2022-11-02 16:55:43,217 - 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+83815b2 ------------------------------------------------------------ 2022-11-02 16:55:45,054 - mmdet - INFO - Distributed training: True 2022-11-02 16:55:46,853 - 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/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_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_pixpro' auto_resume = False gpu_ids = range(0, 8) 2022-11-02 16:55:46,854 - mmdet - INFO - Set random seed to 42, deterministic: False 2022-11-02 16:55:47,487 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth'} 2022-11-02 16:55:47,631 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2022-11-02 16:55:47,675 - mmdet - INFO - initialize SelfSupRetinaHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01, 'override': None} 2022-11-02 16:55:47,713 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth'} 2022-11-02 16:55:47,839 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2022-11-02 16:55:47,881 - 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/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.0.downsample.1.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.0.downsample.1.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.0.downsample.1.weight - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.0.downsample.1.bias - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth online_backbone.backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_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/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.0.downsample.1.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.0.downsample.1.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.0.downsample.1.weight - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.0.downsample.1.bias - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_in1k.pth target_backbone.backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from pretrain/dense-level/pixpro/pixpro_resnet50_8xb128-coslr-400e_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 16:56:12,297 - mmdet - INFO - Automatic scaling of learning rate (LR) has been disabled. 2022-11-02 16:56:12,779 - mmdet - INFO - Start running, host: tiger@n176-118-194, work_dir: /home/tiger/code/mmdet/work_dirs/selfsup_retinanet_1x_coco_pixpro 2022-11-02 16:56:12,779 - 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 16:56:12,780 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs 2022-11-02 16:56:12,780 - mmdet - INFO - Checkpoints will be saved to /home/tiger/code/mmdet/work_dirs/selfsup_retinanet_1x_coco_pixpro by HardDiskBackend. 2022-11-02 16:57:07,495 - mmdet - INFO - Epoch [1][50/7390] lr: 9.890e-04, eta: 1 day, 2:14:49, time: 1.066, data_time: 0.068, memory: 42608, loss_cls: 8.9855, losses_bboxes: 0.6557, loss: 9.6412 2022-11-02 16:57:47,265 - mmdet - INFO - Epoch [1][100/7390] lr: 1.988e-03, eta: 22:54:03, time: 0.795, data_time: 0.008, memory: 42608, loss_cls: 8.8476, losses_bboxes: 0.6265, loss: 9.4741 2022-11-02 16:58:25,943 - mmdet - INFO - Epoch [1][150/7390] lr: 2.987e-03, eta: 21:36:01, time: 0.774, data_time: 0.008, memory: 42608, loss_cls: 8.8381, losses_bboxes: 0.6066, loss: 9.4447 2022-11-02 16:59:04,298 - mmdet - INFO - Epoch [1][200/7390] lr: 3.986e-03, eta: 20:54:12, time: 0.767, data_time: 0.008, memory: 42608, loss_cls: 8.8305, losses_bboxes: 0.6035, loss: 9.4341 2022-11-02 16:59:43,256 - mmdet - INFO - Epoch [1][250/7390] lr: 4.985e-03, eta: 20:32:30, time: 0.779, data_time: 0.008, memory: 42608, loss_cls: 8.8295, losses_bboxes: 0.5997, loss: 9.4292 2022-11-02 17:00:20,939 - mmdet - INFO - Epoch [1][300/7390] lr: 5.984e-03, eta: 20:11:32, time: 0.754, data_time: 0.008, memory: 42608, loss_cls: 8.8277, losses_bboxes: 0.5974, loss: 9.4251 2022-11-02 17:00:59,937 - mmdet - INFO - Epoch [1][350/7390] lr: 6.983e-03, eta: 20:01:54, time: 0.780, data_time: 0.008, memory: 42608, loss_cls: 8.8210, losses_bboxes: 0.5949, loss: 9.4159 2022-11-02 17:01:38,646 - mmdet - INFO - Epoch [1][400/7390] lr: 7.982e-03, eta: 19:53:27, time: 0.774, data_time: 0.008, memory: 42608, loss_cls: 8.8181, losses_bboxes: 0.5840, loss: 9.4021 2022-11-02 17:02:17,615 - mmdet - INFO - Epoch [1][450/7390] lr: 8.981e-03, eta: 19:47:35, time: 0.779, data_time: 0.009, memory: 42687, loss_cls: 8.8122, losses_bboxes: 0.5705, loss: 9.3827 2022-11-02 17:02:56,876 - mmdet - INFO - Epoch [1][500/7390] lr: 9.980e-03, eta: 19:43:37, time: 0.785, data_time: 0.008, memory: 42687, loss_cls: 8.7983, losses_bboxes: 0.5564, loss: 9.3547 2022-11-02 17:03:35,809 - mmdet - INFO - Epoch [1][550/7390] lr: 1.000e-02, eta: 19:39:23, time: 0.779, data_time: 0.008, memory: 42687, loss_cls: 8.7815, losses_bboxes: 0.5523, loss: 9.3338 2022-11-02 17:04:14,657 - mmdet - INFO - Epoch [1][600/7390] lr: 1.000e-02, eta: 19:35:32, time: 0.777, data_time: 0.009, memory: 42687, loss_cls: 8.7667, losses_bboxes: 0.5438, loss: 9.3105 2022-11-02 17:04:53,668 - mmdet - INFO - Epoch [1][650/7390] lr: 1.000e-02, eta: 19:32:33, time: 0.780, data_time: 0.009, memory: 42687, loss_cls: 8.7426, losses_bboxes: 0.5398, loss: 9.2824 2022-11-02 17:05:32,992 - mmdet - INFO - Epoch [1][700/7390] lr: 1.000e-02, eta: 19:30:33, time: 0.786, data_time: 0.009, memory: 42687, loss_cls: 8.7103, losses_bboxes: 0.5358, loss: 9.2461 2022-11-02 17:06:11,741 - mmdet - INFO - Epoch [1][750/7390] lr: 1.000e-02, eta: 19:27:36, time: 0.775, data_time: 0.009, memory: 42687, loss_cls: 8.6774, losses_bboxes: 0.5320, loss: 9.2094 2022-11-02 17:06:50,225 - mmdet - INFO - Epoch [1][800/7390] lr: 1.000e-02, eta: 19:24:28, time: 0.770, data_time: 0.009, memory: 42687, loss_cls: 8.6348, losses_bboxes: 0.5300, loss: 9.1648 2022-11-02 17:07:29,118 - mmdet - INFO - Epoch [1][850/7390] lr: 1.000e-02, eta: 19:22:19, time: 0.778, data_time: 0.009, memory: 42687, loss_cls: 8.5989, losses_bboxes: 0.5254, loss: 9.1243 2022-11-02 17:08:08,059 - mmdet - INFO - Epoch [1][900/7390] lr: 1.000e-02, eta: 19:20:25, time: 0.779, data_time: 0.009, memory: 42687, loss_cls: 8.5555, losses_bboxes: 0.5242, loss: 9.0797 2022-11-02 17:08:45,868 - mmdet - INFO - Epoch [1][950/7390] lr: 1.000e-02, eta: 19:16:55, time: 0.756, data_time: 0.008, memory: 42687, loss_cls: 8.5139, losses_bboxes: 0.5228, loss: 9.0367 2022-11-02 17:09:24,682 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 17:09:24,683 - mmdet - INFO - Epoch [1][1000/7390] lr: 1.000e-02, eta: 19:15:10, time: 0.776, data_time: 0.009, memory: 42687, loss_cls: 8.4669, losses_bboxes: 0.5208, loss: 8.9877 2022-11-02 17:10:03,395 - mmdet - INFO - Epoch [1][1050/7390] lr: 1.000e-02, eta: 19:13:22, time: 0.774, data_time: 0.009, memory: 42687, loss_cls: 8.4341, losses_bboxes: 0.5196, loss: 8.9537 2022-11-02 17:10:41,345 - mmdet - INFO - Epoch [1][1100/7390] lr: 1.000e-02, eta: 19:10:40, time: 0.759, data_time: 0.009, memory: 42687, loss_cls: 8.4027, losses_bboxes: 0.5180, loss: 8.9207 2022-11-02 17:11:19,820 - mmdet - INFO - Epoch [1][1150/7390] lr: 1.000e-02, eta: 19:08:49, time: 0.769, data_time: 0.009, memory: 42687, loss_cls: 8.3605, losses_bboxes: 0.5183, loss: 8.8789 2022-11-02 17:11:58,119 - mmdet - INFO - Epoch [1][1200/7390] lr: 1.000e-02, eta: 19:06:51, time: 0.766, data_time: 0.009, memory: 42687, loss_cls: 8.3276, losses_bboxes: 0.5157, loss: 8.8433 2022-11-02 17:12:35,898 - mmdet - INFO - Epoch [1][1250/7390] lr: 1.000e-02, eta: 19:04:24, time: 0.756, data_time: 0.009, memory: 42687, loss_cls: 8.3104, losses_bboxes: 0.5157, loss: 8.8261 2022-11-02 17:13:14,600 - mmdet - INFO - Epoch [1][1300/7390] lr: 1.000e-02, eta: 19:03:06, time: 0.774, data_time: 0.008, memory: 42687, loss_cls: 8.2801, losses_bboxes: 0.5147, loss: 8.7948 2022-11-02 17:13:52,859 - mmdet - INFO - Epoch [1][1350/7390] lr: 1.000e-02, eta: 19:01:23, time: 0.765, data_time: 0.009, memory: 42687, loss_cls: 8.2555, losses_bboxes: 0.5125, loss: 8.7680 2022-11-02 17:14:31,446 - mmdet - INFO - Epoch [1][1400/7390] lr: 1.000e-02, eta: 19:00:05, time: 0.772, data_time: 0.008, memory: 42687, loss_cls: 8.2332, losses_bboxes: 0.5109, loss: 8.7442 2022-11-02 17:15:09,402 - mmdet - INFO - Epoch [1][1450/7390] lr: 1.000e-02, eta: 18:58:12, time: 0.759, data_time: 0.009, memory: 42687, loss_cls: 8.2124, losses_bboxes: 0.5112, loss: 8.7236 2022-11-02 17:15:48,268 - mmdet - INFO - Epoch [1][1500/7390] lr: 1.000e-02, eta: 18:57:17, time: 0.777, data_time: 0.009, memory: 42687, loss_cls: 8.1934, losses_bboxes: 0.5100, loss: 8.7033 2022-11-02 17:16:26,311 - mmdet - INFO - Epoch [1][1550/7390] lr: 1.000e-02, eta: 18:55:36, time: 0.761, data_time: 0.009, memory: 42687, loss_cls: 8.1850, losses_bboxes: 0.5102, loss: 8.6952 2022-11-02 17:17:04,754 - mmdet - INFO - Epoch [1][1600/7390] lr: 1.000e-02, eta: 18:54:21, time: 0.769, data_time: 0.009, memory: 42687, loss_cls: 8.1669, losses_bboxes: 0.5108, loss: 8.6776 2022-11-02 17:17:43,548 - mmdet - INFO - Epoch [1][1650/7390] lr: 1.000e-02, eta: 18:53:27, time: 0.776, data_time: 0.009, memory: 42687, loss_cls: 8.1597, losses_bboxes: 0.5084, loss: 8.6681 2022-11-02 17:18:21,763 - mmdet - INFO - Epoch [1][1700/7390] lr: 1.000e-02, eta: 18:52:04, time: 0.764, data_time: 0.009, memory: 42687, loss_cls: 8.1349, losses_bboxes: 0.5088, loss: 8.6437 2022-11-02 17:19:00,605 - mmdet - INFO - Epoch [1][1750/7390] lr: 1.000e-02, eta: 18:51:15, time: 0.777, data_time: 0.009, memory: 42687, loss_cls: 8.1264, losses_bboxes: 0.5068, loss: 8.6332 2022-11-02 17:19:38,714 - mmdet - INFO - Epoch [1][1800/7390] lr: 1.000e-02, eta: 18:49:51, time: 0.762, data_time: 0.009, memory: 42687, loss_cls: 8.1092, losses_bboxes: 0.5044, loss: 8.6136 2022-11-02 17:20:17,054 - mmdet - INFO - Epoch [1][1850/7390] lr: 1.000e-02, eta: 18:48:40, time: 0.767, data_time: 0.008, memory: 42687, loss_cls: 8.1017, losses_bboxes: 0.5059, loss: 8.6076 2022-11-02 17:20:55,451 - mmdet - INFO - Epoch [1][1900/7390] lr: 1.000e-02, eta: 18:47:34, time: 0.768, data_time: 0.009, memory: 42687, loss_cls: 8.0958, losses_bboxes: 0.5062, loss: 8.6020 2022-11-02 17:21:33,205 - mmdet - INFO - Epoch [1][1950/7390] lr: 1.000e-02, eta: 18:46:00, time: 0.755, data_time: 0.009, memory: 42687, loss_cls: 8.0863, losses_bboxes: 0.5049, loss: 8.5913 2022-11-02 17:22:11,897 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 17:22:11,898 - mmdet - INFO - Epoch [1][2000/7390] lr: 1.000e-02, eta: 18:45:10, time: 0.774, data_time: 0.008, memory: 42687, loss_cls: 8.0793, losses_bboxes: 0.5047, loss: 8.5840 2022-11-02 17:22:50,639 - mmdet - INFO - Epoch [1][2050/7390] lr: 1.000e-02, eta: 18:44:23, time: 0.775, data_time: 0.008, memory: 42687, loss_cls: 8.0736, losses_bboxes: 0.5049, loss: 8.5785 2022-11-02 17:23:29,444 - mmdet - INFO - Epoch [1][2100/7390] lr: 1.000e-02, eta: 18:43:38, time: 0.776, data_time: 0.009, memory: 42687, loss_cls: 8.0740, losses_bboxes: 0.5041, loss: 8.5781 2022-11-02 17:24:07,881 - mmdet - INFO - Epoch [1][2150/7390] lr: 1.000e-02, eta: 18:42:39, time: 0.769, data_time: 0.008, memory: 42772, loss_cls: 8.0559, losses_bboxes: 0.5037, loss: 8.5596 2022-11-02 17:24:46,996 - mmdet - INFO - Epoch [1][2200/7390] lr: 1.000e-02, eta: 18:42:08, time: 0.782, data_time: 0.009, memory: 42772, loss_cls: 8.0580, losses_bboxes: 0.5022, loss: 8.5602 2022-11-02 17:25:25,802 - mmdet - INFO - Epoch [1][2250/7390] lr: 1.000e-02, eta: 18:41:24, time: 0.776, data_time: 0.008, memory: 42772, loss_cls: 8.0491, losses_bboxes: 0.5043, loss: 8.5533 2022-11-02 17:26:04,350 - mmdet - INFO - Epoch [1][2300/7390] lr: 1.000e-02, eta: 18:40:31, time: 0.771, data_time: 0.009, memory: 42772, loss_cls: 8.0496, losses_bboxes: 0.5029, loss: 8.5525 2022-11-02 17:26:43,042 - mmdet - INFO - Epoch [1][2350/7390] lr: 1.000e-02, eta: 18:39:44, time: 0.774, data_time: 0.009, memory: 42827, loss_cls: 8.0429, losses_bboxes: 0.5024, loss: 8.5453 2022-11-02 17:27:21,650 - mmdet - INFO - Epoch [1][2400/7390] lr: 1.000e-02, eta: 18:38:54, time: 0.772, data_time: 0.009, memory: 42827, loss_cls: 8.0347, losses_bboxes: 0.5012, loss: 8.5359 2022-11-02 17:28:00,274 - mmdet - INFO - Epoch [1][2450/7390] lr: 1.000e-02, eta: 18:38:05, time: 0.772, data_time: 0.009, memory: 42827, loss_cls: 8.0383, losses_bboxes: 0.5012, loss: 8.5395 2022-11-02 17:28:37,843 - mmdet - INFO - Epoch [1][2500/7390] lr: 1.000e-02, eta: 18:36:41, time: 0.751, data_time: 0.008, memory: 42827, loss_cls: 8.0330, losses_bboxes: 0.5005, loss: 8.5334 2022-11-02 17:29:16,381 - mmdet - INFO - Epoch [1][2550/7390] lr: 1.000e-02, eta: 18:35:51, time: 0.771, data_time: 0.008, memory: 42827, loss_cls: 8.0378, losses_bboxes: 0.4997, loss: 8.5375 2022-11-02 17:29:55,022 - mmdet - INFO - Epoch [1][2600/7390] lr: 1.000e-02, eta: 18:35:04, time: 0.773, data_time: 0.009, memory: 42827, loss_cls: 8.0268, losses_bboxes: 0.4998, loss: 8.5266 2022-11-02 17:30:33,609 - mmdet - INFO - Epoch [1][2650/7390] lr: 1.000e-02, eta: 18:34:16, time: 0.772, data_time: 0.008, memory: 42827, loss_cls: 8.0247, losses_bboxes: 0.4989, loss: 8.5237 2022-11-02 17:31:12,093 - mmdet - INFO - Epoch [1][2700/7390] lr: 1.000e-02, eta: 18:33:26, time: 0.770, data_time: 0.009, memory: 42827, loss_cls: 8.0248, losses_bboxes: 0.4990, loss: 8.5237 2022-11-02 17:31:50,679 - mmdet - INFO - Epoch [1][2750/7390] lr: 1.000e-02, eta: 18:32:39, time: 0.772, data_time: 0.009, memory: 42827, loss_cls: 8.0254, losses_bboxes: 0.4984, loss: 8.5238 2022-11-02 17:32:29,610 - mmdet - INFO - Epoch [1][2800/7390] lr: 1.000e-02, eta: 18:32:02, time: 0.779, data_time: 0.008, memory: 42827, loss_cls: 8.0246, losses_bboxes: 0.4989, loss: 8.5235 2022-11-02 17:33:07,653 - mmdet - INFO - Epoch [1][2850/7390] lr: 1.000e-02, eta: 18:30:59, time: 0.761, data_time: 0.008, memory: 42827, loss_cls: 8.0132, losses_bboxes: 0.4980, loss: 8.5112 2022-11-02 17:33:46,617 - mmdet - INFO - Epoch [1][2900/7390] lr: 1.000e-02, eta: 18:30:24, time: 0.779, data_time: 0.008, memory: 42827, loss_cls: 8.0104, losses_bboxes: 0.4977, loss: 8.5082 2022-11-02 17:34:24,769 - mmdet - INFO - Epoch [1][2950/7390] lr: 1.000e-02, eta: 18:29:26, time: 0.763, data_time: 0.009, memory: 42827, loss_cls: 8.0216, losses_bboxes: 0.4954, loss: 8.5171 2022-11-02 17:35:03,102 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 17:35:03,103 - mmdet - INFO - Epoch [1][3000/7390] lr: 1.000e-02, eta: 18:28:33, time: 0.767, data_time: 0.009, memory: 42827, loss_cls: 8.0114, losses_bboxes: 0.4969, loss: 8.5083 2022-11-02 17:35:41,554 - mmdet - INFO - Epoch [1][3050/7390] lr: 1.000e-02, eta: 18:27:44, time: 0.769, data_time: 0.009, memory: 42827, loss_cls: 8.0169, losses_bboxes: 0.4966, loss: 8.5135 2022-11-02 17:36:20,570 - mmdet - INFO - Epoch [1][3100/7390] lr: 1.000e-02, eta: 18:27:11, time: 0.780, data_time: 0.009, memory: 42827, loss_cls: 8.0183, losses_bboxes: 0.4962, loss: 8.5145 2022-11-02 17:36:59,492 - mmdet - INFO - Epoch [1][3150/7390] lr: 1.000e-02, eta: 18:26:35, time: 0.778, data_time: 0.009, memory: 42827, loss_cls: 8.0050, losses_bboxes: 0.4975, loss: 8.5025 2022-11-02 17:37:37,860 - mmdet - INFO - Epoch [1][3200/7390] lr: 1.000e-02, eta: 18:25:44, time: 0.767, data_time: 0.009, memory: 42827, loss_cls: 8.0036, losses_bboxes: 0.4970, loss: 8.5006 2022-11-02 17:38:16,114 - mmdet - INFO - Epoch [1][3250/7390] lr: 1.000e-02, eta: 18:24:51, time: 0.765, data_time: 0.009, memory: 42827, loss_cls: 8.0084, losses_bboxes: 0.4962, loss: 8.5046 2022-11-02 17:38:54,487 - mmdet - INFO - Epoch [1][3300/7390] lr: 1.000e-02, eta: 18:24:01, time: 0.767, data_time: 0.009, memory: 42827, loss_cls: 7.9960, losses_bboxes: 0.4954, loss: 8.4914 2022-11-02 17:39:32,740 - mmdet - INFO - Epoch [1][3350/7390] lr: 1.000e-02, eta: 18:23:08, time: 0.765, data_time: 0.009, memory: 42827, loss_cls: 8.0026, losses_bboxes: 0.4956, loss: 8.4982 2022-11-02 17:40:10,864 - mmdet - INFO - Epoch [1][3400/7390] lr: 1.000e-02, eta: 18:22:13, time: 0.762, data_time: 0.009, memory: 42827, loss_cls: 7.9960, losses_bboxes: 0.4944, loss: 8.4904 2022-11-02 17:40:49,571 - mmdet - INFO - Epoch [1][3450/7390] lr: 1.000e-02, eta: 18:21:33, time: 0.774, data_time: 0.009, memory: 42827, loss_cls: 7.9960, losses_bboxes: 0.4949, loss: 8.4910 2022-11-02 17:41:27,672 - mmdet - INFO - Epoch [1][3500/7390] lr: 1.000e-02, eta: 18:20:38, time: 0.762, data_time: 0.009, memory: 42827, loss_cls: 7.9952, losses_bboxes: 0.4941, loss: 8.4893 2022-11-02 17:42:06,238 - mmdet - INFO - Epoch [1][3550/7390] lr: 1.000e-02, eta: 18:19:54, time: 0.771, data_time: 0.009, memory: 42827, loss_cls: 7.9874, losses_bboxes: 0.4956, loss: 8.4830 2022-11-02 17:42:44,382 - mmdet - INFO - Epoch [1][3600/7390] lr: 1.000e-02, eta: 18:19:01, time: 0.763, data_time: 0.008, memory: 42858, loss_cls: 7.9947, losses_bboxes: 0.4935, loss: 8.4883 2022-11-02 17:43:23,168 - mmdet - INFO - Epoch [1][3650/7390] lr: 1.000e-02, eta: 18:18:23, time: 0.776, data_time: 0.009, memory: 42858, loss_cls: 7.9885, losses_bboxes: 0.4949, loss: 8.4834 2022-11-02 17:44:01,986 - mmdet - INFO - Epoch [1][3700/7390] lr: 1.000e-02, eta: 18:17:45, time: 0.776, data_time: 0.008, memory: 42858, loss_cls: 7.9945, losses_bboxes: 0.4926, loss: 8.4871 2022-11-02 17:44:40,551 - mmdet - INFO - Epoch [1][3750/7390] lr: 1.000e-02, eta: 18:17:02, time: 0.771, data_time: 0.009, memory: 42858, loss_cls: 7.9900, losses_bboxes: 0.4928, loss: 8.4828 2022-11-02 17:45:19,272 - mmdet - INFO - Epoch [1][3800/7390] lr: 1.000e-02, eta: 18:16:23, time: 0.774, data_time: 0.008, memory: 42858, loss_cls: 7.9864, losses_bboxes: 0.4928, loss: 8.4792 2022-11-02 17:45:57,897 - mmdet - INFO - Epoch [1][3850/7390] lr: 1.000e-02, eta: 18:15:41, time: 0.772, data_time: 0.008, memory: 42858, loss_cls: 7.9808, losses_bboxes: 0.4928, loss: 8.4736 2022-11-02 17:46:36,659 - mmdet - INFO - Epoch [1][3900/7390] lr: 1.000e-02, eta: 18:15:03, time: 0.775, data_time: 0.009, memory: 42858, loss_cls: 7.9901, losses_bboxes: 0.4922, loss: 8.4822 2022-11-02 17:47:15,372 - mmdet - INFO - Epoch [1][3950/7390] lr: 1.000e-02, eta: 18:14:23, time: 0.774, data_time: 0.009, memory: 42858, loss_cls: 7.9847, losses_bboxes: 0.4941, loss: 8.4789 2022-11-02 17:47:53,534 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 17:47:53,534 - mmdet - INFO - Epoch [1][4000/7390] lr: 1.000e-02, eta: 18:13:32, time: 0.763, data_time: 0.009, memory: 42858, loss_cls: 7.9729, losses_bboxes: 0.4919, loss: 8.4648 2022-11-02 17:48:32,127 - mmdet - INFO - Epoch [1][4050/7390] lr: 1.000e-02, eta: 18:12:50, time: 0.772, data_time: 0.009, memory: 42858, loss_cls: 7.9819, losses_bboxes: 0.4925, loss: 8.4744 2022-11-02 17:49:10,324 - mmdet - INFO - Epoch [1][4100/7390] lr: 1.000e-02, eta: 18:12:00, time: 0.764, data_time: 0.008, memory: 42858, loss_cls: 7.9814, losses_bboxes: 0.4916, loss: 8.4730 2022-11-02 17:49:48,410 - mmdet - INFO - Epoch [1][4150/7390] lr: 1.000e-02, eta: 18:11:08, time: 0.762, data_time: 0.009, memory: 42858, loss_cls: 7.9778, losses_bboxes: 0.4923, loss: 8.4701 2022-11-02 17:50:26,838 - mmdet - INFO - Epoch [1][4200/7390] lr: 1.000e-02, eta: 18:10:24, time: 0.769, data_time: 0.009, memory: 42858, loss_cls: 7.9735, losses_bboxes: 0.4913, loss: 8.4648 2022-11-02 17:51:05,646 - mmdet - INFO - Epoch [1][4250/7390] lr: 1.000e-02, eta: 18:09:47, time: 0.776, data_time: 0.008, memory: 42858, loss_cls: 7.9735, losses_bboxes: 0.4922, loss: 8.4657 2022-11-02 17:51:43,720 - mmdet - INFO - Epoch [1][4300/7390] lr: 1.000e-02, eta: 18:08:55, time: 0.762, data_time: 0.009, memory: 42858, loss_cls: 7.9641, losses_bboxes: 0.4917, loss: 8.4559 2022-11-02 17:52:22,003 - mmdet - INFO - Epoch [1][4350/7390] lr: 1.000e-02, eta: 18:08:08, time: 0.766, data_time: 0.008, memory: 42858, loss_cls: 7.9665, losses_bboxes: 0.4894, loss: 8.4559 2022-11-02 17:53:00,678 - mmdet - INFO - Epoch [1][4400/7390] lr: 1.000e-02, eta: 18:07:29, time: 0.774, data_time: 0.009, memory: 42858, loss_cls: 7.9561, losses_bboxes: 0.4899, loss: 8.4460 2022-11-02 17:53:39,357 - mmdet - INFO - Epoch [1][4450/7390] lr: 1.000e-02, eta: 18:06:50, time: 0.774, data_time: 0.009, memory: 42858, loss_cls: 7.9694, losses_bboxes: 0.4911, loss: 8.4605 2022-11-02 17:54:17,973 - mmdet - INFO - Epoch [1][4500/7390] lr: 1.000e-02, eta: 18:06:09, time: 0.772, data_time: 0.009, memory: 42858, loss_cls: 7.9605, losses_bboxes: 0.4909, loss: 8.4514 2022-11-02 17:54:56,285 - mmdet - INFO - Epoch [1][4550/7390] lr: 1.000e-02, eta: 18:05:23, time: 0.766, data_time: 0.009, memory: 42858, loss_cls: 7.9690, losses_bboxes: 0.4906, loss: 8.4597 2022-11-02 17:55:34,529 - mmdet - INFO - Epoch [1][4600/7390] lr: 1.000e-02, eta: 18:04:36, time: 0.765, data_time: 0.009, memory: 42858, loss_cls: 7.9571, losses_bboxes: 0.4893, loss: 8.4464 2022-11-02 17:56:12,399 - mmdet - INFO - Epoch [1][4650/7390] lr: 1.000e-02, eta: 18:03:42, time: 0.757, data_time: 0.009, memory: 42858, loss_cls: 7.9614, losses_bboxes: 0.4886, loss: 8.4500 2022-11-02 17:56:50,806 - mmdet - INFO - Epoch [1][4700/7390] lr: 1.000e-02, eta: 18:02:58, time: 0.768, data_time: 0.009, memory: 42858, loss_cls: 7.9548, losses_bboxes: 0.4906, loss: 8.4454 2022-11-02 17:57:29,764 - mmdet - INFO - Epoch [1][4750/7390] lr: 1.000e-02, eta: 18:02:25, time: 0.779, data_time: 0.009, memory: 42858, loss_cls: 7.9582, losses_bboxes: 0.4907, loss: 8.4489 2022-11-02 17:58:08,392 - mmdet - INFO - Epoch [1][4800/7390] lr: 1.000e-02, eta: 18:01:45, time: 0.773, data_time: 0.009, memory: 42858, loss_cls: 7.9530, losses_bboxes: 0.4905, loss: 8.4436 2022-11-02 17:58:47,191 - mmdet - INFO - Epoch [1][4850/7390] lr: 1.000e-02, eta: 18:01:08, time: 0.776, data_time: 0.009, memory: 42858, loss_cls: 7.9496, losses_bboxes: 0.4888, loss: 8.4384 2022-11-02 17:59:25,557 - mmdet - INFO - Epoch [1][4900/7390] lr: 1.000e-02, eta: 18:00:24, time: 0.767, data_time: 0.009, memory: 42858, loss_cls: 7.9528, losses_bboxes: 0.4899, loss: 8.4427 2022-11-02 18:00:04,652 - mmdet - INFO - Epoch [1][4950/7390] lr: 1.000e-02, eta: 17:59:52, time: 0.782, data_time: 0.009, memory: 42858, loss_cls: 7.9522, losses_bboxes: 0.4893, loss: 8.4415 2022-11-02 18:00:43,379 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 18:00:43,379 - mmdet - INFO - Epoch [1][5000/7390] lr: 1.000e-02, eta: 17:59:14, time: 0.775, data_time: 0.009, memory: 42858, loss_cls: 7.9504, losses_bboxes: 0.4893, loss: 8.4397 2022-11-02 18:01:22,476 - mmdet - INFO - Epoch [1][5050/7390] lr: 1.000e-02, eta: 17:58:42, time: 0.782, data_time: 0.009, memory: 42858, loss_cls: 7.9397, losses_bboxes: 0.4890, loss: 8.4287 2022-11-02 18:02:01,213 - mmdet - INFO - Epoch [1][5100/7390] lr: 1.000e-02, eta: 17:58:04, time: 0.775, data_time: 0.009, memory: 42858, loss_cls: 7.9465, losses_bboxes: 0.4885, loss: 8.4349 2022-11-02 18:02:39,763 - mmdet - INFO - Epoch [1][5150/7390] lr: 1.000e-02, eta: 17:57:23, time: 0.771, data_time: 0.008, memory: 42858, loss_cls: 7.9475, losses_bboxes: 0.4883, loss: 8.4359 2022-11-02 18:03:18,386 - mmdet - INFO - Epoch [1][5200/7390] lr: 1.000e-02, eta: 17:56:43, time: 0.772, data_time: 0.009, memory: 42858, loss_cls: 7.9501, losses_bboxes: 0.4884, loss: 8.4384 2022-11-02 18:03:57,256 - mmdet - INFO - Epoch [1][5250/7390] lr: 1.000e-02, eta: 17:56:07, time: 0.777, data_time: 0.008, memory: 42858, loss_cls: 7.9456, losses_bboxes: 0.4885, loss: 8.4341 2022-11-02 18:04:35,378 - mmdet - INFO - Epoch [1][5300/7390] lr: 1.000e-02, eta: 17:55:19, time: 0.762, data_time: 0.009, memory: 42858, loss_cls: 7.9467, losses_bboxes: 0.4876, loss: 8.4343 2022-11-02 18:05:13,866 - mmdet - INFO - Epoch [1][5350/7390] lr: 1.000e-02, eta: 17:54:37, time: 0.770, data_time: 0.009, memory: 42858, loss_cls: 7.9446, losses_bboxes: 0.4877, loss: 8.4323 2022-11-02 18:05:52,054 - mmdet - INFO - Epoch [1][5400/7390] lr: 1.000e-02, eta: 17:53:51, time: 0.764, data_time: 0.008, memory: 42858, loss_cls: 7.9355, losses_bboxes: 0.4864, loss: 8.4219 2022-11-02 18:06:30,968 - mmdet - INFO - Epoch [1][5450/7390] lr: 1.000e-02, eta: 17:53:16, time: 0.778, data_time: 0.008, memory: 42858, loss_cls: 7.9361, losses_bboxes: 0.4872, loss: 8.4233 2022-11-02 18:07:09,461 - mmdet - INFO - Epoch [1][5500/7390] lr: 1.000e-02, eta: 17:52:34, time: 0.770, data_time: 0.008, memory: 42858, loss_cls: 7.9427, losses_bboxes: 0.4871, loss: 8.4298 2022-11-02 18:07:48,144 - mmdet - INFO - Epoch [1][5550/7390] lr: 1.000e-02, eta: 17:51:56, time: 0.774, data_time: 0.009, memory: 42858, loss_cls: 7.9405, losses_bboxes: 0.4867, loss: 8.4272 2022-11-02 18:08:26,272 - mmdet - INFO - Epoch [1][5600/7390] lr: 1.000e-02, eta: 17:51:09, time: 0.763, data_time: 0.008, memory: 42858, loss_cls: 7.9296, losses_bboxes: 0.4876, loss: 8.4173 2022-11-02 18:09:04,164 - mmdet - INFO - Epoch [1][5650/7390] lr: 1.000e-02, eta: 17:50:18, time: 0.758, data_time: 0.008, memory: 42858, loss_cls: 7.9373, losses_bboxes: 0.4872, loss: 8.4245 2022-11-02 18:09:42,368 - mmdet - INFO - Epoch [1][5700/7390] lr: 1.000e-02, eta: 17:49:33, time: 0.764, data_time: 0.009, memory: 42858, loss_cls: 7.9298, losses_bboxes: 0.4870, loss: 8.4168 2022-11-02 18:10:20,090 - mmdet - INFO - Epoch [1][5750/7390] lr: 1.000e-02, eta: 17:48:41, time: 0.754, data_time: 0.008, memory: 42858, loss_cls: 7.9294, losses_bboxes: 0.4875, loss: 8.4170 2022-11-02 18:10:58,920 - mmdet - INFO - Epoch [1][5800/7390] lr: 1.000e-02, eta: 17:48:04, time: 0.777, data_time: 0.009, memory: 42858, loss_cls: 7.9278, losses_bboxes: 0.4863, loss: 8.4142 2022-11-02 18:11:37,638 - mmdet - INFO - Epoch [1][5850/7390] lr: 1.000e-02, eta: 17:47:26, time: 0.774, data_time: 0.009, memory: 42858, loss_cls: 7.9231, losses_bboxes: 0.4859, loss: 8.4089 2022-11-02 18:12:16,075 - mmdet - INFO - Epoch [1][5900/7390] lr: 1.000e-02, eta: 17:46:45, time: 0.769, data_time: 0.009, memory: 42858, loss_cls: 7.9284, losses_bboxes: 0.4881, loss: 8.4165 2022-11-02 18:12:55,083 - mmdet - INFO - Epoch [1][5950/7390] lr: 1.000e-02, eta: 17:46:11, time: 0.780, data_time: 0.009, memory: 42858, loss_cls: 7.9236, losses_bboxes: 0.4875, loss: 8.4111 2022-11-02 18:13:33,904 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 18:13:33,905 - mmdet - INFO - Epoch [1][6000/7390] lr: 1.000e-02, eta: 17:45:34, time: 0.776, data_time: 0.008, memory: 42858, loss_cls: 7.9380, losses_bboxes: 0.4870, loss: 8.4250 2022-11-02 18:14:12,653 - mmdet - INFO - Epoch [1][6050/7390] lr: 1.000e-02, eta: 17:44:57, time: 0.775, data_time: 0.008, memory: 42858, loss_cls: 7.9255, losses_bboxes: 0.4863, loss: 8.4118 2022-11-02 18:14:51,216 - mmdet - INFO - Epoch [1][6100/7390] lr: 1.000e-02, eta: 17:44:17, time: 0.771, data_time: 0.008, memory: 42858, loss_cls: 7.9217, losses_bboxes: 0.4858, loss: 8.4076 2022-11-02 18:15:29,944 - mmdet - INFO - Epoch [1][6150/7390] lr: 1.000e-02, eta: 17:43:39, time: 0.775, data_time: 0.009, memory: 42858, loss_cls: 7.9250, losses_bboxes: 0.4873, loss: 8.4123 2022-11-02 18:16:08,063 - mmdet - INFO - Epoch [1][6200/7390] lr: 1.000e-02, eta: 17:42:53, time: 0.762, data_time: 0.009, memory: 42858, loss_cls: 7.9284, losses_bboxes: 0.4852, loss: 8.4136 2022-11-02 18:16:46,424 - mmdet - INFO - Epoch [1][6250/7390] lr: 1.000e-02, eta: 17:42:10, time: 0.767, data_time: 0.009, memory: 42858, loss_cls: 7.9150, losses_bboxes: 0.4864, loss: 8.4015 2022-11-02 18:17:25,170 - mmdet - INFO - Epoch [1][6300/7390] lr: 1.000e-02, eta: 17:41:33, time: 0.775, data_time: 0.009, memory: 43002, loss_cls: 7.9207, losses_bboxes: 0.4867, loss: 8.4073 2022-11-02 18:18:03,743 - mmdet - INFO - Epoch [1][6350/7390] lr: 1.000e-02, eta: 17:40:53, time: 0.771, data_time: 0.008, memory: 43002, loss_cls: 7.9148, losses_bboxes: 0.4848, loss: 8.3995 2022-11-02 18:18:41,339 - mmdet - INFO - Epoch [1][6400/7390] lr: 1.000e-02, eta: 17:40:01, time: 0.752, data_time: 0.009, memory: 43002, loss_cls: 7.9105, losses_bboxes: 0.4848, loss: 8.3953 2022-11-02 18:19:20,112 - mmdet - INFO - Epoch [1][6450/7390] lr: 1.000e-02, eta: 17:39:24, time: 0.775, data_time: 0.009, memory: 43002, loss_cls: 7.9140, losses_bboxes: 0.4860, loss: 8.4000 2022-11-02 18:19:58,269 - mmdet - INFO - Epoch [1][6500/7390] lr: 1.000e-02, eta: 17:38:39, time: 0.763, data_time: 0.008, memory: 43002, loss_cls: 7.9281, losses_bboxes: 0.4853, loss: 8.4134 2022-11-02 18:20:36,946 - mmdet - INFO - Epoch [1][6550/7390] lr: 1.000e-02, eta: 17:38:01, time: 0.774, data_time: 0.008, memory: 43002, loss_cls: 7.9174, losses_bboxes: 0.4852, loss: 8.4027 2022-11-02 18:21:15,737 - mmdet - INFO - Epoch [1][6600/7390] lr: 1.000e-02, eta: 17:37:24, time: 0.776, data_time: 0.009, memory: 43002, loss_cls: 7.9181, losses_bboxes: 0.4855, loss: 8.4036 2022-11-02 18:21:54,337 - mmdet - INFO - Epoch [1][6650/7390] lr: 1.000e-02, eta: 17:36:45, time: 0.772, data_time: 0.009, memory: 43002, loss_cls: 7.9203, losses_bboxes: 0.4841, loss: 8.4044 2022-11-02 18:22:32,852 - mmdet - INFO - Epoch [1][6700/7390] lr: 1.000e-02, eta: 17:36:04, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.9139, losses_bboxes: 0.4844, loss: 8.3984 2022-11-02 18:23:11,023 - mmdet - INFO - Epoch [1][6750/7390] lr: 1.000e-02, eta: 17:35:20, time: 0.763, data_time: 0.009, memory: 43002, loss_cls: 7.9132, losses_bboxes: 0.4853, loss: 8.3985 2022-11-02 18:23:48,836 - mmdet - INFO - Epoch [1][6800/7390] lr: 1.000e-02, eta: 17:34:31, time: 0.756, data_time: 0.009, memory: 43002, loss_cls: 7.9173, losses_bboxes: 0.4864, loss: 8.4037 2022-11-02 18:24:26,939 - mmdet - INFO - Epoch [1][6850/7390] lr: 1.000e-02, eta: 17:33:46, time: 0.762, data_time: 0.008, memory: 43002, loss_cls: 7.9143, losses_bboxes: 0.4841, loss: 8.3984 2022-11-02 18:25:05,453 - mmdet - INFO - Epoch [1][6900/7390] lr: 1.000e-02, eta: 17:33:06, time: 0.770, data_time: 0.008, memory: 43002, loss_cls: 7.9130, losses_bboxes: 0.4831, loss: 8.3960 2022-11-02 18:25:43,806 - mmdet - INFO - Epoch [1][6950/7390] lr: 1.000e-02, eta: 17:32:24, time: 0.767, data_time: 0.009, memory: 43002, loss_cls: 7.9104, losses_bboxes: 0.4841, loss: 8.3945 2022-11-02 18:26:22,003 - mmdet - INFO - Exp name: retinanet.py 2022-11-02 18:26:22,003 - mmdet - INFO - Epoch [1][7000/7390] lr: 1.000e-02, eta: 17:31:41, time: 0.764, data_time: 0.009, memory: 43002, loss_cls: 7.9008, losses_bboxes: 0.4820, loss: 8.3828 2022-11-02 18:27:00,544 - mmdet - INFO - Epoch [1][7050/7390] lr: 1.000e-02, eta: 17:31:01, time: 0.771, data_time: 0.009, memory: 43002, loss_cls: 7.9024, losses_bboxes: 0.4835, loss: 8.3859 2022-11-02 18:27:38,998 - mmdet - INFO - Epoch [1][7100/7390] lr: 1.000e-02, eta: 17:30:20, time: 0.769, data_time: 0.009, memory: 43002, loss_cls: 7.9146, losses_bboxes: 0.4841, loss: 8.3987 2022-11-02 18:28:17,657 - mmdet - INFO - Epoch [1][7150/7390] lr: 1.000e-02, eta: 17:29:42, time: 0.773, data_time: 0.009, memory: 43002, loss_cls: 7.9101, losses_bboxes: 0.4848, loss: 8.3948 2022-11-02 18:28:56,513 - mmdet - INFO - Epoch [1][7200/7390] lr: 1.000e-02, eta: 17:29:06, time: 0.777, data_time: 0.009, memory: 43002, loss_cls: 7.9007, losses_bboxes: 0.4830, loss: 8.3837 2022-11-02 18:29:34,964 - mmdet - INFO - Epoch [1][7250/7390] lr: 1.000e-02, eta: 17:28:25, time: 0.769, data_time: 0.009, memory: 43002, loss_cls: 7.9105, losses_bboxes: 0.4830, loss: 8.3934 2022-11-02 18:30:13,629 - mmdet - INFO - Epoch [1][7300/7390] lr: 1.000e-02, eta: 17:27:47, time: 0.773, data_time: 0.009, memory: 43002, loss_cls: 7.9075, losses_bboxes: 0.4825, loss: 8.3900 2022-11-02 18:30:52,202 - mmdet - INFO - Epoch [1][7350/7390] lr: 1.000e-02, eta: 17:27:08, time: 0.771, data_time: 0.008, memory: 43002, loss_cls: 7.9084, losses_bboxes: 0.4825, loss: 8.3909 2022-11-02 18:31:23,121 - mmdet - INFO - Saving checkpoint at 1 epochs 2022-11-02 18:32:05,592 - mmdet - INFO - Epoch [2][50/7390] lr: 1.000e-02, eta: 17:20:52, time: 0.829, data_time: 0.068, memory: 43002, loss_cls: 7.8922, losses_bboxes: 0.4819, loss: 8.3741 2022-11-02 18:32:44,349 - mmdet - INFO - Epoch [2][100/7390] lr: 1.000e-02, eta: 17:20:17, time: 0.775, data_time: 0.008, memory: 43002, loss_cls: 7.9075, losses_bboxes: 0.4807, loss: 8.3882 2022-11-02 18:33:23,190 - mmdet - INFO - Epoch [2][150/7390] lr: 1.000e-02, eta: 17:19:43, time: 0.777, data_time: 0.008, memory: 43002, loss_cls: 7.8960, losses_bboxes: 0.4847, loss: 8.3807 2022-11-02 18:34:01,207 - mmdet - INFO - Epoch [2][200/7390] lr: 1.000e-02, eta: 17:19:00, time: 0.760, data_time: 0.008, memory: 43002, loss_cls: 7.9033, losses_bboxes: 0.4829, loss: 8.3862 2022-11-02 18:34:39,619 - mmdet - INFO - Epoch [2][250/7390] lr: 1.000e-02, eta: 17:18:21, time: 0.768, data_time: 0.009, memory: 43002, loss_cls: 7.9052, losses_bboxes: 0.4837, loss: 8.3889 2022-11-02 18:35:18,054 - mmdet - INFO - Epoch [2][300/7390] lr: 1.000e-02, eta: 17:17:43, time: 0.769, data_time: 0.009, memory: 43002, loss_cls: 7.8907, losses_bboxes: 0.4836, loss: 8.3743 2022-11-02 18:35:56,612 - mmdet - INFO - Epoch [2][350/7390] lr: 1.000e-02, eta: 17:17:06, time: 0.771, data_time: 0.009, memory: 43002, loss_cls: 7.9066, losses_bboxes: 0.4827, loss: 8.3892 2022-11-02 18:36:35,097 - mmdet - INFO - Epoch [2][400/7390] lr: 1.000e-02, eta: 17:16:28, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.8948, losses_bboxes: 0.4809, loss: 8.3757 2022-11-02 18:37:13,795 - mmdet - INFO - Epoch [2][450/7390] lr: 1.000e-02, eta: 17:15:52, time: 0.774, data_time: 0.009, memory: 43002, loss_cls: 7.9039, losses_bboxes: 0.4817, loss: 8.3855 2022-11-02 18:37:52,302 - mmdet - INFO - Epoch [2][500/7390] lr: 1.000e-02, eta: 17:15:14, time: 0.770, data_time: 0.008, memory: 43002, loss_cls: 7.9001, losses_bboxes: 0.4827, loss: 8.3828 2022-11-02 18:38:31,392 - mmdet - INFO - Epoch [2][550/7390] lr: 1.000e-02, eta: 17:14:42, time: 0.782, data_time: 0.009, memory: 43002, loss_cls: 7.8966, losses_bboxes: 0.4823, loss: 8.3788 2022-11-02 18:39:09,693 - mmdet - INFO - Epoch [2][600/7390] lr: 1.000e-02, eta: 17:14:02, time: 0.766, data_time: 0.009, memory: 43002, loss_cls: 7.9023, losses_bboxes: 0.4814, loss: 8.3838 2022-11-02 18:39:47,849 - mmdet - INFO - Epoch [2][650/7390] lr: 1.000e-02, eta: 17:13:21, time: 0.763, data_time: 0.009, memory: 43002, loss_cls: 7.8981, losses_bboxes: 0.4827, loss: 8.3808 2022-11-02 18:40:26,281 - mmdet - INFO - Epoch [2][700/7390] lr: 1.000e-02, eta: 17:12:43, time: 0.769, data_time: 0.009, memory: 43002, loss_cls: 7.8838, losses_bboxes: 0.4816, loss: 8.3654 2022-11-02 18:41:04,622 - mmdet - INFO - Epoch [2][750/7390] lr: 1.000e-02, eta: 17:12:03, time: 0.767, data_time: 0.008, memory: 43002, loss_cls: 7.8935, losses_bboxes: 0.4815, loss: 8.3750 2022-11-02 18:41:42,975 - mmdet - INFO - Epoch [2][800/7390] lr: 1.000e-02, eta: 17:11:24, time: 0.767, data_time: 0.009, memory: 43002, loss_cls: 7.8900, losses_bboxes: 0.4824, loss: 8.3724 2022-11-02 18:42:20,865 - mmdet - INFO - Epoch [2][850/7390] lr: 1.000e-02, eta: 17:10:40, time: 0.758, data_time: 0.008, memory: 43002, loss_cls: 7.8973, losses_bboxes: 0.4802, loss: 8.3775 2022-11-02 18:42:59,229 - mmdet - INFO - Epoch [2][900/7390] lr: 1.000e-02, eta: 17:10:01, time: 0.767, data_time: 0.009, memory: 43002, loss_cls: 7.8923, losses_bboxes: 0.4803, loss: 8.3727 2022-11-02 18:43:37,270 - mmdet - INFO - Epoch [2][950/7390] lr: 1.000e-02, eta: 17:09:18, time: 0.761, data_time: 0.009, memory: 43002, loss_cls: 7.8929, losses_bboxes: 0.4814, loss: 8.3742 2022-11-02 18:44:16,431 - mmdet - INFO - Epoch [2][1000/7390] lr: 1.000e-02, eta: 17:08:47, time: 0.783, data_time: 0.009, memory: 43002, loss_cls: 7.8834, losses_bboxes: 0.4825, loss: 8.3660 2022-11-02 18:44:55,103 - mmdet - INFO - Epoch [2][1050/7390] lr: 1.000e-02, eta: 17:08:11, time: 0.773, data_time: 0.009, memory: 43002, loss_cls: 7.8865, losses_bboxes: 0.4808, loss: 8.3673 2022-11-02 18:45:33,838 - mmdet - INFO - Epoch [2][1100/7390] lr: 1.000e-02, eta: 17:07:35, time: 0.775, data_time: 0.009, memory: 43002, loss_cls: 7.8798, losses_bboxes: 0.4812, loss: 8.3611 2022-11-02 18:46:12,312 - mmdet - INFO - Epoch [2][1150/7390] lr: 1.000e-02, eta: 17:06:57, time: 0.769, data_time: 0.009, memory: 43002, loss_cls: 7.8886, losses_bboxes: 0.4810, loss: 8.3696 2022-11-02 18:46:50,203 - mmdet - INFO - Epoch [2][1200/7390] lr: 1.000e-02, eta: 17:06:13, time: 0.758, data_time: 0.009, memory: 43002, loss_cls: 7.8917, losses_bboxes: 0.4810, loss: 8.3726 2022-11-02 18:47:27,999 - mmdet - INFO - Epoch [2][1250/7390] lr: 1.000e-02, eta: 17:05:29, time: 0.756, data_time: 0.008, memory: 43002, loss_cls: 7.8985, losses_bboxes: 0.4815, loss: 8.3800 2022-11-02 18:48:06,403 - mmdet - INFO - Epoch [2][1300/7390] lr: 1.000e-02, eta: 17:04:50, time: 0.768, data_time: 0.009, memory: 43002, loss_cls: 7.8782, losses_bboxes: 0.4822, loss: 8.3604 2022-11-02 18:48:44,828 - mmdet - INFO - Epoch [2][1350/7390] lr: 1.000e-02, eta: 17:04:12, time: 0.768, data_time: 0.009, memory: 43002, loss_cls: 7.8757, losses_bboxes: 0.4810, loss: 8.3567 2022-11-02 18:49:23,026 - mmdet - INFO - Epoch [2][1400/7390] lr: 1.000e-02, eta: 17:03:31, time: 0.764, data_time: 0.009, memory: 43002, loss_cls: 7.8853, losses_bboxes: 0.4798, loss: 8.3651 2022-11-02 18:50:01,293 - mmdet - INFO - Epoch [2][1450/7390] lr: 1.000e-02, eta: 17:02:51, time: 0.765, data_time: 0.009, memory: 43002, loss_cls: 7.8896, losses_bboxes: 0.4826, loss: 8.3722 2022-11-02 18:50:41,909 - mmdet - INFO - Epoch [2][1500/7390] lr: 1.000e-02, eta: 17:02:32, time: 0.812, data_time: 0.009, memory: 43002, loss_cls: 7.8864, losses_bboxes: 0.4787, loss: 8.3651 2022-11-02 18:51:24,997 - mmdet - INFO - Epoch [2][1550/7390] lr: 1.000e-02, eta: 17:02:35, time: 0.862, data_time: 0.008, memory: 43002, loss_cls: 7.8881, losses_bboxes: 0.4801, loss: 8.3682 2022-11-02 18:52:06,353 - mmdet - INFO - Epoch [2][1600/7390] lr: 1.000e-02, eta: 17:02:22, time: 0.827, data_time: 0.009, memory: 43002, loss_cls: 7.8873, losses_bboxes: 0.4821, loss: 8.3694 2022-11-02 18:52:48,902 - mmdet - INFO - Epoch [2][1650/7390] lr: 1.000e-02, eta: 17:02:19, time: 0.851, data_time: 0.009, memory: 43002, loss_cls: 7.8809, losses_bboxes: 0.4800, loss: 8.3608 2022-11-02 18:53:31,661 - mmdet - INFO - Epoch [2][1700/7390] lr: 1.000e-02, eta: 17:02:18, time: 0.855, data_time: 0.009, memory: 43002, loss_cls: 7.8726, losses_bboxes: 0.4805, loss: 8.3531 2022-11-02 18:54:10,219 - mmdet - INFO - Epoch [2][1750/7390] lr: 1.000e-02, eta: 17:01:40, time: 0.771, data_time: 0.009, memory: 43002, loss_cls: 7.8740, losses_bboxes: 0.4805, loss: 8.3545 2022-11-02 18:54:48,492 - mmdet - INFO - Epoch [2][1800/7390] lr: 1.000e-02, eta: 17:00:59, time: 0.765, data_time: 0.009, memory: 43002, loss_cls: 7.8831, losses_bboxes: 0.4804, loss: 8.3635 2022-11-02 18:55:26,709 - mmdet - INFO - Epoch [2][1850/7390] lr: 1.000e-02, eta: 17:00:18, time: 0.764, data_time: 0.009, memory: 43002, loss_cls: 7.8861, losses_bboxes: 0.4802, loss: 8.3662 2022-11-02 18:56:05,462 - mmdet - INFO - Epoch [2][1900/7390] lr: 1.000e-02, eta: 16:59:41, time: 0.775, data_time: 0.009, memory: 43002, loss_cls: 7.8764, losses_bboxes: 0.4807, loss: 8.3571 2022-11-02 18:56:43,399 - mmdet - INFO - Epoch [2][1950/7390] lr: 1.000e-02, eta: 16:58:58, time: 0.759, data_time: 0.008, memory: 43002, loss_cls: 7.8768, losses_bboxes: 0.4800, loss: 8.3568 2022-11-02 18:57:22,330 - mmdet - INFO - Epoch [2][2000/7390] lr: 1.000e-02, eta: 16:58:22, time: 0.779, data_time: 0.009, memory: 43002, loss_cls: 7.8797, losses_bboxes: 0.4795, loss: 8.3592 2022-11-02 18:58:00,778 - mmdet - INFO - Epoch [2][2050/7390] lr: 1.000e-02, eta: 16:57:43, time: 0.769, data_time: 0.009, memory: 43002, loss_cls: 7.8747, losses_bboxes: 0.4801, loss: 8.3548 2022-11-02 18:58:39,844 - mmdet - INFO - Epoch [2][2100/7390] lr: 1.000e-02, eta: 16:57:09, time: 0.781, data_time: 0.009, memory: 43002, loss_cls: 7.8689, losses_bboxes: 0.4807, loss: 8.3496 2022-11-02 18:59:17,588 - mmdet - INFO - Epoch [2][2150/7390] lr: 1.000e-02, eta: 16:56:24, time: 0.755, data_time: 0.009, memory: 43002, loss_cls: 7.8814, losses_bboxes: 0.4790, loss: 8.3604 2022-11-02 18:59:56,356 - mmdet - INFO - Epoch [2][2200/7390] lr: 1.000e-02, eta: 16:55:47, time: 0.775, data_time: 0.009, memory: 43002, loss_cls: 7.8764, losses_bboxes: 0.4798, loss: 8.3563 2022-11-02 19:00:35,176 - mmdet - INFO - Epoch [2][2250/7390] lr: 1.000e-02, eta: 16:55:11, time: 0.776, data_time: 0.009, memory: 43002, loss_cls: 7.8787, losses_bboxes: 0.4791, loss: 8.3578 2022-11-02 19:01:14,327 - mmdet - INFO - Epoch [2][2300/7390] lr: 1.000e-02, eta: 16:54:38, time: 0.783, data_time: 0.009, memory: 43002, loss_cls: 7.8712, losses_bboxes: 0.4800, loss: 8.3512 2022-11-02 19:01:52,314 - mmdet - INFO - Epoch [2][2350/7390] lr: 1.000e-02, eta: 16:53:55, time: 0.760, data_time: 0.009, memory: 43002, loss_cls: 7.8735, losses_bboxes: 0.4797, loss: 8.3531 2022-11-02 19:02:30,699 - mmdet - INFO - Epoch [2][2400/7390] lr: 1.000e-02, eta: 16:53:15, time: 0.768, data_time: 0.009, memory: 43002, loss_cls: 7.8705, losses_bboxes: 0.4795, loss: 8.3500 2022-11-02 19:03:09,150 - mmdet - INFO - Epoch [2][2450/7390] lr: 1.000e-02, eta: 16:52:36, time: 0.769, data_time: 0.009, memory: 43002, loss_cls: 7.8865, losses_bboxes: 0.4798, loss: 8.3662 2022-11-02 19:03:47,826 - mmdet - INFO - Epoch [2][2500/7390] lr: 1.000e-02, eta: 16:51:59, time: 0.774, data_time: 0.008, memory: 43002, loss_cls: 7.8664, losses_bboxes: 0.4768, loss: 8.3431 2022-11-02 19:04:26,365 - mmdet - INFO - Epoch [2][2550/7390] lr: 1.000e-02, eta: 16:51:20, time: 0.771, data_time: 0.009, memory: 43002, loss_cls: 7.8737, losses_bboxes: 0.4803, loss: 8.3540 2022-11-02 19:05:04,825 - mmdet - INFO - Epoch [2][2600/7390] lr: 1.000e-02, eta: 16:50:41, time: 0.769, data_time: 0.008, memory: 43002, loss_cls: 7.8758, losses_bboxes: 0.4779, loss: 8.3537 2022-11-02 19:05:43,492 - mmdet - INFO - Epoch [2][2650/7390] lr: 1.000e-02, eta: 16:50:04, time: 0.773, data_time: 0.008, memory: 43002, loss_cls: 7.8717, losses_bboxes: 0.4784, loss: 8.3501 2022-11-02 19:06:21,968 - mmdet - INFO - Epoch [2][2700/7390] lr: 1.000e-02, eta: 16:49:25, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.8767, losses_bboxes: 0.4792, loss: 8.3559 2022-11-02 19:07:00,567 - mmdet - INFO - Epoch [2][2750/7390] lr: 1.000e-02, eta: 16:48:47, time: 0.772, data_time: 0.008, memory: 43002, loss_cls: 7.8781, losses_bboxes: 0.4799, loss: 8.3581 2022-11-02 19:07:38,676 - mmdet - INFO - Epoch [2][2800/7390] lr: 1.000e-02, eta: 16:48:05, time: 0.762, data_time: 0.009, memory: 43002, loss_cls: 7.8696, losses_bboxes: 0.4793, loss: 8.3488 2022-11-02 19:08:16,984 - mmdet - INFO - Epoch [2][2850/7390] lr: 1.000e-02, eta: 16:47:24, time: 0.766, data_time: 0.008, memory: 43002, loss_cls: 