2023-01-27 15:01:13,199 - 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: 4.7.0 MMCV: 1.6.2 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.3 MMDetection: 2.27.0+aacc584 ------------------------------------------------------------ 2023-01-27 15:01:14,555 - mmdet - INFO - Distributed training: True 2023-01-27 15:01:16,039 - mmdet - INFO - Config: model = dict( type='SelfSupDetector', backbone=dict( type='SelfSupMaskRCNN', backbone=dict( type='SwinTransformer', embed_dims=128, depths=[2, 2, 18, 2], num_heads=[4, 8, 16, 32], window_size=7, mlp_ratio=4, qkv_bias=True, qk_scale=None, drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.2, patch_norm=True, out_indices=(0, 1, 2, 3), with_cp=False, frozen_stages=4, convert_weights=True, init_cfg=dict( type='Pretrained', checkpoint='pretrain/simmim/simmim_800e_official.pth')), neck=dict( type='FPN', in_channels=[128, 256, 512, 1024], out_channels=256, num_outs=5), rpn_head=dict( type='RPNHead', in_channels=256, feat_channels=256, anchor_generator=dict( type='AnchorGenerator', scales=[8], ratios=[0.5, 1.0, 2.0], strides=[4, 8, 16, 32, 64]), bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[1.0, 1.0, 1.0, 1.0]), loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), loss_bbox=dict(type='L1Loss', loss_weight=1.0)), roi_head=dict( type='SelfSupStandardRoIHead', bbox_roi_extractor=dict( type='SingleRoIExtractor', roi_layer=dict( type='RoIAlign', output_size=7, sampling_ratio=0), out_channels=256, featmap_strides=[4, 8, 16, 32]), bbox_head=dict( type='SelfSupShared4Conv1FCBBoxHead', in_channels=256, num_classes=256, roi_feat_size=7, reg_class_agnostic=False, loss_bbox=dict(type='L1Loss', loss_weight=1.0), loss_cls=dict( type='ContrastiveLoss', loss_weight=1.0, temperature=0.5)), mask_roi_extractor=None, mask_head=None), train_cfg=dict( rpn=dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.7, neg_iou_thr=0.3, min_pos_iou=0.3, match_low_quality=True, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=4096, pos_fraction=1.0, neg_pos_ub=-1, add_gt_as_proposals=False), allowed_border=-1, pos_weight=-1, debug=False), rpn_proposal=dict( nms_pre=2000, max_per_img=1000, nms=dict(type='nms', iou_threshold=0.7), min_bbox_size=0), rcnn=dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.5, neg_iou_thr=0.5, min_pos_iou=0.5, match_low_quality=True, ignore_iof_thr=-1, gt_max_assign_all=False), sampler=dict( type='RandomSampler', num=4096, pos_fraction=1, neg_pos_ub=0, add_gt_as_proposals=True), mask_size=28, pos_weight=-1, debug=False)), test_cfg=dict( rpn=dict( nms_pre=1000, max_per_img=1000, nms=dict(type='nms', iou_threshold=0.7), min_bbox_size=0), rcnn=dict( score_thr=0.05, nms=dict(type='nms', iou_threshold=0.5), max_per_img=100, mask_thr_binary=0.5)))) 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) ] 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=4, 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) ]), 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, metric='bbox') optimizer = dict( type='AdamW', lr=6e-05, betas=(0.9, 0.999), weight_decay=0.05, paramwise_cfg=dict( custom_keys=dict( absolute_pos_embed=dict(decay_mult=0.0), relative_position_bias_table=dict(decay_mult=0.0), norm=dict(decay_mult=0.0)))) optimizer_config = dict(grad_clip=None) lr_config = dict( policy='step', warmup='linear', warmup_iters=1000, 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=True, base_batch_size=32) 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) pretrained = 'pretrain/simmim/simmim_800e_official.pth' find_unused_parameters = True work_dir = 'work_dirs/selfsup_mask-rcnn_swin-b_simmim-800e' auto_resume = False gpu_ids = range(0, 8) 2023-01-27 15:01:16,039 - mmdet - INFO - Set random seed to 42, deterministic: False 2023-01-27 15:01:17,704 - mmdet - INFO - load checkpoint from local path: pretrain/simmim/simmim_800e_official.pth 2023-01-27 15:01:18,021 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2023-01-27 15:01:18,042 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} 2023-01-27 15:01:18,046 - mmdet - INFO - initialize SelfSupShared4Conv1FCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] 2023-01-27 15:01:18,179 - mmdet - INFO - load checkpoint from local path: pretrain/simmim/simmim_800e_official.pth 2023-01-27 15:01:18,364 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2023-01-27 15:01:18,381 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} 2023-01-27 15:01:18,385 - mmdet - INFO - initialize SelfSupShared4Conv1FCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] Name of parameter - Initialization information online_backbone.backbone.patch_embed.projection.weight - torch.Size([128, 3, 4, 4]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.patch_embed.projection.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.patch_embed.norm.weight - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.patch_embed.norm.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.0.norm1.weight - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.0.norm1.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 4]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.0.attn.w_msa.qkv.weight - torch.Size([384, 128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.0.attn.w_msa.qkv.bias - torch.Size([384]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.0.attn.w_msa.proj.weight - torch.Size([128, 128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.0.attn.w_msa.proj.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.0.norm2.weight - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.0.norm2.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.0.ffn.layers.0.0.weight - torch.Size([512, 128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.0.ffn.layers.0.0.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.0.ffn.layers.1.weight - torch.Size([128, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.0.ffn.layers.1.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.1.norm1.weight - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.1.norm1.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 4]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.1.attn.w_msa.qkv.weight - torch.Size([384, 128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.1.attn.w_msa.qkv.bias - torch.Size([384]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.1.attn.w_msa.proj.weight - torch.Size([128, 128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.1.attn.w_msa.proj.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.1.norm2.weight - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.1.norm2.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.1.ffn.layers.0.0.weight - torch.Size([512, 128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.1.ffn.layers.0.0.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.1.ffn.layers.1.weight - torch.Size([128, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.blocks.1.ffn.layers.1.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.downsample.norm.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.downsample.norm.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.0.downsample.reduction.weight - torch.Size([256, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.0.norm1.weight - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.0.norm1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 8]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.0.attn.w_msa.qkv.weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.0.attn.w_msa.qkv.bias - torch.Size([768]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.0.attn.w_msa.proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.0.attn.w_msa.proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.0.norm2.weight - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.0.norm2.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.0.ffn.layers.0.0.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.0.ffn.layers.0.0.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.0.ffn.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.0.ffn.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.1.norm1.weight - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.1.norm1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 8]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.1.attn.w_msa.qkv.weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.1.attn.w_msa.qkv.bias - torch.Size([768]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.1.attn.w_msa.proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.1.attn.w_msa.proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.1.norm2.weight - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.1.norm2.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.1.ffn.layers.0.0.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.1.ffn.layers.0.0.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.1.ffn.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.blocks.1.ffn.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.downsample.norm.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.downsample.norm.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.1.downsample.reduction.weight - torch.Size([512, 1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.0.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.0.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.0.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.0.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.0.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.0.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.0.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.0.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.0.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.0.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.0.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.0.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.1.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.1.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.1.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.1.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.1.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.1.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.1.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.1.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.1.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.1.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.1.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.1.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.2.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.2.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.2.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.2.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.2.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.2.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.2.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.2.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.2.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.2.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.2.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.2.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.2.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.3.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.3.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.3.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.3.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.3.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.3.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.3.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.3.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.3.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.3.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.3.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.3.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.3.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.4.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.4.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.4.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.4.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.4.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.4.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.4.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.4.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.4.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.4.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.4.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.4.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.4.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.5.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.5.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.5.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.5.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.5.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.5.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.5.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.5.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.5.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.5.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.5.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.5.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.5.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.6.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.6.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.6.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.6.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.6.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.6.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.6.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.6.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.6.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.6.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.6.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.6.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.6.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.7.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.7.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.7.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.7.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.7.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.7.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.7.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.7.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.7.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.7.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.7.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.7.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.7.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.8.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.8.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.8.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.8.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.8.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.8.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.8.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.8.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.8.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.8.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.8.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.8.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.8.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.9.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.9.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.9.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.9.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.9.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.9.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.9.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.9.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.9.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.9.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.9.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.9.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.9.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.10.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.10.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.10.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.10.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.10.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.10.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.10.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.10.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.10.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.10.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.10.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.10.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.10.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.11.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.11.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.11.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.11.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.11.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.11.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.11.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.11.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.11.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.11.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.11.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.11.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.11.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.12.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.12.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.12.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.12.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.12.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.12.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.12.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.12.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.12.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.12.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.12.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.12.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.12.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.13.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.13.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.13.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.13.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.13.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.13.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.13.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.13.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.13.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.13.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.13.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.13.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.13.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.14.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.14.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.14.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.14.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.14.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.14.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.14.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.14.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.14.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.14.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.14.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.14.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.14.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.15.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.15.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.15.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.15.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.15.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.15.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.15.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.15.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.15.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.15.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.15.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.15.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.15.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.16.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.16.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.16.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.16.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.16.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.16.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.16.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.16.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.16.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.16.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.16.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.16.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.16.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.17.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.17.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.17.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.17.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.17.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.17.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.17.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.17.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.17.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.17.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.17.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.17.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.blocks.17.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.downsample.norm.weight - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.downsample.norm.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.2.downsample.reduction.weight - torch.Size([1024, 2048]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.0.norm1.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.0.norm1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 32]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.0.attn.w_msa.qkv.weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.0.attn.w_msa.qkv.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.0.attn.w_msa.proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.0.attn.w_msa.proj.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.0.norm2.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.0.norm2.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.0.ffn.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.0.ffn.layers.0.0.bias - torch.Size([4096]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.0.ffn.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.0.ffn.layers.1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.1.norm1.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.1.norm1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 32]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.1.attn.w_msa.qkv.weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.1.attn.w_msa.qkv.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.1.attn.w_msa.proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.1.attn.w_msa.proj.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.1.norm2.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.1.norm2.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.1.ffn.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.1.ffn.layers.0.0.bias - torch.Size([4096]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.1.ffn.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.stages.3.blocks.1.ffn.layers.1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer online_backbone.backbone.norm0.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.backbone.norm0.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.backbone.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.backbone.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.backbone.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.backbone.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.backbone.norm3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.backbone.norm3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.neck.lateral_convs.0.conv.weight - torch.Size([256, 128, 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, 256, 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, 512, 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.lateral_convs.3.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.neck.lateral_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.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, 256, 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.rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.rpn_head.rpn_conv.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.rpn_head.rpn_cls.bias - torch.Size([3]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.rpn_head.rpn_reg.bias - torch.Size([12]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.roi_head.bbox_head.fc_cls.0.weight - torch.Size([1024, 1024]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.roi_head.bbox_head.fc_cls.0.bias - torch.Size([1024]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.roi_head.bbox_head.fc_cls.2.weight - torch.Size([256, 1024]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.roi_head.bbox_head.fc_cls.2.