2022-11-02 15:12:29,195 - mmdet - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.3 (default, Jan 22 2021, 20:04:44) [GCC 8.3.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100 80GB PCIe CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: x86_64-linux-gnu-gcc (Debian 8.3.0-6) 8.3.0 PyTorch: 1.10.0 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 v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX512 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80 - CuDNN 8.2.1 - Built with CuDNN 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, 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 -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-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=1.10.0, 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: 0.11.1+cu113 OpenCV: 4.6.0 MMCV: 1.6.2 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.3 MMDetection: 2.25.2+d779fe3 ------------------------------------------------------------ 2022-11-02 15:12:31,015 - mmdet - INFO - Distributed training: True 2022-11-02 15:12:32,909 - mmdet - INFO - Config: model = dict( type='SelfSupDetector', backbone=dict( type='SelfSupRetinaNet', backbone=dict( type='ResNet', depth=50, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=4, norm_cfg=dict(type='SyncBN', requires_grad=False), norm_eval=True, style='pytorch', init_cfg=dict( type='Pretrained', checkpoint= 'pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth' )), neck=dict( type='FPN', in_channels=[256, 512, 1024, 2048], out_channels=256, start_level=1, add_extra_convs='on_input', num_outs=5), bbox_head=dict( type='SelfSupRetinaHead', num_classes=256, in_channels=256, stacked_convs=4, feat_channels=256, init_cfg=dict( type='Normal', layer='Conv2d', std=0.01, override=None), loss_cls=dict( type='ContrastiveLoss', loss_weight=1.0, temperature=0.5), loss_bbox=dict(type='L1Loss', loss_weight=1.0)), train_cfg=dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.5, neg_iou_thr=0.4, min_pos_iou=0, ignore_iof_thr=-1, gpu_assign_thr=-1), sampler=dict( type='RandomSampler', num=2048, pos_fraction=1.0, neg_pos_ub=-1, add_gt_as_proposals=False), allowed_border=-1, pos_weight=1, debug=False))) train_dataset_type = 'MultiViewCocoDataset' test_dataset_type = 'CocoDataset' data_root = 'data/coco/' classes = ['selective_search'] img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) load_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=False), dict(type='SelectTopKProposals', topk=80) ] train_pipeline1 = [ dict( type='Resize', img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), (1333, 768), (1333, 800)], multiscale_mode='value', keep_ratio=True), dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), dict(type='Pad', size_divisor=32), dict(type='RandFlip', flip_ratio=0.5), dict( type='OneOf', transforms=[ dict(type='Identity'), dict(type='AutoContrast'), dict(type='RandEqualize'), dict(type='RandSolarize'), dict(type='RandColor'), dict(type='RandContrast'), dict(type='RandBrightness'), dict(type='RandSharpness'), dict(type='RandPosterize') ]), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) ] train_pipeline2 = [ dict( type='Resize', img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), (1333, 768), (1333, 800)], multiscale_mode='value', keep_ratio=True), dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), dict(type='Pad', size_divisor=32), dict(type='RandFlip', flip_ratio=0.5), dict( type='OneOf', transforms=[ dict(type='Identity'), dict(type='AutoContrast'), dict(type='RandEqualize'), dict(type='RandSolarize'), dict(type='RandColor'), dict(type='RandContrast'), dict(type='RandBrightness'), dict(type='RandSharpness'), dict(type='RandPosterize') ]), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=2, workers_per_gpu=2, train=dict( type='MultiViewCocoDataset', dataset=dict( type='CocoDataset', classes=['selective_search'], ann_file= 'data/coco/filtered_proposals/train2017_ratio3size0008@0.5.json', img_prefix='data/coco/train2017/', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=False), dict(type='SelectTopKProposals', topk=80) ]), num_views=2, pipelines=[[{ 'type': 'Resize', 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736), (1333, 768), (1333, 800)], 'multiscale_mode': 'value', 'keep_ratio': True }, { 'type': 'FilterAnnotations', 'min_gt_bbox_wh': (0.01, 0.01) }, { 'type': 'Pad', 'size_divisor': 32 }, { 'type': 'RandFlip', 'flip_ratio': 0.5 }, { 'type': 'OneOf', 'transforms': [{ 'type': 'Identity' }, { 'type': 'AutoContrast' }, { 'type': 'RandEqualize' }, { 'type': 'RandSolarize' }, { 'type': 'RandColor' }, { 'type': 'RandContrast' }, { 'type': 'RandBrightness' }, { 'type': 'RandSharpness' }, { 'type': 'RandPosterize' }] }, { 'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True }, { 'type': 'DefaultFormatBundle' }, { 'type': 'Collect', 'keys': ['img', 'gt_bboxes', 'gt_labels'] }], [{ 'type': 'Resize', 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736), (1333, 768), (1333, 800)], 'multiscale_mode': 'value', 'keep_ratio': True }, { 'type': 'FilterAnnotations', 'min_gt_bbox_wh': (0.01, 0.01) }, { 'type': 'Pad', 'size_divisor': 32 }, { 'type': 'RandFlip', 'flip_ratio': 0.5 }, { 'type': 'OneOf', 'transforms': [{ 'type': 'Identity' }, { 'type': 'AutoContrast' }, { 'type': 'RandEqualize' }, { 'type': 'RandSolarize' }, { 'type': 'RandColor' }, { 'type': 'RandContrast' }, { 'type': 'RandBrightness' }, { 'type': 'RandSharpness' }, { 'type': 'RandPosterize' }] }, { 'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True }, { 'type': 'DefaultFormatBundle' }, { 'type': 'Collect', 'keys': ['img', 'gt_bboxes', 'gt_labels'] }]]), val=dict( type='CocoDataset', classes=['selective_search'], ann_file='data/coco/annotations/instances_val2017.json', img_prefix='data/coco/val2017/', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='CocoDataset', classes=['selective_search'], ann_file='data/coco/annotations/instances_val2017.json', img_prefix='data/coco/val2017/', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) evaluation = dict(interval=65535, gpu_collect=True) optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001) optimizer_config = dict(grad_clip=None) lr_config = dict( policy='step', warmup='linear', warmup_iters=500, warmup_ratio=0.001, step=[8, 11]) runner = dict(type='EpochBasedRunner', max_epochs=12) checkpoint_config = dict(interval=1) log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) custom_hooks = [ dict(type='MomentumUpdateHook'), dict( type='MMDetWandbHook', init_kwargs=dict(project='I2B', group='pretrain'), interval=50, num_eval_images=0, log_checkpoint=False) ] dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] opencv_num_threads = 0 mp_start_method = 'fork' auto_scale_lr = dict(enable=False, base_batch_size=16) custom_imports = dict( imports=[ 'mmselfsup.datasets.pipelines', 'selfsup.core.hook.momentum_update_hook', 'selfsup.datasets.pipelines.selfsup_pipelines', 'selfsup.datasets.pipelines.rand_aug', 'selfsup.datasets.single_view_coco', 'selfsup.datasets.multi_view_coco', 'selfsup.models.losses.contrastive_loss', 'selfsup.models.dense_heads.fcos_head', 'selfsup.models.dense_heads.retina_head', 'selfsup.models.dense_heads.detr_head', 'selfsup.models.dense_heads.deformable_detr_head', 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head', 'selfsup.models.roi_heads.standard_roi_head', 'selfsup.models.detectors.selfsup_detector', 'selfsup.models.detectors.selfsup_fcos', 'selfsup.models.detectors.selfsup_detr', 'selfsup.models.detectors.selfsup_deformable_detr', 'selfsup.models.detectors.selfsup_retinanet', 'selfsup.models.detectors.selfsup_mask_rcnn', 'selfsup.core.bbox.assigners.hungarian_assigner', 'selfsup.core.bbox.assigners.pseudo_hungarian_assigner', 'selfsup.core.bbox.match_costs.match_cost' ], allow_failed_imports=False) work_dir = 'work_dirs/selfsup_retinanet_1x_coco_mocov2_moco-setting' auto_resume = False gpu_ids = range(0, 8) 2022-11-02 15:12:32,909 - mmdet - INFO - Set random seed to 42, deterministic: False 2022-11-02 15:12:33,546 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth'} 2022-11-02 15:12:33,643 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2022-11-02 15:12:33,687 - mmdet - INFO - initialize SelfSupRetinaHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01, 'override': None} 2022-11-02 15:12:33,731 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth'} 2022-11-02 15:12:33,810 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2022-11-02 15:12:33,854 - mmdet - INFO - initialize SelfSupRetinaHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01, 'override': None} Name of parameter - Initialization information online_backbone.backbone.conv1.weight - torch.Size([64, 3, 7, 7]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.0.downsample.1.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.0.downsample.1.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.0.downsample.1.weight - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.0.downsample.1.bias - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth online_backbone.neck.lateral_convs.0.conv.weight - torch.Size([256, 512, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.lateral_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.lateral_convs.1.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.lateral_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.lateral_convs.2.conv.weight - torch.Size([256, 2048, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.lateral_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.fpn_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.fpn_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.fpn_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.fpn_convs.3.conv.weight - torch.Size([256, 2048, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.fpn_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.fpn_convs.4.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.fpn_convs.4.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.cls_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.cls_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.cls_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.cls_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.cls_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.cls_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.cls_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.cls_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.reg_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.reg_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.reg_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.reg_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.retina_cls.0.weight - torch.Size([256, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.retina_cls.0.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.retina_cls.2.weight - torch.Size([2304, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.retina_cls.2.bias - torch.Size([2304]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.retina_reg.weight - torch.Size([36, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.bbox_head.retina_reg.bias - torch.Size([36]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.backbone.conv1.weight - torch.Size([64, 3, 7, 7]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.0.downsample.1.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.0.downsample.1.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.0.downsample.1.weight - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.0.downsample.1.bias - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from pretrain/image-level/mocov2/mocov2_resnet50_256bs-coslr-800e_in1k.pth target_backbone.neck.lateral_convs.0.conv.weight - torch.Size([256, 512, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.lateral_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.lateral_convs.1.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.lateral_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.lateral_convs.2.conv.weight - torch.Size([256, 2048, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.lateral_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.fpn_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.fpn_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.fpn_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.fpn_convs.3.conv.weight - torch.Size([256, 2048, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.fpn_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.fpn_convs.4.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.fpn_convs.4.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.cls_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.cls_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.cls_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.cls_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.cls_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.cls_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.cls_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.cls_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.reg_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.reg_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.reg_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.reg_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.retina_cls.0.weight - torch.Size([256, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.retina_cls.0.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.retina_cls.2.weight - torch.Size([2304, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.retina_cls.2.bias - torch.Size([2304]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.retina_reg.weight - torch.Size([36, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.bbox_head.retina_reg.bias - torch.Size([36]): NormalInit: mean=0, std=0.01, bias=0 2022-11-02 15:12:58,103 - mmdet - INFO - Automatic scaling of learning rate (LR) has been disabled. 2022-11-02 15:12:58,461 - mmdet - INFO - Start running, host: tiger@n176-118-016, work_dir: /home/tiger/code/mmdet/work_dirs/selfsup_retinanet_1x_coco_mocov2_moco-setting 2022-11-02 15:12:58,461 - mmdet - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) CheckpointHook (NORMAL ) MMDetWandbHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) MMDetWandbHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) MomentumUpdateHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (NORMAL ) MomentumUpdateHook (NORMAL ) MMDetWandbHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (NORMAL ) MMDetWandbHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (NORMAL ) MMDetWandbHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (NORMAL ) MMDetWandbHook (VERY_LOW ) TextLoggerHook -------------------- after_run: (NORMAL ) MMDetWandbHook (VERY_LOW ) TextLoggerHook -------------------- 2022-11-02 15:12:58,461 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs 2022-11-02 15:12:58,462 - mmdet - INFO - Checkpoints will be saved to /home/tiger/code/mmdet/work_dirs/selfsup_retinanet_1x_coco_mocov2_moco-setting by HardDiskBackend. 2022-11-02 15:13:36,584 - mmdet - INFO - Epoch [1][50/7390] lr: 9.890e-04, eta: 18:02:53, time: 0.733, data_time: 0.067, memory: 42603, loss_cls: 8.8764, losses_bboxes: 0.6586, loss: 9.5350 2022-11-02 15:14:03,023 - mmdet - INFO - Epoch [1][100/7390] lr: 1.988e-03, eta: 15:32:00, time: 0.530, data_time: 0.008, memory: 42603, loss_cls: 8.8373, losses_bboxes: 0.6466, loss: 9.4839 2022-11-02 15:14:30,006 - mmdet - INFO - Epoch [1][150/7390] lr: 2.987e-03, eta: 14:45:34, time: 0.538, data_time: 0.007, memory: 42603, loss_cls: 8.8368, losses_bboxes: 0.6319, loss: 9.4687 2022-11-02 15:14:55,793 - mmdet - INFO - Epoch [1][200/7390] lr: 3.986e-03, eta: 14:13:41, time: 0.515, data_time: 0.009, memory: 42603, loss_cls: 8.8345, losses_bboxes: 0.6229, loss: 9.4574 2022-11-02 15:15:22,046 - mmdet - INFO - Epoch [1][250/7390] lr: 4.985e-03, eta: 13:57:59, time: 0.527, data_time: 0.009, memory: 42603, loss_cls: 8.8380, losses_bboxes: 0.6174, loss: 9.4554 2022-11-02 15:15:48,412 - mmdet - INFO - Epoch [1][300/7390] lr: 5.984e-03, eta: 13:47:00, time: 0.526, data_time: 0.007, memory: 42603, loss_cls: 8.8364, losses_bboxes: 0.6158, loss: 9.4522 2022-11-02 15:16:14,895 - mmdet - INFO - Epoch [1][350/7390] lr: 6.983e-03, eta: 13:40:03, time: 0.531, data_time: 0.009, memory: 42603, loss_cls: 8.8332, losses_bboxes: 0.6159, loss: 9.4491 2022-11-02 15:16:41,132 - mmdet - INFO - Epoch [1][400/7390] lr: 7.982e-03, eta: 13:33:48, time: 0.526, data_time: 0.008, memory: 42603, loss_cls: 8.8340, losses_bboxes: 0.6155, loss: 9.4495 2022-11-02 15:17:07,468 - mmdet - INFO - Epoch [1][450/7390] lr: 8.981e-03, eta: 13:29:00, time: 0.527, data_time: 0.007, memory: 42684, loss_cls: 8.8311, losses_bboxes: 0.6165, loss: 9.4476 2022-11-02 15:17:33,663 - mmdet - INFO - Epoch [1][500/7390] lr: 9.980e-03, eta: 13:24:32, time: 0.523, data_time: 0.007, memory: 42684, loss_cls: 8.8298, losses_bboxes: 0.6148, loss: 9.4446 2022-11-02 15:17:59,825 - mmdet - INFO - Epoch [1][550/7390] lr: 1.000e-02, eta: 13:20:57, time: 0.524, data_time: 0.009, memory: 42684, loss_cls: 8.8288, losses_bboxes: 0.6101, loss: 9.4389 2022-11-02 15:18:26,113 - mmdet - INFO - Epoch [1][600/7390] lr: 1.000e-02, eta: 13:17:50, time: 0.524, data_time: 0.008, memory: 42684, loss_cls: 8.8319, losses_bboxes: 0.6051, loss: 9.4370 2022-11-02 15:18:52,227 - mmdet - INFO - Epoch [1][650/7390] lr: 1.000e-02, eta: 13:15:13, time: 0.524, data_time: 0.010, memory: 42684, loss_cls: 8.8318, losses_bboxes: 0.6034, loss: 9.4352 2022-11-02 15:19:18,584 - mmdet - INFO - Epoch [1][700/7390] lr: 1.000e-02, eta: 13:13:13, time: 0.527, data_time: 0.008, memory: 42684, loss_cls: 8.8302, losses_bboxes: 0.6023, loss: 9.4325 2022-11-02 15:19:44,697 - mmdet - INFO - Epoch [1][750/7390] lr: 1.000e-02, eta: 13:10:55, time: 0.522, data_time: 0.008, memory: 42684, loss_cls: 8.8304, losses_bboxes: 0.6020, loss: 9.4324 2022-11-02 15:20:10,591 - mmdet - INFO - Epoch [1][800/7390] lr: 1.000e-02, eta: 13:08:28, time: 0.518, data_time: 0.008, memory: 42684, loss_cls: 8.8288, losses_bboxes: 0.6011, loss: 9.4299 2022-11-02 15:20:36,838 - mmdet - INFO - Epoch [1][850/7390] lr: 1.000e-02, eta: 13:06:55, time: 0.526, data_time: 0.008, memory: 42684, loss_cls: 8.8294, losses_bboxes: 0.6005, loss: 9.4299 2022-11-02 15:21:02,997 - mmdet - INFO - Epoch [1][900/7390] lr: 1.000e-02, eta: 13:05:14, time: 0.522, data_time: 0.008, memory: 42684, loss_cls: 8.8291, losses_bboxes: 0.6009, loss: 9.4300 2022-11-02 15:21:28,470 - mmdet - INFO - Epoch [1][950/7390] lr: 1.000e-02, eta: 13:02:39, time: 0.509, data_time: 0.008, memory: 42684, loss_cls: 8.8275, losses_bboxes: 0.6013, loss: 9.4288 2022-11-02 15:21:54,761 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 15:21:54,762 - mmdet - INFO - Epoch [1][1000/7390] lr: 1.000e-02, eta: 13:01:30, time: 0.526, data_time: 0.009, memory: 42684, loss_cls: 8.8280, losses_bboxes: 0.6010, loss: 9.4290 2022-11-02 15:22:20,761 - mmdet - INFO - Epoch [1][1050/7390] lr: 1.000e-02, eta: 13:00:03, time: 0.520, data_time: 0.009, memory: 42684, loss_cls: 8.8335, losses_bboxes: 0.5998, loss: 9.4333 2022-11-02 15:22:46,326 - mmdet - INFO - Epoch [1][1100/7390] lr: 1.000e-02, eta: 12:58:09, time: 0.512, data_time: 0.009, memory: 42684, loss_cls: 8.8308, losses_bboxes: 0.6006, loss: 9.4314 2022-11-02 15:23:12,221 - mmdet - INFO - Epoch [1][1150/7390] lr: 1.000e-02, eta: 12:56:45, time: 0.518, data_time: 0.008, memory: 42684, loss_cls: 8.8297, losses_bboxes: 0.5998, loss: 9.4295 2022-11-02 15:23:38,039 - mmdet - INFO - Epoch [1][1200/7390] lr: 1.000e-02, eta: 12:55:17, time: 0.516, data_time: 0.008, memory: 42684, loss_cls: 8.8300, losses_bboxes: 0.5992, loss: 9.4292 2022-11-02 15:24:03,453 - mmdet - INFO - Epoch [1][1250/7390] lr: 1.000e-02, eta: 12:53:31, time: 0.509, data_time: 0.008, memory: 42684, loss_cls: 8.8341, losses_bboxes: 0.5987, loss: 9.4327 2022-11-02 15:24:29,561 - mmdet - INFO - Epoch [1][1300/7390] lr: 1.000e-02, eta: 12:52:35, time: 0.522, data_time: 0.008, memory: 42684, loss_cls: 8.8330, losses_bboxes: 0.5980, loss: 9.4310 2022-11-02 15:24:55,535 - mmdet - INFO - Epoch [1][1350/7390] lr: 1.000e-02, eta: 12:51:33, time: 0.520, data_time: 0.008, memory: 42684, loss_cls: 8.8326, losses_bboxes: 0.5975, loss: 9.4302 2022-11-02 15:25:21,595 - mmdet - INFO - Epoch [1][1400/7390] lr: 1.000e-02, eta: 12:50:37, time: 0.521, data_time: 0.007, memory: 42684, loss_cls: 8.8344, losses_bboxes: 0.5973, loss: 9.4317 2022-11-02 15:25:47,192 - mmdet - INFO - Epoch [1][1450/7390] lr: 1.000e-02, eta: 12:49:19, time: 0.512, data_time: 0.008, memory: 42684, loss_cls: 8.8269, losses_bboxes: 0.5978, loss: 9.4248 2022-11-02 15:26:13,418 - mmdet - INFO - Epoch [1][1500/7390] lr: 1.000e-02, eta: 12:48:35, time: 0.523, data_time: 0.007, memory: 42684, loss_cls: 8.8332, losses_bboxes: 0.5957, loss: 9.4289 2022-11-02 15:26:39,183 - mmdet - INFO - Epoch [1][1550/7390] lr: 1.000e-02, eta: 12:47:32, time: 0.516, data_time: 0.009, memory: 42684, loss_cls: 8.8326, losses_bboxes: 0.5941, loss: 9.4268 2022-11-02 15:27:05,091 - mmdet - INFO - Epoch [1][1600/7390] lr: 1.000e-02, eta: 12:46:39, time: 0.519, data_time: 0.008, memory: 42684, loss_cls: 8.8321, losses_bboxes: 0.5931, loss: 9.4252 2022-11-02 15:27:31,329 - mmdet - INFO - Epoch [1][1650/7390] lr: 1.000e-02, eta: 12:46:02, time: 0.524, data_time: 0.007, memory: 42684, loss_cls: 8.8354, losses_bboxes: 0.5913, loss: 9.4267 2022-11-02 15:27:57,072 - mmdet - INFO - Epoch [1][1700/7390] lr: 1.000e-02, eta: 12:45:01, time: 0.515, data_time: 0.008, memory: 42684, loss_cls: 8.8337, losses_bboxes: 0.5904, loss: 9.4241 2022-11-02 15:28:23,205 - mmdet - INFO - Epoch [1][1750/7390] lr: 1.000e-02, eta: 12:44:20, time: 0.521, data_time: 0.008, memory: 42684, loss_cls: 8.8360, losses_bboxes: 0.5889, loss: 9.4249 2022-11-02 15:28:48,929 - mmdet - INFO - Epoch [1][1800/7390] lr: 1.000e-02, eta: 12:43:23, time: 0.515, data_time: 0.009, memory: 42684, loss_cls: 8.8316, losses_bboxes: 0.5879, loss: 9.4195 2022-11-02 15:29:14,787 - mmdet - INFO - Epoch [1][1850/7390] lr: 1.000e-02, eta: 12:42:35, time: 0.518, data_time: 0.009, memory: 42684, loss_cls: 8.8332, losses_bboxes: 0.5872, loss: 9.4204 2022-11-02 15:29:40,709 - mmdet - INFO - Epoch [1][1900/7390] lr: 1.000e-02, eta: 12:41:47, time: 0.518, data_time: 0.008, memory: 42684, loss_cls: 8.8327, losses_bboxes: 0.5853, loss: 9.4180 2022-11-02 15:30:06,205 - mmdet - INFO - Epoch [1][1950/7390] lr: 1.000e-02, eta: 12:40:45, time: 0.510, data_time: 0.009, memory: 42684, loss_cls: 8.8318, losses_bboxes: 0.5856, loss: 9.4173 2022-11-02 15:30:32,394 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 15:30:32,395 - mmdet - INFO - Epoch [1][2000/7390] lr: 1.000e-02, eta: 12:40:15, time: 0.524, data_time: 0.009, memory: 42684, loss_cls: 8.8339, losses_bboxes: 0.5840, loss: 9.4178 2022-11-02 15:30:58,666 - mmdet - INFO - Epoch [1][2050/7390] lr: 1.000e-02, eta: 12:39:44, time: 0.524, data_time: 0.007, memory: 42684, loss_cls: 8.8340, losses_bboxes: 0.5832, loss: 9.4172 2022-11-02 15:31:24,927 - mmdet - INFO - Epoch [1][2100/7390] lr: 1.000e-02, eta: 12:39:17, time: 0.526, data_time: 0.008, memory: 42684, loss_cls: 8.8343, losses_bboxes: 0.5820, loss: 9.4163 2022-11-02 15:31:50,975 - mmdet - INFO - Epoch [1][2150/7390] lr: 1.000e-02, eta: 12:38:41, time: 0.521, data_time: 0.008, memory: 42765, loss_cls: 8.8338, losses_bboxes: 0.5810, loss: 9.4148 2022-11-02 15:32:17,623 - mmdet - INFO - Epoch [1][2200/7390] lr: 1.000e-02, eta: 12:38:28, time: 0.533, data_time: 0.008, memory: 42765, loss_cls: 8.8340, losses_bboxes: 0.5804, loss: 9.4144 2022-11-02 15:32:43,783 - mmdet - INFO - Epoch [1][2250/7390] lr: 1.000e-02, eta: 12:37:54, time: 0.522, data_time: 0.007, memory: 42765, loss_cls: 8.8338, losses_bboxes: 0.5793, loss: 9.4131 2022-11-02 15:33:09,639 - mmdet - INFO - Epoch [1][2300/7390] lr: 1.000e-02, eta: 12:37:08, time: 0.516, data_time: 0.009, memory: 42765, loss_cls: 8.8352, losses_bboxes: 0.5768, loss: 9.4120 2022-11-02 15:33:35,774 - mmdet - INFO - Epoch [1][2350/7390] lr: 1.000e-02, eta: 12:36:38, time: 0.524, data_time: 0.010, memory: 42835, loss_cls: 8.8366, losses_bboxes: 0.5735, loss: 9.4101 2022-11-02 15:34:01,747 - mmdet - INFO - Epoch [1][2400/7390] lr: 1.000e-02, eta: 12:36:01, time: 0.520, data_time: 0.009, memory: 42835, loss_cls: 8.8351, losses_bboxes: 0.5718, loss: 9.4070 2022-11-02 15:34:28,000 - mmdet - INFO - Epoch [1][2450/7390] lr: 1.000e-02, eta: 12:35:35, time: 0.526, data_time: 0.009, memory: 42835, loss_cls: 8.8392, losses_bboxes: 0.5682, loss: 9.4074 2022-11-02 15:34:53,299 - mmdet - INFO - Epoch [1][2500/7390] lr: 1.000e-02, eta: 12:34:34, time: 0.506, data_time: 0.007, memory: 42835, loss_cls: 8.8350, losses_bboxes: 0.5654, loss: 9.4003 2022-11-02 15:35:19,168 - mmdet - INFO - Epoch [1][2550/7390] lr: 1.000e-02, eta: 12:33:54, time: 0.517, data_time: 0.008, memory: 42835, loss_cls: 8.8375, losses_bboxes: 0.5624, loss: 9.3999 2022-11-02 15:35:45,370 - mmdet - INFO - Epoch [1][2600/7390] lr: 1.000e-02, eta: 12:33:24, time: 0.523, data_time: 0.008, memory: 42835, loss_cls: 8.8335, losses_bboxes: 0.5586, loss: 9.3921 2022-11-02 15:36:11,393 - mmdet - INFO - Epoch [1][2650/7390] lr: 1.000e-02, eta: 12:32:51, time: 0.521, data_time: 0.009, memory: 42835, loss_cls: 8.8361, losses_bboxes: 0.5551, loss: 9.3912 2022-11-02 15:36:37,257 - mmdet - INFO - Epoch [1][2700/7390] lr: 1.000e-02, eta: 12:32:14, time: 0.519, data_time: 0.009, memory: 42835, loss_cls: 8.8329, losses_bboxes: 0.5535, loss: 9.3864 2022-11-02 15:37:03,219 - mmdet - INFO - Epoch [1][2750/7390] lr: 1.000e-02, eta: 12:31:35, time: 0.516, data_time: 0.007, memory: 42835, loss_cls: 8.8314, losses_bboxes: 0.5510, loss: 9.3823 2022-11-02 15:37:29,643 - mmdet - INFO - Epoch [1][2800/7390] lr: 1.000e-02, eta: 12:31:14, time: 0.529, data_time: 0.010, memory: 42835, loss_cls: 8.8381, losses_bboxes: 0.5498, loss: 9.3880 2022-11-02 15:37:55,317 - mmdet - INFO - Epoch [1][2850/7390] lr: 1.000e-02, eta: 12:30:35, time: 0.516, data_time: 0.010, memory: 42835, loss_cls: 8.8321, losses_bboxes: 0.5464, loss: 9.3785 2022-11-02 15:38:21,542 - mmdet - INFO - Epoch [1][2900/7390] lr: 1.000e-02, eta: 12:30:08, time: 0.525, data_time: 0.007, memory: 42835, loss_cls: 8.8363, losses_bboxes: 0.5446, loss: 9.3809 2022-11-02 15:38:47,291 - mmdet - INFO - Epoch [1][2950/7390] lr: 1.000e-02, eta: 12:29:28, time: 0.515, data_time: 0.007, memory: 42835, loss_cls: 8.8323, losses_bboxes: 0.5429, loss: 9.3752 2022-11-02 15:39:13,094 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 15:39:13,094 - mmdet - INFO - Epoch [1][3000/7390] lr: 1.000e-02, eta: 12:28:48, time: 0.515, data_time: 0.008, memory: 42835, loss_cls: 8.8355, losses_bboxes: 0.5418, loss: 9.3773 2022-11-02 15:39:38,961 - mmdet - INFO - Epoch [1][3050/7390] lr: 1.000e-02, eta: 12:28:14, time: 0.518, data_time: 0.009, memory: 42835, loss_cls: 8.8353, losses_bboxes: 0.5400, loss: 9.3754 2022-11-02 15:40:05,339 - mmdet - INFO - Epoch [1][3100/7390] lr: 1.000e-02, eta: 12:27:46, time: 0.524, data_time: 0.008, memory: 42835, loss_cls: 8.8312, losses_bboxes: 0.5398, loss: 9.3710 2022-11-02 15:40:31,590 - mmdet - INFO - Epoch [1][3150/7390] lr: 1.000e-02, eta: 12:27:25, time: 0.528, data_time: 0.012, memory: 42835, loss_cls: 8.8319, losses_bboxes: 0.5390, loss: 9.3709 2022-11-02 15:40:57,349 - mmdet - INFO - Epoch [1][3200/7390] lr: 1.000e-02, eta: 12:26:45, time: 0.514, data_time: 0.009, memory: 42835, loss_cls: 8.8363, losses_bboxes: 0.5376, loss: 9.3739 2022-11-02 15:41:23,271 - mmdet - INFO - Epoch [1][3250/7390] lr: 1.000e-02, eta: 12:26:10, time: 0.518, data_time: 0.010, memory: 42835, loss_cls: 8.8355, losses_bboxes: 0.5364, loss: 9.3718 2022-11-02 15:41:49,099 - mmdet - INFO - Epoch [1][3300/7390] lr: 1.000e-02, eta: 12:25:38, time: 0.519, data_time: 0.011, memory: 42835, loss_cls: 8.8369, losses_bboxes: 0.5370, loss: 9.3739 2022-11-02 15:42:14,872 - mmdet - INFO - Epoch [1][3350/7390] lr: 1.000e-02, eta: 12:25:01, time: 0.516, data_time: 0.008, memory: 42835, loss_cls: 8.8326, losses_bboxes: 0.5357, loss: 9.3684 2022-11-02 15:42:40,556 - mmdet - INFO - Epoch [1][3400/7390] lr: 1.000e-02, eta: 12:24:22, time: 0.513, data_time: 0.007, memory: 42835, loss_cls: 8.8340, losses_bboxes: 0.5330, loss: 9.3670 2022-11-02 15:43:06,660 - mmdet - INFO - Epoch [1][3450/7390] lr: 1.000e-02, eta: 12:23:54, time: 0.523, data_time: 0.008, memory: 42835, loss_cls: 8.8338, losses_bboxes: 0.5325, loss: 9.3663 2022-11-02 15:43:32,384 - mmdet - INFO - Epoch [1][3500/7390] lr: 1.000e-02, eta: 12:23:13, time: 0.511, data_time: 0.008, memory: 42835, loss_cls: 8.8337, losses_bboxes: 0.5322, loss: 9.3659 2022-11-02 15:44:05,365 - mmdet - INFO - Epoch [1][3550/7390] lr: 1.000e-02, eta: 12:25:32, time: 0.662, data_time: 0.011, memory: 42835, loss_cls: 8.8356, losses_bboxes: 0.5327, loss: 9.3683 2022-11-02 15:44:38,445 - mmdet - INFO - Epoch [1][3600/7390] lr: 1.000e-02, eta: 12:27:47, time: 0.662, data_time: 0.009, memory: 42856, loss_cls: 8.8351, losses_bboxes: 0.5294, loss: 9.3645 2022-11-02 15:45:09,197 - mmdet - INFO - Epoch [1][3650/7390] lr: 1.000e-02, eta: 12:29:04, time: 0.616, data_time: 0.009, memory: 42856, loss_cls: 8.8336, losses_bboxes: 0.5300, loss: 9.3636 2022-11-02 15:45:35,432 - mmdet - INFO - Epoch [1][3700/7390] lr: 1.000e-02, eta: 12:28:31, time: 0.523, data_time: 0.007, memory: 42856, loss_cls: 8.8349, losses_bboxes: 0.5274, loss: 9.3624 2022-11-02 15:46:01,647 - mmdet - INFO - Epoch [1][3750/7390] lr: 1.000e-02, eta: 12:27:59, time: 0.524, data_time: 0.010, memory: 42856, loss_cls: 8.8356, losses_bboxes: 0.5267, loss: 9.3623 2022-11-02 15:46:27,621 - mmdet - INFO - Epoch [1][3800/7390] lr: 1.000e-02, eta: 12:27:25, time: 0.521, data_time: 0.010, memory: 42856, loss_cls: 8.8307, losses_bboxes: 0.5276, loss: 9.3582 2022-11-02 15:46:53,728 - mmdet - INFO - Epoch [1][3850/7390] lr: 1.000e-02, eta: 12:26:52, time: 0.523, data_time: 0.008, memory: 42856, loss_cls: 8.8332, losses_bboxes: 0.5262, loss: 9.3594 2022-11-02 15:47:19,898 - mmdet - INFO - Epoch [1][3900/7390] lr: 1.000e-02, eta: 12:26:20, time: 0.523, data_time: 0.008, memory: 42856, loss_cls: 8.8363, losses_bboxes: 0.5264, loss: 9.3627 2022-11-02 15:47:46,160 - mmdet - INFO - Epoch [1][3950/7390] lr: 1.000e-02, eta: 12:25:49, time: 0.524, data_time: 0.008, memory: 42856, loss_cls: 8.8349, losses_bboxes: 0.5271, loss: 9.3619 2022-11-02 15:48:11,978 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 15:48:11,979 - mmdet - INFO - Epoch [1][4000/7390] lr: 1.000e-02, eta: 12:25:10, time: 0.516, data_time: 0.009, memory: 42856, loss_cls: 8.8303, losses_bboxes: 0.5251, loss: 9.3554 2022-11-02 15:48:38,080 - mmdet - INFO - Epoch [1][4050/7390] lr: 1.000e-02, eta: 12:24:38, time: 0.523, data_time: 0.010, memory: 42856, loss_cls: 8.8388, losses_bboxes: 0.5242, loss: 9.3629 2022-11-02 15:49:03,766 - mmdet - INFO - Epoch [1][4100/7390] lr: 1.000e-02, eta: 12:23:58, time: 0.514, data_time: 0.009, memory: 42856, loss_cls: 8.8327, losses_bboxes: 0.5242, loss: 9.3569 2022-11-02 15:49:29,491 - mmdet - INFO - Epoch [1][4150/7390] lr: 1.000e-02, eta: 12:23:16, time: 0.513, data_time: 0.008, memory: 42856, loss_cls: 8.8336, losses_bboxes: 0.5227, loss: 9.3563 2022-11-02 15:49:55,343 - mmdet - INFO - Epoch [1][4200/7390] lr: 1.000e-02, eta: 12:22:39, time: 0.517, data_time: 0.010, memory: 42856, loss_cls: 8.8348, losses_bboxes: 0.5223, loss: 9.3571 2022-11-02 15:50:21,516 - mmdet - INFO - Epoch [1][4250/7390] lr: 1.000e-02, eta: 12:22:11, time: 0.526, data_time: 0.010, memory: 42856, loss_cls: 8.8332, losses_bboxes: 0.5224, loss: 9.3556 2022-11-02 15:50:47,281 - mmdet - INFO - Epoch [1][4300/7390] lr: 1.000e-02, eta: 12:21:32, time: 0.514, data_time: 0.008, memory: 42856, loss_cls: 8.8355, losses_bboxes: 0.5222, loss: 9.3577 2022-11-02 15:51:13,037 - mmdet - INFO - Epoch [1][4350/7390] lr: 1.000e-02, eta: 12:20:53, time: 0.514, data_time: 0.009, memory: 42856, loss_cls: 8.8346, losses_bboxes: 0.5192, loss: 9.3538 2022-11-02 15:51:39,059 - mmdet - INFO - Epoch [1][4400/7390] lr: 1.000e-02, eta: 12:20:22, time: 0.522, data_time: 0.009, memory: 42856, loss_cls: 8.8326, losses_bboxes: 0.5199, loss: 9.3525 2022-11-02 15:52:05,145 - mmdet - INFO - Epoch [1][4450/7390] lr: 1.000e-02, eta: 12:19:48, time: 0.520, data_time: 0.008, memory: 42856, loss_cls: 8.8372, losses_bboxes: 0.5201, loss: 9.3573 2022-11-02 15:52:31,338 - mmdet - INFO - Epoch [1][4500/7390] lr: 1.000e-02, eta: 12:19:20, time: 0.525, data_time: 0.010, memory: 42856, loss_cls: 8.8364, losses_bboxes: 0.5199, loss: 9.3563 2022-11-02 15:52:57,164 - mmdet - INFO - Epoch [1][4550/7390] lr: 1.000e-02, eta: 12:18:45, time: 0.517, data_time: 0.008, memory: 42856, loss_cls: 8.8376, losses_bboxes: 0.5196, loss: 9.3572 2022-11-02 15:53:22,919 - mmdet - INFO - Epoch [1][4600/7390] lr: 1.000e-02, eta: 12:18:06, time: 0.513, data_time: 0.008, memory: 42856, loss_cls: 8.8328, losses_bboxes: 0.5180, loss: 9.3507 2022-11-02 15:53:48,453 - mmdet - INFO - Epoch [1][4650/7390] lr: 1.000e-02, eta: 12:17:27, time: 0.513, data_time: 0.012, memory: 42856, loss_cls: 8.8362, losses_bboxes: 0.5173, loss: 9.3535 2022-11-02 15:54:14,413 - mmdet - INFO - Epoch [1][4700/7390] lr: 1.000e-02, eta: 12:16:53, time: 0.518, data_time: 0.008, memory: 42856, loss_cls: 8.8331, losses_bboxes: 0.5190, loss: 9.3521 2022-11-02 15:54:40,690 - mmdet - INFO - Epoch [1][4750/7390] lr: 1.000e-02, eta: 12:16:26, time: 0.526, data_time: 0.009, memory: 42856, loss_cls: 8.8305, losses_bboxes: 0.5180, loss: 9.3485 2022-11-02 15:55:06,849 - mmdet - INFO - Epoch [1][4800/7390] lr: 1.000e-02, eta: 12:15:57, time: 0.524, data_time: 0.009, memory: 42856, loss_cls: 8.8311, losses_bboxes: 0.5183, loss: 9.3494 2022-11-02 15:55:32,981 - mmdet - INFO - Epoch [1][4850/7390] lr: 1.000e-02, eta: 12:15:28, time: 0.523, data_time: 0.008, memory: 42856, loss_cls: 8.8342, losses_bboxes: 0.5160, loss: 9.3502 2022-11-02 15:55:58,801 - mmdet - INFO - Epoch [1][4900/7390] lr: 1.000e-02, eta: 12:14:52, time: 0.516, data_time: 0.008, memory: 42856, loss_cls: 8.8357, losses_bboxes: 0.5165, loss: 9.3521 2022-11-02 15:56:25,200 - mmdet - INFO - Epoch [1][4950/7390] lr: 1.000e-02, eta: 12:14:27, time: 0.528, data_time: 0.009, memory: 42856, loss_cls: 8.8354, losses_bboxes: 0.5167, loss: 9.3521 2022-11-02 15:56:51,333 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 15:56:51,333 - mmdet - INFO - Epoch [1][5000/7390] lr: 1.000e-02, eta: 12:13:59, time: 0.524, data_time: 0.009, memory: 42856, loss_cls: 8.8361, losses_bboxes: 0.5163, loss: 9.3523 2022-11-02 15:57:17,580 - mmdet - INFO - Epoch [1][5050/7390] lr: 1.000e-02, eta: 12:13:30, time: 0.523, data_time: 0.008, memory: 42856, loss_cls: 8.8331, losses_bboxes: 0.5152, loss: 9.3483 2022-11-02 15:57:43,716 - mmdet - INFO - Epoch [1][5100/7390] lr: 1.000e-02, eta: 12:13:01, time: 0.522, data_time: 0.009, memory: 42856, loss_cls: 8.8331, losses_bboxes: 0.5152, loss: 9.3483 2022-11-02 15:58:09,715 - mmdet - INFO - Epoch [1][5150/7390] lr: 1.000e-02, eta: 12:12:31, time: 0.522, data_time: 0.010, memory: 42856, loss_cls: 8.8345, losses_bboxes: 0.5145, loss: 9.3490 2022-11-02 15:58:35,730 - mmdet - INFO - Epoch [1][5200/7390] lr: 1.000e-02, eta: 12:11:58, time: 0.518, data_time: 0.008, memory: 42856, loss_cls: 8.8335, losses_bboxes: 0.5149, loss: 9.3484 2022-11-02 15:59:02,020 - mmdet - INFO - Epoch [1][5250/7390] lr: 1.000e-02, eta: 12:11:31, time: 0.525, data_time: 0.010, memory: 42856, loss_cls: 8.8356, losses_bboxes: 0.5157, loss: 9.3513 2022-11-02 15:59:27,756 - mmdet - INFO - Epoch [1][5300/7390] lr: 1.000e-02, eta: 12:10:58, time: 0.517, data_time: 0.010, memory: 42856, loss_cls: 8.8379, losses_bboxes: 0.5142, loss: 9.3521 2022-11-02 15:59:53,783 - mmdet - INFO - Epoch [1][5350/7390] lr: 1.000e-02, eta: 12:10:27, time: 0.520, data_time: 0.008, memory: 42856, loss_cls: 8.8306, losses_bboxes: 0.5139, loss: 9.3445 2022-11-02 16:00:19,594 - mmdet - INFO - Epoch [1][5400/7390] lr: 1.000e-02, eta: 12:09:53, time: 0.516, data_time: 0.008, memory: 42856, loss_cls: 8.8290, losses_bboxes: 0.5130, loss: 9.3421 2022-11-02 16:00:45,745 - mmdet - INFO - Epoch [1][5450/7390] lr: 1.000e-02, eta: 12:09:24, time: 0.522, data_time: 0.008, memory: 42856, loss_cls: 8.8363, losses_bboxes: 0.5133, loss: 9.3497 2022-11-02 16:01:11,568 - mmdet - INFO - Epoch [1][5500/7390] lr: 1.000e-02, eta: 12:08:50, time: 0.516, data_time: 0.009, memory: 42856, loss_cls: 8.8361, losses_bboxes: 0.5125, loss: 9.3487 2022-11-02 16:01:37,703 - mmdet - INFO - Epoch [1][5550/7390] lr: 1.000e-02, eta: 12:08:23, time: 0.524, data_time: 0.010, memory: 42856, loss_cls: 8.8336, losses_bboxes: 0.5121, loss: 9.3457 2022-11-02 16:02:03,449 - mmdet - INFO - Epoch [1][5600/7390] lr: 1.000e-02, eta: 12:07:49, time: 0.516, data_time: 0.008, memory: 42856, loss_cls: 8.8328, losses_bboxes: 0.5135, loss: 9.3463 2022-11-02 16:02:28,818 - mmdet - INFO - Epoch [1][5650/7390] lr: 1.000e-02, eta: 12:07:08, time: 0.506, data_time: 0.007, memory: 42856, loss_cls: 8.8350, losses_bboxes: 0.5120, loss: 9.3470 2022-11-02 16:02:54,607 - mmdet - INFO - Epoch [1][5700/7390] lr: 1.000e-02, eta: 12:06:35, time: 0.516, data_time: 0.009, memory: 42861, loss_cls: 8.8341, losses_bboxes: 0.5115, loss: 9.3457 2022-11-02 16:03:20,036 - mmdet - INFO - Epoch [1][5750/7390] lr: 1.000e-02, eta: 12:05:57, time: 0.510, data_time: 0.009, memory: 42861, loss_cls: 8.8328, losses_bboxes: 0.5119, loss: 9.3447 2022-11-02 16:03:46,234 - mmdet - INFO - Epoch [1][5800/7390] lr: 1.000e-02, eta: 12:05:30, time: 0.523, data_time: 0.008, memory: 42861, loss_cls: 8.8330, losses_bboxes: 0.5112, loss: 9.3442 2022-11-02 16:04:12,381 - mmdet - INFO - Epoch [1][5850/7390] lr: 1.000e-02, eta: 12:05:01, time: 0.522, data_time: 0.009, memory: 42861, loss_cls: 8.8310, losses_bboxes: 0.5107, loss: 9.3417 2022-11-02 16:04:38,299 - mmdet - INFO - Epoch [1][5900/7390] lr: 1.000e-02, eta: 12:04:30, time: 0.519, data_time: 0.010, memory: 42861, loss_cls: 8.8362, losses_bboxes: 0.5122, loss: 9.3483 2022-11-02 16:05:04,719 - mmdet - INFO - Epoch [1][5950/7390] lr: 1.000e-02, eta: 12:04:07, time: 0.529, data_time: 0.009, memory: 42861, loss_cls: 8.8314, losses_bboxes: 0.5118, loss: 9.3432 2022-11-02 16:05:31,041 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 16:05:31,041 - mmdet - INFO - Epoch [1][6000/7390] lr: 1.000e-02, eta: 12:03:42, time: 0.527, data_time: 0.008, memory: 42861, loss_cls: 8.8375, losses_bboxes: 0.5120, loss: 9.3494 2022-11-02 16:05:57,242 - mmdet - INFO - Epoch [1][6050/7390] lr: 1.000e-02, eta: 12:03:14, time: 0.523, data_time: 0.008, memory: 42861, loss_cls: 8.8308, losses_bboxes: 0.5107, loss: 9.3416 2022-11-02 16:06:23,135 - mmdet - INFO - Epoch [1][6100/7390] lr: 1.000e-02, eta: 12:02:43, time: 0.518, data_time: 0.009, memory: 42861, loss_cls: 8.8339, losses_bboxes: 0.5094, loss: 9.3433 2022-11-02 16:06:49,080 - mmdet - INFO - Epoch [1][6150/7390] lr: 1.000e-02, eta: 12:02:12, time: 0.517, data_time: 0.008, memory: 42861, loss_cls: 8.8345, losses_bboxes: 0.5121, loss: 9.3466 2022-11-02 16:07:14,846 - mmdet - INFO - Epoch [1][6200/7390] lr: 1.000e-02, eta: 12:01:40, time: 0.516, data_time: 0.010, memory: 42861, loss_cls: 8.8335, losses_bboxes: 0.5091, loss: 9.3426 2022-11-02 16:07:40,741 - mmdet - INFO - Epoch [1][6250/7390] lr: 1.000e-02, eta: 12:01:08, time: 0.517, data_time: 0.009, memory: 42861, loss_cls: 8.8373, losses_bboxes: 0.5100, loss: 9.3473 2022-11-02 16:08:06,887 - mmdet - INFO - Epoch [1][6300/7390] lr: 1.000e-02, eta: 12:00:40, time: 0.523, data_time: 0.010, memory: 42999, loss_cls: 8.8359, losses_bboxes: 0.5104, loss: 9.3462 2022-11-02 16:08:32,873 - mmdet - INFO - Epoch [1][6350/7390] lr: 1.000e-02, eta: 12:00:12, time: 0.521, data_time: 0.010, memory: 42999, loss_cls: 8.8321, losses_bboxes: 0.5093, loss: 9.3414 2022-11-02 16:08:58,203 - mmdet - INFO - Epoch [1][6400/7390] lr: 1.000e-02, eta: 11:59:34, time: 0.506, data_time: 0.009, memory: 42999, loss_cls: 8.8314, losses_bboxes: 0.5100, loss: 9.3413 2022-11-02 16:09:24,328 - mmdet - INFO - Epoch [1][6450/7390] lr: 1.000e-02, eta: 11:59:05, time: 0.520, data_time: 0.009, memory: 42999, loss_cls: 8.8347, losses_bboxes: 0.5098, loss: 9.3445 2022-11-02 16:09:50,021 - mmdet - INFO - Epoch [1][6500/7390] lr: 1.000e-02, eta: 11:58:33, time: 0.516, data_time: 0.011, memory: 42999, loss_cls: 8.8349, losses_bboxes: 0.5093, loss: 9.3441 2022-11-02 16:10:16,046 - mmdet - INFO - Epoch [1][6550/7390] lr: 1.000e-02, eta: 11:58:05, time: 0.521, data_time: 0.009, memory: 42999, loss_cls: 8.8350, losses_bboxes: 0.5085, loss: 9.3436 2022-11-02 16:10:42,261 - mmdet - INFO - Epoch [1][6600/7390] lr: 1.000e-02, eta: 11:57:38, time: 0.524, data_time: 0.008, memory: 42999, loss_cls: 8.8312, losses_bboxes: 0.5090, loss: 9.3402 2022-11-02 16:11:08,282 - mmdet - INFO - Epoch [1][6650/7390] lr: 1.000e-02, eta: 11:57:09, time: 0.519, data_time: 0.008, memory: 42999, loss_cls: 8.8370, losses_bboxes: 0.5077, loss: 9.3447 2022-11-02 16:11:34,243 - mmdet - INFO - Epoch [1][6700/7390] lr: 1.000e-02, eta: 11:56:39, time: 0.518, data_time: 0.009, memory: 42999, loss_cls: 8.8340, losses_bboxes: 0.5071, loss: 9.3411 2022-11-02 16:12:00,004 - mmdet - INFO - Epoch [1][6750/7390] lr: 1.000e-02, eta: 11:56:07, time: 0.516, data_time: 0.010, memory: 42999, loss_cls: 8.8349, losses_bboxes: 0.5090, loss: 9.3439 2022-11-02 16:12:25,576 - mmdet - INFO - Epoch [1][6800/7390] lr: 1.000e-02, eta: 11:55:33, time: 0.510, data_time: 0.009, memory: 42999, loss_cls: 8.8341, losses_bboxes: 0.5088, loss: 9.3428 2022-11-02 16:12:51,398 - mmdet - INFO - Epoch [1][6850/7390] lr: 1.000e-02, eta: 11:55:02, time: 0.518, data_time: 0.010, memory: 42999, loss_cls: 8.8333, losses_bboxes: 0.5068, loss: 9.3401 2022-11-02 16:13:17,380 - mmdet - INFO - Epoch [1][6900/7390] lr: 1.000e-02, eta: 11:54:33, time: 0.519, data_time: 0.009, memory: 42999, loss_cls: 8.8329, losses_bboxes: 0.5067, loss: 9.3396 2022-11-02 16:13:43,316 - mmdet - INFO - Epoch [1][6950/7390] lr: 1.000e-02, eta: 11:54:04, time: 0.520, data_time: 0.009, memory: 42999, loss_cls: 8.8338, losses_bboxes: 0.5063, loss: 9.3401 2022-11-02 16:14:09,133 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 16:14:09,133 - mmdet - INFO - Epoch [1][7000/7390] lr: 1.000e-02, eta: 11:53:34, time: 0.517, data_time: 0.008, memory: 42999, loss_cls: 8.8314, losses_bboxes: 0.5053, loss: 9.3367 2022-11-02 16:14:35,176 - mmdet - INFO - Epoch [1][7050/7390] lr: 1.000e-02, eta: 11:53:05, time: 0.519, data_time: 0.008, memory: 42999, loss_cls: 8.8324, losses_bboxes: 0.5071, loss: 9.3395 2022-11-02 16:15:01,183 - mmdet - INFO - Epoch [1][7100/7390] lr: 1.000e-02, eta: 11:52:36, time: 0.520, data_time: 0.010, memory: 42999, loss_cls: 8.8350, losses_bboxes: 0.5074, loss: 9.3423 2022-11-02 16:15:27,275 - mmdet - INFO - Epoch [1][7150/7390] lr: 1.000e-02, eta: 11:52:10, time: 0.524, data_time: 0.010, memory: 42999, loss_cls: 8.8321, losses_bboxes: 0.5068, loss: 9.3389 2022-11-02 16:15:53,475 - mmdet - INFO - Epoch [1][7200/7390] lr: 1.000e-02, eta: 11:51:43, time: 0.524, data_time: 0.008, memory: 42999, loss_cls: 