Epoch(train) [144][30/125] lr: 9.1373e-04 eta: 1 day, 2:33:25 time: 0.4807 data_time: 0.0143 memory: 9483 loss_text: 0.7748 loss_center: 2.8154 loss_reg_x: 1.0202 loss_reg_y: 0.9773 loss: 5.5877 2022/08/26 01:24:48 - mmengine - INFO - Epoch(train) [144][35/125] lr: 9.1373e-04 eta: 1 day, 2:33:25 time: 0.6178 data_time: 0.0155 memory: 9483 loss_text: 0.7872 loss_center: 2.7954 loss_reg_x: 0.8781 loss_reg_y: 0.8654 loss: 5.3260 2022/08/26 01:24:50 - mmengine - INFO - Epoch(train) [144][40/125] lr: 9.1373e-04 eta: 1 day, 2:33:26 time: 0.6349 data_time: 0.0135 memory: 9483 loss_text: 0.8584 loss_center: 2.7933 loss_reg_x: 0.8719 loss_reg_y: 0.9656 loss: 5.4892 2022/08/26 01:24:53 - mmengine - INFO - Epoch(train) [144][45/125] lr: 9.1373e-04 eta: 1 day, 2:33:26 time: 0.5134 data_time: 0.0131 memory: 9483 loss_text: 0.8747 loss_center: 2.8024 loss_reg_x: 1.0126 loss_reg_y: 1.0996 loss: 5.7893 2022/08/26 01:24:55 - mmengine - INFO - Epoch(train) [144][50/125] lr: 9.1373e-04 eta: 1 day, 2:33:16 time: 0.5155 data_time: 0.0162 memory: 9483 loss_text: 0.8040 loss_center: 2.7995 loss_reg_x: 1.1028 loss_reg_y: 1.0330 loss: 5.7393 2022/08/26 01:24:58 - mmengine - INFO - Epoch(train) [144][55/125] lr: 9.1373e-04 eta: 1 day, 2:33:16 time: 0.4934 data_time: 0.0152 memory: 9483 loss_text: 0.8371 loss_center: 2.8148 loss_reg_x: 1.1348 loss_reg_y: 1.1441 loss: 5.9309 2022/08/26 01:25:00 - mmengine - INFO - Epoch(train) [144][60/125] lr: 9.1373e-04 eta: 1 day, 2:33:03 time: 0.4905 data_time: 0.0119 memory: 9483 loss_text: 0.8534 loss_center: 2.8236 loss_reg_x: 1.1286 loss_reg_y: 1.3028 loss: 6.1084 2022/08/26 01:25:03 - mmengine - INFO - Epoch(train) [144][65/125] lr: 9.1373e-04 eta: 1 day, 2:33:03 time: 0.4923 data_time: 0.0120 memory: 9483 loss_text: 0.7208 loss_center: 2.7856 loss_reg_x: 0.8582 loss_reg_y: 0.9693 loss: 5.3340 2022/08/26 01:25:07 - mmengine - INFO - Epoch(train) [144][70/125] lr: 9.1373e-04 eta: 1 day, 2:33:10 time: 0.6935 data_time: 0.0275 memory: 9483 loss_text: 0.7051 loss_center: 2.7728 loss_reg_x: 0.7807 loss_reg_y: 0.8712 loss: 5.1298 2022/08/26 01:25:10 - mmengine - INFO - Epoch(train) [144][75/125] lr: 9.1373e-04 eta: 1 day, 2:33:10 time: 0.7087 data_time: 0.0301 memory: 9483 loss_text: 0.6863 loss_center: 2.7309 loss_reg_x: 0.8148 loss_reg_y: 0.8840 loss: 5.1160 2022/08/26 01:25:12 - mmengine - INFO - Epoch(train) [144][80/125] lr: 9.1373e-04 eta: 1 day, 2:32:59 time: 0.5036 data_time: 0.0171 memory: 9483 loss_text: 0.7127 loss_center: 2.7332 loss_reg_x: 0.8371 loss_reg_y: 0.9528 loss: 5.2358 