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 online_backbone.roi_head.bbox_head.fc_reg.weight - torch.Size([1024, 1024]): NormalInit: mean=0, std=0.001, bias=0 online_backbone.roi_head.bbox_head.fc_reg.bias - torch.Size([1024]): NormalInit: mean=0, std=0.001, bias=0 online_backbone.roi_head.bbox_head.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.roi_head.bbox_head.shared_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.roi_head.bbox_head.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.roi_head.bbox_head.shared_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.roi_head.bbox_head.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.roi_head.bbox_head.shared_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.roi_head.bbox_head.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.roi_head.bbox_head.shared_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 online_backbone.roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.backbone.patch_embed.projection.weight - torch.Size([128, 3, 4, 4]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.patch_embed.projection.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.patch_embed.norm.weight - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.patch_embed.norm.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.0.norm1.weight - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.0.norm1.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 4]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.0.attn.w_msa.qkv.weight - torch.Size([384, 128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.0.attn.w_msa.qkv.bias - torch.Size([384]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.0.attn.w_msa.proj.weight - torch.Size([128, 128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.0.attn.w_msa.proj.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.0.norm2.weight - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.0.norm2.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.0.ffn.layers.0.0.weight - torch.Size([512, 128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.0.ffn.layers.0.0.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.0.ffn.layers.1.weight - torch.Size([128, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.0.ffn.layers.1.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.1.norm1.weight - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.1.norm1.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 4]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.1.attn.w_msa.qkv.weight - torch.Size([384, 128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.1.attn.w_msa.qkv.bias - torch.Size([384]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.1.attn.w_msa.proj.weight - torch.Size([128, 128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.1.attn.w_msa.proj.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.1.norm2.weight - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.1.norm2.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.1.ffn.layers.0.0.weight - torch.Size([512, 128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.1.ffn.layers.0.0.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.1.ffn.layers.1.weight - torch.Size([128, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.blocks.1.ffn.layers.1.bias - torch.Size([128]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.downsample.norm.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.downsample.norm.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.0.downsample.reduction.weight - torch.Size([256, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.0.norm1.weight - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.0.norm1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 8]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.0.attn.w_msa.qkv.weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.0.attn.w_msa.qkv.bias - torch.Size([768]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.0.attn.w_msa.proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.0.attn.w_msa.proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.0.norm2.weight - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.0.norm2.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.0.ffn.layers.0.0.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.0.ffn.layers.0.0.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.0.ffn.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.0.ffn.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.1.norm1.weight - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.1.norm1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 8]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.1.attn.w_msa.qkv.weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.1.attn.w_msa.qkv.bias - torch.Size([768]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.1.attn.w_msa.proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.1.attn.w_msa.proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.1.norm2.weight - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.1.norm2.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.1.ffn.layers.0.0.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.1.ffn.layers.0.0.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.1.ffn.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.blocks.1.ffn.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.downsample.norm.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.downsample.norm.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.1.downsample.reduction.weight - torch.Size([512, 1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.0.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.0.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.0.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.0.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.0.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.0.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.0.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.0.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.0.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.0.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.0.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.0.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.1.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.1.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.1.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.1.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.1.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.1.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.1.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.1.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.1.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.1.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.1.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.1.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.2.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.2.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.2.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.2.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.2.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.2.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.2.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.2.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.2.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.2.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.2.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.2.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.2.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.3.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.3.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.3.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.3.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.3.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.3.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.3.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.3.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.3.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.3.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.3.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.3.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.3.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.4.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.4.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.4.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.4.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.4.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.4.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.4.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.4.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.4.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.4.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.4.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.4.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.4.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.5.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.5.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.5.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.5.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.5.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.5.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.5.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.5.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.5.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.5.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.5.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.5.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.5.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.6.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.6.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.6.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.6.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.6.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.6.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.6.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.6.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.6.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.6.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.6.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.6.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.6.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.7.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.7.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.7.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.7.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.7.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.7.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.7.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.7.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.7.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.7.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.7.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.7.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.7.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.8.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.8.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.8.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.8.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.8.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.8.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.8.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.8.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.8.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.8.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.8.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.8.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.8.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.9.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.9.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.9.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.9.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.9.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.9.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.9.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.9.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.9.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.9.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.9.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.9.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.9.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.10.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.10.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.10.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.10.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.10.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.10.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.10.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.10.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.10.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.10.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.10.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.10.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.10.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.11.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.11.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.11.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.11.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.11.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.11.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.11.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.11.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.11.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.11.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.11.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.11.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.11.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.12.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.12.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.12.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.12.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.12.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.12.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.12.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.12.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.12.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.12.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.12.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.12.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.12.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.13.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.13.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.13.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.13.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.13.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.13.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.13.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.13.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.13.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.13.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.13.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.13.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.13.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.14.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.14.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.14.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.14.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.14.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.14.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.14.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.14.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.14.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.14.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.14.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.14.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.14.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.15.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.15.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.15.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.15.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.15.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.15.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.15.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.15.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.15.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.15.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.15.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.15.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.15.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.16.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.16.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.16.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.16.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.16.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.16.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.16.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.16.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.16.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.16.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.16.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.16.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.16.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.17.norm1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.17.norm1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.17.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.17.attn.w_msa.qkv.weight - torch.Size([1536, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.17.attn.w_msa.qkv.bias - torch.Size([1536]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.17.attn.w_msa.proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.17.attn.w_msa.proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.17.norm2.weight - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.17.norm2.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.17.ffn.layers.0.0.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.17.ffn.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.17.ffn.layers.1.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.blocks.17.ffn.layers.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.downsample.norm.weight - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.downsample.norm.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.2.downsample.reduction.weight - torch.Size([1024, 2048]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.0.norm1.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.0.norm1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 32]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.0.attn.w_msa.qkv.weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.0.attn.w_msa.qkv.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.0.attn.w_msa.proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.0.attn.w_msa.proj.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.0.norm2.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.0.norm2.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.0.ffn.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.0.ffn.layers.0.0.bias - torch.Size([4096]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.0.ffn.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.0.ffn.layers.1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.1.norm1.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.1.norm1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 32]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.1.attn.w_msa.qkv.weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.1.attn.w_msa.qkv.bias - torch.Size([3072]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.1.attn.w_msa.proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.1.attn.w_msa.proj.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.1.norm2.weight - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.1.norm2.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.1.ffn.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.1.ffn.layers.0.0.bias - torch.Size([4096]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.1.ffn.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.stages.3.blocks.1.ffn.layers.1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in SwinTransformer target_backbone.backbone.norm0.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.backbone.norm0.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.backbone.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.backbone.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.backbone.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.backbone.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.backbone.norm3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.backbone.norm3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.neck.lateral_convs.0.conv.weight - torch.Size([256, 128, 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, 256, 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, 512, 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.lateral_convs.3.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.neck.lateral_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.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, 256, 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.rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.rpn_head.rpn_conv.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.rpn_head.rpn_cls.bias - torch.Size([3]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.rpn_head.rpn_reg.bias - torch.Size([12]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.roi_head.bbox_head.fc_cls.0.weight - torch.Size([1024, 1024]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.roi_head.bbox_head.fc_cls.0.bias - torch.Size([1024]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.roi_head.bbox_head.fc_cls.2.weight - torch.Size([256, 1024]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.roi_head.bbox_head.fc_cls.2.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 target_backbone.roi_head.bbox_head.fc_reg.weight - torch.Size([1024, 1024]): NormalInit: mean=0, std=0.001, bias=0 target_backbone.roi_head.bbox_head.fc_reg.bias - torch.Size([1024]): NormalInit: mean=0, std=0.001, bias=0 target_backbone.roi_head.bbox_head.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.roi_head.bbox_head.shared_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.roi_head.bbox_head.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.roi_head.bbox_head.shared_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.roi_head.bbox_head.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.roi_head.bbox_head.shared_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.roi_head.bbox_head.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.roi_head.bbox_head.shared_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 target_backbone.roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 2023-01-27 15:01:46,835 - mmdet - INFO - Training with 8 GPU(s) with 4 samples per GPU. The total batch size is 32. 2023-01-27 15:01:46,835 - mmdet - INFO - The batch size match the base batch size: 32, will not scaling the LR (6e-05). 2023-01-27 15:01:47,308 - mmdet - INFO - Start running, host: tiger@n176-118-025, work_dir: /home/tiger/code/mmdet/work_dirs/selfsup_mask-rcnn_swin-b_simmim-800e 2023-01-27 15:01:47,308 - 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 -------------------- 2023-01-27 15:01:47,309 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs 2023-01-27 15:01:47,309 - mmdet - INFO - Checkpoints will be saved to /home/tiger/code/mmdet/work_dirs/selfsup_mask-rcnn_swin-b_simmim-800e by HardDiskBackend. 