7.8755, losses_bboxes: 0.4785, loss: 8.3540 2022-11-02 19:08:55,612 - mmdet - INFO - Epoch [2][2900/7390] lr: 1.000e-02, eta: 16:46:47, time: 0.773, data_time: 0.009, memory: 43002, loss_cls: 7.8775, losses_bboxes: 0.4784, loss: 8.3560 2022-11-02 19:09:34,380 - mmdet - INFO - Epoch [2][2950/7390] lr: 1.000e-02, eta: 16:46:10, time: 0.775, data_time: 0.009, memory: 43002, loss_cls: 7.8684, losses_bboxes: 0.4767, loss: 8.3451 2022-11-02 19:10:12,613 - mmdet - INFO - Epoch [2][3000/7390] lr: 1.000e-02, eta: 16:45:29, time: 0.765, data_time: 0.009, memory: 43002, loss_cls: 7.8732, losses_bboxes: 0.4786, loss: 8.3518 2022-11-02 19:10:50,768 - mmdet - INFO - Epoch [2][3050/7390] lr: 1.000e-02, eta: 16:44:48, time: 0.763, data_time: 0.009, memory: 43002, loss_cls: 7.8696, losses_bboxes: 0.4781, loss: 8.3477 2022-11-02 19:11:29,421 - mmdet - INFO - Epoch [2][3100/7390] lr: 1.000e-02, eta: 16:44:10, time: 0.773, data_time: 0.009, memory: 43002, loss_cls: 7.8684, losses_bboxes: 0.4781, loss: 8.3465 2022-11-02 19:12:07,683 - mmdet - INFO - Epoch [2][3150/7390] lr: 1.000e-02, eta: 16:43:30, time: 0.765, data_time: 0.009, memory: 43002, loss_cls: 7.8629, losses_bboxes: 0.4793, loss: 8.3422 2022-11-02 19:12:46,341 - mmdet - INFO - Epoch [2][3200/7390] lr: 1.000e-02, eta: 16:42:52, time: 0.773, data_time: 0.009, memory: 43002, loss_cls: 7.8606, losses_bboxes: 0.4783, loss: 8.3388 2022-11-02 19:13:25,074 - mmdet - INFO - Epoch [2][3250/7390] lr: 1.000e-02, eta: 16:42:15, time: 0.775, data_time: 0.008, memory: 43002, loss_cls: 7.8773, losses_bboxes: 0.4795, loss: 8.3569 2022-11-02 19:14:03,400 - mmdet - INFO - Epoch [2][3300/7390] lr: 1.000e-02, eta: 16:41:35, time: 0.766, data_time: 0.008, memory: 43002, loss_cls: 7.8613, losses_bboxes: 0.4783, loss: 8.3397 2022-11-02 19:14:41,758 - mmdet - INFO - Epoch [2][3350/7390] lr: 1.000e-02, eta: 16:40:55, time: 0.767, data_time: 0.008, memory: 43002, loss_cls: 7.8564, losses_bboxes: 0.4783, loss: 8.3347 2022-11-02 19:15:20,501 - mmdet - INFO - Epoch [2][3400/7390] lr: 1.000e-02, eta: 16:40:18, time: 0.775, data_time: 0.009, memory: 43002, loss_cls: 7.8641, losses_bboxes: 0.4783, loss: 8.3424 2022-11-02 19:15:59,603 - mmdet - INFO - Epoch [2][3450/7390] lr: 1.000e-02, eta: 16:39:44, time: 0.782, data_time: 0.008, memory: 43002, loss_cls: 7.8703, losses_bboxes: 0.4785, loss: 8.3488 2022-11-02 19:16:38,092 - mmdet - INFO - Epoch [2][3500/7390] lr: 1.000e-02, eta: 16:39:05, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.8725, losses_bboxes: 0.4778, loss: 8.3503 2022-11-02 19:17:16,286 - mmdet - INFO - Epoch [2][3550/7390] lr: 1.000e-02, eta: 16:38:24, time: 0.764, data_time: 0.009, memory: 43002, loss_cls: 7.8621, losses_bboxes: 0.4762, loss: 8.3383 2022-11-02 19:17:55,036 - mmdet - INFO - Epoch [2][3600/7390] lr: 1.000e-02, eta: 16:37:47, time: 0.775, data_time: 0.009, memory: 43002, loss_cls: 7.8645, losses_bboxes: 0.4780, loss: 8.3425 2022-11-02 19:18:33,402 - mmdet - INFO - Epoch [2][3650/7390] lr: 1.000e-02, eta: 16:37:08, time: 0.767, data_time: 0.009, memory: 43002, loss_cls: 7.8587, losses_bboxes: 0.4757, loss: 8.3345 2022-11-02 19:19:12,136 - mmdet - INFO - Epoch [2][3700/7390] lr: 1.000e-02, eta: 16:36:31, time: 0.775, data_time: 0.008, memory: 43002, loss_cls: 7.8784, losses_bboxes: 0.4767, loss: 8.3551 2022-11-02 19:19:50,980 - mmdet - INFO - Epoch [2][3750/7390] lr: 1.000e-02, eta: 16:35:54, time: 0.777, data_time: 0.009, memory: 43002, loss_cls: 7.8736, losses_bboxes: 0.4780, loss: 8.3517 2022-11-02 19:20:29,457 - mmdet - INFO - Epoch [2][3800/7390] lr: 1.000e-02, eta: 16:35:15, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.8613, losses_bboxes: 0.4793, loss: 8.3406 2022-11-02 19:21:07,645 - mmdet - INFO - Epoch [2][3850/7390] lr: 1.000e-02, eta: 16:34:34, time: 0.764, data_time: 0.009, memory: 43002, loss_cls: 7.8631, losses_bboxes: 0.4767, loss: 8.3397 2022-11-02 19:21:46,222 - mmdet - INFO - Epoch [2][3900/7390] lr: 1.000e-02, eta: 16:33:56, time: 0.772, data_time: 0.009, memory: 43002, loss_cls: 7.8582, losses_bboxes: 0.4782, loss: 8.3364 2022-11-02 19:22:24,717 - mmdet - INFO - Epoch [2][3950/7390] lr: 1.000e-02, eta: 16:33:17, time: 0.770, data_time: 0.008, memory: 43002, loss_cls: 7.8548, losses_bboxes: 0.4772, loss: 8.3320 2022-11-02 19:23:03,390 - mmdet - INFO - Epoch [2][4000/7390] lr: 1.000e-02, eta: 16:32:40, time: 0.773, data_time: 0.009, memory: 43002, loss_cls: 7.8636, losses_bboxes: 0.4776, loss: 8.3412 2022-11-02 19:23:42,225 - mmdet - INFO - Epoch [2][4050/7390] lr: 1.000e-02, eta: 16:32:03, time: 0.777, data_time: 0.009, memory: 43002, loss_cls: 7.8699, losses_bboxes: 0.4761, loss: 8.3460 2022-11-02 19:24:20,620 - mmdet - INFO - Epoch [2][4100/7390] lr: 1.000e-02, eta: 16:31:24, time: 0.768, data_time: 0.009, memory: 43002, loss_cls: 7.8620, losses_bboxes: 0.4783, loss: 8.3402 2022-11-02 19:24:58,784 - mmdet - INFO - Epoch [2][4150/7390] lr: 1.000e-02, eta: 16:30:43, time: 0.763, data_time: 0.009, memory: 43002, loss_cls: 7.8627, losses_bboxes: 0.4755, loss: 8.3382 2022-11-02 19:25:37,271 - mmdet - INFO - Epoch [2][4200/7390] lr: 1.000e-02, eta: 16:30:04, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.8634, losses_bboxes: 0.4767, loss: 8.3401 2022-11-02 19:26:15,422 - mmdet - INFO - Epoch [2][4250/7390] lr: 1.000e-02, eta: 16:29:23, time: 0.763, data_time: 0.008, memory: 43002, loss_cls: 7.8567, losses_bboxes: 0.4755, loss: 8.3322 2022-11-02 19:26:53,275 - mmdet - INFO - Epoch [2][4300/7390] lr: 1.000e-02, eta: 16:28:40, time: 0.757, data_time: 0.009, memory: 43002, loss_cls: 7.8627, losses_bboxes: 0.4772, loss: 8.3399 2022-11-02 19:27:31,679 - mmdet - INFO - Epoch [2][4350/7390] lr: 1.000e-02, eta: 16:28:01, time: 0.768, data_time: 0.009, memory: 43002, loss_cls: 7.8645, losses_bboxes: 0.4770, loss: 8.3415 2022-11-02 19:28:10,441 - mmdet - INFO - Epoch [2][4400/7390] lr: 1.000e-02, eta: 16:27:24, time: 0.775, data_time: 0.009, memory: 43002, loss_cls: 7.8608, losses_bboxes: 0.4785, loss: 8.3393 2022-11-02 19:28:48,249 - mmdet - INFO - Epoch [2][4450/7390] lr: 1.000e-02, eta: 16:26:41, time: 0.756, data_time: 0.009, memory: 43002, loss_cls: 7.8616, losses_bboxes: 0.4769, loss: 8.3385 2022-11-02 19:29:26,837 - mmdet - INFO - Epoch [2][4500/7390] lr: 1.000e-02, eta: 16:26:02, time: 0.772, data_time: 0.009, memory: 43002, loss_cls: 7.8589, losses_bboxes: 0.4767, loss: 8.3356 2022-11-02 19:30:05,280 - mmdet - INFO - Epoch [2][4550/7390] lr: 1.000e-02, eta: 16:25:23, time: 0.769, data_time: 0.009, memory: 43002, loss_cls: 7.8656, losses_bboxes: 0.4769, loss: 8.3425 2022-11-02 19:30:43,957 - mmdet - INFO - Epoch [2][4600/7390] lr: 1.000e-02, eta: 16:24:46, time: 0.774, data_time: 0.009, memory: 43002, loss_cls: 7.8494, losses_bboxes: 0.4783, loss: 8.3277 2022-11-02 19:31:22,852 - mmdet - INFO - Epoch [2][4650/7390] lr: 1.000e-02, eta: 16:24:10, time: 0.778, data_time: 0.009, memory: 43002, loss_cls: 7.8478, losses_bboxes: 0.4753, loss: 8.3231 2022-11-02 19:32:01,036 - mmdet - INFO - Epoch [2][4700/7390] lr: 1.000e-02, eta: 16:23:29, time: 0.764, data_time: 0.009, memory: 43002, loss_cls: 7.8559, losses_bboxes: 0.4764, loss: 8.3323 2022-11-02 19:32:39,811 - mmdet - INFO - Epoch [2][4750/7390] lr: 1.000e-02, eta: 16:22:52, time: 0.776, data_time: 0.009, memory: 43002, loss_cls: 7.8549, losses_bboxes: 0.4761, loss: 8.3310 2022-11-02 19:33:18,477 - mmdet - INFO - Epoch [2][4800/7390] lr: 1.000e-02, eta: 16:22:15, time: 0.773, data_time: 0.008, memory: 43002, loss_cls: 7.8582, losses_bboxes: 0.4768, loss: 8.3350 2022-11-02 19:33:57,111 - mmdet - INFO - Epoch [2][4850/7390] lr: 1.000e-02, eta: 16:21:37, time: 0.773, data_time: 0.009, memory: 43002, loss_cls: 7.8568, losses_bboxes: 0.4772, loss: 8.3340 2022-11-02 19:34:35,284 - mmdet - INFO - Epoch [2][4900/7390] lr: 1.000e-02, eta: 16:20:56, time: 0.763, data_time: 0.008, memory: 43002, loss_cls: 7.8557, losses_bboxes: 0.4755, loss: 8.3312 2022-11-02 19:35:14,386 - mmdet - INFO - Epoch [2][4950/7390] lr: 1.000e-02, eta: 16:20:21, time: 0.782, data_time: 0.009, memory: 43002, loss_cls: 7.8625, losses_bboxes: 0.4783, loss: 8.3407 2022-11-02 19:35:52,735 - mmdet - INFO - Epoch [2][5000/7390] lr: 1.000e-02, eta: 16:19:41, time: 0.767, data_time: 0.009, memory: 43002, loss_cls: 7.8679, losses_bboxes: 0.4755, loss: 8.3434 2022-11-02 19:36:31,294 - mmdet - INFO - Epoch [2][5050/7390] lr: 1.000e-02, eta: 16:19:03, time: 0.771, data_time: 0.009, memory: 43002, loss_cls: 7.8535, losses_bboxes: 0.4773, loss: 8.3308 2022-11-02 19:37:10,211 - mmdet - INFO - Epoch [2][5100/7390] lr: 1.000e-02, eta: 16:18:27, time: 0.778, data_time: 0.008, memory: 43002, loss_cls: 7.8555, losses_bboxes: 0.4766, loss: 8.3321 2022-11-02 19:37:48,268 - mmdet - INFO - Epoch [2][5150/7390] lr: 1.000e-02, eta: 16:17:46, time: 0.761, data_time: 0.009, memory: 43002, loss_cls: 7.8518, losses_bboxes: 0.4763, loss: 8.3281 2022-11-02 19:38:26,783 - mmdet - INFO - Epoch [2][5200/7390] lr: 1.000e-02, eta: 16:17:07, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.8616, losses_bboxes: 0.4768, loss: 8.3383 2022-11-02 19:39:04,830 - mmdet - INFO - Epoch [2][5250/7390] lr: 1.000e-02, eta: 16:16:26, time: 0.761, data_time: 0.009, memory: 43002, loss_cls: 7.8583, losses_bboxes: 0.4758, loss: 8.3341 2022-11-02 19:39:43,390 - mmdet - INFO - Epoch [2][5300/7390] lr: 1.000e-02, eta: 16:15:47, time: 0.771, data_time: 0.009, memory: 43002, loss_cls: 7.8591, losses_bboxes: 0.4770, loss: 8.3362 2022-11-02 19:40:22,092 - mmdet - INFO - Epoch [2][5350/7390] lr: 1.000e-02, eta: 16:15:10, time: 0.774, data_time: 0.009, memory: 43002, loss_cls: 7.8603, losses_bboxes: 0.4764, loss: 8.3367 2022-11-02 19:41:00,681 - mmdet - INFO - Epoch [2][5400/7390] lr: 1.000e-02, eta: 16:14:32, time: 0.772, data_time: 0.008, memory: 43002, loss_cls: 7.8687, losses_bboxes: 0.4764, loss: 8.3451 2022-11-02 19:41:39,148 - mmdet - INFO - Epoch [2][5450/7390] lr: 1.000e-02, eta: 16:13:53, time: 0.769, data_time: 0.008, memory: 43002, loss_cls: 7.8570, losses_bboxes: 0.4746, loss: 8.3316 2022-11-02 19:42:18,233 - mmdet - INFO - Epoch [2][5500/7390] lr: 1.000e-02, eta: 16:13:18, time: 0.782, data_time: 0.008, memory: 43002, loss_cls: 7.8559, losses_bboxes: 0.4762, loss: 8.3321 2022-11-02 19:42:57,137 - mmdet - INFO - Epoch [2][5550/7390] lr: 1.000e-02, eta: 16:12:41, time: 0.778, data_time: 0.009, memory: 43002, loss_cls: 7.8560, losses_bboxes: 0.4752, loss: 8.3312 2022-11-02 19:43:35,552 - mmdet - INFO - Epoch [2][5600/7390] lr: 1.000e-02, eta: 16:12:02, time: 0.768, data_time: 0.009, memory: 43002, loss_cls: 7.8490, losses_bboxes: 0.4756, loss: 8.3246 2022-11-02 19:44:14,311 - mmdet - INFO - Epoch [2][5650/7390] lr: 1.000e-02, eta: 16:11:25, time: 0.775, data_time: 0.009, memory: 43002, loss_cls: 7.8456, losses_bboxes: 0.4753, loss: 8.3209 2022-11-02 19:44:53,667 - mmdet - INFO - Epoch [2][5700/7390] lr: 1.000e-02, eta: 16:10:51, time: 0.787, data_time: 0.009, memory: 43002, loss_cls: 7.8520, losses_bboxes: 0.4753, loss: 8.3273 2022-11-02 19:45:32,101 - mmdet - INFO - Epoch [2][5750/7390] lr: 1.000e-02, eta: 16:10:12, time: 0.769, data_time: 0.009, memory: 43002, loss_cls: 7.8434, losses_bboxes: 0.4752, loss: 8.3186 2022-11-02 19:46:10,621 - mmdet - INFO - Epoch [2][5800/7390] lr: 1.000e-02, eta: 16:09:33, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.8544, losses_bboxes: 0.4756, loss: 8.3299 2022-11-02 19:46:49,024 - mmdet - INFO - Epoch [2][5850/7390] lr: 1.000e-02, eta: 16:08:54, time: 0.768, data_time: 0.008, memory: 43002, loss_cls: 7.8562, losses_bboxes: 0.4758, loss: 8.3320 2022-11-02 19:47:27,634 - mmdet - INFO - Epoch [2][5900/7390] lr: 1.000e-02, eta: 16:08:16, time: 0.772, data_time: 0.009, memory: 43002, loss_cls: 7.8642, losses_bboxes: 0.4742, loss: 8.3384 2022-11-02 19:48:06,627 - mmdet - INFO - Epoch [2][5950/7390] lr: 1.000e-02, eta: 16:07:40, time: 0.780, data_time: 0.009, memory: 43002, loss_cls: 7.8491, losses_bboxes: 0.4759, loss: 8.3249 2022-11-02 19:48:45,262 - mmdet - INFO - Epoch [2][6000/7390] lr: 1.000e-02, eta: 16:07:02, time: 0.773, data_time: 0.009, memory: 43002, loss_cls: 7.8569, losses_bboxes: 0.4749, loss: 8.3318 2022-11-02 19:49:23,015 - mmdet - INFO - Epoch [2][6050/7390] lr: 1.000e-02, eta: 16:06:19, time: 0.755, data_time: 0.008, memory: 43002, loss_cls: 7.8538, losses_bboxes: 0.4745, loss: 8.3283 2022-11-02 19:50:01,718 - mmdet - INFO - Epoch [2][6100/7390] lr: 1.000e-02, eta: 16:05:42, time: 0.774, data_time: 0.009, memory: 43002, loss_cls: 7.8558, losses_bboxes: 0.4742, loss: 8.3300 2022-11-02 19:50:40,681 - mmdet - INFO - Epoch [2][6150/7390] lr: 1.000e-02, eta: 16:05:06, time: 0.779, data_time: 0.009, memory: 43002, loss_cls: 7.8445, losses_bboxes: 0.4752, loss: 8.3197 2022-11-02 19:51:18,897 - mmdet - INFO - Epoch [2][6200/7390] lr: 1.000e-02, eta: 16:04:25, time: 0.764, data_time: 0.009, memory: 43002, loss_cls: 7.8548, losses_bboxes: 0.4748, loss: 8.3296 2022-11-02 19:51:57,869 - mmdet - INFO - Epoch [2][6250/7390] lr: 1.000e-02, eta: 16:03:49, time: 0.779, data_time: 0.009, memory: 43002, loss_cls: 7.8545, losses_bboxes: 0.4744, loss: 8.3289 2022-11-02 19:52:36,273 - mmdet - INFO - Epoch [2][6300/7390] lr: 1.000e-02, eta: 16:03:10, time: 0.768, data_time: 0.009, memory: 43002, loss_cls: 7.8511, losses_bboxes: 0.4755, loss: 8.3266 2022-11-02 19:53:14,984 - mmdet - INFO - Epoch [2][6350/7390] lr: 1.000e-02, eta: 16:02:32, time: 0.774, data_time: 0.009, memory: 43002, loss_cls: 7.8563, losses_bboxes: 0.4754, loss: 8.3317 2022-11-02 19:53:54,096 - mmdet - INFO - Epoch [2][6400/7390] lr: 1.000e-02, eta: 16:01:57, time: 0.782, data_time: 0.009, memory: 43002, loss_cls: 7.8512, losses_bboxes: 0.4749, loss: 8.3261 2022-11-02 19:54:32,720 - mmdet - INFO - Epoch [2][6450/7390] lr: 1.000e-02, eta: 16:01:19, time: 0.772, data_time: 0.009, memory: 43002, loss_cls: 7.8490, losses_bboxes: 0.4736, loss: 8.3225 2022-11-02 19:55:11,095 - mmdet - INFO - Epoch [2][6500/7390] lr: 1.000e-02, eta: 16:00:40, time: 0.767, data_time: 0.009, memory: 43002, loss_cls: 7.8419, losses_bboxes: 0.4735, loss: 8.3154 2022-11-02 19:55:50,413 - mmdet - INFO - Epoch [2][6550/7390] lr: 1.000e-02, eta: 16:00:05, time: 0.786, data_time: 0.009, memory: 43002, loss_cls: 7.8508, losses_bboxes: 0.4745, loss: 8.3254 2022-11-02 19:56:28,854 - mmdet - INFO - Epoch [2][6600/7390] lr: 1.000e-02, eta: 15:59:26, time: 0.769, data_time: 0.009, memory: 43002, loss_cls: 7.8471, losses_bboxes: 0.4736, loss: 8.3206 2022-11-02 19:57:07,114 - mmdet - INFO - Epoch [2][6650/7390] lr: 1.000e-02, eta: 15:58:46, time: 0.765, data_time: 0.009, memory: 43002, loss_cls: 7.8547, losses_bboxes: 0.4730, loss: 8.3277 2022-11-02 19:57:45,225 - mmdet - INFO - Epoch [2][6700/7390] lr: 1.000e-02, eta: 15:58:05, time: 0.762, data_time: 0.009, memory: 43002, loss_cls: 7.8510, losses_bboxes: 0.4734, loss: 8.3243 2022-11-02 19:58:24,119 - mmdet - INFO - Epoch [2][6750/7390] lr: 1.000e-02, eta: 15:57:29, time: 0.778, data_time: 0.009, memory: 43002, loss_cls: 7.8569, losses_bboxes: 0.4744, loss: 8.3313 2022-11-02 19:59:02,737 - mmdet - INFO - Epoch [2][6800/7390] lr: 1.000e-02, eta: 15:56:51, time: 0.772, data_time: 0.009, memory: 43002, loss_cls: 7.8491, losses_bboxes: 0.4762, loss: 8.3253 2022-11-02 19:59:40,733 - mmdet - INFO - Epoch [2][6850/7390] lr: 1.000e-02, eta: 15:56:09, time: 0.760, data_time: 0.009, memory: 43002, loss_cls: 7.8491, losses_bboxes: 0.4730, loss: 8.3221 2022-11-02 20:00:18,854 - mmdet - INFO - Epoch [2][6900/7390] lr: 1.000e-02, eta: 15:55:29, time: 0.762, data_time: 0.008, memory: 43002, loss_cls: 7.8479, losses_bboxes: 0.4739, loss: 8.3219 2022-11-02 20:00:57,210 - mmdet - INFO - Epoch [2][6950/7390] lr: 1.000e-02, eta: 15:54:49, time: 0.767, data_time: 0.009, memory: 43002, loss_cls: 7.8514, losses_bboxes: 0.4722, loss: 8.3236 2022-11-02 20:01:35,939 - mmdet - INFO - Epoch [2][7000/7390] lr: 1.000e-02, eta: 15:54:12, time: 0.775, data_time: 0.009, memory: 43002, loss_cls: 7.8548, losses_bboxes: 0.4727, loss: 8.3275 2022-11-02 20:02:15,111 - mmdet - INFO - Epoch [2][7050/7390] lr: 1.000e-02, eta: 15:53:36, time: 0.783, data_time: 0.008, memory: 43002, loss_cls: 7.8516, losses_bboxes: 0.4750, loss: 8.3266 2022-11-02 20:02:53,670 - mmdet - INFO - Epoch [2][7100/7390] lr: 1.000e-02, eta: 15:52:58, time: 0.771, data_time: 0.009, memory: 43002, loss_cls: 7.8457, losses_bboxes: 0.4744, loss: 8.3201 2022-11-02 20:03:31,658 - mmdet - INFO - Epoch [2][7150/7390] lr: 1.000e-02, eta: 15:52:17, time: 0.760, data_time: 0.009, memory: 43002, loss_cls: 7.8430, losses_bboxes: 0.4731, loss: 8.3161 2022-11-02 20:04:10,452 - mmdet - INFO - Epoch [2][7200/7390] lr: 1.000e-02, eta: 15:51:39, time: 0.776, data_time: 0.009, memory: 43002, loss_cls: 7.8474, losses_bboxes: 0.4737, loss: 8.3211 2022-11-02 20:04:49,930 - mmdet - INFO - Epoch [2][7250/7390] lr: 1.000e-02, eta: 15:51:06, time: 0.790, data_time: 0.009, memory: 43002, loss_cls: 7.8507, losses_bboxes: 0.4746, loss: 8.3254 2022-11-02 20:05:28,136 - mmdet - INFO - Epoch [2][7300/7390] lr: 1.000e-02, eta: 15:50:25, time: 0.764, data_time: 0.009, memory: 43002, loss_cls: 7.8395, losses_bboxes: 0.4725, loss: 8.3120 2022-11-02 20:06:06,643 - mmdet - INFO - Epoch [2][7350/7390] lr: 1.000e-02, eta: 15:49:47, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.8567, losses_bboxes: 0.4742, loss: 8.3309 2022-11-02 20:06:38,098 - mmdet - INFO - Saving checkpoint at 2 epochs 2022-11-02 20:07:20,328 - mmdet - INFO - Epoch [3][50/7390] lr: 1.000e-02, eta: 15:46:17, time: 0.825, data_time: 0.069, memory: 43002, loss_cls: 7.8519, losses_bboxes: 0.4723, loss: 8.3242 2022-11-02 20:07:58,586 - mmdet - INFO - Epoch [3][100/7390] lr: 1.000e-02, eta: 15:45:38, time: 0.765, data_time: 0.009, memory: 43002, loss_cls: 7.8479, losses_bboxes: 0.4724, loss: 8.3203 2022-11-02 20:08:37,170 - mmdet - INFO - Epoch [3][150/7390] lr: 1.000e-02, eta: 15:45:00, time: 0.772, data_time: 0.009, memory: 43002, loss_cls: 7.8473, losses_bboxes: 0.4736, loss: 8.3209 2022-11-02 20:09:15,838 - mmdet - INFO - Epoch [3][200/7390] lr: 1.000e-02, eta: 15:44:23, time: 0.773, data_time: 0.008, memory: 43002, loss_cls: 7.8446, losses_bboxes: 0.4733, loss: 8.3179 2022-11-02 20:09:53,895 - mmdet - INFO - Epoch [3][250/7390] lr: 1.000e-02, eta: 15:43:43, time: 0.761, data_time: 0.009, memory: 43002, loss_cls: 7.8476, losses_bboxes: 0.4730, loss: 8.3206 2022-11-02 20:10:32,143 - mmdet - INFO - Epoch [3][300/7390] lr: 1.000e-02, eta: 15:43:03, time: 0.765, data_time: 0.009, memory: 43002, loss_cls: 7.8410, losses_bboxes: 0.4731, loss: 8.3141 2022-11-02 20:11:10,147 - mmdet - INFO - Epoch [3][350/7390] lr: 1.000e-02, eta: 15:42:23, time: 0.760, data_time: 0.008, memory: 43002, loss_cls: 7.8510, losses_bboxes: 0.4709, loss: 8.3219 2022-11-02 20:11:48,944 - mmdet - INFO - Epoch [3][400/7390] lr: 1.000e-02, eta: 15:41:46, time: 0.776, data_time: 0.009, memory: 43002, loss_cls: 7.8432, losses_bboxes: 0.4740, loss: 8.3172 2022-11-02 20:12:28,082 - mmdet - INFO - Epoch [3][450/7390] lr: 1.000e-02, eta: 15:41:11, time: 0.783, data_time: 0.009, memory: 43002, loss_cls: 7.8464, losses_bboxes: 0.4723, loss: 8.3187 2022-11-02 20:13:06,900 - mmdet - INFO - Epoch [3][500/7390] lr: 1.000e-02, eta: 15:40:34, time: 0.776, data_time: 0.008, memory: 43002, loss_cls: 7.8465, losses_bboxes: 0.4747, loss: 8.3211 2022-11-02 20:13:45,459 - mmdet - INFO - Epoch [3][550/7390] lr: 1.000e-02, eta: 15:39:56, time: 0.771, data_time: 0.009, memory: 43002, loss_cls: 7.8358, losses_bboxes: 0.4731, loss: 8.3088 2022-11-02 20:14:23,548 - mmdet - INFO - Epoch [3][600/7390] lr: 1.000e-02, eta: 15:39:16, time: 0.762, data_time: 0.009, memory: 43002, loss_cls: 7.8517, losses_bboxes: 0.4730, loss: 8.3248 2022-11-02 20:15:02,054 - mmdet - INFO - Epoch [3][650/7390] lr: 1.000e-02, eta: 15:38:38, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.8380, losses_bboxes: 0.4718, loss: 8.3098 2022-11-02 20:15:40,426 - mmdet - INFO - Epoch [3][700/7390] lr: 1.000e-02, eta: 15:37:59, time: 0.767, data_time: 0.009, memory: 43002, loss_cls: 7.8557, losses_bboxes: 0.4720, loss: 8.3277 2022-11-02 20:16:18,670 - mmdet - INFO - Epoch [3][750/7390] lr: 1.000e-02, eta: 15:37:20, time: 0.765, data_time: 0.009, memory: 43002, loss_cls: 7.8398, losses_bboxes: 0.4733, loss: 8.3131 2022-11-02 20:16:57,060 - mmdet - INFO - Epoch [3][800/7390] lr: 1.000e-02, eta: 15:36:41, time: 0.768, data_time: 0.009, memory: 43002, loss_cls: 7.8473, losses_bboxes: 0.4723, loss: 8.3196 2022-11-02 20:17:34,929 - mmdet - INFO - Epoch [3][850/7390] lr: 1.000e-02, eta: 15:36:00, time: 0.757, data_time: 0.009, memory: 43002, loss_cls: 7.8528, losses_bboxes: 0.4732, loss: 8.3260 2022-11-02 20:18:13,197 - mmdet - INFO - Epoch [3][900/7390] lr: 1.000e-02, eta: 15:35:21, time: 0.765, data_time: 0.009, memory: 43002, loss_cls: 7.8531, losses_bboxes: 0.4711, loss: 8.3241 2022-11-02 20:18:52,017 - mmdet - INFO - Epoch [3][950/7390] lr: 1.000e-02, eta: 15:34:44, time: 0.776, data_time: 0.008, memory: 43002, loss_cls: 7.8418, losses_bboxes: 0.4728, loss: 8.3145 2022-11-02 20:19:29,786 - mmdet - INFO - Epoch [3][1000/7390] lr: 1.000e-02, eta: 15:34:03, time: 0.755, data_time: 0.009, memory: 43002, loss_cls: 7.8332, losses_bboxes: 0.4721, loss: 8.3054 2022-11-02 20:20:08,526 - mmdet - INFO - Epoch [3][1050/7390] lr: 1.000e-02, eta: 15:33:26, time: 0.775, data_time: 0.009, memory: 43002, loss_cls: 7.8467, losses_bboxes: 0.4741, loss: 8.3208 2022-11-02 20:20:46,551 - mmdet - INFO - Epoch [3][1100/7390] lr: 1.000e-02, eta: 15:32:45, time: 0.760, data_time: 0.009, memory: 43002, loss_cls: 7.8468, losses_bboxes: 0.4733, loss: 8.3201 2022-11-02 20:21:25,228 - mmdet - INFO - Epoch [3][1150/7390] lr: 1.000e-02, eta: 15:32:08, time: 0.774, data_time: 0.009, memory: 43002, loss_cls: 7.8484, losses_bboxes: 0.4743, loss: 8.3227 2022-11-02 20:22:03,768 - mmdet - INFO - Epoch [3][1200/7390] lr: 1.000e-02, eta: 15:31:30, time: 0.771, data_time: 0.009, memory: 43002, loss_cls: 7.8424, losses_bboxes: 0.4736, loss: 8.3160 2022-11-02 20:22:42,242 - mmdet - INFO - Epoch [3][1250/7390] lr: 1.000e-02, eta: 15:30:52, time: 0.769, data_time: 0.009, memory: 43002, loss_cls: 7.8538, losses_bboxes: 0.4713, loss: 8.3251 2022-11-02 20:23:21,157 - mmdet - INFO - Epoch [3][1300/7390] lr: 1.000e-02, eta: 15:30:15, time: 0.778, data_time: 0.009, memory: 43002, loss_cls: 7.8521, losses_bboxes: 0.4724, loss: 8.3245 2022-11-02 20:23:59,065 - mmdet - INFO - Epoch [3][1350/7390] lr: 1.000e-02, eta: 15:29:34, time: 0.758, data_time: 0.008, memory: 43002, loss_cls: 7.8436, losses_bboxes: 0.4719, loss: 8.3155 2022-11-02 20:24:38,066 - mmdet - INFO - Epoch [3][1400/7390] lr: 1.000e-02, eta: 15:28:59, time: 0.780, data_time: 0.008, memory: 43002, loss_cls: 7.8505, losses_bboxes: 0.4708, loss: 8.3213 2022-11-02 20:25:15,932 - mmdet - INFO - Epoch [3][1450/7390] lr: 1.000e-02, eta: 15:28:18, time: 0.757, data_time: 0.009, memory: 43002, loss_cls: 7.8473, losses_bboxes: 0.4730, loss: 8.3203 2022-11-02 20:25:55,170 - mmdet - INFO - Epoch [3][1500/7390] lr: 1.000e-02, eta: 15:27:43, time: 0.785, data_time: 0.009, memory: 43002, loss_cls: 7.8353, losses_bboxes: 0.4724, loss: 8.3077 2022-11-02 20:26:33,346 - mmdet - INFO - Epoch [3][1550/7390] lr: 1.000e-02, eta: 15:27:03, time: 0.764, data_time: 0.009, memory: 43002, loss_cls: 7.8363, losses_bboxes: 0.4711, loss: 8.3075 2022-11-02 20:27:12,399 - mmdet - INFO - Epoch [3][1600/7390] lr: 1.000e-02, eta: 15:26:27, time: 0.781, data_time: 0.009, memory: 43002, loss_cls: 7.8440, losses_bboxes: 0.4737, loss: 8.3177 2022-11-02 20:27:51,368 - mmdet - INFO - Epoch [3][1650/7390] lr: 1.000e-02, eta: 15:25:51, time: 0.779, data_time: 0.009, memory: 43002, loss_cls: 7.8362, losses_bboxes: 0.4712, loss: 8.3074 2022-11-02 20:28:29,806 - mmdet - INFO - Epoch [3][1700/7390] lr: 1.000e-02, eta: 15:25:13, time: 0.769, data_time: 0.009, memory: 43002, loss_cls: 7.8325, losses_bboxes: 0.4722, loss: 8.3047 2022-11-02 20:29:08,441 - mmdet - INFO - Epoch [3][1750/7390] lr: 1.000e-02, eta: 15:24:35, time: 0.773, data_time: 0.009, memory: 43002, loss_cls: 7.8387, losses_bboxes: 0.4723, loss: 8.3109 2022-11-02 20:29:46,269 - mmdet - INFO - Epoch [3][1800/7390] lr: 1.000e-02, eta: 15:23:54, time: 0.757, data_time: 0.008, memory: 43002, loss_cls: 7.8407, losses_bboxes: 0.4708, loss: 8.3116 2022-11-02 20:30:24,616 - mmdet - INFO - Epoch [3][1850/7390] lr: 1.000e-02, eta: 15:23:15, time: 0.767, data_time: 0.009, memory: 43002, loss_cls: 7.8396, losses_bboxes: 0.4709, loss: 8.3105 2022-11-02 20:31:02,853 - mmdet - INFO - Epoch [3][1900/7390] lr: 1.000e-02, eta: 15:22:36, time: 0.765, data_time: 0.009, memory: 43002, loss_cls: 7.8370, losses_bboxes: 0.4707, loss: 8.3076 2022-11-02 20:31:41,241 - mmdet - INFO - Epoch [3][1950/7390] lr: 1.000e-02, eta: 15:21:57, time: 0.768, data_time: 0.009, memory: 43002, loss_cls: 7.8432, losses_bboxes: 0.4719, loss: 8.3152 2022-11-02 20:32:19,717 - mmdet - INFO - Epoch [3][2000/7390] lr: 1.000e-02, eta: 15:21:19, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.8397, losses_bboxes: 0.4723, loss: 8.3121 2022-11-02 20:32:57,873 - mmdet - INFO - Epoch [3][2050/7390] lr: 1.000e-02, eta: 15:20:39, time: 0.763, data_time: 0.009, memory: 43002, loss_cls: 7.8456, losses_bboxes: 0.4711, loss: 8.3167 2022-11-02 20:33:36,279 - mmdet - INFO - Epoch [3][2100/7390] lr: 1.000e-02, eta: 15:20:01, time: 0.768, data_time: 0.009, memory: 43002, loss_cls: 7.8395, losses_bboxes: 0.4708, loss: 8.3103 2022-11-02 20:34:14,747 - mmdet - INFO - Epoch [3][2150/7390] lr: 1.000e-02, eta: 15:19:22, time: 0.769, data_time: 0.008, memory: 43002, loss_cls: 7.8400, losses_bboxes: 0.4710, loss: 8.3110 2022-11-02 20:34:53,079 - mmdet - INFO - Epoch [3][2200/7390] lr: 1.000e-02, eta: 15:18:43, time: 0.767, data_time: 0.009, memory: 43002, loss_cls: 7.8452, losses_bboxes: 0.4721, loss: 8.3172 2022-11-02 20:35:31,634 - mmdet - INFO - Epoch [3][2250/7390] lr: 1.000e-02, eta: 15:18:05, time: 0.771, data_time: 0.009, memory: 43002, loss_cls: 7.8463, losses_bboxes: 0.4701, loss: 8.3164 2022-11-02 20:36:10,397 - mmdet - INFO - Epoch [3][2300/7390] lr: 1.000e-02, eta: 15:17:28, time: 0.775, data_time: 0.009, memory: 43002, loss_cls: 7.8442, losses_bboxes: 0.4713, loss: 8.3155 2022-11-02 20:36:49,026 - mmdet - INFO - Epoch [3][2350/7390] lr: 1.000e-02, eta: 15:16:51, time: 0.773, data_time: 0.009, memory: 43002, loss_cls: 7.8354, losses_bboxes: 0.4717, loss: 8.3071 2022-11-02 20:37:27,238 - mmdet - INFO - Epoch [3][2400/7390] lr: 1.000e-02, eta: 15:16:11, time: 0.764, data_time: 0.009, memory: 43002, loss_cls: 7.8454, losses_bboxes: 0.4723, loss: 8.3176 2022-11-02 20:38:05,177 - mmdet - INFO - Epoch [3][2450/7390] lr: 1.000e-02, eta: 15:15:31, time: 0.759, data_time: 0.009, memory: 43002, loss_cls: 7.8418, losses_bboxes: 0.4701, loss: 8.3119 2022-11-02 20:38:44,107 - mmdet - INFO - Epoch [3][2500/7390] lr: 1.000e-02, eta: 15:14:54, time: 0.779, data_time: 0.009, memory: 43002, loss_cls: 7.8444, losses_bboxes: 0.4711, loss: 8.3155 2022-11-02 20:39:21,617 - mmdet - INFO - Epoch [3][2550/7390] lr: 1.000e-02, eta: 15:14:12, time: 0.750, data_time: 0.009, memory: 43002, loss_cls: 7.8423, losses_bboxes: 0.4709, loss: 8.3132 2022-11-02 20:40:00,800 - mmdet - INFO - Epoch [3][2600/7390] lr: 1.000e-02, eta: 15:13:37, time: 0.784, data_time: 0.009, memory: 43002, loss_cls: 7.8431, losses_bboxes: 0.4691, loss: 8.3122 2022-11-02 20:40:39,441 - mmdet - INFO - Epoch [3][2650/7390] lr: 1.000e-02, eta: 15:12:59, time: 0.773, data_time: 0.008, memory: 43002, loss_cls: 7.8364, losses_bboxes: 0.4718, loss: 8.3081 2022-11-02 20:41:18,477 - mmdet - INFO - Epoch [3][2700/7390] lr: 1.000e-02, eta: 15:12:23, time: 0.781, data_time: 0.009, memory: 43002, loss_cls: 7.8400, losses_bboxes: 0.4714, loss: 8.3114 2022-11-02 20:41:56,973 - mmdet - INFO - Epoch [3][2750/7390] lr: 1.000e-02, eta: 15:11:45, time: 0.770, data_time: 0.008, memory: 43002, loss_cls: 7.8380, losses_bboxes: 0.4701, loss: 8.3081 2022-11-02 20:42:35,183 - mmdet - INFO - Epoch [3][2800/7390] lr: 1.000e-02, eta: 15:11:05, time: 0.764, data_time: 0.008, memory: 43002, loss_cls: 7.8326, losses_bboxes: 0.4714, loss: 8.3040 2022-11-02 20:43:13,674 - mmdet - INFO - Epoch [3][2850/7390] lr: 1.000e-02, eta: 15:10:27, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.8526, losses_bboxes: 0.4707, loss: 8.3232 2022-11-02 20:43:52,345 - mmdet - INFO - Epoch [3][2900/7390] lr: 1.000e-02, eta: 15:09:50, time: 0.773, data_time: 0.008, memory: 43002, loss_cls: 7.8488, losses_bboxes: 0.4719, loss: 8.3207 2022-11-02 20:44:30,517 - mmdet - INFO - Epoch [3][2950/7390] lr: 1.000e-02, eta: 15:09:10, time: 0.763, data_time: 0.009, memory: 43002, loss_cls: 7.8347, losses_bboxes: 0.4707, loss: 8.3054 2022-11-02 20:45:09,733 - mmdet - INFO - Epoch [3][3000/7390] lr: 1.000e-02, eta: 15:08:35, time: 0.784, data_time: 0.009, memory: 43002, loss_cls: 7.8455, losses_bboxes: 0.4708, loss: 8.3163 2022-11-02 20:45:47,756 - mmdet - INFO - Epoch [3][3050/7390] lr: 1.000e-02, eta: 15:07:55, time: 0.760, data_time: 0.009, memory: 43002, loss_cls: 7.8311, losses_bboxes: 0.4710, loss: 8.3021 2022-11-02 20:46:26,065 - mmdet - INFO - Epoch [3][3100/7390] lr: 1.000e-02, eta: 15:07:16, time: 0.766, data_time: 0.008, memory: 43002, loss_cls: 7.8326, losses_bboxes: 0.4704, loss: 8.3030 2022-11-02 20:47:04,964 - mmdet - INFO - Epoch [3][3150/7390] lr: 1.000e-02, eta: 15:06:39, time: 0.778, data_time: 0.009, memory: 43002, loss_cls: 7.8429, losses_bboxes: 0.4717, loss: 8.3146 2022-11-02 20:47:43,313 - mmdet - INFO - Epoch [3][3200/7390] lr: 1.000e-02, eta: 15:06:00, time: 0.767, data_time: 0.009, memory: 43002, loss_cls: 7.8411, losses_bboxes: 0.4722, loss: 8.3132 2022-11-02 20:48:21,435 - mmdet - INFO - Epoch [3][3250/7390] lr: 1.000e-02, eta: 15:05:20, time: 0.762, data_time: 0.008, memory: 43002, loss_cls: 7.8354, losses_bboxes: 0.4719, loss: 8.3073 2022-11-02 20:48:59,677 - mmdet - INFO - Epoch [3][3300/7390] lr: 1.000e-02, eta: 15:04:41, time: 0.765, data_time: 0.008, memory: 43002, loss_cls: 7.8363, losses_bboxes: 0.4704, loss: 8.3068 2022-11-02 20:49:38,660 - mmdet - INFO - Epoch [3][3350/7390] lr: 1.000e-02, eta: 15:04:05, time: 0.780, data_time: 0.008, memory: 43002, loss_cls: 7.8344, losses_bboxes: 0.4703, loss: 8.3046 2022-11-02 20:50:16,828 - mmdet - INFO - Epoch [3][3400/7390] lr: 1.000e-02, eta: 15:03:25, time: 0.763, data_time: 0.009, memory: 43002, loss_cls: 7.8380, losses_bboxes: 0.4715, loss: 8.3096 2022-11-02 20:50:55,454 - mmdet - INFO - Epoch [3][3450/7390] lr: 1.000e-02, eta: 15:02:48, time: 0.773, data_time: 0.008, memory: 43002, loss_cls: 7.8365, losses_bboxes: 0.4712, loss: 8.3077 2022-11-02 20:51:33,964 - mmdet - INFO - Epoch [3][3500/7390] lr: 1.000e-02, eta: 15:02:09, time: 0.770, data_time: 0.008, memory: 43002, loss_cls: 7.8423, losses_bboxes: 0.4700, loss: 8.3122 2022-11-02 20:52:12,110 - mmdet - INFO - Epoch [3][3550/7390] lr: 1.000e-02, eta: 15:01:30, time: 0.763, data_time: 0.009, memory: 43002, loss_cls: 7.8296, losses_bboxes: 0.4701, loss: 8.2998 2022-11-02 20:52:50,606 - mmdet - INFO - Epoch [3][3600/7390] lr: 1.000e-02, eta: 15:00:52, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.8359, losses_bboxes: 0.4715, loss: 8.3075 2022-11-02 20:53:29,120 - mmdet - INFO - Epoch [3][3650/7390] lr: 1.000e-02, eta: 15:00:13, time: 0.770, data_time: 0.009, memory: 43002, loss_cls: 7.8353, losses_bboxes: 0.4692, loss: 8.3046 2022-11-02 20:54:07,251 - mmdet - INFO - Epoch [3][3700/7390] lr: 1.000e-02, eta: 14:59:34, time: 0.763, data_time: 0.008, memory: 43002, loss_cls: 7.8377, losses_bboxes: 0.4699, loss: 8.3076 2022-11-02 20:54:45,965 - mmdet - INFO - Epoch [3][3750/7390] lr: 1.000e-02, eta: 14:58:56, time: 0.774, data_time: 0.008, memory: 43002, loss_cls: 7.8487, losses_bboxes: 0.4719, loss: 8.3206 2022-11-02 20:55:24,668 - mmdet - INFO - Epoch [3][3800/7390] lr: 1.000e-02, eta: 14:58:19, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8321, losses_bboxes: 0.4717, loss: 8.3039 2022-11-02 20:56:03,508 - mmdet - INFO - Epoch [3][3850/7390] lr: 1.000e-02, eta: 14:57:42, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8328, losses_bboxes: 0.4686, loss: 8.3013 2022-11-02 20:56:42,306 - mmdet - INFO - Epoch [3][3900/7390] lr: 1.000e-02, eta: 14:57:05, time: 0.776, data_time: 0.009, memory: 43096, loss_cls: 7.8371, losses_bboxes: 0.4703, loss: 8.3074 2022-11-02 20:57:20,015 - mmdet - INFO - Epoch [3][3950/7390] lr: 1.000e-02, eta: 14:56:24, time: 0.754, data_time: 0.009, memory: 43096, loss_cls: 7.8283, losses_bboxes: 0.4704, loss: 8.2987 2022-11-02 20:57:58,635 - mmdet - INFO - Epoch [3][4000/7390] lr: 1.000e-02, eta: 14:55:46, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8322, losses_bboxes: 0.4695, loss: 8.3017 2022-11-02 20:58:36,760 - mmdet - INFO - Epoch [3][4050/7390] lr: 1.000e-02, eta: 14:55:06, time: 0.762, data_time: 0.009, memory: 43096, loss_cls: 7.8332, losses_bboxes: 0.4715, loss: 8.3047 2022-11-02 20:59:15,308 - mmdet - INFO - Epoch [3][4100/7390] lr: 1.000e-02, eta: 14:54:28, time: 0.771, data_time: 0.008, memory: 43096, loss_cls: 7.8361, losses_bboxes: 0.4715, loss: 8.3076 2022-11-02 20:59:54,383 - mmdet - INFO - Epoch [3][4150/7390] lr: 1.000e-02, eta: 14:53:52, time: 0.782, data_time: 0.009, memory: 43096, loss_cls: 7.8282, losses_bboxes: 0.4693, loss: 8.2975 2022-11-02 21:00:33,211 - mmdet - INFO - Epoch [3][4200/7390] lr: 1.000e-02, eta: 14:53:15, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8326, losses_bboxes: 0.4707, loss: 8.3033 2022-11-02 21:01:11,984 - mmdet - INFO - Epoch [3][4250/7390] lr: 1.000e-02, eta: 14:52:38, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8320, losses_bboxes: 0.4702, loss: 8.3021 2022-11-02 21:01:50,687 - mmdet - INFO - Epoch [3][4300/7390] lr: 1.000e-02, eta: 14:52:00, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8336, losses_bboxes: 0.4696, loss: 8.3032 2022-11-02 21:02:29,435 - mmdet - INFO - Epoch [3][4350/7390] lr: 1.000e-02, eta: 14:51:23, time: 0.775, data_time: 0.008, memory: 43096, loss_cls: 7.8329, losses_bboxes: 0.4685, loss: 8.3014 2022-11-02 21:03:07,864 - mmdet - INFO - Epoch [3][4400/7390] lr: 1.000e-02, eta: 14:50:44, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8269, losses_bboxes: 0.4710, loss: 8.2979 2022-11-02 21:03:45,843 - mmdet - INFO - Epoch [3][4450/7390] lr: 1.000e-02, eta: 14:50:04, time: 0.760, data_time: 0.009, memory: 43096, loss_cls: 7.8267, losses_bboxes: 0.4707, loss: 8.2974 2022-11-02 21:04:24,375 - mmdet - INFO - Epoch [3][4500/7390] lr: 1.000e-02, eta: 14:49:26, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8291, losses_bboxes: 0.4695, loss: 8.2986 2022-11-02 21:05:02,593 - mmdet - INFO - Epoch [3][4550/7390] lr: 1.000e-02, eta: 14:48:47, time: 0.764, data_time: 0.009, memory: 43096, loss_cls: 7.8284, losses_bboxes: 0.4706, loss: 8.2990 2022-11-02 21:05:40,963 - mmdet - INFO - Epoch [3][4600/7390] lr: 1.000e-02, eta: 14:48:08, time: 0.767, data_time: 0.009, memory: 43096, loss_cls: 7.8291, losses_bboxes: 0.4694, loss: 8.2986 2022-11-02 21:06:19,937 - mmdet - INFO - Epoch [3][4650/7390] lr: 1.000e-02, eta: 14:47:31, time: 0.779, data_time: 0.009, memory: 43096, loss_cls: 7.8254, losses_bboxes: 0.4690, loss: 8.2944 2022-11-02 21:06:58,007 - mmdet - INFO - Epoch [3][4700/7390] lr: 1.000e-02, eta: 14:46:52, time: 0.761, data_time: 0.009, memory: 43096, loss_cls: 7.8260, losses_bboxes: 0.4678, loss: 8.2938 2022-11-02 21:07:36,559 - mmdet - INFO - Epoch [3][4750/7390] lr: 1.000e-02, eta: 14:46:13, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8241, losses_bboxes: 0.4699, loss: 8.2939 2022-11-02 21:08:14,429 - mmdet - INFO - Epoch [3][4800/7390] lr: 1.000e-02, eta: 14:45:33, time: 0.757, data_time: 0.009, memory: 43096, loss_cls: 7.8350, losses_bboxes: 0.4701, loss: 8.3051 2022-11-02 21:08:52,914 - mmdet - INFO - Epoch [3][4850/7390] lr: 1.000e-02, eta: 14:44:55, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8280, losses_bboxes: 0.4704, loss: 8.2984 2022-11-02 21:09:31,697 - mmdet - INFO - Epoch [3][4900/7390] lr: 1.000e-02, eta: 14:44:17, time: 0.776, data_time: 0.009, memory: 43096, loss_cls: 7.8298, losses_bboxes: 0.4705, loss: 8.3002 2022-11-02 21:10:10,761 - mmdet - INFO - Epoch [3][4950/7390] lr: 1.000e-02, eta: 14:43:41, time: 0.781, data_time: 0.009, memory: 43096, loss_cls: 7.8321, losses_bboxes: 0.4693, loss: 8.3013 2022-11-02 21:10:49,539 - mmdet - INFO - Epoch [3][5000/7390] lr: 1.000e-02, eta: 14:43:04, time: 0.776, data_time: 0.009, memory: 43096, loss_cls: 7.8374, losses_bboxes: 0.4690, loss: 8.3063 2022-11-02 21:11:27,938 - mmdet - INFO - Epoch [3][5050/7390] lr: 1.000e-02, eta: 14:42:25, time: 0.768, data_time: 0.008, memory: 43096, loss_cls: 7.8232, losses_bboxes: 0.4695, loss: 8.2927 2022-11-02 21:12:06,681 - mmdet - INFO - Epoch [3][5100/7390] lr: 1.000e-02, eta: 14:41:48, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8296, losses_bboxes: 0.4691, loss: 8.2986 2022-11-02 21:12:45,470 - mmdet - INFO - Epoch [3][5150/7390] lr: 1.000e-02, eta: 14:41:10, time: 0.776, data_time: 0.009, memory: 43096, loss_cls: 7.8266, losses_bboxes: 0.4691, loss: 8.2957 2022-11-02 21:13:24,514 - mmdet - INFO - Epoch [3][5200/7390] lr: 1.000e-02, eta: 14:40:34, time: 0.781, data_time: 0.009, memory: 43096, loss_cls: 7.8287, losses_bboxes: 0.4713, loss: 8.3000 2022-11-02 21:14:03,076 - mmdet - INFO - Epoch [3][5250/7390] lr: 1.000e-02, eta: 14:39:56, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8330, losses_bboxes: 0.4683, loss: 8.3013 2022-11-02 21:14:41,662 - mmdet - INFO - Epoch [3][5300/7390] lr: 1.000e-02, eta: 14:39:18, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8298, losses_bboxes: 0.4681, loss: 8.2979 2022-11-02 21:15:19,759 - mmdet - INFO - Epoch [3][5350/7390] lr: 1.000e-02, eta: 14:38:38, time: 0.762, data_time: 0.009, memory: 43096, loss_cls: 7.8254, losses_bboxes: 0.4667, loss: 8.2921 2022-11-02 21:15:58,268 - mmdet - INFO - Epoch [3][5400/7390] lr: 1.000e-02, eta: 14:38:00, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8242, losses_bboxes: 0.4692, loss: 8.2934 2022-11-02 21:16:36,788 - mmdet - INFO - Epoch [3][5450/7390] lr: 1.000e-02, eta: 14:37:22, time: 0.770, data_time: 0.008, memory: 43096, loss_cls: 7.8220, losses_bboxes: 0.4683, loss: 8.2904 2022-11-02 21:17:15,209 - mmdet - INFO - Epoch [3][5500/7390] lr: 1.000e-02, eta: 14:36:43, time: 0.768, data_time: 0.008, memory: 43096, loss_cls: 7.8285, losses_bboxes: 0.4698, loss: 8.2982 2022-11-02 21:17:54,053 - mmdet - INFO - Epoch [3][5550/7390] lr: 1.000e-02, eta: 14:36:06, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8338, losses_bboxes: 0.4685, loss: 8.3022 2022-11-02 21:18:32,968 - mmdet - INFO - Epoch [3][5600/7390] lr: 1.000e-02, eta: 14:35:29, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8177, losses_bboxes: 0.4683, loss: 8.2860 2022-11-02 21:19:11,718 - mmdet - INFO - Epoch [3][5650/7390] lr: 1.000e-02, eta: 14:34:52, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8296, losses_bboxes: 0.4706, loss: 8.3002 2022-11-02 21:19:50,200 - mmdet - INFO - Epoch [3][5700/7390] lr: 1.000e-02, eta: 14:34:13, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8187, losses_bboxes: 0.4690, loss: 8.2877 2022-11-02 21:20:28,680 - mmdet - INFO - Epoch [3][5750/7390] lr: 1.000e-02, eta: 14:33:35, time: 0.770, data_time: 0.008, memory: 43096, loss_cls: 7.8323, losses_bboxes: 0.4686, loss: 8.3008 2022-11-02 21:21:07,149 - mmdet - INFO - Epoch [3][5800/7390] lr: 1.000e-02, eta: 14:32:57, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8315, losses_bboxes: 0.4689, loss: 8.3004 2022-11-02 21:21:45,869 - mmdet - INFO - Epoch [3][5850/7390] lr: 1.000e-02, eta: 14:32:19, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8281, losses_bboxes: 0.4696, loss: 8.2977 2022-11-02 21:22:24,492 - mmdet - INFO - Epoch [3][5900/7390] lr: 1.000e-02, eta: 14:31:41, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8345, losses_bboxes: 0.4710, loss: 8.3055 2022-11-02 21:23:02,960 - mmdet - INFO - Epoch [3][5950/7390] lr: 1.000e-02, eta: 14:31:03, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8202, losses_bboxes: 0.4697, loss: 8.2899 2022-11-02 21:23:41,273 - mmdet - INFO - Epoch [3][6000/7390] lr: 1.000e-02, eta: 14:30:24, time: 0.766, data_time: 0.008, memory: 43096, loss_cls: 7.8316, losses_bboxes: 0.4704, loss: 8.3021 2022-11-02 21:24:19,491 - mmdet - INFO - Epoch [3][6050/7390] lr: 1.000e-02, eta: 14:29:44, time: 0.764, data_time: 0.009, memory: 43096, loss_cls: 7.8161, losses_bboxes: 0.4694, loss: 8.2855 2022-11-02 21:24:58,125 - mmdet - INFO - Epoch [3][6100/7390] lr: 1.000e-02, eta: 14:29:07, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8330, losses_bboxes: 0.4686, loss: 8.3016 2022-11-02 21:25:37,237 - mmdet - INFO - Epoch [3][6150/7390] lr: 1.000e-02, eta: 14:28:30, time: 0.782, data_time: 0.009, memory: 43096, loss_cls: 7.8246, losses_bboxes: 0.4686, loss: 8.2932 2022-11-02 21:26:15,072 - mmdet - INFO - Epoch [3][6200/7390] lr: 1.000e-02, eta: 14:27:50, time: 0.757, data_time: 0.009, memory: 43096, loss_cls: 7.8281, losses_bboxes: 0.4673, loss: 8.2954 2022-11-02 21:26:53,899 - mmdet - INFO - Epoch [3][6250/7390] lr: 1.000e-02, eta: 14:27:13, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8145, losses_bboxes: 0.4684, loss: 8.2828 2022-11-02 21:27:32,139 - mmdet - INFO - Epoch [3][6300/7390] lr: 1.000e-02, eta: 14:26:33, time: 0.765, data_time: 0.008, memory: 43096, loss_cls: 7.8244, losses_bboxes: 0.4683, loss: 8.2927 2022-11-02 21:28:10,629 - mmdet - INFO - Epoch [3][6350/7390] lr: 1.000e-02, eta: 14:25:55, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8265, losses_bboxes: 0.4703, loss: 8.2968 2022-11-02 21:28:48,578 - mmdet - INFO - Epoch [3][6400/7390] lr: 1.000e-02, eta: 14:25:15, time: 0.759, data_time: 0.009, memory: 43096, loss_cls: 7.8259, losses_bboxes: 0.4682, loss: 8.2941 2022-11-02 21:29:26,934 - mmdet - INFO - Epoch [3][6450/7390] lr: 1.000e-02, eta: 14:24:36, time: 0.767, data_time: 0.009, memory: 43096, loss_cls: 7.8201, losses_bboxes: 0.4692, loss: 8.2893 2022-11-02 21:30:05,454 - mmdet - INFO - Epoch [3][6500/7390] lr: 1.000e-02, eta: 14:23:58, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8210, losses_bboxes: 0.4690, loss: 8.2900 2022-11-02 21:30:44,386 - mmdet - INFO - Epoch [3][6550/7390] lr: 1.000e-02, eta: 14:23:21, time: 0.779, data_time: 0.009, memory: 43096, loss_cls: 