8.8320, losses_bboxes: 0.5055, loss: 9.3374 2022-11-02 16:16:19,281 - mmdet - INFO - Epoch [1][7250/7390] lr: 1.000e-02, eta: 11:51:12, time: 0.514, data_time: 0.008, memory: 42999, loss_cls: 8.8342, losses_bboxes: 0.5052, loss: 9.3393 2022-11-02 16:16:45,355 - mmdet - INFO - Epoch [1][7300/7390] lr: 1.000e-02, eta: 11:50:44, time: 0.521, data_time: 0.010, memory: 42999, loss_cls: 8.8327, losses_bboxes: 0.5054, loss: 9.3381 2022-11-02 16:17:11,419 - mmdet - INFO - Epoch [1][7350/7390] lr: 1.000e-02, eta: 11:50:16, time: 0.521, data_time: 0.010, memory: 42999, loss_cls: 8.8333, losses_bboxes: 0.5055, loss: 9.3388 2022-11-02 16:17:32,360 - mmdet - INFO - Saving checkpoint at 1 epochs 2022-11-02 16:18:02,387 - mmdet - INFO - Epoch [2][50/7390] lr: 1.000e-02, eta: 11:46:08, time: 0.576, data_time: 0.068, memory: 42999, loss_cls: 8.8310, losses_bboxes: 0.5047, loss: 9.3357 2022-11-02 16:18:28,767 - mmdet - INFO - Epoch [2][100/7390] lr: 1.000e-02, eta: 11:45:46, time: 0.528, data_time: 0.010, memory: 42999, loss_cls: 8.8381, losses_bboxes: 0.5032, loss: 9.3412 2022-11-02 16:18:55,053 - mmdet - INFO - Epoch [2][150/7390] lr: 1.000e-02, eta: 11:45:23, time: 0.527, data_time: 0.009, memory: 42999, loss_cls: 8.8318, losses_bboxes: 0.5066, loss: 9.3383 2022-11-02 16:19:20,773 - mmdet - INFO - Epoch [2][200/7390] lr: 1.000e-02, eta: 11:44:52, time: 0.513, data_time: 0.008, memory: 42999, loss_cls: 8.8283, losses_bboxes: 0.5055, loss: 9.3338 2022-11-02 16:19:46,749 - mmdet - INFO - Epoch [2][250/7390] lr: 1.000e-02, eta: 11:44:25, time: 0.520, data_time: 0.010, memory: 42999, loss_cls: 8.8345, losses_bboxes: 0.5048, loss: 9.3393 2022-11-02 16:20:12,567 - mmdet - INFO - Epoch [2][300/7390] lr: 1.000e-02, eta: 11:43:56, time: 0.517, data_time: 0.009, memory: 42999, loss_cls: 8.8346, losses_bboxes: 0.5058, loss: 9.3404 2022-11-02 16:20:39,123 - mmdet - INFO - Epoch [2][350/7390] lr: 1.000e-02, eta: 11:43:36, time: 0.533, data_time: 0.009, memory: 42999, loss_cls: 8.8324, losses_bboxes: 0.5050, loss: 9.3375 2022-11-02 16:21:05,129 - mmdet - INFO - Epoch [2][400/7390] lr: 1.000e-02, eta: 11:43:09, time: 0.520, data_time: 0.008, memory: 42999, loss_cls: 8.8339, losses_bboxes: 0.5033, loss: 9.3371 2022-11-02 16:21:31,201 - mmdet - INFO - Epoch [2][450/7390] lr: 1.000e-02, eta: 11:42:43, time: 0.521, data_time: 0.008, memory: 42999, loss_cls: 8.8358, losses_bboxes: 0.5042, loss: 9.3400 2022-11-02 16:21:57,255 - mmdet - INFO - Epoch [2][500/7390] lr: 1.000e-02, eta: 11:42:17, time: 0.522, data_time: 0.008, memory: 42999, loss_cls: 8.8354, losses_bboxes: 0.5051, loss: 9.3405 2022-11-02 16:22:23,570 - mmdet - INFO - Epoch [2][550/7390] lr: 1.000e-02, eta: 11:41:52, time: 0.525, data_time: 0.008, memory: 42999, loss_cls: 8.8373, losses_bboxes: 0.5040, loss: 9.3413 2022-11-02 16:22:49,432 - mmdet - INFO - Epoch [2][600/7390] lr: 1.000e-02, eta: 11:41:24, time: 0.517, data_time: 0.009, memory: 42999, loss_cls: 8.8327, losses_bboxes: 0.5039, loss: 9.3366 2022-11-02 16:23:15,175 - mmdet - INFO - Epoch [2][650/7390] lr: 1.000e-02, eta: 11:40:55, time: 0.515, data_time: 0.009, memory: 42999, loss_cls: 8.8341, losses_bboxes: 0.5039, loss: 9.3381 2022-11-02 16:23:41,281 - mmdet - INFO - Epoch [2][700/7390] lr: 1.000e-02, eta: 11:40:28, time: 0.521, data_time: 0.009, memory: 42999, loss_cls: 8.8321, losses_bboxes: 0.5027, loss: 9.3348 2022-11-02 16:24:07,244 - mmdet - INFO - Epoch [2][750/7390] lr: 1.000e-02, eta: 11:40:02, time: 0.521, data_time: 0.009, memory: 42999, loss_cls: 8.8332, losses_bboxes: 0.5033, loss: 9.3365 2022-11-02 16:24:33,192 - mmdet - INFO - Epoch [2][800/7390] lr: 1.000e-02, eta: 11:39:35, time: 0.518, data_time: 0.008, memory: 42999, loss_cls: 8.8323, losses_bboxes: 0.5043, loss: 9.3366 2022-11-02 16:24:58,778 - mmdet - INFO - Epoch [2][850/7390] lr: 1.000e-02, eta: 11:39:04, time: 0.512, data_time: 0.008, memory: 42999, loss_cls: 8.8338, losses_bboxes: 0.5028, loss: 9.3366 2022-11-02 16:25:24,663 - mmdet - INFO - Epoch [2][900/7390] lr: 1.000e-02, eta: 11:38:36, time: 0.517, data_time: 0.008, memory: 42999, loss_cls: 8.8329, losses_bboxes: 0.5022, loss: 9.3351 2022-11-02 16:25:50,267 - mmdet - INFO - Epoch [2][950/7390] lr: 1.000e-02, eta: 11:38:05, time: 0.512, data_time: 0.008, memory: 42999, loss_cls: 8.8330, losses_bboxes: 0.5027, loss: 9.3357 2022-11-02 16:26:16,701 - mmdet - INFO - Epoch [2][1000/7390] lr: 1.000e-02, eta: 11:37:43, time: 0.529, data_time: 0.009, memory: 42999, loss_cls: 8.8347, losses_bboxes: 0.5034, loss: 9.3381 2022-11-02 16:26:42,888 - mmdet - INFO - Epoch [2][1050/7390] lr: 1.000e-02, eta: 11:37:18, time: 0.524, data_time: 0.008, memory: 42999, loss_cls: 8.8319, losses_bboxes: 0.5020, loss: 9.3339 2022-11-02 16:27:09,247 - mmdet - INFO - Epoch [2][1100/7390] lr: 1.000e-02, eta: 11:36:54, time: 0.526, data_time: 0.008, memory: 42999, loss_cls: 8.8383, losses_bboxes: 0.5024, loss: 9.3406 2022-11-02 16:27:35,273 - mmdet - INFO - Epoch [2][1150/7390] lr: 1.000e-02, eta: 11:36:28, time: 0.522, data_time: 0.010, memory: 42999, loss_cls: 8.8380, losses_bboxes: 0.5028, loss: 9.3408 2022-11-02 16:28:00,841 - mmdet - INFO - Epoch [2][1200/7390] lr: 1.000e-02, eta: 11:35:57, time: 0.510, data_time: 0.008, memory: 42999, loss_cls: 8.8325, losses_bboxes: 0.5021, loss: 9.3346 2022-11-02 16:28:26,401 - mmdet - INFO - Epoch [2][1250/7390] lr: 1.000e-02, eta: 11:35:27, time: 0.513, data_time: 0.009, memory: 42999, loss_cls: 8.8356, losses_bboxes: 0.5032, loss: 9.3389 2022-11-02 16:28:52,453 - mmdet - INFO - Epoch [2][1300/7390] lr: 1.000e-02, eta: 11:35:00, time: 0.521, data_time: 0.008, memory: 42999, loss_cls: 8.8342, losses_bboxes: 0.5032, loss: 9.3373 2022-11-02 16:29:18,464 - mmdet - INFO - Epoch [2][1350/7390] lr: 1.000e-02, eta: 11:34:34, time: 0.520, data_time: 0.008, memory: 42999, loss_cls: 8.8309, losses_bboxes: 0.5020, loss: 9.3329 2022-11-02 16:29:44,180 - mmdet - INFO - Epoch [2][1400/7390] lr: 1.000e-02, eta: 11:34:05, time: 0.515, data_time: 0.008, memory: 42999, loss_cls: 8.8373, losses_bboxes: 0.5008, loss: 9.3381 2022-11-02 16:30:10,035 - mmdet - INFO - Epoch [2][1450/7390] lr: 1.000e-02, eta: 11:33:36, time: 0.516, data_time: 0.008, memory: 42999, loss_cls: 8.8314, losses_bboxes: 0.5041, loss: 9.3354 2022-11-02 16:30:36,015 - mmdet - INFO - Epoch [2][1500/7390] lr: 1.000e-02, eta: 11:33:09, time: 0.520, data_time: 0.009, memory: 42999, loss_cls: 8.8336, losses_bboxes: 0.5003, loss: 9.3339 2022-11-02 16:31:01,979 - mmdet - INFO - Epoch [2][1550/7390] lr: 1.000e-02, eta: 11:32:43, time: 0.520, data_time: 0.009, memory: 42999, loss_cls: 8.8355, losses_bboxes: 0.5014, loss: 9.3370 2022-11-02 16:31:28,363 - mmdet - INFO - Epoch [2][1600/7390] lr: 1.000e-02, eta: 11:32:19, time: 0.525, data_time: 0.008, memory: 42999, loss_cls: 8.8349, losses_bboxes: 0.5029, loss: 9.3379 2022-11-02 16:31:54,055 - mmdet - INFO - Epoch [2][1650/7390] lr: 1.000e-02, eta: 11:31:50, time: 0.515, data_time: 0.010, memory: 42999, loss_cls: 8.8321, losses_bboxes: 0.5010, loss: 9.3331 2022-11-02 16:32:19,894 - mmdet - INFO - Epoch [2][1700/7390] lr: 1.000e-02, eta: 11:31:22, time: 0.516, data_time: 0.009, memory: 42999, loss_cls: 8.8312, losses_bboxes: 0.5011, loss: 9.3323 2022-11-02 16:32:45,846 - mmdet - INFO - Epoch [2][1750/7390] lr: 1.000e-02, eta: 11:30:55, time: 0.520, data_time: 0.009, memory: 42999, loss_cls: 8.8348, losses_bboxes: 0.5010, loss: 9.3357 2022-11-02 16:33:11,667 - mmdet - INFO - Epoch [2][1800/7390] lr: 1.000e-02, eta: 11:30:27, time: 0.517, data_time: 0.009, memory: 42999, loss_cls: 8.8370, losses_bboxes: 0.5021, loss: 9.3391 2022-11-02 16:33:37,516 - mmdet - INFO - Epoch [2][1850/7390] lr: 1.000e-02, eta: 11:29:58, time: 0.515, data_time: 0.008, memory: 42999, loss_cls: 8.8356, losses_bboxes: 0.5016, loss: 9.3373 2022-11-02 16:34:03,792 - mmdet - INFO - Epoch [2][1900/7390] lr: 1.000e-02, eta: 11:29:34, time: 0.526, data_time: 0.011, memory: 42999, loss_cls: 8.8346, losses_bboxes: 0.5009, loss: 9.3355 2022-11-02 16:34:29,537 - mmdet - INFO - Epoch [2][1950/7390] lr: 1.000e-02, eta: 11:29:06, time: 0.517, data_time: 0.010, memory: 42999, loss_cls: 8.8311, losses_bboxes: 0.5012, loss: 9.3324 2022-11-02 16:34:55,839 - mmdet - INFO - Epoch [2][2000/7390] lr: 1.000e-02, eta: 11:28:42, time: 0.525, data_time: 0.007, memory: 42999, loss_cls: 8.8325, losses_bboxes: 0.5000, loss: 9.3325 2022-11-02 16:35:21,758 - mmdet - INFO - Epoch [2][2050/7390] lr: 1.000e-02, eta: 11:28:14, time: 0.518, data_time: 0.009, memory: 42999, loss_cls: 8.8313, losses_bboxes: 0.5013, loss: 9.3326 2022-11-02 16:35:48,078 - mmdet - INFO - Epoch [2][2100/7390] lr: 1.000e-02, eta: 11:27:51, time: 0.527, data_time: 0.009, memory: 42999, loss_cls: 8.8337, losses_bboxes: 0.5017, loss: 9.3353 2022-11-02 16:36:13,542 - mmdet - INFO - Epoch [2][2150/7390] lr: 1.000e-02, eta: 11:27:20, time: 0.509, data_time: 0.008, memory: 42999, loss_cls: 8.8344, losses_bboxes: 0.5006, loss: 9.3350 2022-11-02 16:36:39,775 - mmdet - INFO - Epoch [2][2200/7390] lr: 1.000e-02, eta: 11:26:55, time: 0.524, data_time: 0.008, memory: 42999, loss_cls: 8.8366, losses_bboxes: 0.5011, loss: 9.3378 2022-11-02 16:37:06,029 - mmdet - INFO - Epoch [2][2250/7390] lr: 1.000e-02, eta: 11:26:31, time: 0.525, data_time: 0.009, memory: 42999, loss_cls: 8.8354, losses_bboxes: 0.5002, loss: 9.3355 2022-11-02 16:37:32,583 - mmdet - INFO - Epoch [2][2300/7390] lr: 1.000e-02, eta: 11:26:09, time: 0.531, data_time: 0.009, memory: 42999, loss_cls: 8.8369, losses_bboxes: 0.5008, loss: 9.3377 2022-11-02 16:37:58,308 - mmdet - INFO - Epoch [2][2350/7390] lr: 1.000e-02, eta: 11:25:40, time: 0.515, data_time: 0.009, memory: 42999, loss_cls: 8.8390, losses_bboxes: 0.5007, loss: 9.3397 2022-11-02 16:38:24,344 - mmdet - INFO - Epoch [2][2400/7390] lr: 1.000e-02, eta: 11:25:14, time: 0.520, data_time: 0.008, memory: 42999, loss_cls: 8.8317, losses_bboxes: 0.5005, loss: 9.3321 2022-11-02 16:38:50,394 - mmdet - INFO - Epoch [2][2450/7390] lr: 1.000e-02, eta: 11:24:48, time: 0.521, data_time: 0.009, memory: 42999, loss_cls: 8.8350, losses_bboxes: 0.5002, loss: 9.3352 2022-11-02 16:39:16,645 - mmdet - INFO - Epoch [2][2500/7390] lr: 1.000e-02, eta: 11:24:23, time: 0.523, data_time: 0.008, memory: 42999, loss_cls: 8.8316, losses_bboxes: 0.4976, loss: 9.3292 2022-11-02 16:39:42,739 - mmdet - INFO - Epoch [2][2550/7390] lr: 1.000e-02, eta: 11:23:57, time: 0.523, data_time: 0.010, memory: 42999, loss_cls: 8.8366, losses_bboxes: 0.5001, loss: 9.3367 2022-11-02 16:40:08,801 - mmdet - INFO - Epoch [2][2600/7390] lr: 1.000e-02, eta: 11:23:31, time: 0.521, data_time: 0.009, memory: 42999, loss_cls: 8.8373, losses_bboxes: 0.4985, loss: 9.3358 2022-11-02 16:40:35,064 - mmdet - INFO - Epoch [2][2650/7390] lr: 1.000e-02, eta: 11:23:07, time: 0.527, data_time: 0.009, memory: 42999, loss_cls: 8.8314, losses_bboxes: 0.4986, loss: 9.3300 2022-11-02 16:41:01,330 - mmdet - INFO - Epoch [2][2700/7390] lr: 1.000e-02, eta: 11:22:42, time: 0.523, data_time: 0.008, memory: 42999, loss_cls: 8.8341, losses_bboxes: 0.4985, loss: 9.3326 2022-11-02 16:41:27,425 - mmdet - INFO - Epoch [2][2750/7390] lr: 1.000e-02, eta: 11:22:17, time: 0.523, data_time: 0.010, memory: 42999, loss_cls: 8.8327, losses_bboxes: 0.5002, loss: 9.3329 2022-11-02 16:41:53,064 - mmdet - INFO - Epoch [2][2800/7390] lr: 1.000e-02, eta: 11:21:47, time: 0.513, data_time: 0.009, memory: 42999, loss_cls: 8.8332, losses_bboxes: 0.5001, loss: 9.3333 2022-11-02 16:42:19,018 - mmdet - INFO - Epoch [2][2850/7390] lr: 1.000e-02, eta: 11:21:20, time: 0.518, data_time: 0.008, memory: 42999, loss_cls: 8.8363, losses_bboxes: 0.4991, loss: 9.3355 2022-11-02 16:42:45,142 - mmdet - INFO - Epoch [2][2900/7390] lr: 1.000e-02, eta: 11:20:55, time: 0.524, data_time: 0.009, memory: 42999, loss_cls: 8.8349, losses_bboxes: 0.4992, loss: 9.3341 2022-11-02 16:43:11,342 - mmdet - INFO - Epoch [2][2950/7390] lr: 1.000e-02, eta: 11:20:30, time: 0.524, data_time: 0.008, memory: 42999, loss_cls: 8.8320, losses_bboxes: 0.4975, loss: 9.3295 2022-11-02 16:43:37,098 - mmdet - INFO - Epoch [2][3000/7390] lr: 1.000e-02, eta: 11:20:02, time: 0.514, data_time: 0.008, memory: 42999, loss_cls: 8.8360, losses_bboxes: 0.4995, loss: 9.3356 2022-11-02 16:44:02,871 - mmdet - INFO - Epoch [2][3050/7390] lr: 1.000e-02, eta: 11:19:34, time: 0.516, data_time: 0.008, memory: 42999, loss_cls: 8.8358, losses_bboxes: 0.4988, loss: 9.3346 2022-11-02 16:44:28,869 - mmdet - INFO - Epoch [2][3100/7390] lr: 1.000e-02, eta: 11:19:07, time: 0.519, data_time: 0.008, memory: 42999, loss_cls: 8.8354, losses_bboxes: 0.4988, loss: 9.3343 2022-11-02 16:44:54,575 - mmdet - INFO - Epoch [2][3150/7390] lr: 1.000e-02, eta: 11:18:39, time: 0.515, data_time: 0.009, memory: 42999, loss_cls: 8.8340, losses_bboxes: 0.4990, loss: 9.3330 2022-11-02 16:45:20,720 - mmdet - INFO - Epoch [2][3200/7390] lr: 1.000e-02, eta: 11:18:13, time: 0.521, data_time: 0.008, memory: 42999, loss_cls: 8.8345, losses_bboxes: 0.4982, loss: 9.3327 2022-11-02 16:45:46,992 - mmdet - INFO - Epoch [2][3250/7390] lr: 1.000e-02, eta: 11:17:48, time: 0.524, data_time: 0.009, memory: 42999, loss_cls: 8.8348, losses_bboxes: 0.4994, loss: 9.3342 2022-11-02 16:46:12,979 - mmdet - INFO - Epoch [2][3300/7390] lr: 1.000e-02, eta: 11:17:22, time: 0.521, data_time: 0.010, memory: 42999, loss_cls: 8.8334, losses_bboxes: 0.4986, loss: 9.3320 2022-11-02 16:46:38,855 - mmdet - INFO - Epoch [2][3350/7390] lr: 1.000e-02, eta: 11:16:54, time: 0.516, data_time: 0.009, memory: 42999, loss_cls: 8.8315, losses_bboxes: 0.4990, loss: 9.3305 2022-11-02 16:47:04,954 - mmdet - INFO - Epoch [2][3400/7390] lr: 1.000e-02, eta: 11:16:28, time: 0.521, data_time: 0.009, memory: 42999, loss_cls: 8.8324, losses_bboxes: 0.4992, loss: 9.3316 2022-11-02 16:47:31,399 - mmdet - INFO - Epoch [2][3450/7390] lr: 1.000e-02, eta: 11:16:05, time: 0.530, data_time: 0.011, memory: 42999, loss_cls: 8.8374, losses_bboxes: 0.4982, loss: 9.3356 2022-11-02 16:47:57,524 - mmdet - INFO - Epoch [2][3500/7390] lr: 1.000e-02, eta: 11:15:39, time: 0.521, data_time: 0.009, memory: 42999, loss_cls: 8.8339, losses_bboxes: 0.4980, loss: 9.3319 2022-11-02 16:48:23,262 - mmdet - INFO - Epoch [2][3550/7390] lr: 1.000e-02, eta: 11:15:12, time: 0.517, data_time: 0.010, memory: 42999, loss_cls: 8.8321, losses_bboxes: 0.4966, loss: 9.3287 2022-11-02 16:48:49,358 - mmdet - INFO - Epoch [2][3600/7390] lr: 1.000e-02, eta: 11:14:45, time: 0.519, data_time: 0.008, memory: 42999, loss_cls: 8.8335, losses_bboxes: 0.4974, loss: 9.3310 2022-11-02 16:49:15,439 - mmdet - INFO - Epoch [2][3650/7390] lr: 1.000e-02, eta: 11:14:20, time: 0.525, data_time: 0.011, memory: 42999, loss_cls: 8.8323, losses_bboxes: 0.4962, loss: 9.3285 2022-11-02 16:49:41,613 - mmdet - INFO - Epoch [2][3700/7390] lr: 1.000e-02, eta: 11:13:55, time: 0.522, data_time: 0.007, memory: 42999, loss_cls: 8.8326, losses_bboxes: 0.4967, loss: 9.3293 2022-11-02 16:50:07,689 - mmdet - INFO - Epoch [2][3750/7390] lr: 1.000e-02, eta: 11:13:28, time: 0.520, data_time: 0.009, memory: 42999, loss_cls: 8.8317, losses_bboxes: 0.4973, loss: 9.3290 2022-11-02 16:50:33,749 - mmdet - INFO - Epoch [2][3800/7390] lr: 1.000e-02, eta: 11:13:02, time: 0.522, data_time: 0.010, memory: 42999, loss_cls: 8.8348, losses_bboxes: 0.4996, loss: 9.3344 2022-11-02 16:50:59,567 - mmdet - INFO - Epoch [2][3850/7390] lr: 1.000e-02, eta: 11:12:35, time: 0.517, data_time: 0.009, memory: 42999, loss_cls: 8.8346, losses_bboxes: 0.4971, loss: 9.3316 2022-11-02 16:51:25,581 - mmdet - INFO - Epoch [2][3900/7390] lr: 1.000e-02, eta: 11:12:09, time: 0.521, data_time: 0.009, memory: 42999, loss_cls: 8.8348, losses_bboxes: 0.4981, loss: 9.3329 2022-11-02 16:51:51,690 - mmdet - INFO - Epoch [2][3950/7390] lr: 1.000e-02, eta: 11:11:43, time: 0.521, data_time: 0.007, memory: 42999, loss_cls: 8.8348, losses_bboxes: 0.4974, loss: 9.3322 2022-11-02 16:52:17,794 - mmdet - INFO - Epoch [2][4000/7390] lr: 1.000e-02, eta: 11:11:18, time: 0.523, data_time: 0.009, memory: 42999, loss_cls: 8.8338, losses_bboxes: 0.4976, loss: 9.3314 2022-11-02 16:52:44,022 - mmdet - INFO - Epoch [2][4050/7390] lr: 1.000e-02, eta: 11:10:52, time: 0.523, data_time: 0.008, memory: 42999, loss_cls: 8.8362, losses_bboxes: 0.4971, loss: 9.3333 2022-11-02 16:53:09,995 - mmdet - INFO - Epoch [2][4100/7390] lr: 1.000e-02, eta: 11:10:26, time: 0.520, data_time: 0.009, memory: 42999, loss_cls: 8.8364, losses_bboxes: 0.4977, loss: 9.3342 2022-11-02 16:53:35,845 - mmdet - INFO - Epoch [2][4150/7390] lr: 1.000e-02, eta: 11:09:58, time: 0.517, data_time: 0.009, memory: 42999, loss_cls: 8.8318, losses_bboxes: 0.4958, loss: 9.3276 2022-11-02 16:54:01,735 - mmdet - INFO - Epoch [2][4200/7390] lr: 1.000e-02, eta: 11:09:31, time: 0.518, data_time: 0.009, memory: 42999, loss_cls: 8.8331, losses_bboxes: 0.4973, loss: 9.3304 2022-11-02 16:54:27,537 - mmdet - INFO - Epoch [2][4250/7390] lr: 1.000e-02, eta: 11:09:04, time: 0.516, data_time: 0.009, memory: 42999, loss_cls: 8.8303, losses_bboxes: 0.4960, loss: 9.3263 2022-11-02 16:54:52,996 - mmdet - INFO - Epoch [2][4300/7390] lr: 1.000e-02, eta: 11:08:33, time: 0.508, data_time: 0.008, memory: 42999, loss_cls: 8.8378, losses_bboxes: 0.4966, loss: 9.3344 2022-11-02 16:55:18,969 - mmdet - INFO - Epoch [2][4350/7390] lr: 1.000e-02, eta: 11:08:07, time: 0.521, data_time: 0.009, memory: 42999, loss_cls: 8.8358, losses_bboxes: 0.4969, loss: 9.3326 2022-11-02 16:55:45,101 - mmdet - INFO - Epoch [2][4400/7390] lr: 1.000e-02, eta: 11:07:41, time: 0.522, data_time: 0.008, memory: 42999, loss_cls: 8.8347, losses_bboxes: 0.4982, loss: 9.3330 2022-11-02 16:56:10,607 - mmdet - INFO - Epoch [2][4450/7390] lr: 1.000e-02, eta: 11:07:12, time: 0.512, data_time: 0.010, memory: 42999, loss_cls: 8.8333, losses_bboxes: 0.4968, loss: 9.3301 2022-11-02 16:56:36,593 - mmdet - INFO - Epoch [2][4500/7390] lr: 1.000e-02, eta: 11:06:46, time: 0.520, data_time: 0.008, memory: 42999, loss_cls: 8.8362, losses_bboxes: 0.4970, loss: 9.3333 2022-11-02 16:57:02,613 - mmdet - INFO - Epoch [2][4550/7390] lr: 1.000e-02, eta: 11:06:19, time: 0.520, data_time: 0.008, memory: 42999, loss_cls: 8.8350, losses_bboxes: 0.4966, loss: 9.3317 2022-11-02 16:57:28,671 - mmdet - INFO - Epoch [2][4600/7390] lr: 1.000e-02, eta: 11:05:53, time: 0.520, data_time: 0.008, memory: 42999, loss_cls: 8.8336, losses_bboxes: 0.4978, loss: 9.3314 2022-11-02 16:57:55,142 - mmdet - INFO - Epoch [2][4650/7390] lr: 1.000e-02, eta: 11:05:30, time: 0.530, data_time: 0.009, memory: 42999, loss_cls: 8.8290, losses_bboxes: 0.4955, loss: 9.3246 2022-11-02 16:58:21,027 - mmdet - INFO - Epoch [2][4700/7390] lr: 1.000e-02, eta: 11:05:03, time: 0.519, data_time: 0.009, memory: 42999, loss_cls: 8.8373, losses_bboxes: 0.4960, loss: 9.3333 2022-11-02 16:58:47,305 - mmdet - INFO - Epoch [2][4750/7390] lr: 1.000e-02, eta: 11:04:38, time: 0.524, data_time: 0.008, memory: 42999, loss_cls: 8.8342, losses_bboxes: 0.4952, loss: 9.3294 2022-11-02 16:59:13,484 - mmdet - INFO - Epoch [2][4800/7390] lr: 1.000e-02, eta: 11:04:13, time: 0.525, data_time: 0.009, memory: 42999, loss_cls: 8.8363, losses_bboxes: 0.4965, loss: 9.3329 2022-11-02 16:59:39,563 - mmdet - INFO - Epoch [2][4850/7390] lr: 1.000e-02, eta: 11:03:47, time: 0.520, data_time: 0.008, memory: 42999, loss_cls: 8.8338, losses_bboxes: 0.4966, loss: 9.3305 2022-11-02 17:00:05,337 - mmdet - INFO - Epoch [2][4900/7390] lr: 1.000e-02, eta: 11:03:19, time: 0.516, data_time: 0.009, memory: 42999, loss_cls: 8.8341, losses_bboxes: 0.4959, loss: 9.3299 2022-11-02 17:00:31,767 - mmdet - INFO - Epoch [2][4950/7390] lr: 1.000e-02, eta: 11:02:55, time: 0.528, data_time: 0.008, memory: 42999, loss_cls: 8.8357, losses_bboxes: 0.4979, loss: 9.3336 2022-11-02 17:00:57,684 - mmdet - INFO - Epoch [2][5000/7390] lr: 1.000e-02, eta: 11:02:29, time: 0.519, data_time: 0.009, memory: 42999, loss_cls: 8.8346, losses_bboxes: 0.4950, loss: 9.3296 2022-11-02 17:01:23,786 - mmdet - INFO - Epoch [2][5050/7390] lr: 1.000e-02, eta: 11:02:02, time: 0.520, data_time: 0.008, memory: 42999, loss_cls: 8.8332, losses_bboxes: 0.4963, loss: 9.3296 2022-11-02 17:01:50,018 - mmdet - INFO - Epoch [2][5100/7390] lr: 1.000e-02, eta: 11:01:37, time: 0.525, data_time: 0.010, memory: 42999, loss_cls: 8.8355, losses_bboxes: 0.4969, loss: 9.3324 2022-11-02 17:02:15,752 - mmdet - INFO - Epoch [2][5150/7390] lr: 1.000e-02, eta: 11:01:10, time: 0.516, data_time: 0.010, memory: 42999, loss_cls: 8.8319, losses_bboxes: 0.4964, loss: 9.3283 2022-11-02 17:02:41,688 - mmdet - INFO - Epoch [2][5200/7390] lr: 1.000e-02, eta: 11:00:43, time: 0.519, data_time: 0.008, memory: 42999, loss_cls: 8.8321, losses_bboxes: 0.4961, loss: 9.3281 2022-11-02 17:03:07,289 - mmdet - INFO - Epoch [2][5250/7390] lr: 1.000e-02, eta: 11:00:14, time: 0.512, data_time: 0.008, memory: 42999, loss_cls: 8.8365, losses_bboxes: 0.4957, loss: 9.3322 2022-11-02 17:03:33,462 - mmdet - INFO - Epoch [2][5300/7390] lr: 1.000e-02, eta: 10:59:49, time: 0.524, data_time: 0.008, memory: 42999, loss_cls: 8.8334, losses_bboxes: 0.4969, loss: 9.3303 2022-11-02 17:03:59,548 - mmdet - INFO - Epoch [2][5350/7390] lr: 1.000e-02, eta: 10:59:23, time: 0.521, data_time: 0.008, memory: 42999, loss_cls: 8.8325, losses_bboxes: 0.4968, loss: 9.3293 2022-11-02 17:04:25,737 - mmdet - INFO - Epoch [2][5400/7390] lr: 1.000e-02, eta: 10:58:58, time: 0.523, data_time: 0.008, memory: 42999, loss_cls: 8.8372, losses_bboxes: 0.4959, loss: 9.3331 2022-11-02 17:04:51,756 - mmdet - INFO - Epoch [2][5450/7390] lr: 1.000e-02, eta: 10:58:32, time: 0.522, data_time: 0.009, memory: 42999, loss_cls: 8.8339, losses_bboxes: 0.4942, loss: 9.3281 2022-11-02 17:05:18,266 - mmdet - INFO - Epoch [2][5500/7390] lr: 1.000e-02, eta: 10:58:09, time: 0.530, data_time: 0.008, memory: 42999, loss_cls: 8.8367, losses_bboxes: 0.4960, loss: 9.3327 2022-11-02 17:05:44,650 - mmdet - INFO - Epoch [2][5550/7390] lr: 1.000e-02, eta: 10:57:45, time: 0.528, data_time: 0.008, memory: 42999, loss_cls: 8.8321, losses_bboxes: 0.4951, loss: 9.3273 2022-11-02 17:06:10,553 - mmdet - INFO - Epoch [2][5600/7390] lr: 1.000e-02, eta: 10:57:17, time: 0.518, data_time: 0.008, memory: 42999, loss_cls: 8.8387, losses_bboxes: 0.4950, loss: 9.3337 2022-11-02 17:06:36,825 - mmdet - INFO - Epoch [2][5650/7390] lr: 1.000e-02, eta: 10:56:52, time: 0.523, data_time: 0.008, memory: 42999, loss_cls: 8.8345, losses_bboxes: 0.4949, loss: 9.3294 2022-11-02 17:07:03,348 - mmdet - INFO - Epoch [2][5700/7390] lr: 1.000e-02, eta: 10:56:29, time: 0.532, data_time: 0.010, memory: 42999, loss_cls: 8.8371, losses_bboxes: 0.4950, loss: 9.3320 2022-11-02 17:07:29,309 - mmdet - INFO - Epoch [2][5750/7390] lr: 1.000e-02, eta: 10:56:02, time: 0.518, data_time: 0.009, memory: 42999, loss_cls: 8.8312, losses_bboxes: 0.4943, loss: 9.3255 2022-11-02 17:07:55,404 - mmdet - INFO - Epoch [2][5800/7390] lr: 1.000e-02, eta: 10:55:37, time: 0.522, data_time: 0.009, memory: 42999, loss_cls: 8.8330, losses_bboxes: 0.4953, loss: 9.3283 2022-11-02 17:08:21,299 - mmdet - INFO - Epoch [2][5850/7390] lr: 1.000e-02, eta: 10:55:10, time: 0.518, data_time: 0.009, memory: 42999, loss_cls: 8.8328, losses_bboxes: 0.4958, loss: 9.3286 2022-11-02 17:08:47,349 - mmdet - INFO - Epoch [2][5900/7390] lr: 1.000e-02, eta: 10:54:44, time: 0.522, data_time: 0.010, memory: 42999, loss_cls: 8.8345, losses_bboxes: 0.4942, loss: 9.3287 2022-11-02 17:09:13,649 - mmdet - INFO - Epoch [2][5950/7390] lr: 1.000e-02, eta: 10:54:19, time: 0.525, data_time: 0.008, memory: 42999, loss_cls: 8.8360, losses_bboxes: 0.4953, loss: 9.3313 2022-11-02 17:09:39,677 - mmdet - INFO - Epoch [2][6000/7390] lr: 1.000e-02, eta: 10:53:53, time: 0.521, data_time: 0.009, memory: 42999, loss_cls: 8.8363, losses_bboxes: 0.4946, loss: 9.3309 2022-11-02 17:10:05,017 - mmdet - INFO - Epoch [2][6050/7390] lr: 1.000e-02, eta: 10:53:23, time: 0.507, data_time: 0.009, memory: 42999, loss_cls: 8.8331, losses_bboxes: 0.4941, loss: 9.3272 2022-11-02 17:10:31,248 - mmdet - INFO - Epoch [2][6100/7390] lr: 1.000e-02, eta: 10:52:58, time: 0.525, data_time: 0.009, memory: 42999, loss_cls: 8.8368, losses_bboxes: 0.4938, loss: 9.3306 2022-11-02 17:10:57,637 - mmdet - INFO - Epoch [2][6150/7390] lr: 1.000e-02, eta: 10:52:34, time: 0.528, data_time: 0.008, memory: 42999, loss_cls: 8.8332, losses_bboxes: 0.4944, loss: 9.3277 2022-11-02 17:11:23,406 - mmdet - INFO - Epoch [2][6200/7390] lr: 1.000e-02, eta: 10:52:06, time: 0.514, data_time: 0.008, memory: 42999, loss_cls: 8.8345, losses_bboxes: 0.4944, loss: 9.3289 2022-11-02 17:11:49,718 - mmdet - INFO - Epoch [2][6250/7390] lr: 1.000e-02, eta: 10:51:41, time: 0.527, data_time: 0.009, memory: 42999, loss_cls: 8.8337, losses_bboxes: 0.4941, loss: 9.3278 2022-11-02 17:12:15,757 - mmdet - INFO - Epoch [2][6300/7390] lr: 1.000e-02, eta: 10:51:15, time: 0.520, data_time: 0.008, memory: 42999, loss_cls: 8.8384, losses_bboxes: 0.4952, loss: 9.3336 2022-11-02 17:12:41,879 - mmdet - INFO - Epoch [2][6350/7390] lr: 1.000e-02, eta: 10:50:50, time: 0.523, data_time: 0.009, memory: 42999, loss_cls: 8.8339, losses_bboxes: 0.4948, loss: 9.3288 2022-11-02 17:13:08,310 - mmdet - INFO - Epoch [2][6400/7390] lr: 1.000e-02, eta: 10:50:26, time: 0.529, data_time: 0.009, memory: 42999, loss_cls: 8.8367, losses_bboxes: 0.4951, loss: 9.3318 2022-11-02 17:13:34,572 - mmdet - INFO - Epoch [2][6450/7390] lr: 1.000e-02, eta: 10:50:01, time: 0.525, data_time: 0.008, memory: 42999, loss_cls: 8.8346, losses_bboxes: 0.4930, loss: 9.3276 2022-11-02 17:14:00,470 - mmdet - INFO - Epoch [2][6500/7390] lr: 1.000e-02, eta: 10:49:33, time: 0.516, data_time: 0.008, memory: 42999, loss_cls: 8.8356, losses_bboxes: 0.4929, loss: 9.3285 2022-11-02 17:14:27,072 - mmdet - INFO - Epoch [2][6550/7390] lr: 1.000e-02, eta: 10:49:11, time: 0.534, data_time: 0.010, memory: 42999, loss_cls: 8.8322, losses_bboxes: 0.4941, loss: 9.3264 2022-11-02 17:14:53,054 - mmdet - INFO - Epoch [2][6600/7390] lr: 1.000e-02, eta: 10:48:44, time: 0.519, data_time: 0.008, memory: 42999, loss_cls: 8.8316, losses_bboxes: 0.4936, loss: 9.3252 2022-11-02 17:15:18,785 - mmdet - INFO - Epoch [2][6650/7390] lr: 1.000e-02, eta: 10:48:16, time: 0.514, data_time: 0.008, memory: 42999, loss_cls: 8.8336, losses_bboxes: 0.4935, loss: 9.3270 2022-11-02 17:15:44,607 - mmdet - INFO - Epoch [2][6700/7390] lr: 1.000e-02, eta: 10:47:49, time: 0.517, data_time: 0.009, memory: 42999, loss_cls: 8.8389, losses_bboxes: 0.4933, loss: 9.3322 2022-11-02 17:16:11,084 - mmdet - INFO - Epoch [2][6750/7390] lr: 1.000e-02, eta: 10:47:25, time: 0.530, data_time: 0.009, memory: 42999, loss_cls: 8.8332, losses_bboxes: 0.4936, loss: 9.3268 2022-11-02 17:16:37,238 - mmdet - INFO - Epoch [2][6800/7390] lr: 1.000e-02, eta: 10:46:59, time: 0.520, data_time: 0.008, memory: 42999, loss_cls: 8.8367, losses_bboxes: 0.4960, loss: 9.3327 2022-11-02 17:17:02,984 - mmdet - INFO - Epoch [2][6850/7390] lr: 1.000e-02, eta: 10:46:32, time: 0.518, data_time: 0.011, memory: 42999, loss_cls: 8.8333, losses_bboxes: 0.4921, loss: 9.3254 2022-11-02 17:17:28,800 - mmdet - INFO - Epoch [2][6900/7390] lr: 1.000e-02, eta: 10:46:04, time: 0.515, data_time: 0.008, memory: 42999, loss_cls: 8.8371, losses_bboxes: 0.4937, loss: 9.3308 2022-11-02 17:17:54,686 - mmdet - INFO - Epoch [2][6950/7390] lr: 1.000e-02, eta: 10:45:38, time: 0.518, data_time: 0.009, memory: 42999, loss_cls: 8.8350, losses_bboxes: 0.4926, loss: 9.3276 2022-11-02 17:18:20,738 - mmdet - INFO - Epoch [2][7000/7390] lr: 1.000e-02, eta: 10:45:12, time: 0.522, data_time: 0.009, memory: 42999, loss_cls: 8.8347, losses_bboxes: 0.4926, loss: 9.3273 2022-11-02 17:18:47,323 - mmdet - INFO - Epoch [2][7050/7390] lr: 1.000e-02, eta: 10:44:48, time: 0.531, data_time: 0.009, memory: 42999, loss_cls: 8.8326, losses_bboxes: 0.4943, loss: 9.3269 2022-11-02 17:19:13,403 - mmdet - INFO - Epoch [2][7100/7390] lr: 1.000e-02, eta: 10:44:22, time: 0.522, data_time: 0.009, memory: 42999, loss_cls: 8.8326, losses_bboxes: 0.4942, loss: 9.3268 2022-11-02 17:19:39,202 - mmdet - INFO - Epoch [2][7150/7390] lr: 1.000e-02, eta: 10:43:55, time: 0.515, data_time: 0.009, memory: 42999, loss_cls: 8.8323, losses_bboxes: 0.4927, loss: 9.3250 2022-11-02 17:20:05,379 - mmdet - INFO - Epoch [2][7200/7390] lr: 1.000e-02, eta: 10:43:29, time: 0.523, data_time: 0.010, memory: 42999, loss_cls: 8.8368, losses_bboxes: 0.4936, loss: 9.3304 2022-11-02 17:20:31,997 - mmdet - INFO - Epoch [2][7250/7390] lr: 1.000e-02, eta: 10:43:06, time: 0.534, data_time: 0.011, memory: 42999, loss_cls: 8.8325, losses_bboxes: 0.4940, loss: 9.3265 2022-11-02 17:20:57,866 - mmdet - INFO - Epoch [2][7300/7390] lr: 1.000e-02, eta: 10:42:39, time: 0.518, data_time: 0.009, memory: 42999, loss_cls: 8.8362, losses_bboxes: 0.4920, loss: 9.3281 2022-11-02 17:21:23,840 - mmdet - INFO - Epoch [2][7350/7390] lr: 1.000e-02, eta: 10:42:13, time: 0.520, data_time: 0.008, memory: 42999, loss_cls: 8.8369, losses_bboxes: 0.4932, loss: 9.3301 2022-11-02 17:21:44,996 - mmdet - INFO - Saving checkpoint at 2 epochs 2022-11-02 17:22:14,848 - mmdet - INFO - Epoch [3][50/7390] lr: 1.000e-02, eta: 10:39:55, time: 0.574, data_time: 0.067, memory: 42999, loss_cls: 8.8342, losses_bboxes: 0.4919, loss: 9.3261 2022-11-02 17:22:40,558 - mmdet - INFO - Epoch [3][100/7390] lr: 1.000e-02, eta: 10:39:28, time: 0.516, data_time: 0.010, memory: 42999, loss_cls: 8.8319, losses_bboxes: 0.4925, loss: 9.3243 2022-11-02 17:23:06,508 - mmdet - INFO - Epoch [3][150/7390] lr: 1.000e-02, eta: 10:39:02, time: 0.519, data_time: 0.009, memory: 43003, loss_cls: 8.8330, losses_bboxes: 0.4930, loss: 9.3260 2022-11-02 17:23:32,669 - mmdet - INFO - Epoch [3][200/7390] lr: 1.000e-02, eta: 10:38:37, time: 0.523, data_time: 0.008, memory: 43003, loss_cls: 8.8337, losses_bboxes: 0.4922, loss: 9.3259 2022-11-02 17:23:58,404 - mmdet - INFO - Epoch [3][250/7390] lr: 1.000e-02, eta: 10:38:10, time: 0.515, data_time: 0.008, memory: 43003, loss_cls: 8.8344, losses_bboxes: 0.4925, loss: 9.3269 2022-11-02 17:24:24,395 - mmdet - INFO - Epoch [3][300/7390] lr: 1.000e-02, eta: 10:37:44, time: 0.520, data_time: 0.008, memory: 43003, loss_cls: 8.8322, losses_bboxes: 0.4928, loss: 9.3251 2022-11-02 17:24:50,180 - mmdet - INFO - Epoch [3][350/7390] lr: 1.000e-02, eta: 10:37:17, time: 0.515, data_time: 0.009, memory: 43003, loss_cls: 8.8343, losses_bboxes: 0.4907, loss: 9.3250 2022-11-02 17:25:16,438 - mmdet - INFO - Epoch [3][400/7390] lr: 1.000e-02, eta: 10:36:52, time: 0.525, data_time: 0.009, memory: 43003, loss_cls: 8.8376, losses_bboxes: 0.4928, loss: 9.3305 2022-11-02 17:25:42,932 - mmdet - INFO - Epoch [3][450/7390] lr: 1.000e-02, eta: 10:36:28, time: 0.531, data_time: 0.009, memory: 43003, loss_cls: 8.8348, losses_bboxes: 0.4921, loss: 9.3269 2022-11-02 17:26:09,177 - mmdet - INFO - Epoch [3][500/7390] lr: 1.000e-02, eta: 10:36:03, time: 0.524, data_time: 0.008, memory: 43003, loss_cls: 8.8318, losses_bboxes: 0.4944, loss: 9.3263 2022-11-02 17:26:35,353 - mmdet - INFO - Epoch [3][550/7390] lr: 1.000e-02, eta: 10:35:38, time: 0.524, data_time: 0.009, memory: 43003, loss_cls: 8.8337, losses_bboxes: 0.4923, loss: 9.3261 2022-11-02 17:27:00,975 - mmdet - INFO - Epoch [3][600/7390] lr: 1.000e-02, eta: 10:35:11, time: 0.513, data_time: 0.009, memory: 43003, loss_cls: 8.8307, losses_bboxes: 0.4928, loss: 9.3235 2022-11-02 17:27:26,881 - mmdet - INFO - Epoch [3][650/7390] lr: 1.000e-02, eta: 10:34:44, time: 0.519, data_time: 0.009, memory: 43003, loss_cls: 8.8328, losses_bboxes: 0.4913, loss: 9.3241 2022-11-02 17:27:52,866 - mmdet - INFO - Epoch [3][700/7390] lr: 1.000e-02, eta: 10:34:18, time: 0.519, data_time: 0.008, memory: 43003, loss_cls: 8.8339, losses_bboxes: 0.4911, loss: 9.3250 2022-11-02 17:28:18,683 - mmdet - INFO - Epoch [3][750/7390] lr: 1.000e-02, eta: 10:33:51, time: 0.515, data_time: 0.009, memory: 43003, loss_cls: 8.8326, losses_bboxes: 0.4927, loss: 9.3254 2022-11-02 17:28:44,663 - mmdet - INFO - Epoch [3][800/7390] lr: 1.000e-02, eta: 10:33:25, time: 0.522, data_time: 0.010, memory: 43003, loss_cls: 8.8343, losses_bboxes: 0.4914, loss: 9.3257 2022-11-02 17:29:10,222 - mmdet - INFO - Epoch [3][850/7390] lr: 1.000e-02, eta: 10:32:57, time: 0.510, data_time: 0.008, memory: 43003, loss_cls: 8.8337, losses_bboxes: 0.4927, loss: 9.3264 2022-11-02 17:29:36,059 - mmdet - INFO - Epoch [3][900/7390] lr: 1.000e-02, eta: 10:32:31, time: 0.518, data_time: 0.009, memory: 43003, loss_cls: 8.8344, losses_bboxes: 0.4908, loss: 9.3253 2022-11-02 17:30:02,313 - mmdet - INFO - Epoch [3][950/7390] lr: 1.000e-02, eta: 10:32:06, time: 0.524, data_time: 0.008, memory: 43003, loss_cls: 8.8324, losses_bboxes: 0.4929, loss: 9.3254 2022-11-02 17:30:27,866 - mmdet - INFO - Epoch [3][1000/7390] lr: 1.000e-02, eta: 10:31:38, time: 0.511, data_time: 0.009, memory: 43003, loss_cls: 8.8331, losses_bboxes: 0.4923, loss: 9.3253 2022-11-02 17:30:54,125 - mmdet - INFO - Epoch [3][1050/7390] lr: 1.000e-02, eta: 10:31:13, time: 0.524, data_time: 0.008, memory: 43003, loss_cls: 8.8338, losses_bboxes: 0.4931, loss: 9.3269 2022-11-02 17:31:19,824 - mmdet - INFO - Epoch [3][1100/7390] lr: 1.000e-02, eta: 10:30:46, time: 0.516, data_time: 0.010, memory: 43003, loss_cls: 8.8354, losses_bboxes: 0.4921, loss: 9.3275 2022-11-02 17:31:46,133 - mmdet - INFO - Epoch [3][1150/7390] lr: 1.000e-02, eta: 10:30:21, time: 0.527, data_time: 0.009, memory: 43003, loss_cls: 8.8336, losses_bboxes: 0.4938, loss: 9.3274 2022-11-02 17:32:12,230 - mmdet - INFO - Epoch [3][1200/7390] lr: 1.000e-02, eta: 10:29:56, time: 0.521, data_time: 0.008, memory: 43003, loss_cls: 8.8326, losses_bboxes: 0.4926, loss: 9.3252 2022-11-02 17:32:38,204 - mmdet - INFO - Epoch [3][1250/7390] lr: 1.000e-02, eta: 10:29:29, time: 0.519, data_time: 0.008, memory: 43003, loss_cls: 8.8311, losses_bboxes: 0.4909, loss: 9.3220 2022-11-02 17:33:04,488 - mmdet - INFO - Epoch [3][1300/7390] lr: 1.000e-02, eta: 10:29:05, time: 0.526, data_time: 0.009, memory: 43003, loss_cls: 8.8343, losses_bboxes: 0.4917, loss: 9.3260 2022-11-02 17:33:30,212 - mmdet - INFO - Epoch [3][1350/7390] lr: 1.000e-02, eta: 10:28:37, time: 0.515, data_time: 0.008, memory: 43003, loss_cls: 8.8369, losses_bboxes: 0.4921, loss: 9.3290 2022-11-02 17:33:56,499 - mmdet - INFO - Epoch [3][1400/7390] lr: 1.000e-02, eta: 10:28:13, time: 0.525, data_time: 0.008, memory: 43003, loss_cls: 8.8342, losses_bboxes: 0.4909, loss: 9.3251 2022-11-02 17:34:22,244 - mmdet - INFO - Epoch [3][1450/7390] lr: 1.000e-02, eta: 10:27:46, time: 0.516, data_time: 0.010, memory: 43003, loss_cls: 8.8339, losses_bboxes: 0.4925, loss: 9.3263 2022-11-02 17:34:48,847 - mmdet - INFO - Epoch [3][1500/7390] lr: 1.000e-02, eta: 10:27:23, time: 0.533, data_time: 0.008, memory: 43003, loss_cls: 8.8345, losses_bboxes: 0.4918, loss: 9.3263 2022-11-02 17:35:14,704 - mmdet - INFO - Epoch [3][1550/7390] lr: 1.000e-02, eta: 10:26:56, time: 0.517, data_time: 0.008, memory: 43003, loss_cls: 8.8296, losses_bboxes: 0.4905, loss: 9.3200 2022-11-02 17:35:41,251 - mmdet - INFO - Epoch [3][1600/7390] lr: 1.000e-02, eta: 10:26:32, time: 0.531, data_time: 0.008, memory: 43003, loss_cls: 8.8327, losses_bboxes: 0.4923, loss: 9.3250 2022-11-02 17:36:07,634 - mmdet - INFO - Epoch [3][1650/7390] lr: 1.000e-02, eta: 10:26:08, time: 0.526, data_time: 0.007, memory: 43003, loss_cls: 8.8340, losses_bboxes: 0.4906, loss: 9.3247 2022-11-02 17:36:33,612 - mmdet - INFO - Epoch [3][1700/7390] lr: 1.000e-02, eta: 10:25:42, time: 0.521, data_time: 0.009, memory: 43003, loss_cls: 8.8362, losses_bboxes: 0.4912, loss: 9.3274 2022-11-02 17:36:59,589 - mmdet - INFO - Epoch [3][1750/7390] lr: 1.000e-02, eta: 10:25:16, time: 0.520, data_time: 0.008, memory: 43003, loss_cls: 8.8347, losses_bboxes: 0.4915, loss: 9.3262 2022-11-02 17:37:25,219 - mmdet - INFO - Epoch [3][1800/7390] lr: 1.000e-02, eta: 10:24:48, time: 0.511, data_time: 0.007, memory: 43003, loss_cls: 8.8339, losses_bboxes: 0.4910, loss: 9.3249 2022-11-02 17:37:51,241 - mmdet - INFO - Epoch [3][1850/7390] lr: 1.000e-02, eta: 10:24:22, time: 0.522, data_time: 0.009, memory: 43003, loss_cls: 8.8358, losses_bboxes: 0.4897, loss: 9.3255 2022-11-02 17:38:17,124 - mmdet - INFO - Epoch [3][1900/7390] lr: 1.000e-02, eta: 10:23:56, time: 0.518, data_time: 0.008, memory: 43003, loss_cls: 8.8369, losses_bboxes: 0.4901, loss: 9.3270 2022-11-02 17:38:43,173 - mmdet - INFO - Epoch [3][1950/7390] lr: 1.000e-02, eta: 10:23:30, time: 0.520, data_time: 0.008, memory: 43003, loss_cls: 8.8379, losses_bboxes: 0.4913, loss: 9.3292 2022-11-02 17:39:09,154 - mmdet - INFO - Epoch [3][2000/7390] lr: 1.000e-02, eta: 10:23:04, time: 0.520, data_time: 0.009, memory: 43003, loss_cls: 8.8349, losses_bboxes: 0.4913, loss: 9.3263 2022-11-02 17:39:35,062 - mmdet - INFO - Epoch [3][2050/7390] lr: 1.000e-02, eta: 10:22:38, time: 0.519, data_time: 0.008, memory: 43003, loss_cls: 8.8330, losses_bboxes: 0.4906, loss: 9.3236 2022-11-02 17:40:00,872 - mmdet - INFO - Epoch [3][2100/7390] lr: 1.000e-02, eta: 10:22:11, time: 0.516, data_time: 0.008, memory: 43003, loss_cls: 8.8311, losses_bboxes: 0.4902, loss: 9.3213 2022-11-02 17:40:26,881 - mmdet - INFO - Epoch [3][2150/7390] lr: 1.000e-02, eta: 10:21:44, time: 0.519, data_time: 0.008, memory: 43003, loss_cls: 8.8352, losses_bboxes: 0.4902, loss: 9.3254 2022-11-02 17:40:52,781 - mmdet - INFO - Epoch [3][2200/7390] lr: 1.000e-02, eta: 10:21:19, time: 0.520, data_time: 0.010, memory: 43003, loss_cls: 8.8362, losses_bboxes: 0.4914, loss: 9.3277 2022-11-02 17:41:19,027 - mmdet - INFO - Epoch [3][2250/7390] lr: 1.000e-02, eta: 10:20:53, time: 0.523, data_time: 0.008, memory: 43003, loss_cls: 8.8331, losses_bboxes: 0.4894, loss: 9.3226 2022-11-02 17:41:45,307 - mmdet - INFO - Epoch [3][2300/7390] lr: 1.000e-02, eta: 10:20:28, time: 0.524, data_time: 0.009, memory: 43003, loss_cls: 8.8387, losses_bboxes: 0.4909, loss: 9.3295 2022-11-02 17:42:11,383 - mmdet - INFO - Epoch [3][2350/7390] lr: 1.000e-02, eta: 10:20:03, time: 0.524, data_time: 0.011, memory: 43003, loss_cls: 8.8337, losses_bboxes: 0.4906, loss: 9.3243 2022-11-02 17:42:37,314 - mmdet - INFO - Epoch [3][2400/7390] lr: 1.000e-02, eta: 10:19:37, time: 0.519, data_time: 0.009, memory: 43003, loss_cls: 8.8333, losses_bboxes: 0.4920, loss: 9.3253 2022-11-02 17:43:03,012 - mmdet - INFO - Epoch [3][2450/7390] lr: 1.000e-02, eta: 10:19:09, time: 0.511, data_time: 0.008, memory: 43003, loss_cls: 8.8329, losses_bboxes: 0.4890, loss: 9.3219 2022-11-02 17:43:29,462 - mmdet - INFO - Epoch [3][2500/7390] lr: 1.000e-02, eta: 10:18:45, time: 0.531, data_time: 0.011, memory: 43003, loss_cls: 8.8357, losses_bboxes: 0.4901, loss: 9.3258 2022-11-02 17:43:54,887 - mmdet - INFO - Epoch [3][2550/7390] lr: 1.000e-02, eta: 10:18:17, time: 0.510, data_time: 0.009, memory: 43003, loss_cls: 8.8347, losses_bboxes: 0.4901, loss: 9.3248 2022-11-02 17:44:21,386 - mmdet - INFO - Epoch [3][2600/7390] lr: 1.000e-02, eta: 10:17:53, time: 0.530, data_time: 0.007, memory: 43003, loss_cls: 8.8322, losses_bboxes: 0.4890, loss: 9.3212 2022-11-02 17:44:47,336 - mmdet - INFO - Epoch [3][2650/7390] lr: 1.000e-02, eta: 10:17:27, time: 0.517, data_time: 0.007, memory: 43003, loss_cls: 8.8350, losses_bboxes: 0.4905, loss: 9.3254 2022-11-02 17:45:13,618 - mmdet - INFO - Epoch [3][2700/7390] lr: 1.000e-02, eta: 10:17:02, time: 0.526, data_time: 0.009, memory: 43003, loss_cls: 8.8323, losses_bboxes: 0.4909, loss: 9.3232 2022-11-02 17:45:39,665 - mmdet - INFO - Epoch [3][2750/7390] lr: 1.000e-02, eta: 10:16:36, time: 0.522, data_time: 0.009, memory: 43003, loss_cls: 8.8347, losses_bboxes: 0.4897, loss: 9.3245 2022-11-02 17:46:05,434 - mmdet - INFO - Epoch [3][2800/7390] lr: 1.000e-02, eta: 10:16:09, time: 0.514, data_time: 0.008, memory: 43003, loss_cls: 8.8307, losses_bboxes: 0.4904, loss: 9.3211 2022-11-02 17:46:31,535 - mmdet - INFO - Epoch [3][2850/7390] lr: 1.000e-02, eta: 10:15:44, time: 0.524, data_time: 0.009, memory: 43003, loss_cls: 8.8350, losses_bboxes: 0.4897, loss: 9.3247 2022-11-02 17:46:57,627 - mmdet - INFO - Epoch [3][2900/7390] lr: 1.000e-02, eta: 10:15:18, time: 0.521, data_time: 0.007, memory: 43003, loss_cls: 8.8342, losses_bboxes: 0.4908, loss: 9.3250 2022-11-02 17:47:23,490 - mmdet - INFO - Epoch [3][2950/7390] lr: 1.000e-02, eta: 10:14:51, time: 0.515, data_time: 0.008, memory: 43003, loss_cls: 8.8341, losses_bboxes: 0.4903, loss: 9.3244 2022-11-02 17:47:49,953 - mmdet - INFO - Epoch [3][3000/7390] lr: 1.000e-02, eta: 10:14:27, time: 0.530, data_time: 0.010, memory: 43003, loss_cls: 8.8358, losses_bboxes: 0.4898, loss: 9.3256 2022-11-02 17:48:15,811 - mmdet - INFO - Epoch [3][3050/7390] lr: 1.000e-02, eta: 10:14:01, time: 0.518, data_time: 0.009, memory: 43003, loss_cls: 8.8307, losses_bboxes: 0.4907, loss: 9.3213 2022-11-02 17:48:41,742 - mmdet - INFO - Epoch [3][3100/7390] lr: 1.000e-02, eta: 10:13:34, time: 0.517, data_time: 0.007, memory: 43003, loss_cls: 8.8368, losses_bboxes: 0.4889, loss: 9.3257 2022-11-02 17:49:07,995 - mmdet - INFO - Epoch [3][3150/7390] lr: 1.000e-02, eta: 10:13:10, time: 0.526, data_time: 0.009, memory: 43003, loss_cls: 8.8343, losses_bboxes: 0.4910, loss: 9.3254 2022-11-02 17:49:34,047 - mmdet - INFO - Epoch [3][3200/7390] lr: 1.000e-02, eta: 10:12:43, time: 0.519, data_time: 0.008, memory: 43003, loss_cls: 8.8322, losses_bboxes: 0.4907, loss: 9.3229 2022-11-02 17:49:59,780 - mmdet - INFO - Epoch [3][3250/7390] lr: 1.000e-02, eta: 10:12:16, time: 0.515, data_time: 0.010, memory: 43003, loss_cls: 8.8343, losses_bboxes: 0.4911, loss: 9.3254 2022-11-02 17:50:25,426 - mmdet - INFO - Epoch [3][3300/7390] lr: 1.000e-02, eta: 10:11:49, time: 0.512, data_time: 0.009, memory: 43003, loss_cls: 8.8350, losses_bboxes: 0.4898, loss: 9.3248 2022-11-02 17:50:51,824 - mmdet - INFO - Epoch [3][3350/7390] lr: 1.000e-02, eta: 10:11:25, time: 0.530, data_time: 0.009, memory: 43003, loss_cls: 8.8365, losses_bboxes: 0.4899, loss: 9.3264 2022-11-02 17:51:17,562 - mmdet - INFO - Epoch [3][3400/7390] lr: 1.000e-02, eta: 10:10:58, time: 0.513, data_time: 0.008, memory: 43003, loss_cls: 8.8347, losses_bboxes: 0.4906, loss: 9.3252 2022-11-02 17:51:43,653 - mmdet - INFO - Epoch [3][3450/7390] lr: 1.000e-02, eta: 10:10:32, time: 0.522, data_time: 0.009, memory: 43003, loss_cls: 8.8358, losses_bboxes: 0.4906, loss: 9.3264 2022-11-02 17:52:09,590 - mmdet - INFO - Epoch [3][3500/7390] lr: 1.000e-02, eta: 10:10:06, time: 0.520, data_time: 0.009, memory: 43003, loss_cls: 8.8367, losses_bboxes: 0.4894, loss: 9.3261 2022-11-02 17:52:35,300 - mmdet - INFO - Epoch [3][3550/7390] lr: 1.000e-02, eta: 10:09:39, time: 0.514, data_time: 0.008, memory: 43003, loss_cls: 8.8374, losses_bboxes: 0.4893, loss: 9.3267 2022-11-02 17:53:01,392 - mmdet - INFO - Epoch [3][3600/7390] lr: 1.000e-02, eta: 10:09:13, time: 0.522, data_time: 0.008, memory: 43003, loss_cls: 8.8342, losses_bboxes: 0.4908, loss: 9.3250 2022-11-02 17:53:27,502 - mmdet - INFO - Epoch [3][3650/7390] lr: 1.000e-02, eta: 10:08:47, time: 0.521, data_time: 0.008, memory: 43003, loss_cls: 8.8333, losses_bboxes: 0.4886, loss: 9.3219 2022-11-02 17:53:53,343 - mmdet - INFO - Epoch [3][3700/7390] lr: 1.000e-02, eta: 10:08:21, time: 0.518, data_time: 0.009, memory: 43003, loss_cls: 8.8353, losses_bboxes: 0.4895, loss: 9.3248 2022-11-02 17:54:19,465 - mmdet - INFO - Epoch [3][3750/7390] lr: 1.000e-02, eta: 10:07:55, time: 0.521, data_time: 0.008, memory: 43003, loss_cls: 8.8404, losses_bboxes: 0.4907, loss: 9.3310 2022-11-02 17:54:45,618 - mmdet - INFO - Epoch [3][3800/7390] lr: 1.000e-02, eta: 10:07:30, time: 0.524, data_time: 0.009, memory: 43098, loss_cls: 8.8345, losses_bboxes: 0.4916, loss: 9.3261 2022-11-02 17:55:11,966 - mmdet - INFO - Epoch [3][3850/7390] lr: 1.000e-02, eta: 10:07:05, time: 0.526, data_time: 0.008, memory: 43098, loss_cls: 8.8317, losses_bboxes: 0.4882, loss: 9.3199 2022-11-02 17:55:38,269 - mmdet - INFO - Epoch [3][3900/7390] lr: 1.000e-02, eta: 10:06:40, time: 0.525, data_time: 0.010, memory: 43098, loss_cls: 8.8335, losses_bboxes: 0.4889, loss: 9.3224 2022-11-02 17:56:03,673 - mmdet - INFO - Epoch [3][3950/7390] lr: 1.000e-02, eta: 10:06:12, time: 0.510, data_time: 0.010, memory: 43098, loss_cls: 8.8321, losses_bboxes: 0.4896, loss: 9.3217 2022-11-02 17:56:29,785 - mmdet - INFO - Epoch [3][4000/7390] lr: 1.000e-02, eta: 10:05:46, time: 0.521, data_time: 0.009, memory: 43098, loss_cls: 8.8352, losses_bboxes: 0.4886, loss: 9.3238 2022-11-02 17:56:55,657 - mmdet - INFO - Epoch [3][4050/7390] lr: 1.000e-02, eta: 10:05:20, time: 0.517, data_time: 0.009, memory: 43098, loss_cls: 8.8386, losses_bboxes: 0.4901, loss: 9.3287 2022-11-02 17:57:21,633 - mmdet - INFO - Epoch [3][4100/7390] lr: 1.000e-02, eta: 10:04:54, time: 0.520, data_time: 0.009, memory: 43098, loss_cls: 8.8333, losses_bboxes: 0.4905, loss: 9.3238 2022-11-02 17:57:48,065 - mmdet - INFO - Epoch [3][4150/7390] lr: 1.000e-02, eta: 10:04:30, time: 0.530, data_time: 0.010, memory: 43098, loss_cls: 8.8358, losses_bboxes: 0.4891, loss: 9.3249 2022-11-02 17:58:14,402 - mmdet - INFO - Epoch [3][4200/7390] lr: 1.000e-02, eta: 10:04:05, time: 0.526, data_time: 0.008, memory: 43098, loss_cls: 8.8355, losses_bboxes: 0.4899, loss: 9.3254 2022-11-02 17:58:40,517 - mmdet - INFO - Epoch [3][4250/7390] lr: 1.000e-02, eta: 10:03:39, time: 0.523, data_time: 0.009, memory: 43098, loss_cls: 8.8339, losses_bboxes: 0.4902, loss: 9.3241 2022-11-02 17:59:06,623 - mmdet - INFO - Epoch [3][4300/7390] lr: 1.000e-02, eta: 10:03:14, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8322, losses_bboxes: 0.4887, loss: 9.3209 2022-11-02 17:59:32,904 - mmdet - INFO - Epoch [3][4350/7390] lr: 1.000e-02, eta: 10:02:49, time: 0.527, data_time: 0.009, memory: 43098, loss_cls: 8.8358, losses_bboxes: 0.4879, loss: 9.3236 2022-11-02 17:59:58,815 - mmdet - INFO - Epoch [3][4400/7390] lr: 1.000e-02, eta: 10:02:22, time: 0.517, data_time: 0.007, memory: 43098, loss_cls: 8.8336, losses_bboxes: 0.4901, loss: 9.3237 2022-11-02 18:00:24,398 - mmdet - INFO - Epoch [3][4450/7390] lr: 1.000e-02, eta: 10:01:55, time: 0.513, data_time: 0.009, memory: 43098, loss_cls: 8.8307, losses_bboxes: 0.4906, loss: 9.3213 2022-11-02 18:00:50,327 - mmdet - INFO - Epoch [3][4500/7390] lr: 1.000e-02, eta: 10:01:29, time: 0.518, data_time: 0.008, memory: 43098, loss_cls: 8.8357, losses_bboxes: 0.4888, loss: 9.3245 2022-11-02 18:01:16,225 - mmdet - INFO - Epoch [3][4550/7390] lr: 1.000e-02, eta: 10:01:02, time: 0.517, data_time: 0.008, memory: 43098, loss_cls: 8.8337, losses_bboxes: 0.4899, loss: 9.3236 2022-11-02 18:01:42,183 - mmdet - INFO - Epoch [3][4600/7390] lr: 1.000e-02, eta: 10:00:36, time: 0.521, data_time: 0.009, memory: 43098, loss_cls: 8.8349, losses_bboxes: 0.4890, loss: 9.3238 2022-11-02 18:02:08,648 - mmdet - INFO - Epoch [3][4650/7390] lr: 1.000e-02, eta: 10:00:12, time: 0.528, data_time: 0.007, memory: 43098, loss_cls: 8.8351, losses_bboxes: 0.4878, loss: 9.3229 2022-11-02 18:02:34,284 - mmdet - INFO - Epoch [3][4700/7390] lr: 1.000e-02, eta: 9:59:44, time: 0.513, data_time: 0.009, memory: 43098, loss_cls: 8.8313, losses_bboxes: 0.4864, loss: 9.3177 2022-11-02 18:03:00,448 - mmdet - INFO - Epoch [3][4750/7390] lr: 1.000e-02, eta: 9:59:19, time: 0.523, data_time: 0.008, memory: 43098, loss_cls: 8.8378, losses_bboxes: 0.4890, loss: 9.3269 2022-11-02 18:03:26,199 - mmdet - INFO - Epoch [3][4800/7390] lr: 1.000e-02, eta: 9:58:52, time: 0.515, data_time: 0.008, memory: 43098, loss_cls: 8.8327, losses_bboxes: 0.4895, loss: 9.3221 2022-11-02 18:03:52,222 - mmdet - INFO - Epoch [3][4850/7390] lr: 1.000e-02, eta: 9:58:26, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8321, losses_bboxes: 0.4889, loss: 9.3210 2022-11-02 18:04:18,384 - mmdet - INFO - Epoch [3][4900/7390] lr: 1.000e-02, eta: 9:58:01, time: 0.523, data_time: 0.009, memory: 43098, loss_cls: 8.8361, losses_bboxes: 0.4896, loss: 9.3258 2022-11-02 18:04:44,698 - mmdet - INFO - Epoch [3][4950/7390] lr: 1.000e-02, eta: 9:57:36, time: 0.527, data_time: 0.009, memory: 43098, loss_cls: 8.8384, losses_bboxes: 0.4883, loss: 9.3267 2022-11-02 18:05:10,736 - mmdet - INFO - Epoch [3][5000/7390] lr: 1.000e-02, eta: 9:57:10, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8348, losses_bboxes: 0.4872, loss: 9.3220 2022-11-02 18:05:36,638 - mmdet - INFO - Epoch [3][5050/7390] lr: 1.000e-02, eta: 9:56:44, time: 0.517, data_time: 0.009, memory: 43098, loss_cls: 8.8352, losses_bboxes: 0.4893, loss: 9.3245 2022-11-02 18:06:02,796 - mmdet - INFO - Epoch [3][5100/7390] lr: 1.000e-02, eta: 9:56:18, time: 0.521, data_time: 0.010, memory: 43098, loss_cls: 8.8356, losses_bboxes: 0.4880, loss: 9.3236 2022-11-02 18:06:28,953 - mmdet - INFO - Epoch [3][5150/7390] lr: 1.000e-02, eta: 9:55:53, time: 0.526, data_time: 0.012, memory: 43098, loss_cls: 8.8358, losses_bboxes: 0.4885, loss: 9.3243 2022-11-02 18:06:55,260 - mmdet - INFO - Epoch [3][5200/7390] lr: 1.000e-02, eta: 9:55:27, time: 0.524, data_time: 0.008, memory: 43098, loss_cls: 8.8345, losses_bboxes: 0.4904, loss: 9.3250 2022-11-02 18:07:21,432 - mmdet - INFO - Epoch [3][5250/7390] lr: 1.000e-02, eta: 9:55:02, time: 0.524, data_time: 0.010, memory: 43098, loss_cls: 8.8348, losses_bboxes: 0.4874, loss: 9.3222 2022-11-02 18:07:47,568 - mmdet - INFO - Epoch [3][5300/7390] lr: 1.000e-02, eta: 9:54:37, time: 0.523, data_time: 0.010, memory: 43098, loss_cls: 8.8360, losses_bboxes: 0.4879, loss: 9.3238 2022-11-02 18:08:13,304 - mmdet - INFO - Epoch [3][5350/7390] lr: 1.000e-02, eta: 9:54:10, time: 0.515, data_time: 0.009, memory: 43098, loss_cls: 8.8323, losses_bboxes: 0.4864, loss: 9.3187 2022-11-02 18:08:39,266 - mmdet - INFO - Epoch [3][5400/7390] lr: 1.000e-02, eta: 9:53:44, time: 0.520, data_time: 0.009, memory: 43098, loss_cls: 8.8317, losses_bboxes: 0.4886, loss: 9.3204 2022-11-02 18:09:05,361 - mmdet - INFO - Epoch [3][5450/7390] lr: 1.000e-02, eta: 9:53:18, time: 0.521, data_time: 0.009, memory: 43098, loss_cls: 8.8352, losses_bboxes: 0.4880, loss: 9.3232 2022-11-02 18:09:31,396 - mmdet - INFO - Epoch [3][5500/7390] lr: 1.000e-02, eta: 9:52:52, time: 0.523, data_time: 0.010, memory: 43098, loss_cls: 8.8365, losses_bboxes: 0.4887, loss: 9.3252 2022-11-02 18:09:57,651 - mmdet - INFO - Epoch [3][5550/7390] lr: 1.000e-02, eta: 9:52:27, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8380, losses_bboxes: 0.4884, loss: 9.3263 2022-11-02 18:10:23,971 - mmdet - INFO - Epoch [3][5600/7390] lr: 1.000e-02, eta: 9:52:02, time: 0.529, data_time: 0.010, memory: 43098, loss_cls: 8.8357, losses_bboxes: 0.4876, loss: 9.3234 2022-11-02 18:10:49,995 - mmdet - INFO - Epoch [3][5650/7390] lr: 1.000e-02, eta: 9:51:36, time: 0.519, data_time: 0.008, memory: 43098, loss_cls: 8.8357, losses_bboxes: 0.4900, loss: 9.3257 2022-11-02 18:11:16,066 - mmdet - INFO - Epoch [3][5700/7390] lr: 1.000e-02, eta: 9:51:10, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8327, losses_bboxes: 0.4885, loss: 9.3212 2022-11-02 18:11:42,155 - mmdet - INFO - Epoch [3][5750/7390] lr: 1.000e-02, eta: 9:50:44, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8337, losses_bboxes: 0.4878, loss: 9.3215 2022-11-02 18:12:08,042 - mmdet - INFO - Epoch [3][5800/7390] lr: 1.000e-02, eta: 9:50:18, time: 0.518, data_time: 0.010, memory: 43098, loss_cls: 8.8363, losses_bboxes: 0.4881, loss: 9.3243 2022-11-02 18:12:34,331 - mmdet - INFO - Epoch [3][5850/7390] lr: 1.000e-02, eta: 9:49:53, time: 0.526, data_time: 0.010, memory: 43098, loss_cls: 8.8357, losses_bboxes: 0.4891, loss: 9.3248 2022-11-02 18:13:00,426 - mmdet - INFO - Epoch [3][5900/7390] lr: 1.000e-02, eta: 9:49:27, time: 0.523, data_time: 0.010, memory: 43098, loss_cls: 8.8385, losses_bboxes: 0.4898, loss: 9.3283 2022-11-02 18:13:26,365 - mmdet - INFO - Epoch [3][5950/7390] lr: 1.000e-02, eta: 9:49:01, time: 0.519, data_time: 0.008, memory: 43098, loss_cls: 8.8318, losses_bboxes: 0.4888, loss: 9.3206 2022-11-02 18:13:52,360 - mmdet - INFO - Epoch [3][6000/7390] lr: 1.000e-02, eta: 9:48:35, time: 0.518, data_time: 0.008, memory: 43098, loss_cls: 8.8344, losses_bboxes: 0.4896, loss: 9.3241 2022-11-02 18:14:18,115 - mmdet - INFO - Epoch [3][6050/7390] lr: 1.000e-02, eta: 9:48:08, time: 0.516, data_time: 0.010, memory: 43098, loss_cls: 8.8365, losses_bboxes: 0.4886, loss: 9.3252 2022-11-02 18:14:44,214 - mmdet - INFO - Epoch [3][6100/7390] lr: 1.000e-02, eta: 9:47:42, time: 0.521, data_time: 0.009, memory: 43098, loss_cls: 8.8361, losses_bboxes: 0.4886, loss: 9.3247 2022-11-02 18:15:10,543 - mmdet - INFO - Epoch [3][6150/7390] lr: 1.000e-02, eta: 9:47:18, time: 0.527, data_time: 0.009, memory: 43098, loss_cls: 8.8303, losses_bboxes: 0.4883, loss: 9.3186 2022-11-02 18:15:35,950 - mmdet - INFO - Epoch [3][6200/7390] lr: 1.000e-02, eta: 9:46:50, time: 0.508, data_time: 0.009, memory: 43098, loss_cls: 8.8359, losses_bboxes: 0.4869, loss: 9.3229 2022-11-02 18:16:02,198 - mmdet - INFO - Epoch [3][6250/7390] lr: 1.000e-02, eta: 9:46:24, time: 0.526, data_time: 0.009, memory: 43098, loss_cls: 8.8339, losses_bboxes: 0.4872, loss: 9.3211 2022-11-02 18:16:28,061 - mmdet - INFO - Epoch [3][6300/7390] lr: 1.000e-02, eta: 9:45:58, time: 0.517, data_time: 0.008, memory: 43098, loss_cls: 8.8346, losses_bboxes: 0.4876, loss: 9.3222 2022-11-02 18:16:54,050 - mmdet - INFO - Epoch [3][6350/7390] lr: 1.000e-02, eta: 9:45:32, time: 0.521, data_time: 0.009, memory: 43098, loss_cls: 8.8346, losses_bboxes: 0.4893, loss: 9.3239 2022-11-02 18:17:19,753 - mmdet - INFO - Epoch [3][6400/7390] lr: 1.000e-02, eta: 9:45:05, time: 0.511, data_time: 0.008, memory: 43098, loss_cls: 8.8333, losses_bboxes: 0.4878, loss: 9.3211 2022-11-02 18:17:45,614 - mmdet - INFO - Epoch [3][6450/7390] lr: 1.000e-02, eta: 9:44:39, time: 0.520, data_time: 0.011, memory: 43098, loss_cls: 8.8336, losses_bboxes: 0.4877, loss: 9.3212 2022-11-02 18:18:11,750 - mmdet - INFO - Epoch [3][6500/7390] lr: 1.000e-02, eta: 9:44:13, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8356, losses_bboxes: 0.4884, loss: 9.3240 2022-11-02 18:18:38,204 - mmdet - INFO - Epoch [3][6550/7390] lr: 1.000e-02, eta: 9:43:48, time: 0.529, data_time: 0.009, memory: 43098, loss_cls: 8.8338, losses_bboxes: 0.4902, loss: 9.3240 2022-11-02 18:19:04,179 - mmdet - INFO - Epoch [3][6600/7390] lr: 1.000e-02, eta: 9:43:22, time: 0.520, data_time: 0.009, memory: 43098, loss_cls: 8.8327, losses_bboxes: 0.4881, loss: 9.3207 2022-11-02 18:19:30,026 - mmdet - INFO - Epoch [3][6650/7390] lr: 1.000e-02, eta: 9:42:55, time: 0.515, data_time: 0.009, memory: 43098, loss_cls: 8.8326, losses_bboxes: 0.4866, loss: 9.3193 2022-11-02 18:19:56,289 - mmdet - INFO - Epoch [3][6700/7390] lr: 1.000e-02, eta: 9:42:31, time: 0.528, data_time: 0.010, memory: 43098, loss_cls: 8.8319, losses_bboxes: 0.4880, loss: 9.3199 2022-11-02 18:20:22,157 - mmdet - INFO - Epoch [3][6750/7390] lr: 1.000e-02, eta: 9:42:04, time: 0.516, data_time: 0.008, memory: 43098, loss_cls: 8.8338, losses_bboxes: 0.4876, loss: 9.3214 2022-11-02 18:20:48,138 - mmdet - INFO - Epoch [3][6800/7390] lr: 1.000e-02, eta: 9:41:38, time: 0.519, data_time: 0.009, memory: 43098, loss_cls: 8.8368, losses_bboxes: 0.4868, loss: 9.3236 2022-11-02 18:21:13,590 - mmdet - INFO - Epoch [3][6850/7390] lr: 1.000e-02, eta: 9:41:10, time: 0.509, data_time: 0.009, memory: 43098, loss_cls: 8.8332, losses_bboxes: 0.4870, loss: 9.3202 2022-11-02 18:21:39,674 - mmdet - INFO - Epoch [3][6900/7390] lr: 1.000e-02, eta: 9:40:45, time: 0.524, data_time: 0.010, memory: 43098, loss_cls: 8.8339, losses_bboxes: 0.4864, loss: 9.3204 2022-11-02 18:22:05,669 - mmdet - INFO - Epoch [3][6950/7390] lr: 1.000e-02, eta: 9:40:18, time: 0.519, data_time: 0.008, memory: 43098, loss_cls: 8.8357, losses_bboxes: 0.4861, loss: 9.3218 2022-11-02 18:22:32,035 - mmdet - INFO - Epoch [3][7000/7390] lr: 1.000e-02, eta: 9:39:53, time: 0.525, data_time: 0.009, memory: 43098, loss_cls: 8.8320, losses_bboxes: 0.4878, loss: 9.3198 2022-11-02 18:22:57,889 - mmdet - INFO - Epoch [3][7050/7390] lr: 1.000e-02, eta: 9:39:27, time: 0.519, data_time: 0.011, memory: 43098, loss_cls: 8.8344, losses_bboxes: 0.4872, loss: 9.3215 2022-11-02 18:23:24,152 - mmdet - INFO - Epoch [3][7100/7390] lr: 1.000e-02, eta: 9:39:02, time: 0.526, data_time: 0.009, memory: 43098, loss_cls: 8.8350, losses_bboxes: 0.4883, loss: 9.3233 2022-11-02 18:23:49,498 - mmdet - INFO - Epoch [3][7150/7390] lr: 1.000e-02, eta: 9:38:34, time: 0.507, data_time: 0.008, memory: 43098, loss_cls: 8.8321, losses_bboxes: 0.4880, loss: 9.3201 2022-11-02 18:24:15,583 - mmdet - INFO - Epoch [3][7200/7390] lr: 1.000e-02, eta: 9:38:08, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8363, losses_bboxes: 0.4862, loss: 9.3225 2022-11-02 18:24:41,275 - mmdet - INFO - Epoch [3][7250/7390] lr: 1.000e-02, eta: 9:37:41, time: 0.514, data_time: 0.008, memory: 43098, loss_cls: 8.8351, losses_bboxes: 0.4859, loss: 9.3210 2022-11-02 18:25:07,111 - mmdet - INFO - Epoch [3][7300/7390] lr: 1.000e-02, eta: 9:37:15, time: 0.517, data_time: 0.008, memory: 43098, loss_cls: 8.8346, losses_bboxes: 0.4874, loss: 9.3220 2022-11-02 18:25:33,355 - mmdet - INFO - Epoch [3][7350/7390] lr: 1.000e-02, eta: 9:36:49, time: 0.524, data_time: 0.008, memory: 43098, loss_cls: 8.8355, losses_bboxes: 0.4891, loss: 9.3246 2022-11-02 18:25:54,461 - mmdet - INFO - Saving checkpoint at 3 epochs 2022-11-02 18:26:24,450 - mmdet - INFO - Epoch [4][50/7390] lr: 1.000e-02, eta: 9:35:09, time: 0.579, data_time: 0.068, memory: 43098, loss_cls: 8.8311, losses_bboxes: 0.4864, loss: 9.3175 2022-11-02 18:26:50,523 - mmdet - INFO - Epoch [4][100/7390] lr: 1.000e-02, eta: 9:34:43, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8296, losses_bboxes: 0.4878, loss: 9.3174 2022-11-02 18:27:16,204 - mmdet - INFO - Epoch [4][150/7390] lr: 1.000e-02, eta: 9:34:17, time: 0.514, data_time: 0.010, memory: 43098, loss_cls: 8.8356, losses_bboxes: 0.4871, loss: 9.3227 2022-11-02 18:27:42,549 - mmdet - INFO - Epoch [4][200/7390] lr: 1.000e-02, eta: 9:33:52, time: 0.529, data_time: 0.009, memory: 43098, loss_cls: 8.8374, losses_bboxes: 0.4866, loss: 9.3240 2022-11-02 18:28:08,605 - mmdet - INFO - Epoch [4][250/7390] lr: 1.000e-02, eta: 9:33:26, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8349, losses_bboxes: 0.4864, loss: 9.3213 2022-11-02 18:28:34,243 - mmdet - INFO - Epoch [4][300/7390] lr: 1.000e-02, eta: 9:32:59, time: 0.512, data_time: 0.009, memory: 43098, loss_cls: 8.8300, losses_bboxes: 0.4850, loss: 9.3151 2022-11-02 18:29:00,514 - mmdet - INFO - Epoch [4][350/7390] lr: 1.000e-02, eta: 9:32:34, time: 0.527, data_time: 0.010, memory: 43098, loss_cls: 8.8345, losses_bboxes: 0.4857, loss: 9.3202 2022-11-02 18:29:26,840 - mmdet - INFO - Epoch [4][400/7390] lr: 1.000e-02, eta: 9:32:09, time: 0.526, data_time: 0.008, memory: 43098, loss_cls: 8.8306, losses_bboxes: 0.4859, loss: 9.3165 2022-11-02 18:29:52,483 - mmdet - INFO - Epoch [4][450/7390] lr: 1.000e-02, eta: 9:31:42, time: 0.513, data_time: 0.009, memory: 43098, loss_cls: 8.8338, losses_bboxes: 0.4868, loss: 9.3206 2022-11-02 18:30:18,446 - mmdet - INFO - Epoch [4][500/7390] lr: 1.000e-02, eta: 9:31:17, time: 0.519, data_time: 0.009, memory: 43098, loss_cls: 8.8360, losses_bboxes: 0.4890, loss: 9.3249 2022-11-02 18:30:44,351 - mmdet - INFO - Epoch [4][550/7390] lr: 1.000e-02, eta: 9:30:50, time: 0.519, data_time: 0.009, memory: 43098, loss_cls: 8.8324, losses_bboxes: 0.4844, loss: 9.3168 2022-11-02 18:31:10,495 - mmdet - INFO - Epoch [4][600/7390] lr: 1.000e-02, eta: 9:30:25, time: 0.521, data_time: 0.008, memory: 43098, loss_cls: 8.8392, losses_bboxes: 0.4870, loss: 9.3262 2022-11-02 18:31:36,538 - mmdet - INFO - Epoch [4][650/7390] lr: 1.000e-02, eta: 9:29:59, time: 0.522, data_time: 0.010, memory: 43098, loss_cls: 8.8335, losses_bboxes: 0.4864, loss: 9.3199 2022-11-02 18:32:02,775 - mmdet - INFO - Epoch [4][700/7390] lr: 1.000e-02, eta: 9:29:34, time: 0.525, data_time: 0.008, memory: 43098, loss_cls: 8.8351, losses_bboxes: 0.4872, loss: 9.3223 2022-11-02 18:32:28,904 - mmdet - INFO - Epoch [4][750/7390] lr: 1.000e-02, eta: 9:29:08, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8340, losses_bboxes: 0.4865, loss: 9.3204 2022-11-02 18:32:55,296 - mmdet - INFO - Epoch [4][800/7390] lr: 1.000e-02, eta: 9:28:44, time: 0.529, data_time: 0.009, memory: 43098, loss_cls: 8.8324, losses_bboxes: 0.4882, loss: 9.3206 2022-11-02 18:33:21,133 - mmdet - INFO - Epoch [4][850/7390] lr: 1.000e-02, eta: 9:28:17, time: 0.515, data_time: 0.007, memory: 43098, loss_cls: 8.8341, losses_bboxes: 0.4867, loss: 9.3208 2022-11-02 18:33:47,193 - mmdet - INFO - Epoch [4][900/7390] lr: 1.000e-02, eta: 9:27:52, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8342, losses_bboxes: 0.4859, loss: 9.3201 2022-11-02 18:34:13,348 - mmdet - INFO - Epoch [4][950/7390] lr: 1.000e-02, eta: 9:27:26, time: 0.523, data_time: 0.008, memory: 43098, loss_cls: 8.8380, losses_bboxes: 0.4864, loss: 9.3244 2022-11-02 18:34:39,592 - mmdet - INFO - Epoch [4][1000/7390] lr: 1.000e-02, eta: 9:27:01, time: 0.525, data_time: 0.009, memory: 43098, loss_cls: 8.8363, losses_bboxes: 0.4871, loss: 9.3234 2022-11-02 18:35:05,613 - mmdet - INFO - Epoch [4][1050/7390] lr: 1.000e-02, eta: 9:26:35, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8342, losses_bboxes: 0.4842, loss: 9.3184 2022-11-02 18:35:31,655 - mmdet - INFO - Epoch [4][1100/7390] lr: 1.000e-02, eta: 9:26:09, time: 0.520, data_time: 0.009, memory: 43098, loss_cls: 8.8316, losses_bboxes: 0.4863, loss: 9.3179 2022-11-02 18:35:57,775 - mmdet - INFO - Epoch [4][1150/7390] lr: 1.000e-02, eta: 9:25:44, time: 0.525, data_time: 0.010, memory: 43098, loss_cls: 8.8330, losses_bboxes: 0.4892, loss: 9.3222 2022-11-02 18:36:24,228 - mmdet - INFO - Epoch [4][1200/7390] lr: 1.000e-02, eta: 9:25:20, time: 0.529, data_time: 0.008, memory: 43098, loss_cls: 8.8319, losses_bboxes: 0.4859, loss: 9.3177 2022-11-02 18:36:50,258 - mmdet - INFO - Epoch [4][1250/7390] lr: 1.000e-02, eta: 9:24:54, time: 0.519, data_time: 0.007, memory: 43098, loss_cls: 8.8353, losses_bboxes: 0.4875, loss: 9.3228 2022-11-02 18:37:16,106 - mmdet - INFO - Epoch [4][1300/7390] lr: 1.000e-02, eta: 9:24:27, time: 0.518, data_time: 0.009, memory: 43098, loss_cls: 8.8354, losses_bboxes: 0.4869, loss: 9.3223 2022-11-02 18:37:41,836 - mmdet - INFO - Epoch [4][1350/7390] lr: 1.000e-02, eta: 9:24:01, time: 0.515, data_time: 0.008, memory: 43098, loss_cls: 8.8347, losses_bboxes: 0.4860, loss: 9.3207 2022-11-02 18:38:07,452 - mmdet - INFO - Epoch [4][1400/7390] lr: 1.000e-02, eta: 9:23:34, time: 0.512, data_time: 0.008, memory: 43098, loss_cls: 8.8383, losses_bboxes: 0.4871, loss: 9.3254 2022-11-02 18:38:32,888 - mmdet - INFO - Epoch [4][1450/7390] lr: 1.000e-02, eta: 9:23:06, time: 0.509, data_time: 0.008, memory: 43098, loss_cls: 8.8377, losses_bboxes: 0.4867, loss: 9.3244 2022-11-02 18:38:58,932 - mmdet - INFO - Epoch [4][1500/7390] lr: 1.000e-02, eta: 9:22:41, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8367, losses_bboxes: 0.4864, loss: 9.3232 2022-11-02 18:39:24,789 - mmdet - INFO - Epoch [4][1550/7390] lr: 1.000e-02, eta: 9:22:14, time: 0.518, data_time: 0.009, memory: 43098, loss_cls: 8.8343, losses_bboxes: 0.4857, loss: 9.3199 2022-11-02 18:39:50,135 - mmdet - INFO - Epoch [4][1600/7390] lr: 1.000e-02, eta: 9:21:47, time: 0.507, data_time: 0.008, memory: 43098, loss_cls: 8.8337, losses_bboxes: 0.4860, loss: 9.3196 2022-11-02 18:40:15,788 - mmdet - INFO - Epoch [4][1650/7390] lr: 1.000e-02, eta: 9:21:20, time: 0.512, data_time: 0.008, memory: 43098, loss_cls: 8.8349, losses_bboxes: 0.4855, loss: 9.3204 2022-11-02 18:40:41,945 - mmdet - INFO - Epoch [4][1700/7390] lr: 1.000e-02, eta: 9:20:54, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8329, losses_bboxes: 0.4868, loss: 9.3197 2022-11-02 18:41:08,002 - mmdet - INFO - Epoch [4][1750/7390] lr: 1.000e-02, eta: 9:20:29, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8332, losses_bboxes: 0.4862, loss: 9.3194 2022-11-02 18:41:34,437 - mmdet - INFO - Epoch [4][1800/7390] lr: 1.000e-02, eta: 9:20:04, time: 0.530, data_time: 0.009, memory: 43098, loss_cls: 8.8336, losses_bboxes: 0.4857, loss: 9.3194 2022-11-02 18:42:00,585 - mmdet - INFO - Epoch [4][1850/7390] lr: 1.000e-02, eta: 9:19:38, time: 0.521, data_time: 0.008, memory: 43098, loss_cls: 8.8358, losses_bboxes: 0.4867, loss: 9.3225 2022-11-02 18:42:26,773 - mmdet - INFO - Epoch [4][1900/7390] lr: 1.000e-02, eta: 9:19:13, time: 0.526, data_time: 0.010, memory: 43098, loss_cls: 8.8348, losses_bboxes: 0.4876, loss: 9.3225 2022-11-02 18:42:53,238 - mmdet - INFO - Epoch [4][1950/7390] lr: 1.000e-02, eta: 9:18:48, time: 0.528, data_time: 0.007, memory: 43098, loss_cls: 8.8366, losses_bboxes: 0.4863, loss: 9.3229 2022-11-02 18:43:19,558 - mmdet - INFO - Epoch [4][2000/7390] lr: 1.000e-02, eta: 9:18:23, time: 0.527, data_time: 0.009, memory: 43098, loss_cls: 8.8387, losses_bboxes: 0.4856, loss: 9.3243 2022-11-02 18:43:45,245 - mmdet - INFO - Epoch [4][2050/7390] lr: 1.000e-02, eta: 9:17:57, time: 0.515, data_time: 0.009, memory: 43098, loss_cls: 8.8348, losses_bboxes: 0.4850, loss: 9.3199 2022-11-02 18:44:11,316 - mmdet - INFO - Epoch [4][2100/7390] lr: 1.000e-02, eta: 9:17:31, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8371, losses_bboxes: 0.4876, loss: 9.3247 2022-11-02 18:44:37,377 - mmdet - INFO - Epoch [4][2150/7390] lr: 1.000e-02, eta: 9:17:05, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8317, losses_bboxes: 0.4851, loss: 9.3167 2022-11-02 18:45:03,083 - mmdet - INFO - Epoch [4][2200/7390] lr: 1.000e-02, eta: 9:16:39, time: 0.514, data_time: 0.008, memory: 43098, loss_cls: 8.8335, losses_bboxes: 0.4853, loss: 9.3188 2022-11-02 18:45:28,960 - mmdet - INFO - Epoch [4][2250/7390] lr: 1.000e-02, eta: 9:16:12, time: 0.516, data_time: 0.007, memory: 43098, loss_cls: 8.8315, losses_bboxes: 0.4857, loss: 9.3171 2022-11-02 18:45:55,017 - mmdet - INFO - Epoch [4][2300/7390] lr: 1.000e-02, eta: 9:15:47, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8360, losses_bboxes: 0.4858, loss: 9.3219 2022-11-02 18:46:20,742 - mmdet - INFO - Epoch [4][2350/7390] lr: 1.000e-02, eta: 9:15:20, time: 0.515, data_time: 0.008, memory: 43098, loss_cls: 8.8365, losses_bboxes: 0.4851, loss: 9.3216 2022-11-02 18:46:46,985 - mmdet - INFO - Epoch [4][2400/7390] lr: 1.000e-02, eta: 9:14:55, time: 0.525, data_time: 0.008, memory: 43098, loss_cls: 8.8360, losses_bboxes: 0.4861, loss: 9.3220 2022-11-02 18:47:13,230 - mmdet - INFO - Epoch [4][2450/7390] lr: 1.000e-02, eta: 9:14:30, time: 0.525, data_time: 0.007, memory: 43098, loss_cls: 8.8320, losses_bboxes: 0.4858, loss: 9.3178 2022-11-02 18:47:39,478 - mmdet - INFO - Epoch [4][2500/7390] lr: 1.000e-02, eta: 9:14:04, time: 0.523, data_time: 0.007, memory: 43098, loss_cls: 8.8305, losses_bboxes: 0.4868, loss: 9.3173 2022-11-02 18:48:05,114 - mmdet - INFO - Epoch [4][2550/7390] lr: 1.000e-02, eta: 9:13:38, time: 0.515, data_time: 0.009, memory: 43098, loss_cls: 8.8332, losses_bboxes: 0.4841, loss: 9.3173 2022-11-02 18:48:31,144 - mmdet - INFO - Epoch [4][2600/7390] lr: 1.000e-02, eta: 9:13:12, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8323, losses_bboxes: 0.4859, loss: 9.3182 2022-11-02 18:48:57,391 - mmdet - INFO - Epoch [4][2650/7390] lr: 1.000e-02, eta: 9:12:47, time: 0.526, data_time: 0.008, memory: 43098, loss_cls: 8.8381, losses_bboxes: 0.4857, loss: 9.3239 2022-11-02 18:49:23,847 - mmdet - INFO - Epoch [4][2700/7390] lr: 1.000e-02, eta: 9:12:22, time: 0.529, data_time: 0.008, memory: 43098, loss_cls: 8.8352, losses_bboxes: 0.4867, loss: 9.3220 2022-11-02 18:49:49,751 - mmdet - INFO - Epoch [4][2750/7390] lr: 1.000e-02, eta: 9:11:56, time: 0.517, data_time: 0.008, memory: 43098, loss_cls: 8.8357, losses_bboxes: 0.4829, loss: 9.3186 2022-11-02 18:50:15,851 - mmdet - INFO - Epoch [4][2800/7390] lr: 1.000e-02, eta: 9:11:30, time: 0.520, data_time: 0.009, memory: 43098, loss_cls: 8.8344, losses_bboxes: 0.4855, loss: 9.3199 2022-11-02 18:50:41,642 - mmdet - INFO - Epoch [4][2850/7390] lr: 1.000e-02, eta: 9:11:03, time: 0.516, data_time: 0.010, memory: 43098, loss_cls: 8.8351, losses_bboxes: 0.4848, loss: 9.3200 2022-11-02 18:51:07,718 - mmdet - INFO - Epoch [4][2900/7390] lr: 1.000e-02, eta: 9:10:38, time: 0.522, data_time: 0.010, memory: 43098, loss_cls: 8.8344, losses_bboxes: 0.4856, loss: 9.3200 2022-11-02 18:51:34,050 - mmdet - INFO - Epoch [4][2950/7390] lr: 1.000e-02, eta: 9:10:13, time: 0.527, data_time: 0.010, memory: 43098, loss_cls: 8.8354, losses_bboxes: 0.4859, loss: 9.3213 2022-11-02 18:52:00,377 - mmdet - INFO - Epoch [4][3000/7390] lr: 1.000e-02, eta: 9:09:48, time: 0.526, data_time: 0.009, memory: 43098, loss_cls: 8.8364, losses_bboxes: 0.4842, loss: 9.3207 2022-11-02 18:52:26,406 - mmdet - INFO - Epoch [4][3050/7390] lr: 1.000e-02, eta: 9:09:22, time: 0.522, data_time: 0.010, memory: 43098, loss_cls: 8.8322, losses_bboxes: 0.4858, loss: 9.3181 2022-11-02 18:52:52,336 - mmdet - INFO - Epoch [4][3100/7390] lr: 1.000e-02, eta: 9:08:56, time: 0.519, data_time: 0.008, memory: 43098, loss_cls: 8.8319, losses_bboxes: 0.4857, loss: 9.3176 2022-11-02 18:53:18,415 - mmdet - INFO - Epoch [4][3150/7390] lr: 1.000e-02, eta: 9:08:30, time: 0.521, data_time: 0.008, memory: 43098, loss_cls: 8.8348, losses_bboxes: 0.4844, loss: 9.3192 2022-11-02 18:53:44,459 - mmdet - INFO - Epoch [4][3200/7390] lr: 1.000e-02, eta: 9:08:04, time: 0.521, data_time: 0.009, memory: 43098, loss_cls: 8.8357, losses_bboxes: 0.4849, loss: 9.3205 2022-11-02 18:54:10,677 - mmdet - INFO - Epoch [4][3250/7390] lr: 1.000e-02, eta: 9:07:39, time: 0.524, data_time: 0.009, memory: 43098, loss_cls: 8.8369, losses_bboxes: 0.4855, loss: 9.3225 2022-11-02 18:54:36,962 - mmdet - INFO - Epoch [4][3300/7390] lr: 1.000e-02, eta: 9:07:14, time: 0.527, data_time: 0.009, memory: 43098, loss_cls: 8.8353, losses_bboxes: 0.4871, loss: 9.3224 2022-11-02 18:55:03,299 - mmdet - INFO - Epoch [4][3350/7390] lr: 1.000e-02, eta: 9:06:49, time: 0.525, data_time: 0.008, memory: 43098, loss_cls: 8.8314, losses_bboxes: 0.4857, loss: 9.3170 2022-11-02 18:55:29,001 - mmdet - INFO - Epoch [4][3400/7390] lr: 1.000e-02, eta: 9:06:22, time: 0.515, data_time: 0.009, memory: 43098, loss_cls: 8.8361, losses_bboxes: 0.4862, loss: 9.3224 2022-11-02 18:55:54,559 - mmdet - INFO - Epoch [4][3450/7390] lr: 1.000e-02, eta: 9:05:55, time: 0.511, data_time: 0.008, memory: 43098, loss_cls: 8.8337, losses_bboxes: 0.4844, loss: 9.3181 2022-11-02 18:56:20,335 - mmdet - INFO - Epoch [4][3500/7390] lr: 1.000e-02, eta: 9:05:29, time: 0.514, data_time: 0.008, memory: 43098, loss_cls: 8.8335, losses_bboxes: 0.4847, loss: 9.3182 2022-11-02 18:56:46,482 - mmdet - INFO - Epoch [4][3550/7390] lr: 1.000e-02, eta: 9:05:03, time: 0.523, data_time: 0.010, memory: 43098, loss_cls: 8.8361, losses_bboxes: 0.4852, loss: 9.3213 2022-11-02 18:57:12,839 - mmdet - INFO - Epoch [4][3600/7390] lr: 1.000e-02, eta: 9:04:38, time: 0.528, data_time: 0.009, memory: 43098, loss_cls: 8.8345, losses_bboxes: 0.4857, loss: 9.3202 2022-11-02 18:57:38,957 - mmdet - INFO - Epoch [4][3650/7390] lr: 1.000e-02, eta: 9:04:13, time: 0.524, data_time: 0.009, memory: 43098, loss_cls: 8.8348, losses_bboxes: 0.4844, loss: 9.3193 2022-11-02 18:58:05,106 - mmdet - INFO - Epoch [4][3700/7390] lr: 1.000e-02, eta: 9:03:47, time: 0.522, data_time: 0.007, memory: 43098, loss_cls: 8.8332, losses_bboxes: 0.4852, loss: 9.3184 2022-11-02 18:58:30,622 - mmdet - INFO - Epoch [4][3750/7390] lr: 1.000e-02, eta: 9:03:20, time: 0.512, data_time: 0.009, memory: 43098, loss_cls: 8.8343, losses_bboxes: 0.4855, loss: 9.3197 2022-11-02 18:58:56,296 - mmdet - INFO - Epoch [4][3800/7390] lr: 1.000e-02, eta: 9:02:53, time: 0.513, data_time: 0.007, memory: 43098, loss_cls: 8.8351, losses_bboxes: 0.4841, loss: 9.3191 2022-11-02 18:59:21,752 - mmdet - INFO - Epoch [4][3850/7390] lr: 1.000e-02, eta: 9:02:26, time: 0.509, data_time: 0.008, memory: 43098, loss_cls: 8.8361, losses_bboxes: 0.4843, loss: 9.3203 2022-11-02 18:59:48,033 - mmdet - INFO - Epoch [4][3900/7390] lr: 1.000e-02, eta: 9:02:01, time: 0.524, data_time: 0.008, memory: 43098, loss_cls: 8.8349, losses_bboxes: 0.4861, loss: 9.3209 2022-11-02 19:00:13,759 - mmdet - INFO - Epoch [4][3950/7390] lr: 1.000e-02, eta: 9:01:34, time: 0.516, data_time: 0.010, memory: 43098, loss_cls: 8.8330, losses_bboxes: 0.4853, loss: 9.3184 2022-11-02 19:00:40,095 - mmdet - INFO - Epoch [4][4000/7390] lr: 1.000e-02, eta: 9:01:09, time: 0.525, data_time: 0.009, memory: 43098, loss_cls: 8.8329, losses_bboxes: 0.4844, loss: 9.3173 2022-11-02 19:01:06,509 - mmdet - INFO - Epoch [4][4050/7390] lr: 1.000e-02, eta: 9:00:44, time: 0.530, data_time: 0.010, memory: 43098, loss_cls: 8.8353, losses_bboxes: 0.4835, loss: 9.3188 2022-11-02 19:01:32,683 - mmdet - INFO - Epoch [4][4100/7390] lr: 1.000e-02, eta: 9:00:19, time: 0.523, data_time: 0.008, memory: 43098, loss_cls: 8.8374, losses_bboxes: 0.4865, loss: 9.3240 2022-11-02 19:01:58,506 - mmdet - INFO - Epoch [4][4150/7390] lr: 1.000e-02, eta: 8:59:52, time: 0.518, data_time: 0.009, memory: 43098, loss_cls: 8.8350, losses_bboxes: 0.4852, loss: 9.3202 2022-11-02 19:02:24,297 - mmdet - INFO - Epoch [4][4200/7390] lr: 1.000e-02, eta: 8:59:26, time: 0.515, data_time: 0.008, memory: 43098, loss_cls: 8.8323, losses_bboxes: 0.4848, loss: 9.3171 2022-11-02 19:02:50,346 - mmdet - INFO - Epoch [4][4250/7390] lr: 1.000e-02, eta: 8:59:00, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8380, losses_bboxes: 0.4843, loss: 9.3223 2022-11-02 19:03:15,981 - mmdet - INFO - Epoch [4][4300/7390] lr: 1.000e-02, eta: 8:58:33, time: 0.513, data_time: 0.009, memory: 43098, loss_cls: 8.8312, losses_bboxes: 0.4849, loss: 9.3161 2022-11-02 19:03:41,822 - mmdet - INFO - Epoch [4][4350/7390] lr: 1.000e-02, eta: 8:58:07, time: 0.515, data_time: 0.008, memory: 43098, loss_cls: 8.8326, losses_bboxes: 0.4828, loss: 9.3154 2022-11-02 19:04:07,690 - mmdet - INFO - Epoch [4][4400/7390] lr: 1.000e-02, eta: 8:57:41, time: 0.518, data_time: 0.010, memory: 43098, loss_cls: 8.8339, losses_bboxes: 0.4822, loss: 9.3161 2022-11-02 19:04:33,360 - mmdet - INFO - Epoch [4][4450/7390] lr: 1.000e-02, eta: 8:57:14, time: 0.513, data_time: 0.010, memory: 43098, loss_cls: 8.8318, losses_bboxes: 0.4833, loss: 9.3151 2022-11-02 19:04:59,627 - mmdet - INFO - Epoch [4][4500/7390] lr: 1.000e-02, eta: 8:56:49, time: 0.526, data_time: 0.009, memory: 43098, loss_cls: 8.8352, losses_bboxes: 0.4853, loss: 9.3205 2022-11-02 19:05:25,102 - mmdet - INFO - Epoch [4][4550/7390] lr: 1.000e-02, eta: 8:56:22, time: 0.508, data_time: 0.009, memory: 43098, loss_cls: 8.8321, losses_bboxes: 0.4838, loss: 9.3159 2022-11-02 19:05:51,106 - mmdet - INFO - Epoch [4][4600/7390] lr: 1.000e-02, eta: 8:55:56, time: 0.522, data_time: 0.010, memory: 43098, loss_cls: 8.8345, losses_bboxes: 0.4848, loss: 9.3193 2022-11-02 19:06:17,185 - mmdet - INFO - Epoch [4][4650/7390] lr: 1.000e-02, eta: 8:55:30, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8352, losses_bboxes: 0.4838, loss: 9.3190 2022-11-02 19:06:43,622 - mmdet - INFO - Epoch [4][4700/7390] lr: 1.000e-02, eta: 8:55:05, time: 0.528, data_time: 0.008, memory: 43098, loss_cls: 8.8352, losses_bboxes: 0.4848, loss: 9.3200 2022-11-02 19:07:10,286 - mmdet - INFO - Epoch [4][4750/7390] lr: 1.000e-02, eta: 8:54:41, time: 0.533, data_time: 0.009, memory: 43098, loss_cls: 8.8322, losses_bboxes: 0.4864, loss: 9.3186 2022-11-02 19:07:36,325 - mmdet - INFO - Epoch [4][4800/7390] lr: 1.000e-02, eta: 8:54:15, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8349, losses_bboxes: 0.4838, loss: 9.3188 2022-11-02 19:08:02,326 - mmdet - INFO - Epoch [4][4850/7390] lr: 1.000e-02, eta: 8:53:49, time: 0.519, data_time: 0.008, memory: 43098, loss_cls: 8.8372, losses_bboxes: 0.4834, loss: 9.3205 2022-11-02 19:08:28,543 - mmdet - INFO - Epoch [4][4900/7390] lr: 1.000e-02, eta: 8:53:24, time: 0.524, data_time: 0.009, memory: 43098, loss_cls: 8.8333, losses_bboxes: 0.4841, loss: 9.3174 2022-11-02 19:08:54,723 - mmdet - INFO - Epoch [4][4950/7390] lr: 1.000e-02, eta: 8:52:58, time: 0.524, data_time: 0.010, memory: 43098, loss_cls: 8.8327, losses_bboxes: 0.4864, loss: 9.3190 2022-11-02 19:09:20,779 - mmdet - INFO - Epoch [4][5000/7390] lr: 1.000e-02, eta: 8:52:33, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8382, losses_bboxes: 0.4837, loss: 9.3219 2022-11-02 19:09:46,417 - mmdet - INFO - Epoch [4][5050/7390] lr: 1.000e-02, eta: 8:52:06, time: 0.512, data_time: 0.008, memory: 43098, loss_cls: 8.8334, losses_bboxes: 0.4844, loss: 9.3178 2022-11-02 19:10:12,230 - mmdet - INFO - Epoch [4][5100/7390] lr: 1.000e-02, eta: 8:51:39, time: 0.516, data_time: 0.009, memory: 43098, loss_cls: 8.8338, losses_bboxes: 0.4842, loss: 9.3181 2022-11-02 19:10:37,646 - mmdet - INFO - Epoch [4][5150/7390] lr: 1.000e-02, eta: 8:51:12, time: 0.507, data_time: 0.009, memory: 43098, loss_cls: 8.8338, losses_bboxes: 0.4846, loss: 9.3184 2022-11-02 19:11:03,931 - mmdet - INFO - Epoch [4][5200/7390] lr: 1.000e-02, eta: 8:50:47, time: 0.528, data_time: 0.011, memory: 43098, loss_cls: 8.8344, losses_bboxes: 0.4849, loss: 9.3193 2022-11-02 19:11:30,033 - mmdet - INFO - Epoch [4][5250/7390] lr: 1.000e-02, eta: 8:50:21, time: 0.521, data_time: 0.008, memory: 43098, loss_cls: 8.8338, losses_bboxes: 0.4846, loss: 9.3184 2022-11-02 19:11:55,981 - mmdet - INFO - Epoch [4][5300/7390] lr: 1.000e-02, eta: 8:49:55, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8356, losses_bboxes: 0.4832, loss: 9.3188 2022-11-02 19:12:22,123 - mmdet - INFO - Epoch [4][5350/7390] lr: 1.000e-02, eta: 8:49:30, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8321, losses_bboxes: 0.4832, loss: 9.3153 2022-11-02 19:12:48,226 - mmdet - INFO - Epoch [4][5400/7390] lr: 1.000e-02, eta: 8:49:04, time: 0.523, data_time: 0.009, memory: 43098, loss_cls: 8.8378, losses_bboxes: 0.4839, loss: 9.3217 2022-11-02 19:13:14,157 - mmdet - INFO - Epoch [4][5450/7390] lr: 1.000e-02, eta: 8:48:38, time: 0.517, data_time: 0.008, memory: 43098, loss_cls: 8.8336, losses_bboxes: 0.4847, loss: 9.3182 2022-11-02 19:13:40,236 - mmdet - INFO - Epoch [4][5500/7390] lr: 1.000e-02, eta: 8:48:12, time: 0.523, data_time: 0.009, memory: 43098, loss_cls: 8.8347, losses_bboxes: 0.4839, loss: 9.3187 2022-11-02 19:14:06,468 - mmdet - INFO - Epoch [4][5550/7390] lr: 1.000e-02, eta: 8:47:47, time: 0.525, data_time: 0.008, memory: 43098, loss_cls: 8.8362, losses_bboxes: 0.4844, loss: 9.3205 2022-11-02 19:14:32,540 - mmdet - INFO - Epoch [4][5600/7390] lr: 1.000e-02, eta: 8:47:21, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8344, losses_bboxes: 0.4825, loss: 9.3169 2022-11-02 19:14:58,144 - mmdet - INFO - Epoch [4][5650/7390] lr: 1.000e-02, eta: 8:46:54, time: 0.512, data_time: 0.008, memory: 43098, loss_cls: 8.8332, losses_bboxes: 0.4823, loss: 9.3155 2022-11-02 19:15:24,161 - mmdet - INFO - Epoch [4][5700/7390] lr: 1.000e-02, eta: 8:46:28, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8380, losses_bboxes: 0.4856, loss: 9.3236 2022-11-02 19:15:50,795 - mmdet - INFO - Epoch [4][5750/7390] lr: 1.000e-02, eta: 8:46:04, time: 0.532, data_time: 0.009, memory: 43098, loss_cls: 8.8321, losses_bboxes: 0.4839, loss: 9.3161 2022-11-02 19:16:16,618 - mmdet - INFO - Epoch [4][5800/7390] lr: 1.000e-02, eta: 8:45:37, time: 0.518, data_time: 0.010, memory: 43098, loss_cls: 8.8332, losses_bboxes: 0.4827, loss: 9.3159 2022-11-02 19:16:42,541 - mmdet - INFO - Epoch [4][5850/7390] lr: 1.000e-02, eta: 8:45:11, time: 0.518, data_time: 0.008, memory: 43098, loss_cls: 8.8309, losses_bboxes: 0.4840, loss: 9.3148 2022-11-02 19:17:08,461 - mmdet - INFO - Epoch [4][5900/7390] lr: 1.000e-02, eta: 8:44:45, time: 0.518, data_time: 0.009, memory: 43098, loss_cls: 8.8344, losses_bboxes: 0.4846, loss: 9.3190 2022-11-02 19:17:34,828 - mmdet - INFO - Epoch [4][5950/7390] lr: 1.000e-02, eta: 8:44:20, time: 0.527, data_time: 0.009, memory: 43098, loss_cls: 8.8330, losses_bboxes: 0.4839, loss: 9.3169 2022-11-02 19:18:00,611 - mmdet - INFO - Epoch [4][6000/7390] lr: 1.000e-02, eta: 8:43:54, time: 0.517, data_time: 0.009, memory: 43098, loss_cls: 8.8324, losses_bboxes: 0.4826, loss: 9.3150 2022-11-02 19:18:26,314 - mmdet - INFO - Epoch [4][6050/7390] lr: 1.000e-02, eta: 8:43:27, time: 0.514, data_time: 0.008, memory: 43098, loss_cls: 8.8317, losses_bboxes: 0.4826, loss: 9.3143 2022-11-02 19:18:52,220 - mmdet - INFO - Epoch [4][6100/7390] lr: 1.000e-02, eta: 8:43:01, time: 0.517, data_time: 0.008, memory: 43098, loss_cls: 8.8328, losses_bboxes: 0.4844, loss: 9.3172 2022-11-02 19:19:18,679 - mmdet - INFO - Epoch [4][6150/7390] lr: 1.000e-02, eta: 8:42:36, time: 0.530, data_time: 0.009, memory: 43098, loss_cls: 8.8324, losses_bboxes: 0.4839, loss: 9.3163 2022-11-02 19:19:44,397 - mmdet - INFO - Epoch [4][6200/7390] lr: 1.000e-02, eta: 8:42:10, time: 0.513, data_time: 0.008, memory: 43098, loss_cls: 8.8334, losses_bboxes: 0.4820, loss: 9.3154 2022-11-02 19:20:10,486 - mmdet - INFO - Epoch [4][6250/7390] lr: 1.000e-02, eta: 8:41:44, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8340, losses_bboxes: 0.4827, loss: 9.3167 2022-11-02 19:20:36,375 - mmdet - INFO - Epoch [4][6300/7390] lr: 1.000e-02, eta: 8:41:18, time: 0.518, data_time: 0.009, memory: 43098, loss_cls: 8.8351, losses_bboxes: 0.4847, loss: 9.3198 2022-11-02 19:21:02,429 - mmdet - INFO - Epoch [4][6350/7390] lr: 1.000e-02, eta: 8:40:52, time: 0.521, data_time: 0.009, memory: 43098, loss_cls: 8.8329, losses_bboxes: 0.4845, loss: 9.3174 2022-11-02 19:21:28,643 - mmdet - INFO - Epoch [4][6400/7390] lr: 1.000e-02, eta: 8:40:27, time: 0.525, data_time: 0.009, memory: 43098, loss_cls: 8.8326, losses_bboxes: 0.4833, loss: 9.3159 2022-11-02 19:21:54,756 - mmdet - INFO - Epoch [4][6450/7390] lr: 1.000e-02, eta: 8:40:01, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8361, losses_bboxes: 0.4846, loss: 9.3206 2022-11-02 19:22:20,755 - mmdet - INFO - Epoch [4][6500/7390] lr: 1.000e-02, eta: 8:39:35, time: 0.517, data_time: 0.008, memory: 43098, loss_cls: 8.8342, losses_bboxes: 0.4848, loss: 9.3191 2022-11-02 19:22:47,117 - mmdet - INFO - Epoch [4][6550/7390] lr: 1.000e-02, eta: 8:39:10, time: 0.530, data_time: 0.010, memory: 43098, loss_cls: 8.8322, losses_bboxes: 0.4835, loss: 9.3157 2022-11-02 19:23:13,441 - mmdet - INFO - Epoch [4][6600/7390] lr: 1.000e-02, eta: 8:38:44, time: 0.525, data_time: 0.008, memory: 43098, loss_cls: 8.8381, losses_bboxes: 0.4838, loss: 9.3219 2022-11-02 19:23:39,578 - mmdet - INFO - Epoch [4][6650/7390] lr: 1.000e-02, eta: 8:38:19, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8366, losses_bboxes: 0.4834, loss: 9.3200 2022-11-02 19:24:05,503 - mmdet - INFO - Epoch [4][6700/7390] lr: 1.000e-02, eta: 8:37:53, time: 0.517, data_time: 0.009, memory: 43098, loss_cls: 8.8327, losses_bboxes: 0.4817, loss: 9.3145 2022-11-02 19:24:31,329 - mmdet - INFO - Epoch [4][6750/7390] lr: 1.000e-02, eta: 8:37:26, time: 0.518, data_time: 0.011, memory: 43098, loss_cls: 8.8338, losses_bboxes: 0.4837, loss: 9.3175 2022-11-02 19:24:57,180 - mmdet - INFO - Epoch [4][6800/7390] lr: 1.000e-02, eta: 8:37:00, time: 0.518, data_time: 0.009, memory: 43098, loss_cls: 8.8362, losses_bboxes: 0.4833, loss: 9.3195 2022-11-02 19:25:22,947 - mmdet - INFO - Epoch [4][6850/7390] lr: 1.000e-02, eta: 8:36:34, time: 0.514, data_time: 0.009, memory: 43098, loss_cls: 8.8326, losses_bboxes: 0.4840, loss: 9.3166 2022-11-02 19:25:48,511 - mmdet - INFO - Epoch [4][6900/7390] lr: 1.000e-02, eta: 8:36:07, time: 0.511, data_time: 0.009, memory: 43098, loss_cls: 8.8347, losses_bboxes: 0.4825, loss: 9.3171 2022-11-02 19:26:14,336 - mmdet - INFO - Epoch [4][6950/7390] lr: 1.000e-02, eta: 8:35:40, time: 0.515, data_time: 0.010, memory: 43098, loss_cls: 8.8351, losses_bboxes: 0.4833, loss: 9.3184 2022-11-02 19:26:40,603 - mmdet - INFO - Epoch [4][7000/7390] lr: 1.000e-02, eta: 8:35:15, time: 0.527, data_time: 0.011, memory: 43098, loss_cls: 8.8341, losses_bboxes: 0.4823, loss: 9.3164 2022-11-02 19:27:06,807 - mmdet - INFO - Epoch [4][7050/7390] lr: 1.000e-02, eta: 8:34:50, time: 0.525, data_time: 0.009, memory: 43098, loss_cls: 8.8361, losses_bboxes: 0.4825, loss: 9.3186 2022-11-02 19:27:32,919 - mmdet - INFO - Epoch [4][7100/7390] lr: 1.000e-02, eta: 8:34:24, time: 0.521, data_time: 0.008, memory: 43098, loss_cls: 8.8358, losses_bboxes: 0.4838, loss: 9.3196 2022-11-02 19:27:59,090 - mmdet - INFO - Epoch [4][7150/7390] lr: 1.000e-02, eta: 8:33:59, time: 0.525, data_time: 0.009, memory: 43098, loss_cls: 8.8354, losses_bboxes: 0.4822, loss: 9.3176 2022-11-02 19:28:24,292 - mmdet - INFO - Epoch [4][7200/7390] lr: 1.000e-02, eta: 8:33:31, time: 0.504, data_time: 0.008, memory: 43098, loss_cls: 8.8351, losses_bboxes: 0.4837, loss: 9.3188 2022-11-02 19:28:50,613 - mmdet - INFO - Epoch [4][7250/7390] lr: 1.000e-02, eta: 8:33:05, time: 0.524, data_time: 0.008, memory: 43098, loss_cls: 8.8295, losses_bboxes: 0.4820, loss: 9.3115 2022-11-02 19:29:16,331 - mmdet - INFO - Epoch [4][7300/7390] lr: 1.000e-02, eta: 8:32:39, time: 0.517, data_time: 0.010, memory: 43098, loss_cls: 8.8393, losses_bboxes: 0.4841, loss: 9.3234 2022-11-02 19:29:42,336 - mmdet - INFO - Epoch [4][7350/7390] lr: 1.000e-02, eta: 8:32:13, time: 0.519, data_time: 0.008, memory: 43098, loss_cls: 8.8324, losses_bboxes: 0.4832, loss: 9.3155 2022-11-02 19:30:03,005 - mmdet - INFO - Saving checkpoint at 4 epochs 2022-11-02 19:30:32,526 - mmdet - INFO - Epoch [5][50/7390] lr: 1.000e-02, eta: 8:30:50, time: 0.569, data_time: 0.067, memory: 43098, loss_cls: 8.8302, losses_bboxes: 0.4823, loss: 9.3126 2022-11-02 19:30:58,470 - mmdet - INFO - Epoch [5][100/7390] lr: 1.000e-02, eta: 8:30:24, time: 0.520, data_time: 0.009, memory: 43098, loss_cls: 8.8359, losses_bboxes: 0.4825, loss: 9.3184 2022-11-02 19:31:23,814 - mmdet - INFO - Epoch [5][150/7390] lr: 1.000e-02, eta: 8:29:57, time: 0.507, data_time: 0.008, memory: 43098, loss_cls: 8.8330, losses_bboxes: 0.4827, loss: 9.3157 2022-11-02 19:31:49,546 - mmdet - INFO - Epoch [5][200/7390] lr: 1.000e-02, eta: 8:29:30, time: 0.513, data_time: 0.008, memory: 43098, loss_cls: 8.8315, losses_bboxes: 0.4820, loss: 9.3135 2022-11-02 19:32:15,832 - mmdet - INFO - Epoch [5][250/7390] lr: 1.000e-02, eta: 8:29:05, time: 0.527, data_time: 0.010, memory: 43098, loss_cls: 8.8357, losses_bboxes: 0.4845, loss: 9.3201 2022-11-02 19:32:41,733 - mmdet - INFO - Epoch [5][300/7390] lr: 1.000e-02, eta: 8:28:39, time: 0.518, data_time: 0.009, memory: 43098, loss_cls: 8.8370, losses_bboxes: 0.4839, loss: 9.3209 2022-11-02 19:33:07,581 - mmdet - INFO - Epoch [5][350/7390] lr: 1.000e-02, eta: 8:28:13, time: 