2023-01-27 15:02:41,409 - mmdet - INFO - Epoch [1][50/3696] lr: 2.997e-06, eta: 13:00:14, time: 1.057, data_time: 0.071, memory: 5810, loss_rpn_cls: 0.6351, loss_rpn_bbox: 0.0318, loss_cls: 7.2407, loss_bbox: 2.0395, loss: 9.9472 2023-01-27 15:03:25,972 - mmdet - INFO - Epoch [1][100/3696] lr: 5.994e-06, eta: 11:58:31, time: 0.892, data_time: 0.016, memory: 5810, loss_rpn_cls: 0.4494, loss_rpn_bbox: 0.0294, loss_cls: 6.6086, loss_bbox: 2.7771, loss: 9.8644 2023-01-27 15:04:10,567 - mmdet - INFO - Epoch [1][150/3696] lr: 8.991e-06, eta: 11:37:28, time: 0.892, data_time: 0.016, memory: 5810, loss_rpn_cls: 0.2152, loss_rpn_bbox: 0.0277, loss_cls: 6.7795, loss_bbox: 2.9866, loss: 10.0090 2023-01-27 15:04:55,375 - mmdet - INFO - Epoch [1][200/3696] lr: 1.199e-05, eta: 11:27:23, time: 0.896, data_time: 0.016, memory: 6168, loss_rpn_cls: 0.1256, loss_rpn_bbox: 0.0272, loss_cls: 6.9124, loss_bbox: 3.1322, loss: 10.1975 2023-01-27 15:05:39,805 - mmdet - INFO - Epoch [1][250/3696] lr: 1.499e-05, eta: 11:19:55, time: 0.889, data_time: 0.016, memory: 7093, loss_rpn_cls: 0.1106, loss_rpn_bbox: 0.0266, loss_cls: 6.9758, loss_bbox: 3.2490, loss: 10.3620 2023-01-27 15:06:24,179 - mmdet - INFO - Epoch [1][300/3696] lr: 1.798e-05, eta: 11:14:31, time: 0.887, data_time: 0.016, memory: 7262, loss_rpn_cls: 0.1073, loss_rpn_bbox: 0.0265, loss_cls: 6.9206, loss_bbox: 3.2682, loss: 10.3226 2023-01-27 15:07:09,879 - mmdet - INFO - Epoch [1][350/3696] lr: 2.098e-05, eta: 11:13:17, time: 0.914, data_time: 0.016, memory: 8777, loss_rpn_cls: 0.1049, loss_rpn_bbox: 0.0266, loss_cls: 6.8878, loss_bbox: 3.2754, loss: 10.2948 2023-01-27 15:07:54,785 - mmdet - INFO - Epoch [1][400/3696] lr: 2.398e-05, eta: 11:10:41, time: 0.898, data_time: 0.016, memory: 8777, loss_rpn_cls: 0.1008, loss_rpn_bbox: 0.0261, loss_cls: 6.8378, loss_bbox: 3.2909, loss: 10.2556 2023-01-27 15:08:39,977 - mmdet - INFO - Epoch [1][450/3696] lr: 2.697e-05, eta: 11:08:58, time: 0.904, data_time: 0.016, memory: 8777, loss_rpn_cls: 0.1006, loss_rpn_bbox: 0.0267, loss_cls: 6.8159, loss_bbox: 3.2704, loss: 10.2137 2023-01-27 15:09:25,242 - mmdet - INFO - Epoch [1][500/3696] lr: 2.997e-05, eta: 11:07:33, time: 0.905, data_time: 0.016, memory: 8777, loss_rpn_cls: 0.0970, loss_rpn_bbox: 0.0273, loss_cls: 6.8032, loss_bbox: 3.2721, loss: 10.1996 2023-01-27 15:10:09,966 - mmdet - INFO - Epoch [1][550/3696] lr: 3.297e-05, eta: 11:05:32, time: 0.894, data_time: 0.016, memory: 8777, loss_rpn_cls: 0.0927, loss_rpn_bbox: 0.0263, loss_cls: 6.7585, loss_bbox: 3.2602, loss: 10.1376 2023-01-27 15:10:54,971 - mmdet - INFO - Epoch [1][600/3696] lr: 3.596e-05, eta: 11:04:04, time: 0.900, data_time: 0.017, memory: 8777, loss_rpn_cls: 0.0889, loss_rpn_bbox: 0.0263, loss_cls: 6.7441, loss_bbox: 3.2784, loss: 10.1377 2023-01-27 15:11:39,378 - mmdet - INFO - Epoch [1][650/3696] lr: 3.896e-05, eta: 11:02:03, time: 0.888, data_time: 0.016, memory: 8777, loss_rpn_cls: 0.0859, loss_rpn_bbox: 0.0261, loss_cls: 6.7423, loss_bbox: 3.2859, loss: 10.1402 2023-01-27 15:12:24,860 - mmdet - INFO - Epoch [1][700/3696] lr: 4.196e-05, eta: 11:01:19, time: 0.910, data_time: 0.017, memory: 9290, loss_rpn_cls: 0.0847, loss_rpn_bbox: 0.0264, loss_cls: 6.7232, loss_bbox: 3.2694, loss: 10.1036 2023-01-27 15:13:08,901 - mmdet - INFO - Epoch [1][750/3696] lr: 4.496e-05, eta: 10:59:12, time: 0.881, data_time: 0.017, memory: 9290, loss_rpn_cls: 0.0819, loss_rpn_bbox: 0.0256, loss_cls: 6.6816, loss_bbox: 3.3135, loss: 10.1026 2023-01-27 15:13:53,325 - mmdet - INFO - Epoch [1][800/3696] lr: 4.795e-05, eta: 10:57:36, time: 0.888, data_time: 0.016, memory: 9290, loss_rpn_cls: 0.0808, loss_rpn_bbox: 0.0256, loss_cls: 6.6625, loss_bbox: 3.2849, loss: 10.0538 2023-01-27 15:14:37,962 - mmdet - INFO - Epoch [1][850/3696] lr: 5.095e-05, eta: 10:56:17, time: 0.893, data_time: 0.017, memory: 9290, loss_rpn_cls: 0.0810, loss_rpn_bbox: 0.0260, loss_cls: 6.6486, loss_bbox: 3.2889, loss: 10.0444 2023-01-27 15:15:22,052 - mmdet - INFO - Epoch [1][900/3696] lr: 5.395e-05, eta: 10:54:35, time: 0.882, data_time: 0.017, memory: 9290, loss_rpn_cls: 0.0775, loss_rpn_bbox: 0.0256, loss_cls: 6.6256, loss_bbox: 3.2732, loss: 10.0019 2023-01-27 15:16:06,935 - mmdet - INFO - Epoch [1][950/3696] lr: 5.694e-05, eta: 10:53:36, time: 0.898, data_time: 0.017, memory: 9290, loss_rpn_cls: 0.0789, loss_rpn_bbox: 0.0261, loss_cls: 6.6128, loss_bbox: 3.2447, loss: 9.9625 2023-01-27 15:16:51,882 - mmdet - INFO - Exp name: selfsup_mask-rcnn_swin-b_simmim.py 2023-01-27 15:16:51,883 - mmdet - INFO - Epoch [1][1000/3696] lr: 5.994e-05, eta: 10:52:41, time: 0.899, data_time: 0.017, memory: 9290, loss_rpn_cls: 0.0771, loss_rpn_bbox: 0.0258, loss_cls: 6.5956, loss_bbox: 3.2350, loss: 9.9334 2023-01-27 15:17:37,355 - mmdet - INFO - Epoch [1][1050/3696] lr: 6.000e-05, eta: 10:52:08, time: 0.909, data_time: 0.017, memory: 9290, loss_rpn_cls: 0.0768, loss_rpn_bbox: 0.0262, loss_cls: 6.5869, loss_bbox: 3.2124, loss: 9.9023 2023-01-27 15:18:21,717 - mmdet - INFO - Epoch [1][1100/3696] lr: 6.000e-05, eta: 10:50:51, time: 0.887, data_time: 0.016, memory: 9290, loss_rpn_cls: 0.0761, loss_rpn_bbox: 0.0258, loss_cls: 6.5714, loss_bbox: 3.1978, loss: 9.8711 2023-01-27 15:19:06,485 - mmdet - INFO - Epoch [1][1150/3696] lr: 6.000e-05, eta: 10:49:51, time: 0.895, data_time: 0.017, memory: 9378, loss_rpn_cls: 0.0747, loss_rpn_bbox: 0.0254, loss_cls: 6.5407, loss_bbox: 3.2100, loss: 9.8509 2023-01-27 15:19:51,945 - mmdet - INFO - Epoch [1][1200/3696] lr: 6.000e-05, eta: 10:49:18, time: 0.909, data_time: 0.017, memory: 9378, loss_rpn_cls: 0.0742, loss_rpn_bbox: 0.0258, loss_cls: 6.5388, loss_bbox: 3.1737, loss: 9.8126 2023-01-27 15:20:37,030 - mmdet - INFO - Epoch [1][1250/3696] lr: 6.000e-05, eta: 10:48:31, time: 0.902, data_time: 0.017, memory: 9529, loss_rpn_cls: 0.0730, loss_rpn_bbox: 0.0253, loss_cls: 6.5154, loss_bbox: 3.1999, loss: 9.8136 2023-01-27 15:21:22,735 - mmdet - INFO - Epoch [1][1300/3696] lr: 6.000e-05, eta: 10:48:05, time: 0.914, data_time: 0.016, memory: 9739, loss_rpn_cls: 0.0728, loss_rpn_bbox: 0.0261, loss_cls: 6.5234, loss_bbox: 3.1568, loss: 9.7791 2023-01-27 15:22:07,600 - mmdet - INFO - Epoch [1][1350/3696] lr: 6.000e-05, eta: 10:47:10, time: 0.897, data_time: 0.017, memory: 9739, loss_rpn_cls: 0.0722, loss_rpn_bbox: 0.0254, loss_cls: 6.4976, loss_bbox: 3.1721, loss: 9.7673 2023-01-27 15:22:52,232 - mmdet - INFO - Epoch [1][1400/3696] lr: 6.000e-05, eta: 10:46:09, time: 0.893, data_time: 0.017, memory: 9739, loss_rpn_cls: 0.0712, loss_rpn_bbox: 0.0255, loss_cls: 6.5027, loss_bbox: 3.1621, loss: 9.7616 2023-01-27 15:23:37,365 - mmdet - INFO - Epoch [1][1450/3696] lr: 6.000e-05, eta: 10:45:24, time: 0.903, data_time: 0.016, memory: 9739, loss_rpn_cls: 0.0716, loss_rpn_bbox: 0.0255, loss_cls: 6.5050, loss_bbox: 3.1596, loss: 9.7618 2023-01-27 15:24:22,364 - mmdet - INFO - Epoch [1][1500/3696] lr: 6.000e-05, eta: 10:44:35, time: 0.900, data_time: 0.017, memory: 9739, loss_rpn_cls: 0.0710, loss_rpn_bbox: 0.0254, loss_cls: 6.4841, loss_bbox: 3.1489, loss: 9.7293 2023-01-27 15:25:07,705 - mmdet - INFO - Epoch [1][1550/3696] lr: 6.000e-05, eta: 10:43:56, time: 0.907, data_time: 0.017, memory: 9739, loss_rpn_cls: 0.0706, loss_rpn_bbox: 0.0256, loss_cls: 6.4770, loss_bbox: 3.1449, loss: 9.7180 2023-01-27 15:25:52,737 - mmdet - INFO - Epoch [1][1600/3696] lr: 6.000e-05, eta: 10:43:08, time: 0.901, data_time: 0.017, memory: 9739, loss_rpn_cls: 0.0696, loss_rpn_bbox: 0.0251, loss_cls: 6.4693, loss_bbox: 3.1397, loss: 9.7037 2023-01-27 15:26:37,875 - mmdet - INFO - Epoch [1][1650/3696] lr: 6.000e-05, eta: 10:42:23, time: 0.903, data_time: 0.017, memory: 9739, loss_rpn_cls: 0.0713, loss_rpn_bbox: 0.0257, loss_cls: 6.4719, loss_bbox: 3.1332, loss: 9.7021 2023-01-27 15:27:22,245 - mmdet - INFO - Epoch [1][1700/3696] lr: 6.000e-05, eta: 10:41:19, time: 0.887, data_time: 0.017, memory: 9739, loss_rpn_cls: 0.0698, loss_rpn_bbox: 0.0252, loss_cls: 6.4505, loss_bbox: 3.1481, loss: 9.6936 2023-01-27 15:28:07,616 - mmdet - INFO - Epoch [1][1750/3696] lr: 6.000e-05, eta: 10:40:40, time: 0.907, data_time: 0.017, memory: 10338, loss_rpn_cls: 0.0692, loss_rpn_bbox: 0.0254, loss_cls: 6.4615, loss_bbox: 3.1245, loss: 9.6805 2023-01-27 15:28:52,584 - mmdet - INFO - Epoch [1][1800/3696] lr: 6.000e-05, eta: 10:39:51, time: 0.899, data_time: 0.017, memory: 10338, loss_rpn_cls: 0.0678, loss_rpn_bbox: 0.0249, loss_cls: 6.4521, loss_bbox: 3.1334, loss: 9.6783 2023-01-27 15:29:37,543 - mmdet - INFO - Epoch [1][1850/3696] lr: 6.000e-05, eta: 10:39:03, time: 0.899, data_time: 0.016, memory: 10338, loss_rpn_cls: 0.0684, loss_rpn_bbox: 0.0254, loss_cls: 6.4584, loss_bbox: 3.1213, loss: 9.6736 2023-01-27 15:30:22,759 - mmdet - INFO - Epoch [1][1900/3696] lr: 6.000e-05, eta: 10:38:20, time: 0.904, data_time: 0.016, memory: 10338, loss_rpn_cls: 0.0679, loss_rpn_bbox: 0.0249, loss_cls: 6.4508, loss_bbox: 3.1194, loss: 9.6631 2023-01-27 15:31:07,788 - mmdet - INFO - Epoch [1][1950/3696] lr: 6.000e-05, eta: 10:37:33, time: 0.901, data_time: 0.016, memory: 10338, loss_rpn_cls: 0.0667, loss_rpn_bbox: 0.0247, loss_cls: 6.4299, loss_bbox: 3.1194, loss: 9.6407 2023-01-27 15:31:52,383 - mmdet - INFO - Exp name: selfsup_mask-rcnn_swin-b_simmim.py 2023-01-27 15:31:52,384 - mmdet - INFO - Epoch [1][2000/3696] lr: 6.000e-05, eta: 10:36:37, time: 0.892, data_time: 0.017, memory: 10338, loss_rpn_cls: 0.0667, loss_rpn_bbox: 0.0245, loss_cls: 6.4169, loss_bbox: 3.1391, loss: 9.6472 2023-01-27 15:32:37,300 - mmdet - INFO - Epoch [1][2050/3696] lr: 6.000e-05, eta: 10:35:48, time: 0.898, data_time: 0.017, memory: 10338, loss_rpn_cls: 0.0678, loss_rpn_bbox: 0.0250, loss_cls: 6.4227, loss_bbox: 3.1196, loss: 9.6351 2023-01-27 15:33:22,865 - mmdet - INFO - Epoch [1][2100/3696] lr: 6.000e-05, eta: 10:35:13, time: 0.911, data_time: 0.017, memory: 10338, loss_rpn_cls: 0.0690, loss_rpn_bbox: 0.0259, loss_cls: 6.4345, loss_bbox: 3.0886, loss: 9.6180 2023-01-27 15:34:08,169 - mmdet - INFO - Epoch [1][2150/3696] lr: 6.000e-05, eta: 10:34:32, time: 0.906, data_time: 0.017, memory: 10338, loss_rpn_cls: 0.0667, loss_rpn_bbox: 0.0251, loss_cls: 6.4227, loss_bbox: 3.1135, loss: 9.6281 2023-01-27 15:34:52,927 - mmdet - INFO - Epoch [1][2200/3696] lr: 6.000e-05, eta: 10:33:40, time: 0.895, data_time: 0.017, memory: 10338, loss_rpn_cls: 0.0659, loss_rpn_bbox: 0.0246, loss_cls: 6.4115, loss_bbox: 3.1073, loss: 9.6093 2023-01-27 15:35:38,016 - mmdet - INFO - Epoch [1][2250/3696] lr: 6.000e-05, eta: 10:32:55, time: 0.902, data_time: 0.017, memory: 10338, loss_rpn_cls: 0.0656, loss_rpn_bbox: 0.0245, loss_cls: 6.4087, loss_bbox: 3.1181, loss: 9.6169 2023-01-27 15:36:22,773 - mmdet - INFO - Epoch [1][2300/3696] lr: 6.000e-05, eta: 10:32:03, time: 0.895, data_time: 0.017, memory: 10338, loss_rpn_cls: 0.0661, loss_rpn_bbox: 0.0246, loss_cls: 6.3970, loss_bbox: 3.1231, loss: 9.6109 2023-01-27 15:37:08,250 - mmdet - INFO - Epoch [1][2350/3696] lr: 6.000e-05, eta: 10:31:25, time: 0.910, data_time: 0.017, memory: 10338, loss_rpn_cls: 0.0666, loss_rpn_bbox: 0.0250, loss_cls: 6.4088, loss_bbox: 3.0959, loss: 9.5963 2023-01-27 15:37:53,738 - mmdet - INFO - Epoch [1][2400/3696] lr: 6.000e-05, eta: 10:30:47, time: 0.910, data_time: 0.017, memory: 10338, loss_rpn_cls: 0.0666, loss_rpn_bbox: 0.0252, loss_cls: 6.4061, loss_bbox: 3.0810, loss: 9.5789 2023-01-27 15:38:38,810 - mmdet - INFO - Epoch [1][2450/3696] lr: 6.000e-05, eta: 10:30:01, time: 0.901, data_time: 0.017, memory: 10338, loss_rpn_cls: 0.0663, loss_rpn_bbox: 0.0249, loss_cls: 6.4047, loss_bbox: 3.1071, loss: 9.6030 2023-01-27 15:39:24,179 - mmdet - INFO - Epoch [1][2500/3696] lr: 6.000e-05, eta: 10:29:20, time: 0.907, data_time: 0.017, memory: 10338, loss_rpn_cls: 0.0658, loss_rpn_bbox: 0.0248, loss_cls: 6.3930, loss_bbox: 3.0946, loss: 9.5782 2023-01-27 15:40:10,072 - mmdet - INFO - Epoch [1][2550/3696] lr: 6.000e-05, eta: 10:28:48, time: 0.918, data_time: 0.016, memory: 10529, loss_rpn_cls: 0.0664, loss_rpn_bbox: 0.0250, loss_cls: 6.3889, loss_bbox: 3.0874, loss: 9.5678 2023-01-27 15:40:55,783 - mmdet - INFO - Epoch [1][2600/3696] lr: 6.000e-05, eta: 10:28:12, time: 0.914, data_time: 0.017, memory: 10529, loss_rpn_cls: 0.0671, loss_rpn_bbox: 0.0254, loss_cls: 6.4033, loss_bbox: 3.0803, loss: 9.5761 2023-01-27 15:41:41,150 - mmdet - INFO - Epoch [1][2650/3696] lr: 6.000e-05, eta: 10:27:31, time: 0.907, data_time: 0.017, memory: 10529, loss_rpn_cls: 0.0651, loss_rpn_bbox: 0.0246, loss_cls: 6.3801, loss_bbox: 3.0991, loss: 9.5690 2023-01-27 15:42:26,257 - mmdet - INFO - Epoch [1][2700/3696] lr: 6.000e-05, eta: 10:26:45, time: 0.902, data_time: 0.017, memory: 10529, loss_rpn_cls: 0.0659, loss_rpn_bbox: 0.0247, loss_cls: 6.3853, loss_bbox: 3.0865, loss: 9.5624 2023-01-27 15:43:11,313 - mmdet - INFO - Epoch [1][2750/3696] lr: 6.000e-05, eta: 10:25:59, time: 0.901, data_time: 0.017, memory: 10529, loss_rpn_cls: 0.0665, loss_rpn_bbox: 0.0253, loss_cls: 6.3971, loss_bbox: 3.0619, loss: 9.5507 2023-01-27 15:43:56,827 - mmdet - INFO - Epoch [1][2800/3696] lr: 6.000e-05, eta: 10:25:19, time: 0.910, data_time: 0.017, memory: 10842, loss_rpn_cls: 0.0662, loss_rpn_bbox: 0.0251, loss_cls: 6.3837, loss_bbox: 3.0716, loss: 9.5467 2023-01-27 15:44:41,754 - mmdet - INFO - Epoch [1][2850/3696] lr: 6.000e-05, eta: 10:24:31, time: 0.899, data_time: 0.017, memory: 10842, loss_rpn_cls: 0.0639, loss_rpn_bbox: 0.0245, loss_cls: 6.3793, loss_bbox: 3.0904, loss: 9.5580 2023-01-27 15:45:27,223 - mmdet - INFO - Epoch [1][2900/3696] lr: 6.000e-05, eta: 10:23:50, time: 0.909, data_time: 0.016, memory: 10842, loss_rpn_cls: 0.0667, loss_rpn_bbox: 0.0257, loss_cls: 6.3933, loss_bbox: 3.0583, loss: 9.5440 2023-01-27 15:46:11,611 - mmdet - INFO - Epoch [1][2950/3696] lr: 6.000e-05, eta: 10:22:54, time: 0.888, data_time: 0.017, memory: 10842, loss_rpn_cls: 0.0642, loss_rpn_bbox: 0.0242, loss_cls: 6.3551, loss_bbox: 3.0874, loss: 9.5310 2023-01-27 15:46:57,259 - mmdet - INFO - Exp name: selfsup_mask-rcnn_swin-b_simmim.py 2023-01-27 15:46:57,259 - mmdet - INFO - Epoch [1][3000/3696] lr: 6.000e-05, eta: 10:22:16, time: 0.913, data_time: 0.017, memory: 10842, loss_rpn_cls: 0.0643, loss_rpn_bbox: 0.0246, loss_cls: 6.3632, loss_bbox: 3.0653, loss: 9.5175 2023-01-27 15:47:43,504 - mmdet - INFO - Epoch [1][3050/3696] lr: 6.000e-05, eta: 10:21:46, time: 0.925, data_time: 0.017, memory: 10842, loss_rpn_cls: 0.0636, loss_rpn_bbox: 0.0246, loss_cls: 6.3533, loss_bbox: 3.0621, loss: 9.5036 2023-01-27 15:48:29,053 - mmdet - INFO - Epoch [1][3100/3696] lr: 6.000e-05, eta: 10:21:06, time: 0.911, data_time: 0.017, memory: 10842, loss_rpn_cls: 0.0655, loss_rpn_bbox: 0.0254, loss_cls: 6.3783, loss_bbox: 3.0625, loss: 9.5317 2023-01-27 15:49:14,196 - mmdet - INFO - Epoch [1][3150/3696] lr: 6.000e-05, eta: 10:20:20, time: 0.903, data_time: 0.017, memory: 10842, loss_rpn_cls: 0.0642, loss_rpn_bbox: 0.0246, loss_cls: 6.3518, loss_bbox: 3.0876, loss: 9.5283 2023-01-27 15:49:59,038 - mmdet - INFO - Epoch [1][3200/3696] lr: 6.000e-05, eta: 10:19:31, time: 0.897, data_time: 0.017, memory: 10842, loss_rpn_cls: 0.0635, loss_rpn_bbox: 0.0244, loss_cls: 6.3435, loss_bbox: 3.0634, loss: 9.4949 2023-01-27 15:50:43,726 - mmdet - INFO - Epoch [1][3250/3696] lr: 6.000e-05, eta: 10:18:40, time: 0.894, data_time: 0.017, memory: 10842, loss_rpn_cls: 0.0628, loss_rpn_bbox: 0.0241, loss_cls: 6.3406, loss_bbox: 3.0790, loss: 9.5064 2023-01-27 15:51:28,912 - mmdet - INFO - Epoch [1][3300/3696] lr: 6.000e-05, eta: 10:17:55, time: 0.904, data_time: 0.017, memory: 10842, loss_rpn_cls: 0.0631, loss_rpn_bbox: 0.0241, loss_cls: 6.3431, loss_bbox: 3.0899, loss: 9.5202 2023-01-27 15:52:14,059 - mmdet - INFO - Epoch [1][3350/3696] lr: 6.000e-05, eta: 10:17:10, time: 0.903, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0639, loss_rpn_bbox: 0.0245, loss_cls: 6.3528, loss_bbox: 3.0633, loss: 9.5045 2023-01-27 15:52:59,086 - mmdet - INFO - Epoch [1][3400/3696] lr: 6.000e-05, eta: 10:16:23, time: 0.901, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0636, loss_rpn_bbox: 0.0245, loss_cls: 6.3401, loss_bbox: 3.0623, loss: 9.4906 2023-01-27 15:53:44,439 - mmdet - INFO - Epoch [1][3450/3696] lr: 6.000e-05, eta: 10:15:40, time: 0.907, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0647, loss_rpn_bbox: 0.0253, loss_cls: 6.3724, loss_bbox: 3.0597, loss: 9.5220 2023-01-27 15:54:29,270 - mmdet - INFO - Epoch [1][3500/3696] lr: 6.000e-05, eta: 10:14:51, time: 0.897, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0628, loss_rpn_bbox: 0.0243, loss_cls: 6.3378, loss_bbox: 3.0829, loss: 9.5079 2023-01-27 15:55:14,750 - mmdet - INFO - Epoch [1][3550/3696] lr: 6.000e-05, eta: 10:14:10, time: 0.910, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0633, loss_rpn_bbox: 0.0244, loss_cls: 6.3390, loss_bbox: 3.0598, loss: 9.4865 2023-01-27 15:56:00,599 - mmdet - INFO - Epoch [1][3600/3696] lr: 6.000e-05, eta: 10:13:32, time: 0.917, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0635, loss_rpn_bbox: 0.0248, loss_cls: 6.3539, loss_bbox: 3.0476, loss: 9.4898 2023-01-27 15:56:47,640 - mmdet - INFO - Epoch [1][3650/3696] lr: 6.000e-05, eta: 10:13:08, time: 0.941, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0642, loss_rpn_bbox: 0.0251, loss_cls: 6.3540, loss_bbox: 3.0452, loss: 9.4885 2023-01-27 15:57:29,742 - mmdet - INFO - Saving checkpoint at 1 epochs 2023-01-27 15:58:21,160 - mmdet - INFO - Epoch [2][50/3696] lr: 6.000e-05, eta: 10:04:45, time: 0.968, data_time: 0.076, memory: 11731, loss_rpn_cls: 0.0633, loss_rpn_bbox: 0.0245, loss_cls: 6.3316, loss_bbox: 3.0573, loss: 9.4767 2023-01-27 15:59:05,869 - mmdet - INFO - Epoch [2][100/3696] lr: 6.000e-05, eta: 10:04:01, time: 0.894, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0236, loss_cls: 6.3181, loss_bbox: 3.0686, loss: 9.4717 2023-01-27 15:59:53,244 - mmdet - INFO - Epoch [2][150/3696] lr: 6.000e-05, eta: 10:03:45, time: 0.947, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0634, loss_rpn_bbox: 0.0249, loss_cls: 6.3563, loss_bbox: 3.0609, loss: 9.5056 2023-01-27 16:00:46,312 - mmdet - INFO - Epoch [2][200/3696] lr: 6.000e-05, eta: 10:04:27, time: 1.062, data_time: 0.016, memory: 11731, loss_rpn_cls: 0.0633, loss_rpn_bbox: 0.0251, loss_cls: 6.3504, loss_bbox: 3.0384, loss: 9.4772 2023-01-27 16:01:38,870 - mmdet - INFO - Epoch [2][250/3696] lr: 6.000e-05, eta: 10:05:01, time: 1.051, data_time: 0.016, memory: 11731, loss_rpn_cls: 0.0632, loss_rpn_bbox: 0.0247, loss_cls: 6.3355, loss_bbox: 3.0422, loss: 9.4656 2023-01-27 16:02:23,679 - mmdet - INFO - Epoch [2][300/3696] lr: 6.000e-05, eta: 10:04:15, time: 0.896, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0625, loss_rpn_bbox: 0.0244, loss_cls: 6.3325, loss_bbox: 3.0594, loss: 9.4787 2023-01-27 16:03:09,119 - mmdet - INFO - Epoch [2][350/3696] lr: 6.000e-05, eta: 10:03:35, time: 0.909, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0634, loss_rpn_bbox: 0.0249, loss_cls: 6.3462, loss_bbox: 3.0379, loss: 9.4724 2023-01-27 16:03:54,434 - mmdet - INFO - Epoch [2][400/3696] lr: 6.000e-05, eta: 10:02:54, time: 0.906, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0636, loss_rpn_bbox: 0.0248, loss_cls: 6.3377, loss_bbox: 3.0391, loss: 9.4652 2023-01-27 16:04:42,806 - mmdet - INFO - Epoch [2][450/3696] lr: 6.000e-05, eta: 10:02:43, time: 0.967, data_time: 0.016, memory: 11731, loss_rpn_cls: 0.0648, loss_rpn_bbox: 0.0255, loss_cls: 6.3542, loss_bbox: 3.0286, loss: 9.4731 2023-01-27 16:05:27,877 - mmdet - INFO - Epoch [2][500/3696] lr: 6.000e-05, eta: 10:01:59, time: 0.901, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0632, loss_rpn_bbox: 0.0246, loss_cls: 6.3273, loss_bbox: 3.0462, loss: 9.4613 2023-01-27 16:06:13,563 - mmdet - INFO - Epoch [2][550/3696] lr: 6.000e-05, eta: 10:01:20, time: 0.914, data_time: 0.017, memory: 11731, loss_rpn_cls: 0.0636, loss_rpn_bbox: 0.0250, loss_cls: 6.3541, loss_bbox: 3.0372, loss: 9.4799 2023-01-27 16:06:59,815 - mmdet - INFO - Epoch [2][600/3696] lr: 6.000e-05, eta: 10:00:47, time: 0.925, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0633, loss_rpn_bbox: 0.0248, loss_cls: 6.3344, loss_bbox: 3.0346, loss: 9.4572 2023-01-27 16:07:44,832 - mmdet - INFO - Epoch [2][650/3696] lr: 6.000e-05, eta: 10:00:02, time: 0.900, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0619, loss_rpn_bbox: 0.0241, loss_cls: 6.3237, loss_bbox: 3.0572, loss: 9.4669 2023-01-27 16:08:30,318 - mmdet - INFO - Epoch [2][700/3696] lr: 6.000e-05, eta: 9:59:22, time: 0.910, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0243, loss_cls: 6.3197, loss_bbox: 3.0454, loss: 9.4513 2023-01-27 16:09:15,294 - mmdet - INFO - Epoch [2][750/3696] lr: 6.000e-05, eta: 9:58:37, time: 0.899, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0619, loss_rpn_bbox: 0.0244, loss_cls: 6.3264, loss_bbox: 3.0538, loss: 9.4665 2023-01-27 16:10:01,222 - mmdet - INFO - Epoch [2][800/3696] lr: 6.000e-05, eta: 9:58:00, time: 0.919, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0625, loss_rpn_bbox: 0.0246, loss_cls: 6.3154, loss_bbox: 3.0327, loss: 9.4352 2023-01-27 16:10:45,935 - mmdet - INFO - Epoch [2][850/3696] lr: 6.000e-05, eta: 9:57:12, time: 0.894, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0244, loss_cls: 6.3232, loss_bbox: 3.0478, loss: 9.4571 2023-01-27 16:11:31,670 - mmdet - INFO - Epoch [2][900/3696] lr: 6.000e-05, eta: 9:56:34, time: 0.915, data_time: 0.018, memory: 11809, loss_rpn_cls: 0.0624, loss_rpn_bbox: 0.0246, loss_cls: 6.3281, loss_bbox: 3.0403, loss: 9.4554 2023-01-27 16:12:17,166 - mmdet - INFO - Epoch [2][950/3696] lr: 6.000e-05, eta: 9:55:53, time: 0.910, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0629, loss_rpn_bbox: 0.0247, loss_cls: 6.3357, loss_bbox: 3.0278, loss: 9.4511 2023-01-27 16:13:02,094 - mmdet - INFO - Epoch [2][1000/3696] lr: 6.000e-05, eta: 9:55:07, time: 0.899, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0619, loss_rpn_bbox: 0.0241, loss_cls: 6.3233, loss_bbox: 3.0514, loss: 9.4607 2023-01-27 16:13:47,893 - mmdet - INFO - Epoch [2][1050/3696] lr: 6.000e-05, eta: 9:54:28, time: 0.916, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0622, loss_rpn_bbox: 0.0246, loss_cls: 6.3289, loss_bbox: 3.0268, loss: 9.4426 2023-01-27 16:14:33,495 - mmdet - INFO - Epoch [2][1100/3696] lr: 6.000e-05, eta: 9:53:48, time: 0.912, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0615, loss_rpn_bbox: 0.0242, loss_cls: 6.3173, loss_bbox: 3.0360, loss: 9.4391 2023-01-27 16:15:19,130 - mmdet - INFO - Epoch [2][1150/3696] lr: 6.000e-05, eta: 9:53:08, time: 0.913, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0615, loss_rpn_bbox: 0.0242, loss_cls: 6.3305, loss_bbox: 3.0353, loss: 9.4514 2023-01-27 16:16:04,006 - mmdet - INFO - Epoch [2][1200/3696] lr: 6.000e-05, eta: 9:52:21, time: 0.898, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0612, loss_rpn_bbox: 0.0239, loss_cls: 6.3080, loss_bbox: 3.0489, loss: 9.4420 2023-01-27 16:16:49,193 - mmdet - INFO - Epoch [2][1250/3696] lr: 6.000e-05, eta: 9:51:38, time: 0.904, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0239, loss_cls: 6.3119, loss_bbox: 3.0453, loss: 9.4424 2023-01-27 16:17:34,324 - mmdet - INFO - Epoch [2][1300/3696] lr: 6.000e-05, eta: 9:50:53, time: 0.903, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0607, loss_rpn_bbox: 0.0242, loss_cls: 6.3278, loss_bbox: 3.0485, loss: 9.4612 2023-01-27 16:18:19,508 - mmdet - INFO - Epoch [2][1350/3696] lr: 6.000e-05, eta: 9:50:09, time: 0.904, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0616, loss_rpn_bbox: 0.0241, loss_cls: 6.3132, loss_bbox: 3.0394, loss: 9.4383 2023-01-27 16:19:04,132 - mmdet - INFO - Epoch [2][1400/3696] lr: 6.000e-05, eta: 9:49:21, time: 0.892, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0608, loss_rpn_bbox: 0.0239, loss_cls: 6.3102, loss_bbox: 3.0437, loss: 9.4386 2023-01-27 16:19:48,636 - mmdet - INFO - Epoch [2][1450/3696] lr: 6.000e-05, eta: 9:48:32, time: 0.890, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0621, loss_rpn_bbox: 0.0244, loss_cls: 6.3314, loss_bbox: 3.0354, loss: 9.4532 2023-01-27 16:20:34,478 - mmdet - INFO - Epoch [2][1500/3696] lr: 6.000e-05, eta: 9:47:53, time: 0.917, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0621, loss_rpn_bbox: 0.0248, loss_cls: 6.3342, loss_bbox: 3.0115, loss: 9.4326 2023-01-27 16:21:20,499 - mmdet - INFO - Epoch [2][1550/3696] lr: 6.000e-05, eta: 9:47:15, time: 0.920, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0625, loss_rpn_bbox: 0.0249, loss_cls: 6.3327, loss_bbox: 3.0147, loss: 9.4348 2023-01-27 16:22:05,816 - mmdet - INFO - Epoch [2][1600/3696] lr: 6.000e-05, eta: 9:46:32, time: 0.906, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0620, loss_rpn_bbox: 0.0247, loss_cls: 6.3247, loss_bbox: 3.0267, loss: 9.4381 2023-01-27 16:22:51,462 - mmdet - INFO - Epoch [2][1650/3696] lr: 6.000e-05, eta: 9:45:51, time: 0.913, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0616, loss_rpn_bbox: 0.0246, loss_cls: 6.3200, loss_bbox: 3.0142, loss: 9.4204 2023-01-27 16:23:37,178 - mmdet - INFO - Epoch [2][1700/3696] lr: 6.000e-05, eta: 9:45:11, time: 0.914, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0626, loss_rpn_bbox: 0.0245, loss_cls: 6.3204, loss_bbox: 3.0191, loss: 9.4266 2023-01-27 16:24:22,823 - mmdet - INFO - Epoch [2][1750/3696] lr: 6.000e-05, eta: 9:44:30, time: 0.913, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0622, loss_rpn_bbox: 0.0245, loss_cls: 6.3232, loss_bbox: 3.0108, loss: 9.4207 2023-01-27 16:25:08,891 - mmdet - INFO - Epoch [2][1800/3696] lr: 6.000e-05, eta: 9:43:52, time: 0.921, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0623, loss_rpn_bbox: 0.0247, loss_cls: 6.3280, loss_bbox: 2.9973, loss: 9.4123 2023-01-27 16:25:53,834 - mmdet - INFO - Epoch [2][1850/3696] lr: 6.000e-05, eta: 9:43:06, time: 0.899, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0240, loss_cls: 6.3071, loss_bbox: 3.0346, loss: 9.4271 2023-01-27 16:26:38,998 - mmdet - INFO - Epoch [2][1900/3696] lr: 6.000e-05, eta: 9:42:22, time: 0.903, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0612, loss_rpn_bbox: 0.0242, loss_cls: 6.3155, loss_bbox: 3.0212, loss: 9.4222 2023-01-27 16:27:24,764 - mmdet - INFO - Epoch [2][1950/3696] lr: 6.000e-05, eta: 9:41:41, time: 0.915, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0619, loss_rpn_bbox: 0.0247, loss_cls: 6.3258, loss_bbox: 3.0179, loss: 9.4302 2023-01-27 16:28:10,852 - mmdet - INFO - Epoch [2][2000/3696] lr: 6.000e-05, eta: 9:41:03, time: 0.922, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0615, loss_rpn_bbox: 0.0244, loss_cls: 6.3116, loss_bbox: 3.0098, loss: 9.4072 2023-01-27 16:28:57,092 - mmdet - INFO - Epoch [2][2050/3696] lr: 6.000e-05, eta: 9:40:25, time: 0.925, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0613, loss_rpn_bbox: 0.0245, loss_cls: 6.3212, loss_bbox: 3.0118, loss: 9.4188 2023-01-27 16:29:42,196 - mmdet - INFO - Epoch [2][2100/3696] lr: 6.000e-05, eta: 9:39:40, time: 0.902, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0608, loss_rpn_bbox: 0.0242, loss_cls: 6.3179, loss_bbox: 3.0296, loss: 9.4324 2023-01-27 16:30:27,655 - mmdet - INFO - Epoch [2][2150/3696] lr: 6.000e-05, eta: 9:38:58, time: 0.909, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0607, loss_rpn_bbox: 0.0243, loss_cls: 6.3076, loss_bbox: 3.0265, loss: 9.4192 2023-01-27 16:31:13,408 - mmdet - INFO - Epoch [2][2200/3696] lr: 6.000e-05, eta: 9:38:17, time: 0.915, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0608, loss_rpn_bbox: 0.0245, loss_cls: 6.3202, loss_bbox: 3.0063, loss: 9.4118 2023-01-27 16:31:58,756 - mmdet - INFO - Epoch [2][2250/3696] lr: 6.000e-05, eta: 9:37:33, time: 0.907, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0620, loss_rpn_bbox: 0.0243, loss_cls: 6.3131, loss_bbox: 3.0233, loss: 9.4227 2023-01-27 16:32:43,708 - mmdet - INFO - Epoch [2][2300/3696] lr: 6.000e-05, eta: 9:36:47, time: 0.899, data_time: 0.017, memory: 11809, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0240, loss_cls: 6.3129, loss_bbox: 3.0380, loss: 9.4347 2023-01-27 16:33:30,362 - mmdet - INFO - Epoch [2][2350/3696] lr: 6.000e-05, eta: 9:36:12, time: 0.933, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0613, loss_rpn_bbox: 0.0246, loss_cls: 6.3227, loss_bbox: 2.9954, loss: 