7.8247, losses_bboxes: 0.4709, loss: 8.2956 2022-11-02 21:31:22,777 - mmdet - INFO - Epoch [3][6600/7390] lr: 1.000e-02, eta: 14:22:42, time: 0.768, data_time: 0.008, memory: 43096, loss_cls: 7.8255, losses_bboxes: 0.4689, loss: 8.2944 2022-11-02 21:32:01,113 - mmdet - INFO - Epoch [3][6650/7390] lr: 1.000e-02, eta: 14:22:03, time: 0.767, data_time: 0.009, memory: 43096, loss_cls: 7.8159, losses_bboxes: 0.4666, loss: 8.2825 2022-11-02 21:32:39,896 - mmdet - INFO - Epoch [3][6700/7390] lr: 1.000e-02, eta: 14:21:26, time: 0.776, data_time: 0.009, memory: 43096, loss_cls: 7.8170, losses_bboxes: 0.4694, loss: 8.2864 2022-11-02 21:33:18,325 - mmdet - INFO - Epoch [3][6750/7390] lr: 1.000e-02, eta: 14:20:47, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8181, losses_bboxes: 0.4681, loss: 8.2861 2022-11-02 21:33:56,778 - mmdet - INFO - Epoch [3][6800/7390] lr: 1.000e-02, eta: 14:20:09, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8206, losses_bboxes: 0.4684, loss: 8.2889 2022-11-02 21:34:34,660 - mmdet - INFO - Epoch [3][6850/7390] lr: 1.000e-02, eta: 14:19:29, time: 0.758, data_time: 0.009, memory: 43096, loss_cls: 7.8268, losses_bboxes: 0.4683, loss: 8.2951 2022-11-02 21:35:13,324 - mmdet - INFO - Epoch [3][6900/7390] lr: 1.000e-02, eta: 14:18:51, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8221, losses_bboxes: 0.4669, loss: 8.2890 2022-11-02 21:35:51,893 - mmdet - INFO - Epoch [3][6950/7390] lr: 1.000e-02, eta: 14:18:13, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8233, losses_bboxes: 0.4670, loss: 8.2903 2022-11-02 21:36:30,821 - mmdet - INFO - Epoch [3][7000/7390] lr: 1.000e-02, eta: 14:17:36, time: 0.779, data_time: 0.009, memory: 43096, loss_cls: 7.8211, losses_bboxes: 0.4687, loss: 8.2898 2022-11-02 21:37:09,005 - mmdet - INFO - Epoch [3][7050/7390] lr: 1.000e-02, eta: 14:16:57, time: 0.764, data_time: 0.009, memory: 43096, loss_cls: 7.8243, losses_bboxes: 0.4669, loss: 8.2912 2022-11-02 21:37:47,843 - mmdet - INFO - Epoch [3][7100/7390] lr: 1.000e-02, eta: 14:16:19, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8249, losses_bboxes: 0.4692, loss: 8.2941 2022-11-02 21:38:25,357 - mmdet - INFO - Epoch [3][7150/7390] lr: 1.000e-02, eta: 14:15:38, time: 0.750, data_time: 0.009, memory: 43096, loss_cls: 7.8201, losses_bboxes: 0.4687, loss: 8.2888 2022-11-02 21:39:04,059 - mmdet - INFO - Epoch [3][7200/7390] lr: 1.000e-02, eta: 14:15:00, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8235, losses_bboxes: 0.4667, loss: 8.2902 2022-11-02 21:39:41,984 - mmdet - INFO - Epoch [3][7250/7390] lr: 1.000e-02, eta: 14:14:20, time: 0.758, data_time: 0.009, memory: 43096, loss_cls: 7.8227, losses_bboxes: 0.4669, loss: 8.2897 2022-11-02 21:40:20,126 - mmdet - INFO - Epoch [3][7300/7390] lr: 1.000e-02, eta: 14:13:41, time: 0.763, data_time: 0.009, memory: 43096, loss_cls: 7.8171, losses_bboxes: 0.4682, loss: 8.2852 2022-11-02 21:40:59,094 - mmdet - INFO - Epoch [3][7350/7390] lr: 1.000e-02, eta: 14:13:04, time: 0.779, data_time: 0.008, memory: 43096, loss_cls: 7.8216, losses_bboxes: 0.4694, loss: 8.2910 2022-11-02 21:41:30,291 - mmdet - INFO - Saving checkpoint at 3 epochs 2022-11-02 21:42:12,884 - mmdet - INFO - Epoch [4][50/7390] lr: 1.000e-02, eta: 14:10:32, time: 0.832, data_time: 0.069, memory: 43096, loss_cls: 7.8341, losses_bboxes: 0.4671, loss: 8.3012 2022-11-02 21:42:51,630 - mmdet - INFO - Epoch [4][100/7390] lr: 1.000e-02, eta: 14:09:55, time: 0.775, data_time: 0.008, memory: 43096, loss_cls: 7.8247, losses_bboxes: 0.4688, loss: 8.2935 2022-11-02 21:43:29,639 - mmdet - INFO - Epoch [4][150/7390] lr: 1.000e-02, eta: 14:09:15, time: 0.760, data_time: 0.008, memory: 43096, loss_cls: 7.8244, losses_bboxes: 0.4677, loss: 8.2921 2022-11-02 21:44:08,401 - mmdet - INFO - Epoch [4][200/7390] lr: 1.000e-02, eta: 14:08:38, time: 0.775, data_time: 0.008, memory: 43096, loss_cls: 7.8212, losses_bboxes: 0.4669, loss: 8.2881 2022-11-02 21:44:46,811 - mmdet - INFO - Epoch [4][250/7390] lr: 1.000e-02, eta: 14:07:59, time: 0.768, data_time: 0.008, memory: 43096, loss_cls: 7.8127, losses_bboxes: 0.4679, loss: 8.2806 2022-11-02 21:45:24,824 - mmdet - INFO - Epoch [4][300/7390] lr: 1.000e-02, eta: 14:07:20, time: 0.760, data_time: 0.008, memory: 43096, loss_cls: 7.8240, losses_bboxes: 0.4656, loss: 8.2896 2022-11-02 21:46:03,786 - mmdet - INFO - Epoch [4][350/7390] lr: 1.000e-02, eta: 14:06:43, time: 0.779, data_time: 0.008, memory: 43096, loss_cls: 7.8228, losses_bboxes: 0.4669, loss: 8.2897 2022-11-02 21:46:42,706 - mmdet - INFO - Epoch [4][400/7390] lr: 1.000e-02, eta: 14:06:06, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8200, losses_bboxes: 0.4667, loss: 8.2867 2022-11-02 21:47:20,633 - mmdet - INFO - Epoch [4][450/7390] lr: 1.000e-02, eta: 14:05:27, time: 0.759, data_time: 0.009, memory: 43096, loss_cls: 7.8239, losses_bboxes: 0.4673, loss: 8.2911 2022-11-02 21:47:59,210 - mmdet - INFO - Epoch [4][500/7390] lr: 1.000e-02, eta: 14:04:49, time: 0.772, data_time: 0.008, memory: 43096, loss_cls: 7.8274, losses_bboxes: 0.4707, loss: 8.2980 2022-11-02 21:48:37,509 - mmdet - INFO - Epoch [4][550/7390] lr: 1.000e-02, eta: 14:04:10, time: 0.766, data_time: 0.009, memory: 43096, loss_cls: 7.8212, losses_bboxes: 0.4650, loss: 8.2863 2022-11-02 21:49:16,179 - mmdet - INFO - Epoch [4][600/7390] lr: 1.000e-02, eta: 14:03:32, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8261, losses_bboxes: 0.4683, loss: 8.2944 2022-11-02 21:49:54,619 - mmdet - INFO - Epoch [4][650/7390] lr: 1.000e-02, eta: 14:02:54, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8242, losses_bboxes: 0.4672, loss: 8.2915 2022-11-02 21:50:33,486 - mmdet - INFO - Epoch [4][700/7390] lr: 1.000e-02, eta: 14:02:17, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8141, losses_bboxes: 0.4683, loss: 8.2824 2022-11-02 21:51:12,229 - mmdet - INFO - Epoch [4][750/7390] lr: 1.000e-02, eta: 14:01:40, time: 0.775, data_time: 0.008, memory: 43096, loss_cls: 7.8226, losses_bboxes: 0.4671, loss: 8.2897 2022-11-02 21:51:51,339 - mmdet - INFO - Epoch [4][800/7390] lr: 1.000e-02, eta: 14:01:03, time: 0.782, data_time: 0.008, memory: 43096, loss_cls: 7.8193, losses_bboxes: 0.4682, loss: 8.2875 2022-11-02 21:52:29,567 - mmdet - INFO - Epoch [4][850/7390] lr: 1.000e-02, eta: 14:00:25, time: 0.765, data_time: 0.008, memory: 43096, loss_cls: 7.8185, losses_bboxes: 0.4676, loss: 8.2861 2022-11-02 21:53:07,940 - mmdet - INFO - Epoch [4][900/7390] lr: 1.000e-02, eta: 13:59:46, time: 0.767, data_time: 0.009, memory: 43096, loss_cls: 7.8213, losses_bboxes: 0.4668, loss: 8.2881 2022-11-02 21:53:46,687 - mmdet - INFO - Epoch [4][950/7390] lr: 1.000e-02, eta: 13:59:09, time: 0.775, data_time: 0.008, memory: 43096, loss_cls: 7.8227, losses_bboxes: 0.4669, loss: 8.2896 2022-11-02 21:54:25,351 - mmdet - INFO - Epoch [4][1000/7390] lr: 1.000e-02, eta: 13:58:31, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8299, losses_bboxes: 0.4684, loss: 8.2983 2022-11-02 21:55:03,756 - mmdet - INFO - Epoch [4][1050/7390] lr: 1.000e-02, eta: 13:57:53, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8255, losses_bboxes: 0.4651, loss: 8.2905 2022-11-02 21:55:42,113 - mmdet - INFO - Epoch [4][1100/7390] lr: 1.000e-02, eta: 13:57:14, time: 0.767, data_time: 0.009, memory: 43096, loss_cls: 7.8188, losses_bboxes: 0.4672, loss: 8.2859 2022-11-02 21:56:20,808 - mmdet - INFO - Epoch [4][1150/7390] lr: 1.000e-02, eta: 13:56:37, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8243, losses_bboxes: 0.4689, loss: 8.2932 2022-11-02 21:56:59,919 - mmdet - INFO - Epoch [4][1200/7390] lr: 1.000e-02, eta: 13:56:00, time: 0.782, data_time: 0.008, memory: 43096, loss_cls: 7.8232, losses_bboxes: 0.4667, loss: 8.2899 2022-11-02 21:57:38,388 - mmdet - INFO - Epoch [4][1250/7390] lr: 1.000e-02, eta: 13:55:22, time: 0.769, data_time: 0.008, memory: 43096, loss_cls: 7.8294, losses_bboxes: 0.4689, loss: 8.2983 2022-11-02 21:58:16,938 - mmdet - INFO - Epoch [4][1300/7390] lr: 1.000e-02, eta: 13:54:44, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8215, losses_bboxes: 0.4678, loss: 8.2893 2022-11-02 21:58:54,979 - mmdet - INFO - Epoch [4][1350/7390] lr: 1.000e-02, eta: 13:54:04, time: 0.761, data_time: 0.008, memory: 43096, loss_cls: 7.8182, losses_bboxes: 0.4668, loss: 8.2850 2022-11-02 21:59:33,131 - mmdet - INFO - Epoch [4][1400/7390] lr: 1.000e-02, eta: 13:53:25, time: 0.763, data_time: 0.009, memory: 43096, loss_cls: 7.8249, losses_bboxes: 0.4685, loss: 8.2934 2022-11-02 22:00:11,098 - mmdet - INFO - Epoch [4][1450/7390] lr: 1.000e-02, eta: 13:52:46, time: 0.759, data_time: 0.009, memory: 43096, loss_cls: 7.8221, losses_bboxes: 0.4675, loss: 8.2896 2022-11-02 22:00:49,845 - mmdet - INFO - Epoch [4][1500/7390] lr: 1.000e-02, eta: 13:52:08, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8087, losses_bboxes: 0.4678, loss: 8.2765 2022-11-02 22:01:28,327 - mmdet - INFO - Epoch [4][1550/7390] lr: 1.000e-02, eta: 13:51:30, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8224, losses_bboxes: 0.4656, loss: 8.2880 2022-11-02 22:02:05,852 - mmdet - INFO - Epoch [4][1600/7390] lr: 1.000e-02, eta: 13:50:49, time: 0.751, data_time: 0.008, memory: 43096, loss_cls: 7.8217, losses_bboxes: 0.4668, loss: 8.2884 2022-11-02 22:02:44,021 - mmdet - INFO - Epoch [4][1650/7390] lr: 1.000e-02, eta: 13:50:10, time: 0.763, data_time: 0.009, memory: 43096, loss_cls: 7.8318, losses_bboxes: 0.4662, loss: 8.2980 2022-11-02 22:03:22,642 - mmdet - INFO - Epoch [4][1700/7390] lr: 1.000e-02, eta: 13:49:33, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8137, losses_bboxes: 0.4669, loss: 8.2806 2022-11-02 22:04:01,176 - mmdet - INFO - Epoch [4][1750/7390] lr: 1.000e-02, eta: 13:48:55, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8257, losses_bboxes: 0.4672, loss: 8.2928 2022-11-02 22:04:40,438 - mmdet - INFO - Epoch [4][1800/7390] lr: 1.000e-02, eta: 13:48:18, time: 0.785, data_time: 0.009, memory: 43096, loss_cls: 7.8255, losses_bboxes: 0.4664, loss: 8.2920 2022-11-02 22:05:19,202 - mmdet - INFO - Epoch [4][1850/7390] lr: 1.000e-02, eta: 13:47:41, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8191, losses_bboxes: 0.4673, loss: 8.2864 2022-11-02 22:05:57,968 - mmdet - INFO - Epoch [4][1900/7390] lr: 1.000e-02, eta: 13:47:04, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8196, losses_bboxes: 0.4684, loss: 8.2879 2022-11-02 22:06:37,190 - mmdet - INFO - Epoch [4][1950/7390] lr: 1.000e-02, eta: 13:46:27, time: 0.784, data_time: 0.008, memory: 43096, loss_cls: 7.8222, losses_bboxes: 0.4675, loss: 8.2897 2022-11-02 22:07:16,148 - mmdet - INFO - Epoch [4][2000/7390] lr: 1.000e-02, eta: 13:45:50, time: 0.779, data_time: 0.008, memory: 43096, loss_cls: 7.8201, losses_bboxes: 0.4663, loss: 8.2864 2022-11-02 22:07:54,332 - mmdet - INFO - Epoch [4][2050/7390] lr: 1.000e-02, eta: 13:45:11, time: 0.764, data_time: 0.008, memory: 43096, loss_cls: 7.8182, losses_bboxes: 0.4665, loss: 8.2848 2022-11-02 22:08:32,865 - mmdet - INFO - Epoch [4][2100/7390] lr: 1.000e-02, eta: 13:44:33, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8216, losses_bboxes: 0.4686, loss: 8.2902 2022-11-02 22:09:11,277 - mmdet - INFO - Epoch [4][2150/7390] lr: 1.000e-02, eta: 13:43:55, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8188, losses_bboxes: 0.4652, loss: 8.2840 2022-11-02 22:09:49,398 - mmdet - INFO - Epoch [4][2200/7390] lr: 1.000e-02, eta: 13:43:16, time: 0.762, data_time: 0.009, memory: 43096, loss_cls: 7.8197, losses_bboxes: 0.4657, loss: 8.2855 2022-11-02 22:10:27,665 - mmdet - INFO - Epoch [4][2250/7390] lr: 1.000e-02, eta: 13:42:37, time: 0.765, data_time: 0.009, memory: 43096, loss_cls: 7.8274, losses_bboxes: 0.4668, loss: 8.2942 2022-11-02 22:11:06,265 - mmdet - INFO - Epoch [4][2300/7390] lr: 1.000e-02, eta: 13:41:59, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8207, losses_bboxes: 0.4671, loss: 8.2878 2022-11-02 22:11:44,367 - mmdet - INFO - Epoch [4][2350/7390] lr: 1.000e-02, eta: 13:41:20, time: 0.762, data_time: 0.008, memory: 43096, loss_cls: 7.8201, losses_bboxes: 0.4662, loss: 8.2863 2022-11-02 22:12:23,220 - mmdet - INFO - Epoch [4][2400/7390] lr: 1.000e-02, eta: 13:40:43, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8222, losses_bboxes: 0.4663, loss: 8.2884 2022-11-02 22:13:02,066 - mmdet - INFO - Epoch [4][2450/7390] lr: 1.000e-02, eta: 13:40:06, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8280, losses_bboxes: 0.4669, loss: 8.2949 2022-11-02 22:13:41,049 - mmdet - INFO - Epoch [4][2500/7390] lr: 1.000e-02, eta: 13:39:29, time: 0.780, data_time: 0.009, memory: 43096, loss_cls: 7.8188, losses_bboxes: 0.4682, loss: 8.2870 2022-11-02 22:14:19,125 - mmdet - INFO - Epoch [4][2550/7390] lr: 1.000e-02, eta: 13:38:49, time: 0.762, data_time: 0.009, memory: 43096, loss_cls: 7.8164, losses_bboxes: 0.4649, loss: 8.2813 2022-11-02 22:14:57,713 - mmdet - INFO - Epoch [4][2600/7390] lr: 1.000e-02, eta: 13:38:11, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8084, losses_bboxes: 0.4662, loss: 8.2746 2022-11-02 22:15:36,711 - mmdet - INFO - Epoch [4][2650/7390] lr: 1.000e-02, eta: 13:37:34, time: 0.780, data_time: 0.009, memory: 43096, loss_cls: 7.8229, losses_bboxes: 0.4668, loss: 8.2897 2022-11-02 22:16:15,644 - mmdet - INFO - Epoch [4][2700/7390] lr: 1.000e-02, eta: 13:36:57, time: 0.779, data_time: 0.009, memory: 43096, loss_cls: 7.8236, losses_bboxes: 0.4673, loss: 8.2909 2022-11-02 22:16:54,034 - mmdet - INFO - Epoch [4][2750/7390] lr: 1.000e-02, eta: 13:36:19, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8233, losses_bboxes: 0.4632, loss: 8.2864 2022-11-02 22:17:32,569 - mmdet - INFO - Epoch [4][2800/7390] lr: 1.000e-02, eta: 13:35:41, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8122, losses_bboxes: 0.4660, loss: 8.2782 2022-11-02 22:18:10,732 - mmdet - INFO - Epoch [4][2850/7390] lr: 1.000e-02, eta: 13:35:02, time: 0.763, data_time: 0.009, memory: 43096, loss_cls: 7.8160, losses_bboxes: 0.4662, loss: 8.2822 2022-11-02 22:18:49,475 - mmdet - INFO - Epoch [4][2900/7390] lr: 1.000e-02, eta: 13:34:24, time: 0.775, data_time: 0.008, memory: 43096, loss_cls: 7.8214, losses_bboxes: 0.4663, loss: 8.2876 2022-11-02 22:19:28,236 - mmdet - INFO - Epoch [4][2950/7390] lr: 1.000e-02, eta: 13:33:47, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8324, losses_bboxes: 0.4670, loss: 8.2994 2022-11-02 22:20:07,031 - mmdet - INFO - Epoch [4][3000/7390] lr: 1.000e-02, eta: 13:33:09, time: 0.776, data_time: 0.009, memory: 43096, loss_cls: 7.8314, losses_bboxes: 0.4646, loss: 8.2960 2022-11-02 22:20:45,650 - mmdet - INFO - Epoch [4][3050/7390] lr: 1.000e-02, eta: 13:32:31, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8220, losses_bboxes: 0.4669, loss: 8.2889 2022-11-02 22:21:24,031 - mmdet - INFO - Epoch [4][3100/7390] lr: 1.000e-02, eta: 13:31:53, time: 0.768, data_time: 0.008, memory: 43096, loss_cls: 7.8199, losses_bboxes: 0.4667, loss: 8.2866 2022-11-02 22:22:02,594 - mmdet - INFO - Epoch [4][3150/7390] lr: 1.000e-02, eta: 13:31:15, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8195, losses_bboxes: 0.4654, loss: 8.2850 2022-11-02 22:22:41,085 - mmdet - INFO - Epoch [4][3200/7390] lr: 1.000e-02, eta: 13:30:37, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8157, losses_bboxes: 0.4662, loss: 8.2819 2022-11-02 22:23:19,901 - mmdet - INFO - Epoch [4][3250/7390] lr: 1.000e-02, eta: 13:29:59, time: 0.776, data_time: 0.009, memory: 43096, loss_cls: 7.8269, losses_bboxes: 0.4671, loss: 8.2940 2022-11-02 22:23:58,993 - mmdet - INFO - Epoch [4][3300/7390] lr: 1.000e-02, eta: 13:29:23, time: 0.782, data_time: 0.009, memory: 43096, loss_cls: 7.8213, losses_bboxes: 0.4678, loss: 8.2890 2022-11-02 22:24:38,112 - mmdet - INFO - Epoch [4][3350/7390] lr: 1.000e-02, eta: 13:28:46, time: 0.782, data_time: 0.009, memory: 43096, loss_cls: 7.8054, losses_bboxes: 0.4658, loss: 8.2712 2022-11-02 22:25:16,022 - mmdet - INFO - Epoch [4][3400/7390] lr: 1.000e-02, eta: 13:28:06, time: 0.758, data_time: 0.009, memory: 43096, loss_cls: 7.8228, losses_bboxes: 0.4673, loss: 8.2900 2022-11-02 22:25:53,733 - mmdet - INFO - Epoch [4][3450/7390] lr: 1.000e-02, eta: 13:27:26, time: 0.754, data_time: 0.009, memory: 43096, loss_cls: 7.8210, losses_bboxes: 0.4651, loss: 8.2860 2022-11-02 22:26:31,967 - mmdet - INFO - Epoch [4][3500/7390] lr: 1.000e-02, eta: 13:26:47, time: 0.765, data_time: 0.008, memory: 43096, loss_cls: 7.8315, losses_bboxes: 0.4657, loss: 8.2972 2022-11-02 22:27:10,761 - mmdet - INFO - Epoch [4][3550/7390] lr: 1.000e-02, eta: 13:26:10, time: 0.776, data_time: 0.009, memory: 43096, loss_cls: 7.8250, losses_bboxes: 0.4662, loss: 8.2912 2022-11-02 22:27:49,660 - mmdet - INFO - Epoch [4][3600/7390] lr: 1.000e-02, eta: 13:25:33, time: 0.778, data_time: 0.008, memory: 43096, loss_cls: 7.8199, losses_bboxes: 0.4667, loss: 8.2866 2022-11-02 22:28:28,212 - mmdet - INFO - Epoch [4][3650/7390] lr: 1.000e-02, eta: 13:24:54, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8205, losses_bboxes: 0.4656, loss: 8.2860 2022-11-02 22:29:06,997 - mmdet - INFO - Epoch [4][3700/7390] lr: 1.000e-02, eta: 13:24:17, time: 0.776, data_time: 0.008, memory: 43096, loss_cls: 7.8194, losses_bboxes: 0.4659, loss: 8.2852 2022-11-02 22:29:44,962 - mmdet - INFO - Epoch [4][3750/7390] lr: 1.000e-02, eta: 13:23:37, time: 0.759, data_time: 0.009, memory: 43096, loss_cls: 7.8174, losses_bboxes: 0.4663, loss: 8.2837 2022-11-02 22:30:22,888 - mmdet - INFO - Epoch [4][3800/7390] lr: 1.000e-02, eta: 13:22:58, time: 0.759, data_time: 0.009, memory: 43096, loss_cls: 7.8312, losses_bboxes: 0.4651, loss: 8.2963 2022-11-02 22:31:00,721 - mmdet - INFO - Epoch [4][3850/7390] lr: 1.000e-02, eta: 13:22:18, time: 0.757, data_time: 0.009, memory: 43096, loss_cls: 7.8184, losses_bboxes: 0.4650, loss: 8.2834 2022-11-02 22:31:39,719 - mmdet - INFO - Epoch [4][3900/7390] lr: 1.000e-02, eta: 13:21:41, time: 0.780, data_time: 0.009, memory: 43096, loss_cls: 7.8153, losses_bboxes: 0.4673, loss: 8.2826 2022-11-02 22:32:17,579 - mmdet - INFO - Epoch [4][3950/7390] lr: 1.000e-02, eta: 13:21:01, time: 0.757, data_time: 0.009, memory: 43096, loss_cls: 7.8149, losses_bboxes: 0.4663, loss: 8.2812 2022-11-02 22:32:56,194 - mmdet - INFO - Epoch [4][4000/7390] lr: 1.000e-02, eta: 13:20:23, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8179, losses_bboxes: 0.4649, loss: 8.2828 2022-11-02 22:33:35,231 - mmdet - INFO - Epoch [4][4050/7390] lr: 1.000e-02, eta: 13:19:46, time: 0.781, data_time: 0.009, memory: 43096, loss_cls: 7.8226, losses_bboxes: 0.4645, loss: 8.2871 2022-11-02 22:34:13,840 - mmdet - INFO - Epoch [4][4100/7390] lr: 1.000e-02, eta: 13:19:08, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8168, losses_bboxes: 0.4673, loss: 8.2841 2022-11-02 22:34:52,080 - mmdet - INFO - Epoch [4][4150/7390] lr: 1.000e-02, eta: 13:18:30, time: 0.765, data_time: 0.009, memory: 43096, loss_cls: 7.8184, losses_bboxes: 0.4663, loss: 8.2847 2022-11-02 22:35:30,343 - mmdet - INFO - Epoch [4][4200/7390] lr: 1.000e-02, eta: 13:17:51, time: 0.765, data_time: 0.009, memory: 43096, loss_cls: 7.8234, losses_bboxes: 0.4661, loss: 8.2894 2022-11-02 22:36:08,794 - mmdet - INFO - Epoch [4][4250/7390] lr: 1.000e-02, eta: 13:17:13, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8221, losses_bboxes: 0.4655, loss: 8.2876 2022-11-02 22:36:46,729 - mmdet - INFO - Epoch [4][4300/7390] lr: 1.000e-02, eta: 13:16:33, time: 0.759, data_time: 0.008, memory: 43096, loss_cls: 7.8188, losses_bboxes: 0.4661, loss: 8.2848 2022-11-02 22:37:25,151 - mmdet - INFO - Epoch [4][4350/7390] lr: 1.000e-02, eta: 13:15:55, time: 0.768, data_time: 0.008, memory: 43096, loss_cls: 7.8200, losses_bboxes: 0.4642, loss: 8.2842 2022-11-02 22:38:03,623 - mmdet - INFO - Epoch [4][4400/7390] lr: 1.000e-02, eta: 13:15:16, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8105, losses_bboxes: 0.4631, loss: 8.2735 2022-11-02 22:38:41,712 - mmdet - INFO - Epoch [4][4450/7390] lr: 1.000e-02, eta: 13:14:37, time: 0.762, data_time: 0.009, memory: 43096, loss_cls: 7.8203, losses_bboxes: 0.4639, loss: 8.2842 2022-11-02 22:39:20,574 - mmdet - INFO - Epoch [4][4500/7390] lr: 1.000e-02, eta: 13:14:00, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8202, losses_bboxes: 0.4663, loss: 8.2866 2022-11-02 22:39:58,571 - mmdet - INFO - Epoch [4][4550/7390] lr: 1.000e-02, eta: 13:13:20, time: 0.760, data_time: 0.009, memory: 43096, loss_cls: 7.8234, losses_bboxes: 0.4647, loss: 8.2881 2022-11-02 22:40:36,967 - mmdet - INFO - Epoch [4][4600/7390] lr: 1.000e-02, eta: 13:12:42, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8185, losses_bboxes: 0.4654, loss: 8.2839 2022-11-02 22:41:15,587 - mmdet - INFO - Epoch [4][4650/7390] lr: 1.000e-02, eta: 13:12:04, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8156, losses_bboxes: 0.4641, loss: 8.2797 2022-11-02 22:41:54,567 - mmdet - INFO - Epoch [4][4700/7390] lr: 1.000e-02, eta: 13:11:27, time: 0.780, data_time: 0.009, memory: 43096, loss_cls: 7.8141, losses_bboxes: 0.4660, loss: 8.2802 2022-11-02 22:42:33,976 - mmdet - INFO - Epoch [4][4750/7390] lr: 1.000e-02, eta: 13:10:51, time: 0.788, data_time: 0.009, memory: 43096, loss_cls: 7.8143, losses_bboxes: 0.4678, loss: 8.2821 2022-11-02 22:43:12,479 - mmdet - INFO - Epoch [4][4800/7390] lr: 1.000e-02, eta: 13:10:13, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8108, losses_bboxes: 0.4653, loss: 8.2761 2022-11-02 22:43:50,850 - mmdet - INFO - Epoch [4][4850/7390] lr: 1.000e-02, eta: 13:09:34, time: 0.767, data_time: 0.009, memory: 43096, loss_cls: 7.8253, losses_bboxes: 0.4645, loss: 8.2898 2022-11-02 22:44:29,713 - mmdet - INFO - Epoch [4][4900/7390] lr: 1.000e-02, eta: 13:08:57, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8176, losses_bboxes: 0.4647, loss: 8.2824 2022-11-02 22:45:08,639 - mmdet - INFO - Epoch [4][4950/7390] lr: 1.000e-02, eta: 13:08:19, time: 0.779, data_time: 0.009, memory: 43096, loss_cls: 7.8185, losses_bboxes: 0.4664, loss: 8.2849 2022-11-02 22:45:47,194 - mmdet - INFO - Epoch [4][5000/7390] lr: 1.000e-02, eta: 13:07:41, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8324, losses_bboxes: 0.4642, loss: 8.2967 2022-11-02 22:46:25,367 - mmdet - INFO - Epoch [4][5050/7390] lr: 1.000e-02, eta: 13:07:02, time: 0.763, data_time: 0.008, memory: 43096, loss_cls: 7.8116, losses_bboxes: 0.4653, loss: 8.2770 2022-11-02 22:47:03,796 - mmdet - INFO - Epoch [4][5100/7390] lr: 1.000e-02, eta: 13:06:24, time: 0.769, data_time: 0.008, memory: 43096, loss_cls: 7.8128, losses_bboxes: 0.4644, loss: 8.2772 2022-11-02 22:47:41,454 - mmdet - INFO - Epoch [4][5150/7390] lr: 1.000e-02, eta: 13:05:44, time: 0.753, data_time: 0.009, memory: 43096, loss_cls: 7.8250, losses_bboxes: 0.4657, loss: 8.2907 2022-11-02 22:48:20,285 - mmdet - INFO - Epoch [4][5200/7390] lr: 1.000e-02, eta: 13:05:06, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8306, losses_bboxes: 0.4657, loss: 8.2963 2022-11-02 22:48:58,740 - mmdet - INFO - Epoch [4][5250/7390] lr: 1.000e-02, eta: 13:04:28, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8184, losses_bboxes: 0.4656, loss: 8.2840 2022-11-02 22:49:36,977 - mmdet - INFO - Epoch [4][5300/7390] lr: 1.000e-02, eta: 13:03:49, time: 0.765, data_time: 0.009, memory: 43096, loss_cls: 7.8137, losses_bboxes: 0.4644, loss: 8.2781 2022-11-02 22:50:15,497 - mmdet - INFO - Epoch [4][5350/7390] lr: 1.000e-02, eta: 13:03:11, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8155, losses_bboxes: 0.4648, loss: 8.2803 2022-11-02 22:50:54,114 - mmdet - INFO - Epoch [4][5400/7390] lr: 1.000e-02, eta: 13:02:33, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8213, losses_bboxes: 0.4650, loss: 8.2862 2022-11-02 22:51:32,597 - mmdet - INFO - Epoch [4][5450/7390] lr: 1.000e-02, eta: 13:01:55, time: 0.770, data_time: 0.008, memory: 43096, loss_cls: 7.8182, losses_bboxes: 0.4656, loss: 8.2838 2022-11-02 22:52:11,001 - mmdet - INFO - Epoch [4][5500/7390] lr: 1.000e-02, eta: 13:01:16, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8201, losses_bboxes: 0.4653, loss: 8.2854 2022-11-02 22:52:49,718 - mmdet - INFO - Epoch [4][5550/7390] lr: 1.000e-02, eta: 13:00:39, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8187, losses_bboxes: 0.4649, loss: 8.2836 2022-11-02 22:53:28,412 - mmdet - INFO - Epoch [4][5600/7390] lr: 1.000e-02, eta: 13:00:01, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8103, losses_bboxes: 0.4628, loss: 8.2732 2022-11-02 22:54:06,315 - mmdet - INFO - Epoch [4][5650/7390] lr: 1.000e-02, eta: 12:59:21, time: 0.758, data_time: 0.009, memory: 43096, loss_cls: 7.8061, losses_bboxes: 0.4639, loss: 8.2700 2022-11-02 22:54:44,790 - mmdet - INFO - Epoch [4][5700/7390] lr: 1.000e-02, eta: 12:58:43, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8093, losses_bboxes: 0.4660, loss: 8.2753 2022-11-02 22:55:24,177 - mmdet - INFO - Epoch [4][5750/7390] lr: 1.000e-02, eta: 12:58:07, time: 0.788, data_time: 0.009, memory: 43096, loss_cls: 7.8120, losses_bboxes: 0.4653, loss: 8.2773 2022-11-02 22:56:02,595 - mmdet - INFO - Epoch [4][5800/7390] lr: 1.000e-02, eta: 12:57:28, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8167, losses_bboxes: 0.4637, loss: 8.2804 2022-11-02 22:56:40,911 - mmdet - INFO - Epoch [4][5850/7390] lr: 1.000e-02, eta: 12:56:49, time: 0.766, data_time: 0.009, memory: 43096, loss_cls: 7.8176, losses_bboxes: 0.4641, loss: 8.2817 2022-11-02 22:57:19,189 - mmdet - INFO - Epoch [4][5900/7390] lr: 1.000e-02, eta: 12:56:11, time: 0.766, data_time: 0.009, memory: 43096, loss_cls: 7.8167, losses_bboxes: 0.4654, loss: 8.2821 2022-11-02 22:57:57,936 - mmdet - INFO - Epoch [4][5950/7390] lr: 1.000e-02, eta: 12:55:33, time: 0.775, data_time: 0.008, memory: 43096, loss_cls: 7.8264, losses_bboxes: 0.4650, loss: 8.2914 2022-11-02 22:58:36,045 - mmdet - INFO - Epoch [4][6000/7390] lr: 1.000e-02, eta: 12:54:54, time: 0.762, data_time: 0.008, memory: 43096, loss_cls: 7.8237, losses_bboxes: 0.4640, loss: 8.2877 2022-11-02 22:59:14,058 - mmdet - INFO - Epoch [4][6050/7390] lr: 1.000e-02, eta: 12:54:15, time: 0.760, data_time: 0.009, memory: 43096, loss_cls: 7.8184, losses_bboxes: 0.4631, loss: 8.2815 2022-11-02 22:59:52,450 - mmdet - INFO - Epoch [4][6100/7390] lr: 1.000e-02, eta: 12:53:36, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8272, losses_bboxes: 0.4656, loss: 8.2928 2022-11-02 23:00:31,484 - mmdet - INFO - Epoch [4][6150/7390] lr: 1.000e-02, eta: 12:52:59, time: 0.781, data_time: 0.009, memory: 43096, loss_cls: 7.8150, losses_bboxes: 0.4652, loss: 8.2803 2022-11-02 23:01:09,585 - mmdet - INFO - Epoch [4][6200/7390] lr: 1.000e-02, eta: 12:52:20, time: 0.762, data_time: 0.009, memory: 43096, loss_cls: 7.8263, losses_bboxes: 0.4625, loss: 8.2887 2022-11-02 23:01:48,514 - mmdet - INFO - Epoch [4][6250/7390] lr: 1.000e-02, eta: 12:51:43, time: 0.779, data_time: 0.009, memory: 43096, loss_cls: 7.8084, losses_bboxes: 0.4637, loss: 8.2721 2022-11-02 23:02:26,889 - mmdet - INFO - Epoch [4][6300/7390] lr: 1.000e-02, eta: 12:51:04, time: 0.767, data_time: 0.009, memory: 43096, loss_cls: 7.8215, losses_bboxes: 0.4658, loss: 8.2873 2022-11-02 23:03:05,594 - mmdet - INFO - Epoch [4][6350/7390] lr: 1.000e-02, eta: 12:50:26, time: 0.774, data_time: 0.008, memory: 43096, loss_cls: 7.8170, losses_bboxes: 0.4659, loss: 8.2828 2022-11-02 23:03:44,467 - mmdet - INFO - Epoch [4][6400/7390] lr: 1.000e-02, eta: 12:49:49, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8172, losses_bboxes: 0.4646, loss: 8.2819 2022-11-02 23:04:22,987 - mmdet - INFO - Epoch [4][6450/7390] lr: 1.000e-02, eta: 12:49:11, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8130, losses_bboxes: 0.4664, loss: 8.2794 2022-11-02 23:05:01,616 - mmdet - INFO - Epoch [4][6500/7390] lr: 1.000e-02, eta: 12:48:33, time: 0.773, data_time: 0.008, memory: 43096, loss_cls: 7.8209, losses_bboxes: 0.4662, loss: 8.2871 2022-11-02 23:05:40,495 - mmdet - INFO - Epoch [4][6550/7390] lr: 1.000e-02, eta: 12:47:55, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8180, losses_bboxes: 0.4644, loss: 8.2825 2022-11-02 23:06:19,139 - mmdet - INFO - Epoch [4][6600/7390] lr: 1.000e-02, eta: 12:47:17, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8099, losses_bboxes: 0.4653, loss: 8.2752 2022-11-02 23:06:57,680 - mmdet - INFO - Epoch [4][6650/7390] lr: 1.000e-02, eta: 12:46:39, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8188, losses_bboxes: 0.4648, loss: 8.2836 2022-11-02 23:07:35,933 - mmdet - INFO - Epoch [4][6700/7390] lr: 1.000e-02, eta: 12:46:00, time: 0.765, data_time: 0.008, memory: 43096, loss_cls: 7.8195, losses_bboxes: 0.4628, loss: 8.2823 2022-11-02 23:08:14,396 - mmdet - INFO - Epoch [4][6750/7390] lr: 1.000e-02, eta: 12:45:22, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8126, losses_bboxes: 0.4651, loss: 8.2777 2022-11-02 23:08:52,840 - mmdet - INFO - Epoch [4][6800/7390] lr: 1.000e-02, eta: 12:44:44, time: 0.769, data_time: 0.008, memory: 43096, loss_cls: 7.8145, losses_bboxes: 0.4648, loss: 8.2793 2022-11-02 23:09:31,153 - mmdet - INFO - Epoch [4][6850/7390] lr: 1.000e-02, eta: 12:44:05, time: 0.766, data_time: 0.009, memory: 43096, loss_cls: 7.8162, losses_bboxes: 0.4651, loss: 8.2813 2022-11-02 23:10:09,039 - mmdet - INFO - Epoch [4][6900/7390] lr: 1.000e-02, eta: 12:43:25, time: 0.758, data_time: 0.009, memory: 43096, loss_cls: 7.8212, losses_bboxes: 0.4633, loss: 8.2845 2022-11-02 23:10:47,246 - mmdet - INFO - Epoch [4][6950/7390] lr: 1.000e-02, eta: 12:42:47, time: 0.764, data_time: 0.009, memory: 43096, loss_cls: 7.8121, losses_bboxes: 0.4639, loss: 8.2760 2022-11-02 23:11:25,851 - mmdet - INFO - Epoch [4][7000/7390] lr: 1.000e-02, eta: 12:42:08, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8135, losses_bboxes: 0.4635, loss: 8.2770 2022-11-02 23:12:04,712 - mmdet - INFO - Epoch [4][7050/7390] lr: 1.000e-02, eta: 12:41:31, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8087, losses_bboxes: 0.4638, loss: 8.2725 2022-11-02 23:12:43,397 - mmdet - INFO - Epoch [4][7100/7390] lr: 1.000e-02, eta: 12:40:53, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8183, losses_bboxes: 0.4649, loss: 8.2832 2022-11-02 23:13:22,185 - mmdet - INFO - Epoch [4][7150/7390] lr: 1.000e-02, eta: 12:40:15, time: 0.776, data_time: 0.008, memory: 43096, loss_cls: 7.8095, losses_bboxes: 0.4629, loss: 8.2724 2022-11-02 23:13:59,515 - mmdet - INFO - Epoch [4][7200/7390] lr: 1.000e-02, eta: 12:39:35, time: 0.747, data_time: 0.009, memory: 43096, loss_cls: 7.8180, losses_bboxes: 0.4645, loss: 8.2825 2022-11-02 23:14:38,475 - mmdet - INFO - Epoch [4][7250/7390] lr: 1.000e-02, eta: 12:38:57, time: 0.779, data_time: 0.009, memory: 43096, loss_cls: 7.8166, losses_bboxes: 0.4630, loss: 8.2797 2022-11-02 23:15:16,867 - mmdet - INFO - Epoch [4][7300/7390] lr: 1.000e-02, eta: 12:38:19, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8172, losses_bboxes: 0.4649, loss: 8.2821 2022-11-02 23:15:55,481 - mmdet - INFO - Epoch [4][7350/7390] lr: 1.000e-02, eta: 12:37:41, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8168, losses_bboxes: 0.4642, loss: 8.2810 2022-11-02 23:16:26,314 - mmdet - INFO - Saving checkpoint at 4 epochs 2022-11-02 23:17:08,384 - mmdet - INFO - Epoch [5][50/7390] lr: 1.000e-02, eta: 12:35:36, time: 0.821, data_time: 0.069, memory: 43096, loss_cls: 7.8147, losses_bboxes: 0.4639, loss: 8.2786 2022-11-02 23:17:46,669 - mmdet - INFO - Epoch [5][100/7390] lr: 1.000e-02, eta: 12:34:57, time: 0.766, data_time: 0.008, memory: 43096, loss_cls: 7.8182, losses_bboxes: 0.4630, loss: 8.2812 2022-11-02 23:18:24,237 - mmdet - INFO - Epoch [5][150/7390] lr: 1.000e-02, eta: 12:34:17, time: 0.751, data_time: 0.008, memory: 43096, loss_cls: 7.8130, losses_bboxes: 0.4635, loss: 8.2765 2022-11-02 23:19:02,603 - mmdet - INFO - Epoch [5][200/7390] lr: 1.000e-02, eta: 12:33:39, time: 0.767, data_time: 0.008, memory: 43096, loss_cls: 7.8137, losses_bboxes: 0.4623, loss: 8.2760 2022-11-02 23:19:41,285 - mmdet - INFO - Epoch [5][250/7390] lr: 1.000e-02, eta: 12:33:01, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8173, losses_bboxes: 0.4657, loss: 8.2831 2022-11-02 23:20:19,677 - mmdet - INFO - Epoch [5][300/7390] lr: 1.000e-02, eta: 12:32:23, time: 0.768, data_time: 0.008, memory: 43096, loss_cls: 7.8104, losses_bboxes: 0.4646, loss: 8.2750 2022-11-02 23:20:58,011 - mmdet - INFO - Epoch [5][350/7390] lr: 1.000e-02, eta: 12:31:44, time: 0.767, data_time: 0.008, memory: 43096, loss_cls: 7.8247, losses_bboxes: 0.4637, loss: 8.2884 2022-11-02 23:21:36,759 - mmdet - INFO - Epoch [5][400/7390] lr: 1.000e-02, eta: 12:31:07, time: 0.775, data_time: 0.008, memory: 43096, loss_cls: 7.8108, losses_bboxes: 0.4644, loss: 8.2752 2022-11-02 23:22:15,921 - mmdet - INFO - Epoch [5][450/7390] lr: 1.000e-02, eta: 12:30:30, time: 0.783, data_time: 0.009, memory: 43096, loss_cls: 7.8253, losses_bboxes: 0.4630, loss: 8.2883 2022-11-02 23:22:54,230 - mmdet - INFO - Epoch [5][500/7390] lr: 1.000e-02, eta: 12:29:51, time: 0.766, data_time: 0.009, memory: 43096, loss_cls: 7.8087, losses_bboxes: 0.4653, loss: 8.2740 2022-11-02 23:23:32,750 - mmdet - INFO - Epoch [5][550/7390] lr: 1.000e-02, eta: 12:29:13, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8141, losses_bboxes: 0.4622, loss: 8.2763 2022-11-02 23:24:11,762 - mmdet - INFO - Epoch [5][600/7390] lr: 1.000e-02, eta: 12:28:36, time: 0.780, data_time: 0.009, memory: 43096, loss_cls: 7.8147, losses_bboxes: 0.4634, loss: 8.2781 2022-11-02 23:24:50,340 - mmdet - INFO - Epoch [5][650/7390] lr: 1.000e-02, eta: 12:27:58, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8251, losses_bboxes: 0.4651, loss: 8.2902 2022-11-02 23:25:29,221 - mmdet - INFO - Epoch [5][700/7390] lr: 1.000e-02, eta: 12:27:21, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8137, losses_bboxes: 0.4633, loss: 8.2770 2022-11-02 23:26:06,888 - mmdet - INFO - Epoch [5][750/7390] lr: 1.000e-02, eta: 12:26:41, time: 0.753, data_time: 0.009, memory: 43096, loss_cls: 7.8255, losses_bboxes: 0.4645, loss: 8.2900 2022-11-02 23:26:45,908 - mmdet - INFO - Epoch [5][800/7390] lr: 1.000e-02, eta: 12:26:04, time: 0.780, data_time: 0.009, memory: 43096, loss_cls: 7.8148, losses_bboxes: 0.4637, loss: 8.2785 2022-11-02 23:27:24,665 - mmdet - INFO - Epoch [5][850/7390] lr: 1.000e-02, eta: 12:25:26, time: 0.775, data_time: 0.008, memory: 43096, loss_cls: 7.8166, losses_bboxes: 0.4614, loss: 8.2780 2022-11-02 23:28:03,294 - mmdet - INFO - Epoch [5][900/7390] lr: 1.000e-02, eta: 12:24:48, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8125, losses_bboxes: 0.4630, loss: 8.2755 2022-11-02 23:28:41,644 - mmdet - INFO - Epoch [5][950/7390] lr: 1.000e-02, eta: 12:24:10, time: 0.767, data_time: 0.009, memory: 43096, loss_cls: 7.8184, losses_bboxes: 0.4633, loss: 8.2817 2022-11-02 23:29:20,559 - mmdet - INFO - Epoch [5][1000/7390] lr: 1.000e-02, eta: 12:23:32, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8212, losses_bboxes: 0.4647, loss: 8.2859 2022-11-02 23:29:59,067 - mmdet - INFO - Epoch [5][1050/7390] lr: 1.000e-02, eta: 12:22:54, time: 0.770, data_time: 0.008, memory: 43096, loss_cls: 7.8191, losses_bboxes: 0.4640, loss: 8.2831 2022-11-02 23:30:38,003 - mmdet - INFO - Epoch [5][1100/7390] lr: 1.000e-02, eta: 12:22:17, time: 0.779, data_time: 0.009, memory: 43096, loss_cls: 7.8099, losses_bboxes: 0.4621, loss: 8.2720 2022-11-02 23:31:16,738 - mmdet - INFO - Epoch [5][1150/7390] lr: 1.000e-02, eta: 12:21:39, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8087, losses_bboxes: 0.4637, loss: 8.2725 2022-11-02 23:31:54,999 - mmdet - INFO - Epoch [5][1200/7390] lr: 1.000e-02, eta: 12:21:01, time: 0.765, data_time: 0.009, memory: 43096, loss_cls: 7.8175, losses_bboxes: 0.4627, loss: 8.2802 2022-11-02 23:32:33,845 - mmdet - INFO - Epoch [5][1250/7390] lr: 1.000e-02, eta: 12:20:23, time: 0.777, data_time: 0.008, memory: 43096, loss_cls: 7.8079, losses_bboxes: 0.4635, loss: 8.2714 2022-11-02 23:33:12,590 - mmdet - INFO - Epoch [5][1300/7390] lr: 1.000e-02, eta: 12:19:45, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8121, losses_bboxes: 0.4629, loss: 8.2750 2022-11-02 23:33:50,672 - mmdet - INFO - Epoch [5][1350/7390] lr: 1.000e-02, eta: 12:19:06, time: 0.762, data_time: 0.009, memory: 43096, loss_cls: 7.8169, losses_bboxes: 0.4637, loss: 8.2806 2022-11-02 23:34:29,277 - mmdet - INFO - Epoch [5][1400/7390] lr: 1.000e-02, eta: 12:18:28, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8174, losses_bboxes: 0.4645, loss: 8.2819 2022-11-02 23:35:08,073 - mmdet - INFO - Epoch [5][1450/7390] lr: 1.000e-02, eta: 12:17:51, time: 0.776, data_time: 0.009, memory: 43096, loss_cls: 7.8213, losses_bboxes: 0.4635, loss: 8.2848 2022-11-02 23:35:46,972 - mmdet - INFO - Epoch [5][1500/7390] lr: 1.000e-02, eta: 12:17:13, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.7984, losses_bboxes: 0.4638, loss: 8.2622 2022-11-02 23:36:26,248 - mmdet - INFO - Epoch [5][1550/7390] lr: 1.000e-02, eta: 12:16:37, time: 0.786, data_time: 0.009, memory: 43096, loss_cls: 7.8181, losses_bboxes: 0.4633, loss: 8.2813 2022-11-02 23:37:04,107 - mmdet - INFO - Epoch [5][1600/7390] lr: 1.000e-02, eta: 12:15:57, time: 0.757, data_time: 0.009, memory: 43096, loss_cls: 7.8215, losses_bboxes: 0.4642, loss: 8.2857 2022-11-02 23:37:41,732 - mmdet - INFO - Epoch [5][1650/7390] lr: 1.000e-02, eta: 12:15:17, time: 0.752, data_time: 0.009, memory: 43096, loss_cls: 7.8201, losses_bboxes: 0.4614, loss: 8.2815 2022-11-02 23:38:20,223 - mmdet - INFO - Epoch [5][1700/7390] lr: 1.000e-02, eta: 12:14:39, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8082, losses_bboxes: 0.4626, loss: 8.2707 2022-11-02 23:38:58,676 - mmdet - INFO - Epoch [5][1750/7390] lr: 1.000e-02, eta: 12:14:01, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8145, losses_bboxes: 0.4636, loss: 8.2780 2022-11-02 23:39:37,302 - mmdet - INFO - Epoch [5][1800/7390] lr: 1.000e-02, eta: 12:13:23, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8167, losses_bboxes: 0.4622, loss: 8.2789 2022-11-02 23:40:15,469 - mmdet - INFO - Epoch [5][1850/7390] lr: 1.000e-02, eta: 12:12:44, time: 0.763, data_time: 0.009, memory: 43096, loss_cls: 7.8055, losses_bboxes: 0.4611, loss: 8.2666 2022-11-02 23:40:53,605 - mmdet - INFO - Epoch [5][1900/7390] lr: 1.000e-02, eta: 12:12:05, time: 0.763, data_time: 0.009, memory: 43096, loss_cls: 7.8191, losses_bboxes: 0.4626, loss: 8.2817 2022-11-02 23:41:31,367 - mmdet - INFO - Epoch [5][1950/7390] lr: 1.000e-02, eta: 12:11:26, time: 0.755, data_time: 0.009, memory: 43096, loss_cls: 7.8136, losses_bboxes: 0.4630, loss: 8.2766 2022-11-02 23:42:09,897 - mmdet - INFO - Epoch [5][2000/7390] lr: 1.000e-02, eta: 12:10:48, time: 0.771, data_time: 0.008, memory: 43096, loss_cls: 7.8143, losses_bboxes: 0.4638, loss: 8.2781 2022-11-02 23:42:48,570 - mmdet - INFO - Epoch [5][2050/7390] lr: 1.000e-02, eta: 12:10:10, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8242, losses_bboxes: 0.4621, loss: 8.2863 2022-11-02 23:43:26,560 - mmdet - INFO - Epoch [5][2100/7390] lr: 1.000e-02, eta: 12:09:31, time: 0.760, data_time: 0.009, memory: 43096, loss_cls: 7.8158, losses_bboxes: 0.4648, loss: 8.2805 2022-11-02 23:44:05,368 - mmdet - INFO - Epoch [5][2150/7390] lr: 1.000e-02, eta: 12:08:53, time: 0.776, data_time: 0.008, memory: 43096, loss_cls: 7.8150, losses_bboxes: 0.4636, loss: 8.2786 2022-11-02 23:44:43,618 - mmdet - INFO - Epoch [5][2200/7390] lr: 1.000e-02, eta: 12:08:15, time: 0.765, data_time: 0.009, memory: 43096, loss_cls: 7.8153, losses_bboxes: 0.4638, loss: 8.2791 2022-11-02 23:45:22,623 - mmdet - INFO - Epoch [5][2250/7390] lr: 1.000e-02, eta: 12:07:37, time: 0.780, data_time: 0.009, memory: 43096, loss_cls: 7.8164, losses_bboxes: 0.4651, loss: 8.2814 2022-11-02 23:46:00,845 - mmdet - INFO - Epoch [5][2300/7390] lr: 1.000e-02, eta: 12:06:59, time: 0.764, data_time: 0.009, memory: 43096, loss_cls: 7.8052, losses_bboxes: 0.4646, loss: 8.2697 2022-11-02 23:46:38,470 - mmdet - INFO - Epoch [5][2350/7390] lr: 1.000e-02, eta: 12:06:19, time: 0.753, data_time: 0.009, memory: 43096, loss_cls: 7.8011, losses_bboxes: 0.4623, loss: 8.2633 2022-11-02 23:47:17,275 - mmdet - INFO - Epoch [5][2400/7390] lr: 1.000e-02, eta: 12:05:41, time: 0.776, data_time: 0.008, memory: 43096, loss_cls: 7.8121, losses_bboxes: 0.4637, loss: 8.2758 2022-11-02 23:47:56,652 - mmdet - INFO - Epoch [5][2450/7390] lr: 1.000e-02, eta: 12:05:05, time: 0.788, data_time: 0.009, memory: 43096, loss_cls: 7.8224, losses_bboxes: 0.4637, loss: 8.2862 2022-11-02 23:48:35,572 - mmdet - INFO - Epoch [5][2500/7390] lr: 1.000e-02, eta: 12:04:27, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8178, losses_bboxes: 0.4640, loss: 8.2818 2022-11-02 23:49:14,369 - mmdet - INFO - Epoch [5][2550/7390] lr: 1.000e-02, eta: 12:03:50, time: 0.776, data_time: 0.009, memory: 43096, loss_cls: 7.8119, losses_bboxes: 0.4626, loss: 8.2745 2022-11-02 23:49:53,041 - mmdet - INFO - Epoch [5][2600/7390] lr: 1.000e-02, eta: 12:03:12, time: 0.773, data_time: 0.008, memory: 43096, loss_cls: 7.8081, losses_bboxes: 0.4609, loss: 8.2690 2022-11-02 23:50:31,383 - mmdet - INFO - Epoch [5][2650/7390] lr: 1.000e-02, eta: 12:02:33, time: 0.767, data_time: 0.008, memory: 43096, loss_cls: 7.8213, losses_bboxes: 0.4630, loss: 8.2844 2022-11-02 23:51:10,288 - mmdet - INFO - Epoch [5][2700/7390] lr: 1.000e-02, eta: 12:01:56, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8116, losses_bboxes: 0.4622, loss: 8.2738 2022-11-02 23:51:49,174 - mmdet - INFO - Epoch [5][2750/7390] lr: 1.000e-02, eta: 12:01:18, time: 0.778, data_time: 0.008, memory: 43096, loss_cls: 7.8072, losses_bboxes: 0.4627, loss: 8.2699 2022-11-02 23:52:27,122 - mmdet - INFO - Epoch [5][2800/7390] lr: 1.000e-02, eta: 12:00:39, time: 0.759, data_time: 0.009, memory: 43096, loss_cls: 7.8111, losses_bboxes: 0.4627, loss: 8.2739 2022-11-02 23:53:05,402 - mmdet - INFO - Epoch [5][2850/7390] lr: 1.000e-02, eta: 12:00:01, time: 0.766, data_time: 0.008, memory: 43096, loss_cls: 7.8092, losses_bboxes: 0.4630, loss: 8.2723 2022-11-02 23:53:43,414 - mmdet - INFO - Epoch [5][2900/7390] lr: 1.000e-02, eta: 11:59:22, time: 0.760, data_time: 0.008, memory: 43096, loss_cls: 7.8223, losses_bboxes: 0.4641, loss: 8.2864 2022-11-02 23:54:21,948 - mmdet - INFO - Epoch [5][2950/7390] lr: 1.000e-02, eta: 11:58:43, time: 0.771, data_time: 0.008, memory: 43096, loss_cls: 7.8060, losses_bboxes: 0.4624, loss: 