2022/08/26 01:25:15 - mmengine - INFO - Epoch(train) [144][85/125] lr: 9.1373e-04 eta: 1 day, 2:32:59 time: 0.5081 data_time: 0.0144 memory: 9483 loss_text: 0.7849 loss_center: 2.7786 loss_reg_x: 0.9155 loss_reg_y: 0.9587 loss: 5.4376 2022/08/26 01:25:17 - mmengine - INFO - Epoch(train) [144][90/125] lr: 9.1373e-04 eta: 1 day, 2:32:47 time: 0.4999 data_time: 0.0128 memory: 9483 loss_text: 0.7442 loss_center: 2.7859 loss_reg_x: 0.9536 loss_reg_y: 0.8275 loss: 5.3111 2022/08/26 01:25:20 - mmengine - INFO - Epoch(train) [144][95/125] lr: 9.1373e-04 eta: 1 day, 2:32:47 time: 0.4890 data_time: 0.0213 memory: 9483 loss_text: 0.7295 loss_center: 2.8035 loss_reg_x: 0.8584 loss_reg_y: 0.8233 loss: 5.2148 2022/08/26 01:25:22 - mmengine - INFO - Epoch(train) [144][100/125] lr: 9.1373e-04 eta: 1 day, 2:32:35 time: 0.4987 data_time: 0.0217 memory: 9483 loss_text: 0.7381 loss_center: 2.7822 loss_reg_x: 0.7932 loss_reg_y: 0.8763 loss: 5.1898 2022/08/26 01:25:27 - mmengine - INFO - Epoch(train) [144][105/125] lr: 9.1373e-04 eta: 1 day, 2:32:35 time: 0.7400 data_time: 0.0130 memory: 9483 loss_text: 0.8113 loss_center: 2.7659 loss_reg_x: 0.9227 loss_reg_y: 0.9463 loss: 5.4462 2022/08/26 01:25:30 - mmengine - INFO - Epoch(train) [144][110/125] lr: 9.1373e-04 eta: 1 day, 2:32:48 time: 0.7632 data_time: 0.0140 memory: 9483 loss_text: 0.8081 loss_center: 2.7783 loss_reg_x: 0.8984 loss_reg_y: 0.9367 loss: 5.4214 2022/08/26 01:25:33 - mmengine - INFO - Epoch(train) [144][115/125] lr: 9.1373e-04 eta: 1 day, 2:32:48 time: 0.5387 data_time: 0.0181 memory: 9483 loss_text: 0.7096 loss_center: 2.7716 loss_reg_x: 0.8310 loss_reg_y: 0.8211 loss: 5.1333 2022/08/26 01:25:35 - mmengine - INFO - Epoch(train) [144][120/125] lr: 9.1373e-04 eta: 1 day, 2:32:40 time: 0.5300 data_time: 0.0167 memory: 9483 loss_text: 0.7504 loss_center: 2.7983 loss_reg_x: 1.0402 loss_reg_y: 1.0606 loss: 5.6495 2022/08/26 01:25:38 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:25:38 - mmengine - INFO - Epoch(train) [144][125/125] lr: 9.1373e-04 eta: 1 day, 2:32:40 time: 0.5131 data_time: 0.0122 memory: 9483 loss_text: 0.7634 loss_center: 2.8076 loss_reg_x: 1.1235 loss_reg_y: 1.2342 loss: 5.9288 2022/08/26 01:25:41 - mmengine - INFO - Epoch(train) [145][5/125] lr: 9.1312e-04 eta: 1 day, 2:32:40 time: 0.5769 data_time: 0.0814 memory: 9483 loss_text: 0.7092 loss_center: 2.7909 loss_reg_x: 0.9154 loss_reg_y: 0.9934 loss: 5.4090 2022/08/26 01:25:44 - mmengine - INFO - Epoch(train) [145][10/125] lr: 9.1312e-04 eta: 1 day, 2:32:07 time: 0.5899 data_time: 0.0838 