0.518, data_time: 0.008, memory: 43098, loss_cls: 8.8368, losses_bboxes: 0.4829, loss: 9.3197 2022-11-02 19:33:33,774 - mmdet - INFO - Epoch [5][400/7390] lr: 1.000e-02, eta: 8:27:48, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8360, losses_bboxes: 0.4834, loss: 9.3193 2022-11-02 19:34:00,193 - mmdet - INFO - Epoch [5][450/7390] lr: 1.000e-02, eta: 8:27:23, time: 0.528, data_time: 0.010, memory: 43098, loss_cls: 8.8365, losses_bboxes: 0.4820, loss: 9.3185 2022-11-02 19:34:26,037 - mmdet - INFO - Epoch [5][500/7390] lr: 1.000e-02, eta: 8:26:57, time: 0.519, data_time: 0.010, memory: 43098, loss_cls: 8.8357, losses_bboxes: 0.4841, loss: 9.3198 2022-11-02 19:34:52,192 - mmdet - INFO - Epoch [5][550/7390] lr: 1.000e-02, eta: 8:26:31, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8307, losses_bboxes: 0.4819, loss: 9.3127 2022-11-02 19:35:18,612 - mmdet - INFO - Epoch [5][600/7390] lr: 1.000e-02, eta: 8:26:06, time: 0.528, data_time: 0.009, memory: 43098, loss_cls: 8.8327, losses_bboxes: 0.4819, loss: 9.3146 2022-11-02 19:35:44,691 - mmdet - INFO - Epoch [5][650/7390] lr: 1.000e-02, eta: 8:25:40, time: 0.523, data_time: 0.009, memory: 43098, loss_cls: 8.8385, losses_bboxes: 0.4838, loss: 9.3223 2022-11-02 19:36:10,902 - mmdet - INFO - Epoch [5][700/7390] lr: 1.000e-02, eta: 8:25:15, time: 0.523, data_time: 0.007, memory: 43098, loss_cls: 8.8374, losses_bboxes: 0.4825, loss: 9.3199 2022-11-02 19:36:36,404 - mmdet - INFO - Epoch [5][750/7390] lr: 1.000e-02, eta: 8:24:48, time: 0.511, data_time: 0.009, memory: 43098, loss_cls: 8.8392, losses_bboxes: 0.4839, loss: 9.3231 2022-11-02 19:37:02,715 - mmdet - INFO - Epoch [5][800/7390] lr: 1.000e-02, eta: 8:24:23, time: 0.525, data_time: 0.008, memory: 43098, loss_cls: 8.8350, losses_bboxes: 0.4825, loss: 9.3176 2022-11-02 19:37:28,943 - mmdet - INFO - Epoch [5][850/7390] lr: 1.000e-02, eta: 8:23:57, time: 0.524, data_time: 0.009, memory: 43098, loss_cls: 8.8298, losses_bboxes: 0.4806, loss: 9.3104 2022-11-02 19:37:55,039 - mmdet - INFO - Epoch [5][900/7390] lr: 1.000e-02, eta: 8:23:32, time: 0.524, data_time: 0.010, memory: 43098, loss_cls: 8.8334, losses_bboxes: 0.4821, loss: 9.3155 2022-11-02 19:38:20,816 - mmdet - INFO - Epoch [5][950/7390] lr: 1.000e-02, eta: 8:23:05, time: 0.514, data_time: 0.008, memory: 43098, loss_cls: 8.8380, losses_bboxes: 0.4819, loss: 9.3198 2022-11-02 19:38:47,080 - mmdet - INFO - Epoch [5][1000/7390] lr: 1.000e-02, eta: 8:22:40, time: 0.527, data_time: 0.009, memory: 43098, loss_cls: 8.8372, losses_bboxes: 0.4837, loss: 9.3209 2022-11-02 19:39:13,061 - mmdet - INFO - Epoch [5][1050/7390] lr: 1.000e-02, eta: 8:22:14, time: 0.520, data_time: 0.007, memory: 43098, loss_cls: 8.8341, losses_bboxes: 0.4829, loss: 9.3170 2022-11-02 19:39:39,149 - mmdet - INFO - Epoch [5][1100/7390] lr: 1.000e-02, eta: 8:21:48, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8338, losses_bboxes: 0.4815, loss: 9.3154 2022-11-02 19:40:05,250 - mmdet - INFO - Epoch [5][1150/7390] lr: 1.000e-02, eta: 8:21:23, time: 0.523, data_time: 0.009, memory: 43098, loss_cls: 8.8297, losses_bboxes: 0.4832, loss: 9.3129 2022-11-02 19:40:31,091 - mmdet - INFO - Epoch [5][1200/7390] lr: 1.000e-02, eta: 8:20:57, time: 0.516, data_time: 0.009, memory: 43098, loss_cls: 8.8325, losses_bboxes: 0.4818, loss: 9.3143 2022-11-02 19:40:57,189 - mmdet - INFO - Epoch [5][1250/7390] lr: 1.000e-02, eta: 8:20:31, time: 0.523, data_time: 0.009, memory: 43098, loss_cls: 8.8355, losses_bboxes: 0.4828, loss: 9.3183 2022-11-02 19:41:23,323 - mmdet - INFO - Epoch [5][1300/7390] lr: 1.000e-02, eta: 8:20:06, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8334, losses_bboxes: 0.4822, loss: 9.3156 2022-11-02 19:41:51,054 - mmdet - INFO - Epoch [5][1350/7390] lr: 1.000e-02, eta: 8:19:43, time: 0.554, data_time: 0.008, memory: 43098, loss_cls: 8.8365, losses_bboxes: 0.4827, loss: 9.3192 2022-11-02 19:42:17,154 - mmdet - INFO - Epoch [5][1400/7390] lr: 1.000e-02, eta: 8:19:17, time: 0.521, data_time: 0.008, memory: 43098, loss_cls: 8.8351, losses_bboxes: 0.4841, loss: 9.3192 2022-11-02 19:42:45,653 - mmdet - INFO - Epoch [5][1450/7390] lr: 1.000e-02, eta: 8:18:56, time: 0.572, data_time: 0.009, memory: 43098, loss_cls: 8.8383, losses_bboxes: 0.4820, loss: 9.3203 2022-11-02 19:43:14,074 - mmdet - INFO - Epoch [5][1500/7390] lr: 1.000e-02, eta: 8:18:35, time: 0.568, data_time: 0.007, memory: 43098, loss_cls: 8.8335, losses_bboxes: 0.4828, loss: 9.3163 2022-11-02 19:43:42,691 - mmdet - INFO - Epoch [5][1550/7390] lr: 1.000e-02, eta: 8:18:14, time: 0.572, data_time: 0.008, memory: 43098, loss_cls: 8.8360, losses_bboxes: 0.4823, loss: 9.3183 2022-11-02 19:44:08,251 - mmdet - INFO - Epoch [5][1600/7390] lr: 1.000e-02, eta: 8:17:47, time: 0.511, data_time: 0.008, memory: 43098, loss_cls: 8.8362, losses_bboxes: 0.4835, loss: 9.3196 2022-11-02 19:44:35,799 - mmdet - INFO - Epoch [5][1650/7390] lr: 1.000e-02, eta: 8:17:24, time: 0.550, data_time: 0.008, memory: 43098, loss_cls: 8.8340, losses_bboxes: 0.4804, loss: 9.3144 2022-11-02 19:45:01,941 - mmdet - INFO - Epoch [5][1700/7390] lr: 1.000e-02, eta: 8:16:58, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8320, losses_bboxes: 0.4823, loss: 9.3143 2022-11-02 19:45:30,190 - mmdet - INFO - Epoch [5][1750/7390] lr: 1.000e-02, eta: 8:16:37, time: 0.568, data_time: 0.010, memory: 43098, loss_cls: 8.8365, losses_bboxes: 0.4825, loss: 9.3190 2022-11-02 19:46:00,626 - mmdet - INFO - Epoch [5][1800/7390] lr: 1.000e-02, eta: 8:16:19, time: 0.609, data_time: 0.007, memory: 43098, loss_cls: 8.8370, losses_bboxes: 0.4813, loss: 9.3182 2022-11-02 19:46:26,297 - mmdet - INFO - Epoch [5][1850/7390] lr: 1.000e-02, eta: 8:15:52, time: 0.511, data_time: 0.007, memory: 43098, loss_cls: 8.8367, losses_bboxes: 0.4808, loss: 9.3175 2022-11-02 19:46:51,977 - mmdet - INFO - Epoch [5][1900/7390] lr: 1.000e-02, eta: 8:15:26, time: 0.516, data_time: 0.010, memory: 43098, loss_cls: 8.8369, losses_bboxes: 0.4815, loss: 9.3183 2022-11-02 19:47:17,370 - mmdet - INFO - Epoch [5][1950/7390] lr: 1.000e-02, eta: 8:14:59, time: 0.507, data_time: 0.007, memory: 43098, loss_cls: 8.8328, losses_bboxes: 0.4814, loss: 9.3142 2022-11-02 19:47:43,395 - mmdet - INFO - Epoch [5][2000/7390] lr: 1.000e-02, eta: 8:14:33, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8365, losses_bboxes: 0.4836, loss: 9.3201 2022-11-02 19:48:09,472 - mmdet - INFO - Epoch [5][2050/7390] lr: 1.000e-02, eta: 8:14:07, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8360, losses_bboxes: 0.4809, loss: 9.3168 2022-11-02 19:48:35,055 - mmdet - INFO - Epoch [5][2100/7390] lr: 1.000e-02, eta: 8:13:40, time: 0.511, data_time: 0.008, memory: 43098, loss_cls: 8.8333, losses_bboxes: 0.4838, loss: 9.3171 2022-11-02 19:49:01,262 - mmdet - INFO - Epoch [5][2150/7390] lr: 1.000e-02, eta: 8:13:15, time: 0.525, data_time: 0.008, memory: 43098, loss_cls: 8.8347, losses_bboxes: 0.4827, loss: 9.3175 2022-11-02 19:49:26,975 - mmdet - INFO - Epoch [5][2200/7390] lr: 1.000e-02, eta: 8:12:48, time: 0.513, data_time: 0.008, memory: 43098, loss_cls: 8.8365, losses_bboxes: 0.4828, loss: 9.3194 2022-11-02 19:49:53,195 - mmdet - INFO - Epoch [5][2250/7390] lr: 1.000e-02, eta: 8:12:23, time: 0.526, data_time: 0.009, memory: 43098, loss_cls: 8.8320, losses_bboxes: 0.4841, loss: 9.3161 2022-11-02 19:50:18,960 - mmdet - INFO - Epoch [5][2300/7390] lr: 1.000e-02, eta: 8:11:56, time: 0.516, data_time: 0.008, memory: 43098, loss_cls: 8.8375, losses_bboxes: 0.4830, loss: 9.3205 2022-11-02 19:50:44,417 - mmdet - INFO - Epoch [5][2350/7390] lr: 1.000e-02, eta: 8:11:29, time: 0.508, data_time: 0.008, memory: 43098, loss_cls: 8.8335, losses_bboxes: 0.4816, loss: 9.3151 2022-11-02 19:51:10,399 - mmdet - INFO - Epoch [5][2400/7390] lr: 1.000e-02, eta: 8:11:04, time: 0.521, data_time: 0.008, memory: 43098, loss_cls: 8.8345, losses_bboxes: 0.4826, loss: 9.3172 2022-11-02 19:51:36,966 - mmdet - INFO - Epoch [5][2450/7390] lr: 1.000e-02, eta: 8:10:38, time: 0.530, data_time: 0.008, memory: 43098, loss_cls: 8.8345, losses_bboxes: 0.4827, loss: 9.3171 2022-11-02 19:52:03,138 - mmdet - INFO - Epoch [5][2500/7390] lr: 1.000e-02, eta: 8:10:13, time: 0.524, data_time: 0.009, memory: 43098, loss_cls: 8.8346, losses_bboxes: 0.4820, loss: 9.3167 2022-11-02 19:52:29,218 - mmdet - INFO - Epoch [5][2550/7390] lr: 1.000e-02, eta: 8:09:47, time: 0.523, data_time: 0.008, memory: 43098, loss_cls: 8.8326, losses_bboxes: 0.4818, loss: 9.3143 2022-11-02 19:52:55,366 - mmdet - INFO - Epoch [5][2600/7390] lr: 1.000e-02, eta: 8:09:21, time: 0.521, data_time: 0.008, memory: 43098, loss_cls: 8.8367, losses_bboxes: 0.4798, loss: 9.3165 2022-11-02 19:53:21,315 - mmdet - INFO - Epoch [5][2650/7390] lr: 1.000e-02, eta: 8:08:55, time: 0.520, data_time: 0.010, memory: 43098, loss_cls: 8.8349, losses_bboxes: 0.4813, loss: 9.3162 2022-11-02 19:53:47,657 - mmdet - INFO - Epoch [5][2700/7390] lr: 1.000e-02, eta: 8:08:30, time: 0.528, data_time: 0.009, memory: 43098, loss_cls: 8.8337, losses_bboxes: 0.4810, loss: 9.3147 2022-11-02 19:54:13,793 - mmdet - INFO - Epoch [5][2750/7390] lr: 1.000e-02, eta: 8:08:04, time: 0.523, data_time: 0.008, memory: 43098, loss_cls: 8.8339, losses_bboxes: 0.4817, loss: 9.3155 2022-11-02 19:54:39,419 - mmdet - INFO - Epoch [5][2800/7390] lr: 1.000e-02, eta: 8:07:38, time: 0.512, data_time: 0.008, memory: 43098, loss_cls: 8.8342, losses_bboxes: 0.4813, loss: 9.3155 2022-11-02 19:55:05,460 - mmdet - INFO - Epoch [5][2850/7390] lr: 1.000e-02, eta: 8:07:12, time: 0.521, data_time: 0.008, memory: 43098, loss_cls: 8.8340, losses_bboxes: 0.4817, loss: 9.3157 2022-11-02 19:55:31,137 - mmdet - INFO - Epoch [5][2900/7390] lr: 1.000e-02, eta: 8:06:45, time: 0.514, data_time: 0.008, memory: 43098, loss_cls: 8.8354, losses_bboxes: 0.4833, loss: 9.3186 2022-11-02 19:55:57,157 - mmdet - INFO - Epoch [5][2950/7390] lr: 1.000e-02, eta: 8:06:20, time: 0.521, data_time: 0.009, memory: 43098, loss_cls: 8.8307, losses_bboxes: 0.4814, loss: 9.3121 2022-11-02 19:56:23,333 - mmdet - INFO - Epoch [5][3000/7390] lr: 1.000e-02, eta: 8:05:54, time: 0.523, data_time: 0.008, memory: 43098, loss_cls: 8.8338, losses_bboxes: 0.4812, loss: 9.3151 2022-11-02 19:56:49,103 - mmdet - INFO - Epoch [5][3050/7390] lr: 1.000e-02, eta: 8:05:28, time: 0.516, data_time: 0.009, memory: 43098, loss_cls: 8.8329, losses_bboxes: 0.4839, loss: 9.3168 2022-11-02 19:57:14,893 - mmdet - INFO - Epoch [5][3100/7390] lr: 1.000e-02, eta: 8:05:01, time: 0.516, data_time: 0.008, memory: 43098, loss_cls: 8.8350, losses_bboxes: 0.4812, loss: 9.3162 2022-11-02 19:57:41,054 - mmdet - INFO - Epoch [5][3150/7390] lr: 1.000e-02, eta: 8:04:36, time: 0.524, data_time: 0.008, memory: 43098, loss_cls: 8.8327, losses_bboxes: 0.4821, loss: 9.3148 2022-11-02 19:58:07,155 - mmdet - INFO - Epoch [5][3200/7390] lr: 1.000e-02, eta: 8:04:10, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8332, losses_bboxes: 0.4827, loss: 9.3159 2022-11-02 19:58:32,623 - mmdet - INFO - Epoch [5][3250/7390] lr: 1.000e-02, eta: 8:03:43, time: 0.508, data_time: 0.008, memory: 43098, loss_cls: 8.8350, losses_bboxes: 0.4821, loss: 9.3171 2022-11-02 19:58:58,555 - mmdet - INFO - Epoch [5][3300/7390] lr: 1.000e-02, eta: 8:03:17, time: 0.520, data_time: 0.010, memory: 43098, loss_cls: 8.8325, losses_bboxes: 0.4810, loss: 9.3135 2022-11-02 19:59:24,651 - mmdet - INFO - Epoch [5][3350/7390] lr: 1.000e-02, eta: 8:02:51, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8358, losses_bboxes: 0.4804, loss: 9.3162 2022-11-02 19:59:50,553 - mmdet - INFO - Epoch [5][3400/7390] lr: 1.000e-02, eta: 8:02:25, time: 0.517, data_time: 0.008, memory: 43098, loss_cls: 8.8339, losses_bboxes: 0.4820, loss: 9.3158 2022-11-02 20:00:17,022 - mmdet - INFO - Epoch [5][3450/7390] lr: 1.000e-02, eta: 8:02:00, time: 0.531, data_time: 0.009, memory: 43098, loss_cls: 8.8344, losses_bboxes: 0.4834, loss: 9.3178 2022-11-02 20:00:42,851 - mmdet - INFO - Epoch [5][3500/7390] lr: 1.000e-02, eta: 8:01:34, time: 0.515, data_time: 0.008, memory: 43098, loss_cls: 8.8316, losses_bboxes: 0.4824, loss: 9.3141 2022-11-02 20:01:09,109 - mmdet - INFO - Epoch [5][3550/7390] lr: 1.000e-02, eta: 8:01:08, time: 0.525, data_time: 0.010, memory: 43098, loss_cls: 8.8300, losses_bboxes: 0.4813, loss: 9.3114 2022-11-02 20:01:35,394 - mmdet - INFO - Epoch [5][3600/7390] lr: 1.000e-02, eta: 8:00:43, time: 0.528, data_time: 0.010, memory: 43098, loss_cls: 8.8322, losses_bboxes: 0.4827, loss: 9.3149 2022-11-02 20:02:01,595 - mmdet - INFO - Epoch [5][3650/7390] lr: 1.000e-02, eta: 8:00:17, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8366, losses_bboxes: 0.4826, loss: 9.3192 2022-11-02 20:02:27,449 - mmdet - INFO - Epoch [5][3700/7390] lr: 1.000e-02, eta: 7:59:51, time: 0.518, data_time: 0.010, memory: 43098, loss_cls: 8.8363, losses_bboxes: 0.4803, loss: 9.3166 2022-11-02 20:02:53,448 - mmdet - INFO - Epoch [5][3750/7390] lr: 1.000e-02, eta: 7:59:25, time: 0.520, data_time: 0.009, memory: 43098, loss_cls: 8.8318, losses_bboxes: 0.4805, loss: 9.3122 2022-11-02 20:03:19,362 - mmdet - INFO - Epoch [5][3800/7390] lr: 1.000e-02, eta: 7:58:59, time: 0.518, data_time: 0.008, memory: 43098, loss_cls: 8.8306, losses_bboxes: 0.4823, loss: 9.3128 2022-11-02 20:03:45,056 - mmdet - INFO - Epoch [5][3850/7390] lr: 1.000e-02, eta: 7:58:33, time: 0.513, data_time: 0.009, memory: 43098, loss_cls: 8.8323, losses_bboxes: 0.4806, loss: 9.3129 2022-11-02 20:04:11,370 - mmdet - INFO - Epoch [5][3900/7390] lr: 1.000e-02, eta: 7:58:07, time: 0.528, data_time: 0.010, memory: 43098, loss_cls: 8.8356, losses_bboxes: 0.4816, loss: 9.3172 2022-11-02 20:04:37,484 - mmdet - INFO - Epoch [5][3950/7390] lr: 1.000e-02, eta: 7:57:41, time: 0.522, data_time: 0.007, memory: 43098, loss_cls: 8.8323, losses_bboxes: 0.4823, loss: 9.3146 2022-11-02 20:05:03,761 - mmdet - INFO - Epoch [5][4000/7390] lr: 1.000e-02, eta: 7:57:16, time: 0.525, data_time: 0.008, memory: 43098, loss_cls: 8.8310, losses_bboxes: 0.4827, loss: 9.3137 2022-11-02 20:05:30,056 - mmdet - INFO - Epoch [5][4050/7390] lr: 1.000e-02, eta: 7:56:50, time: 0.524, data_time: 0.008, memory: 43098, loss_cls: 8.8332, losses_bboxes: 0.4799, loss: 9.3131 2022-11-02 20:05:56,418 - mmdet - INFO - Epoch [5][4100/7390] lr: 1.000e-02, eta: 7:56:25, time: 0.528, data_time: 0.010, memory: 43098, loss_cls: 8.8345, losses_bboxes: 0.4819, loss: 9.3164 2022-11-02 20:06:22,404 - mmdet - INFO - Epoch [5][4150/7390] lr: 1.000e-02, eta: 7:55:59, time: 0.520, data_time: 0.009, memory: 43098, loss_cls: 8.8356, losses_bboxes: 0.4806, loss: 9.3162 2022-11-02 20:06:48,816 - mmdet - INFO - Epoch [5][4200/7390] lr: 1.000e-02, eta: 7:55:34, time: 0.529, data_time: 0.009, memory: 43098, loss_cls: 8.8316, losses_bboxes: 0.4810, loss: 9.3125 2022-11-02 20:07:14,204 - mmdet - INFO - Epoch [5][4250/7390] lr: 1.000e-02, eta: 7:55:07, time: 0.508, data_time: 0.008, memory: 43098, loss_cls: 8.8327, losses_bboxes: 0.4809, loss: 9.3136 2022-11-02 20:07:40,522 - mmdet - INFO - Epoch [5][4300/7390] lr: 1.000e-02, eta: 7:54:41, time: 0.524, data_time: 0.008, memory: 43098, loss_cls: 8.8354, losses_bboxes: 0.4834, loss: 9.3188 2022-11-02 20:08:06,481 - mmdet - INFO - Epoch [5][4350/7390] lr: 1.000e-02, eta: 7:54:15, time: 0.519, data_time: 0.010, memory: 43098, loss_cls: 8.8376, losses_bboxes: 0.4811, loss: 9.3187 2022-11-02 20:08:32,006 - mmdet - INFO - Epoch [5][4400/7390] lr: 1.000e-02, eta: 7:53:49, time: 0.513, data_time: 0.011, memory: 43098, loss_cls: 8.8328, losses_bboxes: 0.4795, loss: 9.3123 2022-11-02 20:08:57,926 - mmdet - INFO - Epoch [5][4450/7390] lr: 1.000e-02, eta: 7:53:23, time: 0.519, data_time: 0.008, memory: 43098, loss_cls: 8.8314, losses_bboxes: 0.4809, loss: 9.3123 2022-11-02 20:09:23,891 - mmdet - INFO - Epoch [5][4500/7390] lr: 1.000e-02, eta: 7:52:57, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8353, losses_bboxes: 0.4806, loss: 9.3159 2022-11-02 20:09:49,899 - mmdet - INFO - Epoch [5][4550/7390] lr: 1.000e-02, eta: 7:52:31, time: 0.519, data_time: 0.008, memory: 43098, loss_cls: 8.8336, losses_bboxes: 0.4794, loss: 9.3131 2022-11-02 20:10:16,153 - mmdet - INFO - Epoch [5][4600/7390] lr: 1.000e-02, eta: 7:52:05, time: 0.526, data_time: 0.009, memory: 43098, loss_cls: 8.8368, losses_bboxes: 0.4831, loss: 9.3199 2022-11-02 20:10:42,516 - mmdet - INFO - Epoch [5][4650/7390] lr: 1.000e-02, eta: 7:51:40, time: 0.528, data_time: 0.008, memory: 43098, loss_cls: 8.8353, losses_bboxes: 0.4814, loss: 9.3166 2022-11-02 20:11:08,888 - mmdet - INFO - Epoch [5][4700/7390] lr: 1.000e-02, eta: 7:51:15, time: 0.526, data_time: 0.008, memory: 43098, loss_cls: 8.8311, losses_bboxes: 0.4818, loss: 9.3129 2022-11-02 20:11:35,536 - mmdet - INFO - Epoch [5][4750/7390] lr: 1.000e-02, eta: 7:50:50, time: 0.533, data_time: 0.010, memory: 43098, loss_cls: 8.8347, losses_bboxes: 0.4829, loss: 9.3175 2022-11-02 20:12:01,107 - mmdet - INFO - Epoch [5][4800/7390] lr: 1.000e-02, eta: 7:50:23, time: 0.511, data_time: 0.009, memory: 43098, loss_cls: 8.8352, losses_bboxes: 0.4806, loss: 9.3158 2022-11-02 20:12:27,102 - mmdet - INFO - Epoch [5][4850/7390] lr: 1.000e-02, eta: 7:49:57, time: 0.522, data_time: 0.010, memory: 43098, loss_cls: 8.8336, losses_bboxes: 0.4798, loss: 9.3134 2022-11-02 20:12:53,533 - mmdet - INFO - Epoch [5][4900/7390] lr: 1.000e-02, eta: 7:49:32, time: 0.526, data_time: 0.008, memory: 43098, loss_cls: 8.8339, losses_bboxes: 0.4813, loss: 9.3152 2022-11-02 20:13:19,462 - mmdet - INFO - Epoch [5][4950/7390] lr: 1.000e-02, eta: 7:49:06, time: 0.521, data_time: 0.010, memory: 43098, loss_cls: 8.8315, losses_bboxes: 0.4811, loss: 9.3126 2022-11-02 20:13:45,918 - mmdet - INFO - Epoch [5][5000/7390] lr: 1.000e-02, eta: 7:48:41, time: 0.530, data_time: 0.008, memory: 43098, loss_cls: 8.8348, losses_bboxes: 0.4795, loss: 9.3142 2022-11-02 20:14:12,121 - mmdet - INFO - Epoch [5][5050/7390] lr: 1.000e-02, eta: 7:48:15, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8334, losses_bboxes: 0.4828, loss: 9.3162 2022-11-02 20:14:37,866 - mmdet - INFO - Epoch [5][5100/7390] lr: 1.000e-02, eta: 7:47:48, time: 0.515, data_time: 0.010, memory: 43098, loss_cls: 8.8337, losses_bboxes: 0.4799, loss: 9.3136 2022-11-02 20:15:04,055 - mmdet - INFO - Epoch [5][5150/7390] lr: 1.000e-02, eta: 7:47:23, time: 0.523, data_time: 0.010, memory: 43098, loss_cls: 8.8346, losses_bboxes: 0.4809, loss: 9.3156 2022-11-02 20:15:30,543 - mmdet - INFO - Epoch [5][5200/7390] lr: 1.000e-02, eta: 7:46:58, time: 0.532, data_time: 0.010, memory: 43098, loss_cls: 8.8362, losses_bboxes: 0.4835, loss: 9.3197 2022-11-02 20:15:56,495 - mmdet - INFO - Epoch [5][5250/7390] lr: 1.000e-02, eta: 7:46:32, time: 0.518, data_time: 0.008, memory: 43098, loss_cls: 8.8346, losses_bboxes: 0.4798, loss: 9.3144 2022-11-02 20:16:22,601 - mmdet - INFO - Epoch [5][5300/7390] lr: 1.000e-02, eta: 7:46:06, time: 0.523, data_time: 0.009, memory: 43098, loss_cls: 8.8331, losses_bboxes: 0.4805, loss: 9.3136 2022-11-02 20:16:48,817 - mmdet - INFO - Epoch [5][5350/7390] lr: 1.000e-02, eta: 7:45:40, time: 0.523, data_time: 0.008, memory: 43098, loss_cls: 8.8362, losses_bboxes: 0.4816, loss: 9.3178 2022-11-02 20:17:14,195 - mmdet - INFO - Epoch [5][5400/7390] lr: 1.000e-02, eta: 7:45:13, time: 0.507, data_time: 0.008, memory: 43098, loss_cls: 8.8274, losses_bboxes: 0.4801, loss: 9.3076 2022-11-02 20:17:40,310 - mmdet - INFO - Epoch [5][5450/7390] lr: 1.000e-02, eta: 7:44:48, time: 0.523, data_time: 0.009, memory: 43098, loss_cls: 8.8329, losses_bboxes: 0.4804, loss: 9.3133 2022-11-02 20:18:06,102 - mmdet - INFO - Epoch [5][5500/7390] lr: 1.000e-02, eta: 7:44:21, time: 0.517, data_time: 0.009, memory: 43098, loss_cls: 8.8339, losses_bboxes: 0.4811, loss: 9.3151 2022-11-02 20:18:31,841 - mmdet - INFO - Epoch [5][5550/7390] lr: 1.000e-02, eta: 7:43:55, time: 0.514, data_time: 0.008, memory: 43098, loss_cls: 8.8355, losses_bboxes: 0.4808, loss: 9.3163 2022-11-02 20:18:57,614 - mmdet - INFO - Epoch [5][5600/7390] lr: 1.000e-02, eta: 7:43:29, time: 0.516, data_time: 0.008, memory: 43098, loss_cls: 8.8330, losses_bboxes: 0.4803, loss: 9.3134 2022-11-02 20:19:23,701 - mmdet - INFO - Epoch [5][5650/7390] lr: 1.000e-02, eta: 7:43:03, time: 0.519, data_time: 0.008, memory: 43098, loss_cls: 8.8317, losses_bboxes: 0.4822, loss: 9.3139 2022-11-02 20:19:49,608 - mmdet - INFO - Epoch [5][5700/7390] lr: 1.000e-02, eta: 7:42:37, time: 0.520, data_time: 0.010, memory: 43098, loss_cls: 8.8340, losses_bboxes: 0.4807, loss: 9.3146 2022-11-02 20:20:16,032 - mmdet - INFO - Epoch [5][5750/7390] lr: 1.000e-02, eta: 7:42:11, time: 0.529, data_time: 0.009, memory: 43098, loss_cls: 8.8358, losses_bboxes: 0.4807, loss: 9.3165 2022-11-02 20:20:41,760 - mmdet - INFO - Epoch [5][5800/7390] lr: 1.000e-02, eta: 7:41:45, time: 0.513, data_time: 0.008, memory: 43098, loss_cls: 8.8308, losses_bboxes: 0.4793, loss: 9.3102 2022-11-02 20:21:07,835 - mmdet - INFO - Epoch [5][5850/7390] lr: 1.000e-02, eta: 7:41:19, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8360, losses_bboxes: 0.4806, loss: 9.3166 2022-11-02 20:21:33,900 - mmdet - INFO - Epoch [5][5900/7390] lr: 1.000e-02, eta: 7:40:53, time: 0.523, data_time: 0.009, memory: 43098, loss_cls: 8.8336, losses_bboxes: 0.4809, loss: 9.3145 2022-11-02 20:21:59,744 - mmdet - INFO - Epoch [5][5950/7390] lr: 1.000e-02, eta: 7:40:27, time: 0.516, data_time: 0.008, memory: 43098, loss_cls: 8.8344, losses_bboxes: 0.4817, loss: 9.3161 2022-11-02 20:22:25,720 - mmdet - INFO - Epoch [5][6000/7390] lr: 1.000e-02, eta: 7:40:01, time: 0.518, data_time: 0.008, memory: 43098, loss_cls: 8.8331, losses_bboxes: 0.4802, loss: 9.3133 2022-11-02 20:22:51,741 - mmdet - INFO - Epoch [5][6050/7390] lr: 1.000e-02, eta: 7:39:35, time: 0.522, data_time: 0.010, memory: 43098, loss_cls: 8.8351, losses_bboxes: 0.4809, loss: 9.3160 2022-11-02 20:23:17,425 - mmdet - INFO - Epoch [5][6100/7390] lr: 1.000e-02, eta: 7:39:09, time: 0.514, data_time: 0.008, memory: 43098, loss_cls: 8.8333, losses_bboxes: 0.4794, loss: 9.3127 2022-11-02 20:23:43,198 - mmdet - INFO - Epoch [5][6150/7390] lr: 1.000e-02, eta: 7:38:43, time: 0.515, data_time: 0.008, memory: 43098, loss_cls: 8.8349, losses_bboxes: 0.4788, loss: 9.3138 2022-11-02 20:24:09,386 - mmdet - INFO - Epoch [5][6200/7390] lr: 1.000e-02, eta: 7:38:17, time: 0.524, data_time: 0.009, memory: 43098, loss_cls: 8.8358, losses_bboxes: 0.4804, loss: 9.3161 2022-11-02 20:24:35,514 - mmdet - INFO - Epoch [5][6250/7390] lr: 1.000e-02, eta: 7:37:51, time: 0.523, data_time: 0.008, memory: 43098, loss_cls: 8.8344, losses_bboxes: 0.4819, loss: 9.3163 2022-11-02 20:25:01,767 - mmdet - INFO - Epoch [5][6300/7390] lr: 1.000e-02, eta: 7:37:26, time: 0.524, data_time: 0.008, memory: 43098, loss_cls: 8.8347, losses_bboxes: 0.4798, loss: 9.3146 2022-11-02 20:25:27,389 - mmdet - INFO - Epoch [5][6350/7390] lr: 1.000e-02, eta: 7:36:59, time: 0.513, data_time: 0.009, memory: 43098, loss_cls: 8.8345, losses_bboxes: 0.4792, loss: 9.3137 2022-11-02 20:25:53,061 - mmdet - INFO - Epoch [5][6400/7390] lr: 1.000e-02, eta: 7:36:33, time: 0.514, data_time: 0.008, memory: 43098, loss_cls: 8.8360, losses_bboxes: 0.4798, loss: 9.3159 2022-11-02 20:26:18,762 - mmdet - INFO - Epoch [5][6450/7390] lr: 1.000e-02, eta: 7:36:06, time: 0.514, data_time: 0.008, memory: 43098, loss_cls: 8.8324, losses_bboxes: 0.4816, loss: 9.3140 2022-11-02 20:26:45,044 - mmdet - INFO - Epoch [5][6500/7390] lr: 1.000e-02, eta: 7:35:41, time: 0.525, data_time: 0.008, memory: 43098, loss_cls: 8.8327, losses_bboxes: 0.4808, loss: 9.3135 2022-11-02 20:27:10,791 - mmdet - INFO - Epoch [5][6550/7390] lr: 1.000e-02, eta: 7:35:14, time: 0.517, data_time: 0.009, memory: 43098, loss_cls: 8.8359, losses_bboxes: 0.4812, loss: 9.3171 2022-11-02 20:27:36,995 - mmdet - INFO - Epoch [5][6600/7390] lr: 1.000e-02, eta: 7:34:49, time: 0.524, data_time: 0.007, memory: 43098, loss_cls: 8.8349, losses_bboxes: 0.4815, loss: 9.3165 2022-11-02 20:28:03,089 - mmdet - INFO - Epoch [5][6650/7390] lr: 1.000e-02, eta: 7:34:23, time: 0.521, data_time: 0.007, memory: 43098, loss_cls: 8.8364, losses_bboxes: 0.4817, loss: 9.3180 2022-11-02 20:28:28,553 - mmdet - INFO - Epoch [5][6700/7390] lr: 1.000e-02, eta: 7:33:56, time: 0.509, data_time: 0.009, memory: 43098, loss_cls: 8.8363, losses_bboxes: 0.4806, loss: 9.3169 2022-11-02 20:28:54,468 - mmdet - INFO - Epoch [5][6750/7390] lr: 1.000e-02, eta: 7:33:30, time: 0.517, data_time: 0.009, memory: 43098, loss_cls: 8.8347, losses_bboxes: 0.4801, loss: 9.3148 2022-11-02 20:29:20,689 - mmdet - INFO - Epoch [5][6800/7390] lr: 1.000e-02, eta: 7:33:04, time: 0.526, data_time: 0.011, memory: 43098, loss_cls: 8.8335, losses_bboxes: 0.4811, loss: 9.3145 2022-11-02 20:29:46,574 - mmdet - INFO - Epoch [5][6850/7390] lr: 1.000e-02, eta: 7:32:38, time: 0.517, data_time: 0.010, memory: 43098, loss_cls: 8.8360, losses_bboxes: 0.4799, loss: 9.3159 2022-11-02 20:30:12,341 - mmdet - INFO - Epoch [5][6900/7390] lr: 1.000e-02, eta: 7:32:12, time: 0.518, data_time: 0.011, memory: 43098, loss_cls: 8.8326, losses_bboxes: 0.4798, loss: 9.3124 2022-11-02 20:30:38,469 - mmdet - INFO - Epoch [5][6950/7390] lr: 1.000e-02, eta: 7:31:46, time: 0.521, data_time: 0.008, memory: 43098, loss_cls: 8.8364, losses_bboxes: 0.4825, loss: 9.3189 2022-11-02 20:31:04,499 - mmdet - INFO - Epoch [5][7000/7390] lr: 1.000e-02, eta: 7:31:20, time: 0.522, data_time: 0.010, memory: 43098, loss_cls: 8.8362, losses_bboxes: 0.4794, loss: 9.3156 2022-11-02 20:31:30,059 - mmdet - INFO - Epoch [5][7050/7390] lr: 1.000e-02, eta: 7:30:54, time: 0.511, data_time: 0.009, memory: 43098, loss_cls: 8.8342, losses_bboxes: 0.4791, loss: 9.3134 2022-11-02 20:31:56,327 - mmdet - INFO - Epoch [5][7100/7390] lr: 1.000e-02, eta: 7:30:28, time: 0.524, data_time: 0.009, memory: 43098, loss_cls: 8.8339, losses_bboxes: 0.4795, loss: 9.3133 2022-11-02 20:32:22,085 - mmdet - INFO - Epoch [5][7150/7390] lr: 1.000e-02, eta: 7:30:02, time: 0.517, data_time: 0.010, memory: 43098, loss_cls: 8.8356, losses_bboxes: 0.4809, loss: 9.3164 2022-11-02 20:32:48,144 - mmdet - INFO - Epoch [5][7200/7390] lr: 1.000e-02, eta: 7:29:36, time: 0.521, data_time: 0.009, memory: 43098, loss_cls: 8.8381, losses_bboxes: 0.4822, loss: 9.3203 2022-11-02 20:33:13,882 - mmdet - INFO - Epoch [5][7250/7390] lr: 1.000e-02, eta: 7:29:10, time: 0.515, data_time: 0.010, memory: 43098, loss_cls: 8.8349, losses_bboxes: 0.4787, loss: 9.3136 2022-11-02 20:33:40,049 - mmdet - INFO - Epoch [5][7300/7390] lr: 1.000e-02, eta: 7:28:44, time: 0.521, data_time: 0.009, memory: 43098, loss_cls: 8.8345, losses_bboxes: 0.4793, loss: 9.3138 2022-11-02 20:34:06,100 - mmdet - INFO - Epoch [5][7350/7390] lr: 1.000e-02, eta: 7:28:18, time: 0.522, data_time: 0.010, memory: 43098, loss_cls: 8.8308, losses_bboxes: 0.4788, loss: 9.3096 2022-11-02 20:34:26,562 - mmdet - INFO - Saving checkpoint at 5 epochs 2022-11-02 20:34:56,504 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 20:34:56,504 - mmdet - INFO - Epoch [6][50/7390] lr: 1.000e-02, eta: 7:27:07, time: 0.580, data_time: 0.068, memory: 43098, loss_cls: 8.8301, losses_bboxes: 0.4801, loss: 9.3101 2022-11-02 20:35:22,577 - mmdet - INFO - Epoch [6][100/7390] lr: 1.000e-02, eta: 7:26:41, time: 0.520, data_time: 0.007, memory: 43098, loss_cls: 8.8376, losses_bboxes: 0.4785, loss: 9.3161 2022-11-02 20:35:48,754 - mmdet - INFO - Epoch [6][150/7390] lr: 1.000e-02, eta: 7:26:15, time: 0.525, data_time: 0.009, memory: 43098, loss_cls: 8.8353, losses_bboxes: 0.4813, loss: 9.3166 2022-11-02 20:36:14,867 - mmdet - INFO - Epoch [6][200/7390] lr: 1.000e-02, eta: 7:25:49, time: 0.521, data_time: 0.007, memory: 43098, loss_cls: 8.8309, losses_bboxes: 0.4811, loss: 9.3120 2022-11-02 20:36:41,234 - mmdet - INFO - Epoch [6][250/7390] lr: 1.000e-02, eta: 7:25:24, time: 0.527, data_time: 0.008, memory: 43098, loss_cls: 8.8346, losses_bboxes: 0.4806, loss: 9.3153 2022-11-02 20:37:06,747 - mmdet - INFO - Epoch [6][300/7390] lr: 1.000e-02, eta: 7:24:57, time: 0.509, data_time: 0.009, memory: 43098, loss_cls: 8.8353, losses_bboxes: 0.4803, loss: 9.3156 2022-11-02 20:37:32,521 - mmdet - INFO - Epoch [6][350/7390] lr: 1.000e-02, eta: 7:24:31, time: 0.517, data_time: 0.010, memory: 43098, loss_cls: 8.8322, losses_bboxes: 0.4797, loss: 9.3119 2022-11-02 20:37:58,345 - mmdet - INFO - Epoch [6][400/7390] lr: 1.000e-02, eta: 7:24:05, time: 0.516, data_time: 0.008, memory: 43098, loss_cls: 8.8345, losses_bboxes: 0.4772, loss: 9.3117 2022-11-02 20:38:24,946 - mmdet - INFO - Epoch [6][450/7390] lr: 1.000e-02, eta: 7:23:40, time: 0.530, data_time: 0.008, memory: 43098, loss_cls: 8.8324, losses_bboxes: 0.4800, loss: 9.3124 2022-11-02 20:38:51,186 - mmdet - INFO - Epoch [6][500/7390] lr: 1.000e-02, eta: 7:23:14, time: 0.526, data_time: 0.010, memory: 43098, loss_cls: 8.8327, losses_bboxes: 0.4792, loss: 9.3119 2022-11-02 20:39:17,310 - mmdet - INFO - Epoch [6][550/7390] lr: 1.000e-02, eta: 7:22:49, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8367, losses_bboxes: 0.4790, loss: 9.3157 2022-11-02 20:39:43,556 - mmdet - INFO - Epoch [6][600/7390] lr: 1.000e-02, eta: 7:22:23, time: 0.526, data_time: 0.009, memory: 43098, loss_cls: 8.8352, losses_bboxes: 0.4812, loss: 9.3164 2022-11-02 20:40:09,183 - mmdet - INFO - Epoch [6][650/7390] lr: 1.000e-02, eta: 7:21:57, time: 0.513, data_time: 0.008, memory: 43098, loss_cls: 8.8329, losses_bboxes: 0.4814, loss: 9.3143 2022-11-02 20:40:35,202 - mmdet - INFO - Epoch [6][700/7390] lr: 1.000e-02, eta: 7:21:31, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8348, losses_bboxes: 0.4805, loss: 9.3153 2022-11-02 20:41:00,982 - mmdet - INFO - Epoch [6][750/7390] lr: 1.000e-02, eta: 7:21:05, time: 0.515, data_time: 0.008, memory: 43098, loss_cls: 8.8315, losses_bboxes: 0.4806, loss: 9.3122 2022-11-02 20:41:26,855 - mmdet - INFO - Epoch [6][800/7390] lr: 1.000e-02, eta: 7:20:39, time: 0.519, data_time: 0.009, memory: 43098, loss_cls: 8.8366, losses_bboxes: 0.4798, loss: 9.3164 2022-11-02 20:41:52,481 - mmdet - INFO - Epoch [6][850/7390] lr: 1.000e-02, eta: 7:20:12, time: 0.511, data_time: 0.008, memory: 43098, loss_cls: 8.8276, losses_bboxes: 0.4776, loss: 9.3052 2022-11-02 20:42:18,671 - mmdet - INFO - Epoch [6][900/7390] lr: 1.000e-02, eta: 7:19:47, time: 0.525, data_time: 0.009, memory: 43098, loss_cls: 8.8342, losses_bboxes: 0.4788, loss: 9.3130 2022-11-02 20:42:44,569 - mmdet - INFO - Epoch [6][950/7390] lr: 1.000e-02, eta: 7:19:20, time: 0.518, data_time: 0.008, memory: 43098, loss_cls: 8.8347, losses_bboxes: 0.4802, loss: 9.3148 2022-11-02 20:43:10,724 - mmdet - INFO - Epoch [6][1000/7390] lr: 1.000e-02, eta: 7:18:55, time: 0.523, data_time: 0.008, memory: 43098, loss_cls: 8.8346, losses_bboxes: 0.4797, loss: 9.3143 2022-11-02 20:43:36,399 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 20:43:36,400 - mmdet - INFO - Epoch [6][1050/7390] lr: 1.000e-02, eta: 7:18:28, time: 0.512, data_time: 0.008, memory: 43098, loss_cls: 8.8329, losses_bboxes: 0.4791, loss: 9.3120 2022-11-02 20:44:02,477 - mmdet - INFO - Epoch [6][1100/7390] lr: 1.000e-02, eta: 7:18:03, time: 0.523, data_time: 0.009, memory: 43098, loss_cls: 8.8339, losses_bboxes: 0.4795, loss: 9.3134 2022-11-02 20:44:28,620 - mmdet - INFO - Epoch [6][1150/7390] lr: 1.000e-02, eta: 7:17:37, time: 0.521, data_time: 0.008, memory: 43098, loss_cls: 8.8363, losses_bboxes: 0.4802, loss: 9.3165 2022-11-02 20:44:54,433 - mmdet - INFO - Epoch [6][1200/7390] lr: 1.000e-02, eta: 7:17:11, time: 0.518, data_time: 0.010, memory: 43098, loss_cls: 8.8320, losses_bboxes: 0.4828, loss: 9.3148 2022-11-02 20:45:20,203 - mmdet - INFO - Epoch [6][1250/7390] lr: 1.000e-02, eta: 7:16:45, time: 0.515, data_time: 0.008, memory: 43098, loss_cls: 8.8358, losses_bboxes: 0.4792, loss: 9.3150 2022-11-02 20:45:45,743 - mmdet - INFO - Epoch [6][1300/7390] lr: 1.000e-02, eta: 7:16:18, time: 0.512, data_time: 0.009, memory: 43098, loss_cls: 8.8301, losses_bboxes: 0.4807, loss: 9.3108 2022-11-02 20:46:11,887 - mmdet - INFO - Epoch [6][1350/7390] lr: 1.000e-02, eta: 7:15:52, time: 0.523, data_time: 0.008, memory: 43098, loss_cls: 8.8352, losses_bboxes: 0.4805, loss: 9.3158 2022-11-02 20:46:37,773 - mmdet - INFO - Epoch [6][1400/7390] lr: 1.000e-02, eta: 7:15:26, time: 0.517, data_time: 0.008, memory: 43098, loss_cls: 8.8388, losses_bboxes: 0.4811, loss: 9.3199 2022-11-02 20:47:03,852 - mmdet - INFO - Epoch [6][1450/7390] lr: 1.000e-02, eta: 7:15:01, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8335, losses_bboxes: 0.4801, loss: 9.3137 2022-11-02 20:47:29,864 - mmdet - INFO - Epoch [6][1500/7390] lr: 1.000e-02, eta: 7:14:35, time: 0.520, data_time: 0.008, memory: 43098, loss_cls: 8.8346, losses_bboxes: 0.4804, loss: 9.3150 2022-11-02 20:47:55,904 - mmdet - INFO - Epoch [6][1550/7390] lr: 1.000e-02, eta: 7:14:09, time: 0.518, data_time: 0.007, memory: 43098, loss_cls: 8.8326, losses_bboxes: 0.4797, loss: 9.3123 2022-11-02 20:48:21,931 - mmdet - INFO - Epoch [6][1600/7390] lr: 1.000e-02, eta: 7:13:43, time: 0.521, data_time: 0.010, memory: 43098, loss_cls: 8.8360, losses_bboxes: 0.4786, loss: 9.3146 2022-11-02 20:48:47,947 - mmdet - INFO - Epoch [6][1650/7390] lr: 1.000e-02, eta: 7:13:17, time: 0.520, data_time: 0.009, memory: 43098, loss_cls: 8.8377, losses_bboxes: 0.4802, loss: 9.3179 2022-11-02 20:49:13,948 - mmdet - INFO - Epoch [6][1700/7390] lr: 1.000e-02, eta: 7:12:51, time: 0.521, data_time: 0.010, memory: 43098, loss_cls: 8.8288, losses_bboxes: 0.4778, loss: 9.3065 2022-11-02 20:49:39,837 - mmdet - INFO - Epoch [6][1750/7390] lr: 1.000e-02, eta: 7:12:25, time: 0.518, data_time: 0.009, memory: 43098, loss_cls: 8.8371, losses_bboxes: 0.4787, loss: 9.3158 2022-11-02 20:50:05,737 - mmdet - INFO - Epoch [6][1800/7390] lr: 1.000e-02, eta: 7:11:59, time: 0.516, data_time: 0.009, memory: 43098, loss_cls: 8.8349, losses_bboxes: 0.4792, loss: 9.3140 2022-11-02 20:50:31,814 - mmdet - INFO - Epoch [6][1850/7390] lr: 1.000e-02, eta: 7:11:33, time: 0.524, data_time: 0.011, memory: 43098, loss_cls: 8.8372, losses_bboxes: 0.4789, loss: 9.3161 2022-11-02 20:50:57,272 - mmdet - INFO - Epoch [6][1900/7390] lr: 1.000e-02, eta: 7:11:07, time: 0.508, data_time: 0.008, memory: 43098, loss_cls: 8.8331, losses_bboxes: 0.4793, loss: 9.3124 2022-11-02 20:51:22,962 - mmdet - INFO - Epoch [6][1950/7390] lr: 1.000e-02, eta: 7:10:40, time: 0.514, data_time: 0.010, memory: 43098, loss_cls: 8.8345, losses_bboxes: 0.4790, loss: 9.3135 2022-11-02 20:51:49,251 - mmdet - INFO - Epoch [6][2000/7390] lr: 1.000e-02, eta: 7:10:15, time: 0.527, data_time: 0.009, memory: 43098, loss_cls: 8.8352, losses_bboxes: 0.4798, loss: 9.3150 2022-11-02 20:52:15,335 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 20:52:15,335 - mmdet - INFO - Epoch [6][2050/7390] lr: 1.000e-02, eta: 7:09:49, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8330, losses_bboxes: 0.4774, loss: 9.3103 2022-11-02 20:52:41,734 - mmdet - INFO - Epoch [6][2100/7390] lr: 1.000e-02, eta: 7:09:24, time: 0.527, data_time: 0.008, memory: 43098, loss_cls: 8.8300, losses_bboxes: 0.4787, loss: 9.3087 2022-11-02 20:53:07,781 - mmdet - INFO - Epoch [6][2150/7390] lr: 1.000e-02, eta: 7:08:58, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8328, losses_bboxes: 0.4787, loss: 9.3115 2022-11-02 20:53:34,182 - mmdet - INFO - Epoch [6][2200/7390] lr: 1.000e-02, eta: 7:08:32, time: 0.527, data_time: 0.008, memory: 43098, loss_cls: 8.8340, losses_bboxes: 0.4803, loss: 9.3143 2022-11-02 20:54:00,001 - mmdet - INFO - Epoch [6][2250/7390] lr: 1.000e-02, eta: 7:08:06, time: 0.517, data_time: 0.009, memory: 43098, loss_cls: 8.8311, losses_bboxes: 0.4797, loss: 9.3109 2022-11-02 20:54:26,131 - mmdet - INFO - Epoch [6][2300/7390] lr: 1.000e-02, eta: 7:07:41, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8352, losses_bboxes: 0.4794, loss: 9.3146 2022-11-02 20:54:51,865 - mmdet - INFO - Epoch [6][2350/7390] lr: 1.000e-02, eta: 7:07:14, time: 0.515, data_time: 0.009, memory: 43098, loss_cls: 8.8344, losses_bboxes: 0.4804, loss: 9.3147 2022-11-02 20:55:17,887 - mmdet - INFO - Epoch [6][2400/7390] lr: 1.000e-02, eta: 7:06:48, time: 0.522, data_time: 0.009, memory: 43098, loss_cls: 8.8335, losses_bboxes: 0.4785, loss: 9.3121 2022-11-02 20:55:44,089 - mmdet - INFO - Epoch [6][2450/7390] lr: 1.000e-02, eta: 7:06:23, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8373, losses_bboxes: 0.4800, loss: 9.3172 2022-11-02 20:56:09,761 - mmdet - INFO - Epoch [6][2500/7390] lr: 1.000e-02, eta: 7:05:56, time: 0.513, data_time: 0.009, memory: 43098, loss_cls: 8.8325, losses_bboxes: 0.4782, loss: 9.3107 2022-11-02 20:56:35,433 - mmdet - INFO - Epoch [6][2550/7390] lr: 1.000e-02, eta: 7:05:30, time: 0.516, data_time: 0.010, memory: 43098, loss_cls: 8.8326, losses_bboxes: 0.4778, loss: 9.3104 2022-11-02 20:57:01,841 - mmdet - INFO - Epoch [6][2600/7390] lr: 1.000e-02, eta: 7:05:05, time: 0.528, data_time: 0.007, memory: 43098, loss_cls: 8.8374, losses_bboxes: 0.4790, loss: 9.3164 2022-11-02 20:57:27,165 - mmdet - INFO - Epoch [6][2650/7390] lr: 1.000e-02, eta: 7:04:38, time: 0.507, data_time: 0.007, memory: 43098, loss_cls: 8.8351, losses_bboxes: 0.4797, loss: 9.3148 2022-11-02 20:57:52,903 - mmdet - INFO - Epoch [6][2700/7390] lr: 1.000e-02, eta: 7:04:12, time: 0.513, data_time: 0.008, memory: 43098, loss_cls: 8.8346, losses_bboxes: 0.4791, loss: 9.3137 2022-11-02 20:58:18,683 - mmdet - INFO - Epoch [6][2750/7390] lr: 1.000e-02, eta: 7:03:46, time: 0.515, data_time: 0.009, memory: 43098, loss_cls: 8.8323, losses_bboxes: 0.4805, loss: 9.3128 2022-11-02 20:58:44,843 - mmdet - INFO - Epoch [6][2800/7390] lr: 1.000e-02, eta: 7:03:20, time: 0.524, data_time: 0.010, memory: 43098, loss_cls: 8.8374, losses_bboxes: 0.4784, loss: 9.3158 2022-11-02 20:59:10,450 - mmdet - INFO - Epoch [6][2850/7390] lr: 1.000e-02, eta: 7:02:54, time: 0.513, data_time: 0.009, memory: 43098, loss_cls: 8.8358, losses_bboxes: 0.4789, loss: 9.3147 2022-11-02 20:59:36,461 - mmdet - INFO - Epoch [6][2900/7390] lr: 1.000e-02, eta: 7:02:28, time: 0.519, data_time: 0.008, memory: 43098, loss_cls: 8.8338, losses_bboxes: 0.4796, loss: 9.3135 2022-11-02 21:00:02,473 - mmdet - INFO - Epoch [6][2950/7390] lr: 1.000e-02, eta: 7:02:02, time: 0.520, data_time: 0.010, memory: 43098, loss_cls: 8.8346, losses_bboxes: 0.4811, loss: 9.3157 2022-11-02 21:00:28,707 - mmdet - INFO - Epoch [6][3000/7390] lr: 1.000e-02, eta: 7:01:36, time: 0.527, data_time: 0.010, memory: 43098, loss_cls: 8.8335, losses_bboxes: 0.4783, loss: 9.3119 2022-11-02 21:00:54,372 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 21:00:54,372 - mmdet - INFO - Epoch [6][3050/7390] lr: 1.000e-02, eta: 7:01:10, time: 0.513, data_time: 0.008, memory: 43098, loss_cls: 8.8393, losses_bboxes: 0.4799, loss: 9.3191 2022-11-02 21:01:20,426 - mmdet - INFO - Epoch [6][3100/7390] lr: 1.000e-02, eta: 7:00:44, time: 0.519, data_time: 0.008, memory: 43098, loss_cls: 8.8350, losses_bboxes: 0.4795, loss: 9.3145 2022-11-02 21:01:46,440 - mmdet - INFO - Epoch [6][3150/7390] lr: 1.000e-02, eta: 7:00:18, time: 0.523, data_time: 0.010, memory: 43098, loss_cls: 8.8322, losses_bboxes: 0.4786, loss: 9.3108 2022-11-02 21:02:12,623 - mmdet - INFO - Epoch [6][3200/7390] lr: 1.000e-02, eta: 6:59:52, time: 0.522, data_time: 0.008, memory: 43098, loss_cls: 8.8311, losses_bboxes: 0.4788, loss: 9.3099 2022-11-02 21:02:38,610 - mmdet - INFO - Epoch [6][3250/7390] lr: 1.000e-02, eta: 6:59:27, time: 0.521, data_time: 0.009, memory: 43098, loss_cls: 8.8349, losses_bboxes: 0.4799, loss: 9.3148 2022-11-02 21:03:04,132 - mmdet - INFO - Epoch [6][3300/7390] lr: 1.000e-02, eta: 6:59:00, time: 0.508, data_time: 0.008, memory: 43488, loss_cls: 8.8403, losses_bboxes: 0.4803, loss: 9.3206 2022-11-02 21:03:30,215 - mmdet - INFO - Epoch [6][3350/7390] lr: 1.000e-02, eta: 6:58:34, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8373, losses_bboxes: 0.4795, loss: 9.3168 2022-11-02 21:03:55,899 - mmdet - INFO - Epoch [6][3400/7390] lr: 1.000e-02, eta: 6:58:08, time: 0.515, data_time: 0.010, memory: 43488, loss_cls: 8.8379, losses_bboxes: 0.4795, loss: 9.3173 2022-11-02 21:04:22,220 - mmdet - INFO - Epoch [6][3450/7390] lr: 1.000e-02, eta: 6:57:42, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8286, losses_bboxes: 0.4782, loss: 9.3068 2022-11-02 21:04:48,637 - mmdet - INFO - Epoch [6][3500/7390] lr: 1.000e-02, eta: 6:57:17, time: 0.530, data_time: 0.010, memory: 43488, loss_cls: 8.8362, losses_bboxes: 0.4783, loss: 9.3146 2022-11-02 21:05:14,806 - mmdet - INFO - Epoch [6][3550/7390] lr: 1.000e-02, eta: 6:56:51, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8317, losses_bboxes: 0.4780, loss: 9.3097 2022-11-02 21:05:40,458 - mmdet - INFO - Epoch [6][3600/7390] lr: 1.000e-02, eta: 6:56:25, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8363, losses_bboxes: 0.4770, loss: 9.3134 2022-11-02 21:06:06,227 - mmdet - INFO - Epoch [6][3650/7390] lr: 1.000e-02, eta: 6:55:59, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4794, loss: 9.3129 2022-11-02 21:06:31,952 - mmdet - INFO - Epoch [6][3700/7390] lr: 1.000e-02, eta: 6:55:33, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8315, losses_bboxes: 0.4789, loss: 9.3103 2022-11-02 21:06:57,458 - mmdet - INFO - Epoch [6][3750/7390] lr: 1.000e-02, eta: 6:55:06, time: 0.510, data_time: 0.008, memory: 43488, loss_cls: 8.8374, losses_bboxes: 0.4810, loss: 9.3184 2022-11-02 21:07:23,564 - mmdet - INFO - Epoch [6][3800/7390] lr: 1.000e-02, eta: 6:54:40, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4799, loss: 9.3146 2022-11-02 21:07:49,749 - mmdet - INFO - Epoch [6][3850/7390] lr: 1.000e-02, eta: 6:54:15, time: 0.526, data_time: 0.010, memory: 43488, loss_cls: 8.8309, losses_bboxes: 0.4779, loss: 9.3089 2022-11-02 21:08:15,591 - mmdet - INFO - Epoch [6][3900/7390] lr: 1.000e-02, eta: 6:53:49, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4771, loss: 9.3107 2022-11-02 21:08:41,215 - mmdet - INFO - Epoch [6][3950/7390] lr: 1.000e-02, eta: 6:53:22, time: 0.513, data_time: 0.008, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4777, loss: 9.3115 2022-11-02 21:09:07,430 - mmdet - INFO - Epoch [6][4000/7390] lr: 1.000e-02, eta: 6:52:57, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4787, loss: 9.3119 2022-11-02 21:09:33,413 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 21:09:33,413 - mmdet - INFO - Epoch [6][4050/7390] lr: 1.000e-02, eta: 6:52:31, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8362, losses_bboxes: 0.4792, loss: 9.3154 2022-11-02 21:09:59,345 - mmdet - INFO - Epoch [6][4100/7390] lr: 1.000e-02, eta: 6:52:05, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8323, losses_bboxes: 0.4801, loss: 9.3124 2022-11-02 21:10:24,805 - mmdet - INFO - Epoch [6][4150/7390] lr: 1.000e-02, eta: 6:51:38, time: 0.510, data_time: 0.009, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4800, loss: 9.3140 2022-11-02 21:10:50,288 - mmdet - INFO - Epoch [6][4200/7390] lr: 1.000e-02, eta: 6:51:12, time: 0.509, data_time: 0.008, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4786, loss: 9.3130 2022-11-02 21:11:16,495 - mmdet - INFO - Epoch [6][4250/7390] lr: 1.000e-02, eta: 6:50:46, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8378, losses_bboxes: 0.4788, loss: 9.3166 2022-11-02 21:11:43,327 - mmdet - INFO - Epoch [6][4300/7390] lr: 1.000e-02, eta: 6:50:21, time: 0.536, data_time: 0.009, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4793, loss: 9.3150 2022-11-02 21:12:08,939 - mmdet - INFO - Epoch [6][4350/7390] lr: 1.000e-02, eta: 6:49:55, time: 0.513, data_time: 0.010, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4797, loss: 9.3155 2022-11-02 21:12:35,224 - mmdet - INFO - Epoch [6][4400/7390] lr: 1.000e-02, eta: 6:49:29, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4777, loss: 9.3106 2022-11-02 21:13:01,393 - mmdet - INFO - Epoch [6][4450/7390] lr: 1.000e-02, eta: 6:49:03, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4784, loss: 9.3122 2022-11-02 21:13:27,625 - mmdet - INFO - Epoch [6][4500/7390] lr: 1.000e-02, eta: 6:48:38, time: 0.526, data_time: 0.009, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4779, loss: 9.3112 2022-11-02 21:13:53,900 - mmdet - INFO - Epoch [6][4550/7390] lr: 1.000e-02, eta: 6:48:12, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4776, loss: 9.3117 2022-11-02 21:14:19,999 - mmdet - INFO - Epoch [6][4600/7390] lr: 1.000e-02, eta: 6:47:46, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8384, losses_bboxes: 0.4789, loss: 9.3173 2022-11-02 21:14:46,066 - mmdet - INFO - Epoch [6][4650/7390] lr: 1.000e-02, eta: 6:47:21, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8300, losses_bboxes: 0.4782, loss: 9.3082 2022-11-02 21:15:12,304 - mmdet - INFO - Epoch [6][4700/7390] lr: 1.000e-02, eta: 6:46:55, time: 0.524, data_time: 0.009, memory: 43488, loss_cls: 8.8388, losses_bboxes: 0.4801, loss: 9.3189 2022-11-02 21:15:38,270 - mmdet - INFO - Epoch [6][4750/7390] lr: 1.000e-02, eta: 6:46:29, time: 0.519, data_time: 0.010, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4798, loss: 9.3120 2022-11-02 21:16:04,354 - mmdet - INFO - Epoch [6][4800/7390] lr: 1.000e-02, eta: 6:46:03, time: 0.524, data_time: 0.010, memory: 43488, loss_cls: 8.8324, losses_bboxes: 0.4777, loss: 9.3101 2022-11-02 21:16:29,922 - mmdet - INFO - Epoch [6][4850/7390] lr: 1.000e-02, eta: 6:45:37, time: 0.511, data_time: 0.008, memory: 43488, loss_cls: 8.8306, losses_bboxes: 0.4781, loss: 9.3087 2022-11-02 21:16:55,530 - mmdet - INFO - Epoch [6][4900/7390] lr: 1.000e-02, eta: 6:45:10, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8362, losses_bboxes: 0.4791, loss: 9.3153 2022-11-02 21:17:21,511 - mmdet - INFO - Epoch [6][4950/7390] lr: 1.000e-02, eta: 6:44:44, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8368, losses_bboxes: 0.4806, loss: 9.3174 2022-11-02 21:17:47,815 - mmdet - INFO - Epoch [6][5000/7390] lr: 1.000e-02, eta: 6:44:19, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4792, loss: 9.3148 2022-11-02 21:18:13,943 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 21:18:13,943 - mmdet - INFO - Epoch [6][5050/7390] lr: 1.000e-02, eta: 6:43:53, time: 0.525, data_time: 0.010, memory: 43488, loss_cls: 8.8373, losses_bboxes: 0.4795, loss: 9.3168 2022-11-02 21:18:40,148 - mmdet - INFO - Epoch [6][5100/7390] lr: 1.000e-02, eta: 6:43:27, time: 0.523, data_time: 0.007, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4803, loss: 9.3141 2022-11-02 21:19:06,223 - mmdet - INFO - Epoch [6][5150/7390] lr: 1.000e-02, eta: 6:43:02, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4793, loss: 9.3131 2022-11-02 21:19:32,824 - mmdet - INFO - Epoch [6][5200/7390] lr: 1.000e-02, eta: 6:42:36, time: 0.531, data_time: 0.009, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4813, loss: 9.3169 2022-11-02 21:19:58,576 - mmdet - INFO - Epoch [6][5250/7390] lr: 1.000e-02, eta: 6:42:10, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8302, losses_bboxes: 0.4778, loss: 9.3080 2022-11-02 21:20:24,712 - mmdet - INFO - Epoch [6][5300/7390] lr: 1.000e-02, eta: 6:41:44, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8364, losses_bboxes: 0.4788, loss: 9.3152 2022-11-02 21:20:50,555 - mmdet - INFO - Epoch [6][5350/7390] lr: 1.000e-02, eta: 6:41:18, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4800, loss: 9.3149 2022-11-02 21:21:16,769 - mmdet - INFO - Epoch [6][5400/7390] lr: 1.000e-02, eta: 6:40:53, time: 0.524, data_time: 0.009, memory: 43488, loss_cls: 8.8364, losses_bboxes: 0.4786, loss: 9.3150 2022-11-02 21:21:42,616 - mmdet - INFO - Epoch [6][5450/7390] lr: 1.000e-02, eta: 6:40:27, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8360, losses_bboxes: 0.4791, loss: 9.3151 2022-11-02 21:22:08,232 - mmdet - INFO - Epoch [6][5500/7390] lr: 1.000e-02, eta: 6:40:00, time: 0.511, data_time: 0.008, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4784, loss: 9.3127 2022-11-02 21:22:34,442 - mmdet - INFO - Epoch [6][5550/7390] lr: 1.000e-02, eta: 6:39:35, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8384, losses_bboxes: 0.4789, loss: 9.3173 2022-11-02 21:23:00,155 - mmdet - INFO - Epoch [6][5600/7390] lr: 1.000e-02, eta: 6:39:08, time: 0.514, data_time: 0.009, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4781, loss: 9.3112 2022-11-02 21:23:26,800 - mmdet - INFO - Epoch [6][5650/7390] lr: 1.000e-02, eta: 6:38:43, time: 0.533, data_time: 0.009, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4777, loss: 9.3119 2022-11-02 21:23:53,275 - mmdet - INFO - Epoch [6][5700/7390] lr: 1.000e-02, eta: 6:38:18, time: 0.529, data_time: 0.009, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4775, loss: 9.3108 2022-11-02 21:24:19,303 - mmdet - INFO - Epoch [6][5750/7390] lr: 1.000e-02, eta: 6:37:52, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8350, losses_bboxes: 0.4788, loss: 9.3139 2022-11-02 21:24:45,754 - mmdet - INFO - Epoch [6][5800/7390] lr: 1.000e-02, eta: 6:37:26, time: 0.531, data_time: 0.009, memory: 43488, loss_cls: 8.8382, losses_bboxes: 0.4791, loss: 9.3173 2022-11-02 21:25:11,520 - mmdet - INFO - Epoch [6][5850/7390] lr: 1.000e-02, eta: 6:37:00, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8367, losses_bboxes: 0.4780, loss: 9.3148 2022-11-02 21:25:37,908 - mmdet - INFO - Epoch [6][5900/7390] lr: 1.000e-02, eta: 6:36:35, time: 0.527, data_time: 0.008, memory: 43488, loss_cls: 8.8392, losses_bboxes: 0.4796, loss: 9.3187 2022-11-02 21:26:04,276 - mmdet - INFO - Epoch [6][5950/7390] lr: 1.000e-02, eta: 6:36:09, time: 0.529, data_time: 0.009, memory: 43488, loss_cls: 8.8365, losses_bboxes: 0.4788, loss: 9.3152 2022-11-02 21:26:30,051 - mmdet - INFO - Epoch [6][6000/7390] lr: 1.000e-02, eta: 6:35:43, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8314, losses_bboxes: 0.4758, loss: 9.3072 2022-11-02 21:26:55,804 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 21:26:55,804 - mmdet - INFO - Epoch [6][6050/7390] lr: 1.000e-02, eta: 6:35:17, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8394, losses_bboxes: 0.4794, loss: 9.3189 2022-11-02 21:27:21,800 - mmdet - INFO - Epoch [6][6100/7390] lr: 1.000e-02, eta: 6:34:51, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4777, loss: 9.3115 2022-11-02 21:27:48,140 - mmdet - INFO - Epoch [6][6150/7390] lr: 1.000e-02, eta: 6:34:25, time: 0.525, data_time: 0.008, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4796, loss: 9.3132 2022-11-02 21:28:14,127 - mmdet - INFO - Epoch [6][6200/7390] lr: 1.000e-02, eta: 6:33:59, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8307, losses_bboxes: 0.4766, loss: 9.3073 2022-11-02 21:28:39,752 - mmdet - INFO - Epoch [6][6250/7390] lr: 1.000e-02, eta: 6:33:33, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4781, loss: 9.3134 2022-11-02 21:29:05,582 - mmdet - INFO - Epoch [6][6300/7390] lr: 1.000e-02, eta: 6:33:07, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8367, losses_bboxes: 0.4791, loss: 9.3158 2022-11-02 21:29:31,613 - mmdet - INFO - Epoch [6][6350/7390] lr: 1.000e-02, eta: 6:32:41, time: 0.523, data_time: 0.011, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4769, loss: 9.3089 2022-11-02 21:29:57,329 - mmdet - INFO - Epoch [6][6400/7390] lr: 1.000e-02, eta: 6:32:15, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4779, loss: 9.3127 2022-11-02 21:30:23,483 - mmdet - INFO - Epoch [6][6450/7390] lr: 1.000e-02, eta: 6:31:49, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4784, loss: 9.3108 2022-11-02 21:30:49,273 - mmdet - INFO - Epoch [6][6500/7390] lr: 1.000e-02, eta: 6:31:23, time: 0.519, data_time: 0.011, memory: 43488, loss_cls: 8.8321, losses_bboxes: 0.4784, loss: 9.3105 2022-11-02 21:31:14,818 - mmdet - INFO - Epoch [6][6550/7390] lr: 1.000e-02, eta: 6:30:57, time: 0.510, data_time: 0.008, memory: 43488, loss_cls: 8.8324, losses_bboxes: 0.4778, loss: 9.3102 2022-11-02 21:31:40,968 - mmdet - INFO - Epoch [6][6600/7390] lr: 1.000e-02, eta: 6:30:31, time: 0.524, data_time: 0.009, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4781, loss: 9.3117 2022-11-02 21:32:07,133 - mmdet - INFO - Epoch [6][6650/7390] lr: 1.000e-02, eta: 6:30:05, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4770, loss: 9.3098 2022-11-02 21:32:32,759 - mmdet - INFO - Epoch [6][6700/7390] lr: 1.000e-02, eta: 6:29:39, time: 0.512, data_time: 0.009, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4774, loss: 9.3106 2022-11-02 21:32:58,886 - mmdet - INFO - Epoch [6][6750/7390] lr: 1.000e-02, eta: 6:29:13, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8321, losses_bboxes: 0.4792, loss: 9.3112 2022-11-02 21:33:24,496 - mmdet - INFO - Epoch [6][6800/7390] lr: 1.000e-02, eta: 6:28:47, time: 0.512, data_time: 0.009, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4782, loss: 9.3122 2022-11-02 21:33:50,675 - mmdet - INFO - Epoch [6][6850/7390] lr: 1.000e-02, eta: 6:28:21, time: 0.526, data_time: 0.010, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4771, loss: 9.3124 2022-11-02 21:34:15,853 - mmdet - INFO - Epoch [6][6900/7390] lr: 1.000e-02, eta: 6:27:54, time: 0.503, data_time: 0.008, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4781, loss: 9.3124 2022-11-02 21:34:41,421 - mmdet - INFO - Epoch [6][6950/7390] lr: 1.000e-02, eta: 6:27:28, time: 0.511, data_time: 0.008, memory: 43488, loss_cls: 8.8368, losses_bboxes: 0.4784, loss: 9.3152 2022-11-02 21:35:07,454 - mmdet - INFO - Epoch [6][7000/7390] lr: 1.000e-02, eta: 6:27:02, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8314, losses_bboxes: 0.4786, loss: 9.3100 2022-11-02 21:35:33,102 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 21:35:33,103 - mmdet - INFO - Epoch [6][7050/7390] lr: 1.000e-02, eta: 6:26:36, time: 0.513, data_time: 0.009, memory: 43488, loss_cls: 8.8313, losses_bboxes: 0.4793, loss: 9.3106 2022-11-02 21:35:59,423 - mmdet - INFO - Epoch [6][7100/7390] lr: 1.000e-02, eta: 6:26:10, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4771, loss: 9.3097 2022-11-02 21:36:25,085 - mmdet - INFO - Epoch [6][7150/7390] lr: 1.000e-02, eta: 6:25:44, time: 0.513, data_time: 0.008, memory: 43488, loss_cls: 8.8358, losses_bboxes: 0.4775, loss: 9.3133 2022-11-02 21:36:51,026 - mmdet - INFO - Epoch [6][7200/7390] lr: 1.000e-02, eta: 6:25:18, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4788, loss: 9.3131 2022-11-02 21:37:17,274 - mmdet - INFO - Epoch [6][7250/7390] lr: 1.000e-02, eta: 6:24:52, time: 0.526, data_time: 0.009, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4797, loss: 9.3154 2022-11-02 21:37:43,305 - mmdet - INFO - Epoch [6][7300/7390] lr: 1.000e-02, eta: 6:24:26, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4765, loss: 9.3090 2022-11-02 21:38:09,541 - mmdet - INFO - Epoch [6][7350/7390] lr: 1.000e-02, eta: 6:24:01, time: 0.526, data_time: 0.009, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4792, loss: 9.3135 2022-11-02 21:38:30,272 - mmdet - INFO - Saving checkpoint at 6 epochs 2022-11-02 21:39:00,245 - mmdet - INFO - Epoch [7][50/7390] lr: 1.000e-02, eta: 6:22:56, time: 0.577, data_time: 0.068, memory: 43488, loss_cls: 8.8365, losses_bboxes: 0.4780, loss: 9.3145 2022-11-02 21:39:26,277 - mmdet - INFO - Epoch [7][100/7390] lr: 1.000e-02, eta: 6:22:30, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4775, loss: 9.3132 2022-11-02 21:39:52,780 - mmdet - INFO - Epoch [7][150/7390] lr: 1.000e-02, eta: 6:22:05, time: 0.531, data_time: 0.008, memory: 43488, loss_cls: 8.8354, losses_bboxes: 0.4781, loss: 9.3136 2022-11-02 21:40:18,721 - mmdet - INFO - Epoch [7][200/7390] lr: 1.000e-02, eta: 6:21:39, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4768, loss: 9.3111 2022-11-02 21:40:44,639 - mmdet - INFO - Epoch [7][250/7390] lr: 1.000e-02, eta: 6:21:13, time: 0.518, data_time: 0.007, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4771, loss: 9.3108 2022-11-02 21:41:10,393 - mmdet - INFO - Epoch [7][300/7390] lr: 1.000e-02, eta: 6:20:47, time: 0.514, data_time: 0.007, memory: 43488, loss_cls: 8.8335, losses_bboxes: 0.4771, loss: 9.3106 2022-11-02 21:41:36,601 - mmdet - INFO - Epoch [7][350/7390] lr: 1.000e-02, eta: 6:20:21, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4783, loss: 9.3131 2022-11-02 21:42:02,754 - mmdet - INFO - Epoch [7][400/7390] lr: 1.000e-02, eta: 6:19:56, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4772, loss: 9.3117 2022-11-02 21:42:28,801 - mmdet - INFO - Epoch [7][450/7390] lr: 1.000e-02, eta: 6:19:30, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4781, loss: 9.3103 2022-11-02 21:42:54,813 - mmdet - INFO - Epoch [7][500/7390] lr: 1.000e-02, eta: 6:19:04, time: 0.519, data_time: 0.007, memory: 43488, loss_cls: 8.8379, losses_bboxes: 0.4799, loss: 9.3178 2022-11-02 21:43:20,999 - mmdet - INFO - Epoch [7][550/7390] lr: 1.000e-02, eta: 6:18:38, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4780, loss: 9.3120 2022-11-02 21:43:46,642 - mmdet - INFO - Epoch [7][600/7390] lr: 1.000e-02, eta: 6:18:12, time: 0.513, data_time: 0.009, memory: 43488, loss_cls: 8.8329, losses_bboxes: 0.4768, loss: 9.3097 2022-11-02 21:44:13,354 - mmdet - INFO - Epoch [7][650/7390] lr: 1.000e-02, eta: 6:17:47, time: 0.536, data_time: 0.009, memory: 43488, loss_cls: 8.8379, losses_bboxes: 0.4769, loss: 9.3149 2022-11-02 21:44:39,793 - mmdet - INFO - Epoch [7][700/7390] lr: 1.000e-02, eta: 6:17:21, time: 0.528, data_time: 0.008, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4784, loss: 9.3127 2022-11-02 21:45:06,176 - mmdet - INFO - Epoch [7][750/7390] lr: 1.000e-02, eta: 6:16:56, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4780, loss: 9.3113 2022-11-02 21:45:32,347 - mmdet - INFO - Epoch [7][800/7390] lr: 1.000e-02, eta: 6:16:30, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4765, loss: 9.3098 2022-11-02 21:45:58,044 - mmdet - INFO - Epoch [7][850/7390] lr: 1.000e-02, eta: 6:16:04, time: 0.514, data_time: 0.010, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4771, loss: 9.3130 2022-11-02 21:46:24,063 - mmdet - INFO - Epoch [7][900/7390] lr: 1.000e-02, eta: 6:15:38, time: 0.523, data_time: 0.010, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4778, loss: 9.3125 2022-11-02 21:46:49,951 - mmdet - INFO - Epoch [7][950/7390] lr: 1.000e-02, eta: 6:15:12, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8380, losses_bboxes: 0.4754, loss: 9.3134 2022-11-02 21:47:16,056 - mmdet - INFO - Epoch [7][1000/7390] lr: 1.000e-02, eta: 6:14:46, time: 0.525, data_time: 0.011, memory: 43488, loss_cls: 8.8361, losses_bboxes: 0.4775, loss: 9.3136 2022-11-02 21:47:41,988 - mmdet - INFO - Epoch [7][1050/7390] lr: 1.000e-02, eta: 6:14:20, time: 0.517, data_time: 0.007, memory: 43488, loss_cls: 8.8355, losses_bboxes: 0.4785, loss: 9.3140 2022-11-02 21:48:07,911 - mmdet - INFO - Epoch [7][1100/7390] lr: 1.000e-02, eta: 6:13:54, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8366, losses_bboxes: 0.4786, loss: 9.3152 2022-11-02 21:48:33,921 - mmdet - INFO - Epoch [7][1150/7390] lr: 1.000e-02, eta: 6:13:28, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4796, loss: 9.3141 2022-11-02 21:48:59,761 - mmdet - INFO - Epoch [7][1200/7390] lr: 1.000e-02, eta: 6:13:02, time: 0.516, data_time: 0.007, memory: 43488, loss_cls: 8.8383, losses_bboxes: 0.4780, loss: 9.3163 2022-11-02 21:49:25,496 - mmdet - INFO - Epoch [7][1250/7390] lr: 1.000e-02, eta: 6:12:36, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8370, losses_bboxes: 0.4776, loss: 9.3146 2022-11-02 21:49:51,104 - mmdet - INFO - Epoch [7][1300/7390] lr: 1.000e-02, eta: 6:12:10, time: 0.511, data_time: 0.007, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4785, loss: 9.3116 2022-11-02 21:50:16,351 - mmdet - INFO - Epoch [7][1350/7390] lr: 1.000e-02, eta: 6:11:43, time: 0.505, data_time: 0.009, memory: 43488, loss_cls: 8.8368, losses_bboxes: 0.4759, loss: 9.3126 2022-11-02 21:50:42,154 - mmdet - INFO - Epoch [7][1400/7390] lr: 1.000e-02, eta: 6:11:17, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8314, losses_bboxes: 0.4772, loss: 9.3087 2022-11-02 21:51:08,130 - mmdet - INFO - Epoch [7][1450/7390] lr: 1.000e-02, eta: 6:10:51, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4786, loss: 9.3117 2022-11-02 21:51:33,877 - mmdet - INFO - Epoch [7][1500/7390] lr: 1.000e-02, eta: 6:10:25, time: 0.514, data_time: 0.009, memory: 43488, loss_cls: 8.8298, losses_bboxes: 0.4778, loss: 9.3076 2022-11-02 21:51:59,972 - mmdet - INFO - Epoch [7][1550/7390] lr: 1.000e-02, eta: 6:10:00, time: 0.524, data_time: 0.010, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4781, loss: 9.3115 2022-11-02 21:52:25,804 - mmdet - INFO - Epoch [7][1600/7390] lr: 1.000e-02, eta: 6:09:33, time: 0.514, data_time: 0.007, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4785, loss: 9.3131 2022-11-02 21:52:51,683 - mmdet - INFO - Epoch [7][1650/7390] lr: 1.000e-02, eta: 6:09:07, time: 0.519, data_time: 0.010, memory: 43488, loss_cls: 8.8354, losses_bboxes: 0.4778, loss: 9.3132 2022-11-02 21:53:17,434 - mmdet - INFO - Epoch [7][1700/7390] lr: 1.000e-02, eta: 6:08:41, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8317, losses_bboxes: 0.4779, loss: 9.3096 2022-11-02 21:53:42,686 - mmdet - INFO - Epoch [7][1750/7390] lr: 1.000e-02, eta: 6:08:15, time: 0.505, data_time: 0.007, memory: 43488, loss_cls: 8.8329, losses_bboxes: 0.4770, loss: 9.3098 2022-11-02 21:54:08,890 - mmdet - INFO - Epoch [7][1800/7390] lr: 1.000e-02, eta: 6:07:49, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4773, loss: 9.3119 2022-11-02 21:54:34,267 - mmdet - INFO - Epoch [7][1850/7390] lr: 1.000e-02, eta: 6:07:23, time: 0.507, data_time: 0.009, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4770, loss: 9.3106 2022-11-02 21:55:00,425 - mmdet - INFO - Epoch [7][1900/7390] lr: 1.000e-02, eta: 6:06:57, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8381, losses_bboxes: 0.4774, loss: 9.3155 2022-11-02 21:55:26,539 - mmdet - INFO - Epoch [7][1950/7390] lr: 1.000e-02, eta: 6:06:31, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4767, loss: 9.3117 2022-11-02 21:55:52,558 - mmdet - INFO - Epoch [7][2000/7390] lr: 1.000e-02, eta: 6:06:05, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4759, loss: 9.3089 2022-11-02 21:56:18,538 - mmdet - INFO - Epoch [7][2050/7390] lr: 1.000e-02, eta: 6:05:39, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8367, losses_bboxes: 0.4782, loss: 9.3149 2022-11-02 21:56:44,577 - mmdet - INFO - Epoch [7][2100/7390] lr: 1.000e-02, eta: 6:05:13, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8321, losses_bboxes: 0.4770, loss: 9.3091 2022-11-02 21:57:10,844 - mmdet - INFO - Epoch [7][2150/7390] lr: 1.000e-02, eta: 6:04:48, time: 0.527, data_time: 0.010, memory: 43488, loss_cls: 8.8363, losses_bboxes: 0.4773, loss: 9.3136 2022-11-02 21:57:36,564 - mmdet - INFO - Epoch [7][2200/7390] lr: 1.000e-02, eta: 6:04:22, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8311, losses_bboxes: 0.4766, loss: 9.3077 2022-11-02 21:58:02,693 - mmdet - INFO - Epoch [7][2250/7390] lr: 1.000e-02, eta: 6:03:56, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8315, losses_bboxes: 0.4768, loss: 9.3084 2022-11-02 21:58:28,875 - mmdet - INFO - Epoch [7][2300/7390] lr: 1.000e-02, eta: 6:03:30, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4750, loss: 9.3091 2022-11-02 21:58:55,100 - mmdet - INFO - Epoch [7][2350/7390] lr: 1.000e-02, eta: 6:03:05, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8364, losses_bboxes: 0.4770, loss: 9.3134 2022-11-02 21:59:21,003 - mmdet - INFO - Epoch [7][2400/7390] lr: 1.000e-02, eta: 6:02:38, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4791, loss: 9.3128 2022-11-02 21:59:47,072 - mmdet - INFO - Epoch [7][2450/7390] lr: 1.000e-02, eta: 6:02:13, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8301, losses_bboxes: 0.4769, loss: 9.3070 2022-11-02 22:00:13,232 - mmdet - INFO - Epoch [7][2500/7390] lr: 1.000e-02, eta: 6:01:47, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4779, loss: 9.3138 2022-11-02 22:00:38,621 - mmdet - INFO - Epoch [7][2550/7390] lr: 1.000e-02, eta: 6:01:21, time: 0.509, data_time: 0.009, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4757, loss: 9.3084 2022-11-02 22:01:03,987 - mmdet - INFO - Epoch [7][2600/7390] lr: 1.000e-02, eta: 6:00:54, time: 0.508, data_time: 0.008, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4767, loss: 9.3092 2022-11-02 22:01:30,239 - mmdet - INFO - Epoch [7][2650/7390] lr: 1.000e-02, eta: 6:00:28, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4791, loss: 9.3123 2022-11-02 22:01:56,471 - mmdet - INFO - Epoch [7][2700/7390] lr: 1.000e-02, eta: 6:00:03, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8372, losses_bboxes: 0.4767, loss: 9.3139 2022-11-02 22:02:22,577 - mmdet - INFO - Epoch [7][2750/7390] lr: 1.000e-02, eta: 5:59:37, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4771, loss: 9.3124 2022-11-02 22:02:48,793 - mmdet - INFO - Epoch [7][2800/7390] lr: 1.000e-02, eta: 5:59:11, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4763, loss: 9.3090 2022-11-02 22:03:14,661 - mmdet - INFO - Epoch [7][2850/7390] lr: 1.000e-02, eta: 5:58:45, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4772, loss: 9.3116 2022-11-02 22:03:40,795 - mmdet - INFO - Epoch [7][2900/7390] lr: 1.000e-02, eta: 5:58:19, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4765, loss: 9.3110 2022-11-02 22:04:06,874 - mmdet - INFO - Epoch [7][2950/7390] lr: 1.000e-02, eta: 5:57:54, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8384, losses_bboxes: 0.4764, loss: 9.3148 2022-11-02 22:04:32,902 - mmdet - INFO - Epoch [7][3000/7390] lr: 1.000e-02, eta: 5:57:28, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4778, loss: 9.3109 2022-11-02 22:04:58,915 - mmdet - INFO - Epoch [7][3050/7390] lr: 1.000e-02, eta: 5:57:02, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4783, loss: 9.3122 2022-11-02 22:05:24,887 - mmdet - INFO - Epoch [7][3100/7390] lr: 1.000e-02, eta: 5:56:36, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8316, losses_bboxes: 0.4783, loss: 9.3099 2022-11-02 22:05:50,649 - mmdet - INFO - Epoch [7][3150/7390] lr: 1.000e-02, eta: 5:56:10, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4772, loss: 9.3110 2022-11-02 22:06:16,422 - mmdet - INFO - Epoch [7][3200/7390] lr: 1.000e-02, eta: 5:55:44, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8352, losses_bboxes: 0.4772, loss: 9.3124 2022-11-02 22:06:42,282 - mmdet - INFO - Epoch [7][3250/7390] lr: 1.000e-02, eta: 5:55:18, time: 0.520, data_time: 0.010, memory: 43488, loss_cls: 8.8329, losses_bboxes: 0.4757, loss: 9.3086 2022-11-02 22:07:08,188 - mmdet - INFO - Epoch [7][3300/7390] lr: 1.000e-02, eta: 5:54:52, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4769, loss: 9.3125 2022-11-02 22:07:34,498 - mmdet - INFO - Epoch [7][3350/7390] lr: 1.000e-02, eta: 5:54:26, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8361, losses_bboxes: 0.4770, loss: 9.3130 2022-11-02 22:08:00,190 - mmdet - INFO - Epoch [7][3400/7390] lr: 1.000e-02, eta: 5:54:00, time: 0.515, data_time: 0.010, memory: 43488, loss_cls: 8.8313, losses_bboxes: 0.4778, loss: 9.3090 2022-11-02 22:08:26,729 - mmdet - INFO - Epoch [7][3450/7390] lr: 1.000e-02, eta: 5:53:35, time: 0.530, data_time: 0.008, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4766, loss: 9.3112 2022-11-02 22:08:52,938 - mmdet - INFO - Epoch [7][3500/7390] lr: 1.000e-02, eta: 5:53:09, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4760, loss: 9.3079 2022-11-02 22:09:19,229 - mmdet - INFO - Epoch [7][3550/7390] lr: 1.000e-02, eta: 5:52:43, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4779, loss: 9.3123 2022-11-02 22:09:45,359 - mmdet - INFO - Epoch [7][3600/7390] lr: 1.000e-02, eta: 5:52:17, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8302, losses_bboxes: 0.4766, loss: 9.3068 2022-11-02 22:10:11,389 - mmdet - INFO - Epoch [7][3650/7390] lr: 1.000e-02, eta: 5:51:52, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4780, loss: 9.3116 2022-11-02 22:10:37,606 - mmdet - INFO - Epoch [7][3700/7390] lr: 1.000e-02, eta: 5:51:26, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4774, loss: 9.3114 2022-11-02 22:11:03,525 - mmdet - INFO - Epoch [7][3750/7390] lr: 1.000e-02, eta: 5:51:00, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8364, losses_bboxes: 0.4759, loss: 9.3123 2022-11-02 22:11:29,454 - mmdet - INFO - Epoch [7][3800/7390] lr: 1.000e-02, eta: 5:50:34, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4778, loss: 9.3116 2022-11-02 22:11:55,557 - mmdet - INFO - Epoch [7][3850/7390] lr: 1.000e-02, eta: 5:50:08, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4770, loss: 9.3109 2022-11-02 22:12:21,656 - mmdet - INFO - Epoch [7][3900/7390] lr: 1.000e-02, eta: 5:49:42, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4768, loss: 9.3101 2022-11-02 22:12:47,774 - mmdet - INFO - Epoch [7][3950/7390] lr: 1.000e-02, eta: 5:49:17, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8316, losses_bboxes: 0.4773, loss: 9.3089 2022-11-02 22:13:13,613 - mmdet - INFO - Epoch [7][4000/7390] lr: 1.000e-02, eta: 5:48:51, time: 0.516, data_time: 0.007, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4768, loss: 9.3101 2022-11-02 22:13:39,473 - mmdet - INFO - Epoch [7][4050/7390] lr: 1.000e-02, eta: 5:48:24, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4748, loss: 9.3082 2022-11-02 22:14:05,019 - mmdet - INFO - Epoch [7][4100/7390] lr: 1.000e-02, eta: 5:47:58, time: 0.512, data_time: 0.010, memory: 43488, loss_cls: 8.8307, losses_bboxes: 0.4759, loss: 9.3066 2022-11-02 22:14:30,859 - mmdet - INFO - Epoch [7][4150/7390] lr: 1.000e-02, eta: 5:47:32, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4776, loss: 9.3110 2022-11-02 22:14:56,359 - mmdet - INFO - Epoch [7][4200/7390] lr: 1.000e-02, eta: 5:47:06, time: 0.510, data_time: 0.008, memory: 43488, loss_cls: 8.8304, losses_bboxes: 0.4753, loss: 9.3056 2022-11-02 22:15:23,152 - mmdet - INFO - Epoch [7][4250/7390] lr: 1.000e-02, eta: 5:46:41, time: 0.535, data_time: 0.008, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4779, loss: 9.3106 2022-11-02 22:15:49,114 - mmdet - INFO - Epoch [7][4300/7390] lr: 1.000e-02, eta: 5:46:15, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4769, loss: 9.3101 2022-11-02 22:16:15,001 - mmdet - INFO - Epoch [7][4350/7390] lr: 1.000e-02, eta: 5:45:49, time: 0.517, data_time: 0.007, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4763, loss: 9.3102 2022-11-02 22:16:41,094 - mmdet - INFO - Epoch [7][4400/7390] lr: 1.000e-02, eta: 5:45:23, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4769, loss: 9.3125 2022-11-02 22:17:07,196 - mmdet - INFO - Epoch [7][4450/7390] lr: 1.000e-02, eta: 5:44:57, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8369, losses_bboxes: 0.4770, loss: 9.3139 2022-11-02 22:17:32,940 - mmdet - INFO - Epoch [7][4500/7390] lr: 1.000e-02, eta: 5:44:31, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8305, losses_bboxes: 0.4760, loss: 9.3065 2022-11-02 22:17:59,280 - mmdet - INFO - Epoch [7][4550/7390] lr: 1.000e-02, eta: 5:44:05, time: 0.525, data_time: 0.008, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4747, loss: 9.3080 2022-11-02 22:18:25,360 - mmdet - INFO - Epoch [7][4600/7390] lr: 1.000e-02, eta: 5:43:40, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4757, loss: 9.3098 2022-11-02 22:18:51,510 - mmdet - INFO - Epoch [7][4650/7390] lr: 1.000e-02, eta: 5:43:14, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8309, losses_bboxes: 0.4754, loss: 9.3063 2022-11-02 22:19:17,635 - mmdet - INFO - Epoch [7][4700/7390] lr: 1.000e-02, eta: 5:42:48, time: 0.524, data_time: 0.010, memory: 43488, loss_cls: 8.8321, losses_bboxes: 0.4762, loss: 9.3082 2022-11-02 22:19:43,393 - mmdet - INFO - Epoch [7][4750/7390] lr: 1.000e-02, eta: 5:42:22, time: 0.513, data_time: 0.008, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4752, loss: 9.3105 2022-11-02 22:20:09,249 - mmdet - INFO - Epoch [7][4800/7390] lr: 1.000e-02, eta: 5:41:56, time: 0.519, data_time: 0.010, memory: 43488, loss_cls: 8.8318, losses_bboxes: 0.4755, loss: 9.3073 2022-11-02 22:20:35,264 - mmdet - INFO - Epoch [7][4850/7390] lr: 1.000e-02, eta: 5:41:30, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8314, losses_bboxes: 0.4773, loss: 9.3087 2022-11-02 22:21:01,053 - mmdet - INFO - Epoch [7][4900/7390] lr: 1.000e-02, eta: 5:41:04, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8306, losses_bboxes: 0.4754, loss: 9.3059 2022-11-02 22:21:26,339 - mmdet - INFO - Epoch [7][4950/7390] lr: 1.000e-02, eta: 5:40:37, time: 0.507, data_time: 0.010, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4757, loss: 9.3096 2022-11-02 22:21:52,342 - mmdet - INFO - Epoch [7][5000/7390] lr: 1.000e-02, eta: 5:40:12, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8371, losses_bboxes: 0.4760, loss: 9.3131 2022-11-02 22:22:18,347 - mmdet - INFO - Epoch [7][5050/7390] lr: 1.000e-02, eta: 5:39:46, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4775, loss: 9.3124 2022-11-02 22:22:43,754 - mmdet - INFO - Epoch [7][5100/7390] lr: 1.000e-02, eta: 5:39:19, time: 0.510, data_time: 0.010, memory: 43488, loss_cls: 8.8299, losses_bboxes: 0.4764, loss: 9.3063 2022-11-02 22:23:09,493 - mmdet - INFO - Epoch [7][5150/7390] lr: 1.000e-02, eta: 5:38:53, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8302, losses_bboxes: 0.4768, loss: 9.3070 2022-11-02 22:23:35,486 - mmdet - INFO - Epoch [7][5200/7390] lr: 1.000e-02, eta: 5:38:27, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8310, losses_bboxes: 0.4779, loss: 9.3089 2022-11-02 22:24:01,459 - mmdet - INFO - Epoch [7][5250/7390] lr: 1.000e-02, eta: 5:38:01, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4747, loss: 9.3078 2022-11-02 22:24:27,473 - mmdet - INFO - Epoch [7][5300/7390] lr: 1.000e-02, eta: 5:37:35, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8364, losses_bboxes: 0.4766, loss: 9.3129 2022-11-02 22:24:53,181 - mmdet - INFO - Epoch [7][5350/7390] lr: 1.000e-02, eta: 5:37:09, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4751, loss: 9.3070 2022-11-02 22:25:18,923 - mmdet - INFO - Epoch [7][5400/7390] lr: 1.000e-02, eta: 5:36:43, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4766, loss: 9.3094 2022-11-02 22:25:44,943 - mmdet - INFO - Epoch [7][5450/7390] lr: 1.000e-02, eta: 5:36:17, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8309, losses_bboxes: 0.4786, loss: 9.3095 2022-11-02 22:26:11,128 - mmdet - INFO - Epoch [7][5500/7390] lr: 1.000e-02, eta: 5:35:52, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4762, loss: 9.3082 2022-11-02 22:26:37,242 - mmdet - INFO - Epoch [7][5550/7390] lr: 1.000e-02, eta: 5:35:26, time: 0.524, data_time: 0.010, memory: 43488, loss_cls: 8.8352, losses_bboxes: 0.4770, loss: 9.3122 2022-11-02 22:27:03,437 - mmdet - INFO - Epoch [7][5600/7390] lr: 1.000e-02, eta: 5:35:00, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4767, loss: 9.3086 2022-11-02 22:27:29,445 - mmdet - INFO - Epoch [7][5650/7390] lr: 1.000e-02, eta: 5:34:34, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4777, loss: 9.3134 2022-11-02 22:27:55,582 - mmdet - INFO - Epoch [7][5700/7390] lr: 1.000e-02, eta: 5:34:08, time: 0.524, data_time: 0.010, memory: 43488, loss_cls: 8.8314, losses_bboxes: 0.4764, loss: 9.3078 2022-11-02 22:28:21,319 - mmdet - INFO - Epoch [7][5750/7390] lr: 1.000e-02, eta: 5:33:42, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8293, losses_bboxes: 0.4750, loss: 9.3044 2022-11-02 22:28:47,386 - mmdet - INFO - Epoch [7][5800/7390] lr: 1.000e-02, eta: 5:33:16, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8335, losses_bboxes: 0.4761, loss: 9.3095 2022-11-02 22:29:12,929 - mmdet - INFO - Epoch [7][5850/7390] lr: 1.000e-02, eta: 5:32:50, time: 0.512, data_time: 0.010, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4763, loss: 9.3104 2022-11-02 22:29:39,009 - mmdet - INFO - Epoch [7][5900/7390] lr: 1.000e-02, eta: 5:32:24, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8323, losses_bboxes: 0.4749, loss: 9.3072 2022-11-02 22:30:05,028 - mmdet - INFO - Epoch [7][5950/7390] lr: 1.000e-02, eta: 5:31:58, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4760, loss: 9.3085 2022-11-02 22:30:31,286 - mmdet - INFO - Epoch [7][6000/7390] lr: 1.000e-02, eta: 5:31:33, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4757, loss: 9.3088 2022-11-02 22:30:57,164 - mmdet - INFO - Epoch [7][6050/7390] lr: 1.000e-02, eta: 5:31:07, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4764, loss: 9.3120 2022-11-02 22:31:23,538 - mmdet - INFO - Epoch [7][6100/7390] lr: 1.000e-02, eta: 5:30:41, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4776, loss: 9.3096 2022-11-02 22:31:49,400 - mmdet - INFO - Epoch [7][6150/7390] lr: 1.000e-02, eta: 5:30:15, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8355, losses_bboxes: 0.4761, loss: 9.3116 2022-11-02 22:32:15,265 - mmdet - INFO - Epoch [7][6200/7390] lr: 1.000e-02, eta: 5:29:49, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8318, losses_bboxes: 0.4782, loss: 9.3100 2022-11-02 22:32:40,884 - mmdet - INFO - Epoch [7][6250/7390] lr: 1.000e-02, eta: 5:29:23, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4751, loss: 9.3095 2022-11-02 22:33:06,780 - mmdet - INFO - Epoch [7][6300/7390] lr: 1.000e-02, eta: 5:28:57, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4748, loss: 9.3075 2022-11-02 22:33:32,480 - mmdet - INFO - Epoch [7][6350/7390] lr: 1.000e-02, eta: 5:28:31, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8335, losses_bboxes: 0.4762, loss: 9.3097 2022-11-02 22:33:58,028 - mmdet - INFO - Epoch [7][6400/7390] lr: 1.000e-02, eta: 5:28:05, time: 0.511, data_time: 0.008, memory: 43488, loss_cls: 8.8296, losses_bboxes: 0.4756, loss: 9.3052 2022-11-02 22:34:24,212 - mmdet - INFO - Epoch [7][6450/7390] lr: 1.000e-02, eta: 5:27:39, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8293, losses_bboxes: 0.4768, loss: 9.3061 2022-11-02 22:34:50,240 - mmdet - INFO - Epoch [7][6500/7390] lr: 1.000e-02, eta: 5:27:13, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8335, losses_bboxes: 0.4754, loss: 9.3088 2022-11-02 22:35:16,572 - mmdet - INFO - Epoch [7][6550/7390] lr: 1.000e-02, eta: 5:26:47, time: 0.527, data_time: 0.010, memory: 43488, loss_cls: 8.8311, losses_bboxes: 0.4757, loss: 9.3068 2022-11-02 22:35:42,901 - mmdet - INFO - Epoch [7][6600/7390] lr: 1.000e-02, eta: 5:26:22, time: 0.527, data_time: 0.011, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4744, loss: 9.3070 2022-11-02 22:36:09,299 - mmdet - INFO - Epoch [7][6650/7390] lr: 1.000e-02, eta: 5:25:56, time: 0.529, data_time: 0.010, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4772, loss: 9.3122 2022-11-02 22:36:35,274 - mmdet - INFO - Epoch [7][6700/7390] lr: 1.000e-02, eta: 5:25:30, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8365, losses_bboxes: 0.4765, loss: 9.3131 2022-11-02 22:37:00,743 - mmdet - INFO - Epoch [7][6750/7390] lr: 1.000e-02, eta: 5:25:04, time: 0.511, data_time: 0.009, memory: 43488, loss_cls: 8.8297, losses_bboxes: 0.4746, loss: 9.3043 2022-11-02 22:37:26,157 - mmdet - INFO - Epoch [7][6800/7390] lr: 1.000e-02, eta: 5:24:37, time: 0.507, data_time: 0.008, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4769, loss: 9.3097 2022-11-02 22:37:52,329 - mmdet - INFO - Epoch [7][6850/7390] lr: 1.000e-02, eta: 5:24:12, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8316, losses_bboxes: 0.4752, loss: 9.3069 2022-11-02 22:38:18,032 - mmdet - INFO - Epoch [7][6900/7390] lr: 1.000e-02, eta: 5:23:46, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4773, loss: 9.3104 2022-11-02 22:38:43,862 - mmdet - INFO - Epoch [7][6950/7390] lr: 1.000e-02, eta: 5:23:20, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4744, loss: 9.3083 2022-11-02 22:39:10,104 - mmdet - INFO - Epoch [7][7000/7390] lr: 1.000e-02, eta: 5:22:54, time: 0.526, data_time: 0.009, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4746, loss: 9.3095 2022-11-02 22:39:36,309 - mmdet - INFO - Epoch [7][7050/7390] lr: 1.000e-02, eta: 5:22:28, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8304, losses_bboxes: 0.4769, loss: 9.3073 2022-11-02 22:40:02,205 - mmdet - INFO - Epoch [7][7100/7390] lr: 1.000e-02, eta: 5:22:02, time: 0.518, data_time: 0.010, memory: 43488, loss_cls: 8.8310, losses_bboxes: 0.4758, loss: 9.3069 2022-11-02 22:40:28,106 - mmdet - INFO - Epoch [7][7150/7390] lr: 1.000e-02, eta: 5:21:36, time: 0.520, data_time: 0.010, memory: 43488, loss_cls: 8.8307, losses_bboxes: 0.4753, loss: 9.3061 2022-11-02 22:40:54,417 - mmdet - INFO - Epoch [7][7200/7390] lr: 1.000e-02, eta: 5:21:10, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4769, loss: 9.3115 2022-11-02 22:41:20,331 - mmdet - INFO - Epoch [7][7250/7390] lr: 1.000e-02, eta: 5:20:44, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8306, losses_bboxes: 0.4749, loss: 9.3055 2022-11-02 22:41:46,092 - mmdet - INFO - Epoch [7][7300/7390] lr: 1.000e-02, eta: 5:20:18, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8315, losses_bboxes: 0.4763, loss: 9.3078 2022-11-02 22:42:11,894 - mmdet - INFO - Epoch [7][7350/7390] lr: 1.000e-02, eta: 5:19:52, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4749, loss: 9.3081 2022-11-02 22:42:33,326 - mmdet - INFO - Saving checkpoint at 7 epochs 2022-11-02 22:43:03,421 - mmdet - INFO - Epoch [8][50/7390] lr: 1.000e-02, eta: 5:18:53, time: 0.581, data_time: 0.068, memory: 43488, loss_cls: 8.8301, losses_bboxes: 0.4759, loss: 9.3060 2022-11-02 22:43:29,795 - mmdet - INFO - Epoch [8][100/7390] lr: 1.000e-02, eta: 5:18:27, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4756, loss: 9.3089 2022-11-02 22:43:55,596 - mmdet - INFO - Epoch [8][150/7390] lr: 1.000e-02, eta: 5:18:01, time: 0.517, data_time: 0.010, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4754, loss: 9.3093 2022-11-02 22:44:21,512 - mmdet - INFO - Epoch [8][200/7390] lr: 1.000e-02, eta: 5:17:36, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4763, loss: 9.3112 2022-11-02 22:44:47,515 - mmdet - INFO - Epoch [8][250/7390] lr: 1.000e-02, eta: 5:17:10, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8316, losses_bboxes: 0.4762, loss: 9.3078 2022-11-02 22:45:13,251 - mmdet - INFO - Epoch [8][300/7390] lr: 1.000e-02, eta: 5:16:44, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8317, losses_bboxes: 0.4755, loss: 9.3071 2022-11-02 22:45:39,079 - mmdet - INFO - Epoch [8][350/7390] lr: 1.000e-02, eta: 5:16:18, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4765, loss: 9.3100 2022-11-02 22:46:05,334 - mmdet - INFO - Epoch [8][400/7390] lr: 1.000e-02, eta: 5:15:52, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4749, loss: 9.3083 2022-11-02 22:46:31,265 - mmdet - INFO - Epoch [8][450/7390] lr: 1.000e-02, eta: 5:15:26, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8318, losses_bboxes: 0.4766, loss: 9.3084 2022-11-02 22:46:56,995 - mmdet - INFO - Epoch [8][500/7390] lr: 1.000e-02, eta: 5:15:00, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8312, losses_bboxes: 0.4766, loss: 9.3078 2022-11-02 22:47:23,081 - mmdet - INFO - Epoch [8][550/7390] lr: 1.000e-02, eta: 5:14:34, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4764, loss: 9.3086 2022-11-02 22:47:49,312 - mmdet - INFO - Epoch [8][600/7390] lr: 1.000e-02, eta: 5:14:08, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4748, loss: 9.3070 2022-11-02 22:48:15,260 - mmdet - INFO - Epoch [8][650/7390] lr: 1.000e-02, eta: 5:13:42, time: 0.518, data_time: 0.010, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4766, loss: 9.3091 2022-11-02 22:48:41,017 - mmdet - INFO - Epoch [8][700/7390] lr: 1.000e-02, eta: 5:13:16, time: 0.516, data_time: 0.011, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4766, loss: 9.3114 2022-11-02 22:49:07,312 - mmdet - INFO - Epoch [8][750/7390] lr: 1.000e-02, eta: 5:12:51, time: 0.528, data_time: 0.010, memory: 43488, loss_cls: 8.8358, losses_bboxes: 0.4760, loss: 9.3118 2022-11-02 22:49:32,864 - mmdet - INFO - Epoch [8][800/7390] lr: 1.000e-02, eta: 5:12:25, time: 0.510, data_time: 0.008, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4753, loss: 9.3088 2022-11-02 22:49:58,948 - mmdet - INFO - Epoch [8][850/7390] lr: 1.000e-02, eta: 5:11:59, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4759, loss: 9.3096 2022-11-02 22:50:25,102 - mmdet - INFO - Epoch [8][900/7390] lr: 1.000e-02, eta: 5:11:33, time: 0.523, data_time: 0.010, memory: 43488, loss_cls: 8.8368, losses_bboxes: 0.4752, loss: 9.3120 2022-11-02 22:50:51,407 - mmdet - INFO - Epoch [8][950/7390] lr: 1.000e-02, eta: 5:11:07, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4752, loss: 9.3095 2022-11-02 22:51:17,352 - mmdet - INFO - Epoch [8][1000/7390] lr: 1.000e-02, eta: 5:10:41, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4768, loss: 9.3093 2022-11-02 22:51:43,087 - mmdet - INFO - Epoch [8][1050/7390] lr: 1.000e-02, eta: 5:10:15, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4746, loss: 9.3087 2022-11-02 22:52:09,143 - mmdet - INFO - Epoch [8][1100/7390] lr: 1.000e-02, eta: 5:09:50, time: 0.520, data_time: 0.007, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4759, loss: 9.3091 2022-11-02 22:52:35,478 - mmdet - INFO - Epoch [8][1150/7390] lr: 1.000e-02, eta: 5:09:24, time: 0.527, data_time: 0.008, memory: 43488, loss_cls: 8.8323, losses_bboxes: 0.4768, loss: 9.3091 2022-11-02 22:53:01,201 - mmdet - INFO - Epoch [8][1200/7390] lr: 1.000e-02, eta: 5:08:58, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4759, loss: 9.3086 2022-11-02 22:53:26,768 - mmdet - INFO - Epoch [8][1250/7390] lr: 1.000e-02, eta: 5:08:32, time: 0.513, data_time: 0.009, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4743, loss: 9.3075 2022-11-02 22:53:52,304 - mmdet - INFO - Epoch [8][1300/7390] lr: 1.000e-02, eta: 5:08:05, time: 0.507, data_time: 0.007, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4765, loss: 9.3106 2022-11-02 22:54:18,414 - mmdet - INFO - Epoch [8][1350/7390] lr: 1.000e-02, eta: 5:07:40, time: 0.526, data_time: 0.011, memory: 43488, loss_cls: 8.8299, losses_bboxes: 0.4754, loss: 9.3053 2022-11-02 22:54:44,489 - mmdet - INFO - Epoch [8][1400/7390] lr: 1.000e-02, eta: 5:07:14, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8323, losses_bboxes: 0.4763, loss: 9.3086 2022-11-02 22:55:10,176 - mmdet - INFO - Epoch [8][1450/7390] lr: 1.000e-02, eta: 5:06:48, time: 0.512, data_time: 0.009, memory: 43488, loss_cls: 8.8317, losses_bboxes: 0.4749, loss: 9.3066 2022-11-02 22:55:36,400 - mmdet - INFO - Epoch [8][1500/7390] lr: 1.000e-02, eta: 5:06:22, time: 0.527, data_time: 0.010, memory: 43488, loss_cls: 8.8321, losses_bboxes: 0.4763, loss: 9.3083 2022-11-02 22:56:02,505 - mmdet - INFO - Epoch [8][1550/7390] lr: 1.000e-02, eta: 5:05:56, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8281, losses_bboxes: 0.4733, loss: 9.3014 2022-11-02 22:56:28,230 - mmdet - INFO - Epoch [8][1600/7390] lr: 1.000e-02, eta: 5:05:30, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4763, loss: 9.3083 2022-11-02 22:56:54,192 - mmdet - INFO - Epoch [8][1650/7390] lr: 1.000e-02, eta: 5:05:04, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4750, loss: 9.3077 2022-11-02 22:57:20,078 - mmdet - INFO - Epoch [8][1700/7390] lr: 1.000e-02, eta: 5:04:38, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8299, losses_bboxes: 0.4737, loss: 9.3036 2022-11-02 22:57:45,481 - mmdet - INFO - Epoch [8][1750/7390] lr: 1.000e-02, eta: 5:04:12, time: 0.506, data_time: 0.008, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4759, loss: 9.3087 2022-11-02 22:58:11,594 - mmdet - INFO - Epoch [8][1800/7390] lr: 1.000e-02, eta: 5:03:46, time: 0.523, data_time: 0.010, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4757, loss: 9.3098 2022-11-02 22:58:36,924 - mmdet - INFO - Epoch [8][1850/7390] lr: 1.000e-02, eta: 5:03:20, time: 0.507, data_time: 0.009, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4739, loss: 9.3062 2022-11-02 22:59:03,115 - mmdet - INFO - Epoch [8][1900/7390] lr: 1.000e-02, eta: 5:02:54, time: 0.524, data_time: 0.009, memory: 43488, loss_cls: 8.8297, losses_bboxes: 0.4753, loss: 9.3051 2022-11-02 22:59:29,041 - mmdet - INFO - Epoch [8][1950/7390] lr: 1.000e-02, eta: 5:02:28, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8291, losses_bboxes: 0.4764, loss: 9.3055 2022-11-02 22:59:55,336 - mmdet - INFO - Epoch [8][2000/7390] lr: 1.000e-02, eta: 5:02:02, time: 0.524, data_time: 0.009, memory: 43488, loss_cls: 8.8293, losses_bboxes: 0.4758, loss: 9.3051 2022-11-02 23:00:21,494 - mmdet - INFO - Epoch [8][2050/7390] lr: 1.000e-02, eta: 5:01:37, time: 0.526, data_time: 0.011, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4763, loss: 9.3114 2022-11-02 23:00:47,545 - mmdet - INFO - Epoch [8][2100/7390] lr: 1.000e-02, eta: 5:01:11, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8318, losses_bboxes: 0.4771, loss: 9.3089 2022-11-02 23:01:13,195 - mmdet - INFO - Epoch [8][2150/7390] lr: 1.000e-02, eta: 5:00:45, time: 0.513, data_time: 0.010, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4755, loss: 9.3095 2022-11-02 23:01:39,108 - mmdet - INFO - Epoch [8][2200/7390] lr: 1.000e-02, eta: 5:00:19, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4749, loss: 9.3077 2022-11-02 23:02:05,085 - mmdet - INFO - Epoch [8][2250/7390] lr: 1.000e-02, eta: 4:59:53, time: 0.520, data_time: 0.010, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4752, loss: 9.3082 2022-11-02 23:02:30,820 - mmdet - INFO - Epoch [8][2300/7390] lr: 1.000e-02, eta: 4:59:27, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4754, loss: 9.3075 2022-11-02 23:02:56,190 - mmdet - INFO - Epoch [8][2350/7390] lr: 1.000e-02, eta: 4:59:01, time: 0.508, data_time: 0.009, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4754, loss: 9.3082 2022-11-02 23:03:22,206 - mmdet - INFO - Epoch [8][2400/7390] lr: 1.000e-02, eta: 4:58:35, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4754, loss: 9.3099 2022-11-02 23:03:48,137 - mmdet - INFO - Epoch [8][2450/7390] lr: 1.000e-02, eta: 4:58:09, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4768, loss: 9.3095 2022-11-02 23:04:14,098 - mmdet - INFO - Epoch [8][2500/7390] lr: 1.000e-02, eta: 4:57:43, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8324, losses_bboxes: 0.4744, loss: 9.3068 2022-11-02 23:04:39,582 - mmdet - INFO - Epoch [8][2550/7390] lr: 1.000e-02, eta: 4:57:17, time: 0.510, data_time: 0.009, memory: 43488, loss_cls: 8.8307, losses_bboxes: 0.4744, loss: 9.3051 2022-11-02 23:05:05,726 - mmdet - INFO - Epoch [8][2600/7390] lr: 1.000e-02, eta: 4:56:51, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8361, losses_bboxes: 0.4761, loss: 9.3122 2022-11-02 23:05:31,729 - mmdet - INFO - Epoch [8][2650/7390] lr: 1.000e-02, eta: 4:56:25, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8312, losses_bboxes: 0.4777, loss: 9.3089 2022-11-02 23:05:57,756 - mmdet - INFO - Epoch [8][2700/7390] lr: 1.000e-02, eta: 4:55:59, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4725, loss: 9.3063 2022-11-02 23:06:23,196 - mmdet - INFO - Epoch [8][2750/7390] lr: 1.000e-02, eta: 4:55:33, time: 0.508, data_time: 0.009, memory: 43488, loss_cls: 8.8317, losses_bboxes: 0.4738, loss: 9.3055 2022-11-02 23:06:49,166 - mmdet - INFO - Epoch [8][2800/7390] lr: 1.000e-02, eta: 4:55:07, time: 0.519, data_time: 0.010, memory: 43488, loss_cls: 8.8281, losses_bboxes: 0.4759, loss: 9.3040 2022-11-02 23:07:14,715 - mmdet - INFO - Epoch [8][2850/7390] lr: 1.000e-02, eta: 4:54:41, time: 0.513, data_time: 0.010, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4761, loss: 9.3094 2022-11-02 23:07:40,529 - mmdet - INFO - Epoch [8][2900/7390] lr: 1.000e-02, eta: 4:54:15, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8307, losses_bboxes: 0.4755, loss: 9.3062 2022-11-02 23:08:06,283 - mmdet - INFO - Epoch [8][2950/7390] lr: 1.000e-02, eta: 4:53:49, time: 0.517, data_time: 0.010, memory: 43488, loss_cls: 8.8366, losses_bboxes: 0.4767, loss: 9.3133 2022-11-02 23:08:32,230 - mmdet - INFO - Epoch [8][3000/7390] lr: 1.000e-02, eta: 4:53:23, time: 0.518, data_time: 0.007, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4743, loss: 9.3071 2022-11-02 23:08:58,311 - mmdet - INFO - Epoch [8][3050/7390] lr: 1.000e-02, eta: 4:52:57, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8335, losses_bboxes: 0.4765, loss: 9.3100 2022-11-02 23:09:23,772 - mmdet - INFO - Epoch [8][3100/7390] lr: 1.000e-02, eta: 4:52:31, time: 0.509, data_time: 0.007, memory: 43488, loss_cls: 8.8300, losses_bboxes: 0.4760, loss: 9.3060 2022-11-02 23:09:50,111 - mmdet - INFO - Epoch [8][3150/7390] lr: 1.000e-02, eta: 4:52:05, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8297, losses_bboxes: 0.4757, loss: 9.3054 2022-11-02 23:10:15,598 - mmdet - INFO - Epoch [8][3200/7390] lr: 1.000e-02, eta: 4:51:39, time: 0.508, data_time: 0.009, memory: 43488, loss_cls: 8.8287, losses_bboxes: 0.4775, loss: 9.3063 2022-11-02 23:10:41,762 - mmdet - INFO - Epoch [8][3250/7390] lr: 1.000e-02, eta: 4:51:13, time: 0.526, data_time: 0.010, memory: 43488, loss_cls: 8.8313, losses_bboxes: 0.4756, loss: 9.3069 2022-11-02 23:11:07,740 - mmdet - INFO - Epoch [8][3300/7390] lr: 1.000e-02, eta: 4:50:47, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4748, loss: 9.3101 2022-11-02 23:11:33,750 - mmdet - INFO - Epoch [8][3350/7390] lr: 1.000e-02, eta: 4:50:22, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4758, loss: 9.3084 2022-11-02 23:11:59,586 - mmdet - INFO - Epoch [8][3400/7390] lr: 1.000e-02, eta: 4:49:56, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8324, losses_bboxes: 0.4747, loss: 9.3072 2022-11-02 23:12:25,408 - mmdet - INFO - Epoch [8][3450/7390] lr: 1.000e-02, eta: 4:49:30, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4744, loss: 9.3069 2022-11-02 23:12:50,885 - mmdet - INFO - Epoch [8][3500/7390] lr: 1.000e-02, eta: 4:49:03, time: 0.507, data_time: 0.008, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4756, loss: 9.3076 2022-11-02 23:13:16,351 - mmdet - INFO - Epoch [8][3550/7390] lr: 1.000e-02, eta: 4:48:37, time: 0.511, data_time: 0.010, memory: 43488, loss_cls: 8.8313, losses_bboxes: 0.4758, loss: 9.3072 2022-11-02 23:13:42,506 - mmdet - INFO - Epoch [8][3600/7390] lr: 1.000e-02, eta: 4:48:11, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4759, loss: 9.3087 2022-11-02 23:14:08,462 - mmdet - INFO - Epoch [8][3650/7390] lr: 1.000e-02, eta: 4:47:45, time: 0.521, data_time: 0.010, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4732, loss: 9.3052 2022-11-02 23:14:34,587 - mmdet - INFO - Epoch [8][3700/7390] lr: 1.000e-02, eta: 4:47:20, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8318, losses_bboxes: 0.4767, loss: 9.3085 2022-11-02 23:15:00,887 - mmdet - INFO - Epoch [8][3750/7390] lr: 1.000e-02, eta: 4:46:54, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8324, losses_bboxes: 0.4749, loss: 9.3072 2022-11-02 23:15:26,964 - mmdet - INFO - Epoch [8][3800/7390] lr: 1.000e-02, eta: 4:46:28, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4772, loss: 9.3097 2022-11-02 23:15:52,670 - mmdet - INFO - Epoch [8][3850/7390] lr: 1.000e-02, eta: 4:46:02, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8316, losses_bboxes: 0.4745, loss: 9.3061 2022-11-02 23:16:18,751 - mmdet - INFO - Epoch [8][3900/7390] lr: 1.000e-02, eta: 4:45:36, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8311, losses_bboxes: 0.4754, loss: 9.3065 2022-11-02 23:16:44,970 - mmdet - INFO - Epoch [8][3950/7390] lr: 1.000e-02, eta: 4:45:10, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8308, losses_bboxes: 0.4744, loss: 9.3052 2022-11-02 23:17:10,611 - mmdet - INFO - Epoch [8][4000/7390] lr: 1.000e-02, eta: 4:44:44, time: 0.511, data_time: 0.009, memory: 43488, loss_cls: 8.8321, losses_bboxes: 0.4760, loss: 9.3080 2022-11-02 23:17:36,437 - mmdet - INFO - Epoch [8][4050/7390] lr: 1.000e-02, eta: 4:44:18, time: 0.519, data_time: 0.010, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4742, loss: 9.3085 2022-11-02 23:18:02,303 - mmdet - INFO - Epoch [8][4100/7390] lr: 1.000e-02, eta: 4:43:52, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4762, loss: 9.3089 2022-11-02 23:18:27,924 - mmdet - INFO - Epoch [8][4150/7390] lr: 1.000e-02, eta: 4:43:26, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8301, losses_bboxes: 0.4756, loss: 9.3057 2022-11-02 23:18:53,974 - mmdet - INFO - Epoch [8][4200/7390] lr: 1.000e-02, eta: 4:43:00, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8317, losses_bboxes: 0.4737, loss: 9.3054 2022-11-02 23:19:20,595 - mmdet - INFO - Epoch [8][4250/7390] lr: 1.000e-02, eta: 4:42:35, time: 0.531, data_time: 0.009, memory: 43488, loss_cls: 8.8308, losses_bboxes: 0.4760, loss: 9.3068 2022-11-02 23:19:46,714 - mmdet - INFO - Epoch [8][4300/7390] lr: 1.000e-02, eta: 4:42:09, time: 0.524, data_time: 0.011, memory: 43488, loss_cls: 8.8316, losses_bboxes: 0.4753, loss: 9.3069 2022-11-02 23:20:12,630 - mmdet - INFO - Epoch [8][4350/7390] lr: 1.000e-02, eta: 4:41:43, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4756, loss: 9.3100 2022-11-02 23:20:38,544 - mmdet - INFO - Epoch [8][4400/7390] lr: 1.000e-02, eta: 4:41:17, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4734, loss: 9.3085 2022-11-02 23:21:04,234 - mmdet - INFO - Epoch [8][4450/7390] lr: 1.000e-02, eta: 4:40:51, time: 0.514, data_time: 0.010, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4738, loss: 9.3076 2022-11-02 23:21:30,034 - mmdet - INFO - Epoch [8][4500/7390] lr: 1.000e-02, eta: 4:40:25, time: 0.518, data_time: 0.010, memory: 43488, loss_cls: 8.8307, losses_bboxes: 0.4742, loss: 9.3049 2022-11-02 23:21:56,097 - mmdet - INFO - Epoch [8][4550/7390] lr: 1.000e-02, eta: 4:39:59, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4741, loss: 9.3066 2022-11-02 23:22:22,358 - mmdet - INFO - Epoch [8][4600/7390] lr: 1.000e-02, eta: 4:39:34, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8278, losses_bboxes: 0.4743, loss: 9.3020 2022-11-02 23:22:47,947 - mmdet - INFO - Epoch [8][4650/7390] lr: 1.000e-02, eta: 4:39:08, time: 0.512, data_time: 0.009, memory: 43488, loss_cls: 8.8268, losses_bboxes: 0.4758, loss: 9.3025 2022-11-02 23:23:14,046 - mmdet - INFO - Epoch [8][4700/7390] lr: 1.000e-02, eta: 4:38:42, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8284, losses_bboxes: 0.4751, loss: 9.3034 2022-11-02 23:23:39,364 - mmdet - INFO - Epoch [8][4750/7390] lr: 1.000e-02, eta: 4:38:15, time: 0.507, data_time: 0.010, memory: 43488, loss_cls: 8.8300, losses_bboxes: 0.4751, loss: 9.3051 2022-11-02 23:24:04,864 - mmdet - INFO - Epoch [8][4800/7390] lr: 1.000e-02, eta: 4:37:49, time: 0.509, data_time: 0.008, memory: 43488, loss_cls: 8.8308, losses_bboxes: 0.4731, loss: 9.3039 2022-11-02 23:24:30,775 - mmdet - INFO - Epoch [8][4850/7390] lr: 1.000e-02, eta: 4:37:23, time: 0.519, data_time: 0.010, memory: 43488, loss_cls: 8.8302, losses_bboxes: 0.4740, loss: 9.3042 2022-11-02 23:24:56,179 - mmdet - INFO - Epoch [8][4900/7390] lr: 1.000e-02, eta: 4:36:57, time: 0.510, data_time: 0.009, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4748, loss: 9.3070 2022-11-02 23:25:22,261 - mmdet - INFO - Epoch [8][4950/7390] lr: 1.000e-02, eta: 4:36:31, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4749, loss: 9.3073 2022-11-02 23:25:47,812 - mmdet - INFO - Epoch [8][5000/7390] lr: 1.000e-02, eta: 4:36:05, time: 0.511, data_time: 0.009, memory: 43488, loss_cls: 8.8305, losses_bboxes: 0.4748, loss: 9.3053 2022-11-02 23:26:14,204 - mmdet - INFO - Epoch [8][5050/7390] lr: 1.000e-02, eta: 4:35:39, time: 0.526, data_time: 0.009, memory: 43488, loss_cls: 8.8376, losses_bboxes: 0.4754, loss: 9.3129 2022-11-02 23:26:40,403 - mmdet - INFO - Epoch [8][5100/7390] lr: 1.000e-02, eta: 4:35:14, time: 0.525, data_time: 0.010, memory: 43488, loss_cls: 8.8291, losses_bboxes: 0.4752, loss: 9.3043 2022-11-02 23:27:06,598 - mmdet - INFO - Epoch [8][5150/7390] lr: 1.000e-02, eta: 4:34:48, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8294, losses_bboxes: 0.4764, loss: 9.3058 2022-11-02 23:27:32,757 - mmdet - INFO - Epoch [8][5200/7390] lr: 1.000e-02, eta: 4:34:22, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8305, losses_bboxes: 0.4748, loss: 9.3053 2022-11-02 23:27:58,431 - mmdet - INFO - Epoch [8][5250/7390] lr: 1.000e-02, eta: 4:33:56, time: 0.515, data_time: 0.011, memory: 43488, loss_cls: 8.8303, losses_bboxes: 0.4751, loss: 9.3054 2022-11-02 23:28:24,291 - mmdet - INFO - Epoch [8][5300/7390] lr: 1.000e-02, eta: 4:33:30, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4738, loss: 9.3075 2022-11-02 23:28:50,477 - mmdet - INFO - Epoch [8][5350/7390] lr: 1.000e-02, eta: 4:33:04, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4764, loss: 9.3092 2022-11-02 23:29:15,859 - mmdet - INFO - Epoch [8][5400/7390] lr: 1.000e-02, eta: 4:32:38, time: 0.506, data_time: 0.008, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4724, loss: 9.3044 2022-11-02 23:29:42,194 - mmdet - INFO - Epoch [8][5450/7390] lr: 1.000e-02, eta: 4:32:12, time: 0.528, data_time: 0.009, memory: 43488, loss_cls: 8.8318, losses_bboxes: 0.4736, loss: 9.3054 2022-11-02 23:30:07,959 - mmdet - INFO - Epoch [8][5500/7390] lr: 1.000e-02, eta: 4:31:46, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8296, losses_bboxes: 0.4734, loss: 9.3031 2022-11-02 23:30:33,923 - mmdet - INFO - Epoch [8][5550/7390] lr: 1.000e-02, eta: 4:31:20, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4751, loss: 9.3094 2022-11-02 23:30:59,940 - mmdet - INFO - Epoch [8][5600/7390] lr: 1.000e-02, eta: 4:30:55, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4756, loss: 9.3089 2022-11-02 23:31:25,625 - mmdet - INFO - Epoch [8][5650/7390] lr: 1.000e-02, eta: 4:30:29, time: 0.513, data_time: 0.009, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4734, loss: 9.3076 2022-11-02 23:31:51,474 - mmdet - INFO - Epoch [8][5700/7390] lr: 1.000e-02, eta: 4:30:03, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8304, losses_bboxes: 0.4744, loss: 9.3047 2022-11-02 23:32:17,155 - mmdet - INFO - Epoch [8][5750/7390] lr: 1.000e-02, eta: 4:29:37, time: 0.515, data_time: 0.010, memory: 43488, loss_cls: 8.8300, losses_bboxes: 0.4744, loss: 9.3043 2022-11-02 23:32:43,080 - mmdet - INFO - Epoch [8][5800/7390] lr: 1.000e-02, eta: 4:29:11, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8314, losses_bboxes: 0.4738, loss: 9.3052 2022-11-02 23:33:08,961 - mmdet - INFO - Epoch [8][5850/7390] lr: 1.000e-02, eta: 4:28:45, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4735, loss: 9.3081 2022-11-02 23:33:35,267 - mmdet - INFO - Epoch [8][5900/7390] lr: 1.000e-02, eta: 4:28:19, time: 0.526, data_time: 0.009, memory: 43488, loss_cls: 8.8295, losses_bboxes: 0.4748, loss: 9.3043 2022-11-02 23:34:01,751 - mmdet - INFO - Epoch [8][5950/7390] lr: 1.000e-02, eta: 4:27:53, time: 0.531, data_time: 0.009, memory: 43488, loss_cls: 8.8296, losses_bboxes: 0.4737, loss: 9.3033 2022-11-02 23:34:28,291 - mmdet - INFO - Epoch [8][6000/7390] lr: 1.000e-02, eta: 4:27:28, time: 0.530, data_time: 0.008, memory: 43488, loss_cls: 8.8324, losses_bboxes: 0.4767, loss: 9.3091 2022-11-02 23:34:54,132 - mmdet - INFO - Epoch [8][6050/7390] lr: 1.000e-02, eta: 4:27:02, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8299, losses_bboxes: 0.4720, loss: 9.3019 2022-11-02 23:35:20,154 - mmdet - INFO - Epoch [8][6100/7390] lr: 1.000e-02, eta: 4:26:36, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4743, loss: 9.3083 2022-11-02 23:35:46,322 - mmdet - INFO - Epoch [8][6150/7390] lr: 1.000e-02, eta: 4:26:10, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4752, loss: 9.3096 2022-11-02 23:36:12,380 - mmdet - INFO - Epoch [8][6200/7390] lr: 1.000e-02, eta: 4:25:44, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4758, loss: 9.3097 2022-11-02 23:36:37,985 - mmdet - INFO - Epoch [8][6250/7390] lr: 1.000e-02, eta: 4:25:18, time: 0.513, data_time: 0.009, memory: 43488, loss_cls: 8.8317, losses_bboxes: 0.4743, loss: 9.3060 2022-11-02 23:37:04,194 - mmdet - INFO - Epoch [8][6300/7390] lr: 1.000e-02, eta: 4:24:52, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8314, losses_bboxes: 0.4748, loss: 9.3062 2022-11-02 23:37:30,287 - mmdet - INFO - Epoch [8][6350/7390] lr: 1.000e-02, eta: 4:24:26, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4749, loss: 9.3076 2022-11-02 23:37:56,161 - mmdet - INFO - Epoch [8][6400/7390] lr: 1.000e-02, eta: 4:24:01, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8299, losses_bboxes: 0.4724, loss: 9.3024 2022-11-02 23:38:21,878 - mmdet - INFO - Epoch [8][6450/7390] lr: 1.000e-02, eta: 4:23:34, time: 0.513, data_time: 0.008, memory: 43488, loss_cls: 8.8311, losses_bboxes: 0.4744, loss: 9.3055 2022-11-02 23:38:47,900 - mmdet - INFO - Epoch [8][6500/7390] lr: 1.000e-02, eta: 4:23:09, time: 0.521, data_time: 0.010, memory: 43488, loss_cls: 8.8299, losses_bboxes: 0.4741, loss: 9.3040 2022-11-02 23:39:13,848 - mmdet - INFO - Epoch [8][6550/7390] lr: 1.000e-02, eta: 4:22:43, time: 0.521, data_time: 0.010, memory: 43488, loss_cls: 8.8276, losses_bboxes: 0.4747, loss: 9.3022 2022-11-02 23:39:40,291 - mmdet - INFO - Epoch [8][6600/7390] lr: 1.000e-02, eta: 4:22:17, time: 0.528, data_time: 0.008, memory: 43488, loss_cls: 8.8321, losses_bboxes: 0.4747, loss: 9.3068 2022-11-02 23:40:06,737 - mmdet - INFO - Epoch [8][6650/7390] lr: 1.000e-02, eta: 4:21:51, time: 0.529, data_time: 0.009, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4755, loss: 9.3074 2022-11-02 23:40:32,956 - mmdet - INFO - Epoch [8][6700/7390] lr: 1.000e-02, eta: 4:21:26, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8316, losses_bboxes: 0.4741, loss: 9.3056 2022-11-02 23:40:58,575 - mmdet - INFO - Epoch [8][6750/7390] lr: 1.000e-02, eta: 4:21:00, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8296, losses_bboxes: 0.4750, loss: 9.3046 2022-11-02 23:41:24,285 - mmdet - INFO - Epoch [8][6800/7390] lr: 1.000e-02, eta: 4:20:33, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8259, losses_bboxes: 0.4728, loss: 9.2987 2022-11-02 23:41:50,114 - mmdet - INFO - Epoch [8][6850/7390] lr: 1.000e-02, eta: 4:20:08, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8301, losses_bboxes: 0.4721, loss: 9.3023 2022-11-02 23:42:16,232 - mmdet - INFO - Epoch [8][6900/7390] lr: 1.000e-02, eta: 4:19:42, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4743, loss: 9.3088 2022-11-02 23:42:42,159 - mmdet - INFO - Epoch [8][6950/7390] lr: 1.000e-02, eta: 4:19:16, time: 0.519, data_time: 0.010, memory: 43488, loss_cls: 8.8302, losses_bboxes: 0.4743, loss: 9.3046 2022-11-02 23:43:08,185 - mmdet - INFO - Epoch [8][7000/7390] lr: 1.000e-02, eta: 4:18:50, time: 0.520, data_time: 0.010, memory: 43488, loss_cls: 8.8303, losses_bboxes: 0.4724, loss: 9.3028 2022-11-02 23:43:34,278 - mmdet - INFO - Epoch [8][7050/7390] lr: 1.000e-02, eta: 4:18:24, time: 0.524, data_time: 0.010, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4743, loss: 9.3063 2022-11-02 23:44:04,806 - mmdet - INFO - Epoch [8][7100/7390] lr: 1.000e-02, eta: 4:18:00, time: 0.610, data_time: 0.008, memory: 43488, loss_cls: 8.8314, losses_bboxes: 0.4743, loss: 9.3057 2022-11-02 23:44:33,417 - mmdet - INFO - Epoch [8][7150/7390] lr: 1.000e-02, eta: 4:17:36, time: 0.571, data_time: 0.008, memory: 43488, loss_cls: 8.8293, losses_bboxes: 0.4737, loss: 9.3030 2022-11-02 23:44:59,273 - mmdet - INFO - Epoch [8][7200/7390] lr: 1.000e-02, eta: 4:17:10, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8295, losses_bboxes: 0.4746, loss: 9.3041 2022-11-02 23:45:25,054 - mmdet - INFO - Epoch [8][7250/7390] lr: 1.000e-02, eta: 4:16:44, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8302, losses_bboxes: 0.4727, loss: 9.3029 2022-11-02 23:45:51,423 - mmdet - INFO - Epoch [8][7300/7390] lr: 1.000e-02, eta: 4:16:18, time: 0.528, data_time: 0.010, memory: 43488, loss_cls: 8.8311, losses_bboxes: 0.4742, loss: 9.3053 2022-11-02 23:46:17,431 - mmdet - INFO - Epoch [8][7350/7390] lr: 1.000e-02, eta: 4:15:52, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4734, loss: 9.3064 2022-11-02 23:46:38,360 - mmdet - INFO - Saving checkpoint at 8 epochs 2022-11-02 23:47:11,092 - mmdet - INFO - Epoch [9][50/7390] lr: 1.000e-03, eta: 4:14:58, time: 0.634, data_time: 0.114, memory: 43488, loss_cls: 8.8315, losses_bboxes: 0.4735, loss: 9.3050 2022-11-02 23:47:36,875 - mmdet - INFO - Epoch [9][100/7390] lr: 1.000e-03, eta: 4:14:32, time: 0.516, data_time: 0.007, memory: 43488, loss_cls: 8.8306, losses_bboxes: 0.4717, loss: 9.3023 2022-11-02 23:48:02,719 - mmdet - INFO - Epoch [9][150/7390] lr: 1.000e-03, eta: 4:14:06, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8310, losses_bboxes: 0.4740, loss: 9.3050 2022-11-02 23:48:28,182 - mmdet - INFO - Epoch [9][200/7390] lr: 1.000e-03, eta: 4:13:40, time: 0.510, data_time: 0.008, memory: 43488, loss_cls: 8.8305, losses_bboxes: 0.4740, loss: 9.3046 2022-11-02 23:48:54,068 - mmdet - INFO - Epoch [9][250/7390] lr: 1.000e-03, eta: 4:13:14, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8307, losses_bboxes: 0.4737, loss: 9.3044 2022-11-02 23:49:20,149 - mmdet - INFO - Epoch [9][300/7390] lr: 1.000e-03, eta: 4:12:48, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8316, losses_bboxes: 0.4742, loss: 9.3058 2022-11-02 23:49:46,090 - mmdet - INFO - Epoch [9][350/7390] lr: 1.000e-03, eta: 4:12:22, time: 0.519, data_time: 0.010, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4727, loss: 9.3060 2022-11-02 23:50:12,460 - mmdet - INFO - Epoch [9][400/7390] lr: 1.000e-03, eta: 4:11:57, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4726, loss: 9.3049 2022-11-02 23:50:38,512 - mmdet - INFO - Epoch [9][450/7390] lr: 1.000e-03, eta: 4:11:31, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8307, losses_bboxes: 0.4737, loss: 9.3044 2022-11-02 23:51:03,684 - mmdet - INFO - Epoch [9][500/7390] lr: 1.000e-03, eta: 4:11:04, time: 0.503, data_time: 0.008, memory: 43488, loss_cls: 8.8305, losses_bboxes: 0.4737, loss: 9.3042 2022-11-02 23:51:29,262 - mmdet - INFO - Epoch [9][550/7390] lr: 1.000e-03, eta: 4:10:38, time: 0.512, data_time: 0.009, memory: 43488, loss_cls: 8.8329, losses_bboxes: 0.4727, loss: 9.3055 2022-11-02 23:51:55,454 - mmdet - INFO - Epoch [9][600/7390] lr: 1.000e-03, eta: 4:10:13, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8285, losses_bboxes: 0.4730, loss: 9.3015 2022-11-02 23:52:21,251 - mmdet - INFO - Epoch [9][650/7390] lr: 1.000e-03, eta: 4:09:47, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8318, losses_bboxes: 0.4753, loss: 9.3071 2022-11-02 23:52:47,159 - mmdet - INFO - Epoch [9][700/7390] lr: 1.000e-03, eta: 4:09:21, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8309, losses_bboxes: 0.4740, loss: 9.3049 2022-11-02 23:53:13,241 - mmdet - INFO - Epoch [9][750/7390] lr: 1.000e-03, eta: 4:08:55, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4753, loss: 9.3093 2022-11-02 23:53:39,136 - mmdet - INFO - Epoch [9][800/7390] lr: 1.000e-03, eta: 4:08:29, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4718, loss: 9.3040 2022-11-02 23:54:04,925 - mmdet - INFO - Epoch [9][850/7390] lr: 1.000e-03, eta: 4:08:03, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4733, loss: 9.3053 2022-11-02 23:54:30,883 - mmdet - INFO - Epoch [9][900/7390] lr: 1.000e-03, eta: 4:07:37, time: 0.521, data_time: 0.010, memory: 43488, loss_cls: 8.8316, losses_bboxes: 0.4729, loss: 9.3045 2022-11-02 23:54:57,129 - mmdet - INFO - Epoch [9][950/7390] lr: 1.000e-03, eta: 4:07:11, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8294, losses_bboxes: 0.4733, loss: 9.3027 2022-11-02 23:55:23,452 - mmdet - INFO - Epoch [9][1000/7390] lr: 1.000e-03, eta: 4:06:46, time: 0.528, data_time: 0.009, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4733, loss: 9.3060 2022-11-02 23:55:49,507 - mmdet - INFO - Epoch [9][1050/7390] lr: 1.000e-03, eta: 4:06:20, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4723, loss: 9.3073 2022-11-02 23:56:15,381 - mmdet - INFO - Epoch [9][1100/7390] lr: 1.000e-03, eta: 4:05:54, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8288, losses_bboxes: 0.4725, loss: 9.3013 2022-11-02 23:56:41,374 - mmdet - INFO - Epoch [9][1150/7390] lr: 1.000e-03, eta: 4:05:28, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8317, losses_bboxes: 0.4744, loss: 9.3061 2022-11-02 23:57:07,107 - mmdet - INFO - Epoch [9][1200/7390] lr: 1.000e-03, eta: 4:05:02, time: 0.514, data_time: 0.009, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4748, loss: 9.3094 2022-11-02 23:57:33,063 - mmdet - INFO - Epoch [9][1250/7390] lr: 1.000e-03, eta: 4:04:36, time: 0.520, data_time: 0.010, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4730, loss: 9.3076 2022-11-02 23:57:58,945 - mmdet - INFO - Epoch [9][1300/7390] lr: 1.000e-03, eta: 4:04:10, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8309, losses_bboxes: 0.4730, loss: 9.3039 2022-11-02 23:58:24,690 - mmdet - INFO - Epoch [9][1350/7390] lr: 1.000e-03, eta: 4:03:44, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8308, losses_bboxes: 0.4725, loss: 9.3033 2022-11-02 23:58:50,965 - mmdet - INFO - Epoch [9][1400/7390] lr: 1.000e-03, eta: 4:03:18, time: 0.525, data_time: 0.008, memory: 43488, loss_cls: 8.8323, losses_bboxes: 0.4729, loss: 9.3052 2022-11-02 23:59:17,207 - mmdet - INFO - Epoch [9][1450/7390] lr: 1.000e-03, eta: 4:02:52, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4738, loss: 9.3078 2022-11-02 23:59:43,807 - mmdet - INFO - Epoch [9][1500/7390] lr: 1.000e-03, eta: 4:02:27, time: 0.531, data_time: 0.008, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4733, loss: 9.3075 2022-11-03 00:00:09,515 - mmdet - INFO - Epoch [9][1550/7390] lr: 1.000e-03, eta: 4:02:01, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4722, loss: 9.3059 2022-11-03 00:00:35,676 - mmdet - INFO - Epoch [9][1600/7390] lr: 1.000e-03, eta: 4:01:35, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4741, loss: 9.3092 2022-11-03 00:01:01,087 - mmdet - INFO - Epoch [9][1650/7390] lr: 1.000e-03, eta: 4:01:09, time: 0.508, data_time: 0.008, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4740, loss: 9.3085 2022-11-03 00:01:27,191 - mmdet - INFO - Epoch [9][1700/7390] lr: 1.000e-03, eta: 4:00:43, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8335, losses_bboxes: 0.4755, loss: 9.3090 2022-11-03 00:01:53,067 - mmdet - INFO - Epoch [9][1750/7390] lr: 1.000e-03, eta: 4:00:17, time: 0.518, data_time: 0.010, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4713, loss: 9.3052 2022-11-03 00:02:19,134 - mmdet - INFO - Epoch [9][1800/7390] lr: 1.000e-03, eta: 3:59:51, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8317, losses_bboxes: 0.4727, loss: 9.3044 2022-11-03 00:02:44,993 - mmdet - INFO - Epoch [9][1850/7390] lr: 1.000e-03, eta: 3:59:25, time: 0.518, data_time: 0.010, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4732, loss: 9.3073 2022-11-03 00:03:11,011 - mmdet - INFO - Epoch [9][1900/7390] lr: 1.000e-03, eta: 3:58:59, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4731, loss: 9.3088 2022-11-03 00:03:36,961 - mmdet - INFO - Epoch [9][1950/7390] lr: 1.000e-03, eta: 3:58:33, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4719, loss: 9.3049 2022-11-03 00:04:03,269 - mmdet - INFO - Epoch [9][2000/7390] lr: 1.000e-03, eta: 3:58:08, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8305, losses_bboxes: 0.4730, loss: 9.3035 2022-11-03 00:04:28,819 - mmdet - INFO - Epoch [9][2050/7390] lr: 1.000e-03, eta: 3:57:42, time: 0.511, data_time: 0.008, memory: 43488, loss_cls: 8.8300, losses_bboxes: 0.4723, loss: 9.3022 2022-11-03 00:04:54,838 - mmdet - INFO - Epoch [9][2100/7390] lr: 1.000e-03, eta: 3:57:16, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8298, losses_bboxes: 0.4736, loss: 9.3033 2022-11-03 00:05:21,022 - mmdet - INFO - Epoch [9][2150/7390] lr: 1.000e-03, eta: 3:56:50, time: 0.525, data_time: 0.010, memory: 43488, loss_cls: 8.8313, losses_bboxes: 0.4725, loss: 9.3038 2022-11-03 00:05:47,293 - mmdet - INFO - Epoch [9][2200/7390] lr: 1.000e-03, eta: 3:56:24, time: 0.525, data_time: 0.008, memory: 43488, loss_cls: 8.8306, losses_bboxes: 0.4738, loss: 9.3044 2022-11-03 00:06:13,536 - mmdet - INFO - Epoch [9][2250/7390] lr: 1.000e-03, eta: 3:55:58, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4730, loss: 9.3089 2022-11-03 00:06:39,812 - mmdet - INFO - Epoch [9][2300/7390] lr: 1.000e-03, eta: 3:55:33, time: 0.525, data_time: 0.007, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4726, loss: 9.3073 2022-11-03 00:07:05,724 - mmdet - INFO - Epoch [9][2350/7390] lr: 1.000e-03, eta: 3:55:07, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8352, losses_bboxes: 0.4722, loss: 9.3073 2022-11-03 00:07:32,106 - mmdet - INFO - Epoch [9][2400/7390] lr: 1.000e-03, eta: 3:54:41, time: 0.529, data_time: 0.009, memory: 43488, loss_cls: 8.8361, losses_bboxes: 0.4736, loss: 9.3098 2022-11-03 00:07:58,116 - mmdet - INFO - Epoch [9][2450/7390] lr: 1.000e-03, eta: 3:54:15, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4745, loss: 9.3080 2022-11-03 00:08:23,419 - mmdet - INFO - Epoch [9][2500/7390] lr: 1.000e-03, eta: 3:53:49, time: 0.506, data_time: 0.008, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4733, loss: 9.3074 2022-11-03 00:08:49,118 - mmdet - INFO - Epoch [9][2550/7390] lr: 1.000e-03, eta: 3:53:23, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4738, loss: 9.3067 2022-11-03 00:09:14,779 - mmdet - INFO - Epoch [9][2600/7390] lr: 1.000e-03, eta: 3:52:57, time: 0.513, data_time: 0.008, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4711, loss: 9.3044 2022-11-03 00:09:41,451 - mmdet - INFO - Epoch [9][2650/7390] lr: 1.000e-03, eta: 3:52:31, time: 0.532, data_time: 0.008, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4740, loss: 9.3081 2022-11-03 00:10:07,572 - mmdet - INFO - Epoch [9][2700/7390] lr: 1.000e-03, eta: 3:52:05, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4716, loss: 9.3072 2022-11-03 00:10:33,383 - mmdet - INFO - Epoch [9][2750/7390] lr: 1.000e-03, eta: 3:51:39, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8329, losses_bboxes: 0.4712, loss: 9.3041 2022-11-03 00:10:59,502 - mmdet - INFO - Epoch [9][2800/7390] lr: 1.000e-03, eta: 3:51:14, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4745, loss: 9.3089 2022-11-03 00:11:25,665 - mmdet - INFO - Epoch [9][2850/7390] lr: 1.000e-03, eta: 3:50:48, time: 0.524, data_time: 0.010, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4724, loss: 9.3076 2022-11-03 00:11:51,823 - mmdet - INFO - Epoch [9][2900/7390] lr: 1.000e-03, eta: 3:50:22, time: 0.525, data_time: 0.010, memory: 43488, loss_cls: 8.8312, losses_bboxes: 0.4721, loss: 9.3034 2022-11-03 00:12:18,209 - mmdet - INFO - Epoch [9][2950/7390] lr: 1.000e-03, eta: 3:49:56, time: 0.527, data_time: 0.008, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4721, loss: 9.3052 2022-11-03 00:12:44,316 - mmdet - INFO - Epoch [9][3000/7390] lr: 1.000e-03, eta: 3:49:30, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4731, loss: 9.3078 2022-11-03 00:13:09,887 - mmdet - INFO - Epoch [9][3050/7390] lr: 1.000e-03, eta: 3:49:04, time: 0.513, data_time: 0.009, memory: 43488, loss_cls: 8.8352, losses_bboxes: 0.4729, loss: 9.3082 2022-11-03 00:13:35,860 - mmdet - INFO - Epoch [9][3100/7390] lr: 1.000e-03, eta: 3:48:38, time: 0.518, data_time: 0.007, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4726, loss: 9.3052 2022-11-03 00:14:02,127 - mmdet - INFO - Epoch [9][3150/7390] lr: 1.000e-03, eta: 3:48:13, time: 0.526, data_time: 0.009, memory: 43488, loss_cls: 8.8376, losses_bboxes: 0.4727, loss: 9.3104 2022-11-03 00:14:28,458 - mmdet - INFO - Epoch [9][3200/7390] lr: 1.000e-03, eta: 3:47:47, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4733, loss: 9.3080 2022-11-03 00:14:54,411 - mmdet - INFO - Epoch [9][3250/7390] lr: 1.000e-03, eta: 3:47:21, time: 0.521, data_time: 0.010, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4731, loss: 9.3090 2022-11-03 00:15:20,287 - mmdet - INFO - Epoch [9][3300/7390] lr: 1.000e-03, eta: 3:46:55, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8368, losses_bboxes: 0.4733, loss: 9.3101 2022-11-03 00:15:46,473 - mmdet - INFO - Epoch [9][3350/7390] lr: 1.000e-03, eta: 3:46:29, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4737, loss: 9.3084 2022-11-03 00:16:12,337 - mmdet - INFO - Epoch [9][3400/7390] lr: 1.000e-03, eta: 3:46:03, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8295, losses_bboxes: 0.4725, loss: 9.3020 2022-11-03 00:16:38,608 - mmdet - INFO - Epoch [9][3450/7390] lr: 1.000e-03, eta: 3:45:38, time: 0.527, data_time: 0.010, memory: 43488, loss_cls: 8.8311, losses_bboxes: 0.4729, loss: 9.3040 2022-11-03 00:17:04,457 - mmdet - INFO - Epoch [9][3500/7390] lr: 1.000e-03, eta: 3:45:12, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8309, losses_bboxes: 0.4723, loss: 9.3033 2022-11-03 00:17:30,211 - mmdet - INFO - Epoch [9][3550/7390] lr: 1.000e-03, eta: 3:44:45, time: 0.513, data_time: 0.009, memory: 43488, loss_cls: 8.8372, losses_bboxes: 0.4728, loss: 9.3100 2022-11-03 00:17:56,117 - mmdet - INFO - Epoch [9][3600/7390] lr: 1.000e-03, eta: 3:44:20, time: 0.520, data_time: 0.010, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4698, loss: 9.3044 2022-11-03 00:18:22,278 - mmdet - INFO - Epoch [9][3650/7390] lr: 1.000e-03, eta: 3:43:54, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4726, loss: 9.3050 2022-11-03 00:18:48,178 - mmdet - INFO - Epoch [9][3700/7390] lr: 1.000e-03, eta: 3:43:28, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8360, losses_bboxes: 0.4724, loss: 9.3084 2022-11-03 00:19:14,012 - mmdet - INFO - Epoch [9][3750/7390] lr: 1.000e-03, eta: 3:43:02, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8355, losses_bboxes: 0.4726, loss: 9.3081 2022-11-03 00:19:40,430 - mmdet - INFO - Epoch [9][3800/7390] lr: 1.000e-03, eta: 3:42:36, time: 0.528, data_time: 0.007, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4738, loss: 9.3078 2022-11-03 00:20:06,144 - mmdet - INFO - Epoch [9][3850/7390] lr: 1.000e-03, eta: 3:42:10, time: 0.513, data_time: 0.007, memory: 43488, loss_cls: 8.8279, losses_bboxes: 0.4742, loss: 9.3021 2022-11-03 00:20:32,484 - mmdet - INFO - Epoch [9][3900/7390] lr: 1.000e-03, eta: 3:41:44, time: 0.527, data_time: 0.008, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4737, loss: 9.3067 2022-11-03 00:20:58,364 - mmdet - INFO - Epoch [9][3950/7390] lr: 1.000e-03, eta: 3:41:18, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4735, loss: 9.3056 2022-11-03 00:21:24,030 - mmdet - INFO - Epoch [9][4000/7390] lr: 1.000e-03, eta: 3:40:52, time: 0.512, data_time: 0.007, memory: 43488, loss_cls: 8.8311, losses_bboxes: 0.4731, loss: 9.3043 2022-11-03 00:21:50,497 - mmdet - INFO - Epoch [9][4050/7390] lr: 1.000e-03, eta: 3:40:27, time: 0.530, data_time: 0.009, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4724, loss: 9.3071 2022-11-03 00:22:16,329 - mmdet - INFO - Epoch [9][4100/7390] lr: 1.000e-03, eta: 3:40:01, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8311, losses_bboxes: 0.4737, loss: 9.3048 2022-11-03 00:22:42,239 - mmdet - INFO - Epoch [9][4150/7390] lr: 1.000e-03, eta: 3:39:35, time: 0.520, data_time: 0.010, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4734, loss: 9.3093 2022-11-03 00:23:08,602 - mmdet - INFO - Epoch [9][4200/7390] lr: 1.000e-03, eta: 3:39:09, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4727, loss: 9.3065 2022-11-03 00:23:34,949 - mmdet - INFO - Epoch [9][4250/7390] lr: 1.000e-03, eta: 3:38:43, time: 0.528, data_time: 0.009, memory: 43488, loss_cls: 8.8358, losses_bboxes: 0.4736, loss: 9.3094 2022-11-03 00:24:00,916 - mmdet - INFO - Epoch [9][4300/7390] lr: 1.000e-03, eta: 3:38:17, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8352, losses_bboxes: 0.4730, loss: 9.3082 2022-11-03 00:24:26,470 - mmdet - INFO - Epoch [9][4350/7390] lr: 1.000e-03, eta: 3:37:51, time: 0.513, data_time: 0.010, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4726, loss: 9.3069 2022-11-03 00:24:52,812 - mmdet - INFO - Epoch [9][4400/7390] lr: 1.000e-03, eta: 3:37:26, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4726, loss: 9.3079 2022-11-03 00:25:18,664 - mmdet - INFO - Epoch [9][4450/7390] lr: 1.000e-03, eta: 3:37:00, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4705, loss: 9.3047 2022-11-03 00:25:44,618 - mmdet - INFO - Epoch [9][4500/7390] lr: 1.000e-03, eta: 3:36:34, time: 0.520, data_time: 0.010, memory: 43488, loss_cls: 8.8362, losses_bboxes: 0.4733, loss: 9.3095 2022-11-03 00:26:10,596 - mmdet - INFO - Epoch [9][4550/7390] lr: 1.000e-03, eta: 3:36:08, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4721, loss: 9.3039 2022-11-03 00:26:36,744 - mmdet - INFO - Epoch [9][4600/7390] lr: 1.000e-03, eta: 3:35:42, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4721, loss: 9.3054 2022-11-03 00:27:02,515 - mmdet - INFO - Epoch [9][4650/7390] lr: 1.000e-03, eta: 3:35:16, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4714, loss: 9.3064 2022-11-03 00:27:28,710 - mmdet - INFO - Epoch [9][4700/7390] lr: 1.000e-03, eta: 3:34:50, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4728, loss: 9.3074 2022-11-03 00:27:55,089 - mmdet - INFO - Epoch [9][4750/7390] lr: 1.000e-03, eta: 3:34:24, time: 0.528, data_time: 0.008, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4731, loss: 9.3050 2022-11-03 00:28:21,263 - mmdet - INFO - Epoch [9][4800/7390] lr: 1.000e-03, eta: 3:33:59, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8369, losses_bboxes: 0.4726, loss: 9.3094 2022-11-03 00:28:47,271 - mmdet - INFO - Epoch [9][4850/7390] lr: 1.000e-03, eta: 3:33:33, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4726, loss: 9.3083 2022-11-03 00:29:13,010 - mmdet - INFO - Epoch [9][4900/7390] lr: 1.000e-03, eta: 3:33:07, time: 0.514, data_time: 0.010, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4718, loss: 9.3040 2022-11-03 00:29:39,495 - mmdet - INFO - Epoch [9][4950/7390] lr: 1.000e-03, eta: 3:32:41, time: 0.531, data_time: 0.010, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4725, loss: 9.3076 2022-11-03 00:30:05,553 - mmdet - INFO - Epoch [9][5000/7390] lr: 1.000e-03, eta: 3:32:15, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4722, loss: 9.3079 2022-11-03 00:30:31,394 - mmdet - INFO - Epoch [9][5050/7390] lr: 1.000e-03, eta: 3:31:49, time: 0.516, data_time: 0.007, memory: 43488, loss_cls: 8.8358, losses_bboxes: 0.4726, loss: 9.3085 2022-11-03 00:30:57,032 - mmdet - INFO - Epoch [9][5100/7390] lr: 1.000e-03, eta: 3:31:23, time: 0.510, data_time: 0.008, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4716, loss: 9.3065 2022-11-03 00:31:23,043 - mmdet - INFO - Epoch [9][5150/7390] lr: 1.000e-03, eta: 3:30:57, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8363, losses_bboxes: 0.4742, loss: 9.3105 2022-11-03 00:31:49,436 - mmdet - INFO - Epoch [9][5200/7390] lr: 1.000e-03, eta: 3:30:31, time: 0.526, data_time: 0.009, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4728, loss: 9.3071 2022-11-03 00:32:14,888 - mmdet - INFO - Epoch [9][5250/7390] lr: 1.000e-03, eta: 3:30:05, time: 0.512, data_time: 0.010, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4739, loss: 9.3067 2022-11-03 00:32:41,263 - mmdet - INFO - Epoch [9][5300/7390] lr: 1.000e-03, eta: 3:29:40, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4713, loss: 9.3043 2022-11-03 00:33:07,165 - mmdet - INFO - Epoch [9][5350/7390] lr: 1.000e-03, eta: 3:29:14, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8373, losses_bboxes: 0.4729, loss: 9.3102 2022-11-03 00:33:33,172 - mmdet - INFO - Epoch [9][5400/7390] lr: 1.000e-03, eta: 3:28:48, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8350, losses_bboxes: 0.4713, loss: 9.3063 2022-11-03 00:33:59,521 - mmdet - INFO - Epoch [9][5450/7390] lr: 1.000e-03, eta: 3:28:22, time: 0.527, data_time: 0.008, memory: 43488, loss_cls: 8.8335, losses_bboxes: 0.4718, loss: 9.3053 2022-11-03 00:34:25,475 - mmdet - INFO - Epoch [9][5500/7390] lr: 1.000e-03, eta: 3:27:56, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4726, loss: 9.3060 2022-11-03 00:34:51,559 - mmdet - INFO - Epoch [9][5550/7390] lr: 1.000e-03, eta: 3:27:30, time: 0.524, data_time: 0.010, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4724, loss: 9.3043 2022-11-03 00:35:17,725 - mmdet - INFO - Epoch [9][5600/7390] lr: 1.000e-03, eta: 3:27:04, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8380, losses_bboxes: 0.4720, loss: 9.3099 2022-11-03 00:35:43,569 - mmdet - INFO - Epoch [9][5650/7390] lr: 1.000e-03, eta: 3:26:38, time: 0.517, data_time: 0.010, memory: 43488, loss_cls: 8.8364, losses_bboxes: 0.4714, loss: 9.3078 2022-11-03 00:36:10,007 - mmdet - INFO - Epoch [9][5700/7390] lr: 1.000e-03, eta: 3:26:13, time: 0.531, data_time: 0.010, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4730, loss: 9.3078 2022-11-03 00:36:36,173 - mmdet - INFO - Epoch [9][5750/7390] lr: 1.000e-03, eta: 3:25:47, time: 0.521, data_time: 0.007, memory: 43488, loss_cls: 8.8321, losses_bboxes: 0.4742, loss: 9.3062 2022-11-03 00:37:02,437 - mmdet - INFO - Epoch [9][5800/7390] lr: 1.000e-03, eta: 3:25:21, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8335, losses_bboxes: 0.4718, loss: 9.3053 2022-11-03 00:37:28,649 - mmdet - INFO - Epoch [9][5850/7390] lr: 1.000e-03, eta: 3:24:55, time: 0.525, data_time: 0.010, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4728, loss: 9.3065 2022-11-03 00:37:54,617 - mmdet - INFO - Epoch [9][5900/7390] lr: 1.000e-03, eta: 3:24:29, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4718, loss: 9.3058 2022-11-03 00:38:20,337 - mmdet - INFO - Epoch [9][5950/7390] lr: 1.000e-03, eta: 