8.2683 2022-11-02 23:55:00,856 - mmdet - INFO - Epoch [5][3000/7390] lr: 1.000e-02, eta: 11:58:06, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8209, losses_bboxes: 0.4631, loss: 8.2840 2022-11-02 23:55:38,982 - mmdet - INFO - Epoch [5][3050/7390] lr: 1.000e-02, eta: 11:57:27, time: 0.763, data_time: 0.009, memory: 43096, loss_cls: 7.8195, losses_bboxes: 0.4647, loss: 8.2843 2022-11-02 23:56:17,156 - mmdet - INFO - Epoch [5][3100/7390] lr: 1.000e-02, eta: 11:56:48, time: 0.763, data_time: 0.008, memory: 43096, loss_cls: 7.8211, losses_bboxes: 0.4629, loss: 8.2840 2022-11-02 23:56:55,873 - mmdet - INFO - Epoch [5][3150/7390] lr: 1.000e-02, eta: 11:56:10, time: 0.774, data_time: 0.008, memory: 43096, loss_cls: 7.8148, losses_bboxes: 0.4633, loss: 8.2781 2022-11-02 23:57:34,463 - mmdet - INFO - Epoch [5][3200/7390] lr: 1.000e-02, eta: 11:55:32, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8141, losses_bboxes: 0.4637, loss: 8.2778 2022-11-02 23:58:12,382 - mmdet - INFO - Epoch [5][3250/7390] lr: 1.000e-02, eta: 11:54:53, time: 0.758, data_time: 0.008, memory: 43096, loss_cls: 7.8058, losses_bboxes: 0.4641, loss: 8.2699 2022-11-02 23:58:50,619 - mmdet - INFO - Epoch [5][3300/7390] lr: 1.000e-02, eta: 11:54:15, time: 0.765, data_time: 0.009, memory: 43096, loss_cls: 7.8011, losses_bboxes: 0.4618, loss: 8.2630 2022-11-02 23:59:29,378 - mmdet - INFO - Epoch [5][3350/7390] lr: 1.000e-02, eta: 11:53:37, time: 0.775, data_time: 0.008, memory: 43096, loss_cls: 7.8088, losses_bboxes: 0.4611, loss: 8.2699 2022-11-03 00:00:07,710 - mmdet - INFO - Epoch [5][3400/7390] lr: 1.000e-02, eta: 11:52:58, time: 0.767, data_time: 0.008, memory: 43096, loss_cls: 7.8191, losses_bboxes: 0.4634, loss: 8.2825 2022-11-03 00:00:46,942 - mmdet - INFO - Epoch [5][3450/7390] lr: 1.000e-02, eta: 11:52:21, time: 0.785, data_time: 0.009, memory: 43096, loss_cls: 7.8163, losses_bboxes: 0.4648, loss: 8.2812 2022-11-03 00:01:25,385 - mmdet - INFO - Epoch [5][3500/7390] lr: 1.000e-02, eta: 11:51:43, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8218, losses_bboxes: 0.4638, loss: 8.2855 2022-11-03 00:02:04,262 - mmdet - INFO - Epoch [5][3550/7390] lr: 1.000e-02, eta: 11:51:06, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8072, losses_bboxes: 0.4636, loss: 8.2708 2022-11-03 00:02:43,284 - mmdet - INFO - Epoch [5][3600/7390] lr: 1.000e-02, eta: 11:50:28, time: 0.780, data_time: 0.008, memory: 43096, loss_cls: 7.8166, losses_bboxes: 0.4635, loss: 8.2801 2022-11-03 00:03:21,952 - mmdet - INFO - Epoch [5][3650/7390] lr: 1.000e-02, eta: 11:49:50, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8199, losses_bboxes: 0.4642, loss: 8.2840 2022-11-03 00:04:00,356 - mmdet - INFO - Epoch [5][3700/7390] lr: 1.000e-02, eta: 11:49:12, time: 0.768, data_time: 0.008, memory: 43096, loss_cls: 7.8179, losses_bboxes: 0.4614, loss: 8.2793 2022-11-03 00:04:38,974 - mmdet - INFO - Epoch [5][3750/7390] lr: 1.000e-02, eta: 11:48:34, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8187, losses_bboxes: 0.4619, loss: 8.2805 2022-11-03 00:05:17,450 - mmdet - INFO - Epoch [5][3800/7390] lr: 1.000e-02, eta: 11:47:56, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8079, losses_bboxes: 0.4638, loss: 8.2718 2022-11-03 00:05:55,589 - mmdet - INFO - Epoch [5][3850/7390] lr: 1.000e-02, eta: 11:47:17, time: 0.763, data_time: 0.009, memory: 43096, loss_cls: 7.8091, losses_bboxes: 0.4618, loss: 8.2710 2022-11-03 00:06:34,660 - mmdet - INFO - Epoch [5][3900/7390] lr: 1.000e-02, eta: 11:46:40, time: 0.781, data_time: 0.009, memory: 43096, loss_cls: 7.8173, losses_bboxes: 0.4626, loss: 8.2798 2022-11-03 00:07:13,339 - mmdet - INFO - Epoch [5][3950/7390] lr: 1.000e-02, eta: 11:46:02, time: 0.774, data_time: 0.008, memory: 43096, loss_cls: 7.8114, losses_bboxes: 0.4633, loss: 8.2747 2022-11-03 00:07:52,198 - mmdet - INFO - Epoch [5][4000/7390] lr: 1.000e-02, eta: 11:45:24, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8123, losses_bboxes: 0.4637, loss: 8.2760 2022-11-03 00:08:31,185 - mmdet - INFO - Epoch [5][4050/7390] lr: 1.000e-02, eta: 11:44:47, time: 0.780, data_time: 0.009, memory: 43096, loss_cls: 7.8155, losses_bboxes: 0.4608, loss: 8.2762 2022-11-03 00:09:10,177 - mmdet - INFO - Epoch [5][4100/7390] lr: 1.000e-02, eta: 11:44:09, time: 0.780, data_time: 0.009, memory: 43096, loss_cls: 7.8123, losses_bboxes: 0.4631, loss: 8.2754 2022-11-03 00:09:48,592 - mmdet - INFO - Epoch [5][4150/7390] lr: 1.000e-02, eta: 11:43:31, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8137, losses_bboxes: 0.4621, loss: 8.2758 2022-11-03 00:10:27,711 - mmdet - INFO - Epoch [5][4200/7390] lr: 1.000e-02, eta: 11:42:54, time: 0.782, data_time: 0.009, memory: 43096, loss_cls: 7.8099, losses_bboxes: 0.4622, loss: 8.2721 2022-11-03 00:11:05,423 - mmdet - INFO - Epoch [5][4250/7390] lr: 1.000e-02, eta: 11:42:14, time: 0.754, data_time: 0.009, memory: 43096, loss_cls: 7.8201, losses_bboxes: 0.4619, loss: 8.2819 2022-11-03 00:11:44,314 - mmdet - INFO - Epoch [5][4300/7390] lr: 1.000e-02, eta: 11:41:37, time: 0.778, data_time: 0.008, memory: 43096, loss_cls: 7.8125, losses_bboxes: 0.4646, loss: 8.2771 2022-11-03 00:12:22,901 - mmdet - INFO - Epoch [5][4350/7390] lr: 1.000e-02, eta: 11:40:58, time: 0.772, data_time: 0.008, memory: 43096, loss_cls: 7.8312, losses_bboxes: 0.4624, loss: 8.2936 2022-11-03 00:13:00,803 - mmdet - INFO - Epoch [5][4400/7390] lr: 1.000e-02, eta: 11:40:19, time: 0.758, data_time: 0.008, memory: 43096, loss_cls: 7.8107, losses_bboxes: 0.4602, loss: 8.2709 2022-11-03 00:13:39,282 - mmdet - INFO - Epoch [5][4450/7390] lr: 1.000e-02, eta: 11:39:41, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8113, losses_bboxes: 0.4621, loss: 8.2734 2022-11-03 00:14:17,849 - mmdet - INFO - Epoch [5][4500/7390] lr: 1.000e-02, eta: 11:39:03, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8121, losses_bboxes: 0.4618, loss: 8.2739 2022-11-03 00:14:56,414 - mmdet - INFO - Epoch [5][4550/7390] lr: 1.000e-02, eta: 11:38:25, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8253, losses_bboxes: 0.4609, loss: 8.2862 2022-11-03 00:15:35,095 - mmdet - INFO - Epoch [5][4600/7390] lr: 1.000e-02, eta: 11:37:47, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8171, losses_bboxes: 0.4638, loss: 8.2809 2022-11-03 00:16:13,854 - mmdet - INFO - Epoch [5][4650/7390] lr: 1.000e-02, eta: 11:37:09, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8070, losses_bboxes: 0.4629, loss: 8.2699 2022-11-03 00:16:52,814 - mmdet - INFO - Epoch [5][4700/7390] lr: 1.000e-02, eta: 11:36:31, time: 0.779, data_time: 0.009, memory: 43096, loss_cls: 7.8085, losses_bboxes: 0.4628, loss: 8.2713 2022-11-03 00:17:32,040 - mmdet - INFO - Epoch [5][4750/7390] lr: 1.000e-02, eta: 11:35:54, time: 0.785, data_time: 0.009, memory: 43096, loss_cls: 7.8132, losses_bboxes: 0.4640, loss: 8.2773 2022-11-03 00:18:09,981 - mmdet - INFO - Epoch [5][4800/7390] lr: 1.000e-02, eta: 11:35:15, time: 0.759, data_time: 0.009, memory: 43096, loss_cls: 7.8054, losses_bboxes: 0.4612, loss: 8.2666 2022-11-03 00:18:48,395 - mmdet - INFO - Epoch [5][4850/7390] lr: 1.000e-02, eta: 11:34:37, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8137, losses_bboxes: 0.4609, loss: 8.2746 2022-11-03 00:19:27,279 - mmdet - INFO - Epoch [5][4900/7390] lr: 1.000e-02, eta: 11:33:59, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8116, losses_bboxes: 0.4627, loss: 8.2743 2022-11-03 00:20:05,663 - mmdet - INFO - Epoch [5][4950/7390] lr: 1.000e-02, eta: 11:33:21, time: 0.768, data_time: 0.008, memory: 43096, loss_cls: 7.8066, losses_bboxes: 0.4620, loss: 8.2687 2022-11-03 00:20:44,765 - mmdet - INFO - Epoch [5][5000/7390] lr: 1.000e-02, eta: 11:32:44, time: 0.782, data_time: 0.009, memory: 43096, loss_cls: 7.8204, losses_bboxes: 0.4610, loss: 8.2814 2022-11-03 00:21:23,649 - mmdet - INFO - Epoch [5][5050/7390] lr: 1.000e-02, eta: 11:32:06, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8136, losses_bboxes: 0.4646, loss: 8.2782 2022-11-03 00:22:01,638 - mmdet - INFO - Epoch [5][5100/7390] lr: 1.000e-02, eta: 11:31:27, time: 0.760, data_time: 0.009, memory: 43096, loss_cls: 7.8098, losses_bboxes: 0.4609, loss: 8.2707 2022-11-03 00:22:40,394 - mmdet - INFO - Epoch [5][5150/7390] lr: 1.000e-02, eta: 11:30:49, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8123, losses_bboxes: 0.4619, loss: 8.2742 2022-11-03 00:23:19,458 - mmdet - INFO - Epoch [5][5200/7390] lr: 1.000e-02, eta: 11:30:12, time: 0.781, data_time: 0.009, memory: 43096, loss_cls: 7.8211, losses_bboxes: 0.4640, loss: 8.2852 2022-11-03 00:23:57,994 - mmdet - INFO - Epoch [5][5250/7390] lr: 1.000e-02, eta: 11:29:33, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8122, losses_bboxes: 0.4607, loss: 8.2729 2022-11-03 00:24:36,426 - mmdet - INFO - Epoch [5][5300/7390] lr: 1.000e-02, eta: 11:28:55, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8152, losses_bboxes: 0.4612, loss: 8.2764 2022-11-03 00:25:15,091 - mmdet - INFO - Epoch [5][5350/7390] lr: 1.000e-02, eta: 11:28:17, time: 0.773, data_time: 0.008, memory: 43096, loss_cls: 7.8237, losses_bboxes: 0.4627, loss: 8.2863 2022-11-03 00:25:52,872 - mmdet - INFO - Epoch [5][5400/7390] lr: 1.000e-02, eta: 11:27:38, time: 0.756, data_time: 0.008, memory: 43096, loss_cls: 7.8131, losses_bboxes: 0.4609, loss: 8.2740 2022-11-03 00:26:31,630 - mmdet - INFO - Epoch [5][5450/7390] lr: 1.000e-02, eta: 11:27:00, time: 0.775, data_time: 0.008, memory: 43096, loss_cls: 7.8029, losses_bboxes: 0.4625, loss: 8.2654 2022-11-03 00:27:10,010 - mmdet - INFO - Epoch [5][5500/7390] lr: 1.000e-02, eta: 11:26:21, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8138, losses_bboxes: 0.4622, loss: 8.2760 2022-11-03 00:27:48,096 - mmdet - INFO - Epoch [5][5550/7390] lr: 1.000e-02, eta: 11:25:43, time: 0.762, data_time: 0.009, memory: 43096, loss_cls: 7.8188, losses_bboxes: 0.4619, loss: 8.2808 2022-11-03 00:28:26,187 - mmdet - INFO - Epoch [5][5600/7390] lr: 1.000e-02, eta: 11:25:04, time: 0.762, data_time: 0.009, memory: 43096, loss_cls: 7.8111, losses_bboxes: 0.4608, loss: 8.2720 2022-11-03 00:29:05,123 - mmdet - INFO - Epoch [5][5650/7390] lr: 1.000e-02, eta: 11:24:26, time: 0.779, data_time: 0.009, memory: 43096, loss_cls: 7.8216, losses_bboxes: 0.4633, loss: 8.2848 2022-11-03 00:29:43,786 - mmdet - INFO - Epoch [5][5700/7390] lr: 1.000e-02, eta: 11:23:48, time: 0.773, data_time: 0.008, memory: 43096, loss_cls: 7.8187, losses_bboxes: 0.4619, loss: 8.2805 2022-11-03 00:30:23,019 - mmdet - INFO - Epoch [5][5750/7390] lr: 1.000e-02, eta: 11:23:11, time: 0.785, data_time: 0.009, memory: 43096, loss_cls: 7.8090, losses_bboxes: 0.4619, loss: 8.2709 2022-11-03 00:31:01,180 - mmdet - INFO - Epoch [5][5800/7390] lr: 1.000e-02, eta: 11:22:32, time: 0.763, data_time: 0.008, memory: 43096, loss_cls: 7.8074, losses_bboxes: 0.4600, loss: 8.2675 2022-11-03 00:31:39,784 - mmdet - INFO - Epoch [5][5850/7390] lr: 1.000e-02, eta: 11:21:54, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8236, losses_bboxes: 0.4612, loss: 8.2848 2022-11-03 00:32:18,487 - mmdet - INFO - Epoch [5][5900/7390] lr: 1.000e-02, eta: 11:21:16, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8119, losses_bboxes: 0.4625, loss: 8.2745 2022-11-03 00:32:56,915 - mmdet - INFO - Epoch [5][5950/7390] lr: 1.000e-02, eta: 11:20:38, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8108, losses_bboxes: 0.4624, loss: 8.2732 2022-11-03 00:33:35,204 - mmdet - INFO - Epoch [5][6000/7390] lr: 1.000e-02, eta: 11:19:59, time: 0.766, data_time: 0.008, memory: 43096, loss_cls: 7.8191, losses_bboxes: 0.4614, loss: 8.2805 2022-11-03 00:34:13,773 - mmdet - INFO - Epoch [5][6050/7390] lr: 1.000e-02, eta: 11:19:21, time: 0.771, data_time: 0.009, memory: 43096, loss_cls: 7.8148, losses_bboxes: 0.4615, loss: 8.2763 2022-11-03 00:34:51,688 - mmdet - INFO - Epoch [5][6100/7390] lr: 1.000e-02, eta: 11:18:42, time: 0.758, data_time: 0.009, memory: 43096, loss_cls: 7.8095, losses_bboxes: 0.4604, loss: 8.2698 2022-11-03 00:35:29,798 - mmdet - INFO - Epoch [5][6150/7390] lr: 1.000e-02, eta: 11:18:03, time: 0.762, data_time: 0.009, memory: 43096, loss_cls: 7.8102, losses_bboxes: 0.4590, loss: 8.2692 2022-11-03 00:36:08,683 - mmdet - INFO - Epoch [5][6200/7390] lr: 1.000e-02, eta: 11:17:25, time: 0.778, data_time: 0.008, memory: 43096, loss_cls: 7.8199, losses_bboxes: 0.4620, loss: 8.2819 2022-11-03 00:36:47,238 - mmdet - INFO - Epoch [5][6250/7390] lr: 1.000e-02, eta: 11:16:47, time: 0.771, data_time: 0.008, memory: 43096, loss_cls: 7.8040, losses_bboxes: 0.4629, loss: 8.2668 2022-11-03 00:37:26,095 - mmdet - INFO - Epoch [5][6300/7390] lr: 1.000e-02, eta: 11:16:09, time: 0.777, data_time: 0.008, memory: 43096, loss_cls: 7.8118, losses_bboxes: 0.4613, loss: 8.2731 2022-11-03 00:38:03,934 - mmdet - INFO - Epoch [5][6350/7390] lr: 1.000e-02, eta: 11:15:30, time: 0.757, data_time: 0.009, memory: 43096, loss_cls: 7.8047, losses_bboxes: 0.4603, loss: 8.2650 2022-11-03 00:38:42,117 - mmdet - INFO - Epoch [5][6400/7390] lr: 1.000e-02, eta: 11:14:51, time: 0.764, data_time: 0.009, memory: 43096, loss_cls: 7.8069, losses_bboxes: 0.4601, loss: 8.2671 2022-11-03 00:39:20,307 - mmdet - INFO - Epoch [5][6450/7390] lr: 1.000e-02, eta: 11:14:13, time: 0.764, data_time: 0.009, memory: 43096, loss_cls: 7.8017, losses_bboxes: 0.4632, loss: 8.2650 2022-11-03 00:39:58,961 - mmdet - INFO - Epoch [5][6500/7390] lr: 1.000e-02, eta: 11:13:35, time: 0.773, data_time: 0.008, memory: 43096, loss_cls: 7.8083, losses_bboxes: 0.4620, loss: 8.2703 2022-11-03 00:40:37,185 - mmdet - INFO - Epoch [5][6550/7390] lr: 1.000e-02, eta: 11:12:56, time: 0.764, data_time: 0.008, memory: 43096, loss_cls: 7.8117, losses_bboxes: 0.4633, loss: 8.2750 2022-11-03 00:41:15,814 - mmdet - INFO - Epoch [5][6600/7390] lr: 1.000e-02, eta: 11:12:18, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8196, losses_bboxes: 0.4625, loss: 8.2821 2022-11-03 00:41:54,442 - mmdet - INFO - Epoch [5][6650/7390] lr: 1.000e-02, eta: 11:11:40, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8135, losses_bboxes: 0.4630, loss: 8.2766 2022-11-03 00:42:32,235 - mmdet - INFO - Epoch [5][6700/7390] lr: 1.000e-02, eta: 11:11:01, time: 0.756, data_time: 0.008, memory: 43096, loss_cls: 7.8114, losses_bboxes: 0.4613, loss: 8.2727 2022-11-03 00:43:10,607 - mmdet - INFO - Epoch [5][6750/7390] lr: 1.000e-02, eta: 11:10:22, time: 0.767, data_time: 0.009, memory: 43096, loss_cls: 7.8096, losses_bboxes: 0.4609, loss: 8.2704 2022-11-03 00:43:49,489 - mmdet - INFO - Epoch [5][6800/7390] lr: 1.000e-02, eta: 11:09:44, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8039, losses_bboxes: 0.4623, loss: 8.2662 2022-11-03 00:44:27,865 - mmdet - INFO - Epoch [5][6850/7390] lr: 1.000e-02, eta: 11:09:06, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8156, losses_bboxes: 0.4612, loss: 8.2768 2022-11-03 00:45:05,969 - mmdet - INFO - Epoch [5][6900/7390] lr: 1.000e-02, eta: 11:08:27, time: 0.762, data_time: 0.009, memory: 43096, loss_cls: 7.8102, losses_bboxes: 0.4606, loss: 8.2708 2022-11-03 00:45:44,655 - mmdet - INFO - Epoch [5][6950/7390] lr: 1.000e-02, eta: 11:07:49, time: 0.774, data_time: 0.008, memory: 43096, loss_cls: 7.8092, losses_bboxes: 0.4640, loss: 8.2732 2022-11-03 00:46:23,323 - mmdet - INFO - Epoch [5][7000/7390] lr: 1.000e-02, eta: 11:07:11, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8037, losses_bboxes: 0.4606, loss: 8.2643 2022-11-03 00:47:01,197 - mmdet - INFO - Epoch [5][7050/7390] lr: 1.000e-02, eta: 11:06:32, time: 0.757, data_time: 0.009, memory: 43096, loss_cls: 7.8084, losses_bboxes: 0.4603, loss: 8.2688 2022-11-03 00:47:40,139 - mmdet - INFO - Epoch [5][7100/7390] lr: 1.000e-02, eta: 11:05:54, time: 0.779, data_time: 0.009, memory: 43096, loss_cls: 7.8198, losses_bboxes: 0.4615, loss: 8.2812 2022-11-03 00:48:18,228 - mmdet - INFO - Epoch [5][7150/7390] lr: 1.000e-02, eta: 11:05:16, time: 0.762, data_time: 0.008, memory: 43096, loss_cls: 7.8190, losses_bboxes: 0.4623, loss: 8.2812 2022-11-03 00:48:56,848 - mmdet - INFO - Epoch [5][7200/7390] lr: 1.000e-02, eta: 11:04:37, time: 0.772, data_time: 0.008, memory: 43096, loss_cls: 7.8158, losses_bboxes: 0.4627, loss: 8.2785 2022-11-03 00:49:34,851 - mmdet - INFO - Epoch [5][7250/7390] lr: 1.000e-02, eta: 11:03:58, time: 0.760, data_time: 0.009, memory: 43096, loss_cls: 7.8096, losses_bboxes: 0.4601, loss: 8.2697 2022-11-03 00:50:15,768 - mmdet - INFO - Epoch [5][7300/7390] lr: 1.000e-02, eta: 11:03:24, time: 0.818, data_time: 0.009, memory: 43096, loss_cls: 7.8172, losses_bboxes: 0.4604, loss: 8.2776 2022-11-03 00:50:54,469 - mmdet - INFO - Epoch [5][7350/7390] lr: 1.000e-02, eta: 11:02:46, time: 0.774, data_time: 0.008, memory: 43096, loss_cls: 7.8072, losses_bboxes: 0.4601, loss: 8.2673 2022-11-03 00:51:24,752 - mmdet - INFO - Saving checkpoint at 5 epochs 2022-11-03 00:52:09,347 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 00:52:09,347 - mmdet - INFO - Epoch [6][50/7390] lr: 1.000e-02, eta: 11:01:01, time: 0.872, data_time: 0.115, memory: 43096, loss_cls: 7.8151, losses_bboxes: 0.4608, loss: 8.2759 2022-11-03 00:52:48,122 - mmdet - INFO - Epoch [6][100/7390] lr: 1.000e-02, eta: 11:00:23, time: 0.776, data_time: 0.008, memory: 43096, loss_cls: 7.8130, losses_bboxes: 0.4590, loss: 8.2720 2022-11-03 00:53:27,038 - mmdet - INFO - Epoch [6][150/7390] lr: 1.000e-02, eta: 10:59:45, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8075, losses_bboxes: 0.4628, loss: 8.2703 2022-11-03 00:54:05,639 - mmdet - INFO - Epoch [6][200/7390] lr: 1.000e-02, eta: 10:59:07, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8178, losses_bboxes: 0.4623, loss: 8.2801 2022-11-03 00:54:44,639 - mmdet - INFO - Epoch [6][250/7390] lr: 1.000e-02, eta: 10:58:30, time: 0.780, data_time: 0.009, memory: 43096, loss_cls: 7.8077, losses_bboxes: 0.4628, loss: 8.2705 2022-11-03 00:55:22,442 - mmdet - INFO - Epoch [6][300/7390] lr: 1.000e-02, eta: 10:57:51, time: 0.756, data_time: 0.009, memory: 43096, loss_cls: 7.8041, losses_bboxes: 0.4611, loss: 8.2652 2022-11-03 00:56:00,579 - mmdet - INFO - Epoch [6][350/7390] lr: 1.000e-02, eta: 10:57:12, time: 0.763, data_time: 0.009, memory: 43096, loss_cls: 7.8084, losses_bboxes: 0.4610, loss: 8.2694 2022-11-03 00:56:38,839 - mmdet - INFO - Epoch [6][400/7390] lr: 1.000e-02, eta: 10:56:33, time: 0.765, data_time: 0.009, memory: 43096, loss_cls: 7.8019, losses_bboxes: 0.4579, loss: 8.2598 2022-11-03 00:57:18,319 - mmdet - INFO - Epoch [6][450/7390] lr: 1.000e-02, eta: 10:55:57, time: 0.790, data_time: 0.009, memory: 43096, loss_cls: 7.8121, losses_bboxes: 0.4602, loss: 8.2723 2022-11-03 00:57:57,195 - mmdet - INFO - Epoch [6][500/7390] lr: 1.000e-02, eta: 10:55:19, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8108, losses_bboxes: 0.4606, loss: 8.2713 2022-11-03 00:58:35,856 - mmdet - INFO - Epoch [6][550/7390] lr: 1.000e-02, eta: 10:54:41, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8051, losses_bboxes: 0.4600, loss: 8.2652 2022-11-03 00:59:14,864 - mmdet - INFO - Epoch [6][600/7390] lr: 1.000e-02, eta: 10:54:03, time: 0.780, data_time: 0.009, memory: 43096, loss_cls: 7.8193, losses_bboxes: 0.4627, loss: 8.2820 2022-11-03 00:59:52,901 - mmdet - INFO - Epoch [6][650/7390] lr: 1.000e-02, eta: 10:53:25, time: 0.761, data_time: 0.009, memory: 43096, loss_cls: 7.8114, losses_bboxes: 0.4626, loss: 8.2741 2022-11-03 01:00:31,626 - mmdet - INFO - Epoch [6][700/7390] lr: 1.000e-02, eta: 10:52:47, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8165, losses_bboxes: 0.4615, loss: 8.2781 2022-11-03 01:01:09,884 - mmdet - INFO - Epoch [6][750/7390] lr: 1.000e-02, eta: 10:52:08, time: 0.765, data_time: 0.009, memory: 43096, loss_cls: 7.8105, losses_bboxes: 0.4616, loss: 8.2721 2022-11-03 01:01:48,246 - mmdet - INFO - Epoch [6][800/7390] lr: 1.000e-02, eta: 10:51:30, time: 0.767, data_time: 0.009, memory: 43096, loss_cls: 7.7986, losses_bboxes: 0.4613, loss: 8.2599 2022-11-03 01:02:26,252 - mmdet - INFO - Epoch [6][850/7390] lr: 1.000e-02, eta: 10:50:51, time: 0.760, data_time: 0.009, memory: 43096, loss_cls: 7.8161, losses_bboxes: 0.4588, loss: 8.2749 2022-11-03 01:03:04,949 - mmdet - INFO - Epoch [6][900/7390] lr: 1.000e-02, eta: 10:50:13, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8160, losses_bboxes: 0.4603, loss: 8.2762 2022-11-03 01:03:43,135 - mmdet - INFO - Epoch [6][950/7390] lr: 1.000e-02, eta: 10:49:34, time: 0.764, data_time: 0.009, memory: 43096, loss_cls: 7.8204, losses_bboxes: 0.4612, loss: 8.2816 2022-11-03 01:04:21,757 - mmdet - INFO - Epoch [6][1000/7390] lr: 1.000e-02, eta: 10:48:56, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8066, losses_bboxes: 0.4607, loss: 8.2673 2022-11-03 01:04:59,885 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 01:04:59,885 - mmdet - INFO - Epoch [6][1050/7390] lr: 1.000e-02, eta: 10:48:18, time: 0.763, data_time: 0.009, memory: 43096, loss_cls: 7.7984, losses_bboxes: 0.4608, loss: 8.2592 2022-11-03 01:05:38,573 - mmdet - INFO - Epoch [6][1100/7390] lr: 1.000e-02, eta: 10:47:40, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.7990, losses_bboxes: 0.4601, loss: 8.2591 2022-11-03 01:06:17,091 - mmdet - INFO - Epoch [6][1150/7390] lr: 1.000e-02, eta: 10:47:01, time: 0.770, data_time: 0.009, memory: 43096, loss_cls: 7.8158, losses_bboxes: 0.4619, loss: 8.2778 2022-11-03 01:06:55,270 - mmdet - INFO - Epoch [6][1200/7390] lr: 1.000e-02, eta: 10:46:23, time: 0.764, data_time: 0.009, memory: 43096, loss_cls: 7.8068, losses_bboxes: 0.4638, loss: 8.2707 2022-11-03 01:07:33,471 - mmdet - INFO - Epoch [6][1250/7390] lr: 1.000e-02, eta: 10:45:44, time: 0.764, data_time: 0.010, memory: 43096, loss_cls: 7.8210, losses_bboxes: 0.4602, loss: 8.2813 2022-11-03 01:08:11,248 - mmdet - INFO - Epoch [6][1300/7390] lr: 1.000e-02, eta: 10:45:05, time: 0.755, data_time: 0.009, memory: 43096, loss_cls: 7.8101, losses_bboxes: 0.4618, loss: 8.2719 2022-11-03 01:08:49,853 - mmdet - INFO - Epoch [6][1350/7390] lr: 1.000e-02, eta: 10:44:27, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8121, losses_bboxes: 0.4622, loss: 8.2743 2022-11-03 01:09:28,213 - mmdet - INFO - Epoch [6][1400/7390] lr: 1.000e-02, eta: 10:43:48, time: 0.767, data_time: 0.009, memory: 43096, loss_cls: 7.8175, losses_bboxes: 0.4626, loss: 8.2801 2022-11-03 01:10:07,115 - mmdet - INFO - Epoch [6][1450/7390] lr: 1.000e-02, eta: 10:43:11, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8108, losses_bboxes: 0.4622, loss: 8.2729 2022-11-03 01:10:45,771 - mmdet - INFO - Epoch [6][1500/7390] lr: 1.000e-02, eta: 10:42:33, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8040, losses_bboxes: 0.4608, loss: 8.2649 2022-11-03 01:11:24,368 - mmdet - INFO - Epoch [6][1550/7390] lr: 1.000e-02, eta: 10:41:55, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8083, losses_bboxes: 0.4608, loss: 8.2691 2022-11-03 01:12:02,751 - mmdet - INFO - Epoch [6][1600/7390] lr: 1.000e-02, eta: 10:41:16, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8077, losses_bboxes: 0.4596, loss: 8.2673 2022-11-03 01:12:41,479 - mmdet - INFO - Epoch [6][1650/7390] lr: 1.000e-02, eta: 10:40:38, time: 0.775, data_time: 0.010, memory: 43096, loss_cls: 7.8089, losses_bboxes: 0.4615, loss: 8.2704 2022-11-03 01:13:20,173 - mmdet - INFO - Epoch [6][1700/7390] lr: 1.000e-02, eta: 10:40:00, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8060, losses_bboxes: 0.4592, loss: 8.2652 2022-11-03 01:13:58,427 - mmdet - INFO - Epoch [6][1750/7390] lr: 1.000e-02, eta: 10:39:22, time: 0.765, data_time: 0.009, memory: 43096, loss_cls: 7.8170, losses_bboxes: 0.4600, loss: 8.2771 2022-11-03 01:14:36,806 - mmdet - INFO - Epoch [6][1800/7390] lr: 1.000e-02, eta: 10:38:44, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8066, losses_bboxes: 0.4604, loss: 8.2670 2022-11-03 01:15:15,429 - mmdet - INFO - Epoch [6][1850/7390] lr: 1.000e-02, eta: 10:38:05, time: 0.772, data_time: 0.009, memory: 43096, loss_cls: 7.8184, losses_bboxes: 0.4599, loss: 8.2784 2022-11-03 01:15:53,208 - mmdet - INFO - Epoch [6][1900/7390] lr: 1.000e-02, eta: 10:37:26, time: 0.756, data_time: 0.009, memory: 43096, loss_cls: 7.8152, losses_bboxes: 0.4606, loss: 8.2758 2022-11-03 01:16:31,210 - mmdet - INFO - Epoch [6][1950/7390] lr: 1.000e-02, eta: 10:36:47, time: 0.760, data_time: 0.009, memory: 43096, loss_cls: 7.7980, losses_bboxes: 0.4605, loss: 8.2585 2022-11-03 01:17:10,260 - mmdet - INFO - Epoch [6][2000/7390] lr: 1.000e-02, eta: 10:36:10, time: 0.781, data_time: 0.009, memory: 43096, loss_cls: 7.8188, losses_bboxes: 0.4614, loss: 8.2801 2022-11-03 01:17:48,710 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 01:17:48,711 - mmdet - INFO - Epoch [6][2050/7390] lr: 1.000e-02, eta: 10:35:32, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8056, losses_bboxes: 0.4594, loss: 8.2650 2022-11-03 01:18:27,699 - mmdet - INFO - Epoch [6][2100/7390] lr: 1.000e-02, eta: 10:34:54, time: 0.780, data_time: 0.009, memory: 43096, loss_cls: 7.8132, losses_bboxes: 0.4602, loss: 8.2734 2022-11-03 01:19:06,560 - mmdet - INFO - Epoch [6][2150/7390] lr: 1.000e-02, eta: 10:34:16, time: 0.777, data_time: 0.009, memory: 43096, loss_cls: 7.8025, losses_bboxes: 0.4600, loss: 8.2624 2022-11-03 01:19:45,672 - mmdet - INFO - Epoch [6][2200/7390] lr: 1.000e-02, eta: 10:33:39, time: 0.782, data_time: 0.009, memory: 43096, loss_cls: 7.8159, losses_bboxes: 0.4616, loss: 8.2775 2022-11-03 01:20:24,036 - mmdet - INFO - Epoch [6][2250/7390] lr: 1.000e-02, eta: 10:33:00, time: 0.767, data_time: 0.009, memory: 43096, loss_cls: 7.8131, losses_bboxes: 0.4611, loss: 8.2742 2022-11-03 01:21:02,710 - mmdet - INFO - Epoch [6][2300/7390] lr: 1.000e-02, eta: 10:32:22, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8109, losses_bboxes: 0.4614, loss: 8.2723 2022-11-03 01:21:41,019 - mmdet - INFO - Epoch [6][2350/7390] lr: 1.000e-02, eta: 10:31:44, time: 0.766, data_time: 0.009, memory: 43096, loss_cls: 7.8095, losses_bboxes: 0.4611, loss: 8.2706 2022-11-03 01:22:19,843 - mmdet - INFO - Epoch [6][2400/7390] lr: 1.000e-02, eta: 10:31:06, time: 0.776, data_time: 0.009, memory: 43096, loss_cls: 7.8066, losses_bboxes: 0.4595, loss: 8.2661 2022-11-03 01:22:58,598 - mmdet - INFO - Epoch [6][2450/7390] lr: 1.000e-02, eta: 10:30:28, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8148, losses_bboxes: 0.4613, loss: 8.2761 2022-11-03 01:23:36,810 - mmdet - INFO - Epoch [6][2500/7390] lr: 1.000e-02, eta: 10:29:50, time: 0.764, data_time: 0.009, memory: 43096, loss_cls: 7.8049, losses_bboxes: 0.4593, loss: 8.2642 2022-11-03 01:24:14,787 - mmdet - INFO - Epoch [6][2550/7390] lr: 1.000e-02, eta: 10:29:11, time: 0.760, data_time: 0.009, memory: 43096, loss_cls: 7.8038, losses_bboxes: 0.4592, loss: 8.2630 2022-11-03 01:24:53,666 - mmdet - INFO - Epoch [6][2600/7390] lr: 1.000e-02, eta: 10:28:33, time: 0.778, data_time: 0.009, memory: 43096, loss_cls: 7.8138, losses_bboxes: 0.4605, loss: 8.2743 2022-11-03 01:25:31,284 - mmdet - INFO - Epoch [6][2650/7390] lr: 1.000e-02, eta: 10:27:54, time: 0.752, data_time: 0.009, memory: 43096, loss_cls: 7.8119, losses_bboxes: 0.4606, loss: 8.2726 2022-11-03 01:26:09,498 - mmdet - INFO - Epoch [6][2700/7390] lr: 1.000e-02, eta: 10:27:15, time: 0.764, data_time: 0.009, memory: 43096, loss_cls: 7.8076, losses_bboxes: 0.4611, loss: 8.2687 2022-11-03 01:26:47,730 - mmdet - INFO - Epoch [6][2750/7390] lr: 1.000e-02, eta: 10:26:36, time: 0.765, data_time: 0.009, memory: 43096, loss_cls: 7.8135, losses_bboxes: 0.4616, loss: 8.2751 2022-11-03 01:27:26,399 - mmdet - INFO - Epoch [6][2800/7390] lr: 1.000e-02, eta: 10:25:58, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8214, losses_bboxes: 0.4602, loss: 8.2816 2022-11-03 01:28:04,503 - mmdet - INFO - Epoch [6][2850/7390] lr: 1.000e-02, eta: 10:25:20, time: 0.762, data_time: 0.009, memory: 43096, loss_cls: 7.8134, losses_bboxes: 0.4607, loss: 8.2741 2022-11-03 01:28:42,889 - mmdet - INFO - Epoch [6][2900/7390] lr: 1.000e-02, eta: 10:24:41, time: 0.768, data_time: 0.009, memory: 43096, loss_cls: 7.8078, losses_bboxes: 0.4608, loss: 8.2687 2022-11-03 01:29:21,604 - mmdet - INFO - Epoch [6][2950/7390] lr: 1.000e-02, eta: 10:24:03, time: 0.774, data_time: 0.009, memory: 43096, loss_cls: 7.8074, losses_bboxes: 0.4621, loss: 8.2695 2022-11-03 01:30:00,539 - mmdet - INFO - Epoch [6][3000/7390] lr: 1.000e-02, eta: 10:23:26, time: 0.779, data_time: 0.009, memory: 43096, loss_cls: 7.8066, losses_bboxes: 0.4597, loss: 8.2662 2022-11-03 01:30:38,685 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 01:30:38,685 - mmdet - INFO - Epoch [6][3050/7390] lr: 1.000e-02, eta: 10:22:47, time: 0.763, data_time: 0.009, memory: 43096, loss_cls: 7.8132, losses_bboxes: 0.4610, loss: 8.2743 2022-11-03 01:31:17,433 - mmdet - INFO - Epoch [6][3100/7390] lr: 1.000e-02, eta: 10:22:09, time: 0.775, data_time: 0.009, memory: 43096, loss_cls: 7.8174, losses_bboxes: 0.4603, loss: 8.2776 2022-11-03 01:31:56,070 - mmdet - INFO - Epoch [6][3150/7390] lr: 1.000e-02, eta: 10:21:31, time: 0.773, data_time: 0.009, memory: 43096, loss_cls: 7.8038, losses_bboxes: 0.4597, loss: 8.2635 2022-11-03 01:32:34,855 - mmdet - INFO - Epoch [6][3200/7390] lr: 1.000e-02, eta: 10:20:53, time: 0.776, data_time: 0.009, memory: 43096, loss_cls: 7.8082, losses_bboxes: 0.4601, loss: 8.2683 2022-11-03 01:33:13,325 - mmdet - INFO - Epoch [6][3250/7390] lr: 1.000e-02, eta: 10:20:15, time: 0.769, data_time: 0.009, memory: 43096, loss_cls: 7.8139, losses_bboxes: 0.4617, loss: 8.2755 2022-11-03 01:33:51,199 - mmdet - INFO - Epoch [6][3300/7390] lr: 1.000e-02, eta: 10:19:36, time: 0.757, data_time: 0.009, memory: 43494, loss_cls: 7.8110, losses_bboxes: 0.4610, loss: 8.2719 2022-11-03 01:34:29,875 - mmdet - INFO - Epoch [6][3350/7390] lr: 1.000e-02, eta: 10:18:58, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8104, losses_bboxes: 0.4602, loss: 8.2706 2022-11-03 01:35:08,060 - mmdet - INFO - Epoch [6][3400/7390] lr: 1.000e-02, eta: 10:18:19, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.8109, losses_bboxes: 0.4603, loss: 8.2712 2022-11-03 01:35:47,052 - mmdet - INFO - Epoch [6][3450/7390] lr: 1.000e-02, eta: 10:17:42, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.8063, losses_bboxes: 0.4600, loss: 8.2663 2022-11-03 01:36:26,276 - mmdet - INFO - Epoch [6][3500/7390] lr: 1.000e-02, eta: 10:17:04, time: 0.784, data_time: 0.009, memory: 43494, loss_cls: 7.8041, losses_bboxes: 0.4593, loss: 8.2634 2022-11-03 01:37:05,118 - mmdet - INFO - Epoch [6][3550/7390] lr: 1.000e-02, eta: 10:16:26, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7956, losses_bboxes: 0.4596, loss: 8.2552 2022-11-03 01:37:43,141 - mmdet - INFO - Epoch [6][3600/7390] lr: 1.000e-02, eta: 10:15:48, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.8091, losses_bboxes: 0.4590, loss: 8.2681 2022-11-03 01:38:21,353 - mmdet - INFO - Epoch [6][3650/7390] lr: 1.000e-02, eta: 10:15:09, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.8086, losses_bboxes: 0.4606, loss: 8.2691 2022-11-03 01:38:59,437 - mmdet - INFO - Epoch [6][3700/7390] lr: 1.000e-02, eta: 10:14:30, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8121, losses_bboxes: 0.4597, loss: 8.2718 2022-11-03 01:39:37,333 - mmdet - INFO - Epoch [6][3750/7390] lr: 1.000e-02, eta: 10:13:51, time: 0.758, data_time: 0.009, memory: 43494, loss_cls: 7.8090, losses_bboxes: 0.4622, loss: 8.2712 2022-11-03 01:40:15,926 - mmdet - INFO - Epoch [6][3800/7390] lr: 1.000e-02, eta: 10:13:13, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8032, losses_bboxes: 0.4615, loss: 8.2647 2022-11-03 01:40:54,703 - mmdet - INFO - Epoch [6][3850/7390] lr: 1.000e-02, eta: 10:12:35, time: 0.776, data_time: 0.008, memory: 43494, loss_cls: 7.8042, losses_bboxes: 0.4591, loss: 8.2633 2022-11-03 01:41:32,796 - mmdet - INFO - Epoch [6][3900/7390] lr: 1.000e-02, eta: 10:11:56, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8105, losses_bboxes: 0.4580, loss: 8.2686 2022-11-03 01:42:10,870 - mmdet - INFO - Epoch [6][3950/7390] lr: 1.000e-02, eta: 10:11:18, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.8150, losses_bboxes: 0.4590, loss: 8.2740 2022-11-03 01:42:49,566 - mmdet - INFO - Epoch [6][4000/7390] lr: 1.000e-02, eta: 10:10:40, time: 0.774, data_time: 0.008, memory: 43494, loss_cls: 7.8091, losses_bboxes: 0.4599, loss: 8.2690 2022-11-03 01:43:28,070 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 01:43:28,070 - mmdet - INFO - Epoch [6][4050/7390] lr: 1.000e-02, eta: 10:10:01, time: 0.770, data_time: 0.008, memory: 43494, loss_cls: 7.8109, losses_bboxes: 0.4608, loss: 8.2717 2022-11-03 01:44:06,479 - mmdet - INFO - Epoch [6][4100/7390] lr: 1.000e-02, eta: 10:09:23, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8149, losses_bboxes: 0.4617, loss: 8.2766 2022-11-03 01:44:44,208 - mmdet - INFO - Epoch [6][4150/7390] lr: 1.000e-02, eta: 10:08:44, time: 0.755, data_time: 0.009, memory: 43494, loss_cls: 7.8107, losses_bboxes: 0.4615, loss: 8.2722 2022-11-03 01:45:22,052 - mmdet - INFO - Epoch [6][4200/7390] lr: 1.000e-02, eta: 10:08:05, time: 0.757, data_time: 0.009, memory: 43494, loss_cls: 7.8064, losses_bboxes: 0.4601, loss: 8.2665 2022-11-03 01:46:00,852 - mmdet - INFO - Epoch [6][4250/7390] lr: 1.000e-02, eta: 10:07:27, time: 0.776, data_time: 0.008, memory: 43494, loss_cls: 7.8198, losses_bboxes: 0.4601, loss: 8.2799 2022-11-03 01:46:40,258 - mmdet - INFO - Epoch [6][4300/7390] lr: 1.000e-02, eta: 10:06:50, time: 0.788, data_time: 0.009, memory: 43494, loss_cls: 7.8079, losses_bboxes: 0.4602, loss: 8.2681 2022-11-03 01:47:18,456 - mmdet - INFO - Epoch [6][4350/7390] lr: 1.000e-02, eta: 10:06:11, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.8159, losses_bboxes: 0.4610, loss: 8.2769 2022-11-03 01:47:57,452 - mmdet - INFO - Epoch [6][4400/7390] lr: 1.000e-02, eta: 10:05:34, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.8036, losses_bboxes: 0.4586, loss: 8.2621 2022-11-03 01:48:36,028 - mmdet - INFO - Epoch [6][4450/7390] lr: 1.000e-02, eta: 10:04:55, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8079, losses_bboxes: 0.4600, loss: 8.2679 2022-11-03 01:49:14,829 - mmdet - INFO - Epoch [6][4500/7390] lr: 1.000e-02, eta: 10:04:18, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8095, losses_bboxes: 0.4593, loss: 8.2688 2022-11-03 01:49:53,562 - mmdet - INFO - Epoch [6][4550/7390] lr: 1.000e-02, eta: 10:03:40, time: 0.775, data_time: 0.008, memory: 43494, loss_cls: 7.8168, losses_bboxes: 0.4581, loss: 8.2749 2022-11-03 01:50:32,139 - mmdet - INFO - Epoch [6][4600/7390] lr: 1.000e-02, eta: 10:03:01, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8073, losses_bboxes: 0.4592, loss: 8.2665 2022-11-03 01:51:10,580 - mmdet - INFO - Epoch [6][4650/7390] lr: 1.000e-02, eta: 10:02:23, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8041, losses_bboxes: 0.4599, loss: 8.2640 2022-11-03 01:51:49,284 - mmdet - INFO - Epoch [6][4700/7390] lr: 1.000e-02, eta: 10:01:45, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8079, losses_bboxes: 0.4618, loss: 8.2697 2022-11-03 01:52:27,795 - mmdet - INFO - Epoch [6][4750/7390] lr: 1.000e-02, eta: 10:01:07, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8065, losses_bboxes: 0.4610, loss: 8.2675 2022-11-03 01:53:06,375 - mmdet - INFO - Epoch [6][4800/7390] lr: 1.000e-02, eta: 10:00:29, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8010, losses_bboxes: 0.4587, loss: 8.2597 2022-11-03 01:53:44,279 - mmdet - INFO - Epoch [6][4850/7390] lr: 1.000e-02, eta: 9:59:50, time: 0.758, data_time: 0.008, memory: 43494, loss_cls: 7.8045, losses_bboxes: 0.4596, loss: 8.2641 2022-11-03 01:54:22,248 - mmdet - INFO - Epoch [6][4900/7390] lr: 1.000e-02, eta: 9:59:11, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.8039, losses_bboxes: 0.4607, loss: 8.2646 2022-11-03 01:55:00,539 - mmdet - INFO - Epoch [6][4950/7390] lr: 1.000e-02, eta: 9:58:32, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.8151, losses_bboxes: 0.4620, loss: 8.2771 2022-11-03 01:55:39,439 - mmdet - INFO - Epoch [6][5000/7390] lr: 1.000e-02, eta: 9:57:55, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8097, losses_bboxes: 0.4606, loss: 8.2703 2022-11-03 01:56:17,983 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 01:56:17,983 - mmdet - INFO - Epoch [6][5050/7390] lr: 1.000e-02, eta: 9:57:16, time: 0.771, data_time: 0.008, memory: 43494, loss_cls: 7.8133, losses_bboxes: 0.4609, loss: 8.2742 2022-11-03 01:56:56,747 - mmdet - INFO - Epoch [6][5100/7390] lr: 1.000e-02, eta: 9:56:38, time: 0.775, data_time: 0.008, memory: 43494, loss_cls: 7.8067, losses_bboxes: 0.4620, loss: 8.2687 2022-11-03 01:57:35,518 - mmdet - INFO - Epoch [6][5150/7390] lr: 1.000e-02, eta: 9:56:00, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8066, losses_bboxes: 0.4609, loss: 8.2675 2022-11-03 01:58:14,813 - mmdet - INFO - Epoch [6][5200/7390] lr: 1.000e-02, eta: 9:55:23, time: 0.786, data_time: 0.009, memory: 43494, loss_cls: 7.8127, losses_bboxes: 0.4629, loss: 8.2755 2022-11-03 01:58:53,048 - mmdet - INFO - Epoch [6][5250/7390] lr: 1.000e-02, eta: 9:54:44, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8071, losses_bboxes: 0.4586, loss: 8.2657 2022-11-03 01:59:31,710 - mmdet - INFO - Epoch [6][5300/7390] lr: 1.000e-02, eta: 9:54:06, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8207, losses_bboxes: 0.4601, loss: 8.2808 2022-11-03 02:00:09,982 - mmdet - INFO - Epoch [6][5350/7390] lr: 1.000e-02, eta: 9:53:28, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8103, losses_bboxes: 0.4618, loss: 8.2722 2022-11-03 02:00:48,740 - mmdet - INFO - Epoch [6][5400/7390] lr: 1.000e-02, eta: 9:52:50, time: 0.775, data_time: 0.008, memory: 43494, loss_cls: 7.8102, losses_bboxes: 0.4599, loss: 8.2701 2022-11-03 02:01:26,998 - mmdet - INFO - Epoch [6][5450/7390] lr: 1.000e-02, eta: 9:52:11, time: 0.765, data_time: 0.008, memory: 43494, loss_cls: 7.8076, losses_bboxes: 0.4605, loss: 8.2681 2022-11-03 02:02:04,939 - mmdet - INFO - Epoch [6][5500/7390] lr: 1.000e-02, eta: 9:51:32, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.8104, losses_bboxes: 0.4595, loss: 8.2699 2022-11-03 02:02:43,714 - mmdet - INFO - Epoch [6][5550/7390] lr: 1.000e-02, eta: 9:50:54, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8233, losses_bboxes: 0.4601, loss: 8.2834 2022-11-03 02:03:21,864 - mmdet - INFO - Epoch [6][5600/7390] lr: 1.000e-02, eta: 9:50:16, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8143, losses_bboxes: 0.4593, loss: 8.2736 2022-11-03 02:04:01,056 - mmdet - INFO - Epoch [6][5650/7390] lr: 1.000e-02, eta: 9:49:38, time: 0.784, data_time: 0.009, memory: 43494, loss_cls: 7.8033, losses_bboxes: 0.4590, loss: 8.2622 2022-11-03 02:04:40,192 - mmdet - INFO - Epoch [6][5700/7390] lr: 1.000e-02, eta: 9:49:01, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.8183, losses_bboxes: 0.4593, loss: 8.2776 2022-11-03 02:05:18,619 - mmdet - INFO - Epoch [6][5750/7390] lr: 1.000e-02, eta: 9:48:22, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8072, losses_bboxes: 0.4606, loss: 8.2678 2022-11-03 02:05:57,656 - mmdet - INFO - Epoch [6][5800/7390] lr: 1.000e-02, eta: 9:47:45, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.8221, losses_bboxes: 0.4602, loss: 8.2824 2022-11-03 02:06:35,908 - mmdet - INFO - Epoch [6][5850/7390] lr: 1.000e-02, eta: 9:47:06, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8100, losses_bboxes: 0.4597, loss: 8.2696 2022-11-03 02:07:15,092 - mmdet - INFO - Epoch [6][5900/7390] lr: 1.000e-02, eta: 9:46:29, time: 0.784, data_time: 0.009, memory: 43494, loss_cls: 7.8197, losses_bboxes: 0.4613, loss: 8.2810 2022-11-03 02:07:54,130 - mmdet - INFO - Epoch [6][5950/7390] lr: 1.000e-02, eta: 9:45:51, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.8088, losses_bboxes: 0.4601, loss: 8.2690 2022-11-03 02:08:32,372 - mmdet - INFO - Epoch [6][6000/7390] lr: 1.000e-02, eta: 9:45:12, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8018, losses_bboxes: 0.4570, loss: 8.2588 2022-11-03 02:09:10,685 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 02:09:10,685 - mmdet - INFO - Epoch [6][6050/7390] lr: 1.000e-02, eta: 9:44:34, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.8023, losses_bboxes: 0.4607, loss: 8.2630 2022-11-03 02:09:49,218 - mmdet - INFO - Epoch [6][6100/7390] lr: 1.000e-02, eta: 9:43:56, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8005, losses_bboxes: 0.4592, loss: 8.2597 2022-11-03 02:10:28,427 - mmdet - INFO - Epoch [6][6150/7390] lr: 1.000e-02, eta: 9:43:18, time: 0.784, data_time: 0.009, memory: 43494, loss_cls: 7.8067, losses_bboxes: 0.4611, loss: 8.2679 2022-11-03 02:11:06,819 - mmdet - INFO - Epoch [6][6200/7390] lr: 1.000e-02, eta: 9:42:40, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8099, losses_bboxes: 0.4581, loss: 8.2680 2022-11-03 02:11:44,849 - mmdet - INFO - Epoch [6][6250/7390] lr: 1.000e-02, eta: 9:42:01, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.8060, losses_bboxes: 0.4591, loss: 8.2650 2022-11-03 02:12:22,961 - mmdet - INFO - Epoch [6][6300/7390] lr: 1.000e-02, eta: 9:41:22, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8082, losses_bboxes: 0.4600, loss: 8.2682 2022-11-03 02:13:01,621 - mmdet - INFO - Epoch [6][6350/7390] lr: 1.000e-02, eta: 9:40:44, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8094, losses_bboxes: 0.4579, loss: 8.2673 2022-11-03 02:13:39,780 - mmdet - INFO - Epoch [6][6400/7390] lr: 1.000e-02, eta: 9:40:06, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8039, losses_bboxes: 0.4590, loss: 8.2629 2022-11-03 02:14:18,518 - mmdet - INFO - Epoch [6][6450/7390] lr: 1.000e-02, eta: 9:39:27, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8036, losses_bboxes: 0.4593, loss: 8.2629 2022-11-03 02:14:56,897 - mmdet - INFO - Epoch [6][6500/7390] lr: 1.000e-02, eta: 9:38:49, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8106, losses_bboxes: 0.4597, loss: 8.2703 2022-11-03 02:15:34,763 - mmdet - INFO - Epoch [6][6550/7390] lr: 1.000e-02, eta: 9:38:10, time: 0.757, data_time: 0.008, memory: 43494, loss_cls: 7.8013, losses_bboxes: 0.4589, loss: 8.2602 2022-11-03 02:16:13,497 - mmdet - INFO - Epoch [6][6600/7390] lr: 1.000e-02, eta: 9:37:32, time: 0.775, data_time: 0.008, memory: 43494, loss_cls: 7.8202, losses_bboxes: 0.4592, loss: 8.2794 2022-11-03 02:16:52,386 - mmdet - INFO - Epoch [6][6650/7390] lr: 1.000e-02, eta: 