memory: 9483 loss_text: 0.7244 loss_center: 2.7975 loss_reg_x: 0.8714 loss_reg_y: 1.0041 loss: 5.3975 2022/08/26 01:25:48 - mmengine - INFO - Epoch(train) [145][15/125] lr: 9.1312e-04 eta: 1 day, 2:32:07 time: 0.7311 data_time: 0.0142 memory: 9483 loss_text: 0.7075 loss_center: 2.7846 loss_reg_x: 0.9700 loss_reg_y: 1.0739 loss: 5.5362 2022/08/26 01:25:51 - mmengine - INFO - Epoch(train) [145][20/125] lr: 9.1312e-04 eta: 1 day, 2:32:16 time: 0.7196 data_time: 0.0135 memory: 9483 loss_text: 0.6455 loss_center: 2.7611 loss_reg_x: 0.8524 loss_reg_y: 0.9543 loss: 5.2133 2022/08/26 01:25:53 - mmengine - INFO - Epoch(train) [145][25/125] lr: 9.1312e-04 eta: 1 day, 2:32:16 time: 0.4912 data_time: 0.0149 memory: 9483 loss_text: 0.6581 loss_center: 2.7713 loss_reg_x: 0.8701 loss_reg_y: 0.9133 loss: 5.2127 2022/08/26 01:25:56 - mmengine - INFO - Epoch(train) [145][30/125] lr: 9.1312e-04 eta: 1 day, 2:32:04 time: 0.4990 data_time: 0.0174 memory: 9483 loss_text: 0.6306 loss_center: 2.7226 loss_reg_x: 0.8845 loss_reg_y: 0.8231 loss: 5.0608 2022/08/26 01:25:58 - mmengine - INFO - Epoch(train) [145][35/125] lr: 9.1312e-04 eta: 1 day, 2:32:04 time: 0.5057 data_time: 0.0182 memory: 9483 loss_text: 0.6478 loss_center: 2.7252 loss_reg_x: 0.7853 loss_reg_y: 0.7684 loss: 4.9267 2022/08/26 01:26:01 - mmengine - INFO - Epoch(train) [145][40/125] lr: 9.1312e-04 eta: 1 day, 2:31:53 time: 0.5004 data_time: 0.0214 memory: 9483 loss_text: 0.6407 loss_center: 2.7912 loss_reg_x: 0.7406 loss_reg_y: 0.7681 loss: 4.9406 2022/08/26 01:26:03 - mmengine - INFO - Epoch(train) [145][45/125] lr: 9.1312e-04 eta: 1 day, 2:31:53 time: 0.4869 data_time: 0.0190 memory: 9483 loss_text: 0.5913 loss_center: 2.7986 loss_reg_x: 0.7637 loss_reg_y: 0.8495 loss: 5.0031 2022/08/26 01:26:09 - mmengine - INFO - Epoch(train) [145][50/125] lr: 9.1312e-04 eta: 1 day, 2:32:07 time: 0.7729 data_time: 0.0353 memory: 9483 loss_text: 0.6258 loss_center: 2.7901 loss_reg_x: 0.7954 loss_reg_y: 0.9797 loss: 5.1910 2022/08/26 01:26:11 - mmengine - INFO - Epoch(train) [145][55/125] lr: 9.1312e-04 eta: 1 day, 2:32:07 time: 0.8050 data_time: 0.0433 memory: 9483 loss_text: 0.6686 loss_center: 2.7639 loss_reg_x: 0.7622 loss_reg_y: 0.8830 loss: 5.0777 2022/08/26 01:26:14 - mmengine - INFO - Epoch(train) [145][60/125] lr: 9.1312e-04 eta: 1 day, 2:31:58 time: 0.5273 data_time: 0.0215 memory: 9483 loss_text: 0.7179 loss_center: 2.7850 loss_reg_x: 0.8498 loss_reg_y: 0.8841 loss: 5.2368 2022/08/26 01:26:16 - mmengine - INFO - Epoch(train) [145][65/125] lr: 9.1312e-04 eta: 1 day, 