9.4040 2023-01-27 16:34:16,220 - mmdet - INFO - Epoch [2][2400/3696] lr: 6.000e-05, eta: 9:35:31, time: 0.917, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0615, loss_rpn_bbox: 0.0245, loss_cls: 6.3116, loss_bbox: 3.0027, loss: 9.4003 2023-01-27 16:35:01,482 - mmdet - INFO - Epoch [2][2450/3696] lr: 6.000e-05, eta: 9:34:47, time: 0.905, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0602, loss_rpn_bbox: 0.0242, loss_cls: 6.3139, loss_bbox: 3.0233, loss: 9.4216 2023-01-27 16:35:46,278 - mmdet - INFO - Epoch [2][2500/3696] lr: 6.000e-05, eta: 9:34:00, time: 0.896, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0612, loss_rpn_bbox: 0.0242, loss_cls: 6.3109, loss_bbox: 3.0249, loss: 9.4211 2023-01-27 16:36:31,543 - mmdet - INFO - Epoch [2][2550/3696] lr: 6.000e-05, eta: 9:33:15, time: 0.905, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0607, loss_rpn_bbox: 0.0243, loss_cls: 6.3232, loss_bbox: 3.0174, loss: 9.4255 2023-01-27 16:37:17,019 - mmdet - INFO - Epoch [2][2600/3696] lr: 6.000e-05, eta: 9:32:32, time: 0.910, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0608, loss_rpn_bbox: 0.0241, loss_cls: 6.3087, loss_bbox: 3.0259, loss: 9.4195 2023-01-27 16:38:03,492 - mmdet - INFO - Epoch [2][2650/3696] lr: 6.000e-05, eta: 9:31:55, time: 0.929, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0613, loss_rpn_bbox: 0.0245, loss_cls: 6.3119, loss_bbox: 3.0119, loss: 9.4096 2023-01-27 16:38:48,609 - mmdet - INFO - Epoch [2][2700/3696] lr: 6.000e-05, eta: 9:31:10, time: 0.902, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0599, loss_rpn_bbox: 0.0241, loss_cls: 6.3130, loss_bbox: 3.0278, loss: 9.4247 2023-01-27 16:39:34,577 - mmdet - INFO - Epoch [2][2750/3696] lr: 6.000e-05, eta: 9:30:29, time: 0.919, data_time: 0.016, memory: 12156, loss_rpn_cls: 0.0610, loss_rpn_bbox: 0.0247, loss_cls: 6.3269, loss_bbox: 3.0103, loss: 9.4228 2023-01-27 16:40:20,023 - mmdet - INFO - Epoch [2][2800/3696] lr: 6.000e-05, eta: 9:29:46, time: 0.909, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0607, loss_rpn_bbox: 0.0244, loss_cls: 6.3202, loss_bbox: 3.0060, loss: 9.4112 2023-01-27 16:41:04,919 - mmdet - INFO - Epoch [2][2850/3696] lr: 6.000e-05, eta: 9:28:59, time: 0.898, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0242, loss_cls: 6.3129, loss_bbox: 3.0136, loss: 9.4112 2023-01-27 16:41:50,360 - mmdet - INFO - Epoch [2][2900/3696] lr: 6.000e-05, eta: 9:28:16, time: 0.909, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0606, loss_rpn_bbox: 0.0245, loss_cls: 6.3154, loss_bbox: 3.0108, loss: 9.4113 2023-01-27 16:42:35,447 - mmdet - INFO - Epoch [2][2950/3696] lr: 6.000e-05, eta: 9:27:30, time: 0.902, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0602, loss_rpn_bbox: 0.0242, loss_cls: 6.3104, loss_bbox: 3.0164, loss: 9.4112 2023-01-27 16:43:20,906 - mmdet - INFO - Epoch [2][3000/3696] lr: 6.000e-05, eta: 9:26:47, time: 0.909, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0606, loss_rpn_bbox: 0.0243, loss_cls: 6.3090, loss_bbox: 3.0080, loss: 9.4020 2023-01-27 16:44:06,141 - mmdet - INFO - Epoch [2][3050/3696] lr: 6.000e-05, eta: 9:26:02, time: 0.905, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0603, loss_rpn_bbox: 0.0241, loss_cls: 6.3067, loss_bbox: 3.0076, loss: 9.3988 2023-01-27 16:44:51,508 - mmdet - INFO - Epoch [2][3100/3696] lr: 6.000e-05, eta: 9:25:18, time: 0.907, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0609, loss_rpn_bbox: 0.0244, loss_cls: 6.3166, loss_bbox: 3.0063, loss: 9.4081 2023-01-27 16:45:37,214 - mmdet - INFO - Epoch [2][3150/3696] lr: 6.000e-05, eta: 9:24:36, time: 0.914, data_time: 0.016, memory: 12156, loss_rpn_cls: 0.0603, loss_rpn_bbox: 0.0244, loss_cls: 6.3205, loss_bbox: 2.9986, loss: 9.4038 2023-01-27 16:46:22,463 - mmdet - INFO - Epoch [2][3200/3696] lr: 6.000e-05, eta: 9:23:51, time: 0.905, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0238, loss_cls: 6.3054, loss_bbox: 3.0189, loss: 9.4080 2023-01-27 16:47:07,580 - mmdet - INFO - Epoch [2][3250/3696] lr: 6.000e-05, eta: 9:23:06, time: 0.902, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0236, loss_cls: 6.2907, loss_bbox: 3.0279, loss: 9.4013 2023-01-27 16:47:53,209 - mmdet - INFO - Epoch [2][3300/3696] lr: 6.000e-05, eta: 9:22:23, time: 0.913, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0246, loss_cls: 6.3153, loss_bbox: 2.9830, loss: 9.3833 2023-01-27 16:48:38,265 - mmdet - INFO - Epoch [2][3350/3696] lr: 6.000e-05, eta: 9:21:38, time: 0.901, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0602, loss_rpn_bbox: 0.0241, loss_cls: 6.3080, loss_bbox: 3.0057, loss: 9.3980 2023-01-27 16:49:23,869 - mmdet - INFO - Epoch [2][3400/3696] lr: 6.000e-05, eta: 9:20:55, time: 0.912, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0609, loss_rpn_bbox: 0.0244, loss_cls: 6.3129, loss_bbox: 3.0059, loss: 9.4042 2023-01-27 16:50:08,996 - mmdet - INFO - Epoch [2][3450/3696] lr: 6.000e-05, eta: 9:20:09, time: 0.903, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0247, loss_cls: 6.3318, loss_bbox: 3.0136, loss: 9.4315 2023-01-27 16:50:53,888 - mmdet - INFO - Epoch [2][3500/3696] lr: 6.000e-05, eta: 9:19:23, time: 0.898, data_time: 0.018, memory: 12156, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0236, loss_cls: 6.2973, loss_bbox: 3.0286, loss: 9.4086 2023-01-27 16:51:39,051 - mmdet - INFO - Epoch [2][3550/3696] lr: 6.000e-05, eta: 9:18:38, time: 0.903, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0234, loss_cls: 6.2764, loss_bbox: 3.0249, loss: 9.3834 2023-01-27 16:52:24,349 - mmdet - INFO - Epoch [2][3600/3696] lr: 6.000e-05, eta: 9:17:53, time: 0.906, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0599, loss_rpn_bbox: 0.0243, loss_cls: 6.3064, loss_bbox: 2.9838, loss: 9.3744 2023-01-27 16:53:10,372 - mmdet - INFO - Epoch [2][3650/3696] lr: 6.000e-05, eta: 9:17:12, time: 0.920, data_time: 0.017, memory: 12156, loss_rpn_cls: 0.0609, loss_rpn_bbox: 0.0246, loss_cls: 6.3141, loss_bbox: 2.9885, loss: 9.3881 2023-01-27 16:53:51,853 - mmdet - INFO - Saving checkpoint at 2 epochs 2023-01-27 16:54:43,694 - mmdet - INFO - Epoch [3][50/3696] lr: 6.000e-05, eta: 9:12:36, time: 0.970, data_time: 0.075, memory: 12156, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0249, loss_cls: 6.3203, loss_bbox: 2.9831, loss: 9.3901 2023-01-27 16:55:29,036 - mmdet - INFO - Epoch [3][100/3696] lr: 6.000e-05, eta: 9:11:53, time: 0.907, data_time: 0.018, memory: 12156, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0237, loss_cls: 6.2931, loss_bbox: 3.0050, loss: 9.3807 2023-01-27 16:56:14,609 - mmdet - INFO - Epoch [3][150/3696] lr: 6.000e-05, eta: 9:11:11, time: 0.911, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0593, loss_rpn_bbox: 0.0239, loss_cls: 6.3075, loss_bbox: 3.0052, loss: 9.3959 2023-01-27 16:57:00,454 - mmdet - INFO - Epoch [3][200/3696] lr: 6.000e-05, eta: 9:10:31, time: 0.917, data_time: 0.020, memory: 12156, loss_rpn_cls: 0.0593, loss_rpn_bbox: 0.0243, loss_cls: 6.3093, loss_bbox: 3.0055, loss: 9.3983 2023-01-27 16:57:46,078 - mmdet - INFO - Epoch [3][250/3696] lr: 6.000e-05, eta: 9:09:49, time: 0.913, data_time: 0.020, memory: 12156, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0243, loss_cls: 6.3096, loss_bbox: 3.0034, loss: 9.3973 2023-01-27 16:58:32,232 - mmdet - INFO - Epoch [3][300/3696] lr: 6.000e-05, eta: 9:09:10, time: 0.923, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0241, loss_cls: 6.3076, loss_bbox: 2.9961, loss: 9.3874 2023-01-27 16:59:18,407 - mmdet - INFO - Epoch [3][350/3696] lr: 6.000e-05, eta: 9:08:31, time: 0.923, data_time: 0.020, memory: 12156, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0241, loss_cls: 6.3047, loss_bbox: 2.9915, loss: 9.3802 2023-01-27 17:00:05,050 - mmdet - INFO - Epoch [3][400/3696] lr: 6.000e-05, eta: 9:07:54, time: 0.933, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0246, loss_cls: 6.3211, loss_bbox: 2.9672, loss: 9.3733 2023-01-27 17:00:50,113 - mmdet - INFO - Epoch [3][450/3696] lr: 6.000e-05, eta: 9:07:10, time: 0.901, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0240, loss_cls: 6.3020, loss_bbox: 3.0006, loss: 9.3858 2023-01-27 17:01:35,855 - mmdet - INFO - Epoch [3][500/3696] lr: 6.000e-05, eta: 9:06:28, time: 0.915, data_time: 0.018, memory: 12156, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0239, loss_cls: 6.3020, loss_bbox: 3.0102, loss: 9.3951 2023-01-27 17:02:21,666 - mmdet - INFO - Epoch [3][550/3696] lr: 6.000e-05, eta: 9:05:47, time: 0.916, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0243, loss_cls: 6.3149, loss_bbox: 2.9932, loss: 9.3921 2023-01-27 17:03:06,836 - mmdet - INFO - Epoch [3][600/3696] lr: 6.000e-05, eta: 9:05:03, time: 0.903, data_time: 0.018, memory: 12156, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0236, loss_cls: 6.2964, loss_bbox: 3.0025, loss: 9.3809 2023-01-27 17:03:52,371 - mmdet - INFO - Epoch [3][650/3696] lr: 6.000e-05, eta: 9:04:21, time: 0.911, data_time: 0.018, memory: 12156, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0247, loss_cls: 6.3304, loss_bbox: 2.9955, loss: 9.4106 2023-01-27 17:04:37,673 - mmdet - INFO - Epoch [3][700/3696] lr: 6.000e-05, eta: 9:03:37, time: 0.906, data_time: 0.018, memory: 12156, loss_rpn_cls: 0.0594, loss_rpn_bbox: 0.0239, loss_cls: 6.2975, loss_bbox: 3.0208, loss: 9.4015 2023-01-27 17:05:23,037 - mmdet - INFO - Epoch [3][750/3696] lr: 6.000e-05, eta: 9:02:54, time: 0.907, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0235, loss_cls: 6.2867, loss_bbox: 3.0013, loss: 9.3697 2023-01-27 17:06:08,874 - mmdet - INFO - Epoch [3][800/3696] lr: 6.000e-05, eta: 9:02:13, time: 0.917, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0593, loss_rpn_bbox: 0.0242, loss_cls: 6.2990, loss_bbox: 2.9777, loss: 9.3602 2023-01-27 17:06:54,312 - mmdet - INFO - Epoch [3][850/3696] lr: 6.000e-05, eta: 9:01:30, time: 0.909, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0235, loss_cls: 6.2856, loss_bbox: 3.0047, loss: 9.3729 2023-01-27 17:07:39,842 - mmdet - INFO - Epoch [3][900/3696] lr: 6.000e-05, eta: 9:00:47, time: 0.911, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0243, loss_cls: 6.3019, loss_bbox: 3.0035, loss: 9.3888 2023-01-27 17:08:25,597 - mmdet - INFO - Epoch [3][950/3696] lr: 6.000e-05, eta: 9:00:05, time: 0.915, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0244, loss_cls: 6.3096, loss_bbox: 2.9920, loss: 9.3855 2023-01-27 17:09:11,197 - mmdet - INFO - Epoch [3][1000/3696] lr: 6.000e-05, eta: 8:59:23, time: 0.912, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0242, loss_cls: 6.3020, loss_bbox: 2.9904, loss: 9.3766 2023-01-27 17:09:56,848 - mmdet - INFO - Epoch [3][1050/3696] lr: 6.000e-05, eta: 8:58:41, time: 0.913, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0240, loss_cls: 6.3014, loss_bbox: 2.9931, loss: 9.3777 2023-01-27 17:10:42,500 - mmdet - INFO - Epoch [3][1100/3696] lr: 6.000e-05, eta: 8:57:58, time: 0.913, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0601, loss_rpn_bbox: 0.0242, loss_cls: 6.3042, loss_bbox: 2.9925, loss: 9.3809 2023-01-27 17:11:28,246 - mmdet - INFO - Epoch [3][1150/3696] lr: 6.000e-05, eta: 8:57:17, time: 0.915, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0603, loss_rpn_bbox: 0.0245, loss_cls: 6.3143, loss_bbox: 2.9880, loss: 9.3871 2023-01-27 17:12:13,718 - mmdet - INFO - Epoch [3][1200/3696] lr: 6.000e-05, eta: 8:56:33, time: 0.909, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0238, loss_cls: 6.3030, loss_bbox: 3.0008, loss: 9.3859 2023-01-27 17:12:59,423 - mmdet - INFO - Epoch [3][1250/3696] lr: 6.000e-05, eta: 8:55:51, time: 0.914, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0240, loss_cls: 6.3011, loss_bbox: 3.0054, loss: 9.3895 2023-01-27 17:13:44,756 - mmdet - INFO - Epoch [3][1300/3696] lr: 6.000e-05, eta: 8:55:08, time: 0.907, data_time: 0.019, memory: 12156, loss_rpn_cls: 0.0594, loss_rpn_bbox: 0.0242, loss_cls: 6.3048, loss_bbox: 2.9835, loss: 9.3719 2023-01-27 17:14:30,945 - mmdet - INFO - Epoch [3][1350/3696] lr: 6.000e-05, eta: 8:54:27, time: 0.924, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0601, loss_rpn_bbox: 0.0246, loss_cls: 6.3143, loss_bbox: 2.9790, loss: 9.3780 2023-01-27 17:15:16,412 - mmdet - INFO - Epoch [3][1400/3696] lr: 6.000e-05, eta: 8:53:44, time: 0.909, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0244, loss_cls: 6.3159, loss_bbox: 2.9874, loss: 9.3878 2023-01-27 17:16:01,919 - mmdet - INFO - Epoch [3][1450/3696] lr: 6.000e-05, eta: 8:53:01, time: 0.910, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0593, loss_rpn_bbox: 0.0243, loss_cls: 6.3129, loss_bbox: 2.9757, loss: 9.3722 2023-01-27 17:16:47,315 - mmdet - INFO - Epoch [3][1500/3696] lr: 6.000e-05, eta: 8:52:17, time: 0.908, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0243, loss_cls: 6.3161, loss_bbox: 2.9841, loss: 9.3837 2023-01-27 17:17:32,720 - mmdet - INFO - Epoch [3][1550/3696] lr: 6.000e-05, eta: 8:51:34, time: 0.908, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0237, loss_cls: 6.2901, loss_bbox: 2.9791, loss: 9.3511 2023-01-27 17:18:18,551 - mmdet - INFO - Epoch [3][1600/3696] lr: 6.000e-05, eta: 8:50:52, time: 0.917, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0240, loss_cls: 6.3126, loss_bbox: 2.9986, loss: 9.3938 2023-01-27 17:19:04,862 - mmdet - INFO - Epoch [3][1650/3696] lr: 6.000e-05, eta: 8:50:12, time: 0.926, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0241, loss_cls: 6.2986, loss_bbox: 2.9660, loss: 9.3482 2023-01-27 17:19:50,068 - mmdet - INFO - Epoch [3][1700/3696] lr: 6.000e-05, eta: 8:49:27, time: 0.904, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0594, loss_rpn_bbox: 0.0245, loss_cls: 6.3149, loss_bbox: 2.9704, loss: 9.3691 2023-01-27 17:20:35,420 - mmdet - INFO - Epoch [3][1750/3696] lr: 6.000e-05, eta: 8:48:43, time: 0.907, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0240, loss_cls: 6.3039, loss_bbox: 2.9922, loss: 9.3796 2023-01-27 17:21:20,638 - mmdet - INFO - Epoch [3][1800/3696] lr: 6.000e-05, eta: 8:47:59, time: 0.904, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0236, loss_cls: 6.2933, loss_bbox: 3.0020, loss: 9.3768 2023-01-27 17:22:05,957 - mmdet - INFO - Epoch [3][1850/3696] lr: 6.000e-05, eta: 8:47:15, time: 0.906, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0237, loss_cls: 6.2959, loss_bbox: 2.9919, loss: 9.3700 2023-01-27 17:22:51,555 - mmdet - INFO - Epoch [3][1900/3696] lr: 6.000e-05, eta: 8:46:32, time: 0.912, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0241, loss_cls: 6.3014, loss_bbox: 2.9809, loss: 9.3654 2023-01-27 17:23:36,619 - mmdet - INFO - Epoch [3][1950/3696] lr: 6.000e-05, eta: 8:45:47, time: 0.901, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0236, loss_cls: 6.2980, loss_bbox: 2.9973, loss: 9.3764 2023-01-27 17:24:22,695 - mmdet - INFO - Epoch [3][2000/3696] lr: 6.000e-05, eta: 8:45:06, time: 0.922, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0244, loss_cls: 6.3044, loss_bbox: 2.9721, loss: 9.3604 2023-01-27 17:25:07,862 - mmdet - INFO - Epoch [3][2050/3696] lr: 6.000e-05, eta: 8:44:21, time: 0.903, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0234, loss_cls: 6.2783, loss_bbox: 2.9930, loss: 9.3528 2023-01-27 17:25:54,043 - mmdet - INFO - Epoch [3][2100/3696] lr: 6.000e-05, eta: 8:43:40, time: 0.924, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0597, loss_rpn_bbox: 0.0248, loss_cls: 6.3218, loss_bbox: 2.9694, loss: 9.3757 2023-01-27 17:26:40,390 - mmdet - INFO - Epoch [3][2150/3696] lr: 6.000e-05, eta: 8:43:00, time: 0.927, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0244, loss_cls: 6.3020, loss_bbox: 2.9625, loss: 9.3476 2023-01-27 17:27:26,386 - mmdet - INFO - Epoch [3][2200/3696] lr: 6.000e-05, eta: 8:42:18, time: 0.920, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0242, loss_cls: 6.3024, loss_bbox: 2.9735, loss: 9.3584 2023-01-27 17:28:12,175 - mmdet - INFO - Epoch [3][2250/3696] lr: 6.000e-05, eta: 8:41:36, time: 0.916, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0594, loss_rpn_bbox: 0.0242, loss_cls: 6.3034, loss_bbox: 2.9744, loss: 9.3615 2023-01-27 17:28:58,052 - mmdet - INFO - Epoch [3][2300/3696] lr: 6.000e-05, eta: 8:40:53, time: 0.918, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0240, loss_cls: 6.2911, loss_bbox: 2.9769, loss: 9.3503 2023-01-27 17:29:43,853 - mmdet - INFO - Epoch [3][2350/3696] lr: 6.000e-05, eta: 8:40:11, time: 0.916, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0239, loss_cls: 6.2924, loss_bbox: 2.9841, loss: 9.3587 2023-01-27 17:30:29,108 - mmdet - INFO - Epoch [3][2400/3696] lr: 6.000e-05, eta: 8:39:26, time: 0.905, data_time: 0.020, memory: 12324, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0238, loss_cls: 6.2892, loss_bbox: 2.9790, loss: 9.3502 2023-01-27 17:31:15,158 - mmdet - INFO - Epoch [3][2450/3696] lr: 6.000e-05, eta: 8:38:44, time: 0.921, data_time: 0.019, memory: 12324, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0240, loss_cls: 6.2912, loss_bbox: 2.9712, loss: 9.3454 2023-01-27 17:31:59,897 - mmdet - INFO - Epoch [3][2500/3696] lr: 6.000e-05, eta: 8:37:58, time: 0.895, data_time: 0.020, memory: 12324, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0235, loss_cls: 6.2869, loss_bbox: 3.0013, loss: 9.3690 2023-01-27 17:32:45,596 - mmdet - INFO - Epoch [3][2550/3696] lr: 6.000e-05, eta: 8:37:15, time: 0.914, data_time: 0.019, memory: 12538, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0240, loss_cls: 6.2961, loss_bbox: 2.9797, loss: 9.3580 2023-01-27 17:33:31,564 - mmdet - INFO - Epoch [3][2600/3696] lr: 6.000e-05, eta: 8:36:33, time: 0.919, data_time: 0.019, memory: 12538, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0241, loss_cls: 6.2979, loss_bbox: 2.9748, loss: 9.3560 2023-01-27 17:34:16,556 - mmdet - INFO - Epoch [3][2650/3696] lr: 6.000e-05, eta: 8:35:48, time: 0.900, data_time: 0.019, memory: 12538, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0234, loss_cls: 6.2885, loss_bbox: 2.9853, loss: 9.3544 2023-01-27 17:35:01,775 - mmdet - INFO - Epoch [3][2700/3696] lr: 6.000e-05, eta: 8:35:03, time: 0.904, data_time: 0.019, memory: 12538, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0236, loss_cls: 6.2975, loss_bbox: 2.9964, loss: 9.3750 2023-01-27 17:35:47,491 - mmdet - INFO - Epoch [3][2750/3696] lr: 6.000e-05, eta: 8:34:20, time: 0.914, data_time: 0.019, memory: 12538, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0236, loss_cls: 6.2905, loss_bbox: 2.9772, loss: 9.3491 2023-01-27 17:36:33,323 - mmdet - INFO - Epoch [3][2800/3696] lr: 6.000e-05, eta: 8:33:37, time: 0.917, data_time: 0.019, memory: 12538, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0244, loss_cls: 6.3099, loss_bbox: 2.9801, loss: 9.3735 2023-01-27 17:37:18,864 - mmdet - INFO - Epoch [3][2850/3696] lr: 6.000e-05, eta: 8:32:54, time: 0.911, data_time: 0.019, memory: 12538, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0238, loss_cls: 6.2970, loss_bbox: 2.9765, loss: 9.3550 2023-01-27 17:38:04,311 - mmdet - INFO - Epoch [3][2900/3696] lr: 6.000e-05, eta: 8:32:10, time: 0.909, data_time: 0.019, memory: 12538, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0238, loss_cls: 6.2879, loss_bbox: 2.9877, loss: 9.3575 2023-01-27 17:38:50,450 - mmdet - INFO - Epoch [3][2950/3696] lr: 6.000e-05, eta: 8:31:28, time: 0.923, data_time: 0.019, memory: 12538, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0243, loss_cls: 6.3074, loss_bbox: 2.9604, loss: 9.3506 2023-01-27 17:39:36,227 - mmdet - INFO - Epoch [3][3000/3696] lr: 6.000e-05, eta: 8:30:45, time: 0.916, data_time: 0.019, memory: 12538, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0239, loss_cls: 6.2995, loss_bbox: 2.9760, loss: 9.3569 2023-01-27 17:40:21,940 - mmdet - INFO - Epoch [3][3050/3696] lr: 6.000e-05, eta: 8:30:02, time: 0.914, data_time: 0.020, memory: 13079, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0241, loss_cls: 6.3003, loss_bbox: 2.9703, loss: 9.3525 2023-01-27 17:41:08,466 - mmdet - INFO - Epoch [3][3100/3696] lr: 6.000e-05, eta: 8:29:21, time: 0.931, data_time: 0.020, memory: 13079, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0244, loss_cls: 6.3055, loss_bbox: 2.9718, loss: 9.3604 2023-01-27 17:41:55,080 - mmdet - INFO - Epoch [3][3150/3696] lr: 6.000e-05, eta: 8:28:41, time: 0.932, data_time: 0.020, memory: 13079, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0242, loss_cls: 6.3068, loss_bbox: 2.9499, loss: 9.3399 2023-01-27 17:42:40,868 - mmdet - INFO - Epoch [3][3200/3696] lr: 6.000e-05, eta: 8:27:58, time: 0.916, data_time: 0.020, memory: 13079, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0240, loss_cls: 6.2951, loss_bbox: 2.9725, loss: 9.3500 2023-01-27 17:43:26,617 - mmdet - INFO - Epoch [3][3250/3696] lr: 6.000e-05, eta: 8:27:14, time: 0.915, data_time: 0.020, memory: 13079, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0243, loss_cls: 6.3017, loss_bbox: 2.9656, loss: 9.3503 2023-01-27 17:44:12,891 - mmdet - INFO - Epoch [3][3300/3696] lr: 6.000e-05, eta: 8:26:33, time: 0.925, data_time: 0.020, memory: 13079, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0238, loss_cls: 6.2879, loss_bbox: 2.9601, loss: 9.3294 2023-01-27 17:44:59,000 - mmdet - INFO - Epoch [3][3350/3696] lr: 6.000e-05, eta: 8:25:51, time: 0.922, data_time: 0.020, memory: 13079, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0241, loss_cls: 6.2976, loss_bbox: 2.9658, loss: 9.3452 2023-01-27 17:45:44,803 - mmdet - INFO - Epoch [3][3400/3696] lr: 6.000e-05, eta: 8:25:08, time: 0.916, data_time: 0.020, memory: 13079, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0239, loss_cls: 6.2964, loss_bbox: 2.9622, loss: 9.3399 2023-01-27 17:46:31,306 - mmdet - INFO - Epoch [3][3450/3696] lr: 6.000e-05, eta: 8:24:27, time: 0.930, data_time: 0.020, memory: 13079, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0241, loss_cls: 6.3016, loss_bbox: 2.9656, loss: 9.3499 2023-01-27 17:47:17,495 - mmdet - INFO - Epoch [3][3500/3696] lr: 6.000e-05, eta: 8:23:45, time: 0.924, data_time: 0.020, memory: 13079, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0241, loss_cls: 6.3079, loss_bbox: 2.9664, loss: 9.3565 2023-01-27 17:48:02,953 - mmdet - INFO - Epoch [3][3550/3696] lr: 6.000e-05, eta: 8:23:00, time: 0.909, data_time: 0.019, memory: 13079, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0235, loss_cls: 6.2816, loss_bbox: 2.9835, loss: 9.3455 2023-01-27 17:48:48,761 - mmdet - INFO - Epoch [3][3600/3696] lr: 6.000e-05, eta: 8:22:17, time: 0.916, data_time: 0.020, memory: 13079, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0238, loss_cls: 6.2922, loss_bbox: 2.9742, loss: 9.3470 2023-01-27 17:49:34,963 - mmdet - INFO - Epoch [3][3650/3696] lr: 6.000e-05, eta: 8:21:35, time: 0.924, data_time: 0.020, memory: 13079, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0241, loss_cls: 6.3052, loss_bbox: 2.9676, loss: 9.3550 2023-01-27 17:50:17,469 - mmdet - INFO - Saving checkpoint at 3 epochs 2023-01-27 17:51:08,587 - mmdet - INFO - Epoch [4][50/3696] lr: 6.000e-05, eta: 8:18:12, time: 0.958, data_time: 0.074, memory: 13079, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0240, loss_cls: 6.2976, loss_bbox: 2.9634, loss: 9.3424 2023-01-27 17:51:54,643 - mmdet - INFO - Epoch [4][100/3696] lr: 6.000e-05, eta: 8:17:31, time: 0.921, data_time: 0.019, memory: 13079, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0241, loss_cls: 6.2988, loss_bbox: 2.9595, loss: 9.3406 2023-01-27 17:52:40,326 - mmdet - INFO - Epoch [4][150/3696] lr: 6.000e-05, eta: 8:16:48, time: 0.914, data_time: 0.019, memory: 13079, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0244, loss_cls: 6.3045, loss_bbox: 2.9591, loss: 9.3465 2023-01-27 17:53:26,120 - mmdet - INFO - Epoch [4][200/3696] lr: 6.000e-05, eta: 8:16:05, time: 0.916, data_time: 0.019, memory: 13079, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0235, loss_cls: 6.2797, loss_bbox: 2.9761, loss: 9.3361 2023-01-27 17:54:11,401 - mmdet - INFO - Epoch [4][250/3696] lr: 6.000e-05, eta: 8:15:21, time: 0.906, data_time: 0.019, memory: 13079, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0239, loss_cls: 6.2872, loss_bbox: 2.9703, loss: 9.3396 2023-01-27 17:54:57,656 - mmdet - INFO - Epoch [4][300/3696] lr: 6.000e-05, eta: 8:14:39, time: 0.925, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0237, loss_cls: 6.2913, loss_bbox: 2.9663, loss: 9.3383 2023-01-27 17:55:43,265 - mmdet - INFO - Epoch [4][350/3696] lr: 6.000e-05, eta: 8:13:56, time: 0.912, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0236, loss_cls: 6.2879, loss_bbox: 2.9691, loss: 9.3383 2023-01-27 17:56:29,423 - mmdet - INFO - Epoch [4][400/3696] lr: 6.000e-05, eta: 8:13:14, time: 0.923, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0240, loss_cls: 6.2954, loss_bbox: 2.9492, loss: 9.3262 2023-01-27 17:57:14,760 - mmdet - INFO - Epoch [4][450/3696] lr: 6.000e-05, eta: 8:12:30, time: 0.907, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0237, loss_cls: 6.2870, loss_bbox: 2.9617, loss: 9.3291 2023-01-27 17:58:00,675 - mmdet - INFO - Epoch [4][500/3696] lr: 6.000e-05, eta: 8:11:48, time: 0.918, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0242, loss_cls: 6.2995, loss_bbox: 2.9605, loss: 9.3419 2023-01-27 17:58:45,770 - mmdet - INFO - Epoch [4][550/3696] lr: 6.000e-05, eta: 8:11:03, time: 0.902, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0237, loss_cls: 6.2959, loss_bbox: 2.9699, loss: 9.3463 2023-01-27 17:59:32,279 - mmdet - INFO - Epoch [4][600/3696] lr: 6.000e-05, eta: 8:10:22, time: 0.930, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0238, loss_cls: 6.2894, loss_bbox: 2.9567, loss: 9.3271 2023-01-27 18:00:18,436 - mmdet - INFO - Epoch [4][650/3696] lr: 6.000e-05, eta: 8:09:40, time: 0.923, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0240, loss_cls: 6.3057, loss_bbox: 2.9578, loss: 9.3445 2023-01-27 18:01:03,839 - mmdet - INFO - Epoch [4][700/3696] lr: 6.000e-05, eta: 8:08:56, time: 0.908, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0241, loss_cls: 6.2984, loss_bbox: 2.9597, loss: 9.3405 2023-01-27 18:01:49,422 - mmdet - INFO - Epoch [4][750/3696] lr: 6.000e-05, eta: 8:08:12, time: 0.912, data_time: 0.020, memory: 13920, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0239, loss_cls: 