9:36:54, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8117, losses_bboxes: 0.4586, loss: 8.2703 2022-11-03 02:17:30,628 - mmdet - INFO - Epoch [6][6700/7390] lr: 1.000e-02, eta: 9:36:16, time: 0.765, data_time: 0.008, memory: 43494, loss_cls: 7.8150, losses_bboxes: 0.4583, loss: 8.2732 2022-11-03 02:18:09,206 - mmdet - INFO - Epoch [6][6750/7390] lr: 1.000e-02, eta: 9:35:37, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7989, losses_bboxes: 0.4605, loss: 8.2595 2022-11-03 02:18:47,165 - mmdet - INFO - Epoch [6][6800/7390] lr: 1.000e-02, eta: 9:34:59, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.8086, losses_bboxes: 0.4598, loss: 8.2684 2022-11-03 02:19:25,785 - mmdet - INFO - Epoch [6][6850/7390] lr: 1.000e-02, eta: 9:34:20, time: 0.772, data_time: 0.008, memory: 43494, loss_cls: 7.8129, losses_bboxes: 0.4581, loss: 8.2710 2022-11-03 02:20:03,062 - mmdet - INFO - Epoch [6][6900/7390] lr: 1.000e-02, eta: 9:33:41, time: 0.746, data_time: 0.009, memory: 43494, loss_cls: 7.8175, losses_bboxes: 0.4600, loss: 8.2775 2022-11-03 02:20:41,051 - mmdet - INFO - Epoch [6][6950/7390] lr: 1.000e-02, eta: 9:33:02, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.8104, losses_bboxes: 0.4596, loss: 8.2700 2022-11-03 02:21:19,597 - mmdet - INFO - Epoch [6][7000/7390] lr: 1.000e-02, eta: 9:32:24, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8106, losses_bboxes: 0.4597, loss: 8.2703 2022-11-03 02:21:57,611 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 02:21:57,611 - mmdet - INFO - Epoch [6][7050/7390] lr: 1.000e-02, eta: 9:31:45, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.8083, losses_bboxes: 0.4613, loss: 8.2696 2022-11-03 02:22:38,591 - mmdet - INFO - Epoch [6][7100/7390] lr: 1.000e-02, eta: 9:31:09, time: 0.820, data_time: 0.009, memory: 43494, loss_cls: 7.7992, losses_bboxes: 0.4580, loss: 8.2572 2022-11-03 02:23:16,659 - mmdet - INFO - Epoch [6][7150/7390] lr: 1.000e-02, eta: 9:30:31, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.8196, losses_bboxes: 0.4585, loss: 8.2780 2022-11-03 02:23:55,098 - mmdet - INFO - Epoch [6][7200/7390] lr: 1.000e-02, eta: 9:29:52, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8036, losses_bboxes: 0.4604, loss: 8.2640 2022-11-03 02:24:33,966 - mmdet - INFO - Epoch [6][7250/7390] lr: 1.000e-02, eta: 9:29:14, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.8009, losses_bboxes: 0.4610, loss: 8.2619 2022-11-03 02:25:12,449 - mmdet - INFO - Epoch [6][7300/7390] lr: 1.000e-02, eta: 9:28:36, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8062, losses_bboxes: 0.4577, loss: 8.2639 2022-11-03 02:25:51,302 - mmdet - INFO - Epoch [6][7350/7390] lr: 1.000e-02, eta: 9:27:58, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.8144, losses_bboxes: 0.4612, loss: 8.2756 2022-11-03 02:26:21,967 - mmdet - INFO - Saving checkpoint at 6 epochs 2022-11-03 02:27:04,574 - mmdet - INFO - Epoch [7][50/7390] lr: 1.000e-02, eta: 9:26:22, time: 0.831, data_time: 0.069, memory: 43494, loss_cls: 7.8095, losses_bboxes: 0.4595, loss: 8.2691 2022-11-03 02:27:43,238 - mmdet - INFO - Epoch [7][100/7390] lr: 1.000e-02, eta: 9:25:43, time: 0.773, data_time: 0.008, memory: 43494, loss_cls: 7.8028, losses_bboxes: 0.4589, loss: 8.2617 2022-11-03 02:28:22,588 - mmdet - INFO - Epoch [7][150/7390] lr: 1.000e-02, eta: 9:25:06, time: 0.787, data_time: 0.008, memory: 43494, loss_cls: 7.7932, losses_bboxes: 0.4600, loss: 8.2532 2022-11-03 02:29:01,020 - mmdet - INFO - Epoch [7][200/7390] lr: 1.000e-02, eta: 9:24:28, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8181, losses_bboxes: 0.4586, loss: 8.2766 2022-11-03 02:29:39,464 - mmdet - INFO - Epoch [7][250/7390] lr: 1.000e-02, eta: 9:23:50, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8007, losses_bboxes: 0.4583, loss: 8.2591 2022-11-03 02:30:17,827 - mmdet - INFO - Epoch [7][300/7390] lr: 1.000e-02, eta: 9:23:11, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8100, losses_bboxes: 0.4583, loss: 8.2684 2022-11-03 02:30:56,425 - mmdet - INFO - Epoch [7][350/7390] lr: 1.000e-02, eta: 9:22:33, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8214, losses_bboxes: 0.4599, loss: 8.2813 2022-11-03 02:31:34,937 - mmdet - INFO - Epoch [7][400/7390] lr: 1.000e-02, eta: 9:21:55, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8027, losses_bboxes: 0.4579, loss: 8.2606 2022-11-03 02:32:13,326 - mmdet - INFO - Epoch [7][450/7390] lr: 1.000e-02, eta: 9:21:16, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8140, losses_bboxes: 0.4603, loss: 8.2743 2022-11-03 02:32:51,896 - mmdet - INFO - Epoch [7][500/7390] lr: 1.000e-02, eta: 9:20:38, time: 0.771, data_time: 0.008, memory: 43494, loss_cls: 7.8067, losses_bboxes: 0.4616, loss: 8.2683 2022-11-03 02:33:30,853 - mmdet - INFO - Epoch [7][550/7390] lr: 1.000e-02, eta: 9:20:01, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.8002, losses_bboxes: 0.4599, loss: 8.2601 2022-11-03 02:34:08,982 - mmdet - INFO - Epoch [7][600/7390] lr: 1.000e-02, eta: 9:19:22, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8052, losses_bboxes: 0.4574, loss: 8.2626 2022-11-03 02:34:48,280 - mmdet - INFO - Epoch [7][650/7390] lr: 1.000e-02, eta: 9:18:44, time: 0.786, data_time: 0.009, memory: 43494, loss_cls: 7.8207, losses_bboxes: 0.4584, loss: 8.2791 2022-11-03 02:35:27,321 - mmdet - INFO - Epoch [7][700/7390] lr: 1.000e-02, eta: 9:18:07, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.8153, losses_bboxes: 0.4598, loss: 8.2751 2022-11-03 02:36:06,237 - mmdet - INFO - Epoch [7][750/7390] lr: 1.000e-02, eta: 9:17:29, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8149, losses_bboxes: 0.4593, loss: 8.2742 2022-11-03 02:36:45,190 - mmdet - INFO - Epoch [7][800/7390] lr: 1.000e-02, eta: 9:16:51, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.8110, losses_bboxes: 0.4577, loss: 8.2687 2022-11-03 02:37:23,281 - mmdet - INFO - Epoch [7][850/7390] lr: 1.000e-02, eta: 9:16:12, time: 0.762, data_time: 0.008, memory: 43494, loss_cls: 7.8019, losses_bboxes: 0.4579, loss: 8.2598 2022-11-03 02:38:01,860 - mmdet - INFO - Epoch [7][900/7390] lr: 1.000e-02, eta: 9:15:34, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8155, losses_bboxes: 0.4590, loss: 8.2745 2022-11-03 02:38:40,107 - mmdet - INFO - Epoch [7][950/7390] lr: 1.000e-02, eta: 9:14:56, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8016, losses_bboxes: 0.4570, loss: 8.2586 2022-11-03 02:39:18,597 - mmdet - INFO - Epoch [7][1000/7390] lr: 1.000e-02, eta: 9:14:18, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8020, losses_bboxes: 0.4588, loss: 8.2608 2022-11-03 02:39:57,049 - mmdet - INFO - Epoch [7][1050/7390] lr: 1.000e-02, eta: 9:13:39, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8105, losses_bboxes: 0.4598, loss: 8.2703 2022-11-03 02:40:35,598 - mmdet - INFO - Epoch [7][1100/7390] lr: 1.000e-02, eta: 9:13:01, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8068, losses_bboxes: 0.4602, loss: 8.2671 2022-11-03 02:41:14,119 - mmdet - INFO - Epoch [7][1150/7390] lr: 1.000e-02, eta: 9:12:23, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8088, losses_bboxes: 0.4611, loss: 8.2699 2022-11-03 02:41:52,485 - mmdet - INFO - Epoch [7][1200/7390] lr: 1.000e-02, eta: 9:11:44, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8041, losses_bboxes: 0.4593, loss: 8.2634 2022-11-03 02:42:30,772 - mmdet - INFO - Epoch [7][1250/7390] lr: 1.000e-02, eta: 9:11:06, time: 0.766, data_time: 0.008, memory: 43494, loss_cls: 7.8126, losses_bboxes: 0.4589, loss: 8.2715 2022-11-03 02:43:08,762 - mmdet - INFO - Epoch [7][1300/7390] lr: 1.000e-02, eta: 9:10:27, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.8036, losses_bboxes: 0.4592, loss: 8.2628 2022-11-03 02:43:46,241 - mmdet - INFO - Epoch [7][1350/7390] lr: 1.000e-02, eta: 9:09:48, time: 0.750, data_time: 0.009, memory: 43494, loss_cls: 7.8125, losses_bboxes: 0.4571, loss: 8.2696 2022-11-03 02:44:24,605 - mmdet - INFO - Epoch [7][1400/7390] lr: 1.000e-02, eta: 9:09:10, time: 0.767, data_time: 0.008, memory: 43494, loss_cls: 7.8032, losses_bboxes: 0.4588, loss: 8.2620 2022-11-03 02:45:03,140 - mmdet - INFO - Epoch [7][1450/7390] lr: 1.000e-02, eta: 9:08:32, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8091, losses_bboxes: 0.4602, loss: 8.2693 2022-11-03 02:45:41,251 - mmdet - INFO - Epoch [7][1500/7390] lr: 1.000e-02, eta: 9:07:53, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8002, losses_bboxes: 0.4597, loss: 8.2599 2022-11-03 02:46:19,936 - mmdet - INFO - Epoch [7][1550/7390] lr: 1.000e-02, eta: 9:07:15, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8093, losses_bboxes: 0.4594, loss: 8.2687 2022-11-03 02:46:58,205 - mmdet - INFO - Epoch [7][1600/7390] lr: 1.000e-02, eta: 9:06:36, time: 0.765, data_time: 0.008, memory: 43494, loss_cls: 7.8099, losses_bboxes: 0.4605, loss: 8.2703 2022-11-03 02:47:36,657 - mmdet - INFO - Epoch [7][1650/7390] lr: 1.000e-02, eta: 9:05:58, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8032, losses_bboxes: 0.4586, loss: 8.2618 2022-11-03 02:48:14,741 - mmdet - INFO - Epoch [7][1700/7390] lr: 1.000e-02, eta: 9:05:19, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8083, losses_bboxes: 0.4593, loss: 8.2676 2022-11-03 02:48:52,201 - mmdet - INFO - Epoch [7][1750/7390] lr: 1.000e-02, eta: 9:04:40, time: 0.749, data_time: 0.009, memory: 43494, loss_cls: 7.8070, losses_bboxes: 0.4590, loss: 8.2660 2022-11-03 02:49:30,889 - mmdet - INFO - Epoch [7][1800/7390] lr: 1.000e-02, eta: 9:04:02, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8042, losses_bboxes: 0.4586, loss: 8.2628 2022-11-03 02:50:08,864 - mmdet - INFO - Epoch [7][1850/7390] lr: 1.000e-02, eta: 9:03:23, time: 0.759, data_time: 0.008, memory: 43494, loss_cls: 7.8046, losses_bboxes: 0.4582, loss: 8.2629 2022-11-03 02:50:47,776 - mmdet - INFO - Epoch [7][1900/7390] lr: 1.000e-02, eta: 9:02:46, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8135, losses_bboxes: 0.4597, loss: 8.2732 2022-11-03 02:51:26,367 - mmdet - INFO - Epoch [7][1950/7390] lr: 1.000e-02, eta: 9:02:07, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8076, losses_bboxes: 0.4580, loss: 8.2656 2022-11-03 02:52:04,865 - mmdet - INFO - Epoch [7][2000/7390] lr: 1.000e-02, eta: 9:01:29, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8127, losses_bboxes: 0.4576, loss: 8.2703 2022-11-03 02:52:43,274 - mmdet - INFO - Epoch [7][2050/7390] lr: 1.000e-02, eta: 9:00:51, time: 0.768, data_time: 0.008, memory: 43494, loss_cls: 7.8026, losses_bboxes: 0.4598, loss: 8.2623 2022-11-03 02:53:21,668 - mmdet - INFO - Epoch [7][2100/7390] lr: 1.000e-02, eta: 9:00:12, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8173, losses_bboxes: 0.4589, loss: 8.2762 2022-11-03 02:54:00,486 - mmdet - INFO - Epoch [7][2150/7390] lr: 1.000e-02, eta: 8:59:35, time: 0.776, data_time: 0.008, memory: 43494, loss_cls: 7.8017, losses_bboxes: 0.4590, loss: 8.2607 2022-11-03 02:54:38,589 - mmdet - INFO - Epoch [7][2200/7390] lr: 1.000e-02, eta: 8:58:56, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8095, losses_bboxes: 0.4574, loss: 8.2669 2022-11-03 02:55:17,255 - mmdet - INFO - Epoch [7][2250/7390] lr: 1.000e-02, eta: 8:58:18, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8108, losses_bboxes: 0.4582, loss: 8.2690 2022-11-03 02:55:56,001 - mmdet - INFO - Epoch [7][2300/7390] lr: 1.000e-02, eta: 8:57:40, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8000, losses_bboxes: 0.4574, loss: 8.2574 2022-11-03 02:56:34,811 - mmdet - INFO - Epoch [7][2350/7390] lr: 1.000e-02, eta: 8:57:02, time: 0.776, data_time: 0.008, memory: 43494, loss_cls: 7.8096, losses_bboxes: 0.4581, loss: 8.2678 2022-11-03 02:57:13,190 - mmdet - INFO - Epoch [7][2400/7390] lr: 1.000e-02, eta: 8:56:23, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8156, losses_bboxes: 0.4610, loss: 8.2766 2022-11-03 02:57:51,548 - mmdet - INFO - Epoch [7][2450/7390] lr: 1.000e-02, eta: 8:55:45, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8216, losses_bboxes: 0.4582, loss: 8.2798 2022-11-03 02:58:29,989 - mmdet - INFO - Epoch [7][2500/7390] lr: 1.000e-02, eta: 8:55:07, time: 0.769, data_time: 0.008, memory: 43494, loss_cls: 7.8118, losses_bboxes: 0.4592, loss: 8.2710 2022-11-03 02:59:07,968 - mmdet - INFO - Epoch [7][2550/7390] lr: 1.000e-02, eta: 8:54:28, time: 0.760, data_time: 0.008, memory: 43494, loss_cls: 7.8085, losses_bboxes: 0.4573, loss: 8.2658 2022-11-03 02:59:45,974 - mmdet - INFO - Epoch [7][2600/7390] lr: 1.000e-02, eta: 8:53:49, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.8016, losses_bboxes: 0.4589, loss: 8.2605 2022-11-03 03:00:25,077 - mmdet - INFO - Epoch [7][2650/7390] lr: 1.000e-02, eta: 8:53:12, time: 0.782, data_time: 0.009, memory: 43494, loss_cls: 7.8086, losses_bboxes: 0.4609, loss: 8.2695 2022-11-03 03:01:03,797 - mmdet - INFO - Epoch [7][2700/7390] lr: 1.000e-02, eta: 8:52:34, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8054, losses_bboxes: 0.4581, loss: 8.2634 2022-11-03 03:01:42,435 - mmdet - INFO - Epoch [7][2750/7390] lr: 1.000e-02, eta: 8:51:55, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8127, losses_bboxes: 0.4580, loss: 8.2706 2022-11-03 03:02:21,293 - mmdet - INFO - Epoch [7][2800/7390] lr: 1.000e-02, eta: 8:51:18, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7995, losses_bboxes: 0.4586, loss: 8.2580 2022-11-03 03:02:59,946 - mmdet - INFO - Epoch [7][2850/7390] lr: 1.000e-02, eta: 8:50:39, time: 0.773, data_time: 0.008, memory: 43494, loss_cls: 7.8079, losses_bboxes: 0.4585, loss: 8.2664 2022-11-03 03:03:38,632 - mmdet - INFO - Epoch [7][2900/7390] lr: 1.000e-02, eta: 8:50:01, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8051, losses_bboxes: 0.4583, loss: 8.2634 2022-11-03 03:04:17,282 - mmdet - INFO - Epoch [7][2950/7390] lr: 1.000e-02, eta: 8:49:23, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8064, losses_bboxes: 0.4574, loss: 8.2638 2022-11-03 03:04:55,794 - mmdet - INFO - Epoch [7][3000/7390] lr: 1.000e-02, eta: 8:48:45, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8187, losses_bboxes: 0.4591, loss: 8.2778 2022-11-03 03:05:34,303 - mmdet - INFO - Epoch [7][3050/7390] lr: 1.000e-02, eta: 8:48:07, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8127, losses_bboxes: 0.4601, loss: 8.2727 2022-11-03 03:06:12,819 - mmdet - INFO - Epoch [7][3100/7390] lr: 1.000e-02, eta: 8:47:28, time: 0.770, data_time: 0.008, memory: 43494, loss_cls: 7.8182, losses_bboxes: 0.4597, loss: 8.2779 2022-11-03 03:06:51,035 - mmdet - INFO - Epoch [7][3150/7390] lr: 1.000e-02, eta: 8:46:50, time: 0.764, data_time: 0.008, memory: 43494, loss_cls: 7.8066, losses_bboxes: 0.4591, loss: 8.2657 2022-11-03 03:07:29,373 - mmdet - INFO - Epoch [7][3200/7390] lr: 1.000e-02, eta: 8:46:12, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7896, losses_bboxes: 0.4583, loss: 8.2479 2022-11-03 03:08:07,585 - mmdet - INFO - Epoch [7][3250/7390] lr: 1.000e-02, eta: 8:45:33, time: 0.764, data_time: 0.008, memory: 43494, loss_cls: 7.8158, losses_bboxes: 0.4577, loss: 8.2735 2022-11-03 03:08:45,929 - mmdet - INFO - Epoch [7][3300/7390] lr: 1.000e-02, eta: 8:44:55, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8175, losses_bboxes: 0.4584, loss: 8.2759 2022-11-03 03:09:24,809 - mmdet - INFO - Epoch [7][3350/7390] lr: 1.000e-02, eta: 8:44:17, time: 0.778, data_time: 0.008, memory: 43494, loss_cls: 7.8070, losses_bboxes: 0.4580, loss: 8.2650 2022-11-03 03:10:03,276 - mmdet - INFO - Epoch [7][3400/7390] lr: 1.000e-02, eta: 8:43:38, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8108, losses_bboxes: 0.4602, loss: 8.2710 2022-11-03 03:10:42,540 - mmdet - INFO - Epoch [7][3450/7390] lr: 1.000e-02, eta: 8:43:01, time: 0.785, data_time: 0.009, memory: 43494, loss_cls: 7.8022, losses_bboxes: 0.4586, loss: 8.2608 2022-11-03 03:11:21,344 - mmdet - INFO - Epoch [7][3500/7390] lr: 1.000e-02, eta: 8:42:23, time: 0.776, data_time: 0.008, memory: 43494, loss_cls: 7.8257, losses_bboxes: 0.4575, loss: 8.2833 2022-11-03 03:12:00,141 - mmdet - INFO - Epoch [7][3550/7390] lr: 1.000e-02, eta: 8:41:45, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8024, losses_bboxes: 0.4589, loss: 8.2612 2022-11-03 03:12:38,853 - mmdet - INFO - Epoch [7][3600/7390] lr: 1.000e-02, eta: 8:41:07, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8101, losses_bboxes: 0.4580, loss: 8.2681 2022-11-03 03:13:17,299 - mmdet - INFO - Epoch [7][3650/7390] lr: 1.000e-02, eta: 8:40:28, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8138, losses_bboxes: 0.4596, loss: 8.2735 2022-11-03 03:13:56,007 - mmdet - INFO - Epoch [7][3700/7390] lr: 1.000e-02, eta: 8:39:50, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7952, losses_bboxes: 0.4587, loss: 8.2538 2022-11-03 03:14:34,437 - mmdet - INFO - Epoch [7][3750/7390] lr: 1.000e-02, eta: 8:39:12, time: 0.769, data_time: 0.008, memory: 43494, loss_cls: 7.8079, losses_bboxes: 0.4574, loss: 8.2653 2022-11-03 03:15:13,048 - mmdet - INFO - Epoch [7][3800/7390] lr: 1.000e-02, eta: 8:38:34, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8028, losses_bboxes: 0.4596, loss: 8.2624 2022-11-03 03:15:51,623 - mmdet - INFO - Epoch [7][3850/7390] lr: 1.000e-02, eta: 8:37:56, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8069, losses_bboxes: 0.4585, loss: 8.2653 2022-11-03 03:16:30,248 - mmdet - INFO - Epoch [7][3900/7390] lr: 1.000e-02, eta: 8:37:17, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8001, losses_bboxes: 0.4586, loss: 8.2587 2022-11-03 03:17:08,784 - mmdet - INFO - Epoch [7][3950/7390] lr: 1.000e-02, eta: 8:36:39, time: 0.771, data_time: 0.008, memory: 43494, loss_cls: 7.8086, losses_bboxes: 0.4589, loss: 8.2675 2022-11-03 03:17:46,916 - mmdet - INFO - Epoch [7][4000/7390] lr: 1.000e-02, eta: 8:36:01, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8011, losses_bboxes: 0.4583, loss: 8.2594 2022-11-03 03:18:25,043 - mmdet - INFO - Epoch [7][4050/7390] lr: 1.000e-02, eta: 8:35:22, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8116, losses_bboxes: 0.4558, loss: 8.2673 2022-11-03 03:19:02,875 - mmdet - INFO - Epoch [7][4100/7390] lr: 1.000e-02, eta: 8:34:43, time: 0.757, data_time: 0.009, memory: 43494, loss_cls: 7.8108, losses_bboxes: 0.4582, loss: 8.2690 2022-11-03 03:19:41,084 - mmdet - INFO - Epoch [7][4150/7390] lr: 1.000e-02, eta: 8:34:05, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.8090, losses_bboxes: 0.4596, loss: 8.2686 2022-11-03 03:20:18,792 - mmdet - INFO - Epoch [7][4200/7390] lr: 1.000e-02, eta: 8:33:26, time: 0.754, data_time: 0.009, memory: 43494, loss_cls: 7.7968, losses_bboxes: 0.4562, loss: 8.2530 2022-11-03 03:20:58,339 - mmdet - INFO - Epoch [7][4250/7390] lr: 1.000e-02, eta: 8:32:48, time: 0.791, data_time: 0.009, memory: 43494, loss_cls: 7.8088, losses_bboxes: 0.4602, loss: 8.2690 2022-11-03 03:21:36,857 - mmdet - INFO - Epoch [7][4300/7390] lr: 1.000e-02, eta: 8:32:10, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8026, losses_bboxes: 0.4582, loss: 8.2608 2022-11-03 03:22:15,181 - mmdet - INFO - Epoch [7][4350/7390] lr: 1.000e-02, eta: 8:31:32, time: 0.766, data_time: 0.008, memory: 43494, loss_cls: 7.8070, losses_bboxes: 0.4584, loss: 8.2654 2022-11-03 03:22:53,722 - mmdet - INFO - Epoch [7][4400/7390] lr: 1.000e-02, eta: 8:30:53, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7991, losses_bboxes: 0.4576, loss: 8.2567 2022-11-03 03:23:32,172 - mmdet - INFO - Epoch [7][4450/7390] lr: 1.000e-02, eta: 8:30:15, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8078, losses_bboxes: 0.4584, loss: 8.2662 2022-11-03 03:24:10,249 - mmdet - INFO - Epoch [7][4500/7390] lr: 1.000e-02, eta: 8:29:36, time: 0.762, data_time: 0.008, memory: 43494, loss_cls: 7.8136, losses_bboxes: 0.4577, loss: 8.2712 2022-11-03 03:24:49,001 - mmdet - INFO - Epoch [7][4550/7390] lr: 1.000e-02, eta: 8:28:58, time: 0.775, data_time: 0.008, memory: 43494, loss_cls: 7.8105, losses_bboxes: 0.4566, loss: 8.2671 2022-11-03 03:25:27,565 - mmdet - INFO - Epoch [7][4600/7390] lr: 1.000e-02, eta: 8:28:20, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8043, losses_bboxes: 0.4574, loss: 8.2617 2022-11-03 03:26:06,222 - mmdet - INFO - Epoch [7][4650/7390] lr: 1.000e-02, eta: 8:27:42, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8016, losses_bboxes: 0.4568, loss: 8.2584 2022-11-03 03:26:44,883 - mmdet - INFO - Epoch [7][4700/7390] lr: 1.000e-02, eta: 8:27:04, time: 0.773, data_time: 0.008, memory: 43494, loss_cls: 7.8031, losses_bboxes: 0.4579, loss: 8.2610 2022-11-03 03:27:22,952 - mmdet - INFO - Epoch [7][4750/7390] lr: 1.000e-02, eta: 8:26:25, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.8044, losses_bboxes: 0.4568, loss: 8.2612 2022-11-03 03:28:01,402 - mmdet - INFO - Epoch [7][4800/7390] lr: 1.000e-02, eta: 8:25:47, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8060, losses_bboxes: 0.4568, loss: 8.2629 2022-11-03 03:28:40,138 - mmdet - INFO - Epoch [7][4850/7390] lr: 1.000e-02, eta: 8:25:09, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8035, losses_bboxes: 0.4586, loss: 8.2621 2022-11-03 03:29:18,554 - mmdet - INFO - Epoch [7][4900/7390] lr: 1.000e-02, eta: 8:24:31, time: 0.768, data_time: 0.008, memory: 43494, loss_cls: 7.8090, losses_bboxes: 0.4568, loss: 8.2657 2022-11-03 03:29:56,214 - mmdet - INFO - Epoch [7][4950/7390] lr: 1.000e-02, eta: 8:23:52, time: 0.753, data_time: 0.009, memory: 43494, loss_cls: 7.8045, losses_bboxes: 0.4575, loss: 8.2620 2022-11-03 03:30:34,978 - mmdet - INFO - Epoch [7][5000/7390] lr: 1.000e-02, eta: 8:23:14, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8156, losses_bboxes: 0.4582, loss: 8.2738 2022-11-03 03:31:13,609 - mmdet - INFO - Epoch [7][5050/7390] lr: 1.000e-02, eta: 8:22:35, time: 0.773, data_time: 0.008, memory: 43494, loss_cls: 7.8039, losses_bboxes: 0.4593, loss: 8.2632 2022-11-03 03:31:51,236 - mmdet - INFO - Epoch [7][5100/7390] lr: 1.000e-02, eta: 8:21:56, time: 0.753, data_time: 0.009, memory: 43494, loss_cls: 7.8019, losses_bboxes: 0.4580, loss: 8.2600 2022-11-03 03:32:29,424 - mmdet - INFO - Epoch [7][5150/7390] lr: 1.000e-02, eta: 8:21:18, time: 0.764, data_time: 0.008, memory: 43494, loss_cls: 7.8047, losses_bboxes: 0.4581, loss: 8.2628 2022-11-03 03:33:07,897 - mmdet - INFO - Epoch [7][5200/7390] lr: 1.000e-02, eta: 8:20:40, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8158, losses_bboxes: 0.4596, loss: 8.2754 2022-11-03 03:33:46,296 - mmdet - INFO - Epoch [7][5250/7390] lr: 1.000e-02, eta: 8:20:01, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8055, losses_bboxes: 0.4560, loss: 8.2615 2022-11-03 03:34:24,723 - mmdet - INFO - Epoch [7][5300/7390] lr: 1.000e-02, eta: 8:19:23, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8138, losses_bboxes: 0.4585, loss: 8.2723 2022-11-03 03:35:02,826 - mmdet - INFO - Epoch [7][5350/7390] lr: 1.000e-02, eta: 8:18:44, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8115, losses_bboxes: 0.4564, loss: 8.2679 2022-11-03 03:35:40,996 - mmdet - INFO - Epoch [7][5400/7390] lr: 1.000e-02, eta: 8:18:06, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8092, losses_bboxes: 0.4588, loss: 8.2680 2022-11-03 03:36:19,356 - mmdet - INFO - Epoch [7][5450/7390] lr: 1.000e-02, eta: 8:17:27, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8071, losses_bboxes: 0.4602, loss: 8.2673 2022-11-03 03:36:58,060 - mmdet - INFO - Epoch [7][5500/7390] lr: 1.000e-02, eta: 8:16:49, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8047, losses_bboxes: 0.4578, loss: 8.2625 2022-11-03 03:37:36,516 - mmdet - INFO - Epoch [7][5550/7390] lr: 1.000e-02, eta: 8:16:11, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8127, losses_bboxes: 0.4580, loss: 8.2707 2022-11-03 03:38:15,336 - mmdet - INFO - Epoch [7][5600/7390] lr: 1.000e-02, eta: 8:15:33, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8096, losses_bboxes: 0.4585, loss: 8.2681 2022-11-03 03:38:54,105 - mmdet - INFO - Epoch [7][5650/7390] lr: 1.000e-02, eta: 8:14:55, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.7979, losses_bboxes: 0.4589, loss: 8.2568 2022-11-03 03:39:32,657 - mmdet - INFO - Epoch [7][5700/7390] lr: 1.000e-02, eta: 8:14:17, time: 0.771, data_time: 0.008, memory: 43494, loss_cls: 7.8113, losses_bboxes: 0.4575, loss: 8.2687 2022-11-03 03:40:10,853 - mmdet - INFO - Epoch [7][5750/7390] lr: 1.000e-02, eta: 8:13:38, time: 0.764, data_time: 0.008, memory: 43494, loss_cls: 7.8104, losses_bboxes: 0.4571, loss: 8.2675 2022-11-03 03:40:49,240 - mmdet - INFO - Epoch [7][5800/7390] lr: 1.000e-02, eta: 8:13:00, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8058, losses_bboxes: 0.4580, loss: 8.2638 2022-11-03 03:41:27,039 - mmdet - INFO - Epoch [7][5850/7390] lr: 1.000e-02, eta: 8:12:21, time: 0.756, data_time: 0.008, memory: 43494, loss_cls: 7.8120, losses_bboxes: 0.4583, loss: 8.2703 2022-11-03 03:42:05,623 - mmdet - INFO - Epoch [7][5900/7390] lr: 1.000e-02, eta: 8:11:43, time: 0.772, data_time: 0.008, memory: 43494, loss_cls: 7.8014, losses_bboxes: 0.4567, loss: 8.2582 2022-11-03 03:42:44,103 - mmdet - INFO - Epoch [7][5950/7390] lr: 1.000e-02, eta: 8:11:04, time: 0.770, data_time: 0.008, memory: 43494, loss_cls: 7.7916, losses_bboxes: 0.4574, loss: 8.2490 2022-11-03 03:43:23,238 - mmdet - INFO - Epoch [7][6000/7390] lr: 1.000e-02, eta: 8:10:27, time: 0.783, data_time: 0.008, memory: 43494, loss_cls: 7.8081, losses_bboxes: 0.4577, loss: 8.2657 2022-11-03 03:44:01,419 - mmdet - INFO - Epoch [7][6050/7390] lr: 1.000e-02, eta: 8:09:48, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.8074, losses_bboxes: 0.4576, loss: 8.2651 2022-11-03 03:44:40,293 - mmdet - INFO - Epoch [7][6100/7390] lr: 1.000e-02, eta: 8:09:10, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8028, losses_bboxes: 0.4587, loss: 8.2615 2022-11-03 03:45:18,583 - mmdet - INFO - Epoch [7][6150/7390] lr: 1.000e-02, eta: 8:08:32, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.8032, losses_bboxes: 0.4574, loss: 8.2606 2022-11-03 03:45:57,017 - mmdet - INFO - Epoch [7][6200/7390] lr: 1.000e-02, eta: 8:07:53, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8097, losses_bboxes: 0.4591, loss: 8.2689 2022-11-03 03:46:35,001 - mmdet - INFO - Epoch [7][6250/7390] lr: 1.000e-02, eta: 8:07:15, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.8036, losses_bboxes: 0.4569, loss: 8.2605 2022-11-03 03:47:13,326 - mmdet - INFO - Epoch [7][6300/7390] lr: 1.000e-02, eta: 8:06:36, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8051, losses_bboxes: 0.4559, loss: 8.2610 2022-11-03 03:47:51,402 - mmdet - INFO - Epoch [7][6350/7390] lr: 1.000e-02, eta: 8:05:58, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8036, losses_bboxes: 0.4571, loss: 8.2606 2022-11-03 03:48:29,390 - mmdet - INFO - Epoch [7][6400/7390] lr: 1.000e-02, eta: 8:05:19, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.8050, losses_bboxes: 0.4569, loss: 8.2619 2022-11-03 03:49:07,978 - mmdet - INFO - Epoch [7][6450/7390] lr: 1.000e-02, eta: 8:04:41, time: 0.772, data_time: 0.008, memory: 43494, loss_cls: 7.7910, losses_bboxes: 0.4589, loss: 8.2498 2022-11-03 03:49:46,391 - mmdet - INFO - Epoch [7][6500/7390] lr: 1.000e-02, eta: 8:04:02, time: 0.768, data_time: 0.008, memory: 43494, loss_cls: 7.8027, losses_bboxes: 0.4570, loss: 8.2597 2022-11-03 03:50:25,179 - mmdet - INFO - Epoch [7][6550/7390] lr: 1.000e-02, eta: 8:03:24, time: 0.776, data_time: 0.008, memory: 43494, loss_cls: 7.8027, losses_bboxes: 0.4575, loss: 8.2602 2022-11-03 03:51:04,072 - mmdet - INFO - Epoch [7][6600/7390] lr: 1.000e-02, eta: 8:02:46, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8089, losses_bboxes: 0.4558, loss: 8.2647 2022-11-03 03:51:43,001 - mmdet - INFO - Epoch [7][6650/7390] lr: 1.000e-02, eta: 8:02:08, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.8073, losses_bboxes: 0.4594, loss: 8.2667 2022-11-03 03:52:21,146 - mmdet - INFO - Epoch [7][6700/7390] lr: 1.000e-02, eta: 8:01:30, time: 0.763, data_time: 0.008, memory: 43494, loss_cls: 7.8156, losses_bboxes: 0.4585, loss: 8.2741 2022-11-03 03:52:58,647 - mmdet - INFO - Epoch [7][6750/7390] lr: 1.000e-02, eta: 8:00:51, time: 0.750, data_time: 0.009, memory: 43494, loss_cls: 7.8024, losses_bboxes: 0.4556, loss: 8.2581 2022-11-03 03:53:36,408 - mmdet - INFO - Epoch [7][6800/7390] lr: 1.000e-02, eta: 8:00:12, time: 0.755, data_time: 0.009, memory: 43494, loss_cls: 7.8055, losses_bboxes: 0.4581, loss: 8.2637 2022-11-03 03:54:15,130 - mmdet - INFO - Epoch [7][6850/7390] lr: 1.000e-02, eta: 7:59:34, time: 0.774, data_time: 0.008, memory: 43494, loss_cls: 7.8011, losses_bboxes: 0.4574, loss: 8.2585 2022-11-03 03:54:53,516 - mmdet - INFO - Epoch [7][6900/7390] lr: 1.000e-02, eta: 7:58:55, time: 0.768, data_time: 0.008, memory: 43494, loss_cls: 7.8053, losses_bboxes: 0.4586, loss: 8.2639 2022-11-03 03:55:31,758 - mmdet - INFO - Epoch [7][6950/7390] lr: 1.000e-02, eta: 7:58:17, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8060, losses_bboxes: 0.4556, loss: 8.2616 2022-11-03 03:56:10,443 - mmdet - INFO - Epoch [7][7000/7390] lr: 1.000e-02, eta: 7:57:39, time: 0.774, data_time: 0.008, memory: 43494, loss_cls: 7.7961, losses_bboxes: 0.4562, loss: 8.2523 2022-11-03 03:56:49,176 - mmdet - INFO - Epoch [7][7050/7390] lr: 1.000e-02, eta: 7:57:01, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8087, losses_bboxes: 0.4582, loss: 8.2669 2022-11-03 03:57:27,722 - mmdet - INFO - Epoch [7][7100/7390] lr: 1.000e-02, eta: 7:56:22, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7929, losses_bboxes: 0.4573, loss: 8.2503 2022-11-03 03:58:06,177 - mmdet - INFO - Epoch [7][7150/7390] lr: 1.000e-02, eta: 7:55:44, time: 0.769, data_time: 0.008, memory: 43494, loss_cls: 7.8075, losses_bboxes: 0.4569, loss: 8.2644 2022-11-03 03:58:44,960 - mmdet - INFO - Epoch [7][7200/7390] lr: 1.000e-02, eta: 7:55:06, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8105, losses_bboxes: 0.4583, loss: 8.2688 2022-11-03 03:59:23,340 - mmdet - INFO - Epoch [7][7250/7390] lr: 1.000e-02, eta: 7:54:28, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8011, losses_bboxes: 0.4570, loss: 8.2581 2022-11-03 04:00:01,653 - mmdet - INFO - Epoch [7][7300/7390] lr: 1.000e-02, eta: 7:53:49, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.8072, losses_bboxes: 0.4581, loss: 8.2653 2022-11-03 04:00:39,893 - mmdet - INFO - Epoch [7][7350/7390] lr: 1.000e-02, eta: 7:53:11, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8021, losses_bboxes: 0.4564, loss: 8.2586 2022-11-03 04:01:11,593 - mmdet - INFO - Saving checkpoint at 7 epochs 2022-11-03 04:01:54,157 - mmdet - INFO - Epoch [8][50/7390] lr: 1.000e-02, eta: 7:51:42, time: 0.831, data_time: 0.070, memory: 43494, loss_cls: 7.8054, losses_bboxes: 0.4573, loss: 8.2627 2022-11-03 04:02:33,185 - mmdet - INFO - Epoch [8][100/7390] lr: 1.000e-02, eta: 7:51:04, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.8076, losses_bboxes: 0.4564, loss: 8.2640 2022-11-03 04:03:11,448 - mmdet - INFO - Epoch [8][150/7390] lr: 1.000e-02, eta: 7:50:26, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8083, losses_bboxes: 0.4572, loss: 8.2655 2022-11-03 04:03:49,735 - mmdet - INFO - Epoch [8][200/7390] lr: 1.000e-02, eta: 7:49:47, time: 0.766, data_time: 0.008, memory: 43494, loss_cls: 7.8140, losses_bboxes: 0.4580, loss: 8.2721 2022-11-03 04:04:28,197 - mmdet - INFO - Epoch [8][250/7390] lr: 1.000e-02, eta: 7:49:09, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8210, losses_bboxes: 0.4580, loss: 8.2790 2022-11-03 04:05:06,219 - mmdet - INFO - Epoch [8][300/7390] lr: 1.000e-02, eta: 7:48:31, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.8107, losses_bboxes: 0.4572, loss: 8.2679 2022-11-03 04:05:44,448 - mmdet - INFO - Epoch [8][350/7390] lr: 1.000e-02, eta: 7:47:52, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8003, losses_bboxes: 0.4582, loss: 8.2586 2022-11-03 04:06:23,473 - mmdet - INFO - Epoch [8][400/7390] lr: 1.000e-02, eta: 7:47:14, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.8074, losses_bboxes: 0.4567, loss: 8.2642 2022-11-03 04:07:01,977 - mmdet - INFO - Epoch [8][450/7390] lr: 1.000e-02, eta: 7:46:36, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8161, losses_bboxes: 0.4582, loss: 8.2743 2022-11-03 04:07:40,078 - mmdet - INFO - Epoch [8][500/7390] lr: 1.000e-02, eta: 7:45:57, time: 0.762, data_time: 0.008, memory: 43494, loss_cls: 7.8119, losses_bboxes: 0.4586, loss: 8.2705 2022-11-03 04:08:18,582 - mmdet - INFO - Epoch [8][550/7390] lr: 1.000e-02, eta: 7:45:19, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7996, losses_bboxes: 0.4577, loss: 8.2573 2022-11-03 04:08:57,546 - mmdet - INFO - Epoch [8][600/7390] lr: 1.000e-02, eta: 7:44:41, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.8132, losses_bboxes: 0.4569, loss: 8.2702 2022-11-03 04:09:36,209 - mmdet - INFO - Epoch [8][650/7390] lr: 1.000e-02, eta: 7:44:03, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7991, losses_bboxes: 0.4582, loss: 8.2573 2022-11-03 04:10:14,429 - mmdet - INFO - Epoch [8][700/7390] lr: 1.000e-02, eta: 7:43:25, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.8011, losses_bboxes: 0.4591, loss: 8.2602 2022-11-03 04:10:53,494 - mmdet - INFO - Epoch [8][750/7390] lr: 1.000e-02, eta: 7:42:47, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.8054, losses_bboxes: 0.4578, loss: 8.2632 2022-11-03 04:11:31,530 - mmdet - INFO - Epoch [8][800/7390] lr: 1.000e-02, eta: 7:42:08, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.8060, losses_bboxes: 0.4572, loss: 8.2632 2022-11-03 04:12:10,187 - mmdet - INFO - Epoch [8][850/7390] lr: 1.000e-02, eta: 7:41:30, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8114, losses_bboxes: 0.4573, loss: 8.2687 2022-11-03 04:12:49,001 - mmdet - INFO - Epoch [8][900/7390] lr: 1.000e-02, eta: 7:40:52, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8046, losses_bboxes: 0.4563, loss: 8.2609 2022-11-03 04:13:27,928 - mmdet - INFO - Epoch [8][950/7390] lr: 1.000e-02, eta: 7:40:14, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.8098, losses_bboxes: 0.4568, loss: 8.2665 2022-11-03 04:14:06,218 - mmdet - INFO - Epoch [8][1000/7390] lr: 1.000e-02, eta: 7:39:36, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.8015, losses_bboxes: 0.4579, loss: 8.2594 2022-11-03 04:14:44,300 - mmdet - INFO - Epoch [8][1050/7390] lr: 1.000e-02, eta: 7:38:57, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8177, losses_bboxes: 0.4558, loss: 8.2735 2022-11-03 04:15:23,034 - mmdet - INFO - Epoch [8][1100/7390] lr: 1.000e-02, eta: 7:38:19, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8005, losses_bboxes: 0.4574, loss: 8.2579 2022-11-03 04:16:01,962 - mmdet - INFO - Epoch [8][1150/7390] lr: 1.000e-02, eta: 7:37:41, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.8082, losses_bboxes: 0.4597, loss: 8.2679 2022-11-03 04:16:39,980 - mmdet - INFO - Epoch [8][1200/7390] lr: 1.000e-02, eta: 7:37:03, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.8069, losses_bboxes: 0.4577, loss: 8.2646 2022-11-03 04:17:18,014 - mmdet - INFO - Epoch [8][1250/7390] lr: 1.000e-02, eta: 7:36:24, time: 0.761, data_time: 0.008, memory: 43494, loss_cls: 7.7977, losses_bboxes: 0.4559, loss: 8.2536 2022-11-03 04:17:55,867 - mmdet - INFO - Epoch [8][1300/7390] lr: 1.000e-02, eta: 7:35:45, time: 0.757, data_time: 0.008, memory: 43494, loss_cls: 7.8057, losses_bboxes: 0.4579, loss: 8.2637 2022-11-03 04:18:34,291 - mmdet - INFO - Epoch [8][1350/7390] lr: 1.000e-02, eta: 7:35:07, time: 0.768, data_time: 0.008, memory: 43494, loss_cls: 7.8186, losses_bboxes: 0.4574, loss: 8.2760 2022-11-03 04:19:12,919 - mmdet - INFO - Epoch [8][1400/7390] lr: 1.000e-02, eta: 7:34:29, time: 0.773, data_time: 0.008, memory: 43494, loss_cls: 7.8162, losses_bboxes: 0.4579, loss: 8.2740 2022-11-03 04:19:51,053 - mmdet - INFO - Epoch [8][1450/7390] lr: 1.000e-02, eta: 7:33:50, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8076, losses_bboxes: 0.4567, loss: 8.2643 2022-11-03 04:20:29,748 - mmdet - INFO - Epoch [8][1500/7390] lr: 1.000e-02, eta: 7:33:12, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7994, losses_bboxes: 0.4581, loss: 8.2575 2022-11-03 04:21:08,448 - mmdet - INFO - Epoch [8][1550/7390] lr: 1.000e-02, eta: 7:32:34, time: 0.774, data_time: 0.008, memory: 43494, loss_cls: 7.8000, losses_bboxes: 0.4546, loss: 8.2547 2022-11-03 04:21:46,515 - mmdet - INFO - Epoch [8][1600/7390] lr: 1.000e-02, eta: 7:31:56, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.8074, losses_bboxes: 0.4582, loss: 8.2656 2022-11-03 04:22:24,883 - mmdet - INFO - Epoch [8][1650/7390] lr: 1.000e-02, eta: 7:31:17, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8007, losses_bboxes: 0.4559, loss: 8.2567 2022-11-03 04:23:03,224 - mmdet - INFO - Epoch [8][1700/7390] lr: 1.000e-02, eta: 7:30:39, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8036, losses_bboxes: 0.4550, loss: 8.2586 2022-11-03 04:23:40,892 - mmdet - INFO - Epoch [8][1750/7390] lr: 1.000e-02, eta: 7:30:00, time: 0.753, data_time: 0.009, memory: 43494, loss_cls: 7.8091, losses_bboxes: 0.4565, loss: 8.2656 2022-11-03 04:24:19,525 - mmdet - INFO - Epoch [8][1800/7390] lr: 1.000e-02, eta: 7:29:22, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8057, losses_bboxes: 0.4574, loss: 8.2631 2022-11-03 04:24:57,215 - mmdet - INFO - Epoch [8][1850/7390] lr: 1.000e-02, eta: 7:28:43, time: 0.754, data_time: 0.009, memory: 43494, loss_cls: 7.8009, losses_bboxes: 0.4553, loss: 8.2562 2022-11-03 04:25:35,790 - mmdet - INFO - Epoch [8][1900/7390] lr: 1.000e-02, eta: 7:28:05, time: 0.771, data_time: 0.008, memory: 43494, loss_cls: 7.8104, losses_bboxes: 0.4570, loss: 8.2674 2022-11-03 04:26:13,899 - mmdet - INFO - Epoch [8][1950/7390] lr: 1.000e-02, eta: 7:27:26, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7958, losses_bboxes: 0.4587, loss: 8.2545 2022-11-03 04:26:52,865 - mmdet - INFO - Epoch [8][2000/7390] lr: 1.000e-02, eta: 7:26:48, time: 0.779, data_time: 0.008, memory: 43494, loss_cls: 7.8034, losses_bboxes: 0.4577, loss: 8.2611 2022-11-03 04:27:31,651 - mmdet - INFO - Epoch [8][2050/7390] lr: 1.000e-02, eta: 7:26:10, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8052, losses_bboxes: 0.4573, loss: 8.2625 2022-11-03 04:28:10,328 - mmdet - INFO - Epoch [8][2100/7390] lr: 1.000e-02, eta: 7:25:32, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8029, losses_bboxes: 0.4586, loss: 8.2615 2022-11-03 04:28:48,449 - mmdet - INFO - Epoch [8][2150/7390] lr: 1.000e-02, eta: 7:24:54, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8032, losses_bboxes: 0.4565, loss: 8.2598 2022-11-03 04:29:26,925 - mmdet - INFO - Epoch [8][2200/7390] lr: 1.000e-02, eta: 7:24:15, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8076, losses_bboxes: 0.4569, loss: 8.2645 2022-11-03 04:30:05,505 - mmdet - INFO - Epoch [8][2250/7390] lr: 1.000e-02, eta: 7:23:37, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8045, losses_bboxes: 0.4568, loss: 8.2613 2022-11-03 04:30:43,646 - mmdet - INFO - Epoch [8][2300/7390] lr: 1.000e-02, eta: 7:22:59, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8001, losses_bboxes: 0.4575, loss: 8.2576 2022-11-03 04:31:21,348 - mmdet - INFO - Epoch [8][2350/7390] lr: 1.000e-02, eta: 7:22:20, time: 0.754, data_time: 0.009, memory: 43494, loss_cls: 7.7991, losses_bboxes: 0.4570, loss: 8.2561 2022-11-03 04:31:59,930 - mmdet - INFO - Epoch [8][2400/7390] lr: 1.000e-02, eta: 7:21:42, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7959, losses_bboxes: 0.4572, loss: 8.2532 2022-11-03 04:32:38,192 - mmdet - INFO - Epoch [8][2450/7390] lr: 1.000e-02, eta: 7:21:03, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8184, losses_bboxes: 0.4589, loss: 8.2773 2022-11-03 04:33:16,641 - mmdet - INFO - Epoch [8][2500/7390] lr: 1.000e-02, eta: 7:20:25, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8024, losses_bboxes: 0.4563, loss: 8.2587 2022-11-03 04:33:54,510 - mmdet - INFO - Epoch [8][2550/7390] lr: 1.000e-02, eta: 7:19:46, time: 0.757, data_time: 0.009, memory: 43494, loss_cls: 7.8022, losses_bboxes: 0.4564, loss: 8.2586 2022-11-03 04:34:33,102 - mmdet - INFO - Epoch [8][2600/7390] lr: 1.000e-02, eta: 7:19:08, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8014, losses_bboxes: 0.4579, loss: 8.2592 2022-11-03 04:35:11,579 - mmdet - INFO - Epoch [8][2650/7390] lr: 1.000e-02, eta: 7:18:30, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8031, losses_bboxes: 0.4599, loss: 8.2630 2022-11-03 04:35:50,000 - mmdet - INFO - Epoch [8][2700/7390] lr: 1.000e-02, eta: 7:17:52, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8064, losses_bboxes: 0.4544, loss: 8.2609 2022-11-03 04:36:27,790 - mmdet - INFO - Epoch [8][2750/7390] lr: 1.000e-02, eta: 7:17:13, time: 0.756, data_time: 0.009, memory: 43494, loss_cls: 7.8055, losses_bboxes: 0.4555, loss: 8.2610 2022-11-03 04:37:06,255 - mmdet - INFO - Epoch [8][2800/7390] lr: 1.000e-02, eta: 7:16:35, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7993, losses_bboxes: 0.4573, loss: 8.2566 2022-11-03 04:37:43,955 - mmdet - INFO - Epoch [8][2850/7390] lr: 1.000e-02, eta: 7:15:56, time: 0.754, data_time: 0.008, memory: 43494, loss_cls: 7.8184, losses_bboxes: 0.4585, loss: 8.2770 2022-11-03 04:38:22,115 - mmdet - INFO - Epoch [8][2900/7390] lr: 1.000e-02, eta: 7:15:17, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7967, losses_bboxes: 0.4570, loss: 8.2537 2022-11-03 04:39:00,246 - mmdet - INFO - Epoch [8][2950/7390] lr: 1.000e-02, eta: 7:14:39, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8087, losses_bboxes: 0.4583, loss: 8.2670 2022-11-03 04:39:38,502 - mmdet - INFO - Epoch [8][3000/7390] lr: 1.000e-02, eta: 7:14:00, time: 0.765, data_time: 0.008, memory: 43494, loss_cls: 7.8083, losses_bboxes: 0.4564, loss: 8.2648 2022-11-03 04:40:16,980 - mmdet - INFO - Epoch [8][3050/7390] lr: 1.000e-02, eta: 7:13:22, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8096, losses_bboxes: 0.4580, loss: 8.2676 2022-11-03 04:40:54,716 - mmdet - INFO - Epoch [8][3100/7390] lr: 1.000e-02, eta: 7:12:43, time: 0.755, data_time: 0.008, memory: 43494, loss_cls: 7.7971, losses_bboxes: 0.4577, loss: 8.2548 2022-11-03 04:41:33,392 - mmdet - INFO - Epoch [8][3150/7390] lr: 1.000e-02, eta: 7:12:05, time: 0.774, data_time: 0.008, memory: 43494, loss_cls: 7.8067, losses_bboxes: 0.4579, loss: 8.2646 2022-11-03 04:42:11,154 - mmdet - INFO - Epoch [8][3200/7390] lr: 