3:24:03, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4735, loss: 9.3082 2022-11-03 00:38:46,464 - mmdet - INFO - Epoch [9][6000/7390] lr: 1.000e-03, eta: 3:23:37, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4738, loss: 9.3060 2022-11-03 00:39:12,567 - mmdet - INFO - Epoch [9][6050/7390] lr: 1.000e-03, eta: 3:23:11, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4729, loss: 9.3077 2022-11-03 00:39:38,433 - mmdet - INFO - Epoch [9][6100/7390] lr: 1.000e-03, eta: 3:22:46, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4737, loss: 9.3056 2022-11-03 00:40:04,639 - mmdet - INFO - Epoch [9][6150/7390] lr: 1.000e-03, eta: 3:22:20, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4732, loss: 9.3080 2022-11-03 00:40:30,561 - mmdet - INFO - Epoch [9][6200/7390] lr: 1.000e-03, eta: 3:21:54, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4738, loss: 9.3091 2022-11-03 00:40:56,450 - mmdet - INFO - Epoch [9][6250/7390] lr: 1.000e-03, eta: 3:21:28, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4704, loss: 9.3053 2022-11-03 00:41:21,869 - mmdet - INFO - Epoch [9][6300/7390] lr: 1.000e-03, eta: 3:21:02, time: 0.509, data_time: 0.009, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4735, loss: 9.3057 2022-11-03 00:41:47,937 - mmdet - INFO - Epoch [9][6350/7390] lr: 1.000e-03, eta: 3:20:36, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4748, loss: 9.3085 2022-11-03 00:42:13,683 - mmdet - INFO - Epoch [9][6400/7390] lr: 1.000e-03, eta: 3:20:10, time: 0.513, data_time: 0.007, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4726, loss: 9.3079 2022-11-03 00:42:39,383 - mmdet - INFO - Epoch [9][6450/7390] lr: 1.000e-03, eta: 3:19:44, time: 0.513, data_time: 0.010, memory: 43488, loss_cls: 8.8360, losses_bboxes: 0.4752, loss: 9.3112 2022-11-03 00:43:05,437 - mmdet - INFO - Epoch [9][6500/7390] lr: 1.000e-03, eta: 3:19:18, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4739, loss: 9.3083 2022-11-03 00:43:31,490 - mmdet - INFO - Epoch [9][6550/7390] lr: 1.000e-03, eta: 3:18:52, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8318, losses_bboxes: 0.4724, loss: 9.3043 2022-11-03 00:43:57,558 - mmdet - INFO - Epoch [9][6600/7390] lr: 1.000e-03, eta: 3:18:26, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8368, losses_bboxes: 0.4723, loss: 9.3090 2022-11-03 00:44:23,406 - mmdet - INFO - Epoch [9][6650/7390] lr: 1.000e-03, eta: 3:18:00, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8396, losses_bboxes: 0.4729, loss: 9.3125 2022-11-03 00:44:49,672 - mmdet - INFO - Epoch [9][6700/7390] lr: 1.000e-03, eta: 3:17:34, time: 0.526, data_time: 0.010, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4715, loss: 9.3034 2022-11-03 00:45:16,225 - mmdet - INFO - Epoch [9][6750/7390] lr: 1.000e-03, eta: 3:17:09, time: 0.532, data_time: 0.009, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4738, loss: 9.3063 2022-11-03 00:45:41,795 - mmdet - INFO - Epoch [9][6800/7390] lr: 1.000e-03, eta: 3:16:43, time: 0.511, data_time: 0.008, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4713, loss: 9.3044 2022-11-03 00:46:07,992 - mmdet - INFO - Epoch [9][6850/7390] lr: 1.000e-03, eta: 3:16:17, time: 0.524, data_time: 0.009, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4724, loss: 9.3054 2022-11-03 00:46:33,810 - mmdet - INFO - Epoch [9][6900/7390] lr: 1.000e-03, eta: 3:15:51, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8358, losses_bboxes: 0.4719, loss: 9.3077 2022-11-03 00:46:59,361 - mmdet - INFO - Epoch [9][6950/7390] lr: 1.000e-03, eta: 3:15:25, time: 0.511, data_time: 0.009, memory: 43488, loss_cls: 8.8362, losses_bboxes: 0.4743, loss: 9.3105 2022-11-03 00:47:25,749 - mmdet - INFO - Epoch [9][7000/7390] lr: 1.000e-03, eta: 3:14:59, time: 0.529, data_time: 0.009, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4719, loss: 9.3076 2022-11-03 00:47:51,344 - mmdet - INFO - Epoch [9][7050/7390] lr: 1.000e-03, eta: 3:14:33, time: 0.508, data_time: 0.008, memory: 43488, loss_cls: 8.8329, losses_bboxes: 0.4735, loss: 9.3064 2022-11-03 00:48:16,953 - mmdet - INFO - Epoch [9][7100/7390] lr: 1.000e-03, eta: 3:14:07, time: 0.515, data_time: 0.011, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4740, loss: 9.3061 2022-11-03 00:48:42,929 - mmdet - INFO - Epoch [9][7150/7390] lr: 1.000e-03, eta: 3:13:41, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8376, losses_bboxes: 0.4713, loss: 9.3089 2022-11-03 00:49:08,675 - mmdet - INFO - Epoch [9][7200/7390] lr: 1.000e-03, eta: 3:13:15, time: 0.516, data_time: 0.010, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4724, loss: 9.3044 2022-11-03 00:49:34,662 - mmdet - INFO - Epoch [9][7250/7390] lr: 1.000e-03, eta: 3:12:49, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4726, loss: 9.3078 2022-11-03 00:50:00,117 - mmdet - INFO - Epoch [9][7300/7390] lr: 1.000e-03, eta: 3:12:23, time: 0.509, data_time: 0.007, memory: 43488, loss_cls: 8.8354, losses_bboxes: 0.4728, loss: 9.3082 2022-11-03 00:50:25,855 - mmdet - INFO - Epoch [9][7350/7390] lr: 1.000e-03, eta: 3:11:57, time: 0.513, data_time: 0.007, memory: 43488, loss_cls: 8.8380, losses_bboxes: 0.4722, loss: 9.3102 2022-11-03 00:50:46,474 - mmdet - INFO - Saving checkpoint at 9 epochs 2022-11-03 00:51:16,872 - mmdet - INFO - Epoch [10][50/7390] lr: 1.000e-03, eta: 3:11:05, time: 0.588, data_time: 0.067, memory: 43488, loss_cls: 8.8358, losses_bboxes: 0.4693, loss: 9.3051 2022-11-03 00:51:42,656 - mmdet - INFO - Epoch [10][100/7390] lr: 1.000e-03, eta: 3:10:39, time: 0.514, data_time: 0.007, memory: 43488, loss_cls: 8.8311, losses_bboxes: 0.4718, loss: 9.3029 2022-11-03 00:52:08,718 - mmdet - INFO - Epoch [10][150/7390] lr: 1.000e-03, eta: 3:10:13, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8360, losses_bboxes: 0.4743, loss: 9.3102 2022-11-03 00:52:34,794 - mmdet - INFO - Epoch [10][200/7390] lr: 1.000e-03, eta: 3:09:47, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4751, loss: 9.3099 2022-11-03 00:53:01,073 - mmdet - INFO - Epoch [10][250/7390] lr: 1.000e-03, eta: 3:09:21, time: 0.523, data_time: 0.007, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4738, loss: 9.3064 2022-11-03 00:53:27,317 - mmdet - INFO - Epoch [10][300/7390] lr: 1.000e-03, eta: 3:08:55, time: 0.526, data_time: 0.010, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4733, loss: 9.3080 2022-11-03 00:53:53,469 - mmdet - INFO - Epoch [10][350/7390] lr: 1.000e-03, eta: 3:08:29, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4721, loss: 9.3072 2022-11-03 00:54:19,557 - mmdet - INFO - Epoch [10][400/7390] lr: 1.000e-03, eta: 3:08:04, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8358, losses_bboxes: 0.4719, loss: 9.3076 2022-11-03 00:54:45,604 - mmdet - INFO - Epoch [10][450/7390] lr: 1.000e-03, eta: 3:07:38, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4708, loss: 9.3041 2022-11-03 00:55:11,178 - mmdet - INFO - Epoch [10][500/7390] lr: 1.000e-03, eta: 3:07:12, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4738, loss: 9.3068 2022-11-03 00:55:37,361 - mmdet - INFO - Epoch [10][550/7390] lr: 1.000e-03, eta: 3:06:46, time: 0.523, data_time: 0.007, memory: 43488, loss_cls: 8.8374, losses_bboxes: 0.4722, loss: 9.3097 2022-11-03 00:56:02,983 - mmdet - INFO - Epoch [10][600/7390] lr: 1.000e-03, eta: 3:06:20, time: 0.513, data_time: 0.008, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4726, loss: 9.3068 2022-11-03 00:56:28,804 - mmdet - INFO - Epoch [10][650/7390] lr: 1.000e-03, eta: 3:05:54, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4729, loss: 9.3078 2022-11-03 00:56:54,871 - mmdet - INFO - Epoch [10][700/7390] lr: 1.000e-03, eta: 3:05:28, time: 0.524, data_time: 0.010, memory: 43488, loss_cls: 8.8364, losses_bboxes: 0.4717, loss: 9.3081 2022-11-03 00:57:21,205 - mmdet - INFO - Epoch [10][750/7390] lr: 1.000e-03, eta: 3:05:02, time: 0.527, data_time: 0.008, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4741, loss: 9.3074 2022-11-03 00:57:47,374 - mmdet - INFO - Epoch [10][800/7390] lr: 1.000e-03, eta: 3:04:36, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4728, loss: 9.3062 2022-11-03 00:58:13,111 - mmdet - INFO - Epoch [10][850/7390] lr: 1.000e-03, eta: 3:04:10, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4725, loss: 9.3075 2022-11-03 00:58:39,269 - mmdet - INFO - Epoch [10][900/7390] lr: 1.000e-03, eta: 3:03:45, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4734, loss: 9.3071 2022-11-03 00:59:04,852 - mmdet - INFO - Epoch [10][950/7390] lr: 1.000e-03, eta: 3:03:19, time: 0.511, data_time: 0.007, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4700, loss: 9.3051 2022-11-03 00:59:30,933 - mmdet - INFO - Epoch [10][1000/7390] lr: 1.000e-03, eta: 3:02:53, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4731, loss: 9.3077 2022-11-03 00:59:57,003 - mmdet - INFO - Epoch [10][1050/7390] lr: 1.000e-03, eta: 3:02:27, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4724, loss: 9.3081 2022-11-03 01:00:23,078 - mmdet - INFO - Epoch [10][1100/7390] lr: 1.000e-03, eta: 3:02:01, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4723, loss: 9.3065 2022-11-03 01:00:49,295 - mmdet - INFO - Epoch [10][1150/7390] lr: 1.000e-03, eta: 3:01:35, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4718, loss: 9.3065 2022-11-03 01:01:15,653 - mmdet - INFO - Epoch [10][1200/7390] lr: 1.000e-03, eta: 3:01:09, time: 0.527, data_time: 0.008, memory: 43488, loss_cls: 8.8375, losses_bboxes: 0.4737, loss: 9.3111 2022-11-03 01:01:41,428 - mmdet - INFO - Epoch [10][1250/7390] lr: 1.000e-03, eta: 3:00:43, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4739, loss: 9.3088 2022-11-03 01:02:07,818 - mmdet - INFO - Epoch [10][1300/7390] lr: 1.000e-03, eta: 3:00:18, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4736, loss: 9.3084 2022-11-03 01:02:33,572 - mmdet - INFO - Epoch [10][1350/7390] lr: 1.000e-03, eta: 2:59:52, time: 0.515, data_time: 0.010, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4716, loss: 9.3063 2022-11-03 01:02:59,519 - mmdet - INFO - Epoch [10][1400/7390] lr: 1.000e-03, eta: 2:59:26, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4726, loss: 9.3070 2022-11-03 01:03:25,139 - mmdet - INFO - Epoch [10][1450/7390] lr: 1.000e-03, eta: 2:59:00, time: 0.514, data_time: 0.010, memory: 43488, loss_cls: 8.8360, losses_bboxes: 0.4737, loss: 9.3098 2022-11-03 01:03:50,999 - mmdet - INFO - Epoch [10][1500/7390] lr: 1.000e-03, eta: 2:58:34, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4746, loss: 9.3077 2022-11-03 01:04:17,049 - mmdet - INFO - Epoch [10][1550/7390] lr: 1.000e-03, eta: 2:58:08, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8372, losses_bboxes: 0.4713, loss: 9.3085 2022-11-03 01:04:42,628 - mmdet - INFO - Epoch [10][1600/7390] lr: 1.000e-03, eta: 2:57:42, time: 0.512, data_time: 0.009, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4728, loss: 9.3065 2022-11-03 01:05:08,294 - mmdet - INFO - Epoch [10][1650/7390] lr: 1.000e-03, eta: 2:57:16, time: 0.514, data_time: 0.009, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4736, loss: 9.3062 2022-11-03 01:05:34,058 - mmdet - INFO - Epoch [10][1700/7390] lr: 1.000e-03, eta: 2:56:50, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4702, loss: 9.3022 2022-11-03 01:06:00,167 - mmdet - INFO - Epoch [10][1750/7390] lr: 1.000e-03, eta: 2:56:24, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4731, loss: 9.3071 2022-11-03 01:06:26,143 - mmdet - INFO - Epoch [10][1800/7390] lr: 1.000e-03, eta: 2:55:58, time: 0.519, data_time: 0.007, memory: 43488, loss_cls: 8.8365, losses_bboxes: 0.4737, loss: 9.3102 2022-11-03 01:06:52,352 - mmdet - INFO - Epoch [10][1850/7390] lr: 1.000e-03, eta: 2:55:32, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8382, losses_bboxes: 0.4735, loss: 9.3118 2022-11-03 01:07:18,748 - mmdet - INFO - Epoch [10][1900/7390] lr: 1.000e-03, eta: 2:55:07, time: 0.528, data_time: 0.009, memory: 43488, loss_cls: 8.8313, losses_bboxes: 0.4726, loss: 9.3039 2022-11-03 01:07:44,534 - mmdet - INFO - Epoch [10][1950/7390] lr: 1.000e-03, eta: 2:54:41, time: 0.517, data_time: 0.010, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4735, loss: 9.3076 2022-11-03 01:08:10,262 - mmdet - INFO - Epoch [10][2000/7390] lr: 1.000e-03, eta: 2:54:15, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4712, loss: 9.3040 2022-11-03 01:08:35,927 - mmdet - INFO - Epoch [10][2050/7390] lr: 1.000e-03, eta: 2:53:49, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4724, loss: 9.3046 2022-11-03 01:09:02,169 - mmdet - INFO - Epoch [10][2100/7390] lr: 1.000e-03, eta: 2:53:23, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8354, losses_bboxes: 0.4732, loss: 9.3086 2022-11-03 01:09:28,139 - mmdet - INFO - Epoch [10][2150/7390] lr: 1.000e-03, eta: 2:52:57, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8358, losses_bboxes: 0.4727, loss: 9.3086 2022-11-03 01:09:53,913 - mmdet - INFO - Epoch [10][2200/7390] lr: 1.000e-03, eta: 2:52:31, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8368, losses_bboxes: 0.4727, loss: 9.3096 2022-11-03 01:10:19,983 - mmdet - INFO - Epoch [10][2250/7390] lr: 1.000e-03, eta: 2:52:05, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4726, loss: 9.3046 2022-11-03 01:10:45,921 - mmdet - INFO - Epoch [10][2300/7390] lr: 1.000e-03, eta: 2:51:39, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4727, loss: 9.3057 2022-11-03 01:11:11,741 - mmdet - INFO - Epoch [10][2350/7390] lr: 1.000e-03, eta: 2:51:13, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4723, loss: 9.3043 2022-11-03 01:11:37,269 - mmdet - INFO - Epoch [10][2400/7390] lr: 1.000e-03, eta: 2:50:47, time: 0.509, data_time: 0.009, memory: 43488, loss_cls: 8.8329, losses_bboxes: 0.4717, loss: 9.3046 2022-11-03 01:12:03,257 - mmdet - INFO - Epoch [10][2450/7390] lr: 1.000e-03, eta: 2:50:21, time: 0.522, data_time: 0.011, memory: 43488, loss_cls: 8.8361, losses_bboxes: 0.4725, loss: 9.3086 2022-11-03 01:12:29,670 - mmdet - INFO - Epoch [10][2500/7390] lr: 1.000e-03, eta: 2:49:56, time: 0.528, data_time: 0.009, memory: 43488, loss_cls: 8.8363, losses_bboxes: 0.4730, loss: 9.3093 2022-11-03 01:12:55,564 - mmdet - INFO - Epoch [10][2550/7390] lr: 1.000e-03, eta: 2:49:30, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4722, loss: 9.3079 2022-11-03 01:13:21,754 - mmdet - INFO - Epoch [10][2600/7390] lr: 1.000e-03, eta: 2:49:04, time: 0.523, data_time: 0.007, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4738, loss: 9.3079 2022-11-03 01:13:47,253 - mmdet - INFO - Epoch [10][2650/7390] lr: 1.000e-03, eta: 2:48:38, time: 0.511, data_time: 0.009, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4713, loss: 9.3055 2022-11-03 01:14:13,656 - mmdet - INFO - Epoch [10][2700/7390] lr: 1.000e-03, eta: 2:48:12, time: 0.527, data_time: 0.008, memory: 43488, loss_cls: 8.8354, losses_bboxes: 0.4728, loss: 9.3082 2022-11-03 01:14:39,332 - mmdet - INFO - Epoch [10][2750/7390] lr: 1.000e-03, eta: 2:47:46, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8303, losses_bboxes: 0.4704, loss: 9.3008 2022-11-03 01:15:05,201 - mmdet - INFO - Epoch [10][2800/7390] lr: 1.000e-03, eta: 2:47:20, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4727, loss: 9.3062 2022-11-03 01:15:31,268 - mmdet - INFO - Epoch [10][2850/7390] lr: 1.000e-03, eta: 2:46:54, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4723, loss: 9.3082 2022-11-03 01:15:56,999 - mmdet - INFO - Epoch [10][2900/7390] lr: 1.000e-03, eta: 2:46:28, time: 0.514, data_time: 0.007, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4708, loss: 9.3046 2022-11-03 01:16:22,699 - mmdet - INFO - Epoch [10][2950/7390] lr: 1.000e-03, eta: 2:46:02, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8308, losses_bboxes: 0.4727, loss: 9.3035 2022-11-03 01:16:48,798 - mmdet - INFO - Epoch [10][3000/7390] lr: 1.000e-03, eta: 2:45:36, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4713, loss: 9.3035 2022-11-03 01:17:13,810 - mmdet - INFO - Epoch [10][3050/7390] lr: 1.000e-03, eta: 2:45:10, time: 0.502, data_time: 0.010, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4720, loss: 9.3045 2022-11-03 01:17:39,659 - mmdet - INFO - Epoch [10][3100/7390] lr: 1.000e-03, eta: 2:44:44, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4725, loss: 9.3059 2022-11-03 01:18:05,499 - mmdet - INFO - Epoch [10][3150/7390] lr: 1.000e-03, eta: 2:44:18, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8307, losses_bboxes: 0.4722, loss: 9.3029 2022-11-03 01:18:30,686 - mmdet - INFO - Epoch [10][3200/7390] lr: 1.000e-03, eta: 2:43:52, time: 0.503, data_time: 0.010, memory: 43488, loss_cls: 8.8321, losses_bboxes: 0.4731, loss: 9.3052 2022-11-03 01:18:56,392 - mmdet - INFO - Epoch [10][3250/7390] lr: 1.000e-03, eta: 2:43:26, time: 0.516, data_time: 0.010, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4719, loss: 9.3065 2022-11-03 01:19:22,519 - mmdet - INFO - Epoch [10][3300/7390] lr: 1.000e-03, eta: 2:43:00, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4745, loss: 9.3096 2022-11-03 01:19:48,793 - mmdet - INFO - Epoch [10][3350/7390] lr: 1.000e-03, eta: 2:42:35, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4739, loss: 9.3092 2022-11-03 01:20:14,544 - mmdet - INFO - Epoch [10][3400/7390] lr: 1.000e-03, eta: 2:42:09, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4724, loss: 9.3060 2022-11-03 01:20:40,789 - mmdet - INFO - Epoch [10][3450/7390] lr: 1.000e-03, eta: 2:41:43, time: 0.525, data_time: 0.008, memory: 43488, loss_cls: 8.8361, losses_bboxes: 0.4727, loss: 9.3089 2022-11-03 01:21:06,533 - mmdet - INFO - Epoch [10][3500/7390] lr: 1.000e-03, eta: 2:41:17, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8318, losses_bboxes: 0.4723, loss: 9.3041 2022-11-03 01:21:32,976 - mmdet - INFO - Epoch [10][3550/7390] lr: 1.000e-03, eta: 2:40:51, time: 0.528, data_time: 0.009, memory: 43488, loss_cls: 8.8360, losses_bboxes: 0.4726, loss: 9.3086 2022-11-03 01:21:59,306 - mmdet - INFO - Epoch [10][3600/7390] lr: 1.000e-03, eta: 2:40:25, time: 0.529, data_time: 0.010, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4751, loss: 9.3082 2022-11-03 01:22:25,506 - mmdet - INFO - Epoch [10][3650/7390] lr: 1.000e-03, eta: 2:39:59, time: 0.522, data_time: 0.007, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4730, loss: 9.3073 2022-11-03 01:22:51,338 - mmdet - INFO - Epoch [10][3700/7390] lr: 1.000e-03, eta: 2:39:33, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4722, loss: 9.3066 2022-11-03 01:23:17,358 - mmdet - INFO - Epoch [10][3750/7390] lr: 1.000e-03, eta: 2:39:08, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4734, loss: 9.3064 2022-11-03 01:23:43,814 - mmdet - INFO - Epoch [10][3800/7390] lr: 1.000e-03, eta: 2:38:42, time: 0.530, data_time: 0.009, memory: 43488, loss_cls: 8.8370, losses_bboxes: 0.4730, loss: 9.3100 2022-11-03 01:24:09,644 - mmdet - INFO - Epoch [10][3850/7390] lr: 1.000e-03, eta: 2:38:16, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8381, losses_bboxes: 0.4721, loss: 9.3102 2022-11-03 01:24:35,877 - mmdet - INFO - Epoch [10][3900/7390] lr: 1.000e-03, eta: 2:37:50, time: 0.525, data_time: 0.011, memory: 43488, loss_cls: 8.8335, losses_bboxes: 0.4723, loss: 9.3058 2022-11-03 01:25:01,661 - mmdet - INFO - Epoch [10][3950/7390] lr: 1.000e-03, eta: 2:37:24, time: 0.517, data_time: 0.010, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4737, loss: 9.3095 2022-11-03 01:25:27,694 - mmdet - INFO - Epoch [10][4000/7390] lr: 1.000e-03, eta: 2:36:58, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4737, loss: 9.3071 2022-11-03 01:25:53,268 - mmdet - INFO - Epoch [10][4050/7390] lr: 1.000e-03, eta: 2:36:32, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8355, losses_bboxes: 0.4703, loss: 9.3059 2022-11-03 01:26:19,207 - mmdet - INFO - Epoch [10][4100/7390] lr: 1.000e-03, eta: 2:36:06, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4723, loss: 9.3065 2022-11-03 01:26:45,489 - mmdet - INFO - Epoch [10][4150/7390] lr: 1.000e-03, eta: 2:35:40, time: 0.526, data_time: 0.010, memory: 43488, loss_cls: 8.8369, losses_bboxes: 0.4733, loss: 9.3101 2022-11-03 01:27:11,508 - mmdet - INFO - Epoch [10][4200/7390] lr: 1.000e-03, eta: 2:35:15, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4717, loss: 9.3058 2022-11-03 01:27:37,620 - mmdet - INFO - Epoch [10][4250/7390] lr: 1.000e-03, eta: 2:34:49, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4731, loss: 9.3064 2022-11-03 01:28:03,536 - mmdet - INFO - Epoch [10][4300/7390] lr: 1.000e-03, eta: 2:34:23, time: 0.521, data_time: 0.010, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4721, loss: 9.3048 2022-11-03 01:28:28,988 - mmdet - INFO - Epoch [10][4350/7390] lr: 1.000e-03, eta: 2:33:57, time: 0.508, data_time: 0.007, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4731, loss: 9.3065 2022-11-03 01:28:55,006 - mmdet - INFO - Epoch [10][4400/7390] lr: 1.000e-03, eta: 2:33:31, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4721, loss: 9.3063 2022-11-03 01:29:20,637 - mmdet - INFO - Epoch [10][4450/7390] lr: 1.000e-03, eta: 2:33:05, time: 0.512, data_time: 0.007, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4731, loss: 9.3079 2022-11-03 01:29:47,042 - mmdet - INFO - Epoch [10][4500/7390] lr: 1.000e-03, eta: 2:32:39, time: 0.528, data_time: 0.008, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4728, loss: 9.3067 2022-11-03 01:30:12,993 - mmdet - INFO - Epoch [10][4550/7390] lr: 1.000e-03, eta: 2:32:13, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4717, loss: 9.3048 2022-11-03 01:30:38,659 - mmdet - INFO - Epoch [10][4600/7390] lr: 1.000e-03, eta: 2:31:47, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4730, loss: 9.3063 2022-11-03 01:31:04,988 - mmdet - INFO - Epoch [10][4650/7390] lr: 1.000e-03, eta: 2:31:21, time: 0.528, data_time: 0.009, memory: 43488, loss_cls: 8.8361, losses_bboxes: 0.4719, loss: 9.3080 2022-11-03 01:31:30,666 - mmdet - INFO - Epoch [10][4700/7390] lr: 1.000e-03, eta: 2:30:55, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8352, losses_bboxes: 0.4729, loss: 9.3081 2022-11-03 01:31:56,835 - mmdet - INFO - Epoch [10][4750/7390] lr: 1.000e-03, eta: 2:30:29, time: 0.523, data_time: 0.010, memory: 43488, loss_cls: 8.8304, losses_bboxes: 0.4726, loss: 9.3030 2022-11-03 01:32:22,801 - mmdet - INFO - Epoch [10][4800/7390] lr: 1.000e-03, eta: 2:30:04, time: 0.522, data_time: 0.011, memory: 43488, loss_cls: 8.8373, losses_bboxes: 0.4725, loss: 9.3099 2022-11-03 01:32:49,325 - mmdet - INFO - Epoch [10][4850/7390] lr: 1.000e-03, eta: 2:29:38, time: 0.530, data_time: 0.008, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4748, loss: 9.3086 2022-11-03 01:33:15,457 - mmdet - INFO - Epoch [10][4900/7390] lr: 1.000e-03, eta: 2:29:12, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4759, loss: 9.3107 2022-11-03 01:33:41,390 - mmdet - INFO - Epoch [10][4950/7390] lr: 1.000e-03, eta: 2:28:46, time: 0.518, data_time: 0.010, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4734, loss: 9.3078 2022-11-03 01:34:07,558 - mmdet - INFO - Epoch [10][5000/7390] lr: 1.000e-03, eta: 2:28:20, time: 0.526, data_time: 0.010, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4729, loss: 9.3081 2022-11-03 01:34:33,654 - mmdet - INFO - Epoch [10][5050/7390] lr: 1.000e-03, eta: 2:27:54, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4728, loss: 9.3059 2022-11-03 01:34:59,456 - mmdet - INFO - Epoch [10][5100/7390] lr: 1.000e-03, eta: 2:27:28, time: 0.515, data_time: 0.007, memory: 43488, loss_cls: 8.8358, losses_bboxes: 0.4705, loss: 9.3063 2022-11-03 01:35:25,527 - mmdet - INFO - Epoch [10][5150/7390] lr: 1.000e-03, eta: 2:27:02, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4740, loss: 9.3084 2022-11-03 01:35:51,888 - mmdet - INFO - Epoch [10][5200/7390] lr: 1.000e-03, eta: 2:26:37, time: 0.527, data_time: 0.008, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4743, loss: 9.3084 2022-11-03 01:36:17,919 - mmdet - INFO - Epoch [10][5250/7390] lr: 1.000e-03, eta: 2:26:11, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8365, losses_bboxes: 0.4735, loss: 9.3100 2022-11-03 01:36:44,519 - mmdet - INFO - Epoch [10][5300/7390] lr: 1.000e-03, eta: 2:25:45, time: 0.532, data_time: 0.008, memory: 43488, loss_cls: 8.8386, losses_bboxes: 0.4725, loss: 9.3111 2022-11-03 01:37:10,749 - mmdet - INFO - Epoch [10][5350/7390] lr: 1.000e-03, eta: 2:25:19, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4714, loss: 9.3057 2022-11-03 01:37:36,142 - mmdet - INFO - Epoch [10][5400/7390] lr: 1.000e-03, eta: 2:24:53, time: 0.508, data_time: 0.009, memory: 43488, loss_cls: 8.8391, losses_bboxes: 0.4714, loss: 9.3105 2022-11-03 01:38:02,037 - mmdet - INFO - Epoch [10][5450/7390] lr: 1.000e-03, eta: 2:24:27, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8314, losses_bboxes: 0.4743, loss: 9.3057 2022-11-03 01:38:27,641 - mmdet - INFO - Epoch [10][5500/7390] lr: 1.000e-03, eta: 2:24:01, time: 0.510, data_time: 0.008, memory: 43488, loss_cls: 8.8369, losses_bboxes: 0.4711, loss: 9.3080 2022-11-03 01:38:53,399 - mmdet - INFO - Epoch [10][5550/7390] lr: 1.000e-03, eta: 2:23:35, time: 0.516, data_time: 0.010, memory: 43488, loss_cls: 8.8370, losses_bboxes: 0.4713, loss: 9.3083 2022-11-03 01:39:19,210 - mmdet - INFO - Epoch [10][5600/7390] lr: 1.000e-03, eta: 2:23:09, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8382, losses_bboxes: 0.4730, loss: 9.3113 2022-11-03 01:39:44,966 - mmdet - INFO - Epoch [10][5650/7390] lr: 1.000e-03, eta: 2:22:43, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8370, losses_bboxes: 0.4719, loss: 9.3089 2022-11-03 01:40:10,749 - mmdet - INFO - Epoch [10][5700/7390] lr: 1.000e-03, eta: 2:22:17, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8311, losses_bboxes: 0.4733, loss: 9.3044 2022-11-03 01:40:36,964 - mmdet - INFO - Epoch [10][5750/7390] lr: 1.000e-03, eta: 2:21:52, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8316, losses_bboxes: 0.4718, loss: 9.3035 2022-11-03 01:41:02,883 - mmdet - INFO - Epoch [10][5800/7390] lr: 1.000e-03, eta: 2:21:26, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8329, losses_bboxes: 0.4724, loss: 9.3053 2022-11-03 01:41:29,104 - mmdet - INFO - Epoch [10][5850/7390] lr: 1.000e-03, eta: 2:21:00, time: 0.525, data_time: 0.008, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4721, loss: 9.3077 2022-11-03 01:41:55,058 - mmdet - INFO - Epoch [10][5900/7390] lr: 1.000e-03, eta: 2:20:34, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8350, losses_bboxes: 0.4722, loss: 9.3072 2022-11-03 01:42:20,796 - mmdet - INFO - Epoch [10][5950/7390] lr: 1.000e-03, eta: 2:20:08, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4705, loss: 9.3061 2022-11-03 01:42:47,065 - mmdet - INFO - Epoch [10][6000/7390] lr: 1.000e-03, eta: 2:19:42, time: 0.524, data_time: 0.007, memory: 43488, loss_cls: 8.8358, losses_bboxes: 0.4719, loss: 9.3078 2022-11-03 01:43:13,313 - mmdet - INFO - Epoch [10][6050/7390] lr: 1.000e-03, eta: 2:19:16, time: 0.526, data_time: 0.009, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4728, loss: 9.3072 2022-11-03 01:43:39,376 - mmdet - INFO - Epoch [10][6100/7390] lr: 1.000e-03, eta: 2:18:50, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4733, loss: 9.3092 2022-11-03 01:44:05,261 - mmdet - INFO - Epoch [10][6150/7390] lr: 1.000e-03, eta: 2:18:24, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4739, loss: 9.3081 2022-11-03 01:44:31,341 - mmdet - INFO - Epoch [10][6200/7390] lr: 1.000e-03, eta: 2:17:58, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8369, losses_bboxes: 0.4712, loss: 9.3081 2022-11-03 01:44:57,079 - mmdet - INFO - Epoch [10][6250/7390] lr: 1.000e-03, eta: 2:17:33, time: 0.517, data_time: 0.010, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4729, loss: 9.3067 2022-11-03 01:45:22,653 - mmdet - INFO - Epoch [10][6300/7390] lr: 1.000e-03, eta: 2:17:06, time: 0.508, data_time: 0.008, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4729, loss: 9.3059 2022-11-03 01:45:49,153 - mmdet - INFO - Epoch [10][6350/7390] lr: 1.000e-03, eta: 2:16:41, time: 0.531, data_time: 0.011, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4736, loss: 9.3080 2022-11-03 01:46:14,776 - mmdet - INFO - Epoch [10][6400/7390] lr: 1.000e-03, eta: 2:16:15, time: 0.514, data_time: 0.009, memory: 43488, loss_cls: 8.8362, losses_bboxes: 0.4724, loss: 9.3086 2022-11-03 01:46:40,922 - mmdet - INFO - Epoch [10][6450/7390] lr: 1.000e-03, eta: 2:15:49, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8329, losses_bboxes: 0.4729, loss: 9.3058 2022-11-03 01:47:07,492 - mmdet - INFO - Epoch [10][6500/7390] lr: 1.000e-03, eta: 2:15:23, time: 0.531, data_time: 0.009, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4723, loss: 9.3069 2022-11-03 01:47:33,297 - mmdet - INFO - Epoch [10][6550/7390] lr: 1.000e-03, eta: 2:14:57, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8335, losses_bboxes: 0.4728, loss: 9.3063 2022-11-03 01:47:59,456 - mmdet - INFO - Epoch [10][6600/7390] lr: 1.000e-03, eta: 2:14:31, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4701, loss: 9.3038 2022-11-03 01:48:25,291 - mmdet - INFO - Epoch [10][6650/7390] lr: 1.000e-03, eta: 2:14:05, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4730, loss: 9.3067 2022-11-03 01:48:51,448 - mmdet - INFO - Epoch [10][6700/7390] lr: 1.000e-03, eta: 2:13:39, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8318, losses_bboxes: 0.4733, loss: 9.3051 2022-11-03 01:49:17,402 - mmdet - INFO - Epoch [10][6750/7390] lr: 1.000e-03, eta: 2:13:14, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8350, losses_bboxes: 0.4734, loss: 9.3084 2022-11-03 01:49:43,625 - mmdet - INFO - Epoch [10][6800/7390] lr: 1.000e-03, eta: 2:12:48, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8362, losses_bboxes: 0.4746, loss: 9.3108 2022-11-03 01:50:09,186 - mmdet - INFO - Epoch [10][6850/7390] lr: 1.000e-03, eta: 2:12:22, time: 0.511, data_time: 0.009, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4729, loss: 9.3086 2022-11-03 01:50:35,291 - mmdet - INFO - Epoch [10][6900/7390] lr: 1.000e-03, eta: 2:11:56, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4732, loss: 9.3071 2022-11-03 01:51:01,212 - mmdet - INFO - Epoch [10][6950/7390] lr: 1.000e-03, eta: 2:11:30, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4713, loss: 9.3046 2022-11-03 01:51:26,906 - mmdet - INFO - Epoch [10][7000/7390] lr: 1.000e-03, eta: 2:11:04, time: 0.515, data_time: 0.011, memory: 43488, loss_cls: 8.8300, losses_bboxes: 0.4726, loss: 9.3026 2022-11-03 01:51:52,654 - mmdet - INFO - Epoch [10][7050/7390] lr: 1.000e-03, eta: 2:10:38, time: 0.516, data_time: 0.010, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4738, loss: 9.3080 2022-11-03 01:52:19,110 - mmdet - INFO - Epoch [10][7100/7390] lr: 1.000e-03, eta: 2:10:12, time: 0.528, data_time: 0.008, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4721, loss: 9.3053 2022-11-03 01:52:45,279 - mmdet - INFO - Epoch [10][7150/7390] lr: 1.000e-03, eta: 2:09:46, time: 0.525, data_time: 0.010, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4713, loss: 9.3057 2022-11-03 01:53:11,184 - mmdet - INFO - Epoch [10][7200/7390] lr: 1.000e-03, eta: 2:09:20, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8323, losses_bboxes: 0.4737, loss: 9.3060 2022-11-03 01:53:37,200 - mmdet - INFO - Epoch [10][7250/7390] lr: 1.000e-03, eta: 2:08:54, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8316, losses_bboxes: 0.4721, loss: 9.3037 2022-11-03 01:54:02,761 - mmdet - INFO - Epoch [10][7300/7390] lr: 1.000e-03, eta: 2:08:28, time: 0.511, data_time: 0.009, memory: 43488, loss_cls: 8.8360, losses_bboxes: 0.4728, loss: 9.3088 2022-11-03 01:54:29,111 - mmdet - INFO - Epoch [10][7350/7390] lr: 1.000e-03, eta: 2:08:03, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4742, loss: 9.3086 2022-11-03 01:54:49,965 - mmdet - INFO - Saving checkpoint at 10 epochs 2022-11-03 01:55:19,771 - mmdet - INFO - Epoch [11][50/7390] lr: 1.000e-03, eta: 2:07:12, time: 0.576, data_time: 0.067, memory: 43488, loss_cls: 8.8302, losses_bboxes: 0.4710, loss: 9.3012 2022-11-03 01:55:45,755 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 01:55:45,755 - mmdet - INFO - Epoch [11][100/7390] lr: 1.000e-03, eta: 2:06:46, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4707, loss: 9.3027 2022-11-03 01:56:11,663 - mmdet - INFO - Epoch [11][150/7390] lr: 1.000e-03, eta: 2:06:21, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4739, loss: 9.3076 2022-11-03 01:56:38,004 - mmdet - INFO - Epoch [11][200/7390] lr: 1.000e-03, eta: 2:05:55, time: 0.528, data_time: 0.008, memory: 43488, loss_cls: 8.8363, losses_bboxes: 0.4743, loss: 9.3106 2022-11-03 01:57:04,135 - mmdet - INFO - Epoch [11][250/7390] lr: 1.000e-03, eta: 2:05:29, time: 0.521, data_time: 0.007, memory: 43488, loss_cls: 8.8354, losses_bboxes: 0.4734, loss: 9.3089 2022-11-03 01:57:30,052 - mmdet - INFO - Epoch [11][300/7390] lr: 1.000e-03, eta: 2:05:03, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8352, losses_bboxes: 0.4731, loss: 9.3083 2022-11-03 01:57:56,446 - mmdet - INFO - Epoch [11][350/7390] lr: 1.000e-03, eta: 2:04:37, time: 0.528, data_time: 0.008, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4739, loss: 9.3090 2022-11-03 01:58:22,488 - mmdet - INFO - Epoch [11][400/7390] lr: 1.000e-03, eta: 2:04:11, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4715, loss: 9.3056 2022-11-03 01:58:48,583 - mmdet - INFO - Epoch [11][450/7390] lr: 1.000e-03, eta: 2:03:45, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4709, loss: 9.3065 2022-11-03 01:59:14,471 - mmdet - INFO - Epoch [11][500/7390] lr: 1.000e-03, eta: 2:03:19, time: 0.517, data_time: 0.007, memory: 43488, loss_cls: 8.8318, losses_bboxes: 0.4724, loss: 9.3042 2022-11-03 01:59:40,212 - mmdet - INFO - Epoch [11][550/7390] lr: 1.000e-03, eta: 2:02:54, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8314, losses_bboxes: 0.4740, loss: 9.3054 2022-11-03 02:00:06,044 - mmdet - INFO - Epoch [11][600/7390] lr: 1.000e-03, eta: 2:02:28, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4716, loss: 9.3068 2022-11-03 02:00:31,806 - mmdet - INFO - Epoch [11][650/7390] lr: 1.000e-03, eta: 2:02:02, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4741, loss: 9.3081 2022-11-03 02:00:57,707 - mmdet - INFO - Epoch [11][700/7390] lr: 1.000e-03, eta: 2:01:36, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4723, loss: 9.3082 2022-11-03 02:01:23,587 - mmdet - INFO - Epoch [11][750/7390] lr: 1.000e-03, eta: 2:01:10, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4749, loss: 9.3075 2022-11-03 02:01:49,573 - mmdet - INFO - Epoch [11][800/7390] lr: 1.000e-03, eta: 2:00:44, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4726, loss: 9.3054 2022-11-03 02:02:15,772 - mmdet - INFO - Epoch [11][850/7390] lr: 1.000e-03, eta: 2:00:18, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4708, loss: 9.3051 2022-11-03 02:02:41,633 - mmdet - INFO - Epoch [11][900/7390] lr: 1.000e-03, eta: 1:59:52, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4725, loss: 9.3063 2022-11-03 02:03:07,264 - mmdet - INFO - Epoch [11][950/7390] lr: 1.000e-03, eta: 1:59:26, time: 0.512, data_time: 0.007, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4728, loss: 9.3084 2022-11-03 02:03:32,946 - mmdet - INFO - Epoch [11][1000/7390] lr: 1.000e-03, eta: 1:59:00, time: 0.513, data_time: 0.009, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4720, loss: 9.3051 2022-11-03 02:03:58,584 - mmdet - INFO - Epoch [11][1050/7390] lr: 1.000e-03, eta: 1:58:34, time: 0.512, data_time: 0.009, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4708, loss: 9.3050 2022-11-03 02:04:24,453 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 02:04:24,454 - mmdet - INFO - Epoch [11][1100/7390] lr: 1.000e-03, eta: 1:58:08, time: 0.517, data_time: 0.010, memory: 43488, loss_cls: 8.8335, losses_bboxes: 0.4717, loss: 9.3052 2022-11-03 02:04:50,595 - mmdet - INFO - Epoch [11][1150/7390] lr: 1.000e-03, eta: 1:57:43, time: 0.523, data_time: 0.010, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4733, loss: 9.3070 2022-11-03 02:05:15,894 - mmdet - INFO - Epoch [11][1200/7390] lr: 1.000e-03, eta: 1:57:17, time: 0.508, data_time: 0.010, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4734, loss: 9.3060 2022-11-03 02:05:41,342 - mmdet - INFO - Epoch [11][1250/7390] lr: 1.000e-03, eta: 1:56:51, time: 0.508, data_time: 0.008, memory: 43488, loss_cls: 8.8329, losses_bboxes: 0.4716, loss: 9.3045 2022-11-03 02:06:07,209 - mmdet - INFO - Epoch [11][1300/7390] lr: 1.000e-03, eta: 1:56:25, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8324, losses_bboxes: 0.4730, loss: 9.3055 2022-11-03 02:06:33,425 - mmdet - INFO - Epoch [11][1350/7390] lr: 1.000e-03, eta: 1:55:59, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4727, loss: 9.3065 2022-11-03 02:06:59,170 - mmdet - INFO - Epoch [11][1400/7390] lr: 1.000e-03, eta: 1:55:33, time: 0.517, data_time: 0.010, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4694, loss: 9.3032 2022-11-03 02:07:25,314 - mmdet - INFO - Epoch [11][1450/7390] lr: 1.000e-03, eta: 1:55:07, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8388, losses_bboxes: 0.4741, loss: 9.3129 2022-11-03 02:07:51,095 - mmdet - INFO - Epoch [11][1500/7390] lr: 1.000e-03, eta: 1:54:41, time: 0.518, data_time: 0.011, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4719, loss: 9.3046 2022-11-03 02:08:17,555 - mmdet - INFO - Epoch [11][1550/7390] lr: 1.000e-03, eta: 1:54:15, time: 0.530, data_time: 0.008, memory: 43488, loss_cls: 8.8323, losses_bboxes: 0.4714, loss: 9.3037 2022-11-03 02:08:43,589 - mmdet - INFO - Epoch [11][1600/7390] lr: 1.000e-03, eta: 1:53:49, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4713, loss: 9.3043 2022-11-03 02:09:09,055 - mmdet - INFO - Epoch [11][1650/7390] lr: 1.000e-03, eta: 1:53:23, time: 0.509, data_time: 0.008, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4719, loss: 9.3048 2022-11-03 02:09:35,540 - mmdet - INFO - Epoch [11][1700/7390] lr: 1.000e-03, eta: 1:52:58, time: 0.529, data_time: 0.008, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4735, loss: 9.3082 2022-11-03 02:10:01,635 - mmdet - INFO - Epoch [11][1750/7390] lr: 1.000e-03, eta: 1:52:32, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8314, losses_bboxes: 0.4726, loss: 9.3040 2022-11-03 02:10:27,174 - mmdet - INFO - Epoch [11][1800/7390] lr: 1.000e-03, eta: 1:52:06, time: 0.510, data_time: 0.008, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4720, loss: 9.3057 2022-11-03 02:10:53,136 - mmdet - INFO - Epoch [11][1850/7390] lr: 1.000e-03, eta: 1:51:40, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4714, loss: 9.3061 2022-11-03 02:11:18,544 - mmdet - INFO - Epoch [11][1900/7390] lr: 1.000e-03, eta: 1:51:14, time: 0.509, data_time: 0.009, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4728, loss: 9.3079 2022-11-03 02:11:44,840 - mmdet - INFO - Epoch [11][1950/7390] lr: 1.000e-03, eta: 1:50:48, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4736, loss: 9.3084 2022-11-03 02:12:11,113 - mmdet - INFO - Epoch [11][2000/7390] lr: 1.000e-03, eta: 1:50:22, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8377, losses_bboxes: 0.4712, loss: 9.3089 2022-11-03 02:12:37,057 - mmdet - INFO - Epoch [11][2050/7390] lr: 1.000e-03, eta: 1:49:56, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4728, loss: 9.3087 2022-11-03 02:13:03,339 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 02:13:03,339 - mmdet - INFO - Epoch [11][2100/7390] lr: 1.000e-03, eta: 1:49:30, time: 0.526, data_time: 0.010, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4736, loss: 9.3084 2022-11-03 02:13:29,268 - mmdet - INFO - Epoch [11][2150/7390] lr: 1.000e-03, eta: 1:49:04, time: 0.521, data_time: 0.010, memory: 43488, loss_cls: 8.8310, losses_bboxes: 0.4734, loss: 9.3044 2022-11-03 02:13:55,257 - mmdet - INFO - Epoch [11][2200/7390] lr: 1.000e-03, eta: 1:48:39, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4730, loss: 9.3088 2022-11-03 02:14:21,498 - mmdet - INFO - Epoch [11][2250/7390] lr: 1.000e-03, eta: 1:48:13, time: 0.525, data_time: 0.008, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4721, loss: 9.3078 2022-11-03 02:14:47,337 - mmdet - INFO - Epoch [11][2300/7390] lr: 1.000e-03, eta: 1:47:47, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4739, loss: 9.3078 2022-11-03 02:15:13,249 - mmdet - INFO - Epoch [11][2350/7390] lr: 1.000e-03, eta: 1:47:21, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4708, loss: 9.3038 2022-11-03 02:15:39,567 - mmdet - INFO - Epoch [11][2400/7390] lr: 1.000e-03, eta: 1:46:55, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4739, loss: 9.3087 2022-11-03 02:16:05,277 - mmdet - INFO - Epoch [11][2450/7390] lr: 1.000e-03, eta: 1:46:29, time: 0.514, data_time: 0.010, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4717, loss: 9.3059 2022-11-03 02:16:31,193 - mmdet - INFO - Epoch [11][2500/7390] lr: 1.000e-03, eta: 1:46:03, time: 0.518, data_time: 0.010, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4739, loss: 9.3071 2022-11-03 02:16:56,759 - mmdet - INFO - Epoch [11][2550/7390] lr: 1.000e-03, eta: 1:45:37, time: 0.513, data_time: 0.010, memory: 43488, loss_cls: 8.8350, losses_bboxes: 0.4700, loss: 9.3050 2022-11-03 02:17:23,019 - mmdet - INFO - Epoch [11][2600/7390] lr: 1.000e-03, eta: 1:45:11, time: 0.525, data_time: 0.008, memory: 43488, loss_cls: 8.8360, losses_bboxes: 0.4722, loss: 9.3082 2022-11-03 02:17:49,458 - mmdet - INFO - Epoch [11][2650/7390] lr: 1.000e-03, eta: 1:44:45, time: 0.529, data_time: 0.008, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4723, loss: 9.3067 2022-11-03 02:18:16,130 - mmdet - INFO - Epoch [11][2700/7390] lr: 1.000e-03, eta: 1:44:20, time: 0.531, data_time: 0.008, memory: 43488, loss_cls: 8.8355, losses_bboxes: 0.4727, loss: 9.3082 2022-11-03 02:18:42,208 - mmdet - INFO - Epoch [11][2750/7390] lr: 1.000e-03, eta: 1:43:54, time: 0.523, data_time: 0.010, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4710, loss: 9.3036 2022-11-03 02:19:08,331 - mmdet - INFO - Epoch [11][2800/7390] lr: 1.000e-03, eta: 1:43:28, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4724, loss: 9.3055 2022-11-03 02:19:34,265 - mmdet - INFO - Epoch [11][2850/7390] lr: 1.000e-03, eta: 1:43:02, time: 0.522, data_time: 0.011, memory: 43488, loss_cls: 8.8366, losses_bboxes: 0.4726, loss: 9.3092 2022-11-03 02:20:00,190 - mmdet - INFO - Epoch [11][2900/7390] lr: 1.000e-03, eta: 1:42:36, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8378, losses_bboxes: 0.4741, loss: 9.3120 2022-11-03 02:20:25,898 - mmdet - INFO - Epoch [11][2950/7390] lr: 1.000e-03, eta: 1:42:10, time: 0.516, data_time: 0.010, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4729, loss: 9.3068 2022-11-03 02:20:51,977 - mmdet - INFO - Epoch [11][3000/7390] lr: 1.000e-03, eta: 1:41:44, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8358, losses_bboxes: 0.4724, loss: 9.3082 2022-11-03 02:21:17,624 - mmdet - INFO - Epoch [11][3050/7390] lr: 1.000e-03, eta: 1:41:18, time: 0.515, data_time: 0.010, memory: 43488, loss_cls: 8.8370, losses_bboxes: 0.4717, loss: 9.3087 2022-11-03 02:21:43,348 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 