6.2898, loss_bbox: 2.9566, loss: 9.3274 2023-01-27 18:02:35,278 - mmdet - INFO - Epoch [4][800/3696] lr: 6.000e-05, eta: 8:07:29, time: 0.917, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0240, loss_cls: 6.2954, loss_bbox: 2.9557, loss: 9.3323 2023-01-27 18:03:23,720 - mmdet - INFO - Epoch [4][850/3696] lr: 6.000e-05, eta: 8:06:54, time: 0.969, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0240, loss_cls: 6.2950, loss_bbox: 2.9454, loss: 9.3222 2023-01-27 18:04:09,405 - mmdet - INFO - Epoch [4][900/3696] lr: 6.000e-05, eta: 8:06:10, time: 0.914, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0240, loss_cls: 6.2992, loss_bbox: 2.9553, loss: 9.3359 2023-01-27 18:04:57,050 - mmdet - INFO - Epoch [4][950/3696] lr: 6.000e-05, eta: 8:05:32, time: 0.953, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0235, loss_cls: 6.2793, loss_bbox: 2.9639, loss: 9.3238 2023-01-27 18:05:42,517 - mmdet - INFO - Epoch [4][1000/3696] lr: 6.000e-05, eta: 8:04:48, time: 0.909, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0238, loss_cls: 6.2852, loss_bbox: 2.9530, loss: 9.3190 2023-01-27 18:06:30,793 - mmdet - INFO - Epoch [4][1050/3696] lr: 6.000e-05, eta: 8:04:11, time: 0.966, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0244, loss_cls: 6.3042, loss_bbox: 2.9539, loss: 9.3409 2023-01-27 18:07:20,356 - mmdet - INFO - Epoch [4][1100/3696] lr: 6.000e-05, eta: 8:03:38, time: 0.991, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0235, loss_cls: 6.2829, loss_bbox: 2.9775, loss: 9.3406 2023-01-27 18:08:06,825 - mmdet - INFO - Epoch [4][1150/3696] lr: 6.000e-05, eta: 8:02:57, time: 0.929, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0242, loss_cls: 6.2930, loss_bbox: 2.9459, loss: 9.3206 2023-01-27 18:08:56,802 - mmdet - INFO - Epoch [4][1200/3696] lr: 6.000e-05, eta: 8:02:24, time: 1.000, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0239, loss_cls: 6.2964, loss_bbox: 2.9671, loss: 9.3446 2023-01-27 18:09:44,311 - mmdet - INFO - Epoch [4][1250/3696] lr: 6.000e-05, eta: 8:01:45, time: 0.950, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0237, loss_cls: 6.2917, loss_bbox: 2.9528, loss: 9.3253 2023-01-27 18:10:30,011 - mmdet - INFO - Epoch [4][1300/3696] lr: 6.000e-05, eta: 8:01:01, time: 0.914, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0239, loss_cls: 6.3001, loss_bbox: 2.9530, loss: 9.3345 2023-01-27 18:11:15,727 - mmdet - INFO - Epoch [4][1350/3696] lr: 6.000e-05, eta: 8:00:18, time: 0.914, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0239, loss_cls: 6.2999, loss_bbox: 2.9555, loss: 9.3361 2023-01-27 18:12:01,484 - mmdet - INFO - Epoch [4][1400/3696] lr: 6.000e-05, eta: 7:59:34, time: 0.915, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0236, loss_cls: 6.2829, loss_bbox: 2.9571, loss: 9.3211 2023-01-27 18:12:47,995 - mmdet - INFO - Epoch [4][1450/3696] lr: 6.000e-05, eta: 7:58:52, time: 0.930, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0244, loss_cls: 6.3058, loss_bbox: 2.9336, loss: 9.3219 2023-01-27 18:13:33,823 - mmdet - INFO - Epoch [4][1500/3696] lr: 6.000e-05, eta: 7:58:09, time: 0.917, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0243, loss_cls: 6.3009, loss_bbox: 2.9550, loss: 9.3382 2023-01-27 18:14:19,432 - mmdet - INFO - Epoch [4][1550/3696] lr: 6.000e-05, eta: 7:57:25, time: 0.912, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0238, loss_cls: 6.2896, loss_bbox: 2.9535, loss: 9.3244 2023-01-27 18:15:05,705 - mmdet - INFO - Epoch [4][1600/3696] lr: 6.000e-05, eta: 7:56:43, time: 0.925, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0235, loss_cls: 6.2838, loss_bbox: 2.9547, loss: 9.3192 2023-01-27 18:15:51,361 - mmdet - INFO - Epoch [4][1650/3696] lr: 6.000e-05, eta: 7:55:59, time: 0.913, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0240, loss_cls: 6.3006, loss_bbox: 2.9475, loss: 9.3292 2023-01-27 18:16:36,624 - mmdet - INFO - Epoch [4][1700/3696] lr: 6.000e-05, eta: 7:55:14, time: 0.905, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0235, loss_cls: 6.2885, loss_bbox: 2.9716, loss: 9.3404 2023-01-27 18:17:22,846 - mmdet - INFO - Epoch [4][1750/3696] lr: 6.000e-05, eta: 7:54:31, time: 0.924, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0241, loss_cls: 6.2987, loss_bbox: 2.9317, loss: 9.3125 2023-01-27 18:18:08,725 - mmdet - INFO - Epoch [4][1800/3696] lr: 6.000e-05, eta: 7:53:48, time: 0.918, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0235, loss_cls: 6.2867, loss_bbox: 2.9654, loss: 9.3322 2023-01-27 18:18:54,501 - mmdet - INFO - Epoch [4][1850/3696] lr: 6.000e-05, eta: 7:53:04, time: 0.916, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0241, loss_cls: 6.3008, loss_bbox: 2.9482, loss: 9.3308 2023-01-27 18:19:40,668 - mmdet - INFO - Epoch [4][1900/3696] lr: 6.000e-05, eta: 7:52:21, time: 0.923, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0243, loss_cls: 6.3049, loss_bbox: 2.9357, loss: 9.3222 2023-01-27 18:20:26,243 - mmdet - INFO - Epoch [4][1950/3696] lr: 6.000e-05, eta: 7:51:37, time: 0.912, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0235, loss_cls: 6.2868, loss_bbox: 2.9590, loss: 9.3257 2023-01-27 18:21:12,015 - mmdet - INFO - Epoch [4][2000/3696] lr: 6.000e-05, eta: 7:50:53, time: 0.915, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0242, loss_cls: 6.2965, loss_bbox: 2.9481, loss: 9.3265 2023-01-27 18:21:57,534 - mmdet - INFO - Epoch [4][2050/3696] lr: 6.000e-05, eta: 7:50:09, time: 0.910, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0240, loss_cls: 6.2983, loss_bbox: 2.9537, loss: 9.3332 2023-01-27 18:22:43,740 - mmdet - INFO - Epoch [4][2100/3696] lr: 6.000e-05, eta: 7:49:26, time: 0.924, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0242, loss_cls: 6.2951, loss_bbox: 2.9298, loss: 9.3063 2023-01-27 18:23:29,727 - mmdet - INFO - Epoch [4][2150/3696] lr: 6.000e-05, eta: 7:48:43, time: 0.920, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0237, loss_cls: 6.2864, loss_bbox: 2.9484, loss: 9.3149 2023-01-27 18:24:15,408 - mmdet - INFO - Epoch [4][2200/3696] lr: 6.000e-05, eta: 7:47:59, time: 0.914, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0237, loss_cls: 6.2916, loss_bbox: 2.9397, loss: 9.3119 2023-01-27 18:25:00,524 - mmdet - INFO - Epoch [4][2250/3696] lr: 6.000e-05, eta: 7:47:13, time: 0.902, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0233, loss_cls: 6.2738, loss_bbox: 2.9531, loss: 9.3068 2023-01-27 18:25:46,571 - mmdet - INFO - Epoch [4][2300/3696] lr: 6.000e-05, eta: 7:46:30, time: 0.921, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0238, loss_cls: 6.2943, loss_bbox: 2.9489, loss: 9.3236 2023-01-27 18:26:32,503 - mmdet - INFO - Epoch [4][2350/3696] lr: 6.000e-05, eta: 7:45:46, time: 0.919, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0245, loss_cls: 6.2952, loss_bbox: 2.9404, loss: 9.3181 2023-01-27 18:27:18,642 - mmdet - INFO - Epoch [4][2400/3696] lr: 6.000e-05, eta: 7:45:03, time: 0.923, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0243, loss_cls: 6.2955, loss_bbox: 2.9397, loss: 9.3170 2023-01-27 18:28:04,455 - mmdet - INFO - Epoch [4][2450/3696] lr: 6.000e-05, eta: 7:44:20, time: 0.916, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0236, loss_cls: 6.2819, loss_bbox: 2.9517, loss: 9.3138 2023-01-27 18:28:50,271 - mmdet - INFO - Epoch [4][2500/3696] lr: 6.000e-05, eta: 7:43:36, time: 0.916, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0242, loss_cls: 6.3007, loss_bbox: 2.9390, loss: 9.3208 2023-01-27 18:29:36,579 - mmdet - INFO - Epoch [4][2550/3696] lr: 6.000e-05, eta: 7:42:53, time: 0.926, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0238, loss_cls: 6.2952, loss_bbox: 2.9411, loss: 9.3170 2023-01-27 18:30:22,320 - mmdet - INFO - Epoch [4][2600/3696] lr: 6.000e-05, eta: 7:42:09, time: 0.915, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0238, loss_cls: 6.2948, loss_bbox: 2.9433, loss: 9.3184 2023-01-27 18:31:08,242 - mmdet - INFO - Epoch [4][2650/3696] lr: 6.000e-05, eta: 7:41:25, time: 0.919, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0241, loss_cls: 6.2993, loss_bbox: 2.9434, loss: 9.3236 2023-01-27 18:31:54,590 - mmdet - INFO - Epoch [4][2700/3696] lr: 6.000e-05, eta: 7:40:43, time: 0.927, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0240, loss_cls: 6.3042, loss_bbox: 2.9343, loss: 9.3189 2023-01-27 18:32:40,797 - mmdet - INFO - Epoch [4][2750/3696] lr: 6.000e-05, eta: 7:40:00, time: 0.924, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0240, loss_cls: 6.2999, loss_bbox: 2.9525, loss: 9.3333 2023-01-27 18:33:27,271 - mmdet - INFO - Epoch [4][2800/3696] lr: 6.000e-05, eta: 7:39:17, time: 0.929, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0243, loss_cls: 6.2958, loss_bbox: 2.9179, loss: 9.2953 2023-01-27 18:34:12,874 - mmdet - INFO - Epoch [4][2850/3696] lr: 6.000e-05, eta: 7:38:33, time: 0.912, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0237, loss_cls: 6.2966, loss_bbox: 2.9505, loss: 9.3270 2023-01-27 18:34:58,766 - mmdet - INFO - Epoch [4][2900/3696] lr: 6.000e-05, eta: 7:37:49, time: 0.918, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0241, loss_cls: 6.2893, loss_bbox: 2.9342, loss: 9.3042 2023-01-27 18:35:44,036 - mmdet - INFO - Epoch [4][2950/3696] lr: 6.000e-05, eta: 7:37:04, time: 0.905, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0236, loss_cls: 6.2793, loss_bbox: 2.9504, loss: 9.3099 2023-01-27 18:36:29,682 - mmdet - INFO - Epoch [4][3000/3696] lr: 6.000e-05, eta: 7:36:19, time: 0.913, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0236, loss_cls: 6.2813, loss_bbox: 2.9435, loss: 9.3049 2023-01-27 18:37:15,880 - mmdet - INFO - Epoch [4][3050/3696] lr: 6.000e-05, eta: 7:35:36, time: 0.924, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0562, loss_rpn_bbox: 0.0239, loss_cls: 6.2959, loss_bbox: 2.9443, loss: 9.3203 2023-01-27 18:38:02,010 - mmdet - INFO - Epoch [4][3100/3696] lr: 6.000e-05, eta: 7:34:53, time: 0.923, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0241, loss_cls: 6.2887, loss_bbox: 2.9372, loss: 9.3070 2023-01-27 18:38:47,459 - mmdet - INFO - Epoch [4][3150/3696] lr: 6.000e-05, eta: 7:34:08, time: 0.909, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0239, loss_cls: 6.2907, loss_bbox: 2.9442, loss: 9.3159 2023-01-27 18:39:33,586 - mmdet - INFO - Epoch [4][3200/3696] lr: 6.000e-05, eta: 7:33:25, time: 0.923, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0236, loss_cls: 6.2866, loss_bbox: 2.9360, loss: 9.3016 2023-01-27 18:40:19,707 - mmdet - INFO - Epoch [4][3250/3696] lr: 6.000e-05, eta: 7:32:41, time: 0.922, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0243, loss_cls: 6.3037, loss_bbox: 2.9355, loss: 9.3207 2023-01-27 18:41:05,587 - mmdet - INFO - Epoch [4][3300/3696] lr: 6.000e-05, eta: 7:31:57, time: 0.918, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0238, loss_cls: 6.2943, loss_bbox: 2.9457, loss: 9.3203 2023-01-27 18:41:51,649 - mmdet - INFO - Epoch [4][3350/3696] lr: 6.000e-05, eta: 7:31:14, time: 0.921, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0240, loss_cls: 6.2835, loss_bbox: 2.9320, loss: 9.2965 2023-01-27 18:42:37,138 - mmdet - INFO - Epoch [4][3400/3696] lr: 6.000e-05, eta: 7:30:29, time: 0.910, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0236, loss_cls: 6.2945, loss_bbox: 2.9449, loss: 9.3197 2023-01-27 18:43:22,403 - mmdet - INFO - Epoch [4][3450/3696] lr: 6.000e-05, eta: 7:29:44, time: 0.905, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0559, loss_rpn_bbox: 0.0234, loss_cls: 6.2875, loss_bbox: 2.9430, loss: 9.3099 2023-01-27 18:44:08,482 - mmdet - INFO - Epoch [4][3500/3696] lr: 6.000e-05, eta: 7:29:00, time: 0.922, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0238, loss_cls: 6.2906, loss_bbox: 2.9435, loss: 9.3141 2023-01-27 18:44:54,856 - mmdet - INFO - Epoch [4][3550/3696] lr: 6.000e-05, eta: 7:28:17, time: 0.927, data_time: 0.019, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0236, loss_cls: 6.2798, loss_bbox: 2.9443, loss: 9.3030 2023-01-27 18:45:40,924 - mmdet - INFO - Epoch [4][3600/3696] lr: 6.000e-05, eta: 7:27:34, time: 0.921, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0239, loss_cls: 6.2914, loss_bbox: 2.9330, loss: 9.3047 2023-01-27 18:46:26,547 - mmdet - INFO - Epoch [4][3650/3696] lr: 6.000e-05, eta: 7:26:49, time: 0.912, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0233, loss_cls: 6.2839, loss_bbox: 2.9349, loss: 9.2982 2023-01-27 18:47:09,583 - mmdet - INFO - Saving checkpoint at 4 epochs 2023-01-27 18:48:01,314 - mmdet - INFO - Epoch [5][50/3696] lr: 6.000e-05, eta: 7:24:06, time: 0.972, data_time: 0.073, memory: 13920, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0235, loss_cls: 6.2858, loss_bbox: 2.9274, loss: 9.2927 2023-01-27 18:48:46,823 - mmdet - INFO - Epoch [5][100/3696] lr: 6.000e-05, eta: 7:23:21, time: 0.910, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0231, loss_cls: 6.2703, loss_bbox: 2.9424, loss: 9.2919 2023-01-27 18:49:32,385 - mmdet - INFO - Epoch [5][150/3696] lr: 6.000e-05, eta: 7:22:37, time: 0.911, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0236, loss_cls: 6.2975, loss_bbox: 2.9406, loss: 9.3172 2023-01-27 18:50:17,872 - mmdet - INFO - Epoch [5][200/3696] lr: 6.000e-05, eta: 7:21:53, time: 0.910, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0237, loss_cls: 6.2773, loss_bbox: 2.9323, loss: 9.2896 2023-01-27 18:51:03,532 - mmdet - INFO - Epoch [5][250/3696] lr: 6.000e-05, eta: 7:21:09, time: 0.913, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0237, loss_cls: 6.2792, loss_bbox: 2.9383, loss: 9.2973 2023-01-27 18:51:49,301 - mmdet - INFO - Epoch [5][300/3696] lr: 6.000e-05, eta: 7:20:25, time: 0.915, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0240, loss_cls: 6.2949, loss_bbox: 2.9411, loss: 9.3167 2023-01-27 18:52:35,021 - mmdet - INFO - Epoch [5][350/3696] lr: 6.000e-05, eta: 7:19:41, time: 0.914, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0557, loss_rpn_bbox: 0.0234, loss_cls: 6.2823, loss_bbox: 2.9455, loss: 9.3068 2023-01-27 18:53:21,005 - mmdet - INFO - Epoch [5][400/3696] lr: 6.000e-05, eta: 7:18:57, time: 0.920, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0238, loss_cls: 6.2852, loss_bbox: 2.9450, loss: 9.3096 2023-01-27 18:54:06,860 - mmdet - INFO - Epoch [5][450/3696] lr: 6.000e-05, eta: 7:18:13, time: 0.917, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0237, loss_cls: 6.2882, loss_bbox: 2.9278, loss: 9.2965 2023-01-27 18:54:53,241 - mmdet - INFO - Epoch [5][500/3696] lr: 6.000e-05, eta: 7:17:30, time: 0.928, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0244, loss_cls: 6.3037, loss_bbox: 2.9079, loss: 9.2929 2023-01-27 18:55:39,151 - mmdet - INFO - Epoch [5][550/3696] lr: 6.000e-05, eta: 7:16:47, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0241, loss_cls: 6.2947, loss_bbox: 2.9127, loss: 9.2886 2023-01-27 18:56:25,026 - mmdet - INFO - Epoch [5][600/3696] lr: 6.000e-05, eta: 7:16:03, time: 0.917, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0237, loss_cls: 6.2910, loss_bbox: 2.9324, loss: 9.3029 2023-01-27 18:57:10,696 - mmdet - INFO - Epoch [5][650/3696] lr: 6.000e-05, eta: 7:15:19, time: 0.913, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0242, loss_cls: 6.2945, loss_bbox: 2.9214, loss: 9.2973 2023-01-27 18:57:56,647 - mmdet - INFO - Epoch [5][700/3696] lr: 6.000e-05, eta: 7:14:35, time: 0.919, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0239, loss_cls: 6.2939, loss_bbox: 2.9342, loss: 9.3085 2023-01-27 18:58:42,060 - mmdet - INFO - Epoch [5][750/3696] lr: 6.000e-05, eta: 7:13:50, time: 0.908, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0243, loss_cls: 6.3057, loss_bbox: 2.9250, loss: 9.3117 2023-01-27 18:59:27,683 - mmdet - INFO - Epoch [5][800/3696] lr: 6.000e-05, eta: 7:13:06, time: 0.912, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0238, loss_cls: 6.2848, loss_bbox: 2.9385, loss: 9.3040 2023-01-27 19:00:12,809 - mmdet - INFO - Epoch [5][850/3696] lr: 6.000e-05, eta: 7:12:21, time: 0.903, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0238, loss_cls: 6.2847, loss_bbox: 2.9379, loss: 9.3032 2023-01-27 19:00:58,757 - mmdet - INFO - Epoch [5][900/3696] lr: 6.000e-05, eta: 7:11:37, time: 0.919, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0241, loss_cls: 6.2927, loss_bbox: 2.9240, loss: 9.2967 2023-01-27 19:01:44,422 - mmdet - INFO - Epoch [5][950/3696] lr: 6.000e-05, eta: 7:10:53, time: 0.913, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0238, loss_cls: 6.2860, loss_bbox: 2.9324, loss: 9.2993 2023-01-27 19:02:30,700 - mmdet - INFO - Epoch [5][1000/3696] lr: 6.000e-05, eta: 7:10:10, time: 0.926, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0240, loss_cls: 6.2916, loss_bbox: 2.9243, loss: 9.2964 2023-01-27 19:03:16,539 - mmdet - INFO - Epoch [5][1050/3696] lr: 6.000e-05, eta: 7:09:26, time: 0.917, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0240, loss_cls: 6.2896, loss_bbox: 2.9189, loss: 9.2898 2023-01-27 19:04:02,223 - mmdet - INFO - Epoch [5][1100/3696] lr: 6.000e-05, eta: 7:08:41, time: 0.914, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0240, loss_cls: 6.2945, loss_bbox: 2.9211, loss: 9.2964 2023-01-27 19:04:47,641 - mmdet - INFO - Epoch [5][1150/3696] lr: 6.000e-05, eta: 7:07:57, time: 0.908, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0557, loss_rpn_bbox: 0.0235, loss_cls: 6.2822, loss_bbox: 2.9248, loss: 9.2862 2023-01-27 19:05:32,944 - mmdet - INFO - Epoch [5][1200/3696] lr: 6.000e-05, eta: 7:07:12, time: 0.906, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0240, loss_cls: 6.2969, loss_bbox: 2.9261, loss: 9.3033 2023-01-27 19:06:18,010 - mmdet - INFO - Epoch [5][1250/3696] lr: 6.000e-05, eta: 7:06:26, time: 0.901, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0237, loss_cls: 6.2829, loss_bbox: 2.9367, loss: 9.2991 2023-01-27 19:07:03,113 - mmdet - INFO - Epoch [5][1300/3696] lr: 6.000e-05, eta: 7:05:41, time: 0.902, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0233, loss_cls: 6.2823, loss_bbox: 2.9405, loss: 9.3013 2023-01-27 19:07:48,981 - mmdet - INFO - Epoch [5][1350/3696] lr: 6.000e-05, eta: 7:04:57, time: 0.917, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0237, loss_cls: 6.2816, loss_bbox: 2.9248, loss: 9.2865 2023-01-27 19:08:34,163 - mmdet - INFO - Epoch [5][1400/3696] lr: 6.000e-05, eta: 7:04:12, time: 0.904, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0234, loss_cls: 6.2819, loss_bbox: 2.9413, loss: 9.3018 2023-01-27 19:09:20,224 - mmdet - INFO - Epoch [5][1450/3696] lr: 6.000e-05, eta: 7:03:28, time: 0.921, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0239, loss_cls: 6.2985, loss_bbox: 2.9197, loss: 9.2990 2023-01-27 19:10:05,288 - mmdet - INFO - Epoch [5][1500/3696] lr: 6.000e-05, eta: 7:02:43, time: 0.901, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0235, loss_cls: 6.2828, loss_bbox: 2.9415, loss: 9.3039 2023-01-27 19:10:51,192 - mmdet - INFO - Epoch [5][1550/3696] lr: 6.000e-05, eta: 7:01:59, time: 0.918, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0243, loss_cls: 6.3026, loss_bbox: 2.9182, loss: 9.3017 2023-01-27 19:11:36,653 - mmdet - INFO - Epoch [5][1600/3696] lr: 6.000e-05, eta: 7:01:14, time: 0.909, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0240, loss_cls: 6.2935, loss_bbox: 2.9186, loss: 9.2931 2023-01-27 19:12:22,693 - mmdet - INFO - Epoch [5][1650/3696] lr: 6.000e-05, eta: 7:00:30, time: 0.921, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0240, loss_cls: 6.3011, loss_bbox: 2.9247, loss: 9.3065 2023-01-27 19:13:08,680 - mmdet - INFO - Epoch [5][1700/3696] lr: 6.000e-05, eta: 6:59:47, time: 0.920, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0240, loss_cls: 6.2991, loss_bbox: 2.9230, loss: 9.3021 2023-01-27 19:13:54,322 - mmdet - INFO - Epoch [5][1750/3696] lr: 6.000e-05, eta: 6:59:02, time: 0.913, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0234, loss_cls: 6.2787, loss_bbox: 2.9396, loss: 9.2972 2023-01-27 19:14:39,860 - mmdet - INFO - Epoch [5][1800/3696] lr: 6.000e-05, eta: 6:58:18, time: 0.911, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0237, loss_cls: 6.2891, loss_bbox: 2.9086, loss: 9.2772 2023-01-27 19:15:25,706 - mmdet - INFO - Epoch [5][1850/3696] lr: 6.000e-05, eta: 6:57:33, time: 0.917, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0562, loss_rpn_bbox: 0.0238, loss_cls: 6.2893, loss_bbox: 2.9300, loss: 9.2992 2023-01-27 19:16:11,570 - mmdet - INFO - Epoch [5][1900/3696] lr: 6.000e-05, eta: 6:56:49, time: 0.917, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0242, loss_cls: 6.3038, loss_bbox: 2.9288, loss: 9.3133 2023-01-27 19:16:56,972 - mmdet - INFO - Epoch [5][1950/3696] lr: 6.000e-05, eta: 6:56:05, time: 0.908, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0559, loss_rpn_bbox: 0.0238, loss_cls: 6.2907, loss_bbox: 2.9263, loss: 9.2966 2023-01-27 19:17:42,974 - mmdet - INFO - Epoch [5][2000/3696] lr: 6.000e-05, eta: 6:55:21, time: 0.920, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0241, loss_cls: 6.3006, loss_bbox: 2.9274, loss: 9.3085 2023-01-27 19:18:28,511 - mmdet - INFO - Epoch [5][2050/3696] lr: 6.000e-05, eta: 6:54:36, time: 0.911, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0244, loss_cls: 6.3026, loss_bbox: 2.9153, loss: 9.2994 2023-01-27 19:19:13,825 - mmdet - INFO - Epoch [5][2100/3696] lr: 6.000e-05, eta: 6:53:51, time: 0.906, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0235, loss_cls: 6.2802, loss_bbox: 2.9277, loss: 9.2865 2023-01-27 19:19:59,602 - mmdet - INFO - Epoch [5][2150/3696] lr: 6.000e-05, eta: 6:53:07, time: 0.916, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0239, loss_cls: 6.2835, loss_bbox: 2.9205, loss: 9.2837 2023-01-27 19:20:45,688 - mmdet - INFO - Epoch [5][2200/3696] lr: 6.000e-05, eta: 6:52:23, time: 0.922, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0562, loss_rpn_bbox: 0.0238, loss_cls: 6.2822, loss_bbox: 2.9142, loss: 9.2764 2023-01-27 19:21:30,854 - mmdet - INFO - Epoch [5][2250/3696] lr: 6.000e-05, eta: 6:51:38, time: 0.903, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0235, loss_cls: 6.2794, loss_bbox: 2.9282, loss: 9.2863 2023-01-27 19:22:17,189 - mmdet - INFO - Epoch [5][2300/3696] lr: 6.000e-05, eta: 6:50:54, time: 0.927, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0241, loss_cls: 6.2979, loss_bbox: 2.9010, loss: 9.2797 2023-01-27 19:23:02,550 - mmdet - INFO - Epoch [5][2350/3696] lr: 6.000e-05, eta: 6:50:09, time: 0.907, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0557, loss_rpn_bbox: 0.0240, loss_cls: 6.2894, loss_bbox: 2.9193, loss: 9.2883 2023-01-27 19:23:47,889 - mmdet - INFO - Epoch [5][2400/3696] lr: 6.000e-05, eta: 6:49:24, time: 0.907, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0234, loss_cls: 6.2753, loss_bbox: 2.9381, loss: 9.2922 2023-01-27 19:24:33,981 - mmdet - INFO - Epoch [5][2450/3696] lr: 6.000e-05, eta: 6:48:40, time: 0.922, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0242, loss_cls: 6.2984, loss_bbox: 2.9058, loss: 9.2853 2023-01-27 19:25:20,158 - mmdet - INFO - Epoch [5][2500/3696] lr: 6.000e-05, eta: 6:47:57, time: 0.924, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0235, loss_cls: 6.2785, loss_bbox: 2.9207, loss: 9.2783 2023-01-27 19:26:06,019 - mmdet - INFO - Epoch [5][2550/3696] lr: 6.000e-05, eta: 6:47:13, time: 0.917, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0238, loss_cls: 6.2878, loss_bbox: 2.9074, loss: 9.2751 2023-01-27 19:26:51,440 - mmdet - INFO - Epoch [5][2600/3696] lr: 6.000e-05, eta: 6:46:28, time: 0.908, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0235, loss_cls: 6.2752, loss_bbox: 2.9255, loss: 9.2795 2023-01-27 19:27:37,317 - mmdet - INFO - Epoch [5][2650/3696] lr: 6.000e-05, eta: 6:45:43, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0236, loss_cls: 6.2823, loss_bbox: 2.9180, loss: 9.2780 2023-01-27 19:28:22,552 - mmdet - INFO - Epoch [5][2700/3696] lr: 6.000e-05, eta: 6:44:58, time: 0.905, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0235, loss_cls: 6.2812, loss_bbox: 2.9242, loss: 9.2843 2023-01-27 19:29:08,102 - mmdet - INFO - Epoch [5][2750/3696] lr: 6.000e-05, eta: 6:44:14, time: 0.911, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0236, loss_cls: 6.2765, loss_bbox: 2.9272, loss: 9.2834 2023-01-27 19:29:54,358 - mmdet - INFO - Epoch [5][2800/3696] lr: 6.000e-05, eta: 6:43:30, time: 0.925, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0241, loss_cls: 6.2979, loss_bbox: 2.9134, loss: 9.2914 2023-01-27 19:30:39,866 - mmdet - INFO - Epoch [5][2850/3696] lr: 6.000e-05, eta: 6:42:45, time: 0.910, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0237, loss_cls: 6.2841, loss_bbox: 2.9191, loss: 9.2826 2023-01-27 19:31:25,873 - mmdet - INFO - Epoch [5][2900/3696] lr: 6.000e-05, eta: 6:42:01, time: 0.920, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0238, loss_cls: 6.2860, loss_bbox: 2.9296, loss: 9.2951 2023-01-27 19:32:11,979 - mmdet - INFO - Epoch [5][2950/3696] lr: 6.000e-05, eta: 6:41:17, time: 0.922, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0239, loss_cls: 6.2782, loss_bbox: 2.9063, loss: 9.2645 2023-01-27 19:32:57,585 - mmdet - INFO - Epoch [5][3000/3696] lr: 6.000e-05, eta: 6:40:33, time: 0.912, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0237, loss_cls: 6.2898, loss_bbox: 2.9349, loss: 9.3033 2023-01-27 19:33:42,725 - mmdet - INFO - Epoch [5][3050/3696] lr: 6.000e-05, eta: 6:39:47, time: 0.903, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0234, loss_cls: 6.2780, loss_bbox: 2.9294, loss: 9.2856 2023-01-27 19:34:28,647 - mmdet - INFO - Epoch [5][3100/3696] lr: 6.000e-05, eta: 6:39:03, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0237, loss_cls: 6.2792, loss_bbox: 2.9030, loss: 9.2617 2023-01-27 19:35:14,595 - mmdet - INFO - Epoch [5][3150/3696] lr: 6.000e-05, eta: 6:38:19, time: 0.919, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0239, loss_cls: 6.2863, loss_bbox: 2.9041, loss: 9.2706 2023-01-27 19:36:00,332 - mmdet - INFO - Epoch [5][3200/3696] lr: 6.000e-05, eta: 6:37:34, time: 0.915, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0238, loss_cls: 6.2884, loss_bbox: 2.9235, loss: 9.2911 2023-01-27 19:36:46,394 - mmdet - INFO - Epoch [5][3250/3696] lr: 6.000e-05, eta: 6:36:50, time: 