1.000e-02, eta: 7:11:27, time: 0.755, data_time: 0.009, memory: 43494, loss_cls: 7.8014, losses_bboxes: 0.4580, loss: 8.2594 2022-11-03 04:42:49,982 - mmdet - INFO - Epoch [8][3250/7390] lr: 1.000e-02, eta: 7:10:48, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.8126, losses_bboxes: 0.4578, loss: 8.2705 2022-11-03 04:43:28,617 - mmdet - INFO - Epoch [8][3300/7390] lr: 1.000e-02, eta: 7:10:10, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8008, losses_bboxes: 0.4569, loss: 8.2577 2022-11-03 04:44:07,142 - mmdet - INFO - Epoch [8][3350/7390] lr: 1.000e-02, eta: 7:09:32, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8032, losses_bboxes: 0.4570, loss: 8.2602 2022-11-03 04:44:45,349 - mmdet - INFO - Epoch [8][3400/7390] lr: 1.000e-02, eta: 7:08:54, time: 0.764, data_time: 0.008, memory: 43494, loss_cls: 7.7980, losses_bboxes: 0.4568, loss: 8.2549 2022-11-03 04:45:23,541 - mmdet - INFO - Epoch [8][3450/7390] lr: 1.000e-02, eta: 7:08:15, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.7969, losses_bboxes: 0.4557, loss: 8.2526 2022-11-03 04:46:01,375 - mmdet - INFO - Epoch [8][3500/7390] lr: 1.000e-02, eta: 7:07:37, time: 0.757, data_time: 0.009, memory: 43494, loss_cls: 7.8227, losses_bboxes: 0.4568, loss: 8.2795 2022-11-03 04:46:39,242 - mmdet - INFO - Epoch [8][3550/7390] lr: 1.000e-02, eta: 7:06:58, time: 0.757, data_time: 0.008, memory: 43494, loss_cls: 7.8010, losses_bboxes: 0.4570, loss: 8.2580 2022-11-03 04:47:17,737 - mmdet - INFO - Epoch [8][3600/7390] lr: 1.000e-02, eta: 7:06:20, time: 0.770, data_time: 0.008, memory: 43494, loss_cls: 7.8037, losses_bboxes: 0.4576, loss: 8.2613 2022-11-03 04:47:56,156 - mmdet - INFO - Epoch [8][3650/7390] lr: 1.000e-02, eta: 7:05:41, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8104, losses_bboxes: 0.4546, loss: 8.2651 2022-11-03 04:48:34,986 - mmdet - INFO - Epoch [8][3700/7390] lr: 1.000e-02, eta: 7:05:03, time: 0.777, data_time: 0.008, memory: 43494, loss_cls: 7.8065, losses_bboxes: 0.4594, loss: 8.2659 2022-11-03 04:49:13,882 - mmdet - INFO - Epoch [8][3750/7390] lr: 1.000e-02, eta: 7:04:25, time: 0.778, data_time: 0.008, memory: 43494, loss_cls: 7.8027, losses_bboxes: 0.4571, loss: 8.2598 2022-11-03 04:49:52,381 - mmdet - INFO - Epoch [8][3800/7390] lr: 1.000e-02, eta: 7:03:47, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8053, losses_bboxes: 0.4589, loss: 8.2641 2022-11-03 04:50:30,354 - mmdet - INFO - Epoch [8][3850/7390] lr: 1.000e-02, eta: 7:03:08, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.8065, losses_bboxes: 0.4568, loss: 8.2633 2022-11-03 04:51:09,018 - mmdet - INFO - Epoch [8][3900/7390] lr: 1.000e-02, eta: 7:02:30, time: 0.773, data_time: 0.008, memory: 43494, loss_cls: 7.7986, losses_bboxes: 0.4568, loss: 8.2555 2022-11-03 04:51:47,985 - mmdet - INFO - Epoch [8][3950/7390] lr: 1.000e-02, eta: 7:01:52, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.8073, losses_bboxes: 0.4567, loss: 8.2639 2022-11-03 04:52:25,974 - mmdet - INFO - Epoch [8][4000/7390] lr: 1.000e-02, eta: 7:01:14, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.7978, losses_bboxes: 0.4579, loss: 8.2557 2022-11-03 04:53:04,059 - mmdet - INFO - Epoch [8][4050/7390] lr: 1.000e-02, eta: 7:00:35, time: 0.762, data_time: 0.008, memory: 43494, loss_cls: 7.8128, losses_bboxes: 0.4559, loss: 8.2687 2022-11-03 04:53:42,314 - mmdet - INFO - Epoch [8][4100/7390] lr: 1.000e-02, eta: 6:59:57, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8083, losses_bboxes: 0.4583, loss: 8.2666 2022-11-03 04:54:20,397 - mmdet - INFO - Epoch [8][4150/7390] lr: 1.000e-02, eta: 6:59:18, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8030, losses_bboxes: 0.4572, loss: 8.2602 2022-11-03 04:54:58,915 - mmdet - INFO - Epoch [8][4200/7390] lr: 1.000e-02, eta: 6:58:40, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8064, losses_bboxes: 0.4555, loss: 8.2619 2022-11-03 04:55:38,028 - mmdet - INFO - Epoch [8][4250/7390] lr: 1.000e-02, eta: 6:58:02, time: 0.782, data_time: 0.009, memory: 43494, loss_cls: 7.8046, losses_bboxes: 0.4582, loss: 8.2628 2022-11-03 04:56:16,510 - mmdet - INFO - Epoch [8][4300/7390] lr: 1.000e-02, eta: 6:57:24, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8060, losses_bboxes: 0.4576, loss: 8.2636 2022-11-03 04:56:54,942 - mmdet - INFO - Epoch [8][4350/7390] lr: 1.000e-02, eta: 6:56:45, time: 0.769, data_time: 0.008, memory: 43494, loss_cls: 7.8034, losses_bboxes: 0.4570, loss: 8.2604 2022-11-03 04:57:33,320 - mmdet - INFO - Epoch [8][4400/7390] lr: 1.000e-02, eta: 6:56:07, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.7967, losses_bboxes: 0.4556, loss: 8.2523 2022-11-03 04:58:11,499 - mmdet - INFO - Epoch [8][4450/7390] lr: 1.000e-02, eta: 6:55:29, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.8141, losses_bboxes: 0.4553, loss: 8.2694 2022-11-03 04:58:49,710 - mmdet - INFO - Epoch [8][4500/7390] lr: 1.000e-02, eta: 6:54:50, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.8043, losses_bboxes: 0.4566, loss: 8.2608 2022-11-03 04:59:28,272 - mmdet - INFO - Epoch [8][4550/7390] lr: 1.000e-02, eta: 6:54:12, time: 0.771, data_time: 0.008, memory: 43494, loss_cls: 7.8052, losses_bboxes: 0.4558, loss: 8.2611 2022-11-03 05:00:07,118 - mmdet - INFO - Epoch [8][4600/7390] lr: 1.000e-02, eta: 6:53:34, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7997, losses_bboxes: 0.4562, loss: 8.2559 2022-11-03 05:00:45,060 - mmdet - INFO - Epoch [8][4650/7390] lr: 1.000e-02, eta: 6:52:55, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.7977, losses_bboxes: 0.4572, loss: 8.2549 2022-11-03 05:01:23,812 - mmdet - INFO - Epoch [8][4700/7390] lr: 1.000e-02, eta: 6:52:17, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.7945, losses_bboxes: 0.4568, loss: 8.2514 2022-11-03 05:02:01,161 - mmdet - INFO - Epoch [8][4750/7390] lr: 1.000e-02, eta: 6:51:38, time: 0.747, data_time: 0.009, memory: 43494, loss_cls: 7.7931, losses_bboxes: 0.4567, loss: 8.2498 2022-11-03 05:02:38,764 - mmdet - INFO - Epoch [8][4800/7390] lr: 1.000e-02, eta: 6:51:00, time: 0.752, data_time: 0.008, memory: 43494, loss_cls: 7.8076, losses_bboxes: 0.4547, loss: 8.2623 2022-11-03 05:03:17,160 - mmdet - INFO - Epoch [8][4850/7390] lr: 1.000e-02, eta: 6:50:21, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8040, losses_bboxes: 0.4557, loss: 8.2596 2022-11-03 05:03:54,721 - mmdet - INFO - Epoch [8][4900/7390] lr: 1.000e-02, eta: 6:49:42, time: 0.751, data_time: 0.009, memory: 43494, loss_cls: 7.8066, losses_bboxes: 0.4569, loss: 8.2635 2022-11-03 05:04:33,335 - mmdet - INFO - Epoch [8][4950/7390] lr: 1.000e-02, eta: 6:49:04, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8042, losses_bboxes: 0.4570, loss: 8.2611 2022-11-03 05:05:11,386 - mmdet - INFO - Epoch [8][5000/7390] lr: 1.000e-02, eta: 6:48:26, time: 0.761, data_time: 0.008, memory: 43494, loss_cls: 7.8055, losses_bboxes: 0.4560, loss: 8.2615 2022-11-03 05:05:50,464 - mmdet - INFO - Epoch [8][5050/7390] lr: 1.000e-02, eta: 6:47:48, time: 0.782, data_time: 0.008, memory: 43494, loss_cls: 7.8056, losses_bboxes: 0.4577, loss: 8.2633 2022-11-03 05:06:29,088 - mmdet - INFO - Epoch [8][5100/7390] lr: 1.000e-02, eta: 6:47:10, time: 0.772, data_time: 0.008, memory: 43494, loss_cls: 7.7950, losses_bboxes: 0.4568, loss: 8.2518 2022-11-03 05:07:07,891 - mmdet - INFO - Epoch [8][5150/7390] lr: 1.000e-02, eta: 6:46:31, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8025, losses_bboxes: 0.4584, loss: 8.2608 2022-11-03 05:07:46,633 - mmdet - INFO - Epoch [8][5200/7390] lr: 1.000e-02, eta: 6:45:53, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8049, losses_bboxes: 0.4568, loss: 8.2617 2022-11-03 05:08:24,609 - mmdet - INFO - Epoch [8][5250/7390] lr: 1.000e-02, eta: 6:45:15, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.8000, losses_bboxes: 0.4568, loss: 8.2569 2022-11-03 05:09:03,032 - mmdet - INFO - Epoch [8][5300/7390] lr: 1.000e-02, eta: 6:44:36, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.7999, losses_bboxes: 0.4559, loss: 8.2558 2022-11-03 05:09:41,794 - mmdet - INFO - Epoch [8][5350/7390] lr: 1.000e-02, eta: 6:43:58, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8100, losses_bboxes: 0.4574, loss: 8.2674 2022-11-03 05:10:19,586 - mmdet - INFO - Epoch [8][5400/7390] lr: 1.000e-02, eta: 6:43:20, time: 0.756, data_time: 0.008, memory: 43494, loss_cls: 7.7891, losses_bboxes: 0.4541, loss: 8.2432 2022-11-03 05:10:58,396 - mmdet - INFO - Epoch [8][5450/7390] lr: 1.000e-02, eta: 6:42:42, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8026, losses_bboxes: 0.4559, loss: 8.2585 2022-11-03 05:11:36,879 - mmdet - INFO - Epoch [8][5500/7390] lr: 1.000e-02, eta: 6:42:03, time: 0.770, data_time: 0.008, memory: 43494, loss_cls: 7.8011, losses_bboxes: 0.4547, loss: 8.2558 2022-11-03 05:12:15,659 - mmdet - INFO - Epoch [8][5550/7390] lr: 1.000e-02, eta: 6:41:25, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8064, losses_bboxes: 0.4565, loss: 8.2629 2022-11-03 05:12:54,306 - mmdet - INFO - Epoch [8][5600/7390] lr: 1.000e-02, eta: 6:40:47, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8073, losses_bboxes: 0.4581, loss: 8.2654 2022-11-03 05:13:32,374 - mmdet - INFO - Epoch [8][5650/7390] lr: 1.000e-02, eta: 6:40:08, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.7967, losses_bboxes: 0.4553, loss: 8.2520 2022-11-03 05:14:10,508 - mmdet - INFO - Epoch [8][5700/7390] lr: 1.000e-02, eta: 6:39:30, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8058, losses_bboxes: 0.4561, loss: 8.2620 2022-11-03 05:14:48,520 - mmdet - INFO - Epoch [8][5750/7390] lr: 1.000e-02, eta: 6:38:51, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.8135, losses_bboxes: 0.4565, loss: 8.2700 2022-11-03 05:15:26,941 - mmdet - INFO - Epoch [8][5800/7390] lr: 1.000e-02, eta: 6:38:13, time: 0.768, data_time: 0.008, memory: 43494, loss_cls: 7.8030, losses_bboxes: 0.4551, loss: 8.2581 2022-11-03 05:16:05,311 - mmdet - INFO - Epoch [8][5850/7390] lr: 1.000e-02, eta: 6:37:35, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8115, losses_bboxes: 0.4552, loss: 8.2668 2022-11-03 05:16:44,090 - mmdet - INFO - Epoch [8][5900/7390] lr: 1.000e-02, eta: 6:36:57, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.7996, losses_bboxes: 0.4567, loss: 8.2562 2022-11-03 05:17:23,358 - mmdet - INFO - Epoch [8][5950/7390] lr: 1.000e-02, eta: 6:36:19, time: 0.785, data_time: 0.008, memory: 43494, loss_cls: 7.8005, losses_bboxes: 0.4557, loss: 8.2561 2022-11-03 05:18:02,591 - mmdet - INFO - Epoch [8][6000/7390] lr: 1.000e-02, eta: 6:35:41, time: 0.785, data_time: 0.008, memory: 43494, loss_cls: 7.8049, losses_bboxes: 0.4587, loss: 8.2637 2022-11-03 05:18:40,880 - mmdet - INFO - Epoch [8][6050/7390] lr: 1.000e-02, eta: 6:35:03, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.8039, losses_bboxes: 0.4535, loss: 8.2573 2022-11-03 05:19:19,476 - mmdet - INFO - Epoch [8][6100/7390] lr: 1.000e-02, eta: 6:34:24, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8041, losses_bboxes: 0.4562, loss: 8.2603 2022-11-03 05:19:58,079 - mmdet - INFO - Epoch [8][6150/7390] lr: 1.000e-02, eta: 6:33:46, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7972, losses_bboxes: 0.4565, loss: 8.2537 2022-11-03 05:20:36,311 - mmdet - INFO - Epoch [8][6200/7390] lr: 1.000e-02, eta: 6:33:08, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8095, losses_bboxes: 0.4584, loss: 8.2679 2022-11-03 05:21:14,115 - mmdet - INFO - Epoch [8][6250/7390] lr: 1.000e-02, eta: 6:32:29, time: 0.756, data_time: 0.009, memory: 43494, loss_cls: 7.8015, losses_bboxes: 0.4563, loss: 8.2577 2022-11-03 05:21:52,859 - mmdet - INFO - Epoch [8][6300/7390] lr: 1.000e-02, eta: 6:31:51, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8134, losses_bboxes: 0.4571, loss: 8.2705 2022-11-03 05:22:31,508 - mmdet - INFO - Epoch [8][6350/7390] lr: 1.000e-02, eta: 6:31:13, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8013, losses_bboxes: 0.4566, loss: 8.2580 2022-11-03 05:23:09,879 - mmdet - INFO - Epoch [8][6400/7390] lr: 1.000e-02, eta: 6:30:34, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7983, losses_bboxes: 0.4542, loss: 8.2525 2022-11-03 05:23:47,971 - mmdet - INFO - Epoch [8][6450/7390] lr: 1.000e-02, eta: 6:29:56, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7995, losses_bboxes: 0.4565, loss: 8.2560 2022-11-03 05:24:26,532 - mmdet - INFO - Epoch [8][6500/7390] lr: 1.000e-02, eta: 6:29:18, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8007, losses_bboxes: 0.4559, loss: 8.2566 2022-11-03 05:25:04,983 - mmdet - INFO - Epoch [8][6550/7390] lr: 1.000e-02, eta: 6:28:39, time: 0.769, data_time: 0.008, memory: 43494, loss_cls: 7.8051, losses_bboxes: 0.4566, loss: 8.2617 2022-11-03 05:25:44,107 - mmdet - INFO - Epoch [8][6600/7390] lr: 1.000e-02, eta: 6:28:01, time: 0.782, data_time: 0.009, memory: 43494, loss_cls: 7.8126, losses_bboxes: 0.4569, loss: 8.2695 2022-11-03 05:26:23,247 - mmdet - INFO - Epoch [8][6650/7390] lr: 1.000e-02, eta: 6:27:23, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.8136, losses_bboxes: 0.4575, loss: 8.2711 2022-11-03 05:27:02,021 - mmdet - INFO - Epoch [8][6700/7390] lr: 1.000e-02, eta: 6:26:45, time: 0.775, data_time: 0.008, memory: 43494, loss_cls: 7.8026, losses_bboxes: 0.4561, loss: 8.2587 2022-11-03 05:27:40,116 - mmdet - INFO - Epoch [8][6750/7390] lr: 1.000e-02, eta: 6:26:07, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8062, losses_bboxes: 0.4564, loss: 8.2625 2022-11-03 05:28:18,282 - mmdet - INFO - Epoch [8][6800/7390] lr: 1.000e-02, eta: 6:25:28, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7977, losses_bboxes: 0.4547, loss: 8.2525 2022-11-03 05:28:56,731 - mmdet - INFO - Epoch [8][6850/7390] lr: 1.000e-02, eta: 6:24:50, time: 0.769, data_time: 0.008, memory: 43494, loss_cls: 7.8034, losses_bboxes: 0.4535, loss: 8.2569 2022-11-03 05:29:35,507 - mmdet - INFO - Epoch [8][6900/7390] lr: 1.000e-02, eta: 6:24:12, time: 0.775, data_time: 0.008, memory: 43494, loss_cls: 7.8118, losses_bboxes: 0.4567, loss: 8.2685 2022-11-03 05:30:13,793 - mmdet - INFO - Epoch [8][6950/7390] lr: 1.000e-02, eta: 6:23:33, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7992, losses_bboxes: 0.4554, loss: 8.2546 2022-11-03 05:30:52,365 - mmdet - INFO - Epoch [8][7000/7390] lr: 1.000e-02, eta: 6:22:55, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7961, losses_bboxes: 0.4543, loss: 8.2504 2022-11-03 05:31:30,937 - mmdet - INFO - Epoch [8][7050/7390] lr: 1.000e-02, eta: 6:22:17, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7956, losses_bboxes: 0.4561, loss: 8.2516 2022-11-03 05:32:09,375 - mmdet - INFO - Epoch [8][7100/7390] lr: 1.000e-02, eta: 6:21:39, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8011, losses_bboxes: 0.4563, loss: 8.2574 2022-11-03 05:32:48,370 - mmdet - INFO - Epoch [8][7150/7390] lr: 1.000e-02, eta: 6:21:01, time: 0.780, data_time: 0.008, memory: 43494, loss_cls: 7.8095, losses_bboxes: 0.4556, loss: 8.2651 2022-11-03 05:33:26,736 - mmdet - INFO - Epoch [8][7200/7390] lr: 1.000e-02, eta: 6:20:22, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8053, losses_bboxes: 0.4571, loss: 8.2624 2022-11-03 05:34:04,946 - mmdet - INFO - Epoch [8][7250/7390] lr: 1.000e-02, eta: 6:19:44, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.7983, losses_bboxes: 0.4546, loss: 8.2529 2022-11-03 05:34:44,031 - mmdet - INFO - Epoch [8][7300/7390] lr: 1.000e-02, eta: 6:19:06, time: 0.782, data_time: 0.009, memory: 43494, loss_cls: 7.8060, losses_bboxes: 0.4558, loss: 8.2618 2022-11-03 05:35:22,524 - mmdet - INFO - Epoch [8][7350/7390] lr: 1.000e-02, eta: 6:18:28, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7980, losses_bboxes: 0.4553, loss: 8.2534 2022-11-03 05:35:53,272 - mmdet - INFO - Saving checkpoint at 8 epochs 2022-11-03 05:36:36,127 - mmdet - INFO - Epoch [9][50/7390] lr: 1.000e-03, eta: 6:17:05, time: 0.837, data_time: 0.068, memory: 43494, loss_cls: 7.8094, losses_bboxes: 0.4550, loss: 8.2644 2022-11-03 05:37:14,225 - mmdet - INFO - Epoch [9][100/7390] lr: 1.000e-03, eta: 6:16:26, time: 0.762, data_time: 0.008, memory: 43494, loss_cls: 7.8003, losses_bboxes: 0.4530, loss: 8.2534 2022-11-03 05:37:52,573 - mmdet - INFO - Epoch [9][150/7390] lr: 1.000e-03, eta: 6:15:48, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8026, losses_bboxes: 0.4557, loss: 8.2583 2022-11-03 05:38:30,531 - mmdet - INFO - Epoch [9][200/7390] lr: 1.000e-03, eta: 6:15:10, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.8009, losses_bboxes: 0.4558, loss: 8.2568 2022-11-03 05:39:08,966 - mmdet - INFO - Epoch [9][250/7390] lr: 1.000e-03, eta: 6:14:31, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7925, losses_bboxes: 0.4557, loss: 8.2482 2022-11-03 05:39:47,592 - mmdet - INFO - Epoch [9][300/7390] lr: 1.000e-03, eta: 6:13:53, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7935, losses_bboxes: 0.4554, loss: 8.2489 2022-11-03 05:40:26,191 - mmdet - INFO - Epoch [9][350/7390] lr: 1.000e-03, eta: 6:13:15, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8070, losses_bboxes: 0.4538, loss: 8.2608 2022-11-03 05:41:05,465 - mmdet - INFO - Epoch [9][400/7390] lr: 1.000e-03, eta: 6:12:37, time: 0.785, data_time: 0.009, memory: 43494, loss_cls: 7.7929, losses_bboxes: 0.4539, loss: 8.2468 2022-11-03 05:41:44,089 - mmdet - INFO - Epoch [9][450/7390] lr: 1.000e-03, eta: 6:11:59, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7975, losses_bboxes: 0.4550, loss: 8.2525 2022-11-03 05:42:21,456 - mmdet - INFO - Epoch [9][500/7390] lr: 1.000e-03, eta: 6:11:20, time: 0.747, data_time: 0.009, memory: 43494, loss_cls: 7.7994, losses_bboxes: 0.4552, loss: 8.2546 2022-11-03 05:42:59,339 - mmdet - INFO - Epoch [9][550/7390] lr: 1.000e-03, eta: 6:10:41, time: 0.758, data_time: 0.009, memory: 43494, loss_cls: 7.8031, losses_bboxes: 0.4542, loss: 8.2573 2022-11-03 05:43:38,107 - mmdet - INFO - Epoch [9][600/7390] lr: 1.000e-03, eta: 6:10:03, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8027, losses_bboxes: 0.4547, loss: 8.2573 2022-11-03 05:44:16,334 - mmdet - INFO - Epoch [9][650/7390] lr: 1.000e-03, eta: 6:09:25, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8023, losses_bboxes: 0.4569, loss: 8.2593 2022-11-03 05:44:54,685 - mmdet - INFO - Epoch [9][700/7390] lr: 1.000e-03, eta: 6:08:47, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7938, losses_bboxes: 0.4558, loss: 8.2496 2022-11-03 05:45:33,389 - mmdet - INFO - Epoch [9][750/7390] lr: 1.000e-03, eta: 6:08:08, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7969, losses_bboxes: 0.4570, loss: 8.2539 2022-11-03 05:46:11,626 - mmdet - INFO - Epoch [9][800/7390] lr: 1.000e-03, eta: 6:07:30, time: 0.765, data_time: 0.008, memory: 43494, loss_cls: 7.7970, losses_bboxes: 0.4536, loss: 8.2507 2022-11-03 05:46:49,883 - mmdet - INFO - Epoch [9][850/7390] lr: 1.000e-03, eta: 6:06:52, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8098, losses_bboxes: 0.4548, loss: 8.2646 2022-11-03 05:47:28,384 - mmdet - INFO - Epoch [9][900/7390] lr: 1.000e-03, eta: 6:06:13, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8019, losses_bboxes: 0.4538, loss: 8.2557 2022-11-03 05:48:07,174 - mmdet - INFO - Epoch [9][950/7390] lr: 1.000e-03, eta: 6:05:35, time: 0.776, data_time: 0.008, memory: 43494, loss_cls: 7.8040, losses_bboxes: 0.4548, loss: 8.2588 2022-11-03 05:48:46,296 - mmdet - INFO - Epoch [9][1000/7390] lr: 1.000e-03, eta: 6:04:57, time: 0.782, data_time: 0.009, memory: 43494, loss_cls: 7.7976, losses_bboxes: 0.4549, loss: 8.2525 2022-11-03 05:49:25,003 - mmdet - INFO - Epoch [9][1050/7390] lr: 1.000e-03, eta: 6:04:19, time: 0.774, data_time: 0.008, memory: 43494, loss_cls: 7.8092, losses_bboxes: 0.4538, loss: 8.2630 2022-11-03 05:50:03,268 - mmdet - INFO - Epoch [9][1100/7390] lr: 1.000e-03, eta: 6:03:41, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7967, losses_bboxes: 0.4535, loss: 8.2502 2022-11-03 05:50:41,771 - mmdet - INFO - Epoch [9][1150/7390] lr: 1.000e-03, eta: 6:03:03, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7965, losses_bboxes: 0.4560, loss: 8.2525 2022-11-03 05:51:19,923 - mmdet - INFO - Epoch [9][1200/7390] lr: 1.000e-03, eta: 6:02:24, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8026, losses_bboxes: 0.4562, loss: 8.2589 2022-11-03 05:51:58,297 - mmdet - INFO - Epoch [9][1250/7390] lr: 1.000e-03, eta: 6:01:46, time: 0.767, data_time: 0.008, memory: 43494, loss_cls: 7.7939, losses_bboxes: 0.4546, loss: 8.2484 2022-11-03 05:52:36,643 - mmdet - INFO - Epoch [9][1300/7390] lr: 1.000e-03, eta: 6:01:08, time: 0.767, data_time: 0.008, memory: 43494, loss_cls: 7.7990, losses_bboxes: 0.4544, loss: 8.2534 2022-11-03 05:53:14,781 - mmdet - INFO - Epoch [9][1350/7390] lr: 1.000e-03, eta: 6:00:29, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7975, losses_bboxes: 0.4544, loss: 8.2519 2022-11-03 05:53:53,665 - mmdet - INFO - Epoch [9][1400/7390] lr: 1.000e-03, eta: 5:59:51, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7936, losses_bboxes: 0.4537, loss: 8.2473 2022-11-03 05:54:32,831 - mmdet - INFO - Epoch [9][1450/7390] lr: 1.000e-03, eta: 5:59:13, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.7981, losses_bboxes: 0.4554, loss: 8.2534 2022-11-03 05:55:12,388 - mmdet - INFO - Epoch [9][1500/7390] lr: 1.000e-03, eta: 5:58:35, time: 0.791, data_time: 0.009, memory: 43494, loss_cls: 7.7905, losses_bboxes: 0.4551, loss: 8.2456 2022-11-03 05:55:50,654 - mmdet - INFO - Epoch [9][1550/7390] lr: 1.000e-03, eta: 5:57:57, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7930, losses_bboxes: 0.4532, loss: 8.2462 2022-11-03 05:56:29,400 - mmdet - INFO - Epoch [9][1600/7390] lr: 1.000e-03, eta: 5:57:19, time: 0.775, data_time: 0.008, memory: 43494, loss_cls: 7.7951, losses_bboxes: 0.4556, loss: 8.2507 2022-11-03 05:57:07,107 - mmdet - INFO - Epoch [9][1650/7390] lr: 1.000e-03, eta: 5:56:40, time: 0.754, data_time: 0.009, memory: 43494, loss_cls: 7.7965, losses_bboxes: 0.4554, loss: 8.2519 2022-11-03 05:57:45,833 - mmdet - INFO - Epoch [9][1700/7390] lr: 1.000e-03, eta: 5:56:02, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8059, losses_bboxes: 0.4567, loss: 8.2626 2022-11-03 05:58:24,217 - mmdet - INFO - Epoch [9][1750/7390] lr: 1.000e-03, eta: 5:55:24, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.7957, losses_bboxes: 0.4526, loss: 8.2483 2022-11-03 05:59:02,759 - mmdet - INFO - Epoch [9][1800/7390] lr: 1.000e-03, eta: 5:54:45, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7989, losses_bboxes: 0.4538, loss: 8.2526 2022-11-03 05:59:41,016 - mmdet - INFO - Epoch [9][1850/7390] lr: 1.000e-03, eta: 5:54:07, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8048, losses_bboxes: 0.4539, loss: 8.2588 2022-11-03 06:00:19,509 - mmdet - INFO - Epoch [9][1900/7390] lr: 1.000e-03, eta: 5:53:29, time: 0.770, data_time: 0.008, memory: 43494, loss_cls: 7.7984, losses_bboxes: 0.4543, loss: 8.2527 2022-11-03 06:00:57,804 - mmdet - INFO - Epoch [9][1950/7390] lr: 1.000e-03, eta: 5:52:50, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7985, losses_bboxes: 0.4536, loss: 8.2521 2022-11-03 06:01:36,793 - mmdet - INFO - Epoch [9][2000/7390] lr: 1.000e-03, eta: 5:52:12, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7972, losses_bboxes: 0.4545, loss: 8.2516 2022-11-03 06:02:14,709 - mmdet - INFO - Epoch [9][2050/7390] lr: 1.000e-03, eta: 5:51:34, time: 0.758, data_time: 0.009, memory: 43494, loss_cls: 7.7917, losses_bboxes: 0.4533, loss: 8.2450 2022-11-03 06:02:53,252 - mmdet - INFO - Epoch [9][2100/7390] lr: 1.000e-03, eta: 5:50:56, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8055, losses_bboxes: 0.4546, loss: 8.2601 2022-11-03 06:03:32,004 - mmdet - INFO - Epoch [9][2150/7390] lr: 1.000e-03, eta: 5:50:17, time: 0.775, data_time: 0.008, memory: 43494, loss_cls: 7.7996, losses_bboxes: 0.4536, loss: 8.2532 2022-11-03 06:04:10,895 - mmdet - INFO - Epoch [9][2200/7390] lr: 1.000e-03, eta: 5:49:39, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7954, losses_bboxes: 0.4550, loss: 8.2504 2022-11-03 06:04:49,820 - mmdet - INFO - Epoch [9][2250/7390] lr: 1.000e-03, eta: 5:49:01, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8002, losses_bboxes: 0.4544, loss: 8.2546 2022-11-03 06:05:28,710 - mmdet - INFO - Epoch [9][2300/7390] lr: 1.000e-03, eta: 5:48:23, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7989, losses_bboxes: 0.4544, loss: 8.2533 2022-11-03 06:06:07,016 - mmdet - INFO - Epoch [9][2350/7390] lr: 1.000e-03, eta: 5:47:45, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.8043, losses_bboxes: 0.4535, loss: 8.2577 2022-11-03 06:06:46,043 - mmdet - INFO - Epoch [9][2400/7390] lr: 1.000e-03, eta: 5:47:07, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.8022, losses_bboxes: 0.4552, loss: 8.2574 2022-11-03 06:07:24,596 - mmdet - INFO - Epoch [9][2450/7390] lr: 1.000e-03, eta: 5:46:29, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7938, losses_bboxes: 0.4558, loss: 8.2496 2022-11-03 06:08:02,214 - mmdet - INFO - Epoch [9][2500/7390] lr: 1.000e-03, eta: 5:45:50, time: 0.752, data_time: 0.008, memory: 43494, loss_cls: 7.7986, losses_bboxes: 0.4548, loss: 8.2534 2022-11-03 06:08:40,275 - mmdet - INFO - Epoch [9][2550/7390] lr: 1.000e-03, eta: 5:45:11, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.8004, losses_bboxes: 0.4552, loss: 8.2557 2022-11-03 06:09:18,173 - mmdet - INFO - Epoch [9][2600/7390] lr: 1.000e-03, eta: 5:44:33, time: 0.758, data_time: 0.008, memory: 43494, loss_cls: 7.8019, losses_bboxes: 0.4526, loss: 8.2544 2022-11-03 06:09:57,703 - mmdet - INFO - Epoch [9][2650/7390] lr: 1.000e-03, eta: 5:43:55, time: 0.791, data_time: 0.008, memory: 43494, loss_cls: 7.7954, losses_bboxes: 0.4559, loss: 8.2513 2022-11-03 06:10:36,682 - mmdet - INFO - Epoch [9][2700/7390] lr: 1.000e-03, eta: 5:43:17, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7906, losses_bboxes: 0.4529, loss: 8.2435 2022-11-03 06:11:14,874 - mmdet - INFO - Epoch [9][2750/7390] lr: 1.000e-03, eta: 5:42:39, time: 0.764, data_time: 0.008, memory: 43494, loss_cls: 7.7967, losses_bboxes: 0.4526, loss: 8.2493 2022-11-03 06:11:53,664 - mmdet - INFO - Epoch [9][2800/7390] lr: 1.000e-03, eta: 5:42:00, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8029, losses_bboxes: 0.4563, loss: 8.2593 2022-11-03 06:12:32,455 - mmdet - INFO - Epoch [9][2850/7390] lr: 1.000e-03, eta: 5:41:22, time: 0.776, data_time: 0.008, memory: 43494, loss_cls: 7.8073, losses_bboxes: 0.4538, loss: 8.2611 2022-11-03 06:13:11,135 - mmdet - INFO - Epoch [9][2900/7390] lr: 1.000e-03, eta: 5:40:44, time: 0.774, data_time: 0.008, memory: 43494, loss_cls: 7.8086, losses_bboxes: 0.4533, loss: 8.2620 2022-11-03 06:13:50,180 - mmdet - INFO - Epoch [9][2950/7390] lr: 1.000e-03, eta: 5:40:06, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.8021, losses_bboxes: 0.4532, loss: 8.2552 2022-11-03 06:14:28,523 - mmdet - INFO - Epoch [9][3000/7390] lr: 1.000e-03, eta: 5:39:28, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7945, losses_bboxes: 0.4546, loss: 8.2491 2022-11-03 06:15:06,587 - mmdet - INFO - Epoch [9][3050/7390] lr: 1.000e-03, eta: 5:38:49, time: 0.761, data_time: 0.008, memory: 43494, loss_cls: 7.7988, losses_bboxes: 0.4537, loss: 8.2525 2022-11-03 06:15:44,978 - mmdet - INFO - Epoch [9][3100/7390] lr: 1.000e-03, eta: 5:38:11, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8077, losses_bboxes: 0.4544, loss: 8.2621 2022-11-03 06:16:24,010 - mmdet - INFO - Epoch [9][3150/7390] lr: 1.000e-03, eta: 5:37:33, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.8068, losses_bboxes: 0.4547, loss: 8.2615 2022-11-03 06:17:03,165 - mmdet - INFO - Epoch [9][3200/7390] lr: 1.000e-03, eta: 5:36:55, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.7960, losses_bboxes: 0.4551, loss: 8.2510 2022-11-03 06:17:41,434 - mmdet - INFO - Epoch [9][3250/7390] lr: 1.000e-03, eta: 5:36:16, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8026, losses_bboxes: 0.4545, loss: 8.2571 2022-11-03 06:18:19,705 - mmdet - INFO - Epoch [9][3300/7390] lr: 1.000e-03, eta: 5:35:38, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8015, losses_bboxes: 0.4550, loss: 8.2564 2022-11-03 06:18:58,402 - mmdet - INFO - Epoch [9][3350/7390] lr: 1.000e-03, eta: 5:35:00, time: 0.774, data_time: 0.008, memory: 43494, loss_cls: 7.7978, losses_bboxes: 0.4548, loss: 8.2527 2022-11-03 06:19:36,674 - mmdet - INFO - Epoch [9][3400/7390] lr: 1.000e-03, eta: 5:34:22, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8087, losses_bboxes: 0.4533, loss: 8.2620 2022-11-03 06:20:15,420 - mmdet - INFO - Epoch [9][3450/7390] lr: 1.000e-03, eta: 5:33:43, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8001, losses_bboxes: 0.4543, loss: 8.2543 2022-11-03 06:20:53,648 - mmdet - INFO - Epoch [9][3500/7390] lr: 1.000e-03, eta: 5:33:05, time: 0.765, data_time: 0.008, memory: 43494, loss_cls: 7.8036, losses_bboxes: 0.4539, loss: 8.2575 2022-11-03 06:21:31,784 - mmdet - INFO - Epoch [9][3550/7390] lr: 1.000e-03, eta: 5:32:27, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7981, losses_bboxes: 0.4539, loss: 8.2520 2022-11-03 06:22:10,295 - mmdet - INFO - Epoch [9][3600/7390] lr: 1.000e-03, eta: 5:31:48, time: 0.770, data_time: 0.008, memory: 43494, loss_cls: 7.8059, losses_bboxes: 0.4512, loss: 8.2571 2022-11-03 06:22:49,053 - mmdet - INFO - Epoch [9][3650/7390] lr: 1.000e-03, eta: 5:31:10, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8023, losses_bboxes: 0.4537, loss: 8.2560 2022-11-03 06:23:27,318 - mmdet - INFO - Epoch [9][3700/7390] lr: 1.000e-03, eta: 5:30:32, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7969, losses_bboxes: 0.4547, loss: 8.2515 2022-11-03 06:24:05,559 - mmdet - INFO - Epoch [9][3750/7390] lr: 1.000e-03, eta: 5:29:53, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8050, losses_bboxes: 0.4539, loss: 8.2589 2022-11-03 06:24:44,521 - mmdet - INFO - Epoch [9][3800/7390] lr: 1.000e-03, eta: 5:29:15, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.7962, losses_bboxes: 0.4548, loss: 8.2510 2022-11-03 06:25:22,768 - mmdet - INFO - Epoch [9][3850/7390] lr: 1.000e-03, eta: 5:28:37, time: 0.765, data_time: 0.008, memory: 43494, loss_cls: 7.7955, losses_bboxes: 0.4555, loss: 8.2510 2022-11-03 06:26:01,763 - mmdet - INFO - Epoch [9][3900/7390] lr: 1.000e-03, eta: 5:27:59, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7978, losses_bboxes: 0.4555, loss: 8.2533 2022-11-03 06:26:40,304 - mmdet - INFO - Epoch [9][3950/7390] lr: 1.000e-03, eta: 5:27:20, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8010, losses_bboxes: 0.4545, loss: 8.2555 2022-11-03 06:27:18,566 - mmdet - INFO - Epoch [9][4000/7390] lr: 1.000e-03, eta: 5:26:42, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7982, losses_bboxes: 0.4544, loss: 8.2527 2022-11-03 06:27:57,622 - mmdet - INFO - Epoch [9][4050/7390] lr: 1.000e-03, eta: 5:26:04, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.8018, losses_bboxes: 0.4541, loss: 8.2559 2022-11-03 06:28:35,896 - mmdet - INFO - Epoch [9][4100/7390] lr: 1.000e-03, eta: 5:25:26, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8023, losses_bboxes: 0.4555, loss: 8.2578 2022-11-03 06:29:14,199 - mmdet - INFO - Epoch [9][4150/7390] lr: 1.000e-03, eta: 5:24:47, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7990, losses_bboxes: 0.4546, loss: 8.2536 2022-11-03 06:29:53,051 - mmdet - INFO - Epoch [9][4200/7390] lr: 1.000e-03, eta: 5:24:09, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7979, losses_bboxes: 0.4541, loss: 8.2520 2022-11-03 06:30:32,079 - mmdet - INFO - Epoch [9][4250/7390] lr: 1.000e-03, eta: 5:23:31, time: 0.781, data_time: 0.008, memory: 43494, loss_cls: 7.8101, losses_bboxes: 0.4550, loss: 8.2652 2022-11-03 06:31:10,666 - mmdet - INFO - Epoch [9][4300/7390] lr: 1.000e-03, eta: 5:22:53, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7979, losses_bboxes: 0.4539, loss: 8.2517 2022-11-03 06:31:48,754 - mmdet - INFO - Epoch [9][4350/7390] lr: 1.000e-03, eta: 5:22:14, time: 0.762, data_time: 0.008, memory: 43494, loss_cls: 7.8011, losses_bboxes: 0.4537, loss: 8.2548 2022-11-03 06:32:27,723 - mmdet - INFO - Epoch [9][4400/7390] lr: 1.000e-03, eta: 5:21:36, time: 0.779, data_time: 0.008, memory: 43494, loss_cls: 7.7928, losses_bboxes: 0.4540, loss: 8.2468 2022-11-03 06:33:06,148 - mmdet - INFO - Epoch [9][4450/7390] lr: 1.000e-03, eta: 5:20:58, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8001, losses_bboxes: 0.4511, loss: 8.2512 2022-11-03 06:33:44,617 - mmdet - INFO - Epoch [9][4500/7390] lr: 1.000e-03, eta: 5:20:20, time: 0.769, data_time: 0.008, memory: 43494, loss_cls: 7.8001, losses_bboxes: 0.4549, loss: 8.2550 2022-11-03 06:34:23,092 - mmdet - INFO - Epoch [9][4550/7390] lr: 1.000e-03, eta: 5:19:41, time: 0.769, data_time: 0.008, memory: 43494, loss_cls: 7.8010, losses_bboxes: 0.4537, loss: 8.2547 2022-11-03 06:35:01,941 - mmdet - INFO - Epoch [9][4600/7390] lr: 1.000e-03, eta: 5:19:03, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7883, losses_bboxes: 0.4535, loss: 8.2418 2022-11-03 06:35:40,110 - mmdet - INFO - Epoch [9][4650/7390] lr: 1.000e-03, eta: 5:18:25, time: 0.763, data_time: 0.008, memory: 43494, loss_cls: 7.7959, losses_bboxes: 0.4526, loss: 8.2485 2022-11-03 06:36:18,905 - mmdet - INFO - Epoch [9][4700/7390] lr: 1.000e-03, eta: 5:17:47, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.7928, losses_bboxes: 0.4546, loss: 8.2474 2022-11-03 06:36:57,899 - mmdet - INFO - Epoch [9][4750/7390] lr: 1.000e-03, eta: 5:17:08, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7981, losses_bboxes: 0.4543, loss: 8.2524 2022-11-03 06:37:36,574 - mmdet - INFO - Epoch [9][4800/7390] lr: 1.000e-03, eta: 5:16:30, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8019, losses_bboxes: 0.4541, loss: 8.2560 2022-11-03 06:38:15,044 - mmdet - INFO - Epoch [9][4850/7390] lr: 1.000e-03, eta: 5:15:52, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8021, losses_bboxes: 0.4537, loss: 8.2558 2022-11-03 06:38:53,124 - mmdet - INFO - Epoch [9][4900/7390] lr: 1.000e-03, eta: 5:15:14, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7964, losses_bboxes: 0.4530, loss: 8.2494 2022-11-03 06:39:32,026 - mmdet - INFO - Epoch [9][4950/7390] lr: 1.000e-03, eta: 5:14:35, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8055, losses_bboxes: 0.4536, loss: 8.2591 2022-11-03 06:40:10,601 - mmdet - INFO - Epoch [9][5000/7390] lr: 1.000e-03, eta: 5:13:57, time: 0.771, data_time: 0.008, memory: 43494, loss_cls: 7.7963, losses_bboxes: 0.4535, loss: 8.2498 2022-11-03 06:40:48,908 - mmdet - INFO - Epoch [9][5050/7390] lr: 1.000e-03, eta: 5:13:19, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7966, losses_bboxes: 0.4545, loss: 8.2511 2022-11-03 06:41:26,919 - mmdet - INFO - Epoch [9][5100/7390] lr: 1.000e-03, eta: 5:12:40, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.7997, losses_bboxes: 0.4529, loss: 8.2526 2022-11-03 06:42:05,435 - mmdet - INFO - Epoch [9][5150/7390] lr: 1.000e-03, eta: 5:12:02, time: 0.770, data_time: 0.008, memory: 43494, loss_cls: 7.7994, losses_bboxes: 0.4552, loss: 8.2546 2022-11-03 06:42:49,013 - mmdet - INFO - Epoch [9][5200/7390] lr: 1.000e-03, eta: 5:11:26, time: 0.872, data_time: 0.009, memory: 43494, loss_cls: 7.7992, losses_bboxes: 0.4541, loss: 8.2533 2022-11-03 06:43:26,866 - mmdet - INFO - Epoch [9][5250/7390] lr: 1.000e-03, eta: 5:10:47, time: 0.757, data_time: 0.009, memory: 43494, loss_cls: 7.7957, losses_bboxes: 0.4547, loss: 8.2505 2022-11-03 06:44:05,776 - mmdet - INFO - Epoch [9][5300/7390] lr: 1.000e-03, eta: 5:10:09, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7963, losses_bboxes: 0.4527, loss: 8.2490 2022-11-03 06:44:44,187 - mmdet - INFO - Epoch [9][5350/7390] lr: 1.000e-03, eta: 5:09:31, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8087, losses_bboxes: 0.4543, loss: 8.2631 2022-11-03 06:45:24,708 - mmdet - INFO - Epoch [9][5400/7390] lr: 1.000e-03, eta: 5:08:53, time: 0.810, data_time: 0.008, memory: 43494, loss_cls: 7.7979, losses_bboxes: 0.4526, loss: 8.2505 2022-11-03 06:46:03,820 - mmdet - INFO - Epoch [9][5450/7390] lr: 1.000e-03, eta: 5:08:15, time: 0.782, data_time: 0.009, memory: 43494, loss_cls: 7.7862, losses_bboxes: 0.4532, loss: 8.2393 2022-11-03 06:46:44,369 - mmdet - INFO - Epoch [9][5500/7390] lr: 1.000e-03, eta: 5:07:37, time: 0.811, data_time: 0.008, memory: 43494, loss_cls: 7.7982, losses_bboxes: 0.4541, loss: 8.2522 2022-11-03 06:47:22,809 - mmdet - INFO - Epoch [9][5550/7390] lr: 1.000e-03, eta: 5:06:59, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7995, losses_bboxes: 0.4537, loss: 8.2531 2022-11-03 06:48:01,644 - mmdet - INFO - Epoch [9][5600/7390] lr: 1.000e-03, eta: 5:06:21, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7986, losses_bboxes: 0.4534, loss: 8.2520 2022-11-03 06:48:40,035 - mmdet - INFO - Epoch [9][5650/7390] lr: 1.000e-03, eta: 5:05:43, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.7895, losses_bboxes: 0.4526, loss: 8.2420 2022-11-03 06:49:21,324 - mmdet - INFO - Epoch [9][5700/7390] lr: 1.000e-03, eta: 5:05:05, time: 0.826, data_time: 0.009, memory: 43494, loss_cls: 7.8038, losses_bboxes: 0.4544, loss: 8.2581 2022-11-03 06:50:02,255 - mmdet - INFO - Epoch [9][5750/7390] lr: 1.000e-03, eta: 5:04:28, time: 0.819, data_time: 0.009, memory: 43494, loss_cls: 7.7923, losses_bboxes: 0.4550, loss: 8.2472 2022-11-03 06:50:41,106 - mmdet - INFO - Epoch [9][5800/7390] lr: 1.000e-03, eta: 5:03:50, time: 0.777, data_time: 0.008, memory: 43494, loss_cls: 7.7931, losses_bboxes: 0.4533, loss: 8.2464 2022-11-03 06:51:24,364 - mmdet - INFO - Epoch [9][5850/7390] lr: 1.000e-03, eta: 5:03:13, time: 0.865, data_time: 0.009, memory: 43494, loss_cls: 7.8019, losses_bboxes: 0.4539, loss: 8.2558 2022-11-03 06:52:02,924 - mmdet - INFO - Epoch [9][5900/7390] lr: 1.000e-03, eta: 5:02:35, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7967, losses_bboxes: 0.4532, loss: 8.2499 2022-11-03 06:52:41,246 - mmdet - INFO - Epoch [9][5950/7390] lr: 1.000e-03, eta: 5:01:56, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.8013, losses_bboxes: 0.4550, loss: 8.2563 2022-11-03 06:53:19,920 - mmdet - INFO - Epoch [9][6000/7390] lr: 1.000e-03, eta: 5:01:18, time: 0.773, data_time: 0.008, memory: 43494, loss_cls: 7.8082, losses_bboxes: 0.4560, loss: 8.2643 2022-11-03 06:53:58,676 - mmdet - INFO - Epoch [9][6050/7390] lr: 1.000e-03, eta: 5:00:40, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.7898, losses_bboxes: 0.4544, loss: 8.2441 2022-11-03 06:54:36,962 - mmdet - INFO - Epoch [9][6100/7390] lr: 1.000e-03, eta: 5:00:02, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7895, losses_bboxes: 0.4550, loss: 8.2444 2022-11-03 06:55:15,915 - mmdet - INFO - Epoch [9][6150/7390] lr: 1.000e-03, eta: 4:59:23, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.7912, losses_bboxes: 0.4541, loss: 8.2453 2022-11-03 06:55:54,533 - mmdet - INFO - Epoch [9][6200/7390] lr: 1.000e-03, eta: 4:58:45, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8068, losses_bboxes: 0.4549, loss: 8.2617 2022-11-03 06:56:32,807 - mmdet - INFO - Epoch [9][6250/7390] lr: 1.000e-03, eta: 4:58:07, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7957, losses_bboxes: 0.4518, loss: 8.2475 2022-11-03 06:57:10,445 - mmdet - INFO - Epoch [9][6300/7390] lr: 1.000e-03, eta: 4:57:28, time: 0.753, data_time: 0.009, memory: 43494, loss_cls: 7.7925, losses_bboxes: 0.4549, loss: 8.2473 2022-11-03 06:57:49,022 - mmdet - INFO - Epoch [9][6350/7390] lr: 1.000e-03, eta: 4:56:50, time: 0.772, data_time: 0.008, memory: 43494, loss_cls: 7.7982, losses_bboxes: 0.4566, loss: 8.2548 2022-11-03 06:58:27,124 - mmdet - INFO - Epoch [9][6400/7390] lr: 1.000e-03, eta: 4:56:11, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7940, losses_bboxes: 0.4539, loss: 8.2479 2022-11-03 06:59:05,397 - mmdet - INFO - Epoch [9][6450/7390] lr: 1.000e-03, eta: 4:55:33, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7949, losses_bboxes: 0.4563, loss: 8.2512 2022-11-03 06:59:43,949 - mmdet - INFO - Epoch [9][6500/7390] lr: 1.000e-03, eta: 4:54:55, time: 0.771, data_time: 0.008, memory: 43494, loss_cls: 7.7867, losses_bboxes: 0.4554, loss: 8.2421 2022-11-03 07:00:22,427 - mmdet - INFO - Epoch [9][6550/7390] lr: 1.000e-03, eta: 4:54:16, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7897, losses_bboxes: 0.4533, loss: 8.2430 2022-11-03 07:01:00,913 - mmdet - INFO - Epoch [9][6600/7390] lr: 1.000e-03, eta: 4:53:38, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7970, losses_bboxes: 0.4531, loss: 8.2500 2022-11-03 07:01:38,852 - mmdet - INFO - Epoch [9][6650/7390] lr: 1.000e-03, eta: 4:52:59, time: 0.759, data_time: 0.008, memory: 43494, loss_cls: 7.8009, losses_bboxes: 0.4542, loss: 8.2551 2022-11-03 07:02:17,509 - mmdet - INFO - Epoch [9][6700/7390] lr: 1.000e-03, eta: 4:52:21, time: 0.773, data_time: 0.008, memory: 43494, loss_cls: 7.7976, losses_bboxes: 0.4528, loss: 8.2503 2022-11-03 07:02:56,878 - mmdet - INFO - Epoch [9][6750/7390] lr: 1.000e-03, eta: 4:51:43, time: 0.787, data_time: 0.009, memory: 43494, loss_cls: 7.8029, losses_bboxes: 0.4550, loss: 8.2579 2022-11-03 07:03:34,831 - mmdet - INFO - Epoch [9][6800/7390] lr: 1.000e-03, eta: 4:51:05, time: 0.759, data_time: 0.008, memory: 43494, loss_cls: 7.7904, losses_bboxes: 0.4526, loss: 8.2430 2022-11-03 07:04:13,590 - mmdet - INFO - Epoch [9][6850/7390] lr: 1.000e-03, eta: 4:50:26, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.7962, losses_bboxes: 0.4535, loss: 8.2497 2022-11-03 07:04:51,899 - mmdet - INFO - Epoch [9][6900/7390] lr: 1.000e-03, eta: 4:49:48, time: 0.766, data_time: 0.008, memory: 43494, loss_cls: 7.7984, losses_bboxes: 0.4540, loss: 8.2524 2022-11-03 07:05:30,010 - mmdet - INFO - Epoch [9][6950/7390] lr: 1.000e-03, eta: 4:49:10, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7994, losses_bboxes: 0.4562, loss: 8.2556 2022-11-03 07:06:09,058 - mmdet - INFO - Epoch [9][7000/7390] lr: 1.000e-03, eta: 4:48:31, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.8012, losses_bboxes: 0.4530, loss: 8.2542 2022-11-03 07:06:46,802 - mmdet - INFO - Epoch [9][7050/7390] lr: 1.000e-03, eta: 4:47:53, time: 0.755, data_time: 0.009, memory: 43494, loss_cls: 7.7827, losses_bboxes: 0.4543, loss: 8.2371 2022-11-03 07:07:24,939 - mmdet - INFO - Epoch [9][7100/7390] lr: 1.000e-03, eta: 