2:31:58 time: 0.5247 data_time: 0.0158 memory: 9483 loss_text: 0.7423 loss_center: 2.8222 loss_reg_x: 0.9157 loss_reg_y: 0.9095 loss: 5.3898 2022/08/26 01:26:19 - mmengine - INFO - Epoch(train) [145][70/125] lr: 9.1312e-04 eta: 1 day, 2:31:49 time: 0.5300 data_time: 0.0160 memory: 9483 loss_text: 0.7041 loss_center: 2.8049 loss_reg_x: 0.9750 loss_reg_y: 0.8994 loss: 5.3834 2022/08/26 01:26:22 - mmengine - INFO - Epoch(train) [145][75/125] lr: 9.1312e-04 eta: 1 day, 2:31:49 time: 0.5166 data_time: 0.0161 memory: 9483 loss_text: 0.6717 loss_center: 2.7856 loss_reg_x: 1.0071 loss_reg_y: 0.9789 loss: 5.4433 2022/08/26 01:26:24 - mmengine - INFO - Epoch(train) [145][80/125] lr: 9.1312e-04 eta: 1 day, 2:31:37 time: 0.4912 data_time: 0.0148 memory: 9483 loss_text: 0.7533 loss_center: 2.8027 loss_reg_x: 0.9303 loss_reg_y: 1.0282 loss: 5.5145 2022/08/26 01:26:29 - mmengine - INFO - Epoch(train) [145][85/125] lr: 9.1312e-04 eta: 1 day, 2:31:37 time: 0.7086 data_time: 0.0131 memory: 9483 loss_text: 0.7732 loss_center: 2.8057 loss_reg_x: 0.8603 loss_reg_y: 0.9666 loss: 5.4057 2022/08/26 01:26:31 - mmengine - INFO - Epoch(train) [145][90/125] lr: 9.1312e-04 eta: 1 day, 2:31:47 time: 0.7307 data_time: 0.0133 memory: 9483 loss_text: 0.7595 loss_center: 2.7883 loss_reg_x: 0.9652 loss_reg_y: 0.8863 loss: 5.3992 2022/08/26 01:26:34 - mmengine - INFO - Epoch(train) [145][95/125] lr: 9.1312e-04 eta: 1 day, 2:31:47 time: 0.4974 data_time: 0.0152 memory: 9483 loss_text: 0.8208 loss_center: 2.7756 loss_reg_x: 1.0028 loss_reg_y: 1.0571 loss: 5.6563 2022/08/26 01:26:36 - mmengine - INFO - Epoch(train) [145][100/125] lr: 9.1312e-04 eta: 1 day, 2:31:35 time: 0.5047 data_time: 0.0150 memory: 9483 loss_text: 0.7709 loss_center: 2.7880 loss_reg_x: 0.9328 loss_reg_y: 1.0316 loss: 5.5234 2022/08/26 01:26:39 - mmengine - INFO - Epoch(train) [145][105/125] lr: 9.1312e-04 eta: 1 day, 2:31:35 time: 0.5105 data_time: 0.0129 memory: 9483 loss_text: 0.7536 loss_center: 2.7978 loss_reg_x: 0.8551 loss_reg_y: 0.8746 loss: 5.2811 2022/08/26 01:26:41 - mmengine - INFO - Epoch(train) [145][110/125] lr: 9.1312e-04 eta: 1 day, 2:31:24 time: 0.5017 data_time: 0.0141 memory: 9483 loss_text: 0.7153 loss_center: 2.7875 loss_reg_x: 0.8046 loss_reg_y: 0.9262 loss: 5.2337 2022/08/26 01:26:44 - mmengine - INFO - Epoch(train) [145][115/125] lr: 9.1312e-04 eta: 1 day, 2:31:24 time: 0.5060 data_time: 0.0211 memory: 9483 loss_text: 0.6926 loss_center: 2.7907 loss_reg_x: 0.8971 loss_reg_y: 0.9939 loss: 5.3743 2022/08/26 01:26:49 - mmengine - INFO - Epoch(train) [145][120/125] lr: 9.1312e-04 eta: 1 day, 2:31:35 time: 0.7384 data_time: 0.0201 memory: 9483 loss_text: 0.8266 loss_center: 2.8131 loss_reg_x: 1.0490 loss_reg_y: 1.2859 loss: 5.9746 2022/08/26 01:26:51 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:26:51 - mmengine - INFO - Epoch(train) [145][125/125] lr: 9.1312e-04 eta: 1 day, 2:31:35 time: 0.7534 data_time: 0.0127 memory: 9483 loss_text: 1.0762 loss_center: 2.8179 loss_reg_x: 1.2692 loss_reg_y: 1.5986 loss: 6.7620 2022/08/26 01:26:55 - mmengine - INFO - Epoch(train) [146][5/125] lr: 9.1251e-04 eta: 1 day, 2:31:35 time: 0.5792 data_time: 0.0786 memory: 9483 loss_text: 1.1099 loss_center: 2.8110 loss_reg_x: 1.2808 loss_reg_y: 1.4147 loss: 6.6164 2022/08/26 01:26:57 - mmengine - INFO - Epoch(train) [146][10/125] lr: 9.1251e-04 eta: 1 day, 2:31:01 time: 0.5756 data_time: 0.0843 memory: 9483 loss_text: 1.0178 loss_center: 2.8088 loss_reg_x: 1.1890 loss_reg_y: 1.2531 loss: 6.2687 2022/08/26 01:27:00 - mmengine - INFO - Epoch(train) [146][15/125] lr: 9.1251e-04 eta: 1 day, 2:31:01 time: 0.5216 data_time: 0.0181 memory: 9483 loss_text: 0.9524 loss_center: 2.8147 loss_reg_x: 1.2932 loss_reg_y: 1.4502 loss: 6.5106 2022/08/26 01:27:02 - mmengine - INFO - Epoch(train) [146][20/125] lr: 9.1251e-04 eta: 1 day, 2:30:50 time: 0.5096 data_time: 0.0123 memory: 9483 loss_text: 0.8161 loss_center: 2.8095 loss_reg_x: 1.2512 loss_reg_y: 1.3433 loss: 6.2201 2022/08/26 01:27:07 - mmengine - INFO - Epoch(train) [146][25/125] lr: 9.1251e-04 eta: 1 day, 2:30:50 time: 0.7120 data_time: 0.0162 memory: 9483 loss_text: 0.9306 loss_center: 2.8210 loss_reg_x: 1.0953 loss_reg_y: 1.1368 loss: 5.9836 2022/08/26 01:27:10 - mmengine - INFO - Epoch(train) [146][30/125] lr: 9.1251e-04 eta: 1 day, 2:30:59 time: 0.7198 data_time: 0.0203 memory: 9483 loss_text: 0.8979 loss_center: 2.8173 loss_reg_x: 1.0061 loss_reg_y: 1.0237 loss: 5.7450 2022/08/26 01:27:12 - mmengine - INFO - Epoch(train) [146][35/125] lr: 9.1251e-04 eta: 1 day, 2:30:59 time: 0.5062 data_time: 0.0168 memory: 9483 loss_text: 0.7823 loss_center: 2.7974 loss_reg_x: 1.0008 loss_reg_y: 0.9732 loss: 5.5538 2022/08/26 01:27:14 - mmengine - INFO - Epoch(train) [146][40/125] lr: 9.1251e-04 eta: 1 day, 2:30:47 time: 0.4951 data_time: 0.0128 memory: 9483 loss_text: 0.8514 loss_center: 2.8173 loss_reg_x: 1.0986 loss_reg_y: 1.2713 loss: 6.0385 2022/08/26 01:27:17 - mmengine - INFO - Epoch(train) [146][45/125] lr: 9.1251e-04 eta: 1 day, 2:30:47 time: 0.5249 data_time: 0.0132 memory: 9483 loss_text: 0.8003 loss_center: 2.8196 