0.921, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0235, loss_cls: 6.2856, loss_bbox: 2.9105, loss: 9.2744 2023-01-27 19:37:32,120 - mmdet - INFO - Epoch [5][3300/3696] lr: 6.000e-05, eta: 6:36:06, time: 0.915, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0237, loss_cls: 6.2820, loss_bbox: 2.9196, loss: 9.2801 2023-01-27 19:38:17,346 - mmdet - INFO - Epoch [5][3350/3696] lr: 6.000e-05, eta: 6:35:20, time: 0.904, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0234, loss_cls: 6.2834, loss_bbox: 2.9187, loss: 9.2802 2023-01-27 19:39:02,728 - mmdet - INFO - Epoch [5][3400/3696] lr: 6.000e-05, eta: 6:34:35, time: 0.908, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0559, loss_rpn_bbox: 0.0237, loss_cls: 6.2823, loss_bbox: 2.9170, loss: 9.2790 2023-01-27 19:39:47,832 - mmdet - INFO - Epoch [5][3450/3696] lr: 6.000e-05, eta: 6:33:50, time: 0.902, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0232, loss_cls: 6.2754, loss_bbox: 2.9197, loss: 9.2731 2023-01-27 19:40:33,777 - mmdet - INFO - Epoch [5][3500/3696] lr: 6.000e-05, eta: 6:33:06, time: 0.919, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0236, loss_cls: 6.2815, loss_bbox: 2.9207, loss: 9.2810 2023-01-27 19:41:19,691 - mmdet - INFO - Epoch [5][3550/3696] lr: 6.000e-05, eta: 6:32:21, time: 0.918, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0240, loss_cls: 6.2832, loss_bbox: 2.9063, loss: 9.2700 2023-01-27 19:42:05,456 - mmdet - INFO - Epoch [5][3600/3696] lr: 6.000e-05, eta: 6:31:37, time: 0.915, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0237, loss_cls: 6.2839, loss_bbox: 2.9171, loss: 9.2800 2023-01-27 19:42:51,184 - mmdet - INFO - Epoch [5][3650/3696] lr: 6.000e-05, eta: 6:30:52, time: 0.914, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0237, loss_cls: 6.2824, loss_bbox: 2.9083, loss: 9.2706 2023-01-27 19:43:33,321 - mmdet - INFO - Saving checkpoint at 5 epochs 2023-01-27 19:44:24,803 - mmdet - INFO - Epoch [6][50/3696] lr: 6.000e-05, eta: 6:28:32, time: 0.967, data_time: 0.074, memory: 13920, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0235, loss_cls: 6.2820, loss_bbox: 2.9151, loss: 9.2758 2023-01-27 19:45:10,447 - mmdet - INFO - Epoch [6][100/3696] lr: 6.000e-05, eta: 6:27:47, time: 0.913, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0235, loss_cls: 6.2795, loss_bbox: 2.9143, loss: 9.2727 2023-01-27 19:45:55,710 - mmdet - INFO - Epoch [6][150/3696] lr: 6.000e-05, eta: 6:27:02, time: 0.905, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0234, loss_cls: 6.2777, loss_bbox: 2.9203, loss: 9.2767 2023-01-27 19:46:41,723 - mmdet - INFO - Epoch [6][200/3696] lr: 6.000e-05, eta: 6:26:18, time: 0.920, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0237, loss_cls: 6.2817, loss_bbox: 2.9161, loss: 9.2770 2023-01-27 19:47:27,320 - mmdet - INFO - Epoch [6][250/3696] lr: 6.000e-05, eta: 6:25:34, time: 0.912, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0238, loss_cls: 6.2866, loss_bbox: 2.9052, loss: 9.2708 2023-01-27 19:48:14,128 - mmdet - INFO - Epoch [6][300/3696] lr: 6.000e-05, eta: 6:24:51, time: 0.936, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0242, loss_cls: 6.3030, loss_bbox: 2.8942, loss: 9.2776 2023-01-27 19:49:00,280 - mmdet - INFO - Epoch [6][350/3696] lr: 6.000e-05, eta: 6:24:07, time: 0.923, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0240, loss_cls: 6.2922, loss_bbox: 2.9083, loss: 9.2799 2023-01-27 19:49:46,236 - mmdet - INFO - Epoch [6][400/3696] lr: 6.000e-05, eta: 6:23:23, time: 0.919, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0244, loss_cls: 6.3004, loss_bbox: 2.8894, loss: 9.2707 2023-01-27 19:50:31,533 - mmdet - INFO - Epoch [6][450/3696] lr: 6.000e-05, eta: 6:22:38, time: 0.906, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0234, loss_cls: 6.2743, loss_bbox: 2.9121, loss: 9.2653 2023-01-27 19:51:17,137 - mmdet - INFO - Epoch [6][500/3696] lr: 6.000e-05, eta: 6:21:54, time: 0.912, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0240, loss_cls: 6.2904, loss_bbox: 2.9061, loss: 9.2758 2023-01-27 19:52:02,517 - mmdet - INFO - Epoch [6][550/3696] lr: 6.000e-05, eta: 6:21:09, time: 0.908, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0232, loss_cls: 6.2671, loss_bbox: 2.9184, loss: 9.2637 2023-01-27 19:52:48,558 - mmdet - INFO - Epoch [6][600/3696] lr: 6.000e-05, eta: 6:20:25, time: 0.921, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0240, loss_cls: 6.2965, loss_bbox: 2.8959, loss: 9.2721 2023-01-27 19:53:34,899 - mmdet - INFO - Epoch [6][650/3696] lr: 6.000e-05, eta: 6:19:41, time: 0.927, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0239, loss_cls: 6.2936, loss_bbox: 2.8882, loss: 9.2611 2023-01-27 19:54:20,590 - mmdet - INFO - Epoch [6][700/3696] lr: 6.000e-05, eta: 6:18:57, time: 0.914, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0236, loss_cls: 6.2820, loss_bbox: 2.9135, loss: 9.2742 2023-01-27 19:55:05,814 - mmdet - INFO - Epoch [6][750/3696] lr: 6.000e-05, eta: 6:18:12, time: 0.905, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0237, loss_cls: 6.2765, loss_bbox: 2.9163, loss: 9.2718 2023-01-27 19:55:51,546 - mmdet - INFO - Epoch [6][800/3696] lr: 6.000e-05, eta: 6:17:27, time: 0.915, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0237, loss_cls: 6.2775, loss_bbox: 2.9117, loss: 9.2684 2023-01-27 19:56:38,035 - mmdet - INFO - Epoch [6][850/3696] lr: 6.000e-05, eta: 6:16:44, time: 0.930, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0244, loss_cls: 6.3027, loss_bbox: 2.8659, loss: 9.2501 2023-01-27 19:57:23,318 - mmdet - INFO - Epoch [6][900/3696] lr: 6.000e-05, eta: 6:15:59, time: 0.906, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0231, loss_cls: 6.2654, loss_bbox: 2.9196, loss: 9.2620 2023-01-27 19:58:08,952 - mmdet - INFO - Epoch [6][950/3696] lr: 6.000e-05, eta: 6:15:14, time: 0.913, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0237, loss_cls: 6.2876, loss_bbox: 2.9185, loss: 9.2848 2023-01-27 19:58:55,228 - mmdet - INFO - Epoch [6][1000/3696] lr: 6.000e-05, eta: 6:14:30, time: 0.926, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0240, loss_cls: 6.2912, loss_bbox: 2.8894, loss: 9.2601 2023-01-27 19:59:41,428 - mmdet - INFO - Epoch [6][1050/3696] lr: 6.000e-05, eta: 6:13:47, time: 0.924, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0562, loss_rpn_bbox: 0.0241, loss_cls: 6.2938, loss_bbox: 2.9000, loss: 9.2741 2023-01-27 20:00:27,166 - mmdet - INFO - Epoch [6][1100/3696] lr: 6.000e-05, eta: 6:13:02, time: 0.915, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0236, loss_cls: 6.2869, loss_bbox: 2.9106, loss: 9.2762 2023-01-27 20:01:12,539 - mmdet - INFO - Epoch [6][1150/3696] lr: 6.000e-05, eta: 6:12:17, time: 0.907, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0238, loss_cls: 6.2814, loss_bbox: 2.9034, loss: 9.2640 2023-01-27 20:01:58,545 - mmdet - INFO - Epoch [6][1200/3696] lr: 6.000e-05, eta: 6:11:33, time: 0.920, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0233, loss_cls: 6.2721, loss_bbox: 2.9140, loss: 9.2635 2023-01-27 20:02:44,680 - mmdet - INFO - Epoch [6][1250/3696] lr: 6.000e-05, eta: 6:10:49, time: 0.923, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0234, loss_cls: 6.2698, loss_bbox: 2.9132, loss: 9.2616 2023-01-27 20:03:30,333 - mmdet - INFO - Epoch [6][1300/3696] lr: 6.000e-05, eta: 6:10:04, time: 0.913, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0233, loss_cls: 6.2791, loss_bbox: 2.9100, loss: 9.2666 2023-01-27 20:04:16,216 - mmdet - INFO - Epoch [6][1350/3696] lr: 6.000e-05, eta: 6:09:20, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0235, loss_cls: 6.2741, loss_bbox: 2.9158, loss: 9.2687 2023-01-27 20:05:01,701 - mmdet - INFO - Epoch [6][1400/3696] lr: 6.000e-05, eta: 6:08:35, time: 0.910, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0238, loss_cls: 6.2834, loss_bbox: 2.9111, loss: 9.2740 2023-01-27 20:05:47,603 - mmdet - INFO - Epoch [6][1450/3696] lr: 6.000e-05, eta: 6:07:51, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0237, loss_cls: 6.2837, loss_bbox: 2.9044, loss: 9.2670 2023-01-27 20:06:34,005 - mmdet - INFO - Epoch [6][1500/3696] lr: 6.000e-05, eta: 6:07:07, time: 0.928, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0242, loss_cls: 6.2992, loss_bbox: 2.8872, loss: 9.2664 2023-01-27 20:07:19,405 - mmdet - INFO - Epoch [6][1550/3696] lr: 6.000e-05, eta: 6:06:22, time: 0.908, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0236, loss_cls: 6.2798, loss_bbox: 2.9176, loss: 9.2766 2023-01-27 20:08:04,329 - mmdet - INFO - Epoch [6][1600/3696] lr: 6.000e-05, eta: 6:05:37, time: 0.898, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0232, loss_cls: 6.2740, loss_bbox: 2.9203, loss: 9.2724 2023-01-27 20:08:49,932 - mmdet - INFO - Epoch [6][1650/3696] lr: 6.000e-05, eta: 6:04:52, time: 0.912, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0237, loss_cls: 6.2832, loss_bbox: 2.9059, loss: 9.2681 2023-01-27 20:09:37,403 - mmdet - INFO - Epoch [6][1700/3696] lr: 6.000e-05, eta: 6:04:10, time: 0.949, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0559, loss_rpn_bbox: 0.0238, loss_cls: 6.2853, loss_bbox: 2.8983, loss: 9.2634 2023-01-27 20:10:25,390 - mmdet - INFO - Epoch [6][1750/3696] lr: 6.000e-05, eta: 6:03:28, time: 0.960, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0238, loss_cls: 6.2889, loss_bbox: 2.8942, loss: 9.2628 2023-01-27 20:11:10,899 - mmdet - INFO - Epoch [6][1800/3696] lr: 6.000e-05, eta: 6:02:43, time: 0.910, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0237, loss_cls: 6.2894, loss_bbox: 2.9145, loss: 9.2831 2023-01-27 20:12:00,860 - mmdet - INFO - Epoch [6][1850/3696] lr: 6.000e-05, eta: 6:02:03, time: 0.999, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0240, loss_cls: 6.2963, loss_bbox: 2.8977, loss: 9.2733 2023-01-27 20:12:48,924 - mmdet - INFO - Epoch [6][1900/3696] lr: 6.000e-05, eta: 6:01:22, time: 0.961, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0239, loss_cls: 6.2920, loss_bbox: 2.8918, loss: 9.2630 2023-01-27 20:13:34,854 - mmdet - INFO - Epoch [6][1950/3696] lr: 6.000e-05, eta: 6:00:37, time: 0.919, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0238, loss_cls: 6.2808, loss_bbox: 2.9045, loss: 9.2639 2023-01-27 20:14:24,116 - mmdet - INFO - Epoch [6][2000/3696] lr: 6.000e-05, eta: 5:59:57, time: 0.985, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0232, loss_cls: 6.2666, loss_bbox: 2.9237, loss: 9.2676 2023-01-27 20:15:09,609 - mmdet - INFO - Epoch [6][2050/3696] lr: 6.000e-05, eta: 5:59:12, time: 0.910, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0237, loss_cls: 6.2862, loss_bbox: 2.9058, loss: 9.2702 2023-01-27 20:15:57,477 - mmdet - INFO - Epoch [6][2100/3696] lr: 6.000e-05, eta: 5:58:29, time: 0.957, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0234, loss_cls: 6.2813, loss_bbox: 2.9037, loss: 9.2631 2023-01-27 20:16:43,179 - mmdet - INFO - Epoch [6][2150/3696] lr: 6.000e-05, eta: 5:57:45, time: 0.914, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0234, loss_cls: 6.2779, loss_bbox: 2.9222, loss: 9.2778 2023-01-27 20:17:28,864 - mmdet - INFO - Epoch [6][2200/3696] lr: 6.000e-05, eta: 5:57:00, time: 0.914, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0233, loss_cls: 6.2754, loss_bbox: 2.8983, loss: 9.2516 2023-01-27 20:18:14,741 - mmdet - INFO - Epoch [6][2250/3696] lr: 6.000e-05, eta: 5:56:16, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0240, loss_cls: 6.2914, loss_bbox: 2.9048, loss: 9.2763 2023-01-27 20:19:00,331 - mmdet - INFO - Epoch [6][2300/3696] lr: 6.000e-05, eta: 5:55:31, time: 0.912, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0238, loss_cls: 6.2883, loss_bbox: 2.9106, loss: 9.2776 2023-01-27 20:19:46,007 - mmdet - INFO - Epoch [6][2350/3696] lr: 6.000e-05, eta: 5:54:46, time: 0.914, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0234, loss_cls: 6.2787, loss_bbox: 2.9080, loss: 9.2645 2023-01-27 20:20:31,668 - mmdet - INFO - Epoch [6][2400/3696] lr: 6.000e-05, eta: 5:54:01, time: 0.913, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0237, loss_cls: 6.2813, loss_bbox: 2.9065, loss: 9.2664 2023-01-27 20:21:17,181 - mmdet - INFO - Epoch [6][2450/3696] lr: 6.000e-05, eta: 5:53:16, time: 0.910, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0241, loss_cls: 6.2914, loss_bbox: 2.8896, loss: 9.2611 2023-01-27 20:22:03,094 - mmdet - INFO - Epoch [6][2500/3696] lr: 6.000e-05, eta: 5:52:32, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0236, loss_cls: 6.2772, loss_bbox: 2.8977, loss: 9.2535 2023-01-27 20:22:48,578 - mmdet - INFO - Epoch [6][2550/3696] lr: 6.000e-05, eta: 5:51:47, time: 0.910, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0235, loss_cls: 6.2738, loss_bbox: 2.9089, loss: 9.2609 2023-01-27 20:23:34,941 - mmdet - INFO - Epoch [6][2600/3696] lr: 6.000e-05, eta: 5:51:03, time: 0.927, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0242, loss_cls: 6.2997, loss_bbox: 2.8765, loss: 9.2561 2023-01-27 20:24:20,147 - mmdet - INFO - Epoch [6][2650/3696] lr: 6.000e-05, eta: 5:50:17, time: 0.904, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0234, loss_cls: 6.2752, loss_bbox: 2.9063, loss: 9.2598 2023-01-27 20:25:05,770 - mmdet - INFO - Epoch [6][2700/3696] lr: 6.000e-05, eta: 5:49:32, time: 0.912, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0557, loss_rpn_bbox: 0.0238, loss_cls: 6.2837, loss_bbox: 2.8964, loss: 9.2596 2023-01-27 20:25:50,924 - mmdet - INFO - Epoch [6][2750/3696] lr: 6.000e-05, eta: 5:48:47, time: 0.903, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0235, loss_cls: 6.2858, loss_bbox: 2.9022, loss: 9.2663 2023-01-27 20:26:36,904 - mmdet - INFO - Epoch [6][2800/3696] lr: 6.000e-05, eta: 5:48:03, time: 0.920, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0236, loss_cls: 6.2815, loss_bbox: 2.8958, loss: 9.2556 2023-01-27 20:27:23,168 - mmdet - INFO - Epoch [6][2850/3696] lr: 6.000e-05, eta: 5:47:18, time: 0.925, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0239, loss_cls: 6.2779, loss_bbox: 2.8904, loss: 9.2478 2023-01-27 20:28:08,837 - mmdet - INFO - Epoch [6][2900/3696] lr: 6.000e-05, eta: 5:46:34, time: 0.913, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0557, loss_rpn_bbox: 0.0238, loss_cls: 6.2760, loss_bbox: 2.8961, loss: 9.2516 2023-01-27 20:28:54,564 - mmdet - INFO - Epoch [6][2950/3696] lr: 6.000e-05, eta: 5:45:49, time: 0.915, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0242, loss_cls: 6.2918, loss_bbox: 2.8908, loss: 9.2626 2023-01-27 20:29:40,132 - mmdet - INFO - Epoch [6][3000/3696] lr: 6.000e-05, eta: 5:45:04, time: 0.911, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0238, loss_cls: 6.2872, loss_bbox: 2.9015, loss: 9.2685 2023-01-27 20:30:26,030 - mmdet - INFO - Epoch [6][3050/3696] lr: 6.000e-05, eta: 5:44:19, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0236, loss_cls: 6.2788, loss_bbox: 2.8947, loss: 9.2524 2023-01-27 20:31:11,428 - mmdet - INFO - Epoch [6][3100/3696] lr: 6.000e-05, eta: 5:43:34, time: 0.908, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0235, loss_cls: 6.2782, loss_bbox: 2.9021, loss: 9.2579 2023-01-27 20:31:56,774 - mmdet - INFO - Epoch [6][3150/3696] lr: 6.000e-05, eta: 5:42:49, time: 0.907, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0234, loss_cls: 6.2724, loss_bbox: 2.9093, loss: 9.2597 2023-01-27 20:32:41,905 - mmdet - INFO - Epoch [6][3200/3696] lr: 6.000e-05, eta: 5:42:04, time: 0.903, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0234, loss_cls: 6.2756, loss_bbox: 2.9034, loss: 9.2569 2023-01-27 20:33:27,116 - mmdet - INFO - Epoch [6][3250/3696] lr: 6.000e-05, eta: 5:41:18, time: 0.904, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0236, loss_cls: 6.2784, loss_bbox: 2.9080, loss: 9.2647 2023-01-27 20:34:13,289 - mmdet - INFO - Epoch [6][3300/3696] lr: 6.000e-05, eta: 5:40:34, time: 0.923, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0242, loss_cls: 6.2916, loss_bbox: 2.8907, loss: 9.2627 2023-01-27 20:34:59,175 - mmdet - INFO - Epoch [6][3350/3696] lr: 6.000e-05, eta: 5:39:49, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0238, loss_cls: 6.2848, loss_bbox: 2.8940, loss: 9.2576 2023-01-27 20:35:45,282 - mmdet - INFO - Epoch [6][3400/3696] lr: 6.000e-05, eta: 5:39:05, time: 0.922, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0239, loss_cls: 6.2915, loss_bbox: 2.8826, loss: 9.2533 2023-01-27 20:36:31,155 - mmdet - INFO - Epoch [6][3450/3696] lr: 6.000e-05, eta: 5:38:20, time: 0.917, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0236, loss_cls: 6.2807, loss_bbox: 2.8877, loss: 9.2474 2023-01-27 20:37:16,688 - mmdet - INFO - Epoch [6][3500/3696] lr: 6.000e-05, eta: 5:37:35, time: 0.911, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0237, loss_cls: 6.2798, loss_bbox: 2.9063, loss: 9.2648 2023-01-27 20:38:02,199 - mmdet - INFO - Epoch [6][3550/3696] lr: 6.000e-05, eta: 5:36:50, time: 0.910, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0235, loss_cls: 6.2674, loss_bbox: 2.9068, loss: 9.2525 2023-01-27 20:38:47,993 - mmdet - INFO - Epoch [6][3600/3696] lr: 6.000e-05, eta: 5:36:06, time: 0.916, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0234, loss_cls: 6.2825, loss_bbox: 2.8968, loss: 9.2570 2023-01-27 20:39:34,307 - mmdet - INFO - Epoch [6][3650/3696] lr: 6.000e-05, eta: 5:35:21, time: 0.926, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0237, loss_cls: 6.2869, loss_bbox: 2.8831, loss: 9.2485 2023-01-27 20:40:16,589 - mmdet - INFO - Saving checkpoint at 6 epochs 2023-01-27 20:41:08,828 - mmdet - INFO - Epoch [7][50/3696] lr: 6.000e-05, eta: 5:33:17, time: 0.983, data_time: 0.074, memory: 13920, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0243, loss_cls: 6.2935, loss_bbox: 2.8833, loss: 9.2571 2023-01-27 20:41:54,729 - mmdet - INFO - Epoch [7][100/3696] lr: 6.000e-05, eta: 5:32:32, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0238, loss_cls: 6.2816, loss_bbox: 2.8895, loss: 9.2501 2023-01-27 20:42:40,632 - mmdet - INFO - Epoch [7][150/3696] lr: 6.000e-05, eta: 5:31:48, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0239, loss_cls: 6.2897, loss_bbox: 2.8837, loss: 9.2518 2023-01-27 20:43:26,728 - mmdet - INFO - Epoch [7][200/3696] lr: 6.000e-05, eta: 5:31:04, time: 0.922, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0240, loss_cls: 6.2850, loss_bbox: 2.8850, loss: 9.2488 2023-01-27 20:44:12,330 - mmdet - INFO - Epoch [7][250/3696] lr: 6.000e-05, eta: 5:30:19, time: 0.912, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0233, loss_cls: 6.2789, loss_bbox: 2.9027, loss: 9.2586 2023-01-27 20:44:58,132 - mmdet - INFO - Epoch [7][300/3696] lr: 6.000e-05, eta: 5:29:34, time: 0.916, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0234, loss_cls: 6.2721, loss_bbox: 2.9001, loss: 9.2501 2023-01-27 20:45:44,039 - mmdet - INFO - Epoch [7][350/3696] lr: 6.000e-05, eta: 5:28:50, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0559, loss_rpn_bbox: 0.0240, loss_cls: 6.2887, loss_bbox: 2.8936, loss: 9.2622 2023-01-27 20:46:30,487 - mmdet - INFO - Epoch [7][400/3696] lr: 6.000e-05, eta: 5:28:06, time: 0.929, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0242, loss_cls: 6.2915, loss_bbox: 2.8717, loss: 9.2430 2023-01-27 20:47:16,737 - mmdet - INFO - Epoch [7][450/3696] lr: 6.000e-05, eta: 5:27:21, time: 0.925, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0240, loss_cls: 6.2908, loss_bbox: 2.8791, loss: 9.2488 2023-01-27 20:48:02,167 - mmdet - INFO - Epoch [7][500/3696] lr: 6.000e-05, eta: 5:26:36, time: 0.909, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0237, loss_cls: 6.2836, loss_bbox: 2.8939, loss: 9.2555 2023-01-27 20:48:47,446 - mmdet - INFO - Epoch [7][550/3696] lr: 6.000e-05, eta: 5:25:51, time: 0.906, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0232, loss_cls: 6.2702, loss_bbox: 2.9009, loss: 9.2482 2023-01-27 20:49:33,638 - mmdet - INFO - Epoch [7][600/3696] lr: 6.000e-05, eta: 5:25:07, time: 0.924, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0238, loss_cls: 6.2930, loss_bbox: 2.8817, loss: 9.2533 2023-01-27 20:50:19,056 - mmdet - INFO - Epoch [7][650/3696] lr: 6.000e-05, eta: 5:24:22, time: 0.908, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0236, loss_cls: 6.2849, loss_bbox: 2.8890, loss: 9.2523 2023-01-27 20:51:04,529 - mmdet - INFO - Epoch [7][700/3696] lr: 6.000e-05, eta: 5:23:37, time: 0.909, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0236, loss_cls: 6.2798, loss_bbox: 2.8928, loss: 9.2510 2023-01-27 20:51:49,978 - mmdet - INFO - Epoch [7][750/3696] lr: 6.000e-05, eta: 5:22:52, time: 0.909, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0239, loss_cls: 6.2911, loss_bbox: 2.8887, loss: 9.2589 2023-01-27 20:52:35,894 - mmdet - INFO - Epoch [7][800/3696] lr: 6.000e-05, eta: 5:22:08, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0235, loss_cls: 6.2748, loss_bbox: 2.8911, loss: 9.2445 2023-01-27 20:53:21,782 - mmdet - INFO - Epoch [7][850/3696] lr: 6.000e-05, eta: 5:21:23, time: 0.918, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0242, loss_cls: 6.2831, loss_bbox: 2.8811, loss: 9.2442 2023-01-27 20:54:07,407 - mmdet - INFO - Epoch [7][900/3696] lr: 6.000e-05, eta: 5:20:38, time: 0.912, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0237, loss_cls: 6.2809, loss_bbox: 2.8886, loss: 9.2477 2023-01-27 20:54:53,042 - mmdet - INFO - Epoch [7][950/3696] lr: 6.000e-05, eta: 5:19:53, time: 0.913, data_time: 0.018, memory: 13920, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0232, loss_cls: 6.2664, loss_bbox: 2.8838, loss: 9.2275 2023-01-27 20:55:38,811 - mmdet - INFO - Epoch [7][1000/3696] lr: 6.000e-05, eta: 5:19:09, time: 0.915, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0237, loss_cls: 6.2786, loss_bbox: 2.8971, loss: 9.2541 2023-01-27 20:56:24,512 - mmdet - INFO - Epoch [7][1050/3696] lr: 6.000e-05, eta: 5:18:24, time: 0.914, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0238, loss_cls: 6.2869, loss_bbox: 2.8863, loss: 9.2515 2023-01-27 20:57:11,393 - mmdet - INFO - Epoch [7][1100/3696] lr: 6.000e-05, eta: 5:17:40, time: 0.938, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0562, loss_rpn_bbox: 0.0244, loss_cls: 6.3003, loss_bbox: 2.8509, loss: 9.2318 2023-01-27 20:57:58,319 - mmdet - INFO - Epoch [7][1150/3696] lr: 6.000e-05, eta: 5:16:56, time: 0.938, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0243, loss_cls: 6.2988, loss_bbox: 2.8689, loss: 9.2470 2023-01-27 20:58:43,786 - mmdet - INFO - Epoch [7][1200/3696] lr: 6.000e-05, eta: 5:16:11, time: 0.909, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0228, loss_cls: 6.2667, loss_bbox: 2.9125, loss: 9.2554 2023-01-27 20:59:28,639 - mmdet - INFO - Epoch [7][1250/3696] lr: 6.000e-05, eta: 5:15:26, time: 0.897, data_time: 0.017, memory: 13920, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0232, loss_cls: 6.2676, loss_bbox: 2.9091, loss: 9.2536 2023-01-27 21:00:13,798 - mmdet - INFO - Epoch [7][1300/3696] lr: 6.000e-05, eta: 5:14:41, time: 0.903, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0234, loss_cls: 6.2793, loss_bbox: 2.8897, loss: 9.2468 2023-01-27 21:00:59,637 - mmdet - INFO - Epoch [7][1350/3696] lr: 6.000e-05, eta: 5:13:56, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0239, loss_cls: 6.2853, loss_bbox: 2.8772, loss: 9.2418 2023-01-27 21:01:45,543 - mmdet - INFO - Epoch [7][1400/3696] lr: 6.000e-05, eta: 5:13:11, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0235, loss_cls: 6.2696, loss_bbox: 2.8877, loss: 9.2360 2023-01-27 21:02:31,943 - mmdet - INFO - Epoch [7][1450/3696] lr: 6.000e-05, eta: 5:12:27, time: 0.928, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0238, loss_cls: 6.2810, loss_bbox: 2.8750, loss: 9.2351 2023-01-27 21:03:17,240 - mmdet - INFO - Epoch [7][1500/3696] lr: 6.000e-05, eta: 5:11:42, time: 0.906, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0236, loss_cls: 6.2843, loss_bbox: 2.8988, loss: 9.2615 2023-01-27 21:04:02,647 - mmdet - INFO - Epoch [7][1550/3696] lr: 6.000e-05, eta: 5:10:57, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0236, loss_cls: 6.2738, loss_bbox: 2.8882, loss: 9.2402 2023-01-27 21:04:48,235 - mmdet - INFO - Epoch [7][1600/3696] lr: 6.000e-05, eta: 5:10:12, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0234, loss_cls: 6.2712, loss_bbox: 2.8933, loss: 9.2424 2023-01-27 21:05:33,620 - mmdet - INFO - Epoch [7][1650/3696] lr: 6.000e-05, eta: 5:09:27, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0231, loss_cls: 6.2664, loss_bbox: 2.8971, loss: 9.2409 2023-01-27 21:06:19,533 - mmdet - INFO - Epoch [7][1700/3696] lr: 6.000e-05, eta: 5:08:42, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0240, loss_cls: 6.2909, loss_bbox: 2.8807, loss: 9.2514 2023-01-27 21:07:05,477 - mmdet - INFO - Epoch [7][1750/3696] lr: 6.000e-05, eta: 5:07:58, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0242, loss_cls: 6.2962, loss_bbox: 2.8772, loss: 9.2536 2023-01-27 21:07:51,952 - mmdet - INFO - Epoch [7][1800/3696] lr: 6.000e-05, eta: 5:07:13, time: 0.930, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0238, loss_cls: 6.2802, loss_bbox: 2.8675, loss: 9.2264 2023-01-27 21:08:37,669 - mmdet - INFO - Epoch [7][1850/3696] lr: 6.000e-05, eta: 5:06:29, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0237, loss_cls: 6.2865, loss_bbox: 2.8897, loss: 9.2548 2023-01-27 21:09:23,097 - mmdet - INFO - Epoch [7][1900/3696] lr: 6.000e-05, eta: 5:05:44, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0232, loss_cls: 6.2699, loss_bbox: 2.8990, loss: 9.2457 2023-01-27 21:10:08,676 - mmdet - INFO - Epoch [7][1950/3696] lr: 6.000e-05, eta: 5:04:59, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0234, loss_cls: 6.2744, loss_bbox: 2.8944, loss: 9.2464 2023-01-27 21:10:54,273 - mmdet - INFO - Epoch [7][2000/3696] lr: 6.000e-05, eta: 5:04:14, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0236, loss_cls: 6.2805, loss_bbox: 2.8889, loss: 9.2477 2023-01-27 21:11:40,081 - mmdet - INFO - Epoch [7][2050/3696] lr: 6.000e-05, eta: 5:03:29, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0235, loss_cls: 6.2880, loss_bbox: 2.8903, loss: 9.2563 2023-01-27 21:12:25,198 - mmdet - INFO - Epoch [7][2100/3696] lr: 6.000e-05, eta: 5:02:44, time: 0.902, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0230, loss_cls: 