4:47:14, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7955, losses_bboxes: 0.4553, loss: 8.2508 2022-11-03 07:08:03,262 - mmdet - INFO - Epoch [9][7150/7390] lr: 1.000e-03, eta: 4:46:36, time: 0.766, data_time: 0.008, memory: 43494, loss_cls: 7.8064, losses_bboxes: 0.4525, loss: 8.2589 2022-11-03 07:08:41,438 - mmdet - INFO - Epoch [9][7200/7390] lr: 1.000e-03, eta: 4:45:58, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.7947, losses_bboxes: 0.4540, loss: 8.2487 2022-11-03 07:09:19,852 - mmdet - INFO - Epoch [9][7250/7390] lr: 1.000e-03, eta: 4:45:19, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.7918, losses_bboxes: 0.4541, loss: 8.2459 2022-11-03 07:09:57,676 - mmdet - INFO - Epoch [9][7300/7390] lr: 1.000e-03, eta: 4:44:41, time: 0.756, data_time: 0.009, memory: 43494, loss_cls: 7.7897, losses_bboxes: 0.4531, loss: 8.2428 2022-11-03 07:10:35,886 - mmdet - INFO - Epoch [9][7350/7390] lr: 1.000e-03, eta: 4:44:02, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.7952, losses_bboxes: 0.4536, loss: 8.2487 2022-11-03 07:11:06,328 - mmdet - INFO - Saving checkpoint at 9 epochs 2022-11-03 07:11:49,632 - mmdet - INFO - Epoch [10][50/7390] lr: 1.000e-03, eta: 4:42:44, time: 0.846, data_time: 0.069, memory: 43494, loss_cls: 7.8069, losses_bboxes: 0.4504, loss: 8.2573 2022-11-03 07:12:27,982 - mmdet - INFO - Epoch [10][100/7390] lr: 1.000e-03, eta: 4:42:06, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7965, losses_bboxes: 0.4522, loss: 8.2487 2022-11-03 07:13:06,524 - mmdet - INFO - Epoch [10][150/7390] lr: 1.000e-03, eta: 4:41:28, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7974, losses_bboxes: 0.4553, loss: 8.2527 2022-11-03 07:13:45,279 - mmdet - INFO - Epoch [10][200/7390] lr: 1.000e-03, eta: 4:40:49, time: 0.775, data_time: 0.008, memory: 43494, loss_cls: 7.7963, losses_bboxes: 0.4562, loss: 8.2525 2022-11-03 07:14:24,423 - mmdet - INFO - Epoch [10][250/7390] lr: 1.000e-03, eta: 4:40:11, time: 0.783, data_time: 0.008, memory: 43494, loss_cls: 7.7952, losses_bboxes: 0.4554, loss: 8.2506 2022-11-03 07:15:03,289 - mmdet - INFO - Epoch [10][300/7390] lr: 1.000e-03, eta: 4:39:33, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7946, losses_bboxes: 0.4545, loss: 8.2491 2022-11-03 07:15:41,993 - mmdet - INFO - Epoch [10][350/7390] lr: 1.000e-03, eta: 4:38:55, time: 0.774, data_time: 0.008, memory: 43494, loss_cls: 7.8009, losses_bboxes: 0.4536, loss: 8.2545 2022-11-03 07:16:20,612 - mmdet - INFO - Epoch [10][400/7390] lr: 1.000e-03, eta: 4:38:17, time: 0.772, data_time: 0.008, memory: 43494, loss_cls: 7.8027, losses_bboxes: 0.4523, loss: 8.2550 2022-11-03 07:16:59,257 - mmdet - INFO - Epoch [10][450/7390] lr: 1.000e-03, eta: 4:37:38, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7941, losses_bboxes: 0.4519, loss: 8.2460 2022-11-03 07:17:37,170 - mmdet - INFO - Epoch [10][500/7390] lr: 1.000e-03, eta: 4:37:00, time: 0.758, data_time: 0.009, memory: 43494, loss_cls: 7.7988, losses_bboxes: 0.4551, loss: 8.2540 2022-11-03 07:18:15,942 - mmdet - INFO - Epoch [10][550/7390] lr: 1.000e-03, eta: 4:36:22, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.7921, losses_bboxes: 0.4533, loss: 8.2453 2022-11-03 07:18:53,711 - mmdet - INFO - Epoch [10][600/7390] lr: 1.000e-03, eta: 4:35:43, time: 0.755, data_time: 0.009, memory: 43494, loss_cls: 7.7974, losses_bboxes: 0.4544, loss: 8.2518 2022-11-03 07:19:32,013 - mmdet - INFO - Epoch [10][650/7390] lr: 1.000e-03, eta: 4:35:05, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7961, losses_bboxes: 0.4545, loss: 8.2506 2022-11-03 07:20:10,737 - mmdet - INFO - Epoch [10][700/7390] lr: 1.000e-03, eta: 4:34:27, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8036, losses_bboxes: 0.4524, loss: 8.2561 2022-11-03 07:20:49,645 - mmdet - INFO - Epoch [10][750/7390] lr: 1.000e-03, eta: 4:33:48, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7983, losses_bboxes: 0.4557, loss: 8.2540 2022-11-03 07:21:28,528 - mmdet - INFO - Epoch [10][800/7390] lr: 1.000e-03, eta: 4:33:10, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7966, losses_bboxes: 0.4536, loss: 8.2502 2022-11-03 07:22:06,812 - mmdet - INFO - Epoch [10][850/7390] lr: 1.000e-03, eta: 4:32:32, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7974, losses_bboxes: 0.4537, loss: 8.2511 2022-11-03 07:22:45,725 - mmdet - INFO - Epoch [10][900/7390] lr: 1.000e-03, eta: 4:31:54, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8027, losses_bboxes: 0.4545, loss: 8.2572 2022-11-03 07:23:23,781 - mmdet - INFO - Epoch [10][950/7390] lr: 1.000e-03, eta: 4:31:15, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.7994, losses_bboxes: 0.4511, loss: 8.2504 2022-11-03 07:24:02,400 - mmdet - INFO - Epoch [10][1000/7390] lr: 1.000e-03, eta: 4:30:37, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7887, losses_bboxes: 0.4541, loss: 8.2428 2022-11-03 07:24:41,113 - mmdet - INFO - Epoch [10][1050/7390] lr: 1.000e-03, eta: 4:29:59, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7962, losses_bboxes: 0.4540, loss: 8.2502 2022-11-03 07:25:19,941 - mmdet - INFO - Epoch [10][1100/7390] lr: 1.000e-03, eta: 4:29:21, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7924, losses_bboxes: 0.4540, loss: 8.2464 2022-11-03 07:25:58,572 - mmdet - INFO - Epoch [10][1150/7390] lr: 1.000e-03, eta: 4:28:42, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7996, losses_bboxes: 0.4526, loss: 8.2522 2022-11-03 07:26:37,536 - mmdet - INFO - Epoch [10][1200/7390] lr: 1.000e-03, eta: 4:28:04, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.7987, losses_bboxes: 0.4560, loss: 8.2547 2022-11-03 07:27:15,689 - mmdet - INFO - Epoch [10][1250/7390] lr: 1.000e-03, eta: 4:27:26, time: 0.763, data_time: 0.008, memory: 43494, loss_cls: 7.8012, losses_bboxes: 0.4558, loss: 8.2569 2022-11-03 07:27:55,095 - mmdet - INFO - Epoch [10][1300/7390] lr: 1.000e-03, eta: 4:26:48, time: 0.788, data_time: 0.009, memory: 43494, loss_cls: 7.7974, losses_bboxes: 0.4545, loss: 8.2519 2022-11-03 07:28:33,503 - mmdet - INFO - Epoch [10][1350/7390] lr: 1.000e-03, eta: 4:26:09, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8032, losses_bboxes: 0.4528, loss: 8.2560 2022-11-03 07:29:12,059 - mmdet - INFO - Epoch [10][1400/7390] lr: 1.000e-03, eta: 4:25:31, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8074, losses_bboxes: 0.4541, loss: 8.2615 2022-11-03 07:29:50,091 - mmdet - INFO - Epoch [10][1450/7390] lr: 1.000e-03, eta: 4:24:53, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.8004, losses_bboxes: 0.4555, loss: 8.2559 2022-11-03 07:30:28,528 - mmdet - INFO - Epoch [10][1500/7390] lr: 1.000e-03, eta: 4:24:14, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7896, losses_bboxes: 0.4556, loss: 8.2452 2022-11-03 07:31:07,115 - mmdet - INFO - Epoch [10][1550/7390] lr: 1.000e-03, eta: 4:23:36, time: 0.772, data_time: 0.008, memory: 43494, loss_cls: 7.7924, losses_bboxes: 0.4526, loss: 8.2450 2022-11-03 07:31:45,252 - mmdet - INFO - Epoch [10][1600/7390] lr: 1.000e-03, eta: 4:22:58, time: 0.763, data_time: 0.008, memory: 43494, loss_cls: 7.7931, losses_bboxes: 0.4546, loss: 8.2477 2022-11-03 07:32:23,546 - mmdet - INFO - Epoch [10][1650/7390] lr: 1.000e-03, eta: 4:22:19, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7976, losses_bboxes: 0.4550, loss: 8.2525 2022-11-03 07:33:01,746 - mmdet - INFO - Epoch [10][1700/7390] lr: 1.000e-03, eta: 4:21:41, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.7820, losses_bboxes: 0.4517, loss: 8.2337 2022-11-03 07:33:40,525 - mmdet - INFO - Epoch [10][1750/7390] lr: 1.000e-03, eta: 4:21:03, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8008, losses_bboxes: 0.4547, loss: 8.2555 2022-11-03 07:34:19,163 - mmdet - INFO - Epoch [10][1800/7390] lr: 1.000e-03, eta: 4:20:24, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7942, losses_bboxes: 0.4550, loss: 8.2492 2022-11-03 07:34:58,110 - mmdet - INFO - Epoch [10][1850/7390] lr: 1.000e-03, eta: 4:19:46, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.8010, losses_bboxes: 0.4542, loss: 8.2552 2022-11-03 07:35:37,362 - mmdet - INFO - Epoch [10][1900/7390] lr: 1.000e-03, eta: 4:19:08, time: 0.785, data_time: 0.009, memory: 43494, loss_cls: 7.8001, losses_bboxes: 0.4542, loss: 8.2544 2022-11-03 07:36:15,620 - mmdet - INFO - Epoch [10][1950/7390] lr: 1.000e-03, eta: 4:18:30, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8009, losses_bboxes: 0.4542, loss: 8.2551 2022-11-03 07:36:53,825 - mmdet - INFO - Epoch [10][2000/7390] lr: 1.000e-03, eta: 4:17:51, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.8005, losses_bboxes: 0.4525, loss: 8.2530 2022-11-03 07:37:31,954 - mmdet - INFO - Epoch [10][2050/7390] lr: 1.000e-03, eta: 4:17:13, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7891, losses_bboxes: 0.4538, loss: 8.2428 2022-11-03 07:38:10,785 - mmdet - INFO - Epoch [10][2100/7390] lr: 1.000e-03, eta: 4:16:35, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7952, losses_bboxes: 0.4548, loss: 8.2501 2022-11-03 07:38:49,243 - mmdet - INFO - Epoch [10][2150/7390] lr: 1.000e-03, eta: 4:15:56, time: 0.769, data_time: 0.008, memory: 43494, loss_cls: 7.7948, losses_bboxes: 0.4543, loss: 8.2491 2022-11-03 07:39:27,676 - mmdet - INFO - Epoch [10][2200/7390] lr: 1.000e-03, eta: 4:15:18, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7959, losses_bboxes: 0.4535, loss: 8.2493 2022-11-03 07:40:06,518 - mmdet - INFO - Epoch [10][2250/7390] lr: 1.000e-03, eta: 4:14:40, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.8036, losses_bboxes: 0.4539, loss: 8.2575 2022-11-03 07:40:45,030 - mmdet - INFO - Epoch [10][2300/7390] lr: 1.000e-03, eta: 4:14:02, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7948, losses_bboxes: 0.4545, loss: 8.2493 2022-11-03 07:41:23,392 - mmdet - INFO - Epoch [10][2350/7390] lr: 1.000e-03, eta: 4:13:23, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7920, losses_bboxes: 0.4534, loss: 8.2454 2022-11-03 07:42:01,701 - mmdet - INFO - Epoch [10][2400/7390] lr: 1.000e-03, eta: 4:12:45, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7959, losses_bboxes: 0.4524, loss: 8.2483 2022-11-03 07:42:40,471 - mmdet - INFO - Epoch [10][2450/7390] lr: 1.000e-03, eta: 4:12:07, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8083, losses_bboxes: 0.4540, loss: 8.2622 2022-11-03 07:43:19,657 - mmdet - INFO - Epoch [10][2500/7390] lr: 1.000e-03, eta: 4:11:28, time: 0.784, data_time: 0.008, memory: 43494, loss_cls: 7.7946, losses_bboxes: 0.4545, loss: 8.2491 2022-11-03 07:43:58,032 - mmdet - INFO - Epoch [10][2550/7390] lr: 1.000e-03, eta: 4:10:50, time: 0.768, data_time: 0.008, memory: 43494, loss_cls: 7.8052, losses_bboxes: 0.4537, loss: 8.2589 2022-11-03 07:44:36,765 - mmdet - INFO - Epoch [10][2600/7390] lr: 1.000e-03, eta: 4:10:12, time: 0.775, data_time: 0.008, memory: 43494, loss_cls: 7.7982, losses_bboxes: 0.4552, loss: 8.2533 2022-11-03 07:45:14,616 - mmdet - INFO - Epoch [10][2650/7390] lr: 1.000e-03, eta: 4:09:33, time: 0.757, data_time: 0.009, memory: 43494, loss_cls: 7.7962, losses_bboxes: 0.4526, loss: 8.2488 2022-11-03 07:45:53,482 - mmdet - INFO - Epoch [10][2700/7390] lr: 1.000e-03, eta: 4:08:55, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7974, losses_bboxes: 0.4545, loss: 8.2519 2022-11-03 07:46:31,640 - mmdet - INFO - Epoch [10][2750/7390] lr: 1.000e-03, eta: 4:08:17, time: 0.763, data_time: 0.008, memory: 43494, loss_cls: 7.7955, losses_bboxes: 0.4516, loss: 8.2470 2022-11-03 07:47:09,997 - mmdet - INFO - Epoch [10][2800/7390] lr: 1.000e-03, eta: 4:07:38, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7972, losses_bboxes: 0.4545, loss: 8.2517 2022-11-03 07:47:48,708 - mmdet - INFO - Epoch [10][2850/7390] lr: 1.000e-03, eta: 4:07:00, time: 0.774, data_time: 0.008, memory: 43494, loss_cls: 7.8084, losses_bboxes: 0.4536, loss: 8.2619 2022-11-03 07:48:26,871 - mmdet - INFO - Epoch [10][2900/7390] lr: 1.000e-03, eta: 4:06:22, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7954, losses_bboxes: 0.4521, loss: 8.2474 2022-11-03 07:49:05,092 - mmdet - INFO - Epoch [10][2950/7390] lr: 1.000e-03, eta: 4:05:43, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.8004, losses_bboxes: 0.4539, loss: 8.2543 2022-11-03 07:49:43,801 - mmdet - INFO - Epoch [10][3000/7390] lr: 1.000e-03, eta: 4:05:05, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7910, losses_bboxes: 0.4527, loss: 8.2437 2022-11-03 07:50:21,063 - mmdet - INFO - Epoch [10][3050/7390] lr: 1.000e-03, eta: 4:04:26, time: 0.745, data_time: 0.009, memory: 43494, loss_cls: 7.7958, losses_bboxes: 0.4529, loss: 8.2487 2022-11-03 07:50:59,508 - mmdet - INFO - Epoch [10][3100/7390] lr: 1.000e-03, eta: 4:03:48, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8083, losses_bboxes: 0.4540, loss: 8.2623 2022-11-03 07:51:37,955 - mmdet - INFO - Epoch [10][3150/7390] lr: 1.000e-03, eta: 4:03:10, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7964, losses_bboxes: 0.4529, loss: 8.2493 2022-11-03 07:52:15,523 - mmdet - INFO - Epoch [10][3200/7390] lr: 1.000e-03, eta: 4:02:31, time: 0.751, data_time: 0.009, memory: 43494, loss_cls: 7.7876, losses_bboxes: 0.4546, loss: 8.2422 2022-11-03 07:52:53,654 - mmdet - INFO - Epoch [10][3250/7390] lr: 1.000e-03, eta: 4:01:53, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8005, losses_bboxes: 0.4527, loss: 8.2532 2022-11-03 07:53:32,486 - mmdet - INFO - Epoch [10][3300/7390] lr: 1.000e-03, eta: 4:01:15, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.8079, losses_bboxes: 0.4560, loss: 8.2639 2022-11-03 07:54:11,323 - mmdet - INFO - Epoch [10][3350/7390] lr: 1.000e-03, eta: 4:00:36, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7917, losses_bboxes: 0.4551, loss: 8.2468 2022-11-03 07:54:49,612 - mmdet - INFO - Epoch [10][3400/7390] lr: 1.000e-03, eta: 3:59:58, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7979, losses_bboxes: 0.4537, loss: 8.2516 2022-11-03 07:55:28,580 - mmdet - INFO - Epoch [10][3450/7390] lr: 1.000e-03, eta: 3:59:20, time: 0.779, data_time: 0.008, memory: 43494, loss_cls: 7.7924, losses_bboxes: 0.4536, loss: 8.2460 2022-11-03 07:56:06,857 - mmdet - INFO - Epoch [10][3500/7390] lr: 1.000e-03, eta: 3:58:41, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.8031, losses_bboxes: 0.4537, loss: 8.2569 2022-11-03 07:56:46,060 - mmdet - INFO - Epoch [10][3550/7390] lr: 1.000e-03, eta: 3:58:03, time: 0.784, data_time: 0.009, memory: 43494, loss_cls: 7.7930, losses_bboxes: 0.4539, loss: 8.2469 2022-11-03 07:57:24,950 - mmdet - INFO - Epoch [10][3600/7390] lr: 1.000e-03, eta: 3:57:25, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8004, losses_bboxes: 0.4565, loss: 8.2569 2022-11-03 07:58:03,768 - mmdet - INFO - Epoch [10][3650/7390] lr: 1.000e-03, eta: 3:56:47, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.7977, losses_bboxes: 0.4547, loss: 8.2524 2022-11-03 07:58:42,195 - mmdet - INFO - Epoch [10][3700/7390] lr: 1.000e-03, eta: 3:56:08, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8020, losses_bboxes: 0.4533, loss: 8.2553 2022-11-03 07:59:20,803 - mmdet - INFO - Epoch [10][3750/7390] lr: 1.000e-03, eta: 3:55:30, time: 0.772, data_time: 0.008, memory: 43494, loss_cls: 7.8056, losses_bboxes: 0.4543, loss: 8.2600 2022-11-03 08:00:00,002 - mmdet - INFO - Epoch [10][3800/7390] lr: 1.000e-03, eta: 3:54:52, time: 0.784, data_time: 0.008, memory: 43494, loss_cls: 7.7996, losses_bboxes: 0.4548, loss: 8.2544 2022-11-03 08:00:38,374 - mmdet - INFO - Epoch [10][3850/7390] lr: 1.000e-03, eta: 3:54:14, time: 0.767, data_time: 0.008, memory: 43494, loss_cls: 7.7932, losses_bboxes: 0.4532, loss: 8.2463 2022-11-03 08:01:17,268 - mmdet - INFO - Epoch [10][3900/7390] lr: 1.000e-03, eta: 3:53:35, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7981, losses_bboxes: 0.4536, loss: 8.2518 2022-11-03 08:01:55,537 - mmdet - INFO - Epoch [10][3950/7390] lr: 1.000e-03, eta: 3:52:57, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7822, losses_bboxes: 0.4553, loss: 8.2375 2022-11-03 08:02:34,178 - mmdet - INFO - Epoch [10][4000/7390] lr: 1.000e-03, eta: 3:52:19, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7915, losses_bboxes: 0.4550, loss: 8.2465 2022-11-03 08:03:12,273 - mmdet - INFO - Epoch [10][4050/7390] lr: 1.000e-03, eta: 3:51:40, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8032, losses_bboxes: 0.4513, loss: 8.2545 2022-11-03 08:03:50,681 - mmdet - INFO - Epoch [10][4100/7390] lr: 1.000e-03, eta: 3:51:02, time: 0.768, data_time: 0.008, memory: 43494, loss_cls: 7.7945, losses_bboxes: 0.4540, loss: 8.2485 2022-11-03 08:04:29,565 - mmdet - INFO - Epoch [10][4150/7390] lr: 1.000e-03, eta: 3:50:24, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7966, losses_bboxes: 0.4543, loss: 8.2509 2022-11-03 08:05:08,056 - mmdet - INFO - Epoch [10][4200/7390] lr: 1.000e-03, eta: 3:49:45, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7991, losses_bboxes: 0.4530, loss: 8.2521 2022-11-03 08:05:46,719 - mmdet - INFO - Epoch [10][4250/7390] lr: 1.000e-03, eta: 3:49:07, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8062, losses_bboxes: 0.4546, loss: 8.2608 2022-11-03 08:06:25,027 - mmdet - INFO - Epoch [10][4300/7390] lr: 1.000e-03, eta: 3:48:29, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7940, losses_bboxes: 0.4538, loss: 8.2477 2022-11-03 08:07:02,971 - mmdet - INFO - Epoch [10][4350/7390] lr: 1.000e-03, eta: 3:47:50, time: 0.759, data_time: 0.008, memory: 43494, loss_cls: 7.7955, losses_bboxes: 0.4547, loss: 8.2502 2022-11-03 08:07:41,681 - mmdet - INFO - Epoch [10][4400/7390] lr: 1.000e-03, eta: 3:47:12, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7950, losses_bboxes: 0.4531, loss: 8.2481 2022-11-03 08:08:19,839 - mmdet - INFO - Epoch [10][4450/7390] lr: 1.000e-03, eta: 3:46:34, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7951, losses_bboxes: 0.4546, loss: 8.2497 2022-11-03 08:08:58,630 - mmdet - INFO - Epoch [10][4500/7390] lr: 1.000e-03, eta: 3:45:55, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.7964, losses_bboxes: 0.4540, loss: 8.2504 2022-11-03 08:09:37,281 - mmdet - INFO - Epoch [10][4550/7390] lr: 1.000e-03, eta: 3:45:17, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7992, losses_bboxes: 0.4523, loss: 8.2515 2022-11-03 08:10:15,212 - mmdet - INFO - Epoch [10][4600/7390] lr: 1.000e-03, eta: 3:44:39, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.7965, losses_bboxes: 0.4544, loss: 8.2509 2022-11-03 08:10:54,358 - mmdet - INFO - Epoch [10][4650/7390] lr: 1.000e-03, eta: 3:44:00, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.7985, losses_bboxes: 0.4532, loss: 8.2517 2022-11-03 08:11:32,443 - mmdet - INFO - Epoch [10][4700/7390] lr: 1.000e-03, eta: 3:43:22, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7993, losses_bboxes: 0.4538, loss: 8.2531 2022-11-03 08:12:11,189 - mmdet - INFO - Epoch [10][4750/7390] lr: 1.000e-03, eta: 3:42:44, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.7906, losses_bboxes: 0.4539, loss: 8.2446 2022-11-03 08:12:49,688 - mmdet - INFO - Epoch [10][4800/7390] lr: 1.000e-03, eta: 3:42:05, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7880, losses_bboxes: 0.4535, loss: 8.2415 2022-11-03 08:13:29,098 - mmdet - INFO - Epoch [10][4850/7390] lr: 1.000e-03, eta: 3:41:27, time: 0.788, data_time: 0.009, memory: 43494, loss_cls: 7.7997, losses_bboxes: 0.4557, loss: 8.2555 2022-11-03 08:14:07,801 - mmdet - INFO - Epoch [10][4900/7390] lr: 1.000e-03, eta: 3:40:49, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8052, losses_bboxes: 0.4575, loss: 8.2627 2022-11-03 08:14:46,442 - mmdet - INFO - Epoch [10][4950/7390] lr: 1.000e-03, eta: 3:40:11, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7979, losses_bboxes: 0.4547, loss: 8.2526 2022-11-03 08:15:25,323 - mmdet - INFO - Epoch [10][5000/7390] lr: 1.000e-03, eta: 3:39:33, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8022, losses_bboxes: 0.4543, loss: 8.2564 2022-11-03 08:16:04,236 - mmdet - INFO - Epoch [10][5050/7390] lr: 1.000e-03, eta: 3:38:54, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8046, losses_bboxes: 0.4542, loss: 8.2588 2022-11-03 08:16:42,717 - mmdet - INFO - Epoch [10][5100/7390] lr: 1.000e-03, eta: 3:38:16, time: 0.770, data_time: 0.008, memory: 43494, loss_cls: 7.7967, losses_bboxes: 0.4522, loss: 8.2489 2022-11-03 08:17:21,553 - mmdet - INFO - Epoch [10][5150/7390] lr: 1.000e-03, eta: 3:37:38, time: 0.777, data_time: 0.008, memory: 43494, loss_cls: 7.7931, losses_bboxes: 0.4551, loss: 8.2482 2022-11-03 08:18:00,758 - mmdet - INFO - Epoch [10][5200/7390] lr: 1.000e-03, eta: 3:37:00, time: 0.784, data_time: 0.009, memory: 43494, loss_cls: 7.7990, losses_bboxes: 0.4556, loss: 8.2546 2022-11-03 08:18:39,374 - mmdet - INFO - Epoch [10][5250/7390] lr: 1.000e-03, eta: 3:36:21, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8004, losses_bboxes: 0.4550, loss: 8.2554 2022-11-03 08:19:18,764 - mmdet - INFO - Epoch [10][5300/7390] lr: 1.000e-03, eta: 3:35:43, time: 0.788, data_time: 0.009, memory: 43494, loss_cls: 7.7958, losses_bboxes: 0.4543, loss: 8.2501 2022-11-03 08:19:57,754 - mmdet - INFO - Epoch [10][5350/7390] lr: 1.000e-03, eta: 3:35:05, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7907, losses_bboxes: 0.4526, loss: 8.2432 2022-11-03 08:20:35,674 - mmdet - INFO - Epoch [10][5400/7390] lr: 1.000e-03, eta: 3:34:26, time: 0.758, data_time: 0.008, memory: 43494, loss_cls: 7.8037, losses_bboxes: 0.4530, loss: 8.2567 2022-11-03 08:21:14,179 - mmdet - INFO - Epoch [10][5450/7390] lr: 1.000e-03, eta: 3:33:48, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7957, losses_bboxes: 0.4554, loss: 8.2511 2022-11-03 08:21:52,205 - mmdet - INFO - Epoch [10][5500/7390] lr: 1.000e-03, eta: 3:33:10, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.8101, losses_bboxes: 0.4526, loss: 8.2627 2022-11-03 08:22:30,393 - mmdet - INFO - Epoch [10][5550/7390] lr: 1.000e-03, eta: 3:32:31, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.8033, losses_bboxes: 0.4532, loss: 8.2565 2022-11-03 08:23:08,911 - mmdet - INFO - Epoch [10][5600/7390] lr: 1.000e-03, eta: 3:31:53, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7980, losses_bboxes: 0.4546, loss: 8.2526 2022-11-03 08:23:47,284 - mmdet - INFO - Epoch [10][5650/7390] lr: 1.000e-03, eta: 3:31:15, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7918, losses_bboxes: 0.4536, loss: 8.2455 2022-11-03 08:24:25,632 - mmdet - INFO - Epoch [10][5700/7390] lr: 1.000e-03, eta: 3:30:36, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8000, losses_bboxes: 0.4547, loss: 8.2547 2022-11-03 08:25:04,527 - mmdet - INFO - Epoch [10][5750/7390] lr: 1.000e-03, eta: 3:29:58, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7941, losses_bboxes: 0.4538, loss: 8.2479 2022-11-03 08:25:42,989 - mmdet - INFO - Epoch [10][5800/7390] lr: 1.000e-03, eta: 3:29:20, time: 0.769, data_time: 0.008, memory: 43494, loss_cls: 7.7916, losses_bboxes: 0.4532, loss: 8.2448 2022-11-03 08:26:21,742 - mmdet - INFO - Epoch [10][5850/7390] lr: 1.000e-03, eta: 3:28:41, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8018, losses_bboxes: 0.4538, loss: 8.2556 2022-11-03 08:27:00,336 - mmdet - INFO - Epoch [10][5900/7390] lr: 1.000e-03, eta: 3:28:03, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7987, losses_bboxes: 0.4540, loss: 8.2527 2022-11-03 08:27:38,535 - mmdet - INFO - Epoch [10][5950/7390] lr: 1.000e-03, eta: 3:27:25, time: 0.764, data_time: 0.008, memory: 43494, loss_cls: 7.7936, losses_bboxes: 0.4521, loss: 8.2457 2022-11-03 08:28:17,657 - mmdet - INFO - Epoch [10][6000/7390] lr: 1.000e-03, eta: 3:26:46, time: 0.782, data_time: 0.008, memory: 43494, loss_cls: 7.7996, losses_bboxes: 0.4530, loss: 8.2526 2022-11-03 08:28:56,789 - mmdet - INFO - Epoch [10][6050/7390] lr: 1.000e-03, eta: 3:26:08, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.8000, losses_bboxes: 0.4544, loss: 8.2544 2022-11-03 08:29:35,500 - mmdet - INFO - Epoch [10][6100/7390] lr: 1.000e-03, eta: 3:25:30, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7962, losses_bboxes: 0.4545, loss: 8.2507 2022-11-03 08:30:13,746 - mmdet - INFO - Epoch [10][6150/7390] lr: 1.000e-03, eta: 3:24:52, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7897, losses_bboxes: 0.4554, loss: 8.2452 2022-11-03 08:30:52,423 - mmdet - INFO - Epoch [10][6200/7390] lr: 1.000e-03, eta: 3:24:13, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8059, losses_bboxes: 0.4531, loss: 8.2590 2022-11-03 08:31:30,469 - mmdet - INFO - Epoch [10][6250/7390] lr: 1.000e-03, eta: 3:23:35, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.7959, losses_bboxes: 0.4543, loss: 8.2502 2022-11-03 08:32:08,367 - mmdet - INFO - Epoch [10][6300/7390] lr: 1.000e-03, eta: 3:22:56, time: 0.758, data_time: 0.009, memory: 43494, loss_cls: 7.7934, losses_bboxes: 0.4543, loss: 8.2477 2022-11-03 08:32:47,719 - mmdet - INFO - Epoch [10][6350/7390] lr: 1.000e-03, eta: 3:22:18, time: 0.787, data_time: 0.009, memory: 43494, loss_cls: 7.7882, losses_bboxes: 0.4552, loss: 8.2434 2022-11-03 08:33:25,696 - mmdet - INFO - Epoch [10][6400/7390] lr: 1.000e-03, eta: 3:21:40, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.7899, losses_bboxes: 0.4529, loss: 8.2428 2022-11-03 08:34:04,344 - mmdet - INFO - Epoch [10][6450/7390] lr: 1.000e-03, eta: 3:21:02, time: 0.773, data_time: 0.008, memory: 43494, loss_cls: 7.7944, losses_bboxes: 0.4542, loss: 8.2485 2022-11-03 08:34:43,455 - mmdet - INFO - Epoch [10][6500/7390] lr: 1.000e-03, eta: 3:20:23, time: 0.782, data_time: 0.009, memory: 43494, loss_cls: 7.7949, losses_bboxes: 0.4537, loss: 8.2486 2022-11-03 08:35:21,585 - mmdet - INFO - Epoch [10][6550/7390] lr: 1.000e-03, eta: 3:19:45, time: 0.763, data_time: 0.008, memory: 43494, loss_cls: 7.7891, losses_bboxes: 0.4542, loss: 8.2433 2022-11-03 08:36:00,560 - mmdet - INFO - Epoch [10][6600/7390] lr: 1.000e-03, eta: 3:19:07, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.8072, losses_bboxes: 0.4511, loss: 8.2584 2022-11-03 08:36:38,899 - mmdet - INFO - Epoch [10][6650/7390] lr: 1.000e-03, eta: 3:18:28, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8021, losses_bboxes: 0.4544, loss: 8.2566 2022-11-03 08:37:17,695 - mmdet - INFO - Epoch [10][6700/7390] lr: 1.000e-03, eta: 3:17:50, time: 0.776, data_time: 0.008, memory: 43494, loss_cls: 7.7985, losses_bboxes: 0.4548, loss: 8.2533 2022-11-03 08:37:56,347 - mmdet - INFO - Epoch [10][6750/7390] lr: 1.000e-03, eta: 3:17:12, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7968, losses_bboxes: 0.4543, loss: 8.2511 2022-11-03 08:38:35,421 - mmdet - INFO - Epoch [10][6800/7390] lr: 1.000e-03, eta: 3:16:33, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.7965, losses_bboxes: 0.4561, loss: 8.2526 2022-11-03 08:39:13,573 - mmdet - INFO - Epoch [10][6850/7390] lr: 1.000e-03, eta: 3:15:55, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7961, losses_bboxes: 0.4536, loss: 8.2497 2022-11-03 08:39:52,372 - mmdet - INFO - Epoch [10][6900/7390] lr: 1.000e-03, eta: 3:15:17, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8006, losses_bboxes: 0.4547, loss: 8.2552 2022-11-03 08:40:30,871 - mmdet - INFO - Epoch [10][6950/7390] lr: 1.000e-03, eta: 3:14:38, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7931, losses_bboxes: 0.4525, loss: 8.2456 2022-11-03 08:41:09,118 - mmdet - INFO - Epoch [10][7000/7390] lr: 1.000e-03, eta: 3:14:00, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7907, losses_bboxes: 0.4543, loss: 8.2449 2022-11-03 08:41:47,093 - mmdet - INFO - Epoch [10][7050/7390] lr: 1.000e-03, eta: 3:13:22, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.7896, losses_bboxes: 0.4547, loss: 8.2443 2022-11-03 08:42:26,226 - mmdet - INFO - Epoch [10][7100/7390] lr: 1.000e-03, eta: 3:12:43, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.7937, losses_bboxes: 0.4537, loss: 8.2475 2022-11-03 08:43:05,024 - mmdet - INFO - Epoch [10][7150/7390] lr: 1.000e-03, eta: 3:12:05, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.7982, losses_bboxes: 0.4523, loss: 8.2505 2022-11-03 08:43:43,516 - mmdet - INFO - Epoch [10][7200/7390] lr: 1.000e-03, eta: 3:11:27, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7992, losses_bboxes: 0.4550, loss: 8.2541 2022-11-03 08:44:22,141 - mmdet - INFO - Epoch [10][7250/7390] lr: 1.000e-03, eta: 3:10:48, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7830, losses_bboxes: 0.4543, loss: 8.2372 2022-11-03 08:45:00,136 - mmdet - INFO - Epoch [10][7300/7390] lr: 1.000e-03, eta: 3:10:10, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.7989, losses_bboxes: 0.4537, loss: 8.2526 2022-11-03 08:45:39,292 - mmdet - INFO - Epoch [10][7350/7390] lr: 1.000e-03, eta: 3:09:32, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.7990, losses_bboxes: 0.4558, loss: 8.2548 2022-11-03 08:46:10,250 - mmdet - INFO - Saving checkpoint at 10 epochs 2022-11-03 08:46:52,628 - mmdet - INFO - Epoch [11][50/7390] lr: 1.000e-03, eta: 3:08:17, time: 0.828, data_time: 0.069, memory: 43494, loss_cls: 7.7984, losses_bboxes: 0.4522, loss: 8.2506 2022-11-03 08:47:31,349 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 08:47:31,350 - mmdet - INFO - Epoch [11][100/7390] lr: 1.000e-03, eta: 3:07:39, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7941, losses_bboxes: 0.4520, loss: 8.2461 2022-11-03 08:48:10,143 - mmdet - INFO - Epoch [11][150/7390] lr: 1.000e-03, eta: 3:07:01, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8008, losses_bboxes: 0.4549, loss: 8.2558 2022-11-03 08:48:49,199 - mmdet - INFO - Epoch [11][200/7390] lr: 1.000e-03, eta: 3:06:23, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.8079, losses_bboxes: 0.4563, loss: 8.2642 2022-11-03 08:49:27,865 - mmdet - INFO - Epoch [11][250/7390] lr: 1.000e-03, eta: 3:05:44, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8018, losses_bboxes: 0.4547, loss: 8.2565 2022-11-03 08:50:06,445 - mmdet - INFO - Epoch [11][300/7390] lr: 1.000e-03, eta: 3:05:06, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8033, losses_bboxes: 0.4545, loss: 8.2577 2022-11-03 08:50:45,823 - mmdet - INFO - Epoch [11][350/7390] lr: 1.000e-03, eta: 3:04:28, time: 0.788, data_time: 0.009, memory: 43494, loss_cls: 7.8056, losses_bboxes: 0.4559, loss: 8.2615 2022-11-03 08:51:24,616 - mmdet - INFO - Epoch [11][400/7390] lr: 1.000e-03, eta: 3:03:49, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.7931, losses_bboxes: 0.4533, loss: 8.2463 2022-11-03 08:52:03,353 - mmdet - INFO - Epoch [11][450/7390] lr: 1.000e-03, eta: 3:03:11, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.7996, losses_bboxes: 0.4519, loss: 8.2516 2022-11-03 08:52:41,811 - mmdet - INFO - Epoch [11][500/7390] lr: 1.000e-03, eta: 3:02:33, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7943, losses_bboxes: 0.4538, loss: 8.2481 2022-11-03 08:53:19,908 - mmdet - INFO - Epoch [11][550/7390] lr: 1.000e-03, eta: 3:01:54, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7917, losses_bboxes: 0.4557, loss: 8.2474 2022-11-03 08:53:58,222 - mmdet - INFO - Epoch [11][600/7390] lr: 1.000e-03, eta: 3:01:16, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7994, losses_bboxes: 0.4524, loss: 8.2517 2022-11-03 08:54:36,561 - mmdet - INFO - Epoch [11][650/7390] lr: 1.000e-03, eta: 3:00:38, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7963, losses_bboxes: 0.4550, loss: 8.2514 2022-11-03 08:55:15,101 - mmdet - INFO - Epoch [11][700/7390] lr: 1.000e-03, eta: 2:59:59, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7909, losses_bboxes: 0.4539, loss: 8.2448 2022-11-03 08:55:53,585 - mmdet - INFO - Epoch [11][750/7390] lr: 1.000e-03, eta: 2:59:21, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7940, losses_bboxes: 0.4560, loss: 8.2499 2022-11-03 08:56:32,346 - mmdet - INFO - Epoch [11][800/7390] lr: 1.000e-03, eta: 2:58:43, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.7931, losses_bboxes: 0.4540, loss: 8.2471 2022-11-03 08:57:11,116 - mmdet - INFO - Epoch [11][850/7390] lr: 1.000e-03, eta: 2:58:05, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.7880, losses_bboxes: 0.4523, loss: 8.2403 2022-11-03 08:57:49,391 - mmdet - INFO - Epoch [11][900/7390] lr: 1.000e-03, eta: 2:57:26, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.8024, losses_bboxes: 0.4538, loss: 8.2562 2022-11-03 08:58:27,309 - mmdet - INFO - Epoch [11][950/7390] lr: 1.000e-03, eta: 2:56:48, time: 0.758, data_time: 0.009, memory: 43494, loss_cls: 7.7961, losses_bboxes: 0.4542, loss: 8.2502 2022-11-03 08:59:05,238 - mmdet - INFO - Epoch [11][1000/7390] lr: 1.000e-03, eta: 2:56:09, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.7928, losses_bboxes: 0.4534, loss: 8.2463 2022-11-03 08:59:43,187 - mmdet - INFO - Epoch [11][1050/7390] lr: 1.000e-03, eta: 2:55:31, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.7953, losses_bboxes: 0.4523, loss: 8.2476 2022-11-03 09:00:21,562 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 09:00:21,563 - mmdet - INFO - Epoch [11][1100/7390] lr: 1.000e-03, eta: 2:54:53, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7945, losses_bboxes: 0.4526, loss: 8.2471 2022-11-03 09:01:00,595 - mmdet - INFO - Epoch [11][1150/7390] lr: 1.000e-03, eta: 2:54:14, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.7926, losses_bboxes: 0.4549, loss: 8.2475 2022-11-03 09:01:38,344 - mmdet - INFO - Epoch [11][1200/7390] lr: 1.000e-03, eta: 2:53:36, time: 0.755, data_time: 0.009, memory: 43494, loss_cls: 7.7975, losses_bboxes: 0.4545, loss: 8.2520 2022-11-03 09:02:16,429 - mmdet - INFO - Epoch [11][1250/7390] lr: 1.000e-03, eta: 2:52:57, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7936, losses_bboxes: 0.4528, loss: 8.2464 2022-11-03 09:02:54,889 - mmdet - INFO - Epoch [11][1300/7390] lr: 1.000e-03, eta: 2:52:19, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7873, losses_bboxes: 0.4547, loss: 8.2420 2022-11-03 09:03:33,926 - mmdet - INFO - Epoch [11][1350/7390] lr: 1.000e-03, eta: 2:51:41, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.7951, losses_bboxes: 0.4543, loss: 8.2494 2022-11-03 09:04:12,139 - mmdet - INFO - Epoch [11][1400/7390] lr: 1.000e-03, eta: 2:51:03, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.7989, losses_bboxes: 0.4501, loss: 8.2490 2022-11-03 09:04:50,973 - mmdet - INFO - Epoch [11][1450/7390] lr: 1.000e-03, eta: 2:50:24, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7958, losses_bboxes: 0.4553, loss: 8.2512 2022-11-03 09:05:29,186 - mmdet - INFO - Epoch [11][1500/7390] lr: 1.000e-03, eta: 2:49:46, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.7880, losses_bboxes: 0.4532, loss: 8.2412 2022-11-03 09:06:08,485 - mmdet - INFO - Epoch [11][1550/7390] lr: 1.000e-03, eta: 2:49:08, time: 0.786, data_time: 0.009, memory: 43494, loss_cls: 7.7881, losses_bboxes: 0.4530, loss: 8.2411 2022-11-03 09:06:47,144 - mmdet - INFO - Epoch [11][1600/7390] lr: 1.000e-03, eta: 2:48:29, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7943, losses_bboxes: 0.4527, loss: 8.2471 2022-11-03 09:07:25,218 - mmdet - INFO - Epoch [11][1650/7390] lr: 1.000e-03, eta: 2:47:51, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.7850, losses_bboxes: 0.4530, loss: 8.2380 2022-11-03 09:08:04,486 - mmdet - INFO - Epoch [11][1700/7390] lr: 1.000e-03, eta: 2:47:13, time: 0.785, data_time: 0.009, memory: 43494, loss_cls: 7.7946, losses_bboxes: 0.4548, loss: 8.2494 2022-11-03 09:08:43,523 - mmdet - INFO - Epoch [11][1750/7390] lr: 1.000e-03, eta: 2:46:35, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.7964, losses_bboxes: 0.4540, loss: 8.2504 2022-11-03 09:09:21,506 - mmdet - INFO - Epoch [11][1800/7390] lr: 1.000e-03, eta: 2:45:56, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.8028, losses_bboxes: 0.4533, loss: 8.2560 2022-11-03 09:10:00,110 - mmdet - INFO - Epoch [11][1850/7390] lr: 1.000e-03, eta: 2:45:18, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7913, losses_bboxes: 0.4522, loss: 8.2435 2022-11-03 09:10:37,990 - mmdet - INFO - Epoch [11][1900/7390] lr: 1.000e-03, eta: 2:44:39, time: 0.758, data_time: 0.009, memory: 43494, loss_cls: 7.7971, losses_bboxes: 0.4540, loss: 8.2510 2022-11-03 09:11:17,068 - mmdet - INFO - Epoch [11][1950/7390] lr: 1.000e-03, eta: 2:44:01, time: 0.782, data_time: 0.009, memory: 43494, loss_cls: 7.7913, losses_bboxes: 0.4554, loss: 8.2467 2022-11-03 09:11:56,021 - mmdet - INFO - Epoch [11][2000/7390] lr: 1.000e-03, eta: 2:43:23, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.7848, losses_bboxes: 0.4530, loss: 8.2378 2022-11-03 09:12:34,556 - mmdet - INFO - Epoch [11][2050/7390] lr: 1.000e-03, eta: 2:42:45, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7972, losses_bboxes: 0.4535, loss: 8.2507 2022-11-03 09:13:13,556 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 09:13:13,556 - mmdet - INFO - Epoch [11][2100/7390] lr: 1.000e-03, eta: 2:42:06, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.8008, losses_bboxes: 0.4551, loss: 8.2559 2022-11-03 09:13:52,091 - mmdet - INFO - Epoch [11][2150/7390] lr: 1.000e-03, eta: 2:41:28, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7876, losses_bboxes: 0.4542, loss: 8.2418 2022-11-03 09:14:30,782 - mmdet - INFO - Epoch [11][2200/7390] lr: 1.000e-03, eta: 2:40:50, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8014, losses_bboxes: 0.4548, loss: 8.2562 2022-11-03 09:15:09,619 - mmdet - INFO - Epoch [11][2250/7390] lr: 1.000e-03, eta: 2:40:11, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.8051, losses_bboxes: 0.4534, loss: 8.2584 2022-11-03 09:15:47,956 - mmdet - INFO - Epoch [11][2300/7390] lr: 1.000e-03, eta: 2:39:33, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.8050, losses_bboxes: 0.4553, loss: 8.2603 2022-11-03 09:16:26,495 - mmdet - INFO - Epoch [11][2350/7390] lr: 1.000e-03, eta: 2:38:55, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8013, losses_bboxes: 0.4522, loss: 8.2535 2022-11-03 09:17:05,415 - mmdet - INFO - Epoch [11][2400/7390] lr: 1.000e-03, eta: 2:38:17, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8049, losses_bboxes: 0.4552, loss: 8.2601 2022-11-03 09:17:43,590 - mmdet - INFO - Epoch [11][2450/7390] lr: 1.000e-03, eta: 2:37:38, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8028, losses_bboxes: 0.4531, loss: 8.2559 2022-11-03 09:18:22,000 - mmdet - INFO - Epoch [11][2500/7390] lr: 1.000e-03, eta: 2:37:00, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.7875, losses_bboxes: 0.4555, loss: 8.2430 2022-11-03 09:19:00,127 - mmdet - INFO - Epoch [11][2550/7390] lr: 1.000e-03, eta: 2:36:21, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8047, losses_bboxes: 0.4516, loss: 8.2562 2022-11-03 09:19:39,050 - mmdet - INFO - Epoch [11][2600/7390] lr: 1.000e-03, eta: 2:35:43, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7996, losses_bboxes: 0.4533, loss: 8.2529 2022-11-03 09:20:18,316 - mmdet - INFO - Epoch [11][2650/7390] lr: 1.000e-03, eta: 2:35:05, time: 0.785, data_time: 0.009, memory: 43494, loss_cls: 7.7965, losses_bboxes: 0.4542, loss: 8.2508 2022-11-03 09:20:57,910 - mmdet - INFO - Epoch [11][2700/7390] lr: 1.000e-03, eta: 2:34:27, time: 0.792, data_time: 0.009, memory: 43494, loss_cls: 7.7944, losses_bboxes: 0.4541, loss: 8.2485 2022-11-03 09:21:36,731 - mmdet - INFO - Epoch [11][2750/7390] lr: 1.000e-03, eta: 2:33:48, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7891, losses_bboxes: 0.4522, loss: 8.2413 2022-11-03 09:22:15,697 - mmdet - INFO - Epoch [11][2800/7390] lr: 1.000e-03, eta: 2:33:10, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.7892, losses_bboxes: 0.4536, loss: 8.2428 2022-11-03 09:22:54,279 - mmdet - INFO - Epoch [11][2850/7390] lr: 1.000e-03, eta: 2:32:32, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8025, losses_bboxes: 0.4540, loss: 8.2564 2022-11-03 09:23:32,872 - mmdet - INFO - Epoch [11][2900/7390] lr: 1.000e-03, eta: 2:31:54, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7988, losses_bboxes: 0.4554, loss: 8.2542 2022-11-03 09:24:11,048 - mmdet - INFO - Epoch [11][2950/7390] lr: 1.000e-03, eta: 2:31:15, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.8055, losses_bboxes: 0.4538, loss: 8.2594 2022-11-03 09:24:49,910 - mmdet - INFO - Epoch [11][3000/7390] lr: 1.000e-03, eta: 2:30:37, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.8053, losses_bboxes: 0.4540, loss: 8.2593 2022-11-03 09:25:28,066 - mmdet - INFO - Epoch [11][3050/7390] lr: 1.000e-03, eta: 2:29:58, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8028, losses_bboxes: 0.4531, loss: 8.2560 2022-11-03 09:26:06,209 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 09:26:06,210 - mmdet - INFO - Epoch [11][3100/7390] lr: 1.000e-03, eta: 2:29:20, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8021, losses_bboxes: 0.4550, loss: 8.2571 2022-11-03 09:26:44,840 - mmdet - INFO - Epoch [11][3150/7390] lr: 1.000e-03, eta: 2:28:42, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7838, losses_bboxes: 0.4513, loss: 8.2351 2022-11-03 09:27:23,418 - mmdet - INFO - Epoch [11][3200/7390] lr: 1.000e-03, eta: 2:28:03, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7979, losses_bboxes: 0.4535, loss: 8.2514 2022-11-03 09:28:01,245 - mmdet - INFO - Epoch [11][3250/7390] lr: 1.000e-03, eta: 2:27:25, time: 0.757, data_time: 0.009, memory: 43494, loss_cls: 7.8037, losses_bboxes: 0.4565, loss: 8.2602 2022-11-03 09:28:39,111 - mmdet - INFO - Epoch [11][3300/7390] lr: 1.000e-03, eta: 2:26:47, time: 0.757, data_time: 0.009, memory: 43494, loss_cls: 7.8107, losses_bboxes: 0.4545, loss: 8.2652 2022-11-03 09:29:18,022 - mmdet - INFO - Epoch [11][3350/7390] lr: 1.000e-03, eta: 2:26:08, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7989, losses_bboxes: 0.4544, loss: 8.2533 2022-11-03 09:29:56,570 - mmdet - INFO - Epoch [11][3400/7390] lr: 1.000e-03, eta: 2:25:30, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8037, losses_bboxes: 0.4537, loss: 8.2574 2022-11-03 09:30:35,586 - mmdet - INFO - Epoch [11][3450/7390] lr: 1.000e-03, eta: 2:24:52, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7921, losses_bboxes: 0.4548, loss: 8.2469 2022-11-03 09:31:14,088 - mmdet - INFO - Epoch [11][3500/7390] lr: 1.000e-03, eta: 2:24:13, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7926, losses_bboxes: 0.4545, loss: 8.2471 2022-11-03 09:31:52,715 - mmdet - INFO - Epoch [11][3550/7390] lr: 1.000e-03, eta: 2:23:35, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7987, losses_bboxes: 