loss_reg_x: 1.0463 loss_reg_y: 1.2537 loss: 5.9199 2022/08/26 01:27:20 - mmengine - INFO - Epoch(train) [146][50/125] lr: 9.1251e-04 eta: 1 day, 2:30:40 time: 0.5507 data_time: 0.0170 memory: 9483 loss_text: 0.8002 loss_center: 2.8142 loss_reg_x: 0.9718 loss_reg_y: 0.9946 loss: 5.5808 2022/08/26 01:27:23 - mmengine - INFO - Epoch(train) [146][55/125] lr: 9.1251e-04 eta: 1 day, 2:30:40 time: 0.5437 data_time: 0.0177 memory: 9483 loss_text: 0.8112 loss_center: 2.8159 loss_reg_x: 1.0316 loss_reg_y: 0.9884 loss: 5.6471 2022/08/26 01:27:26 - mmengine - INFO - Epoch(train) [146][60/125] lr: 9.1251e-04 eta: 1 day, 2:30:40 time: 0.6243 data_time: 0.0203 memory: 9483 loss_text: 0.8523 loss_center: 2.8124 loss_reg_x: 1.1882 loss_reg_y: 1.1152 loss: 5.9681 2022/08/26 01:27:29 - mmengine - INFO - Epoch(train) [146][65/125] lr: 9.1251e-04 eta: 1 day, 2:30:40 time: 0.5955 data_time: 0.0219 memory: 9483 loss_text: 0.8807 loss_center: 2.8163 loss_reg_x: 1.1039 loss_reg_y: 1.1666 loss: 5.9676 2022/08/26 01:27:32 - mmengine - INFO - Epoch(train) [146][70/125] lr: 9.1251e-04 eta: 1 day, 2:30:32 time: 0.5393 data_time: 0.0168 memory: 9483 loss_text: 0.7777 loss_center: 2.7541 loss_reg_x: 0.9186 loss_reg_y: 1.0033 loss: 5.4536 2022/08/26 01:27:34 - mmengine - INFO - Epoch(train) [146][75/125] lr: 9.1251e-04 eta: 1 day, 2:30:32 time: 0.5202 data_time: 0.0149 memory: 9483 loss_text: 0.8551 loss_center: 2.7538 loss_reg_x: 0.9194 loss_reg_y: 0.9890 loss: 5.5174 2022/08/26 01:27:36 - mmengine - INFO - Epoch(train) [146][80/125] lr: 9.1251e-04 eta: 1 day, 2:30:18 time: 0.4676 data_time: 0.0136 memory: 9483 loss_text: 0.9666 loss_center: 2.8156 loss_reg_x: 1.0903 loss_reg_y: 1.0352 loss: 5.9076 2022/08/26 01:27:39 - mmengine - INFO - Epoch(train) [146][85/125] lr: 9.1251e-04 eta: 1 day, 2:30:18 time: 0.4822 data_time: 0.0132 memory: 9483 loss_text: 0.8576 loss_center: 2.8000 loss_reg_x: 1.1495 loss_reg_y: 0.9389 loss: 5.7460 2022/08/26 01:27:41 - mmengine - INFO - Epoch(train) [146][90/125] lr: 9.1251e-04 eta: 1 day, 2:30:08 time: 0.5190 data_time: 0.0158 memory: 9483 loss_text: 0.7177 loss_center: 2.7858 loss_reg_x: 0.9460 loss_reg_y: 0.8503 loss: 5.2999 2022/08/26 01:27:44 - mmengine - INFO - Epoch(train) [146][95/125] lr: 9.1251e-04 eta: 1 day, 2:30:08 time: 0.5689 data_time: 0.0153 memory: 9483 loss_text: 0.7009 loss_center: 2.7283 loss_reg_x: 1.0154 loss_reg_y: 1.0170 loss: 5.4616 2022/08/26 01:27:48 - mmengine - INFO - Epoch(train) [146][100/125] lr: 9.1251e-04 eta: 1 day, 2:30:07 time: 0.6114 data_time: 0.0297 memory: 9483 