6.2574, loss_bbox: 2.8930, loss: 9.2273 2023-01-27 21:13:10,626 - mmdet - INFO - Epoch [7][2150/3696] lr: 6.000e-05, eta: 5:01:58, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0237, loss_cls: 6.2869, loss_bbox: 2.8847, loss: 9.2499 2023-01-27 21:13:56,227 - mmdet - INFO - Epoch [7][2200/3696] lr: 6.000e-05, eta: 5:01:14, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0240, loss_cls: 6.2902, loss_bbox: 2.8813, loss: 9.2505 2023-01-27 21:14:42,005 - mmdet - INFO - Epoch [7][2250/3696] lr: 6.000e-05, eta: 5:00:29, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0237, loss_cls: 6.2774, loss_bbox: 2.8833, loss: 9.2398 2023-01-27 21:15:28,130 - mmdet - INFO - Epoch [7][2300/3696] lr: 6.000e-05, eta: 4:59:44, time: 0.922, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0242, loss_cls: 6.2974, loss_bbox: 2.8702, loss: 9.2471 2023-01-27 21:16:14,120 - mmdet - INFO - Epoch [7][2350/3696] lr: 6.000e-05, eta: 4:59:00, time: 0.920, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0239, loss_cls: 6.2945, loss_bbox: 2.8725, loss: 9.2457 2023-01-27 21:16:59,727 - mmdet - INFO - Epoch [7][2400/3696] lr: 6.000e-05, eta: 4:58:15, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0236, loss_cls: 6.2759, loss_bbox: 2.9029, loss: 9.2567 2023-01-27 21:17:45,061 - mmdet - INFO - Epoch [7][2450/3696] lr: 6.000e-05, eta: 4:57:29, time: 0.907, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0237, loss_cls: 6.2842, loss_bbox: 2.8970, loss: 9.2599 2023-01-27 21:18:30,964 - mmdet - INFO - Epoch [7][2500/3696] lr: 6.000e-05, eta: 4:56:45, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0235, loss_cls: 6.2725, loss_bbox: 2.8820, loss: 9.2325 2023-01-27 21:19:16,645 - mmdet - INFO - Epoch [7][2550/3696] lr: 6.000e-05, eta: 4:56:00, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0238, loss_cls: 6.2801, loss_bbox: 2.8849, loss: 9.2435 2023-01-27 21:20:02,513 - mmdet - INFO - Epoch [7][2600/3696] lr: 6.000e-05, eta: 4:55:15, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0234, loss_cls: 6.2745, loss_bbox: 2.8809, loss: 9.2323 2023-01-27 21:20:48,758 - mmdet - INFO - Epoch [7][2650/3696] lr: 6.000e-05, eta: 4:54:31, time: 0.925, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0239, loss_cls: 6.2831, loss_bbox: 2.8890, loss: 9.2506 2023-01-27 21:21:34,258 - mmdet - INFO - Epoch [7][2700/3696] lr: 6.000e-05, eta: 4:53:46, time: 0.910, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0233, loss_cls: 6.2796, loss_bbox: 2.8970, loss: 9.2538 2023-01-27 21:22:19,509 - mmdet - INFO - Epoch [7][2750/3696] lr: 6.000e-05, eta: 4:53:00, time: 0.905, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0235, loss_cls: 6.2774, loss_bbox: 2.8873, loss: 9.2426 2023-01-27 21:23:05,912 - mmdet - INFO - Epoch [7][2800/3696] lr: 6.000e-05, eta: 4:52:16, time: 0.928, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0243, loss_cls: 6.2910, loss_bbox: 2.8647, loss: 9.2355 2023-01-27 21:23:51,732 - mmdet - INFO - Epoch [7][2850/3696] lr: 6.000e-05, eta: 4:51:31, time: 0.916, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0239, loss_cls: 6.2887, loss_bbox: 2.8828, loss: 9.2499 2023-01-27 21:24:37,955 - mmdet - INFO - Epoch [7][2900/3696] lr: 6.000e-05, eta: 4:50:47, time: 0.924, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0240, loss_cls: 6.2835, loss_bbox: 2.8716, loss: 9.2342 2023-01-27 21:25:23,442 - mmdet - INFO - Epoch [7][2950/3696] lr: 6.000e-05, eta: 4:50:02, time: 0.910, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0236, loss_cls: 6.2745, loss_bbox: 2.8856, loss: 9.2383 2023-01-27 21:26:09,349 - mmdet - INFO - Epoch [7][3000/3696] lr: 6.000e-05, eta: 4:49:17, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0235, loss_cls: 6.2725, loss_bbox: 2.8863, loss: 9.2368 2023-01-27 21:26:54,698 - mmdet - INFO - Epoch [7][3050/3696] lr: 6.000e-05, eta: 4:48:32, time: 0.907, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0233, loss_cls: 6.2729, loss_bbox: 2.8885, loss: 9.2384 2023-01-27 21:27:39,800 - mmdet - INFO - Epoch [7][3100/3696] lr: 6.000e-05, eta: 4:47:46, time: 0.902, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0230, loss_cls: 6.2534, loss_bbox: 2.8883, loss: 9.2188 2023-01-27 21:28:24,746 - mmdet - INFO - Epoch [7][3150/3696] lr: 6.000e-05, eta: 4:47:01, time: 0.899, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0232, loss_cls: 6.2695, loss_bbox: 2.9085, loss: 9.2555 2023-01-27 21:29:11,021 - mmdet - INFO - Epoch [7][3200/3696] lr: 6.000e-05, eta: 4:46:16, time: 0.926, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0241, loss_cls: 6.2830, loss_bbox: 2.8618, loss: 9.2236 2023-01-27 21:29:56,720 - mmdet - INFO - Epoch [7][3250/3696] lr: 6.000e-05, eta: 4:45:31, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0236, loss_cls: 6.2798, loss_bbox: 2.8858, loss: 9.2443 2023-01-27 21:30:42,350 - mmdet - INFO - Epoch [7][3300/3696] lr: 6.000e-05, eta: 4:44:46, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0238, loss_cls: 6.2785, loss_bbox: 2.8785, loss: 9.2347 2023-01-27 21:31:27,413 - mmdet - INFO - Epoch [7][3350/3696] lr: 6.000e-05, eta: 4:44:01, time: 0.901, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0228, loss_cls: 6.2551, loss_bbox: 2.8873, loss: 9.2181 2023-01-27 21:32:12,899 - mmdet - INFO - Epoch [7][3400/3696] lr: 6.000e-05, eta: 4:43:16, time: 0.910, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0236, loss_cls: 6.2788, loss_bbox: 2.8893, loss: 9.2461 2023-01-27 21:32:58,603 - mmdet - INFO - Epoch [7][3450/3696] lr: 6.000e-05, eta: 4:42:31, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0241, loss_cls: 6.2987, loss_bbox: 2.8763, loss: 9.2542 2023-01-27 21:33:44,823 - mmdet - INFO - Epoch [7][3500/3696] lr: 6.000e-05, eta: 4:41:46, time: 0.925, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0239, loss_cls: 6.2924, loss_bbox: 2.8717, loss: 9.2428 2023-01-27 21:34:29,432 - mmdet - INFO - Epoch [7][3550/3696] lr: 6.000e-05, eta: 4:41:01, time: 0.892, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0225, loss_cls: 6.2462, loss_bbox: 2.8968, loss: 9.2182 2023-01-27 21:35:15,394 - mmdet - INFO - Epoch [7][3600/3696] lr: 6.000e-05, eta: 4:40:16, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0239, loss_cls: 6.2923, loss_bbox: 2.8801, loss: 9.2505 2023-01-27 21:36:00,275 - mmdet - INFO - Epoch [7][3650/3696] lr: 6.000e-05, eta: 4:39:30, time: 0.898, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0233, loss_cls: 6.2709, loss_bbox: 2.8971, loss: 9.2452 2023-01-27 21:36:42,936 - mmdet - INFO - Saving checkpoint at 7 epochs 2023-01-27 21:37:34,401 - mmdet - INFO - Epoch [8][50/3696] lr: 6.000e-05, eta: 4:37:36, time: 0.970, data_time: 0.073, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0234, loss_cls: 6.2718, loss_bbox: 2.8778, loss: 9.2273 2023-01-27 21:38:19,689 - mmdet - INFO - Epoch [8][100/3696] lr: 6.000e-05, eta: 4:36:51, time: 0.906, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0234, loss_cls: 6.2698, loss_bbox: 2.8957, loss: 9.2434 2023-01-27 21:39:05,804 - mmdet - INFO - Epoch [8][150/3696] lr: 6.000e-05, eta: 4:36:06, time: 0.922, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0238, loss_cls: 6.2870, loss_bbox: 2.8826, loss: 9.2482 2023-01-27 21:39:51,827 - mmdet - INFO - Epoch [8][200/3696] lr: 6.000e-05, eta: 4:35:22, time: 0.920, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0236, loss_cls: 6.2816, loss_bbox: 2.8629, loss: 9.2223 2023-01-27 21:40:38,401 - mmdet - INFO - Epoch [8][250/3696] lr: 6.000e-05, eta: 4:34:38, time: 0.932, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0242, loss_cls: 6.2942, loss_bbox: 2.8565, loss: 9.2300 2023-01-27 21:41:24,107 - mmdet - INFO - Epoch [8][300/3696] lr: 6.000e-05, eta: 4:33:53, time: 0.914, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0236, loss_cls: 6.2757, loss_bbox: 2.8745, loss: 9.2278 2023-01-27 21:42:10,248 - mmdet - INFO - Epoch [8][350/3696] lr: 6.000e-05, eta: 4:33:08, time: 0.923, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0240, loss_cls: 6.2916, loss_bbox: 2.8637, loss: 9.2347 2023-01-27 21:42:56,529 - mmdet - INFO - Epoch [8][400/3696] lr: 6.000e-05, eta: 4:32:24, time: 0.926, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0241, loss_cls: 6.2901, loss_bbox: 2.8693, loss: 9.2391 2023-01-27 21:43:42,677 - mmdet - INFO - Epoch [8][450/3696] lr: 6.000e-05, eta: 4:31:39, time: 0.923, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0239, loss_cls: 6.2881, loss_bbox: 2.8664, loss: 9.2332 2023-01-27 21:44:28,258 - mmdet - INFO - Epoch [8][500/3696] lr: 6.000e-05, eta: 4:30:54, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0238, loss_cls: 6.2814, loss_bbox: 2.8918, loss: 9.2522 2023-01-27 21:45:14,033 - mmdet - INFO - Epoch [8][550/3696] lr: 6.000e-05, eta: 4:30:09, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0240, loss_cls: 6.2917, loss_bbox: 2.8680, loss: 9.2386 2023-01-27 21:45:59,999 - mmdet - INFO - Epoch [8][600/3696] lr: 6.000e-05, eta: 4:29:25, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0238, loss_cls: 6.2862, loss_bbox: 2.8677, loss: 9.2326 2023-01-27 21:46:46,414 - mmdet - INFO - Epoch [8][650/3696] lr: 6.000e-05, eta: 4:28:40, time: 0.928, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0236, loss_cls: 6.2712, loss_bbox: 2.8657, loss: 9.2144 2023-01-27 21:47:32,614 - mmdet - INFO - Epoch [8][700/3696] lr: 6.000e-05, eta: 4:27:56, time: 0.924, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0231, loss_cls: 6.2669, loss_bbox: 2.8839, loss: 9.2273 2023-01-27 21:48:17,736 - mmdet - INFO - Epoch [8][750/3696] lr: 6.000e-05, eta: 4:27:11, time: 0.902, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0229, loss_cls: 6.2627, loss_bbox: 2.8957, loss: 9.2341 2023-01-27 21:49:03,562 - mmdet - INFO - Epoch [8][800/3696] lr: 6.000e-05, eta: 4:26:26, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0233, loss_cls: 6.2696, loss_bbox: 2.8841, loss: 9.2308 2023-01-27 21:49:49,924 - mmdet - INFO - Epoch [8][850/3696] lr: 6.000e-05, eta: 4:25:41, time: 0.927, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0237, loss_cls: 6.2808, loss_bbox: 2.8727, loss: 9.2319 2023-01-27 21:50:36,011 - mmdet - INFO - Epoch [8][900/3696] lr: 6.000e-05, eta: 4:24:57, time: 0.922, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0232, loss_cls: 6.2676, loss_bbox: 2.8808, loss: 9.2255 2023-01-27 21:51:20,967 - mmdet - INFO - Epoch [8][950/3696] lr: 6.000e-05, eta: 4:24:11, time: 0.899, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0234, loss_cls: 6.2751, loss_bbox: 2.8827, loss: 9.2350 2023-01-27 21:52:06,746 - mmdet - INFO - Epoch [8][1000/3696] lr: 6.000e-05, eta: 4:23:26, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0239, loss_cls: 6.2885, loss_bbox: 2.8824, loss: 9.2494 2023-01-27 21:52:52,764 - mmdet - INFO - Epoch [8][1050/3696] lr: 6.000e-05, eta: 4:22:42, time: 0.920, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0233, loss_cls: 6.2707, loss_bbox: 2.8738, loss: 9.2214 2023-01-27 21:53:38,956 - mmdet - INFO - Epoch [8][1100/3696] lr: 6.000e-05, eta: 4:21:57, time: 0.924, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0234, loss_cls: 6.2662, loss_bbox: 2.8675, loss: 9.2110 2023-01-27 21:54:25,966 - mmdet - INFO - Epoch [8][1150/3696] lr: 6.000e-05, eta: 4:21:13, time: 0.940, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0240, loss_cls: 6.2809, loss_bbox: 2.8574, loss: 9.2171 2023-01-27 21:55:11,913 - mmdet - INFO - Epoch [8][1200/3696] lr: 6.000e-05, eta: 4:20:28, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0236, loss_cls: 6.2887, loss_bbox: 2.8787, loss: 9.2455 2023-01-27 21:55:57,841 - mmdet - INFO - Epoch [8][1250/3696] lr: 6.000e-05, eta: 4:19:44, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0234, loss_cls: 6.2799, loss_bbox: 2.8790, loss: 9.2360 2023-01-27 21:56:43,311 - mmdet - INFO - Epoch [8][1300/3696] lr: 6.000e-05, eta: 4:18:58, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0233, loss_cls: 6.2779, loss_bbox: 2.8766, loss: 9.2320 2023-01-27 21:57:29,878 - mmdet - INFO - Epoch [8][1350/3696] lr: 6.000e-05, eta: 4:18:14, time: 0.931, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0239, loss_cls: 6.2866, loss_bbox: 2.8661, loss: 9.2305 2023-01-27 21:58:15,806 - mmdet - INFO - Epoch [8][1400/3696] lr: 6.000e-05, eta: 4:17:29, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0236, loss_cls: 6.2751, loss_bbox: 2.8796, loss: 9.2327 2023-01-27 21:59:01,355 - mmdet - INFO - Epoch [8][1450/3696] lr: 6.000e-05, eta: 4:16:44, time: 0.911, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0231, loss_cls: 6.2713, loss_bbox: 2.8936, loss: 9.2411 2023-01-27 21:59:47,047 - mmdet - INFO - Epoch [8][1500/3696] lr: 6.000e-05, eta: 4:15:59, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0233, loss_cls: 6.2740, loss_bbox: 2.8786, loss: 9.2301 2023-01-27 22:00:33,135 - mmdet - INFO - Epoch [8][1550/3696] lr: 6.000e-05, eta: 4:15:15, time: 0.922, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0239, loss_cls: 6.2863, loss_bbox: 2.8638, loss: 9.2284 2023-01-27 22:01:18,742 - mmdet - INFO - Epoch [8][1600/3696] lr: 6.000e-05, eta: 4:14:30, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0234, loss_cls: 6.2697, loss_bbox: 2.8746, loss: 9.2217 2023-01-27 22:02:03,811 - mmdet - INFO - Epoch [8][1650/3696] lr: 6.000e-05, eta: 4:13:44, time: 0.901, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0232, loss_cls: 6.2783, loss_bbox: 2.8892, loss: 9.2442 2023-01-27 22:02:50,281 - mmdet - INFO - Epoch [8][1700/3696] lr: 6.000e-05, eta: 4:13:00, time: 0.929, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0236, loss_cls: 6.2788, loss_bbox: 2.8803, loss: 9.2371 2023-01-27 22:03:35,698 - mmdet - INFO - Epoch [8][1750/3696] lr: 6.000e-05, eta: 4:12:15, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0231, loss_cls: 6.2688, loss_bbox: 2.8963, loss: 9.2423 2023-01-27 22:04:21,619 - mmdet - INFO - Epoch [8][1800/3696] lr: 6.000e-05, eta: 4:11:30, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0232, loss_cls: 6.2669, loss_bbox: 2.8670, loss: 9.2104 2023-01-27 22:05:07,840 - mmdet - INFO - Epoch [8][1850/3696] lr: 6.000e-05, eta: 4:10:45, time: 0.924, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0233, loss_cls: 6.2739, loss_bbox: 2.8757, loss: 9.2266 2023-01-27 22:05:54,113 - mmdet - INFO - Epoch [8][1900/3696] lr: 6.000e-05, eta: 4:10:01, time: 0.926, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0234, loss_cls: 6.2729, loss_bbox: 2.8612, loss: 9.2119 2023-01-27 22:06:40,354 - mmdet - INFO - Epoch [8][1950/3696] lr: 6.000e-05, eta: 4:09:16, time: 0.925, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0237, loss_cls: 6.2758, loss_bbox: 2.8694, loss: 9.2236 2023-01-27 22:07:26,317 - mmdet - INFO - Epoch [8][2000/3696] lr: 6.000e-05, eta: 4:08:31, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0235, loss_cls: 6.2761, loss_bbox: 2.8820, loss: 9.2360 2023-01-27 22:08:12,991 - mmdet - INFO - Epoch [8][2050/3696] lr: 6.000e-05, eta: 4:07:47, time: 0.934, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0243, loss_cls: 6.3016, loss_bbox: 2.8660, loss: 9.2467 2023-01-27 22:08:58,728 - mmdet - INFO - Epoch [8][2100/3696] lr: 6.000e-05, eta: 4:07:02, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0237, loss_cls: 6.2808, loss_bbox: 2.8843, loss: 9.2432 2023-01-27 22:09:44,632 - mmdet - INFO - Epoch [8][2150/3696] lr: 6.000e-05, eta: 4:06:17, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0234, loss_cls: 6.2674, loss_bbox: 2.8713, loss: 9.2159 2023-01-27 22:10:30,422 - mmdet - INFO - Epoch [8][2200/3696] lr: 6.000e-05, eta: 4:05:32, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0231, loss_cls: 6.2737, loss_bbox: 2.8793, loss: 9.2296 2023-01-27 22:11:16,165 - mmdet - INFO - Epoch [8][2250/3696] lr: 6.000e-05, eta: 4:04:47, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0232, loss_cls: 6.2726, loss_bbox: 2.8802, loss: 9.2296 2023-01-27 22:12:02,331 - mmdet - INFO - Epoch [8][2300/3696] lr: 6.000e-05, eta: 4:04:02, time: 0.923, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0236, loss_cls: 6.2758, loss_bbox: 2.8703, loss: 9.2237 2023-01-27 22:12:47,627 - mmdet - INFO - Epoch [8][2350/3696] lr: 6.000e-05, eta: 4:03:17, time: 0.906, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0231, loss_cls: 6.2580, loss_bbox: 2.8816, loss: 9.2167 2023-01-27 22:13:33,836 - mmdet - INFO - Epoch [8][2400/3696] lr: 6.000e-05, eta: 4:02:32, time: 0.924, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0236, loss_cls: 6.2738, loss_bbox: 2.8660, loss: 9.2176 2023-01-27 22:14:19,914 - mmdet - INFO - Epoch [8][2450/3696] lr: 6.000e-05, eta: 4:01:48, time: 0.922, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0236, loss_cls: 6.2688, loss_bbox: 2.8597, loss: 9.2066 2023-01-27 22:15:06,426 - mmdet - INFO - Epoch [8][2500/3696] lr: 6.000e-05, eta: 4:01:03, time: 0.930, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0237, loss_cls: 6.2816, loss_bbox: 2.8640, loss: 9.2240 2023-01-27 22:15:53,541 - mmdet - INFO - Epoch [8][2550/3696] lr: 6.000e-05, eta: 4:00:19, time: 0.942, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0234, loss_cls: 6.2755, loss_bbox: 2.8952, loss: 9.2486 2023-01-27 22:16:39,376 - mmdet - INFO - Epoch [8][2600/3696] lr: 6.000e-05, eta: 3:59:34, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0237, loss_cls: 6.2781, loss_bbox: 2.8753, loss: 9.2321 2023-01-27 22:17:29,130 - mmdet - INFO - Epoch [8][2650/3696] lr: 6.000e-05, eta: 3:58:51, time: 0.995, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0231, loss_cls: 6.2662, loss_bbox: 2.8801, loss: 9.2223 2023-01-27 22:18:21,558 - mmdet - INFO - Epoch [8][2700/3696] lr: 6.000e-05, eta: 3:58:10, time: 1.048, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0238, loss_cls: 6.2886, loss_bbox: 2.8593, loss: 9.2261 2023-01-27 22:19:07,268 - mmdet - INFO - Epoch [8][2750/3696] lr: 6.000e-05, eta: 3:57:25, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0235, loss_cls: 6.2756, loss_bbox: 2.8778, loss: 9.2309 2023-01-27 22:19:52,925 - mmdet - INFO - Epoch [8][2800/3696] lr: 6.000e-05, eta: 3:56:40, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0237, loss_cls: 6.2812, loss_bbox: 2.8557, loss: 9.2154 2023-01-27 22:20:39,753 - mmdet - INFO - Epoch [8][2850/3696] lr: 6.000e-05, eta: 3:55:55, time: 0.937, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0243, loss_cls: 6.2994, loss_bbox: 2.8588, loss: 9.2380 2023-01-27 22:21:25,242 - mmdet - INFO - Epoch [8][2900/3696] lr: 6.000e-05, eta: 3:55:10, time: 0.910, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0231, loss_cls: 6.2590, loss_bbox: 2.8788, loss: 9.2138 2023-01-27 22:22:13,328 - mmdet - INFO - Epoch [8][2950/3696] lr: 6.000e-05, eta: 3:54:26, time: 0.962, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0235, loss_cls: 6.2816, loss_bbox: 2.8694, loss: 9.2286 2023-01-27 22:23:01,193 - mmdet - INFO - Epoch [8][3000/3696] lr: 6.000e-05, eta: 3:53:42, time: 0.957, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0238, loss_cls: 6.2896, loss_bbox: 2.8755, loss: 9.2434 2023-01-27 22:23:46,916 - mmdet - INFO - Epoch [8][3050/3696] lr: 6.000e-05, eta: 3:52:57, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0235, loss_cls: 6.2775, loss_bbox: 2.8706, loss: 9.2254 2023-01-27 22:24:32,598 - mmdet - INFO - Epoch [8][3100/3696] lr: 6.000e-05, eta: 3:52:12, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0235, loss_cls: 6.2674, loss_bbox: 2.8662, loss: 9.2110 2023-01-27 22:25:18,863 - mmdet - INFO - Epoch [8][3150/3696] lr: 6.000e-05, eta: 3:51:27, time: 0.925, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0239, loss_cls: 6.2824, loss_bbox: 2.8590, loss: 9.2201 2023-01-27 22:26:04,882 - mmdet - INFO - Epoch [8][3200/3696] lr: 6.000e-05, eta: 3:50:43, time: 0.921, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0239, loss_cls: 6.2794, loss_bbox: 2.8658, loss: 9.2231 2023-01-27 22:26:51,217 - mmdet - INFO - Epoch [8][3250/3696] lr: 6.000e-05, eta: 3:49:58, time: 0.927, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0241, loss_cls: 6.2943, loss_bbox: 2.8577, loss: 9.2304 2023-01-27 22:27:37,181 - mmdet - INFO - Epoch [8][3300/3696] lr: 6.000e-05, eta: 3:49:13, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0240, loss_cls: 6.2865, loss_bbox: 2.8563, loss: 9.2216 2023-01-27 22:28:23,207 - mmdet - INFO - Epoch [8][3350/3696] lr: 6.000e-05, eta: 3:48:28, time: 0.921, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0237, loss_cls: 6.2890, loss_bbox: 2.8549, loss: 9.2218 2023-01-27 22:29:09,519 - mmdet - INFO - Epoch [8][3400/3696] lr: 6.000e-05, eta: 3:47:43, time: 0.926, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0238, loss_cls: 6.2798, loss_bbox: 2.8670, loss: 9.2247 2023-01-27 22:29:54,853 - mmdet - INFO - Epoch [8][3450/3696] lr: 6.000e-05, eta: 3:46:58, time: 0.907, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0234, loss_cls: 6.2728, loss_bbox: 2.8825, loss: 9.2324 2023-01-27 22:30:41,030 - mmdet - INFO - Epoch [8][3500/3696] lr: 6.000e-05, eta: 3:46:13, time: 0.924, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0237, loss_cls: 6.2793, loss_bbox: 2.8536, loss: 9.2107 2023-01-27 22:31:26,884 - mmdet - INFO - Epoch [8][3550/3696] lr: 6.000e-05, eta: 3:45:28, time: 0.917, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0234, loss_cls: 6.2761, loss_bbox: 2.8752, loss: 9.2282 2023-01-27 22:32:11,747 - mmdet - INFO - Epoch [8][3600/3696] lr: 6.000e-05, eta: 3:44:42, time: 0.897, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0229, loss_cls: 6.2636, loss_bbox: 2.9004, loss: 9.2391 2023-01-27 22:32:58,272 - mmdet - INFO - Epoch [8][3650/3696] lr: 6.000e-05, eta: 3:43:58, time: 0.931, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0240, loss_cls: 6.2872, loss_bbox: 2.8576, loss: 9.2236 2023-01-27 22:33:40,847 - mmdet - INFO - Saving checkpoint at 8 epochs 2023-01-27 22:34:33,224 - mmdet - INFO - Epoch [9][50/3696] lr: 6.000e-06, eta: 3:42:12, time: 0.987, data_time: 0.073, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0239, loss_cls: 6.2768, loss_bbox: 2.8447, loss: 9.1996 2023-01-27 22:35:18,778 - mmdet - INFO - Epoch [9][100/3696] lr: 6.000e-06, eta: 3:41:27, time: 0.911, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0230, loss_cls: 6.2638, loss_bbox: 2.8653, loss: 9.2048 2023-01-27 22:36:04,544 - mmdet - INFO - Epoch [9][150/3696] lr: 6.000e-06, eta: 3:40:42, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0235, loss_cls: 6.2714, loss_bbox: 2.8572, loss: 9.2057 2023-01-27 22:36:49,718 - mmdet - INFO - Epoch [9][200/3696] lr: 6.000e-06, eta: 3:39:57, time: 0.903, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0230, loss_cls: 6.2517, loss_bbox: 2.8617, loss: 9.1895 2023-01-27 22:37:35,412 - mmdet - INFO - Epoch [9][250/3696] lr: 6.000e-06, eta: 3:39:12, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0235, loss_cls: 6.2673, loss_bbox: 2.8456, loss: 9.1901 2023-01-27 22:38:21,121 - mmdet - INFO - Epoch [9][300/3696] lr: 6.000e-06, eta: 3:38:27, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0235, loss_cls: 6.2646, loss_bbox: 2.8549, loss: 9.1965 2023-01-27 22:39:07,390 - mmdet - INFO - Epoch [9][350/3696] lr: 6.000e-06, eta: 3:37:42, time: 0.925, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0234, loss_cls: 6.2709, loss_bbox: 2.8510, loss: 9.1987 2023-01-27 22:39:53,681 - mmdet - INFO - Epoch [9][400/3696] lr: 6.000e-06, eta: 3:36:57, time: 0.926, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0237, loss_cls: 6.2761, loss_bbox: 2.8392, loss: 9.1933 2023-01-27 22:40:39,580 - mmdet - INFO - Epoch [9][450/3696] lr: 6.000e-06, eta: 3:36:12, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0235, loss_cls: 6.2657, loss_bbox: 2.8394, loss: 9.1823 2023-01-27 22:41:24,812 - mmdet - INFO - Epoch [9][500/3696] lr: 6.000e-06, eta: 3:35:27, time: 0.905, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0235, loss_cls: 6.2793, loss_bbox: 2.8531, loss: 9.2092 2023-01-27 22:42:10,769 - mmdet - INFO - Epoch [9][550/3696] lr: 6.000e-06, eta: 3:34:42, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0235, loss_cls: 6.2713, loss_bbox: 2.8495, loss: 9.1983 2023-01-27 22:42:57,132 - mmdet - INFO - Epoch [9][600/3696] lr: 6.000e-06, eta: 3:33:57, time: 0.927, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0233, loss_cls: 6.2634, loss_bbox: 2.8510, loss: 9.1912 2023-01-27 22:43:42,290 - mmdet - INFO - Epoch [9][650/3696] lr: 6.000e-06, eta: 3:33:12, time: 0.903, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0231, loss_cls: 6.2628, loss_bbox: 2.8732, loss: 9.2117 2023-01-27 22:44:27,720 - mmdet - INFO - Epoch [9][700/3696] lr: 6.000e-06, eta: 3:32:27, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0231, loss_cls: 6.2606, loss_bbox: 2.8571, loss: 9.1935 2023-01-27 22:45:13,709 - mmdet - INFO - Epoch [9][750/3696] lr: 6.000e-06, eta: 3:31:42, time: 0.920, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0234, loss_cls: 6.2646, loss_bbox: 2.8509, loss: 9.1917 2023-01-27 22:45:59,381 - mmdet - INFO - Epoch [9][800/3696] lr: 6.000e-06, eta: 3:30:57, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0234, loss_cls: 6.2672, loss_bbox: 2.8568, loss: 9.2015 2023-01-27 22:46:45,375 - mmdet - INFO - Epoch [9][850/3696] lr: 6.000e-06, eta: 3:30:12, time: 0.920, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0235, loss_cls: 6.2568, loss_bbox: 2.8568, loss: 9.1914 2023-01-27 22:47:30,925 - mmdet - INFO - Epoch [9][900/3696] lr: 6.000e-06, eta: 3:29:27, time: 0.911, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0238, loss_cls: 6.2681, loss_bbox: 2.8415, loss: 9.1874 2023-01-27 22:48:16,558 - mmdet - INFO - Epoch [9][950/3696] lr: 6.000e-06, eta: 3:28:42, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0232, loss_cls: 6.2588, loss_bbox: 2.8438, loss: 9.1793 2023-01-27 22:49:01,830 - mmdet - INFO - Epoch [9][1000/3696] lr: 6.000e-06, eta: 3:27:56, time: 0.905, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0234, loss_cls: 6.2723, loss_bbox: 2.8439, loss: 9.1932 2023-01-27 22:49:47,405 - mmdet - INFO - Epoch [9][1050/3696] lr: 6.000e-06, eta: 3:27:11, time: 0.911, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0238, loss_cls: 6.2870, loss_bbox: 2.8462, loss: 9.2103 2023-01-27 22:50:32,753 - mmdet - INFO - Epoch [9][1100/3696] lr: 6.000e-06, eta: 3:26:26, time: 0.907, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0235, loss_cls: 