02:21:43,349 - mmdet - INFO - Epoch [11][3100/7390] lr: 1.000e-03, eta: 1:40:52, time: 0.513, data_time: 0.008, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4737, loss: 9.3075 2022-11-03 02:22:09,462 - mmdet - INFO - Epoch [11][3150/7390] lr: 1.000e-03, eta: 1:40:27, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8316, losses_bboxes: 0.4699, loss: 9.3015 2022-11-03 02:22:35,487 - mmdet - INFO - Epoch [11][3200/7390] lr: 1.000e-03, eta: 1:40:01, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8369, losses_bboxes: 0.4721, loss: 9.3090 2022-11-03 02:23:00,901 - mmdet - INFO - Epoch [11][3250/7390] lr: 1.000e-03, eta: 1:39:35, time: 0.507, data_time: 0.008, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4750, loss: 9.3087 2022-11-03 02:23:26,538 - mmdet - INFO - Epoch [11][3300/7390] lr: 1.000e-03, eta: 1:39:09, time: 0.511, data_time: 0.009, memory: 43488, loss_cls: 8.8366, losses_bboxes: 0.4728, loss: 9.3095 2022-11-03 02:23:52,815 - mmdet - INFO - Epoch [11][3350/7390] lr: 1.000e-03, eta: 1:38:43, time: 0.527, data_time: 0.011, memory: 43488, loss_cls: 8.8307, losses_bboxes: 0.4729, loss: 9.3037 2022-11-03 02:24:18,779 - mmdet - INFO - Epoch [11][3400/7390] lr: 1.000e-03, eta: 1:38:17, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4723, loss: 9.3048 2022-11-03 02:24:45,074 - mmdet - INFO - Epoch [11][3450/7390] lr: 1.000e-03, eta: 1:37:51, time: 0.524, data_time: 0.009, memory: 43488, loss_cls: 8.8311, losses_bboxes: 0.4736, loss: 9.3047 2022-11-03 02:25:10,831 - mmdet - INFO - Epoch [11][3500/7390] lr: 1.000e-03, eta: 1:37:25, time: 0.517, data_time: 0.010, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4734, loss: 9.3060 2022-11-03 02:25:36,967 - mmdet - INFO - Epoch [11][3550/7390] lr: 1.000e-03, eta: 1:36:59, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4740, loss: 9.3087 2022-11-03 02:26:02,826 - mmdet - INFO - Epoch [11][3600/7390] lr: 1.000e-03, eta: 1:36:33, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4722, loss: 9.3055 2022-11-03 02:26:29,071 - mmdet - INFO - Epoch [11][3650/7390] lr: 1.000e-03, eta: 1:36:07, time: 0.525, data_time: 0.008, memory: 43488, loss_cls: 8.8369, losses_bboxes: 0.4739, loss: 9.3108 2022-11-03 02:26:55,001 - mmdet - INFO - Epoch [11][3700/7390] lr: 1.000e-03, eta: 1:35:42, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4722, loss: 9.3067 2022-11-03 02:27:20,831 - mmdet - INFO - Epoch [11][3750/7390] lr: 1.000e-03, eta: 1:35:16, time: 0.519, data_time: 0.010, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4734, loss: 9.3091 2022-11-03 02:27:46,925 - mmdet - INFO - Epoch [11][3800/7390] lr: 1.000e-03, eta: 1:34:50, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8362, losses_bboxes: 0.4733, loss: 9.3095 2022-11-03 02:28:12,481 - mmdet - INFO - Epoch [11][3850/7390] lr: 1.000e-03, eta: 1:34:24, time: 0.510, data_time: 0.008, memory: 43488, loss_cls: 8.8362, losses_bboxes: 0.4729, loss: 9.3090 2022-11-03 02:28:38,859 - mmdet - INFO - Epoch [11][3900/7390] lr: 1.000e-03, eta: 1:33:58, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8379, losses_bboxes: 0.4735, loss: 9.3114 2022-11-03 02:29:05,178 - mmdet - INFO - Epoch [11][3950/7390] lr: 1.000e-03, eta: 1:33:32, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4729, loss: 9.3066 2022-11-03 02:29:31,085 - mmdet - INFO - Epoch [11][4000/7390] lr: 1.000e-03, eta: 1:33:06, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4716, loss: 9.3061 2022-11-03 02:29:57,018 - mmdet - INFO - Epoch [11][4050/7390] lr: 1.000e-03, eta: 1:32:40, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8362, losses_bboxes: 0.4722, loss: 9.3084 2022-11-03 02:30:22,822 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 02:30:22,822 - mmdet - INFO - Epoch [11][4100/7390] lr: 1.000e-03, eta: 1:32:14, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4732, loss: 9.3053 2022-11-03 02:30:48,573 - mmdet - INFO - Epoch [11][4150/7390] lr: 1.000e-03, eta: 1:31:48, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4715, loss: 9.3047 2022-11-03 02:31:14,123 - mmdet - INFO - Epoch [11][4200/7390] lr: 1.000e-03, eta: 1:31:22, time: 0.511, data_time: 0.009, memory: 43488, loss_cls: 8.8365, losses_bboxes: 0.4723, loss: 9.3088 2022-11-03 02:31:40,484 - mmdet - INFO - Epoch [11][4250/7390] lr: 1.000e-03, eta: 1:30:57, time: 0.528, data_time: 0.008, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4718, loss: 9.3055 2022-11-03 02:32:06,316 - mmdet - INFO - Epoch [11][4300/7390] lr: 1.000e-03, eta: 1:30:31, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8366, losses_bboxes: 0.4736, loss: 9.3102 2022-11-03 02:32:32,502 - mmdet - INFO - Epoch [11][4350/7390] lr: 1.000e-03, eta: 1:30:05, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8355, losses_bboxes: 0.4729, loss: 9.3084 2022-11-03 02:32:58,474 - mmdet - INFO - Epoch [11][4400/7390] lr: 1.000e-03, eta: 1:29:39, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8362, losses_bboxes: 0.4721, loss: 9.3082 2022-11-03 02:33:24,388 - mmdet - INFO - Epoch [11][4450/7390] lr: 1.000e-03, eta: 1:29:13, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4714, loss: 9.3061 2022-11-03 02:33:50,394 - mmdet - INFO - Epoch [11][4500/7390] lr: 1.000e-03, eta: 1:28:47, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8382, losses_bboxes: 0.4720, loss: 9.3102 2022-11-03 02:34:16,560 - mmdet - INFO - Epoch [11][4550/7390] lr: 1.000e-03, eta: 1:28:21, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4702, loss: 9.3060 2022-11-03 02:34:42,615 - mmdet - INFO - Epoch [11][4600/7390] lr: 1.000e-03, eta: 1:27:55, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8355, losses_bboxes: 0.4723, loss: 9.3078 2022-11-03 02:35:08,210 - mmdet - INFO - Epoch [11][4650/7390] lr: 1.000e-03, eta: 1:27:29, time: 0.514, data_time: 0.010, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4725, loss: 9.3082 2022-11-03 02:35:34,293 - mmdet - INFO - Epoch [11][4700/7390] lr: 1.000e-03, eta: 1:27:03, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4723, loss: 9.3064 2022-11-03 02:36:00,218 - mmdet - INFO - Epoch [11][4750/7390] lr: 1.000e-03, eta: 1:26:38, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8309, losses_bboxes: 0.4717, loss: 9.3025 2022-11-03 02:36:26,305 - mmdet - INFO - Epoch [11][4800/7390] lr: 1.000e-03, eta: 1:26:12, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8358, losses_bboxes: 0.4712, loss: 9.3070 2022-11-03 02:36:52,585 - mmdet - INFO - Epoch [11][4850/7390] lr: 1.000e-03, eta: 1:25:46, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8360, losses_bboxes: 0.4731, loss: 9.3091 2022-11-03 02:37:17,879 - mmdet - INFO - Epoch [11][4900/7390] lr: 1.000e-03, eta: 1:25:20, time: 0.506, data_time: 0.009, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4716, loss: 9.3049 2022-11-03 02:37:43,684 - mmdet - INFO - Epoch [11][4950/7390] lr: 1.000e-03, eta: 1:24:54, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4725, loss: 9.3067 2022-11-03 02:38:09,659 - mmdet - INFO - Epoch [11][5000/7390] lr: 1.000e-03, eta: 1:24:28, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4720, loss: 9.3065 2022-11-03 02:38:35,635 - mmdet - INFO - Epoch [11][5050/7390] lr: 1.000e-03, eta: 1:24:02, time: 0.520, data_time: 0.010, memory: 43488, loss_cls: 8.8350, losses_bboxes: 0.4721, loss: 9.3071 2022-11-03 02:39:01,219 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 02:39:01,219 - mmdet - INFO - Epoch [11][5100/7390] lr: 1.000e-03, eta: 1:23:36, time: 0.511, data_time: 0.009, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4723, loss: 9.3048 2022-11-03 02:39:27,232 - mmdet - INFO - Epoch [11][5150/7390] lr: 1.000e-03, eta: 1:23:10, time: 0.521, data_time: 0.010, memory: 43488, loss_cls: 8.8365, losses_bboxes: 0.4738, loss: 9.3102 2022-11-03 02:39:53,517 - mmdet - INFO - Epoch [11][5200/7390] lr: 1.000e-03, eta: 1:22:44, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8372, losses_bboxes: 0.4739, loss: 9.3111 2022-11-03 02:40:19,405 - mmdet - INFO - Epoch [11][5250/7390] lr: 1.000e-03, eta: 1:22:18, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4715, loss: 9.3049 2022-11-03 02:40:45,215 - mmdet - INFO - Epoch [11][5300/7390] lr: 1.000e-03, eta: 1:21:52, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4713, loss: 9.3040 2022-11-03 02:41:11,413 - mmdet - INFO - Epoch [11][5350/7390] lr: 1.000e-03, eta: 1:21:27, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8324, losses_bboxes: 0.4745, loss: 9.3069 2022-11-03 02:41:37,723 - mmdet - INFO - Epoch [11][5400/7390] lr: 1.000e-03, eta: 1:21:01, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4734, loss: 9.3087 2022-11-03 02:42:03,304 - mmdet - INFO - Epoch [11][5450/7390] lr: 1.000e-03, eta: 1:20:35, time: 0.511, data_time: 0.009, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4710, loss: 9.3052 2022-11-03 02:42:29,039 - mmdet - INFO - Epoch [11][5500/7390] lr: 1.000e-03, eta: 1:20:09, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4710, loss: 9.3038 2022-11-03 02:42:55,299 - mmdet - INFO - Epoch [11][5550/7390] lr: 1.000e-03, eta: 1:19:43, time: 0.525, data_time: 0.008, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4729, loss: 9.3076 2022-11-03 02:43:21,383 - mmdet - INFO - Epoch [11][5600/7390] lr: 1.000e-03, eta: 1:19:17, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4726, loss: 9.3053 2022-11-03 02:43:46,768 - mmdet - INFO - Epoch [11][5650/7390] lr: 1.000e-03, eta: 1:18:51, time: 0.507, data_time: 0.008, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4740, loss: 9.3072 2022-11-03 02:44:12,118 - mmdet - INFO - Epoch [11][5700/7390] lr: 1.000e-03, eta: 1:18:25, time: 0.508, data_time: 0.009, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4713, loss: 9.3033 2022-11-03 02:44:37,947 - mmdet - INFO - Epoch [11][5750/7390] lr: 1.000e-03, eta: 1:17:59, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4722, loss: 9.3062 2022-11-03 02:45:04,233 - mmdet - INFO - Epoch [11][5800/7390] lr: 1.000e-03, eta: 1:17:33, time: 0.526, data_time: 0.010, memory: 43488, loss_cls: 8.8366, losses_bboxes: 0.4721, loss: 9.3087 2022-11-03 02:45:30,320 - mmdet - INFO - Epoch [11][5850/7390] lr: 1.000e-03, eta: 1:17:07, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8367, losses_bboxes: 0.4743, loss: 9.3111 2022-11-03 02:45:55,985 - mmdet - INFO - Epoch [11][5900/7390] lr: 1.000e-03, eta: 1:16:42, time: 0.514, data_time: 0.009, memory: 43488, loss_cls: 8.8329, losses_bboxes: 0.4716, loss: 9.3046 2022-11-03 02:46:22,137 - mmdet - INFO - Epoch [11][5950/7390] lr: 1.000e-03, eta: 1:16:16, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8323, losses_bboxes: 0.4715, loss: 9.3038 2022-11-03 02:46:48,101 - mmdet - INFO - Epoch [11][6000/7390] lr: 1.000e-03, eta: 1:15:50, time: 0.520, data_time: 0.010, memory: 43488, loss_cls: 8.8369, losses_bboxes: 0.4730, loss: 9.3099 2022-11-03 02:47:13,756 - mmdet - INFO - Epoch [11][6050/7390] lr: 1.000e-03, eta: 1:15:24, time: 0.513, data_time: 0.009, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4733, loss: 9.3073 2022-11-03 02:47:39,829 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 02:47:39,829 - mmdet - INFO - Epoch [11][6100/7390] lr: 1.000e-03, eta: 1:14:58, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4721, loss: 9.3057 2022-11-03 02:48:05,998 - mmdet - INFO - Epoch [11][6150/7390] lr: 1.000e-03, eta: 1:14:32, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8341, losses_bboxes: 0.4713, loss: 9.3055 2022-11-03 02:48:32,201 - mmdet - INFO - Epoch [11][6200/7390] lr: 1.000e-03, eta: 1:14:06, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4727, loss: 9.3070 2022-11-03 02:48:58,333 - mmdet - INFO - Epoch [11][6250/7390] lr: 1.000e-03, eta: 1:13:40, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4705, loss: 9.3049 2022-11-03 02:49:24,308 - mmdet - INFO - Epoch [11][6300/7390] lr: 1.000e-03, eta: 1:13:14, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4739, loss: 9.3076 2022-11-03 02:49:50,317 - mmdet - INFO - Epoch [11][6350/7390] lr: 1.000e-03, eta: 1:12:48, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8316, losses_bboxes: 0.4721, loss: 9.3036 2022-11-03 02:50:16,383 - mmdet - INFO - Epoch [11][6400/7390] lr: 1.000e-03, eta: 1:12:23, time: 0.522, data_time: 0.009, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4722, loss: 9.3059 2022-11-03 02:50:42,802 - mmdet - INFO - Epoch [11][6450/7390] lr: 1.000e-03, eta: 1:11:57, time: 0.527, data_time: 0.008, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4738, loss: 9.3082 2022-11-03 02:51:08,772 - mmdet - INFO - Epoch [11][6500/7390] lr: 1.000e-03, eta: 1:11:31, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8379, losses_bboxes: 0.4719, loss: 9.3098 2022-11-03 02:51:35,058 - mmdet - INFO - Epoch [11][6550/7390] lr: 1.000e-03, eta: 1:11:05, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4724, loss: 9.3067 2022-11-03 02:52:01,185 - mmdet - INFO - Epoch [11][6600/7390] lr: 1.000e-03, eta: 1:10:39, time: 0.524, data_time: 0.010, memory: 43488, loss_cls: 8.8352, losses_bboxes: 0.4733, loss: 9.3085 2022-11-03 02:52:27,292 - mmdet - INFO - Epoch [11][6650/7390] lr: 1.000e-03, eta: 1:10:13, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8329, losses_bboxes: 0.4735, loss: 9.3065 2022-11-03 02:52:53,512 - mmdet - INFO - Epoch [11][6700/7390] lr: 1.000e-03, eta: 1:09:47, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8367, losses_bboxes: 0.4731, loss: 9.3097 2022-11-03 02:53:19,886 - mmdet - INFO - Epoch [11][6750/7390] lr: 1.000e-03, eta: 1:09:21, time: 0.526, data_time: 0.009, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4744, loss: 9.3092 2022-11-03 02:53:45,947 - mmdet - INFO - Epoch [11][6800/7390] lr: 1.000e-03, eta: 1:08:55, time: 0.521, data_time: 0.010, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4743, loss: 9.3092 2022-11-03 02:54:11,345 - mmdet - INFO - Epoch [11][6850/7390] lr: 1.000e-03, eta: 1:08:29, time: 0.508, data_time: 0.010, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4696, loss: 9.3039 2022-11-03 02:54:37,030 - mmdet - INFO - Epoch [11][6900/7390] lr: 1.000e-03, eta: 1:08:04, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4712, loss: 9.3049 2022-11-03 02:55:03,277 - mmdet - INFO - Epoch [11][6950/7390] lr: 1.000e-03, eta: 1:07:38, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8369, losses_bboxes: 0.4732, loss: 9.3101 2022-11-03 02:55:29,061 - mmdet - INFO - Epoch [11][7000/7390] lr: 1.000e-03, eta: 1:07:12, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4721, loss: 9.3067 2022-11-03 02:55:54,935 - mmdet - INFO - Epoch [11][7050/7390] lr: 1.000e-03, eta: 1:06:46, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4723, loss: 9.3070 2022-11-03 02:56:21,055 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 02:56:21,056 - mmdet - INFO - Epoch [11][7100/7390] lr: 1.000e-03, eta: 1:06:20, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4726, loss: 9.3074 2022-11-03 02:56:46,856 - mmdet - INFO - Epoch [11][7150/7390] lr: 1.000e-03, eta: 1:05:54, time: 0.515, data_time: 0.007, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4724, loss: 9.3044 2022-11-03 02:57:12,800 - mmdet - INFO - Epoch [11][7200/7390] lr: 1.000e-03, eta: 1:05:28, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8369, losses_bboxes: 0.4737, loss: 9.3106 2022-11-03 02:57:39,040 - mmdet - INFO - Epoch [11][7250/7390] lr: 1.000e-03, eta: 1:05:02, time: 0.525, data_time: 0.010, memory: 43488, loss_cls: 8.8366, losses_bboxes: 0.4725, loss: 9.3091 2022-11-03 02:58:05,167 - mmdet - INFO - Epoch [11][7300/7390] lr: 1.000e-03, eta: 1:04:36, time: 0.524, data_time: 0.009, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4714, loss: 9.3057 2022-11-03 02:58:31,399 - mmdet - INFO - Epoch [11][7350/7390] lr: 1.000e-03, eta: 1:04:10, time: 0.522, data_time: 0.007, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4725, loss: 9.3049 2022-11-03 02:58:52,209 - mmdet - INFO - Saving checkpoint at 11 epochs 2022-11-03 02:59:22,161 - mmdet - INFO - Epoch [12][50/7390] lr: 1.000e-04, eta: 1:03:22, time: 0.578, data_time: 0.069, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4725, loss: 9.3070 2022-11-03 02:59:48,059 - mmdet - INFO - Epoch [12][100/7390] lr: 1.000e-04, eta: 1:02:56, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4721, loss: 9.3066 2022-11-03 03:00:14,214 - mmdet - INFO - Epoch [12][150/7390] lr: 1.000e-04, eta: 1:02:30, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4737, loss: 9.3077 2022-11-03 03:00:40,083 - mmdet - INFO - Epoch [12][200/7390] lr: 1.000e-04, eta: 1:02:04, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4721, loss: 9.3066 2022-11-03 03:01:06,418 - mmdet - INFO - Epoch [12][250/7390] lr: 1.000e-04, eta: 1:01:39, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4719, loss: 9.3059 2022-11-03 03:01:32,316 - mmdet - INFO - Epoch [12][300/7390] lr: 1.000e-04, eta: 1:01:13, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4721, loss: 9.3074 2022-11-03 03:01:58,048 - mmdet - INFO - Epoch [12][350/7390] lr: 1.000e-04, eta: 1:00:47, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4722, loss: 9.3079 2022-11-03 03:02:23,812 - mmdet - INFO - Epoch [12][400/7390] lr: 1.000e-04, eta: 1:00:21, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4716, loss: 9.3065 2022-11-03 03:02:50,138 - mmdet - INFO - Epoch [12][450/7390] lr: 1.000e-04, eta: 0:59:55, time: 0.525, data_time: 0.008, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4725, loss: 9.3050 2022-11-03 03:03:16,177 - mmdet - INFO - Epoch [12][500/7390] lr: 1.000e-04, eta: 0:59:29, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4723, loss: 9.3078 2022-11-03 03:03:42,207 - mmdet - INFO - Epoch [12][550/7390] lr: 1.000e-04, eta: 0:59:03, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8308, losses_bboxes: 0.4719, loss: 9.3027 2022-11-03 03:04:08,171 - mmdet - INFO - Epoch [12][600/7390] lr: 1.000e-04, eta: 0:58:37, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8350, losses_bboxes: 0.4698, loss: 9.3048 2022-11-03 03:04:33,821 - mmdet - INFO - Epoch [12][650/7390] lr: 1.000e-04, eta: 0:58:11, time: 0.514, data_time: 0.009, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4709, loss: 9.3061 2022-11-03 03:04:59,654 - mmdet - INFO - Epoch [12][700/7390] lr: 1.000e-04, eta: 0:57:45, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4713, loss: 9.3051 2022-11-03 03:05:25,403 - mmdet - INFO - Epoch [12][750/7390] lr: 1.000e-04, eta: 0:57:20, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8350, losses_bboxes: 0.4718, loss: 9.3068 2022-11-03 03:05:51,006 - mmdet - INFO - Epoch [12][800/7390] lr: 1.000e-04, eta: 0:56:54, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8329, losses_bboxes: 0.4712, loss: 9.3041 2022-11-03 03:06:17,063 - mmdet - INFO - Epoch [12][850/7390] lr: 1.000e-04, eta: 0:56:28, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8372, losses_bboxes: 0.4709, loss: 9.3081 2022-11-03 03:06:42,654 - mmdet - INFO - Epoch [12][900/7390] lr: 1.000e-04, eta: 0:56:02, time: 0.512, data_time: 0.009, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4720, loss: 9.3040 2022-11-03 03:07:09,038 - mmdet - INFO - Epoch [12][950/7390] lr: 1.000e-04, eta: 0:55:36, time: 0.526, data_time: 0.008, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4727, loss: 9.3061 2022-11-03 03:07:34,978 - mmdet - INFO - Epoch [12][1000/7390] lr: 1.000e-04, eta: 0:55:10, time: 0.519, data_time: 0.010, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4736, loss: 9.3070 2022-11-03 03:08:01,040 - mmdet - INFO - Epoch [12][1050/7390] lr: 1.000e-04, eta: 0:54:44, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8376, losses_bboxes: 0.4734, loss: 9.3109 2022-11-03 03:08:26,974 - mmdet - INFO - Epoch [12][1100/7390] lr: 1.000e-04, eta: 0:54:18, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4711, loss: 9.3041 2022-11-03 03:08:52,388 - mmdet - INFO - Epoch [12][1150/7390] lr: 1.000e-04, eta: 0:53:52, time: 0.508, data_time: 0.008, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4720, loss: 9.3040 2022-11-03 03:09:18,469 - mmdet - INFO - Epoch [12][1200/7390] lr: 1.000e-04, eta: 0:53:26, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4717, loss: 9.3042 2022-11-03 03:09:44,117 - mmdet - INFO - Epoch [12][1250/7390] lr: 1.000e-04, eta: 0:53:01, time: 0.513, data_time: 0.008, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4717, loss: 9.3076 2022-11-03 03:10:10,383 - mmdet - INFO - Epoch [12][1300/7390] lr: 1.000e-04, eta: 0:52:35, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4753, loss: 9.3080 2022-11-03 03:10:36,206 - mmdet - INFO - Epoch [12][1350/7390] lr: 1.000e-04, eta: 0:52:09, time: 0.515, data_time: 0.007, memory: 43488, loss_cls: 8.8373, losses_bboxes: 0.4721, loss: 9.3095 2022-11-03 03:11:01,742 - mmdet - INFO - Epoch [12][1400/7390] lr: 1.000e-04, eta: 0:51:43, time: 0.510, data_time: 0.009, memory: 43488, loss_cls: 8.8308, losses_bboxes: 0.4716, loss: 9.3024 2022-11-03 03:11:27,699 - mmdet - INFO - Epoch [12][1450/7390] lr: 1.000e-04, eta: 0:51:17, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8346, losses_bboxes: 0.4729, loss: 9.3075 2022-11-03 03:11:54,098 - mmdet - INFO - Epoch [12][1500/7390] lr: 1.000e-04, eta: 0:50:51, time: 0.525, data_time: 0.008, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4726, loss: 9.3070 2022-11-03 03:12:19,869 - mmdet - INFO - Epoch [12][1550/7390] lr: 1.000e-04, eta: 0:50:25, time: 0.519, data_time: 0.011, memory: 43488, loss_cls: 8.8318, losses_bboxes: 0.4716, loss: 9.3034 2022-11-03 03:12:46,126 - mmdet - INFO - Epoch [12][1600/7390] lr: 1.000e-04, eta: 0:49:59, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8358, losses_bboxes: 0.4750, loss: 9.3107 2022-11-03 03:13:12,130 - mmdet - INFO - Epoch [12][1650/7390] lr: 1.000e-04, eta: 0:49:33, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8361, losses_bboxes: 0.4726, loss: 9.3087 2022-11-03 03:13:37,849 - mmdet - INFO - Epoch [12][1700/7390] lr: 1.000e-04, eta: 0:49:07, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8371, losses_bboxes: 0.4735, loss: 9.3106 2022-11-03 03:14:03,398 - mmdet - INFO - Epoch [12][1750/7390] lr: 1.000e-04, eta: 0:48:41, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4742, loss: 9.3099 2022-11-03 03:14:29,538 - mmdet - INFO - Epoch [12][1800/7390] lr: 1.000e-04, eta: 0:48:16, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4727, loss: 9.3067 2022-11-03 03:14:55,331 - mmdet - INFO - Epoch [12][1850/7390] lr: 1.000e-04, eta: 0:47:50, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4729, loss: 9.3069 2022-11-03 03:15:21,052 - mmdet - INFO - Epoch [12][1900/7390] lr: 1.000e-04, eta: 0:47:24, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4711, loss: 9.3042 2022-11-03 03:15:46,488 - mmdet - INFO - Epoch [12][1950/7390] lr: 1.000e-04, eta: 0:46:58, time: 0.508, data_time: 0.008, memory: 43488, loss_cls: 8.8331, losses_bboxes: 0.4711, loss: 9.3042 2022-11-03 03:16:12,236 - mmdet - INFO - Epoch [12][2000/7390] lr: 1.000e-04, eta: 0:46:32, time: 0.514, data_time: 0.009, memory: 43488, loss_cls: 8.8363, losses_bboxes: 0.4712, loss: 9.3075 2022-11-03 03:16:37,756 - mmdet - INFO - Epoch [12][2050/7390] lr: 1.000e-04, eta: 0:46:06, time: 0.512, data_time: 0.009, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4713, loss: 9.3048 2022-11-03 03:17:03,481 - mmdet - INFO - Epoch [12][2100/7390] lr: 1.000e-04, eta: 0:45:40, time: 0.513, data_time: 0.007, memory: 43488, loss_cls: 8.8360, losses_bboxes: 0.4723, loss: 9.3083 2022-11-03 03:17:29,775 - mmdet - INFO - Epoch [12][2150/7390] lr: 1.000e-04, eta: 0:45:14, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8355, losses_bboxes: 0.4726, loss: 9.3081 2022-11-03 03:17:55,834 - mmdet - INFO - Epoch [12][2200/7390] lr: 1.000e-04, eta: 0:44:48, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4730, loss: 9.3064 2022-11-03 03:18:21,802 - mmdet - INFO - Epoch [12][2250/7390] lr: 1.000e-04, eta: 0:44:22, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8308, losses_bboxes: 0.4742, loss: 9.3050 2022-11-03 03:18:48,220 - mmdet - INFO - Epoch [12][2300/7390] lr: 1.000e-04, eta: 0:43:57, time: 0.528, data_time: 0.008, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4745, loss: 9.3092 2022-11-03 03:19:14,651 - mmdet - INFO - Epoch [12][2350/7390] lr: 1.000e-04, eta: 0:43:31, time: 0.528, data_time: 0.009, memory: 43488, loss_cls: 8.8324, losses_bboxes: 0.4726, loss: 9.3050 2022-11-03 03:19:40,423 - mmdet - INFO - Epoch [12][2400/7390] lr: 1.000e-04, eta: 0:43:05, time: 0.517, data_time: 0.009, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4719, loss: 9.3045 2022-11-03 03:20:05,956 - mmdet - INFO - Epoch [12][2450/7390] lr: 1.000e-04, eta: 0:42:39, time: 0.511, data_time: 0.008, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4726, loss: 9.3052 2022-11-03 03:20:31,796 - mmdet - INFO - Epoch [12][2500/7390] lr: 1.000e-04, eta: 0:42:13, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8344, losses_bboxes: 0.4713, loss: 9.3057 2022-11-03 03:20:57,506 - mmdet - INFO - Epoch [12][2550/7390] lr: 1.000e-04, eta: 0:41:47, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8335, losses_bboxes: 0.4696, loss: 9.3030 2022-11-03 03:21:23,317 - mmdet - INFO - Epoch [12][2600/7390] lr: 1.000e-04, eta: 0:41:21, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4714, loss: 9.3073 2022-11-03 03:21:49,677 - mmdet - INFO - Epoch [12][2650/7390] lr: 1.000e-04, eta: 0:40:55, time: 0.528, data_time: 0.008, memory: 43488, loss_cls: 8.8364, losses_bboxes: 0.4739, loss: 9.3103 2022-11-03 03:22:15,513 - mmdet - INFO - Epoch [12][2700/7390] lr: 1.000e-04, eta: 0:40:29, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8362, losses_bboxes: 0.4722, loss: 9.3084 2022-11-03 03:22:41,522 - mmdet - INFO - Epoch [12][2750/7390] lr: 1.000e-04, eta: 0:40:03, time: 0.520, data_time: 0.010, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4731, loss: 9.3058 2022-11-03 03:23:07,402 - mmdet - INFO - Epoch [12][2800/7390] lr: 1.000e-04, eta: 0:39:37, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8318, losses_bboxes: 0.4731, loss: 9.3049 2022-11-03 03:23:33,435 - mmdet - INFO - Epoch [12][2850/7390] lr: 1.000e-04, eta: 0:39:12, time: 0.521, data_time: 0.009, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4742, loss: 9.3085 2022-11-03 03:23:59,596 - mmdet - INFO - Epoch [12][2900/7390] lr: 1.000e-04, eta: 0:38:46, time: 0.523, data_time: 0.008, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4719, loss: 9.3064 2022-11-03 03:24:25,284 - mmdet - INFO - Epoch [12][2950/7390] lr: 1.000e-04, eta: 0:38:20, time: 0.514, data_time: 0.009, memory: 43488, loss_cls: 8.8364, losses_bboxes: 0.4713, loss: 9.3076 2022-11-03 03:24:51,304 - mmdet - INFO - Epoch [12][3000/7390] lr: 1.000e-04, eta: 0:37:54, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8304, losses_bboxes: 0.4720, loss: 9.3024 2022-11-03 03:25:17,762 - mmdet - INFO - Epoch [12][3050/7390] lr: 1.000e-04, eta: 0:37:28, time: 0.530, data_time: 0.009, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4724, loss: 9.3072 2022-11-03 03:25:44,163 - mmdet - INFO - Epoch [12][3100/7390] lr: 1.000e-04, eta: 0:37:02, time: 0.527, data_time: 0.008, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4740, loss: 9.3062 2022-11-03 03:26:10,325 - mmdet - INFO - Epoch [12][3150/7390] lr: 1.000e-04, eta: 0:36:36, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4729, loss: 9.3071 2022-11-03 03:26:36,574 - mmdet - INFO - Epoch [12][3200/7390] lr: 1.000e-04, eta: 0:36:10, time: 0.527, data_time: 0.009, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4743, loss: 9.3082 2022-11-03 03:27:02,478 - mmdet - INFO - Epoch [12][3250/7390] lr: 1.000e-04, eta: 0:35:44, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4729, loss: 9.3088 2022-11-03 03:27:28,734 - mmdet - INFO - Epoch [12][3300/7390] lr: 1.000e-04, eta: 0:35:19, time: 0.525, data_time: 0.008, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4715, loss: 9.3074 2022-11-03 03:27:54,743 - mmdet - INFO - Epoch [12][3350/7390] lr: 1.000e-04, eta: 0:34:53, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4728, loss: 9.3081 2022-11-03 03:28:20,895 - mmdet - INFO - Epoch [12][3400/7390] lr: 1.000e-04, eta: 0:34:27, time: 0.523, data_time: 0.010, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4735, loss: 9.3083 2022-11-03 03:28:46,719 - mmdet - INFO - Epoch [12][3450/7390] lr: 1.000e-04, eta: 0:34:01, time: 0.517, data_time: 0.010, memory: 43488, loss_cls: 8.8343, losses_bboxes: 0.4724, loss: 9.3067 2022-11-03 03:29:12,624 - mmdet - INFO - Epoch [12][3500/7390] lr: 1.000e-04, eta: 0:33:35, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4722, loss: 9.3054 2022-11-03 03:29:38,645 - mmdet - INFO - Epoch [12][3550/7390] lr: 1.000e-04, eta: 0:33:09, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4718, loss: 9.3044 2022-11-03 03:30:04,520 - mmdet - INFO - Epoch [12][3600/7390] lr: 1.000e-04, eta: 0:32:43, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4703, loss: 9.3028 2022-11-03 03:30:30,390 - mmdet - INFO - Epoch [12][3650/7390] lr: 1.000e-04, eta: 0:32:17, time: 0.516, data_time: 0.008, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4716, loss: 9.3049 2022-11-03 03:30:56,282 - mmdet - INFO - Epoch [12][3700/7390] lr: 1.000e-04, eta: 0:31:51, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8354, losses_bboxes: 0.4727, loss: 9.3081 2022-11-03 03:31:22,515 - mmdet - INFO - Epoch [12][3750/7390] lr: 1.000e-04, eta: 0:31:25, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4737, loss: 9.3078 2022-11-03 03:31:48,525 - mmdet - INFO - Epoch [12][3800/7390] lr: 1.000e-04, eta: 0:31:00, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4719, loss: 9.3059 2022-11-03 03:32:14,420 - mmdet - INFO - Epoch [12][3850/7390] lr: 1.000e-04, eta: 0:30:34, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4720, loss: 9.3062 2022-11-03 03:32:40,349 - mmdet - INFO - Epoch [12][3900/7390] lr: 1.000e-04, eta: 0:30:08, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8363, losses_bboxes: 0.4717, loss: 9.3080 2022-11-03 03:33:06,596 - mmdet - INFO - Epoch [12][3950/7390] lr: 1.000e-04, eta: 0:29:42, time: 0.526, data_time: 0.009, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4745, loss: 9.3093 2022-11-03 03:33:32,254 - mmdet - INFO - Epoch [12][4000/7390] lr: 1.000e-04, eta: 0:29:16, time: 0.512, data_time: 0.008, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4702, loss: 9.3022 2022-11-03 03:33:58,041 - mmdet - INFO - Epoch [12][4050/7390] lr: 1.000e-04, eta: 0:28:50, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4734, loss: 9.3064 2022-11-03 03:34:23,446 - mmdet - INFO - Epoch [12][4100/7390] lr: 1.000e-04, eta: 0:28:24, time: 0.507, data_time: 0.008, memory: 43488, loss_cls: 8.8369, losses_bboxes: 0.4739, loss: 9.3107 2022-11-03 03:34:49,028 - mmdet - INFO - Epoch [12][4150/7390] lr: 1.000e-04, eta: 0:27:58, time: 0.513, data_time: 0.009, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4738, loss: 9.3079 2022-11-03 03:35:14,851 - mmdet - INFO - Epoch [12][4200/7390] lr: 1.000e-04, eta: 0:27:32, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4724, loss: 9.3060 2022-11-03 03:35:40,897 - mmdet - INFO - Epoch [12][4250/7390] lr: 1.000e-04, eta: 0:27:06, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8333, losses_bboxes: 0.4706, loss: 9.3039 2022-11-03 03:36:07,031 - mmdet - INFO - Epoch [12][4300/7390] lr: 1.000e-04, eta: 0:26:40, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4715, loss: 9.3055 2022-11-03 03:36:32,485 - mmdet - INFO - Epoch [12][4350/7390] lr: 1.000e-04, eta: 0:26:15, time: 0.508, data_time: 0.009, memory: 43488, loss_cls: 8.8336, losses_bboxes: 0.4720, loss: 9.3056 2022-11-03 03:36:58,335 - mmdet - INFO - Epoch [12][4400/7390] lr: 1.000e-04, eta: 0:25:49, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8360, losses_bboxes: 0.4720, loss: 9.3080 2022-11-03 03:37:24,363 - mmdet - INFO - Epoch [12][4450/7390] lr: 1.000e-04, eta: 0:25:23, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8314, losses_bboxes: 0.4718, loss: 9.3032 2022-11-03 03:37:50,469 - mmdet - INFO - Epoch [12][4500/7390] lr: 1.000e-04, eta: 0:24:57, time: 0.524, data_time: 0.010, memory: 43488, loss_cls: 8.8352, losses_bboxes: 0.4714, loss: 9.3066 2022-11-03 03:38:16,258 - mmdet - INFO - Epoch [12][4550/7390] lr: 1.000e-04, eta: 0:24:31, time: 0.515, data_time: 0.008, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4704, loss: 9.3030 2022-11-03 03:38:43,017 - mmdet - INFO - Epoch [12][4600/7390] lr: 1.000e-04, eta: 0:24:05, time: 0.534, data_time: 0.008, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4719, loss: 9.3044 2022-11-03 03:39:09,062 - mmdet - INFO - Epoch [12][4650/7390] lr: 1.000e-04, eta: 0:23:39, time: 0.523, data_time: 0.009, memory: 43488, loss_cls: 8.8357, losses_bboxes: 0.4713, loss: 9.3070 2022-11-03 03:39:35,018 - mmdet - INFO - Epoch [12][4700/7390] lr: 1.000e-04, eta: 0:23:13, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4719, loss: 9.3069 2022-11-03 03:40:00,800 - mmdet - INFO - Epoch [12][4750/7390] lr: 1.000e-04, eta: 0:22:47, time: 0.516, data_time: 0.010, memory: 43488, loss_cls: 8.8327, losses_bboxes: 0.4732, loss: 9.3059 2022-11-03 03:40:26,515 - mmdet - INFO - Epoch [12][4800/7390] lr: 1.000e-04, eta: 0:22:21, time: 0.516, data_time: 0.009, memory: 43488, loss_cls: 8.8367, losses_bboxes: 0.4728, loss: 9.3095 2022-11-03 03:40:52,710 - mmdet - INFO - Epoch [12][4850/7390] lr: 1.000e-04, eta: 0:21:56, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8321, losses_bboxes: 0.4728, loss: 9.3049 2022-11-03 03:41:20,797 - mmdet - INFO - Epoch [12][4900/7390] lr: 1.000e-04, eta: 0:21:30, time: 0.560, data_time: 0.008, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4722, loss: 9.3042 2022-11-03 03:41:46,726 - mmdet - INFO - Epoch [12][4950/7390] lr: 1.000e-04, eta: 0:21:04, time: 0.519, data_time: 0.010, memory: 43488, loss_cls: 8.8339, losses_bboxes: 0.4709, loss: 9.3048 2022-11-03 03:42:14,669 - mmdet - INFO - Epoch [12][5000/7390] lr: 1.000e-04, eta: 0:20:38, time: 0.561, data_time: 0.010, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4702, loss: 9.3051 2022-11-03 03:42:40,803 - mmdet - INFO - Epoch [12][5050/7390] lr: 1.000e-04, eta: 0:20:12, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8337, losses_bboxes: 0.4713, loss: 9.3050 2022-11-03 03:43:06,487 - mmdet - INFO - Epoch [12][5100/7390] lr: 1.000e-04, eta: 0:19:46, time: 0.514, data_time: 0.009, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4709, loss: 9.3057 2022-11-03 03:43:32,162 - mmdet - INFO - Epoch [12][5150/7390] lr: 1.000e-04, eta: 0:19:20, time: 0.513, data_time: 0.008, memory: 43488, loss_cls: 8.8340, losses_bboxes: 0.4739, loss: 9.3079 2022-11-03 03:43:58,200 - mmdet - INFO - Epoch [12][5200/7390] lr: 1.000e-04, eta: 0:18:54, time: 0.520, data_time: 0.008, memory: 43488, loss_cls: 8.8378, losses_bboxes: 0.4726, loss: 9.3104 2022-11-03 03:44:24,437 - mmdet - INFO - Epoch [12][5250/7390] lr: 1.000e-04, eta: 0:18:28, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8352, losses_bboxes: 0.4719, loss: 9.3071 2022-11-03 03:44:53,085 - mmdet - INFO - Epoch [12][5300/7390] lr: 1.000e-04, eta: 0:18:03, time: 0.573, data_time: 0.009, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4718, loss: 9.3075 2022-11-03 03:45:19,382 - mmdet - INFO - Epoch [12][5350/7390] lr: 1.000e-04, eta: 0:17:37, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8320, losses_bboxes: 0.4734, loss: 9.3054 2022-11-03 03:45:45,203 - mmdet - INFO - Epoch [12][5400/7390] lr: 1.000e-04, eta: 0:17:11, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8332, losses_bboxes: 0.4722, loss: 9.3054 2022-11-03 03:46:13,562 - mmdet - INFO - Epoch [12][5450/7390] lr: 1.000e-04, eta: 0:16:45, time: 0.564, data_time: 0.008, memory: 43488, loss_cls: 8.8338, losses_bboxes: 0.4724, loss: 9.3063 2022-11-03 03:46:39,874 - mmdet - INFO - Epoch [12][5500/7390] lr: 1.000e-04, eta: 0:16:19, time: 0.528, data_time: 0.010, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4726, loss: 9.3085 2022-11-03 03:47:06,104 - mmdet - INFO - Epoch [12][5550/7390] lr: 1.000e-04, eta: 0:15:53, time: 0.525, data_time: 0.009, memory: 43488, loss_cls: 8.8354, losses_bboxes: 0.4728, loss: 9.3082 2022-11-03 03:47:34,543 - mmdet - INFO - Epoch [12][5600/7390] lr: 1.000e-04, eta: 0:15:27, time: 0.566, data_time: 0.008, memory: 43488, loss_cls: 8.8356, losses_bboxes: 0.4734, loss: 9.3090 2022-11-03 03:48:01,991 - mmdet - INFO - Epoch [12][5650/7390] lr: 1.000e-04, eta: 0:15:01, time: 0.550, data_time: 0.011, memory: 43488, loss_cls: 8.8330, losses_bboxes: 0.4732, loss: 9.3062 2022-11-03 03:48:27,901 - mmdet - INFO - Epoch [12][5700/7390] lr: 1.000e-04, eta: 0:14:35, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8334, losses_bboxes: 0.4735, loss: 9.3068 2022-11-03 03:48:53,638 - mmdet - INFO - Epoch [12][5750/7390] lr: 1.000e-04, eta: 0:14:09, time: 0.515, data_time: 0.009, memory: 43488, loss_cls: 8.8359, losses_bboxes: 0.4723, loss: 9.3081 2022-11-03 03:49:19,751 - mmdet - INFO - Epoch [12][5800/7390] lr: 1.000e-04, eta: 0:13:44, time: 0.522, data_time: 0.008, memory: 43488, loss_cls: 8.8342, losses_bboxes: 0.4712, loss: 9.3054 2022-11-03 03:49:45,465 - mmdet - INFO - Epoch [12][5850/7390] lr: 1.000e-04, eta: 0:13:18, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8360, losses_bboxes: 0.4739, loss: 9.3099 2022-11-03 03:50:14,003 - mmdet - INFO - Epoch [12][5900/7390] lr: 1.000e-04, eta: 0:12:52, time: 0.569, data_time: 0.008, memory: 43488, loss_cls: 8.8360, losses_bboxes: 0.4711, loss: 9.3070 2022-11-03 03:50:40,311 - mmdet - INFO - Epoch [12][5950/7390] lr: 1.000e-04, eta: 0:12:26, time: 0.529, data_time: 0.010, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4746, loss: 9.3095 2022-11-03 03:51:08,910 - mmdet - INFO - Epoch [12][6000/7390] lr: 1.000e-04, eta: 0:12:00, time: 0.571, data_time: 0.007, memory: 43488, loss_cls: 8.8345, losses_bboxes: 0.4744, loss: 9.3089 2022-11-03 03:51:34,545 - mmdet - INFO - Epoch [12][6050/7390] lr: 1.000e-04, eta: 0:11:34, time: 0.513, data_time: 0.009, memory: 43488, loss_cls: 8.8361, losses_bboxes: 0.4711, loss: 9.3072 2022-11-03 03:52:00,134 - mmdet - INFO - Epoch [12][6100/7390] lr: 1.000e-04, eta: 0:11:08, time: 0.510, data_time: 0.008, memory: 43488, loss_cls: 8.8328, losses_bboxes: 0.4709, loss: 9.3037 2022-11-03 03:52:26,295 - mmdet - INFO - Epoch [12][6150/7390] lr: 1.000e-04, eta: 0:10:42, time: 0.524, data_time: 0.009, memory: 43488, loss_cls: 8.8371, losses_bboxes: 0.4737, loss: 9.3108 2022-11-03 03:52:51,982 - mmdet - INFO - Epoch [12][6200/7390] lr: 1.000e-04, eta: 0:10:16, time: 0.514, data_time: 0.009, memory: 43488, loss_cls: 8.8376, losses_bboxes: 0.4716, loss: 9.3092 2022-11-03 03:53:17,664 - mmdet - INFO - Epoch [12][6250/7390] lr: 1.000e-04, eta: 0:09:50, time: 0.514, data_time: 0.008, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4711, loss: 9.3033 2022-11-03 03:53:43,738 - mmdet - INFO - Epoch [12][6300/7390] lr: 1.000e-04, eta: 0:09:24, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4711, loss: 9.3037 2022-11-03 03:54:09,327 - mmdet - INFO - Epoch [12][6350/7390] lr: 1.000e-04, eta: 0:08:59, time: 0.513, data_time: 0.008, memory: 43488, loss_cls: 8.8354, losses_bboxes: 0.4716, loss: 9.3071 2022-11-03 03:54:35,365 - mmdet - INFO - Epoch [12][6400/7390] lr: 1.000e-04, eta: 0:08:33, time: 0.519, data_time: 0.008, memory: 43488, loss_cls: 8.8390, losses_bboxes: 0.4727, loss: 9.3118 2022-11-03 03:55:01,296 - mmdet - INFO - Epoch [12][6450/7390] lr: 1.000e-04, eta: 0:08:07, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8348, losses_bboxes: 0.4713, loss: 9.3062 2022-11-03 03:55:27,270 - mmdet - INFO - Epoch [12][6500/7390] lr: 1.000e-04, eta: 0:07:41, time: 0.518, data_time: 0.009, memory: 43488, loss_cls: 8.8310, losses_bboxes: 0.4713, loss: 9.3023 2022-11-03 03:55:53,482 - mmdet - INFO - Epoch [12][6550/7390] lr: 1.000e-04, eta: 0:07:15, time: 0.526, data_time: 0.010, memory: 43488, loss_cls: 8.8322, losses_bboxes: 0.4733, loss: 9.3055 2022-11-03 03:56:19,298 - mmdet - INFO - Epoch [12][6600/7390] lr: 1.000e-04, eta: 0:06:49, time: 0.517, data_time: 0.008, memory: 43488, loss_cls: 8.8353, losses_bboxes: 0.4731, loss: 9.3084 2022-11-03 03:56:45,591 - mmdet - INFO - Epoch [12][6650/7390] lr: 1.000e-04, eta: 0:06:23, time: 0.524, data_time: 0.008, memory: 43488, loss_cls: 8.8319, losses_bboxes: 0.4724, loss: 9.3042 2022-11-03 03:57:11,832 - mmdet - INFO - Epoch [12][6700/7390] lr: 1.000e-04, eta: 0:05:57, time: 0.524, data_time: 0.009, memory: 43488, loss_cls: 8.8326, losses_bboxes: 0.4724, loss: 9.3050 2022-11-03 03:57:37,625 - mmdet - INFO - Epoch [12][6750/7390] lr: 1.000e-04, eta: 0:05:31, time: 0.515, data_time: 0.010, memory: 43488, loss_cls: 8.8349, losses_bboxes: 0.4723, loss: 9.3073 2022-11-03 03:58:03,623 - mmdet - INFO - Epoch [12][6800/7390] lr: 1.000e-04, eta: 0:05:05, time: 0.522, data_time: 0.010, memory: 43488, loss_cls: 8.8347, losses_bboxes: 0.4731, loss: 9.3078 2022-11-03 03:58:29,316 - mmdet - INFO - Epoch [12][6850/7390] lr: 1.000e-04, eta: 0:04:39, time: 0.513, data_time: 0.008, memory: 43488, loss_cls: 8.8411, losses_bboxes: 0.4727, loss: 9.3138 2022-11-03 03:58:55,213 - mmdet - INFO - Epoch [12][6900/7390] lr: 1.000e-04, eta: 0:04:13, time: 0.519, data_time: 0.009, memory: 43488, loss_cls: 8.8354, losses_bboxes: 0.4724, loss: 9.3078 2022-11-03 03:59:21,338 - mmdet - INFO - Epoch [12][6950/7390] lr: 1.000e-04, eta: 0:03:48, time: 0.521, data_time: 0.008, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4737, loss: 9.3062 2022-11-03 03:59:47,415 - mmdet - INFO - Epoch [12][7000/7390] lr: 1.000e-04, eta: 0:03:22, time: 0.520, data_time: 0.009, memory: 43488, loss_cls: 8.8351, losses_bboxes: 0.4717, loss: 9.3067 2022-11-03 04:00:13,398 - mmdet - INFO - Epoch [12][7050/7390] lr: 1.000e-04, eta: 0:02:56, time: 0.521, data_time: 0.010, memory: 43488, loss_cls: 8.8325, losses_bboxes: 0.4705, loss: 9.3030 2022-11-03 04:00:39,344 - mmdet - INFO - Epoch [12][7100/7390] lr: 1.000e-04, eta: 0:02:30, time: 0.518, data_time: 0.008, memory: 43488, loss_cls: 8.8382, losses_bboxes: 0.4727, loss: 9.3109 2022-11-03 04:01:05,497 - mmdet - INFO - Epoch [12][7150/7390] lr: 1.000e-04, eta: 0:02:04, time: 0.523, data_time: 0.010, memory: 43488, loss_cls: 8.8363, losses_bboxes: 0.4725, loss: 9.3087 2022-11-03 04:01:31,056 - mmdet - INFO - Epoch [12][7200/7390] lr: 1.000e-04, eta: 0:01:38, time: 0.513, data_time: 0.009, memory: 43488, loss_cls: 8.8335, losses_bboxes: 0.4736, loss: 9.3071 2022-11-03 04:01:57,000 - mmdet - INFO - Epoch [12][7250/7390] lr: 1.000e-04, eta: 0:01:12, time: 0.516, data_time: 0.007, memory: 43488, loss_cls: 8.8362, losses_bboxes: 0.4731, loss: 9.3094 2022-11-03 04:02:22,869 - mmdet - INFO - Epoch [12][7300/7390] lr: 1.000e-04, eta: 0:00:46, time: 0.520, data_time: 0.010, memory: 43488, loss_cls: 8.8324, losses_bboxes: 0.4712, loss: 9.3036 2022-11-03 04:02:48,995 - mmdet - INFO - Epoch [12][7350/7390] lr: 1.000e-04, eta: 0:00:20, time: 0.521, data_time: 0.007, memory: 43488, loss_cls: 8.8306, losses_bboxes: 0.4719, loss: 9.3025 2022-11-03 04:03:10,062 - mmdet - INFO - Saving checkpoint at 12 epochs