loss_text: 0.7132 loss_center: 2.7455 loss_reg_x: 1.1453 loss_reg_y: 1.1877 loss: 5.7916 2022/08/26 01:27:50 - mmengine - INFO - Epoch(train) [146][105/125] lr: 9.1251e-04 eta: 1 day, 2:30:07 time: 0.5695 data_time: 0.0315 memory: 9483 loss_text: 0.6703 loss_center: 2.8135 loss_reg_x: 1.1706 loss_reg_y: 1.1404 loss: 5.7947 2022/08/26 01:27:53 - mmengine - INFO - Epoch(train) [146][110/125] lr: 9.1251e-04 eta: 1 day, 2:29:55 time: 0.5014 data_time: 0.0173 memory: 9483 loss_text: 0.7142 loss_center: 2.7513 loss_reg_x: 1.2001 loss_reg_y: 1.0233 loss: 5.6889 2022/08/26 01:27:55 - mmengine - INFO - Epoch(train) [146][115/125] lr: 9.1251e-04 eta: 1 day, 2:29:55 time: 0.5093 data_time: 0.0161 memory: 9483 loss_text: 0.7190 loss_center: 2.7427 loss_reg_x: 1.0790 loss_reg_y: 0.9092 loss: 5.4500 2022/08/26 01:27:58 - mmengine - INFO - Epoch(train) [146][120/125] lr: 9.1251e-04 eta: 1 day, 2:29:44 time: 0.5035 data_time: 0.0145 memory: 9483 loss_text: 0.6896 loss_center: 2.7909 loss_reg_x: 0.8782 loss_reg_y: 0.8553 loss: 5.2139 2022/08/26 01:28:00 - mmengine - INFO - Exp name: fcenet_resnet50-dcnv2_fpn_1500e_ctw1500_20220825_221510 2022/08/26 01:28:00 - mmengine - INFO - Epoch(train) [146][125/125] lr: 9.1251e-04 eta: 1 day, 2:29:44 time: 0.5021 data_time: 0.0141 memory: 9483 loss_text: 0.7163 loss_center: 2.6792 loss_reg_x: 0.8848 loss_reg_y: 0.8336 loss: 5.1139 2022/08/26 01:28:03 - mmengine - INFO - Epoch(train) [147][5/125] lr: 9.1191e-04 eta: 1 day, 2:29:44 time: 0.5492 data_time: 0.0634 memory: 9483 loss_text: 0.7712 loss_center: 2.6900 loss_reg_x: 1.1447 loss_reg_y: 1.0305 loss: 5.6364 2022/08/26 01:28:08 - mmengine - INFO - Epoch(train) [147][10/125] lr: 9.1191e-04 eta: 1 day, 2:29:33 time: 0.8189 data_time: 0.0848 memory: 9483 loss_text: 0.8618 loss_center: 2.8247 loss_reg_x: 1.2546 loss_reg_y: 1.2640 loss: 6.2051 2022/08/26 01:28:11 - mmengine - INFO - Epoch(train) [147][15/125] lr: 9.1191e-04 eta: 1 day, 2:29:33 time: 0.7745 data_time: 0.0365 memory: 9483 loss_text: 0.8179 loss_center: 2.8127 loss_reg_x: 1.0803 loss_reg_y: 1.2438 loss: 5.9547 2022/08/26 01:28:14 - mmengine - INFO - Epoch(train) [147][20/125] lr: 9.1191e-04 eta: 1 day, 2:29:24 time: 0.5227 data_time: 0.0159 memory: 9483 loss_text: 0.7643 loss_center: 2.7900 loss_reg_x: 0.9738 loss_reg_y: 1.1080 loss: 5.6360 2022/08/26 01:28:16 - mmengine - INFO - Epoch(train) [147][25/125] lr: 9.1191e-04 eta: 1 day, 2:29:24 time: 0.5239 data_time: 0.0139 memory: 9483 loss_text: 0.7486 loss_center: 2.7804 loss_reg_x: 1.1071 loss_reg_y: 1.1577 loss: 5.7938 