0.4553, loss: 8.2541 2022-11-03 09:32:31,266 - mmdet - INFO - Epoch [11][3600/7390] lr: 1.000e-03, eta: 2:22:57, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7937, losses_bboxes: 0.4533, loss: 8.2469 2022-11-03 09:33:10,140 - mmdet - INFO - Epoch [11][3650/7390] lr: 1.000e-03, eta: 2:22:18, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.8040, losses_bboxes: 0.4557, loss: 8.2597 2022-11-03 09:33:48,770 - mmdet - INFO - Epoch [11][3700/7390] lr: 1.000e-03, eta: 2:21:40, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7954, losses_bboxes: 0.4535, loss: 8.2489 2022-11-03 09:34:27,078 - mmdet - INFO - Epoch [11][3750/7390] lr: 1.000e-03, eta: 2:21:02, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.8029, losses_bboxes: 0.4552, loss: 8.2581 2022-11-03 09:35:05,867 - mmdet - INFO - Epoch [11][3800/7390] lr: 1.000e-03, eta: 2:20:23, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.7981, losses_bboxes: 0.4546, loss: 8.2528 2022-11-03 09:35:44,021 - mmdet - INFO - Epoch [11][3850/7390] lr: 1.000e-03, eta: 2:19:45, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8024, losses_bboxes: 0.4540, loss: 8.2564 2022-11-03 09:36:23,113 - mmdet - INFO - Epoch [11][3900/7390] lr: 1.000e-03, eta: 2:19:07, time: 0.782, data_time: 0.009, memory: 43494, loss_cls: 7.7989, losses_bboxes: 0.4545, loss: 8.2534 2022-11-03 09:37:02,140 - mmdet - INFO - Epoch [11][3950/7390] lr: 1.000e-03, eta: 2:18:29, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.7961, losses_bboxes: 0.4544, loss: 8.2505 2022-11-03 09:37:40,557 - mmdet - INFO - Epoch [11][4000/7390] lr: 1.000e-03, eta: 2:17:50, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.7985, losses_bboxes: 0.4527, loss: 8.2512 2022-11-03 09:38:19,018 - mmdet - INFO - Epoch [11][4050/7390] lr: 1.000e-03, eta: 2:17:12, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7996, losses_bboxes: 0.4535, loss: 8.2530 2022-11-03 09:38:57,249 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 09:38:57,249 - mmdet - INFO - Epoch [11][4100/7390] lr: 1.000e-03, eta: 2:16:33, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7968, losses_bboxes: 0.4541, loss: 8.2509 2022-11-03 09:39:35,578 - mmdet - INFO - Epoch [11][4150/7390] lr: 1.000e-03, eta: 2:15:55, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7873, losses_bboxes: 0.4521, loss: 8.2394 2022-11-03 09:40:13,523 - mmdet - INFO - Epoch [11][4200/7390] lr: 1.000e-03, eta: 2:15:17, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.7939, losses_bboxes: 0.4534, loss: 8.2473 2022-11-03 09:40:52,573 - mmdet - INFO - Epoch [11][4250/7390] lr: 1.000e-03, eta: 2:14:38, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.8039, losses_bboxes: 0.4534, loss: 8.2573 2022-11-03 09:41:30,914 - mmdet - INFO - Epoch [11][4300/7390] lr: 1.000e-03, eta: 2:14:00, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7905, losses_bboxes: 0.4557, loss: 8.2462 2022-11-03 09:42:09,892 - mmdet - INFO - Epoch [11][4350/7390] lr: 1.000e-03, eta: 2:13:22, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7928, losses_bboxes: 0.4547, loss: 8.2475 2022-11-03 09:42:48,653 - mmdet - INFO - Epoch [11][4400/7390] lr: 1.000e-03, eta: 2:12:43, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.7883, losses_bboxes: 0.4532, loss: 8.2415 2022-11-03 09:43:27,238 - mmdet - INFO - Epoch [11][4450/7390] lr: 1.000e-03, eta: 2:12:05, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7975, losses_bboxes: 0.4528, loss: 8.2503 2022-11-03 09:44:05,750 - mmdet - INFO - Epoch [11][4500/7390] lr: 1.000e-03, eta: 2:11:27, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8005, losses_bboxes: 0.4531, loss: 8.2536 2022-11-03 09:44:44,575 - mmdet - INFO - Epoch [11][4550/7390] lr: 1.000e-03, eta: 2:10:48, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8025, losses_bboxes: 0.4515, loss: 8.2540 2022-11-03 09:45:23,300 - mmdet - INFO - Epoch [11][4600/7390] lr: 1.000e-03, eta: 2:10:10, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7968, losses_bboxes: 0.4540, loss: 8.2508 2022-11-03 09:46:01,441 - mmdet - INFO - Epoch [11][4650/7390] lr: 1.000e-03, eta: 2:09:32, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7917, losses_bboxes: 0.4533, loss: 8.2449 2022-11-03 09:46:40,125 - mmdet - INFO - Epoch [11][4700/7390] lr: 1.000e-03, eta: 2:08:53, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7861, losses_bboxes: 0.4544, loss: 8.2405 2022-11-03 09:47:18,426 - mmdet - INFO - Epoch [11][4750/7390] lr: 1.000e-03, eta: 2:08:15, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.8014, losses_bboxes: 0.4526, loss: 8.2540 2022-11-03 09:47:57,075 - mmdet - INFO - Epoch [11][4800/7390] lr: 1.000e-03, eta: 2:07:37, time: 0.773, data_time: 0.010, memory: 43494, loss_cls: 7.7986, losses_bboxes: 0.4524, loss: 8.2510 2022-11-03 09:48:36,043 - mmdet - INFO - Epoch [11][4850/7390] lr: 1.000e-03, eta: 2:06:58, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.7970, losses_bboxes: 0.4539, loss: 8.2509 2022-11-03 09:49:13,859 - mmdet - INFO - Epoch [11][4900/7390] lr: 1.000e-03, eta: 2:06:20, time: 0.756, data_time: 0.009, memory: 43494, loss_cls: 7.7992, losses_bboxes: 0.4526, loss: 8.2518 2022-11-03 09:49:52,386 - mmdet - INFO - Epoch [11][4950/7390] lr: 1.000e-03, eta: 2:05:42, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7944, losses_bboxes: 0.4537, loss: 8.2480 2022-11-03 09:50:31,067 - mmdet - INFO - Epoch [11][5000/7390] lr: 1.000e-03, eta: 2:05:03, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.8043, losses_bboxes: 0.4534, loss: 8.2577 2022-11-03 09:51:09,721 - mmdet - INFO - Epoch [11][5050/7390] lr: 1.000e-03, eta: 2:04:25, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7928, losses_bboxes: 0.4536, loss: 8.2464 2022-11-03 09:51:47,678 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 09:51:47,679 - mmdet - INFO - Epoch [11][5100/7390] lr: 1.000e-03, eta: 2:03:47, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.7835, losses_bboxes: 0.4534, loss: 8.2370 2022-11-03 09:52:26,435 - mmdet - INFO - Epoch [11][5150/7390] lr: 1.000e-03, eta: 2:03:08, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8083, losses_bboxes: 0.4549, loss: 8.2633 2022-11-03 09:53:05,590 - mmdet - INFO - Epoch [11][5200/7390] lr: 1.000e-03, eta: 2:02:30, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.8086, losses_bboxes: 0.4555, loss: 8.2641 2022-11-03 09:53:44,138 - mmdet - INFO - Epoch [11][5250/7390] lr: 1.000e-03, eta: 2:01:52, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7964, losses_bboxes: 0.4528, loss: 8.2492 2022-11-03 09:54:22,757 - mmdet - INFO - Epoch [11][5300/7390] lr: 1.000e-03, eta: 2:01:13, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7914, losses_bboxes: 0.4516, loss: 8.2430 2022-11-03 09:55:01,858 - mmdet - INFO - Epoch [11][5350/7390] lr: 1.000e-03, eta: 2:00:35, time: 0.782, data_time: 0.009, memory: 43494, loss_cls: 7.7809, losses_bboxes: 0.4560, loss: 8.2369 2022-11-03 09:55:40,857 - mmdet - INFO - Epoch [11][5400/7390] lr: 1.000e-03, eta: 1:59:57, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.8021, losses_bboxes: 0.4553, loss: 8.2573 2022-11-03 09:56:18,995 - mmdet - INFO - Epoch [11][5450/7390] lr: 1.000e-03, eta: 1:59:18, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7918, losses_bboxes: 0.4524, loss: 8.2442 2022-11-03 09:56:57,445 - mmdet - INFO - Epoch [11][5500/7390] lr: 1.000e-03, eta: 1:58:40, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7966, losses_bboxes: 0.4522, loss: 8.2488 2022-11-03 09:57:36,385 - mmdet - INFO - Epoch [11][5550/7390] lr: 1.000e-03, eta: 1:58:02, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.8021, losses_bboxes: 0.4544, loss: 8.2564 2022-11-03 09:58:15,345 - mmdet - INFO - Epoch [11][5600/7390] lr: 1.000e-03, eta: 1:57:23, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.7934, losses_bboxes: 0.4545, loss: 8.2479 2022-11-03 09:58:53,138 - mmdet - INFO - Epoch [11][5650/7390] lr: 1.000e-03, eta: 1:56:45, time: 0.756, data_time: 0.009, memory: 43494, loss_cls: 7.7915, losses_bboxes: 0.4559, loss: 8.2474 2022-11-03 09:59:30,896 - mmdet - INFO - Epoch [11][5700/7390] lr: 1.000e-03, eta: 1:56:07, time: 0.755, data_time: 0.009, memory: 43494, loss_cls: 7.7929, losses_bboxes: 0.4522, loss: 8.2450 2022-11-03 10:00:09,218 - mmdet - INFO - Epoch [11][5750/7390] lr: 1.000e-03, eta: 1:55:28, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7889, losses_bboxes: 0.4536, loss: 8.2425 2022-11-03 10:00:48,348 - mmdet - INFO - Epoch [11][5800/7390] lr: 1.000e-03, eta: 1:54:50, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.7873, losses_bboxes: 0.4536, loss: 8.2409 2022-11-03 10:01:27,052 - mmdet - INFO - Epoch [11][5850/7390] lr: 1.000e-03, eta: 1:54:12, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7967, losses_bboxes: 0.4556, loss: 8.2523 2022-11-03 10:02:05,377 - mmdet - INFO - Epoch [11][5900/7390] lr: 1.000e-03, eta: 1:53:33, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7982, losses_bboxes: 0.4528, loss: 8.2510 2022-11-03 10:02:44,147 - mmdet - INFO - Epoch [11][5950/7390] lr: 1.000e-03, eta: 1:52:55, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.7925, losses_bboxes: 0.4529, loss: 8.2454 2022-11-03 10:03:22,644 - mmdet - INFO - Epoch [11][6000/7390] lr: 1.000e-03, eta: 1:52:17, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7922, losses_bboxes: 0.4545, loss: 8.2467 2022-11-03 10:04:00,841 - mmdet - INFO - Epoch [11][6050/7390] lr: 1.000e-03, eta: 1:51:38, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.7940, losses_bboxes: 0.4543, loss: 8.2483 2022-11-03 10:04:39,552 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 10:04:39,553 - mmdet - INFO - Epoch [11][6100/7390] lr: 1.000e-03, eta: 1:51:00, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7898, losses_bboxes: 0.4529, loss: 8.2427 2022-11-03 10:05:18,379 - mmdet - INFO - Epoch [11][6150/7390] lr: 1.000e-03, eta: 1:50:22, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7822, losses_bboxes: 0.4526, loss: 8.2348 2022-11-03 10:05:57,032 - mmdet - INFO - Epoch [11][6200/7390] lr: 1.000e-03, eta: 1:49:43, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8039, losses_bboxes: 0.4542, loss: 8.2582 2022-11-03 10:06:36,051 - mmdet - INFO - Epoch [11][6250/7390] lr: 1.000e-03, eta: 1:49:05, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7940, losses_bboxes: 0.4517, loss: 8.2457 2022-11-03 10:07:14,673 - mmdet - INFO - Epoch [11][6300/7390] lr: 1.000e-03, eta: 1:48:27, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8002, losses_bboxes: 0.4561, loss: 8.2563 2022-11-03 10:07:53,308 - mmdet - INFO - Epoch [11][6350/7390] lr: 1.000e-03, eta: 1:47:48, time: 0.773, data_time: 0.010, memory: 43494, loss_cls: 7.8028, losses_bboxes: 0.4528, loss: 8.2556 2022-11-03 10:08:32,089 - mmdet - INFO - Epoch [11][6400/7390] lr: 1.000e-03, eta: 1:47:10, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.7902, losses_bboxes: 0.4536, loss: 8.2438 2022-11-03 10:09:11,232 - mmdet - INFO - Epoch [11][6450/7390] lr: 1.000e-03, eta: 1:46:32, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.7858, losses_bboxes: 0.4557, loss: 8.2415 2022-11-03 10:09:49,847 - mmdet - INFO - Epoch [11][6500/7390] lr: 1.000e-03, eta: 1:45:53, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7983, losses_bboxes: 0.4531, loss: 8.2513 2022-11-03 10:10:28,723 - mmdet - INFO - Epoch [11][6550/7390] lr: 1.000e-03, eta: 1:45:15, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7910, losses_bboxes: 0.4531, loss: 8.2441 2022-11-03 10:11:07,460 - mmdet - INFO - Epoch [11][6600/7390] lr: 1.000e-03, eta: 1:44:37, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8025, losses_bboxes: 0.4544, loss: 8.2569 2022-11-03 10:11:46,307 - mmdet - INFO - Epoch [11][6650/7390] lr: 1.000e-03, eta: 1:43:58, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.8041, losses_bboxes: 0.4552, loss: 8.2593 2022-11-03 10:12:25,178 - mmdet - INFO - Epoch [11][6700/7390] lr: 1.000e-03, eta: 1:43:20, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7919, losses_bboxes: 0.4543, loss: 8.2462 2022-11-03 10:13:04,355 - mmdet - INFO - Epoch [11][6750/7390] lr: 1.000e-03, eta: 1:42:42, time: 0.784, data_time: 0.009, memory: 43494, loss_cls: 7.7949, losses_bboxes: 0.4553, loss: 8.2502 2022-11-03 10:13:43,239 - mmdet - INFO - Epoch [11][6800/7390] lr: 1.000e-03, eta: 1:42:03, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7897, losses_bboxes: 0.4556, loss: 8.2453 2022-11-03 10:14:21,162 - mmdet - INFO - Epoch [11][6850/7390] lr: 1.000e-03, eta: 1:41:25, time: 0.758, data_time: 0.009, memory: 43494, loss_cls: 7.8025, losses_bboxes: 0.4507, loss: 8.2532 2022-11-03 10:14:59,444 - mmdet - INFO - Epoch [11][6900/7390] lr: 1.000e-03, eta: 1:40:47, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7932, losses_bboxes: 0.4530, loss: 8.2462 2022-11-03 10:15:38,421 - mmdet - INFO - Epoch [11][6950/7390] lr: 1.000e-03, eta: 1:40:08, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7981, losses_bboxes: 0.4542, loss: 8.2524 2022-11-03 10:16:16,711 - mmdet - INFO - Epoch [11][7000/7390] lr: 1.000e-03, eta: 1:39:30, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7956, losses_bboxes: 0.4536, loss: 8.2492 2022-11-03 10:16:55,132 - mmdet - INFO - Epoch [11][7050/7390] lr: 1.000e-03, eta: 1:38:52, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.7975, losses_bboxes: 0.4531, loss: 8.2506 2022-11-03 10:17:33,841 - mmdet - INFO - Exp name: retinanet.py 2022-11-03 10:17:33,842 - mmdet - INFO - Epoch [11][7100/7390] lr: 1.000e-03, eta: 1:38:13, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7918, losses_bboxes: 0.4540, loss: 8.2458 2022-11-03 10:18:12,140 - mmdet - INFO - Epoch [11][7150/7390] lr: 1.000e-03, eta: 1:37:35, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7892, losses_bboxes: 0.4533, loss: 8.2425 2022-11-03 10:18:50,667 - mmdet - INFO - Epoch [11][7200/7390] lr: 1.000e-03, eta: 1:36:56, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8004, losses_bboxes: 0.4551, loss: 8.2554 2022-11-03 10:19:29,667 - mmdet - INFO - Epoch [11][7250/7390] lr: 1.000e-03, eta: 1:36:18, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7996, losses_bboxes: 0.4541, loss: 8.2537 2022-11-03 10:20:08,399 - mmdet - INFO - Epoch [11][7300/7390] lr: 1.000e-03, eta: 1:35:40, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8028, losses_bboxes: 0.4528, loss: 8.2556 2022-11-03 10:20:47,320 - mmdet - INFO - Epoch [11][7350/7390] lr: 1.000e-03, eta: 1:35:01, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.8016, losses_bboxes: 0.4539, loss: 8.2554 2022-11-03 10:21:18,249 - mmdet - INFO - Saving checkpoint at 11 epochs 2022-11-03 10:22:00,739 - mmdet - INFO - Epoch [12][50/7390] lr: 1.000e-04, eta: 1:33:50, time: 0.831, data_time: 0.070, memory: 43494, loss_cls: 7.7948, losses_bboxes: 0.4544, loss: 8.2492 2022-11-03 10:22:39,325 - mmdet - INFO - Epoch [12][100/7390] lr: 1.000e-04, eta: 1:33:12, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7981, losses_bboxes: 0.4538, loss: 8.2519 2022-11-03 10:23:18,197 - mmdet - INFO - Epoch [12][150/7390] lr: 1.000e-04, eta: 1:32:33, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7945, losses_bboxes: 0.4550, loss: 8.2495 2022-11-03 10:23:56,294 - mmdet - INFO - Epoch [12][200/7390] lr: 1.000e-04, eta: 1:31:55, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7999, losses_bboxes: 0.4533, loss: 8.2532 2022-11-03 10:24:35,187 - mmdet - INFO - Epoch [12][250/7390] lr: 1.000e-04, eta: 1:31:17, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7926, losses_bboxes: 0.4535, loss: 8.2461 2022-11-03 10:25:13,634 - mmdet - INFO - Epoch [12][300/7390] lr: 1.000e-04, eta: 1:30:38, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7872, losses_bboxes: 0.4537, loss: 8.2409 2022-11-03 10:25:51,935 - mmdet - INFO - Epoch [12][350/7390] lr: 1.000e-04, eta: 1:30:00, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7958, losses_bboxes: 0.4530, loss: 8.2488 2022-11-03 10:26:30,067 - mmdet - INFO - Epoch [12][400/7390] lr: 1.000e-04, eta: 1:29:22, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7971, losses_bboxes: 0.4526, loss: 8.2497 2022-11-03 10:27:09,002 - mmdet - INFO - Epoch [12][450/7390] lr: 1.000e-04, eta: 1:28:43, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.7959, losses_bboxes: 0.4540, loss: 8.2498 2022-11-03 10:27:47,554 - mmdet - INFO - Epoch [12][500/7390] lr: 1.000e-04, eta: 1:28:05, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7911, losses_bboxes: 0.4535, loss: 8.2446 2022-11-03 10:28:26,180 - mmdet - INFO - Epoch [12][550/7390] lr: 1.000e-04, eta: 1:27:27, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8017, losses_bboxes: 0.4532, loss: 8.2549 2022-11-03 10:29:04,615 - mmdet - INFO - Epoch [12][600/7390] lr: 1.000e-04, eta: 1:26:48, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.8040, losses_bboxes: 0.4510, loss: 8.2550 2022-11-03 10:29:42,491 - mmdet - INFO - Epoch [12][650/7390] lr: 1.000e-04, eta: 1:26:10, time: 0.758, data_time: 0.009, memory: 43494, loss_cls: 7.7955, losses_bboxes: 0.4529, loss: 8.2485 2022-11-03 10:30:20,743 - mmdet - INFO - Epoch [12][700/7390] lr: 1.000e-04, eta: 1:25:31, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7951, losses_bboxes: 0.4519, loss: 8.2469 2022-11-03 10:30:58,823 - mmdet - INFO - Epoch [12][750/7390] lr: 1.000e-04, eta: 1:24:53, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7908, losses_bboxes: 0.4536, loss: 8.2444 2022-11-03 10:31:36,700 - mmdet - INFO - Epoch [12][800/7390] lr: 1.000e-04, eta: 1:24:15, time: 0.758, data_time: 0.009, memory: 43494, loss_cls: 7.7914, losses_bboxes: 0.4521, loss: 8.2436 2022-11-03 10:32:15,376 - mmdet - INFO - Epoch [12][850/7390] lr: 1.000e-04, eta: 1:23:36, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7989, losses_bboxes: 0.4518, loss: 8.2507 2022-11-03 10:32:53,455 - mmdet - INFO - Epoch [12][900/7390] lr: 1.000e-04, eta: 1:22:58, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7963, losses_bboxes: 0.4527, loss: 8.2490 2022-11-03 10:33:32,652 - mmdet - INFO - Epoch [12][950/7390] lr: 1.000e-04, eta: 1:22:20, time: 0.784, data_time: 0.009, memory: 43494, loss_cls: 7.7943, losses_bboxes: 0.4539, loss: 8.2482 2022-11-03 10:34:11,106 - mmdet - INFO - Epoch [12][1000/7390] lr: 1.000e-04, eta: 1:21:41, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7907, losses_bboxes: 0.4546, loss: 8.2453 2022-11-03 10:34:49,659 - mmdet - INFO - Epoch [12][1050/7390] lr: 1.000e-04, eta: 1:21:03, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.8088, losses_bboxes: 0.4549, loss: 8.2638 2022-11-03 10:35:28,188 - mmdet - INFO - Epoch [12][1100/7390] lr: 1.000e-04, eta: 1:20:25, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7942, losses_bboxes: 0.4520, loss: 8.2462 2022-11-03 10:36:06,026 - mmdet - INFO - Epoch [12][1150/7390] lr: 1.000e-04, eta: 1:19:46, time: 0.757, data_time: 0.009, memory: 43494, loss_cls: 7.8007, losses_bboxes: 0.4534, loss: 8.2541 2022-11-03 10:36:44,673 - mmdet - INFO - Epoch [12][1200/7390] lr: 1.000e-04, eta: 1:19:08, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7896, losses_bboxes: 0.4529, loss: 8.2426 2022-11-03 10:37:22,777 - mmdet - INFO - Epoch [12][1250/7390] lr: 1.000e-04, eta: 1:18:30, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7971, losses_bboxes: 0.4526, loss: 8.2497 2022-11-03 10:38:01,771 - mmdet - INFO - Epoch [12][1300/7390] lr: 1.000e-04, eta: 1:17:51, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7993, losses_bboxes: 0.4566, loss: 8.2558 2022-11-03 10:38:40,091 - mmdet - INFO - Epoch [12][1350/7390] lr: 1.000e-04, eta: 1:17:13, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7995, losses_bboxes: 0.4534, loss: 8.2529 2022-11-03 10:39:18,125 - mmdet - INFO - Epoch [12][1400/7390] lr: 1.000e-04, eta: 1:16:34, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.7990, losses_bboxes: 0.4526, loss: 8.2516 2022-11-03 10:39:56,551 - mmdet - INFO - Epoch [12][1450/7390] lr: 1.000e-04, eta: 1:15:56, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7928, losses_bboxes: 0.4542, loss: 8.2471 2022-11-03 10:40:35,635 - mmdet - INFO - Epoch [12][1500/7390] lr: 1.000e-04, eta: 1:15:18, time: 0.782, data_time: 0.009, memory: 43494, loss_cls: 7.7834, losses_bboxes: 0.4536, loss: 8.2370 2022-11-03 10:41:13,960 - mmdet - INFO - Epoch [12][1550/7390] lr: 1.000e-04, eta: 1:14:39, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7890, losses_bboxes: 0.4526, loss: 8.2416 2022-11-03 10:41:52,946 - mmdet - INFO - Epoch [12][1600/7390] lr: 1.000e-04, eta: 1:14:01, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.8006, losses_bboxes: 0.4562, loss: 8.2568 2022-11-03 10:42:31,911 - mmdet - INFO - Epoch [12][1650/7390] lr: 1.000e-04, eta: 1:13:23, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.7967, losses_bboxes: 0.4536, loss: 8.2503 2022-11-03 10:43:09,997 - mmdet - INFO - Epoch [12][1700/7390] lr: 1.000e-04, eta: 1:12:44, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7902, losses_bboxes: 0.4550, loss: 8.2453 2022-11-03 10:43:47,948 - mmdet - INFO - Epoch [12][1750/7390] lr: 1.000e-04, eta: 1:12:06, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.7943, losses_bboxes: 0.4563, loss: 8.2506 2022-11-03 10:44:26,453 - mmdet - INFO - Epoch [12][1800/7390] lr: 1.000e-04, eta: 1:11:28, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7988, losses_bboxes: 0.4539, loss: 8.2527 2022-11-03 10:45:04,618 - mmdet - INFO - Epoch [12][1850/7390] lr: 1.000e-04, eta: 1:10:49, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7905, losses_bboxes: 0.4544, loss: 8.2449 2022-11-03 10:45:42,831 - mmdet - INFO - Epoch [12][1900/7390] lr: 1.000e-04, eta: 1:10:11, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.7996, losses_bboxes: 0.4528, loss: 8.2524 2022-11-03 10:46:20,879 - mmdet - INFO - Epoch [12][1950/7390] lr: 1.000e-04, eta: 1:09:33, time: 0.761, data_time: 0.009, memory: 43494, loss_cls: 7.7943, losses_bboxes: 0.4527, loss: 8.2470 2022-11-03 10:46:59,210 - mmdet - INFO - Epoch [12][2000/7390] lr: 1.000e-04, eta: 1:08:54, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7891, losses_bboxes: 0.4523, loss: 8.2414 2022-11-03 10:47:37,163 - mmdet - INFO - Epoch [12][2050/7390] lr: 1.000e-04, eta: 1:08:16, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.7935, losses_bboxes: 0.4522, loss: 8.2457 2022-11-03 10:48:15,403 - mmdet - INFO - Epoch [12][2100/7390] lr: 1.000e-04, eta: 1:07:38, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7937, losses_bboxes: 0.4536, loss: 8.2473 2022-11-03 10:48:54,214 - mmdet - INFO - Epoch [12][2150/7390] lr: 1.000e-04, eta: 1:06:59, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.7976, losses_bboxes: 0.4540, loss: 8.2516 2022-11-03 10:49:32,930 - mmdet - INFO - Epoch [12][2200/7390] lr: 1.000e-04, eta: 1:06:21, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7955, losses_bboxes: 0.4545, loss: 8.2500 2022-11-03 10:50:11,499 - mmdet - INFO - Epoch [12][2250/7390] lr: 1.000e-04, eta: 1:05:43, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7879, losses_bboxes: 0.4557, loss: 8.2436 2022-11-03 10:50:50,810 - mmdet - INFO - Epoch [12][2300/7390] lr: 1.000e-04, eta: 1:05:04, time: 0.786, data_time: 0.009, memory: 43494, loss_cls: 7.8035, losses_bboxes: 0.4558, loss: 8.2593 2022-11-03 10:51:29,939 - mmdet - INFO - Epoch [12][2350/7390] lr: 1.000e-04, eta: 1:04:26, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.7943, losses_bboxes: 0.4538, loss: 8.2481 2022-11-03 10:52:08,199 - mmdet - INFO - Epoch [12][2400/7390] lr: 1.000e-04, eta: 1:03:48, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7931, losses_bboxes: 0.4532, loss: 8.2462 2022-11-03 10:52:46,125 - mmdet - INFO - Epoch [12][2450/7390] lr: 1.000e-04, eta: 1:03:09, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.7974, losses_bboxes: 0.4540, loss: 8.2515 2022-11-03 10:53:24,319 - mmdet - INFO - Epoch [12][2500/7390] lr: 1.000e-04, eta: 1:02:31, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.7975, losses_bboxes: 0.4526, loss: 8.2500 2022-11-03 10:54:02,405 - mmdet - INFO - Epoch [12][2550/7390] lr: 1.000e-04, eta: 1:01:52, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.8036, losses_bboxes: 0.4511, loss: 8.2547 2022-11-03 10:54:40,531 - mmdet - INFO - Epoch [12][2600/7390] lr: 1.000e-04, eta: 1:01:14, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.7907, losses_bboxes: 0.4525, loss: 8.2432 2022-11-03 10:55:19,446 - mmdet - INFO - Epoch [12][2650/7390] lr: 1.000e-04, eta: 1:00:36, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7922, losses_bboxes: 0.4556, loss: 8.2478 2022-11-03 10:55:57,769 - mmdet - INFO - Epoch [12][2700/7390] lr: 1.000e-04, eta: 0:59:57, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7977, losses_bboxes: 0.4539, loss: 8.2517 2022-11-03 10:56:36,289 - mmdet - INFO - Epoch [12][2750/7390] lr: 1.000e-04, eta: 0:59:19, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8077, losses_bboxes: 0.4537, loss: 8.2615 2022-11-03 10:57:14,693 - mmdet - INFO - Epoch [12][2800/7390] lr: 1.000e-04, eta: 0:58:41, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8029, losses_bboxes: 0.4546, loss: 8.2576 2022-11-03 10:57:53,359 - mmdet - INFO - Epoch [12][2850/7390] lr: 1.000e-04, eta: 0:58:02, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7981, losses_bboxes: 0.4554, loss: 8.2535 2022-11-03 10:58:32,147 - mmdet - INFO - Epoch [12][2900/7390] lr: 1.000e-04, eta: 0:57:24, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.7980, losses_bboxes: 0.4533, loss: 8.2513 2022-11-03 10:59:10,248 - mmdet - INFO - Epoch [12][2950/7390] lr: 1.000e-04, eta: 0:56:46, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7867, losses_bboxes: 0.4524, loss: 8.2391 2022-11-03 10:59:48,815 - mmdet - INFO - Epoch [12][3000/7390] lr: 1.000e-04, eta: 0:56:07, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7881, losses_bboxes: 0.4536, loss: 8.2417 2022-11-03 11:00:27,914 - mmdet - INFO - Epoch [12][3050/7390] lr: 1.000e-04, eta: 0:55:29, time: 0.782, data_time: 0.009, memory: 43494, loss_cls: 7.8023, losses_bboxes: 0.4536, loss: 8.2559 2022-11-03 11:01:07,103 - mmdet - INFO - Epoch [12][3100/7390] lr: 1.000e-04, eta: 0:54:51, time: 0.784, data_time: 0.009, memory: 43494, loss_cls: 7.7977, losses_bboxes: 0.4556, loss: 8.2533 2022-11-03 11:01:46,083 - mmdet - INFO - Epoch [12][3150/7390] lr: 1.000e-04, eta: 0:54:12, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7936, losses_bboxes: 0.4540, loss: 8.2476 2022-11-03 11:02:25,218 - mmdet - INFO - Epoch [12][3200/7390] lr: 1.000e-04, eta: 0:53:34, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.7888, losses_bboxes: 0.4559, loss: 8.2447 2022-11-03 11:03:03,787 - mmdet - INFO - Epoch [12][3250/7390] lr: 1.000e-04, eta: 0:52:56, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7915, losses_bboxes: 0.4543, loss: 8.2458 2022-11-03 11:03:42,736 - mmdet - INFO - Epoch [12][3300/7390] lr: 1.000e-04, eta: 0:52:17, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.8042, losses_bboxes: 0.4532, loss: 8.2574 2022-11-03 11:04:21,319 - mmdet - INFO - Epoch [12][3350/7390] lr: 1.000e-04, eta: 0:51:39, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7959, losses_bboxes: 0.4542, loss: 8.2501 2022-11-03 11:05:00,184 - mmdet - INFO - Epoch [12][3400/7390] lr: 1.000e-04, eta: 0:51:01, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.8043, losses_bboxes: 0.4543, loss: 8.2586 2022-11-03 11:05:38,540 - mmdet - INFO - Epoch [12][3450/7390] lr: 1.000e-04, eta: 0:50:22, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7979, losses_bboxes: 0.4536, loss: 8.2515 2022-11-03 11:06:17,052 - mmdet - INFO - Epoch [12][3500/7390] lr: 1.000e-04, eta: 0:49:44, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.8018, losses_bboxes: 0.4534, loss: 8.2552 2022-11-03 11:06:55,659 - mmdet - INFO - Epoch [12][3550/7390] lr: 1.000e-04, eta: 0:49:06, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7900, losses_bboxes: 0.4531, loss: 8.2431 2022-11-03 11:07:34,168 - mmdet - INFO - Epoch [12][3600/7390] lr: 1.000e-04, eta: 0:48:27, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7872, losses_bboxes: 0.4518, loss: 8.2390 2022-11-03 11:08:12,674 - mmdet - INFO - Epoch [12][3650/7390] lr: 1.000e-04, eta: 0:47:49, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7977, losses_bboxes: 0.4527, loss: 8.2504 2022-11-03 11:08:51,172 - mmdet - INFO - Epoch [12][3700/7390] lr: 1.000e-04, eta: 0:47:11, time: 0.770, data_time: 0.008, memory: 43494, loss_cls: 7.7994, losses_bboxes: 0.4541, loss: 8.2535 2022-11-03 11:09:29,988 - mmdet - INFO - Epoch [12][3750/7390] lr: 1.000e-04, eta: 0:46:32, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.7950, losses_bboxes: 0.4552, loss: 8.2502 2022-11-03 11:10:08,497 - mmdet - INFO - Epoch [12][3800/7390] lr: 1.000e-04, eta: 0:45:54, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7935, losses_bboxes: 0.4529, loss: 8.2465 2022-11-03 11:10:47,001 - mmdet - INFO - Epoch [12][3850/7390] lr: 1.000e-04, eta: 0:45:15, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7953, losses_bboxes: 0.4535, loss: 8.2488 2022-11-03 11:11:25,608 - mmdet - INFO - Epoch [12][3900/7390] lr: 1.000e-04, eta: 0:44:37, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7882, losses_bboxes: 0.4530, loss: 8.2412 2022-11-03 11:12:04,504 - mmdet - INFO - Epoch [12][3950/7390] lr: 1.000e-04, eta: 0:43:59, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7980, losses_bboxes: 0.4561, loss: 8.2542 2022-11-03 11:12:42,643 - mmdet - INFO - Epoch [12][4000/7390] lr: 1.000e-04, eta: 0:43:20, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8010, losses_bboxes: 0.4514, loss: 8.2524 2022-11-03 11:13:20,719 - mmdet - INFO - Epoch [12][4050/7390] lr: 1.000e-04, eta: 0:42:42, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7977, losses_bboxes: 0.4545, loss: 8.2521 2022-11-03 11:13:58,469 - mmdet - INFO - Epoch [12][4100/7390] lr: 1.000e-04, eta: 0:42:04, time: 0.755, data_time: 0.009, memory: 43494, loss_cls: 7.7916, losses_bboxes: 0.4556, loss: 8.2472 2022-11-03 11:14:36,457 - mmdet - INFO - Epoch [12][4150/7390] lr: 1.000e-04, eta: 0:41:25, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.8031, losses_bboxes: 0.4551, loss: 8.2583 2022-11-03 11:15:14,859 - mmdet - INFO - Epoch [12][4200/7390] lr: 1.000e-04, eta: 0:40:47, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.7926, losses_bboxes: 0.4533, loss: 8.2459 2022-11-03 11:15:53,444 - mmdet - INFO - Epoch [12][4250/7390] lr: 1.000e-04, eta: 0:40:09, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7940, losses_bboxes: 0.4517, loss: 8.2457 2022-11-03 11:16:32,207 - mmdet - INFO - Epoch [12][4300/7390] lr: 1.000e-04, eta: 0:39:30, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8018, losses_bboxes: 0.4527, loss: 8.2545 2022-11-03 11:17:10,157 - mmdet - INFO - Epoch [12][4350/7390] lr: 1.000e-04, eta: 0:38:52, time: 0.759, data_time: 0.008, memory: 43494, loss_cls: 7.8057, losses_bboxes: 0.4533, loss: 8.2590 2022-11-03 11:17:48,438 - mmdet - INFO - Epoch [12][4400/7390] lr: 1.000e-04, eta: 0:38:13, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7881, losses_bboxes: 0.4529, loss: 8.2411 2022-11-03 11:18:26,908 - mmdet - INFO - Epoch [12][4450/7390] lr: 1.000e-04, eta: 0:37:35, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7950, losses_bboxes: 0.4531, loss: 8.2481 2022-11-03 11:19:05,725 - mmdet - INFO - Epoch [12][4500/7390] lr: 1.000e-04, eta: 0:36:57, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.8041, losses_bboxes: 0.4521, loss: 8.2562 2022-11-03 11:19:44,027 - mmdet - INFO - Epoch [12][4550/7390] lr: 1.000e-04, eta: 0:36:18, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.8037, losses_bboxes: 0.4516, loss: 8.2553 2022-11-03 11:20:23,636 - mmdet - INFO - Epoch [12][4600/7390] lr: 1.000e-04, eta: 0:35:40, time: 0.792, data_time: 0.009, memory: 43494, loss_cls: 7.7972, losses_bboxes: 0.4536, loss: 8.2508 2022-11-03 11:21:02,337 - mmdet - INFO - Epoch [12][4650/7390] lr: 1.000e-04, eta: 0:35:02, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7967, losses_bboxes: 0.4526, loss: 8.2493 2022-11-03 11:21:40,708 - mmdet - INFO - Epoch [12][4700/7390] lr: 1.000e-04, eta: 0:34:23, time: 0.767, data_time: 0.009, memory: 43494, loss_cls: 7.7939, losses_bboxes: 0.4533, loss: 8.2472 2022-11-03 11:22:18,840 - mmdet - INFO - Epoch [12][4750/7390] lr: 1.000e-04, eta: 0:33:45, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8033, losses_bboxes: 0.4541, loss: 8.2574 2022-11-03 11:22:57,010 - mmdet - INFO - Epoch [12][4800/7390] lr: 1.000e-04, eta: 0:33:07, time: 0.763, data_time: 0.009, memory: 43494, loss_cls: 7.8012, losses_bboxes: 0.4542, loss: 8.2554 2022-11-03 11:23:35,669 - mmdet - INFO - Epoch [12][4850/7390] lr: 1.000e-04, eta: 0:32:28, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.7937, losses_bboxes: 0.4540, loss: 8.2478 2022-11-03 11:24:13,980 - mmdet - INFO - Epoch [12][4900/7390] lr: 1.000e-04, eta: 0:31:50, time: 0.766, data_time: 0.009, memory: 43494, loss_cls: 7.7900, losses_bboxes: 0.4533, loss: 8.2433 2022-11-03 11:24:52,465 - mmdet - INFO - Epoch [12][4950/7390] lr: 1.000e-04, eta: 0:31:12, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7962, losses_bboxes: 0.4520, loss: 8.2481 2022-11-03 11:25:30,715 - mmdet - INFO - Epoch [12][5000/7390] lr: 1.000e-04, eta: 0:30:33, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7932, losses_bboxes: 0.4513, loss: 8.2444 2022-11-03 11:26:09,420 - mmdet - INFO - Epoch [12][5050/7390] lr: 1.000e-04, eta: 0:29:55, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7872, losses_bboxes: 0.4527, loss: 8.2399 2022-11-03 11:26:47,541 - mmdet - INFO - Epoch [12][5100/7390] lr: 1.000e-04, eta: 0:29:16, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7942, losses_bboxes: 0.4523, loss: 8.2465 2022-11-03 11:27:25,782 - mmdet - INFO - Epoch [12][5150/7390] lr: 1.000e-04, eta: 0:28:38, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7996, losses_bboxes: 0.4552, loss: 8.2548 2022-11-03 11:28:04,406 - mmdet - INFO - Epoch [12][5200/7390] lr: 1.000e-04, eta: 0:28:00, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8038, losses_bboxes: 0.4538, loss: 8.2576 2022-11-03 11:28:43,094 - mmdet - INFO - Epoch [12][5250/7390] lr: 1.000e-04, eta: 0:27:21, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7902, losses_bboxes: 0.4532, loss: 8.2434 2022-11-03 11:29:22,118 - mmdet - INFO - Epoch [12][5300/7390] lr: 1.000e-04, eta: 0:26:43, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7965, losses_bboxes: 0.4527, loss: 8.2492 2022-11-03 11:30:01,055 - mmdet - INFO - Epoch [12][5350/7390] lr: 1.000e-04, eta: 0:26:05, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.8004, losses_bboxes: 0.4546, loss: 8.2550 2022-11-03 11:30:39,374 - mmdet - INFO - Epoch [12][5400/7390] lr: 1.000e-04, eta: 0:25:26, time: 0.766, data_time: 0.008, memory: 43494, loss_cls: 7.8049, losses_bboxes: 0.4538, loss: 8.2586 2022-11-03 11:31:18,081 - mmdet - INFO - Epoch [12][5450/7390] lr: 1.000e-04, eta: 0:24:48, time: 0.774, data_time: 0.008, memory: 43494, loss_cls: 7.7922, losses_bboxes: 0.4541, loss: 8.2464 2022-11-03 11:31:57,005 - mmdet - INFO - Epoch [12][5500/7390] lr: 1.000e-04, eta: 0:24:10, time: 0.778, data_time: 0.009, memory: 43494, loss_cls: 7.7930, losses_bboxes: 0.4538, loss: 8.2469 2022-11-03 11:32:35,863 - mmdet - INFO - Epoch [12][5550/7390] lr: 1.000e-04, eta: 0:23:31, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.8041, losses_bboxes: 0.4544, loss: 8.2584 2022-11-03 11:33:14,822 - mmdet - INFO - Epoch [12][5600/7390] lr: 1.000e-04, eta: 0:22:53, time: 0.779, data_time: 0.009, memory: 43494, loss_cls: 7.7947, losses_bboxes: 0.4550, loss: 8.2497 2022-11-03 11:33:52,558 - mmdet - INFO - Epoch [12][5650/7390] lr: 1.000e-04, eta: 0:22:15, time: 0.755, data_time: 0.009, memory: 43494, loss_cls: 7.7874, losses_bboxes: 0.4542, loss: 8.2416 2022-11-03 11:34:30,829 - mmdet - INFO - Epoch [12][5700/7390] lr: 1.000e-04, eta: 0:21:36, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7961, losses_bboxes: 0.4551, loss: 8.2511 2022-11-03 11:35:09,063 - mmdet - INFO - Epoch [12][5750/7390] lr: 1.000e-04, eta: 0:20:58, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7900, losses_bboxes: 0.4536, loss: 8.2435 2022-11-03 11:35:47,778 - mmdet - INFO - Epoch [12][5800/7390] lr: 1.000e-04, eta: 0:20:19, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7924, losses_bboxes: 0.4520, loss: 8.2444 2022-11-03 11:36:25,749 - mmdet - INFO - Epoch [12][5850/7390] lr: 1.000e-04, eta: 0:19:41, time: 0.759, data_time: 0.009, memory: 43494, loss_cls: 7.7903, losses_bboxes: 0.4555, loss: 8.2458 2022-11-03 11:37:04,836 - mmdet - INFO - Epoch [12][5900/7390] lr: 1.000e-04, eta: 0:19:03, time: 0.782, data_time: 0.009, memory: 43494, loss_cls: 7.7883, losses_bboxes: 0.4525, loss: 8.2408 2022-11-03 11:37:43,818 - mmdet - INFO - Epoch [12][5950/7390] lr: 1.000e-04, eta: 0:18:24, time: 0.780, data_time: 0.009, memory: 43494, loss_cls: 7.7934, losses_bboxes: 0.4560, loss: 8.2494 2022-11-03 11:38:22,944 - mmdet - INFO - Epoch [12][6000/7390] lr: 1.000e-04, eta: 0:17:46, time: 0.783, data_time: 0.009, memory: 43494, loss_cls: 7.7971, losses_bboxes: 0.4568, loss: 8.2539 2022-11-03 11:39:00,825 - mmdet - INFO - Epoch [12][6050/7390] lr: 1.000e-04, eta: 0:17:08, time: 0.758, data_time: 0.009, memory: 43494, loss_cls: 7.7979, losses_bboxes: 0.4521, loss: 8.2500 2022-11-03 11:39:38,925 - mmdet - INFO - Epoch [12][6100/7390] lr: 1.000e-04, eta: 0:16:29, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7871, losses_bboxes: 0.4522, loss: 8.2393 2022-11-03 11:40:17,643 - mmdet - INFO - Epoch [12][6150/7390] lr: 1.000e-04, eta: 0:15:51, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7894, losses_bboxes: 0.4554, loss: 8.2447 2022-11-03 11:40:55,647 - mmdet - INFO - Epoch [12][6200/7390] lr: 1.000e-04, eta: 0:15:13, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.7974, losses_bboxes: 0.4525, loss: 8.2499 2022-11-03 11:41:33,755 - mmdet - INFO - Epoch [12][6250/7390] lr: 1.000e-04, eta: 0:14:34, time: 0.762, data_time: 0.009, memory: 43494, loss_cls: 7.7940, losses_bboxes: 0.4525, loss: 8.2465 2022-11-03 11:42:12,410 - mmdet - INFO - Epoch [12][6300/7390] lr: 1.000e-04, eta: 0:13:56, time: 0.773, data_time: 0.009, memory: 43494, loss_cls: 7.8031, losses_bboxes: 0.4523, loss: 8.2554 2022-11-03 11:42:50,389 - mmdet - INFO - Epoch [12][6350/7390] lr: 1.000e-04, eta: 0:13:17, time: 0.760, data_time: 0.009, memory: 43494, loss_cls: 7.7940, losses_bboxes: 0.4526, loss: 8.2466 2022-11-03 11:43:29,109 - mmdet - INFO - Epoch [12][6400/7390] lr: 1.000e-04, eta: 0:12:39, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7924, losses_bboxes: 0.4546, loss: 8.2470 2022-11-03 11:44:07,583 - mmdet - INFO - Epoch [12][6450/7390] lr: 1.000e-04, eta: 0:12:01, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7933, losses_bboxes: 0.4526, loss: 8.2458 2022-11-03 11:44:46,177 - mmdet - INFO - Epoch [12][6500/7390] lr: 1.000e-04, eta: 0:11:22, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.8009, losses_bboxes: 0.4523, loss: 8.2532 2022-11-03 11:45:24,964 - mmdet - INFO - Epoch [12][6550/7390] lr: 1.000e-04, eta: 0:10:44, time: 0.776, data_time: 0.009, memory: 43494, loss_cls: 7.7949, losses_bboxes: 0.4548, loss: 8.2497 2022-11-03 11:46:03,360 - mmdet - INFO - Epoch [12][6600/7390] lr: 1.000e-04, eta: 0:10:06, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.8007, losses_bboxes: 0.4543, loss: 8.2550 2022-11-03 11:46:42,406 - mmdet - INFO - Epoch [12][6650/7390] lr: 1.000e-04, eta: 0:09:27, time: 0.781, data_time: 0.009, memory: 43494, loss_cls: 7.7944, losses_bboxes: 0.4534, loss: 8.2478 2022-11-03 11:47:21,149 - mmdet - INFO - Epoch [12][6700/7390] lr: 1.000e-04, eta: 0:08:49, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8016, losses_bboxes: 0.4538, loss: 8.2554 2022-11-03 11:47:59,596 - mmdet - INFO - Epoch [12][6750/7390] lr: 1.000e-04, eta: 0:08:11, time: 0.769, data_time: 0.009, memory: 43494, loss_cls: 7.7943, losses_bboxes: 0.4534, loss: 8.2477 2022-11-03 11:48:38,099 - mmdet - INFO - Epoch [12][6800/7390] lr: 1.000e-04, eta: 0:07:32, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7921, losses_bboxes: 0.4542, loss: 8.2462 2022-11-03 11:49:16,302 - mmdet - INFO - Epoch [12][6850/7390] lr: 1.000e-04, eta: 0:06:54, time: 0.764, data_time: 0.009, memory: 43494, loss_cls: 7.7999, losses_bboxes: 0.4538, loss: 8.2538 2022-11-03 11:49:54,698 - mmdet - INFO - Epoch [12][6900/7390] lr: 1.000e-04, eta: 0:06:15, time: 0.768, data_time: 0.009, memory: 43494, loss_cls: 7.7971, losses_bboxes: 0.4533, loss: 8.2504 2022-11-03 11:50:33,447 - mmdet - INFO - Epoch [12][6950/7390] lr: 1.000e-04, eta: 0:05:37, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.7996, losses_bboxes: 0.4545, loss: 8.2540 2022-11-03 11:51:12,153 - mmdet - INFO - Epoch [12][7000/7390] lr: 1.000e-04, eta: 0:04:59, time: 0.774, data_time: 0.009, memory: 43494, loss_cls: 7.7995, losses_bboxes: 0.4529, loss: 8.2525 2022-11-03 11:51:50,687 - mmdet - INFO - Epoch [12][7050/7390] lr: 1.000e-04, eta: 0:04:20, time: 0.771, data_time: 0.009, memory: 43494, loss_cls: 7.7918, losses_bboxes: 0.4521, loss: 8.2439 2022-11-03 11:52:28,924 - mmdet - INFO - Epoch [12][7100/7390] lr: 1.000e-04, eta: 0:03:42, time: 0.765, data_time: 0.009, memory: 43494, loss_cls: 7.7891, losses_bboxes: 0.4536, loss: 8.2427 2022-11-03 11:53:07,664 - mmdet - INFO - Epoch [12][7150/7390] lr: 1.000e-04, eta: 0:03:04, time: 0.775, data_time: 0.009, memory: 43494, loss_cls: 7.8067, losses_bboxes: 0.4534, loss: 8.2601 2022-11-03 11:53:45,496 - mmdet - INFO - Epoch [12][7200/7390] lr: 1.000e-04, eta: 0:02:25, time: 0.757, data_time: 0.009, memory: 43494, loss_cls: 7.8002, losses_bboxes: 0.4542, loss: 8.2544 2022-11-03 11:54:23,999 - mmdet - INFO - Epoch [12][7250/7390] lr: 1.000e-04, eta: 0:01:47, time: 0.770, data_time: 0.009, memory: 43494, loss_cls: 7.7940, losses_bboxes: 0.4541, loss: 8.2481 2022-11-03 11:55:02,609 - mmdet - INFO - Epoch [12][7300/7390] lr: 1.000e-04, eta: 0:01:09, time: 0.772, data_time: 0.009, memory: 43494, loss_cls: 7.7976, losses_bboxes: 0.4524, loss: 8.2500 2022-11-03 11:55:41,461 - mmdet - INFO - Epoch [12][7350/7390] lr: 1.000e-04, eta: 0:00:30, time: 0.777, data_time: 0.009, memory: 43494, loss_cls: 7.7946, losses_bboxes: 0.4533, loss: 8.2479 2022-11-03 11:56:12,883 - mmdet - INFO - Saving checkpoint at 12 epochs