2022/08/26 01:28:19 - mmengine - INFO - Epoch(train) [147][30/125] lr: 9.1191e-04 eta: 1 day, 2:29:12 time: 0.4954 data_time: 0.0123 memory: 9483 loss_text: 0.7461 loss_center: 2.7536 loss_reg_x: 1.0473 loss_reg_y: 1.0297 loss: 5.5767 2022/08/26 01:28:21 - mmengine - INFO - Epoch(train) [147][35/125] lr: 9.1191e-04 eta: 1 day, 2:29:12 time: 0.5139 data_time: 0.0236 memory: 9483 loss_text: 0.7376 loss_center: 2.7811 loss_reg_x: 0.8684 loss_reg_y: 0.8853 loss: 5.2724 2022/08/26 01:28:24 - mmengine - INFO - Epoch(train) [147][40/125] lr: 9.1191e-04 eta: 1 day, 2:29:04 time: 0.5405 data_time: 0.0251 memory: 9483 loss_text: 0.7766 loss_center: 2.8126 loss_reg_x: 1.0005 loss_reg_y: 1.0333 loss: 5.6229 2022/08/26 01:28:27 - mmengine - INFO - Epoch(train) [147][45/125] lr: 9.1191e-04 eta: 1 day, 2:29:04 time: 0.5840 data_time: 0.0250 memory: 9483 loss_text: 0.7700 loss_center: 2.7862 loss_reg_x: 1.0494 loss_reg_y: 0.9513 loss: 5.5569 2022/08/26 01:28:30 - mmengine - INFO - Epoch(train) [147][50/125] lr: 9.1191e-04 eta: 1 day, 2:28:59 time: 0.5644 data_time: 0.0253 memory: 9483 loss_text: 0.7208 loss_center: 2.7941 loss_reg_x: 1.0045 loss_reg_y: 0.8873 loss: 5.4067 2022/08/26 01:28:32 - mmengine - INFO - Epoch(train) [147][55/125] lr: 9.1191e-04 eta: 1 day, 2:28:59 time: 0.5063 data_time: 0.0156 memory: 9483 loss_text: 0.7177 loss_center: 2.7987 loss_reg_x: 1.0095 loss_reg_y: 1.0474 loss: 5.5733 2022/08/26 01:28:35 - mmengine - INFO - Epoch(train) [147][60/125] lr: 9.1191e-04 eta: 1 day, 2:28:47 time: 0.4957 data_time: 0.0151 memory: 9483 loss_text: 0.7853 loss_center: 2.8035 loss_reg_x: 1.0736 loss_reg_y: 1.1735 loss: 5.8359 2022/08/26 01:28:37 - mmengine - INFO - Epoch(train) [147][65/125] lr: 9.1191e-04 eta: 1 day, 2:28:47 time: 0.4950 data_time: 0.0137 memory: 9483 loss_text: 0.8058 loss_center: 2.8164 loss_reg_x: 1.1002 loss_reg_y: 1.1325 loss: 5.8549 2022/08/26 01:28:39 - mmengine - INFO - Epoch(train) [147][70/125] lr: 9.1191e-04 eta: 1 day, 2:28:34 time: 0.4846 data_time: 0.0135 memory: 9483 loss_text: 0.8060 loss_center: 2.8066 loss_reg_x: 0.9774 loss_reg_y: 0.9807 loss: 5.5707 2022/08/26 01:28:42 - mmengine - INFO - Epoch(train) [147][75/125] lr: 9.1191e-04 eta: 1 day, 2:28:34 time: 0.4851 data_time: 0.0184 memory: 9483 loss_text: 0.8248 loss_center: 2.8073 loss_reg_x: 0.9577 loss_reg_y: 0.9374 loss: 5.5272 2022/08/26 01:28:44 - mmengine - INFO - Epoch(train) [147][80/125] lr: 9.1191e-04 eta: 1 day, 2:28:22 time: 0.4945 data_time: 0.0200 memory: 9483 loss_text: 0.7753 loss_center: 2.8093 loss_reg_x: 0.