6.2642, loss_bbox: 2.8581, loss: 9.1993 2023-01-27 22:51:18,142 - mmdet - INFO - Epoch [9][1150/3696] lr: 6.000e-06, eta: 3:25:41, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0233, loss_cls: 6.2646, loss_bbox: 2.8602, loss: 9.2013 2023-01-27 22:52:03,745 - mmdet - INFO - Epoch [9][1200/3696] lr: 6.000e-06, eta: 3:24:56, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0234, loss_cls: 6.2720, loss_bbox: 2.8346, loss: 9.1839 2023-01-27 22:52:49,481 - mmdet - INFO - Epoch [9][1250/3696] lr: 6.000e-06, eta: 3:24:11, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0233, loss_cls: 6.2706, loss_bbox: 2.8597, loss: 9.2072 2023-01-27 22:53:34,535 - mmdet - INFO - Epoch [9][1300/3696] lr: 6.000e-06, eta: 3:23:25, time: 0.901, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0232, loss_cls: 6.2627, loss_bbox: 2.8645, loss: 9.2036 2023-01-27 22:54:20,419 - mmdet - INFO - Epoch [9][1350/3696] lr: 6.000e-06, eta: 3:22:40, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0236, loss_cls: 6.2638, loss_bbox: 2.8558, loss: 9.1971 2023-01-27 22:55:05,458 - mmdet - INFO - Epoch [9][1400/3696] lr: 6.000e-06, eta: 3:21:55, time: 0.901, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0232, loss_cls: 6.2621, loss_bbox: 2.8563, loss: 9.1952 2023-01-27 22:55:50,407 - mmdet - INFO - Epoch [9][1450/3696] lr: 6.000e-06, eta: 3:21:10, time: 0.899, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0230, loss_cls: 6.2588, loss_bbox: 2.8698, loss: 9.2044 2023-01-27 22:56:36,173 - mmdet - INFO - Epoch [9][1500/3696] lr: 6.000e-06, eta: 3:20:25, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0235, loss_cls: 6.2653, loss_bbox: 2.8557, loss: 9.1984 2023-01-27 22:57:21,912 - mmdet - INFO - Epoch [9][1550/3696] lr: 6.000e-06, eta: 3:19:40, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0237, loss_cls: 6.2758, loss_bbox: 2.8485, loss: 9.2023 2023-01-27 22:58:07,649 - mmdet - INFO - Epoch [9][1600/3696] lr: 6.000e-06, eta: 3:18:54, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0239, loss_cls: 6.2731, loss_bbox: 2.8422, loss: 9.1937 2023-01-27 22:58:53,674 - mmdet - INFO - Epoch [9][1650/3696] lr: 6.000e-06, eta: 3:18:10, time: 0.920, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0237, loss_cls: 6.2778, loss_bbox: 2.8384, loss: 9.1940 2023-01-27 22:59:39,898 - mmdet - INFO - Epoch [9][1700/3696] lr: 6.000e-06, eta: 3:17:25, time: 0.924, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0239, loss_cls: 6.2878, loss_bbox: 2.8440, loss: 9.2099 2023-01-27 23:00:25,221 - mmdet - INFO - Epoch [9][1750/3696] lr: 6.000e-06, eta: 3:16:39, time: 0.906, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0235, loss_cls: 6.2676, loss_bbox: 2.8673, loss: 9.2125 2023-01-27 23:01:11,284 - mmdet - INFO - Epoch [9][1800/3696] lr: 6.000e-06, eta: 3:15:55, time: 0.921, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0236, loss_cls: 6.2706, loss_bbox: 2.8467, loss: 9.1941 2023-01-27 23:01:57,549 - mmdet - INFO - Epoch [9][1850/3696] lr: 6.000e-06, eta: 3:15:10, time: 0.925, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0239, loss_cls: 6.2838, loss_bbox: 2.8495, loss: 9.2118 2023-01-27 23:02:42,783 - mmdet - INFO - Epoch [9][1900/3696] lr: 6.000e-06, eta: 3:14:24, time: 0.905, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0234, loss_cls: 6.2696, loss_bbox: 2.8613, loss: 9.2080 2023-01-27 23:03:28,510 - mmdet - INFO - Epoch [9][1950/3696] lr: 6.000e-06, eta: 3:13:39, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0237, loss_cls: 6.2744, loss_bbox: 2.8453, loss: 9.1971 2023-01-27 23:04:13,765 - mmdet - INFO - Epoch [9][2000/3696] lr: 6.000e-06, eta: 3:12:54, time: 0.905, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0233, loss_cls: 6.2688, loss_bbox: 2.8577, loss: 9.2038 2023-01-27 23:04:59,730 - mmdet - INFO - Epoch [9][2050/3696] lr: 6.000e-06, eta: 3:12:09, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0237, loss_cls: 6.2737, loss_bbox: 2.8483, loss: 9.1995 2023-01-27 23:05:44,699 - mmdet - INFO - Epoch [9][2100/3696] lr: 6.000e-06, eta: 3:11:24, time: 0.899, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0230, loss_cls: 6.2651, loss_bbox: 2.8694, loss: 9.2104 2023-01-27 23:06:30,737 - mmdet - INFO - Epoch [9][2150/3696] lr: 6.000e-06, eta: 3:10:39, time: 0.921, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0236, loss_cls: 6.2718, loss_bbox: 2.8477, loss: 9.1969 2023-01-27 23:07:16,814 - mmdet - INFO - Epoch [9][2200/3696] lr: 6.000e-06, eta: 3:09:54, time: 0.921, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0240, loss_cls: 6.2756, loss_bbox: 2.8150, loss: 9.1687 2023-01-27 23:08:02,634 - mmdet - INFO - Epoch [9][2250/3696] lr: 6.000e-06, eta: 3:09:09, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0237, loss_cls: 6.2721, loss_bbox: 2.8322, loss: 9.1818 2023-01-27 23:08:48,129 - mmdet - INFO - Epoch [9][2300/3696] lr: 6.000e-06, eta: 3:08:23, time: 0.910, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0232, loss_cls: 6.2644, loss_bbox: 2.8534, loss: 9.1939 2023-01-27 23:09:33,952 - mmdet - INFO - Epoch [9][2350/3696] lr: 6.000e-06, eta: 3:07:38, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0236, loss_cls: 6.2712, loss_bbox: 2.8496, loss: 9.1989 2023-01-27 23:10:19,529 - mmdet - INFO - Epoch [9][2400/3696] lr: 6.000e-06, eta: 3:06:53, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0233, loss_cls: 6.2728, loss_bbox: 2.8367, loss: 9.1855 2023-01-27 23:11:05,728 - mmdet - INFO - Epoch [9][2450/3696] lr: 6.000e-06, eta: 3:06:08, time: 0.924, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0236, loss_cls: 6.2687, loss_bbox: 2.8372, loss: 9.1833 2023-01-27 23:11:50,825 - mmdet - INFO - Epoch [9][2500/3696] lr: 6.000e-06, eta: 3:05:23, time: 0.902, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0231, loss_cls: 6.2674, loss_bbox: 2.8688, loss: 9.2124 2023-01-27 23:12:36,647 - mmdet - INFO - Epoch [9][2550/3696] lr: 6.000e-06, eta: 3:04:38, time: 0.916, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0241, loss_cls: 6.2861, loss_bbox: 2.8373, loss: 9.2022 2023-01-27 23:13:22,583 - mmdet - INFO - Epoch [9][2600/3696] lr: 6.000e-06, eta: 3:03:53, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0237, loss_cls: 6.2720, loss_bbox: 2.8399, loss: 9.1897 2023-01-27 23:14:08,065 - mmdet - INFO - Epoch [9][2650/3696] lr: 6.000e-06, eta: 3:03:08, time: 0.910, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0237, loss_cls: 6.2721, loss_bbox: 2.8530, loss: 9.2021 2023-01-27 23:14:54,312 - mmdet - INFO - Epoch [9][2700/3696] lr: 6.000e-06, eta: 3:02:23, time: 0.925, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0235, loss_cls: 6.2727, loss_bbox: 2.8487, loss: 9.1983 2023-01-27 23:15:40,206 - mmdet - INFO - Epoch [9][2750/3696] lr: 6.000e-06, eta: 3:01:38, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0236, loss_cls: 6.2711, loss_bbox: 2.8558, loss: 9.2045 2023-01-27 23:16:25,453 - mmdet - INFO - Epoch [9][2800/3696] lr: 6.000e-06, eta: 3:00:52, time: 0.905, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0231, loss_cls: 6.2675, loss_bbox: 2.8512, loss: 9.1944 2023-01-27 23:17:11,042 - mmdet - INFO - Epoch [9][2850/3696] lr: 6.000e-06, eta: 3:00:07, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0234, loss_cls: 6.2660, loss_bbox: 2.8470, loss: 9.1902 2023-01-27 23:17:56,259 - mmdet - INFO - Epoch [9][2900/3696] lr: 6.000e-06, eta: 2:59:22, time: 0.904, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0234, loss_cls: 6.2723, loss_bbox: 2.8543, loss: 9.2034 2023-01-27 23:18:41,866 - mmdet - INFO - Epoch [9][2950/3696] lr: 6.000e-06, eta: 2:58:37, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0230, loss_cls: 6.2656, loss_bbox: 2.8663, loss: 9.2074 2023-01-27 23:19:27,875 - mmdet - INFO - Epoch [9][3000/3696] lr: 6.000e-06, eta: 2:57:52, time: 0.920, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0231, loss_cls: 6.2620, loss_bbox: 2.8443, loss: 9.1824 2023-01-27 23:20:13,751 - mmdet - INFO - Epoch [9][3050/3696] lr: 6.000e-06, eta: 2:57:07, time: 0.918, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0234, loss_cls: 6.2672, loss_bbox: 2.8374, loss: 9.1818 2023-01-27 23:20:59,919 - mmdet - INFO - Epoch [9][3100/3696] lr: 6.000e-06, eta: 2:56:22, time: 0.923, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0236, loss_cls: 6.2718, loss_bbox: 2.8362, loss: 9.1853 2023-01-27 23:21:45,420 - mmdet - INFO - Epoch [9][3150/3696] lr: 6.000e-06, eta: 2:55:37, time: 0.910, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0235, loss_cls: 6.2720, loss_bbox: 2.8438, loss: 9.1928 2023-01-27 23:22:31,511 - mmdet - INFO - Epoch [9][3200/3696] lr: 6.000e-06, eta: 2:54:52, time: 0.922, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0238, loss_cls: 6.2742, loss_bbox: 2.8352, loss: 9.1873 2023-01-27 23:23:17,652 - mmdet - INFO - Epoch [9][3250/3696] lr: 6.000e-06, eta: 2:54:07, time: 0.923, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0241, loss_cls: 6.2776, loss_bbox: 2.8345, loss: 9.1908 2023-01-27 23:24:02,920 - mmdet - INFO - Epoch [9][3300/3696] lr: 6.000e-06, eta: 2:53:21, time: 0.905, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0233, loss_cls: 6.2692, loss_bbox: 2.8500, loss: 9.1953 2023-01-27 23:24:48,890 - mmdet - INFO - Epoch [9][3350/3696] lr: 6.000e-06, eta: 2:52:36, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0235, loss_cls: 6.2679, loss_bbox: 2.8401, loss: 9.1856 2023-01-27 23:25:34,841 - mmdet - INFO - Epoch [9][3400/3696] lr: 6.000e-06, eta: 2:51:51, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0239, loss_cls: 6.2722, loss_bbox: 2.8463, loss: 9.1971 2023-01-27 23:26:20,484 - mmdet - INFO - Epoch [9][3450/3696] lr: 6.000e-06, eta: 2:51:06, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0235, loss_cls: 6.2730, loss_bbox: 2.8434, loss: 9.1940 2023-01-27 23:27:06,257 - mmdet - INFO - Epoch [9][3500/3696] lr: 6.000e-06, eta: 2:50:21, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0234, loss_cls: 6.2622, loss_bbox: 2.8493, loss: 9.1883 2023-01-27 23:27:51,228 - mmdet - INFO - Epoch [9][3550/3696] lr: 6.000e-06, eta: 2:49:35, time: 0.899, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0230, loss_cls: 6.2514, loss_bbox: 2.8746, loss: 9.2018 2023-01-27 23:28:37,589 - mmdet - INFO - Epoch [9][3600/3696] lr: 6.000e-06, eta: 2:48:51, time: 0.927, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0239, loss_cls: 6.2783, loss_bbox: 2.8389, loss: 9.1951 2023-01-27 23:29:23,290 - mmdet - INFO - Epoch [9][3650/3696] lr: 6.000e-06, eta: 2:48:05, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0235, loss_cls: 6.2663, loss_bbox: 2.8374, loss: 9.1809 2023-01-27 23:30:06,397 - mmdet - INFO - Saving checkpoint at 9 epochs 2023-01-27 23:30:58,115 - mmdet - INFO - Epoch [10][50/3696] lr: 6.000e-06, eta: 2:46:26, time: 0.972, data_time: 0.072, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0238, loss_cls: 6.2745, loss_bbox: 2.8344, loss: 9.1869 2023-01-27 23:31:43,775 - mmdet - INFO - Epoch [10][100/3696] lr: 6.000e-06, eta: 2:45:41, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0237, loss_cls: 6.2761, loss_bbox: 2.8248, loss: 9.1791 2023-01-27 23:32:30,104 - mmdet - INFO - Epoch [10][150/3696] lr: 6.000e-06, eta: 2:44:56, time: 0.927, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0233, loss_cls: 6.2619, loss_bbox: 2.8512, loss: 9.1900 2023-01-27 23:33:15,516 - mmdet - INFO - Epoch [10][200/3696] lr: 6.000e-06, eta: 2:44:11, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0233, loss_cls: 6.2606, loss_bbox: 2.8589, loss: 9.1959 2023-01-27 23:34:01,431 - mmdet - INFO - Epoch [10][250/3696] lr: 6.000e-06, eta: 2:43:26, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0235, loss_cls: 6.2652, loss_bbox: 2.8458, loss: 9.1878 2023-01-27 23:34:47,313 - mmdet - INFO - Epoch [10][300/3696] lr: 6.000e-06, eta: 2:42:40, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0234, loss_cls: 6.2650, loss_bbox: 2.8339, loss: 9.1756 2023-01-27 23:35:33,724 - mmdet - INFO - Epoch [10][350/3696] lr: 6.000e-06, eta: 2:41:56, time: 0.928, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0241, loss_cls: 6.2814, loss_bbox: 2.8236, loss: 9.1847 2023-01-27 23:36:18,835 - mmdet - INFO - Epoch [10][400/3696] lr: 6.000e-06, eta: 2:41:10, time: 0.902, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0232, loss_cls: 6.2625, loss_bbox: 2.8539, loss: 9.1923 2023-01-27 23:37:04,113 - mmdet - INFO - Epoch [10][450/3696] lr: 6.000e-06, eta: 2:40:25, time: 0.906, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0232, loss_cls: 6.2525, loss_bbox: 2.8621, loss: 9.1906 2023-01-27 23:37:49,967 - mmdet - INFO - Epoch [10][500/3696] lr: 6.000e-06, eta: 2:39:40, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0232, loss_cls: 6.2632, loss_bbox: 2.8347, loss: 9.1744 2023-01-27 23:38:36,021 - mmdet - INFO - Epoch [10][550/3696] lr: 6.000e-06, eta: 2:38:55, time: 0.921, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0242, loss_cls: 6.2908, loss_bbox: 2.8416, loss: 9.2115 2023-01-27 23:39:21,772 - mmdet - INFO - Epoch [10][600/3696] lr: 6.000e-06, eta: 2:38:10, time: 0.915, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0236, loss_cls: 6.2627, loss_bbox: 2.8449, loss: 9.1852 2023-01-27 23:40:08,256 - mmdet - INFO - Epoch [10][650/3696] lr: 6.000e-06, eta: 2:37:25, time: 0.930, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0238, loss_cls: 6.2757, loss_bbox: 2.8310, loss: 9.1850 2023-01-27 23:40:53,874 - mmdet - INFO - Epoch [10][700/3696] lr: 6.000e-06, eta: 2:36:40, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0234, loss_cls: 6.2618, loss_bbox: 2.8362, loss: 9.1754 2023-01-27 23:41:39,817 - mmdet - INFO - Epoch [10][750/3696] lr: 6.000e-06, eta: 2:35:55, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0236, loss_cls: 6.2710, loss_bbox: 2.8412, loss: 9.1899 2023-01-27 23:42:26,153 - mmdet - INFO - Epoch [10][800/3696] lr: 6.000e-06, eta: 2:35:10, time: 0.927, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0236, loss_cls: 6.2691, loss_bbox: 2.8342, loss: 9.1800 2023-01-27 23:43:10,836 - mmdet - INFO - Epoch [10][850/3696] lr: 6.000e-06, eta: 2:34:25, time: 0.894, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0232, loss_cls: 6.2636, loss_bbox: 2.8781, loss: 9.2185 2023-01-27 23:43:56,342 - mmdet - INFO - Epoch [10][900/3696] lr: 6.000e-06, eta: 2:33:39, time: 0.910, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0232, loss_cls: 6.2621, loss_bbox: 2.8464, loss: 9.1847 2023-01-27 23:44:41,935 - mmdet - INFO - Epoch [10][950/3696] lr: 6.000e-06, eta: 2:32:54, time: 0.912, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0234, loss_cls: 6.2626, loss_bbox: 2.8457, loss: 9.1854 2023-01-27 23:45:27,065 - mmdet - INFO - Epoch [10][1000/3696] lr: 6.000e-06, eta: 2:32:09, time: 0.903, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0237, loss_cls: 6.2823, loss_bbox: 2.8421, loss: 9.2017 2023-01-27 23:46:12,452 - mmdet - INFO - Epoch [10][1050/3696] lr: 6.000e-06, eta: 2:31:24, time: 0.908, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0235, loss_cls: 6.2739, loss_bbox: 2.8409, loss: 9.1922 2023-01-27 23:46:57,801 - mmdet - INFO - Epoch [10][1100/3696] lr: 6.000e-06, eta: 2:30:39, time: 0.907, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0227, loss_cls: 6.2564, loss_bbox: 2.8684, loss: 9.1994 2023-01-27 23:47:43,647 - mmdet - INFO - Epoch [10][1150/3696] lr: 6.000e-06, eta: 2:29:53, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0232, loss_cls: 6.2652, loss_bbox: 2.8431, loss: 9.1842 2023-01-27 23:48:29,266 - mmdet - INFO - Epoch [10][1200/3696] lr: 6.000e-06, eta: 2:29:08, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0230, loss_cls: 6.2547, loss_bbox: 2.8342, loss: 9.1654 2023-01-27 23:49:14,688 - mmdet - INFO - Epoch [10][1250/3696] lr: 6.000e-06, eta: 2:28:23, time: 0.908, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0231, loss_cls: 6.2605, loss_bbox: 2.8600, loss: 9.1963 2023-01-27 23:50:00,300 - mmdet - INFO - Epoch [10][1300/3696] lr: 6.000e-06, eta: 2:27:38, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0236, loss_cls: 6.2710, loss_bbox: 2.8489, loss: 9.1974 2023-01-27 23:50:45,503 - mmdet - INFO - Epoch [10][1350/3696] lr: 6.000e-06, eta: 2:26:53, time: 0.904, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0235, loss_cls: 6.2665, loss_bbox: 2.8450, loss: 9.1886 2023-01-27 23:51:30,628 - mmdet - INFO - Epoch [10][1400/3696] lr: 6.000e-06, eta: 2:26:07, time: 0.902, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0235, loss_cls: 6.2725, loss_bbox: 2.8509, loss: 9.2001 2023-01-27 23:52:16,345 - mmdet - INFO - Epoch [10][1450/3696] lr: 6.000e-06, eta: 2:25:22, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0239, loss_cls: 6.2804, loss_bbox: 2.8458, loss: 9.2047 2023-01-27 23:53:02,227 - mmdet - INFO - Epoch [10][1500/3696] lr: 6.000e-06, eta: 2:24:37, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0236, loss_cls: 6.2714, loss_bbox: 2.8446, loss: 9.1936 2023-01-27 23:53:48,123 - mmdet - INFO - Epoch [10][1550/3696] lr: 6.000e-06, eta: 2:23:52, time: 0.918, data_time: 0.019, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0235, loss_cls: 6.2597, loss_bbox: 2.8488, loss: 9.1864 2023-01-27 23:54:33,685 - mmdet - INFO - Epoch [10][1600/3696] lr: 6.000e-06, eta: 2:23:07, time: 0.911, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0232, loss_cls: 6.2573, loss_bbox: 2.8530, loss: 9.1870 2023-01-27 23:55:19,076 - mmdet - INFO - Epoch [10][1650/3696] lr: 6.000e-06, eta: 2:22:22, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0233, loss_cls: 6.2683, loss_bbox: 2.8511, loss: 9.1959 2023-01-27 23:56:04,795 - mmdet - INFO - Epoch [10][1700/3696] lr: 6.000e-06, eta: 2:21:37, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0238, loss_cls: 6.2788, loss_bbox: 2.8445, loss: 9.2014 2023-01-27 23:56:50,726 - mmdet - INFO - Epoch [10][1750/3696] lr: 6.000e-06, eta: 2:20:52, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0238, loss_cls: 6.2729, loss_bbox: 2.8286, loss: 9.1797 2023-01-27 23:57:36,456 - mmdet - INFO - Epoch [10][1800/3696] lr: 6.000e-06, eta: 2:20:06, time: 0.915, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0230, loss_cls: 6.2543, loss_bbox: 2.8547, loss: 9.1850 2023-01-27 23:58:22,526 - mmdet - INFO - Epoch [10][1850/3696] lr: 6.000e-06, eta: 2:19:21, time: 0.921, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0239, loss_cls: 6.2784, loss_bbox: 2.8317, loss: 9.1888 2023-01-27 23:59:08,379 - mmdet - INFO - Epoch [10][1900/3696] lr: 6.000e-06, eta: 2:18:36, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0237, loss_cls: 6.2713, loss_bbox: 2.8526, loss: 9.2019 2023-01-27 23:59:53,506 - mmdet - INFO - Epoch [10][1950/3696] lr: 6.000e-06, eta: 2:17:51, time: 0.903, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0233, loss_cls: 6.2548, loss_bbox: 2.8477, loss: 9.1789 2023-01-28 00:00:38,932 - mmdet - INFO - Epoch [10][2000/3696] lr: 6.000e-06, eta: 2:17:06, time: 0.908, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0237, loss_cls: 6.2788, loss_bbox: 2.8518, loss: 9.2085 2023-01-28 00:01:25,079 - mmdet - INFO - Epoch [10][2050/3696] lr: 6.000e-06, eta: 2:16:21, time: 0.923, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0236, loss_cls: 6.2747, loss_bbox: 2.8382, loss: 9.1906 2023-01-28 00:02:10,510 - mmdet - INFO - Epoch [10][2100/3696] lr: 6.000e-06, eta: 2:15:36, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0231, loss_cls: 6.2570, loss_bbox: 2.8539, loss: 9.1866 2023-01-28 00:02:55,945 - mmdet - INFO - Epoch [10][2150/3696] lr: 6.000e-06, eta: 2:14:50, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0232, loss_cls: 6.2565, loss_bbox: 2.8620, loss: 9.1950 2023-01-28 00:03:41,695 - mmdet - INFO - Epoch [10][2200/3696] lr: 6.000e-06, eta: 2:14:05, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0235, loss_cls: 6.2758, loss_bbox: 2.8518, loss: 9.2055 2023-01-28 00:04:27,524 - mmdet - INFO - Epoch [10][2250/3696] lr: 6.000e-06, eta: 2:13:20, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0236, loss_cls: 6.2677, loss_bbox: 2.8432, loss: 9.1889 2023-01-28 00:05:13,244 - mmdet - INFO - Epoch [10][2300/3696] lr: 6.000e-06, eta: 2:12:35, time: 0.914, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0235, loss_cls: 6.2648, loss_bbox: 2.8409, loss: 9.1824 2023-01-28 00:05:58,989 - mmdet - INFO - Epoch [10][2350/3696] lr: 6.000e-06, eta: 2:11:50, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0239, loss_cls: 6.2741, loss_bbox: 2.8340, loss: 9.1860 2023-01-28 00:06:44,452 - mmdet - INFO - Epoch [10][2400/3696] lr: 6.000e-06, eta: 2:11:05, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0234, loss_cls: 6.2696, loss_bbox: 2.8639, loss: 9.2099 2023-01-28 00:07:30,300 - mmdet - INFO - Epoch [10][2450/3696] lr: 6.000e-06, eta: 2:10:19, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0235, loss_cls: 6.2695, loss_bbox: 2.8388, loss: 9.1852 2023-01-28 00:08:16,800 - mmdet - INFO - Epoch [10][2500/3696] lr: 6.000e-06, eta: 2:09:34, time: 0.930, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0236, loss_cls: 6.2715, loss_bbox: 2.8310, loss: 9.1797 2023-01-28 00:09:02,725 - mmdet - INFO - Epoch [10][2550/3696] lr: 6.000e-06, eta: 2:08:49, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0239, loss_cls: 6.2725, loss_bbox: 2.8376, loss: 9.1887 2023-01-28 00:09:48,086 - mmdet - INFO - Epoch [10][2600/3696] lr: 6.000e-06, eta: 2:08:04, time: 0.907, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0231, loss_cls: 6.2631, loss_bbox: 2.8606, loss: 9.1996 2023-01-28 00:10:33,438 - mmdet - INFO - Epoch [10][2650/3696] lr: 6.000e-06, eta: 2:07:19, time: 0.907, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0230, loss_cls: 6.2625, loss_bbox: 2.8467, loss: 9.1845 2023-01-28 00:11:18,525 - mmdet - INFO - Epoch [10][2700/3696] lr: 6.000e-06, eta: 2:06:34, time: 0.902, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0228, loss_cls: 6.2599, loss_bbox: 2.8509, loss: 9.1859 2023-01-28 00:12:03,771 - mmdet - INFO - Epoch [10][2750/3696] lr: 6.000e-06, eta: 2:05:48, time: 0.905, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0236, loss_cls: 6.2804, loss_bbox: 2.8511, loss: 9.2081 2023-01-28 00:12:49,160 - mmdet - INFO - Epoch [10][2800/3696] lr: 6.000e-06, eta: 2:05:03, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0233, loss_cls: 6.2659, loss_bbox: 2.8461, loss: 9.1885 2023-01-28 00:13:36,043 - mmdet - INFO - Epoch [10][2850/3696] lr: 6.000e-06, eta: 2:04:18, time: 0.938, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0245, loss_cls: 6.2883, loss_bbox: 2.8175, loss: 9.1854 2023-01-28 00:14:22,159 - mmdet - INFO - Epoch [10][2900/3696] lr: 6.000e-06, eta: 2:03:33, time: 0.922, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0235, loss_cls: 6.2627, loss_bbox: 2.8499, loss: 9.1898 2023-01-28 00:15:08,331 - mmdet - INFO - Epoch [10][2950/3696] lr: 6.000e-06, eta: 2:02:48, time: 0.923, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0237, loss_cls: 6.2713, loss_bbox: 2.8467, loss: 9.1955 2023-01-28 00:15:54,153 - mmdet - INFO - Epoch [10][3000/3696] lr: 6.000e-06, eta: 2:02:03, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0239, loss_cls: 6.2825, loss_bbox: 2.8326, loss: 9.1938 2023-01-28 00:16:40,579 - mmdet - INFO - Epoch [10][3050/3696] lr: 6.000e-06, eta: 2:01:18, time: 0.929, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0238, loss_cls: 6.2841, loss_bbox: 2.8284, loss: 9.1894 2023-01-28 00:17:26,694 - mmdet - INFO - Epoch [10][3100/3696] lr: 6.000e-06, eta: 2:00:33, time: 0.922, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0240, loss_cls: 6.2748, loss_bbox: 2.8395, loss: 9.1931 2023-01-28 00:18:13,353 - mmdet - INFO - Epoch [10][3150/3696] lr: 6.000e-06, eta: 1:59:48, time: 0.933, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0235, loss_cls: 6.2659, loss_bbox: 2.8410, loss: 9.1844 2023-01-28 00:18:58,472 - mmdet - INFO - Epoch [10][3200/3696] lr: 6.000e-06, eta: 1:59:02, time: 0.902, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0235, loss_cls: 6.2620, loss_bbox: 2.8476, loss: 9.1868 2023-01-28 00:19:44,335 - mmdet - INFO - Epoch [10][3250/3696] lr: 6.000e-06, eta: 1:58:17, time: 0.917, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0234, loss_cls: 6.2597, loss_bbox: 2.8409, loss: 9.1776 2023-01-28 00:20:30,146 - mmdet - INFO - Epoch [10][3300/3696] lr: 6.000e-06, eta: 1:57:32, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0233, loss_cls: 6.2619, loss_bbox: 2.8437, loss: 9.1822 2023-01-28 00:21:17,776 - mmdet - INFO - Epoch [10][3350/3696] lr: 6.000e-06, eta: 1:56:47, time: 0.953, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0230, loss_cls: 6.2627, loss_bbox: 2.8529, loss: 9.1910 2023-01-28 00:22:03,171 - mmdet - INFO - Epoch [10][3400/3696] lr: 6.000e-06, eta: 1:56:02, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0234, loss_cls: 6.2670, loss_bbox: 2.8622, loss: 9.2063 2023-01-28 00:22:50,517 - mmdet - INFO - Epoch [10][3450/3696] lr: 6.000e-06, eta: 1:55:17, time: 0.947, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0235, loss_cls: 6.2720, loss_bbox: 2.8315, loss: 9.1801 2023-01-28 00:23:42,470 - mmdet - INFO - Epoch [10][3500/3696] lr: 6.000e-06, eta: 1:54:33, time: 1.039, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0237, loss_cls: 6.2772, loss_bbox: 2.8454, loss: 9.1998 2023-01-28 00:24:30,481 - mmdet - INFO - Epoch [10][3550/3696] lr: 6.000e-06, eta: 1:53:49, time: 0.960, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0231, loss_cls: 6.2572, loss_bbox: 2.8525, loss: 9.1855 2023-01-28 00:25:16,077 - mmdet - INFO - Epoch [10][3600/3696] lr: 6.000e-06, eta: 1:53:03, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0230, loss_cls: 6.2555, loss_bbox: 2.8516, loss: 9.1829 2023-01-28 00:26:02,897 - mmdet - INFO - Epoch [10][3650/3696] lr: 6.000e-06, eta: 1:52:18, time: 0.936, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0237, loss_cls: 6.2712, loss_bbox: 2.8254, loss: 9.1735 2023-01-28 00:26:45,036 - mmdet - INFO - Saving checkpoint at 10 epochs 2023-01-28 00:27:39,438 - mmdet - INFO - Epoch [11][50/3696] lr: 6.000e-06, eta: 1:50:44, time: 1.026, data_time: 0.072, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0239, loss_cls: 6.2746, loss_bbox: 2.8236, loss: 9.1765 2023-01-28 00:28:26,885 - mmdet - INFO - Epoch [11][100/3696] lr: 6.000e-06, eta: 1:49:59, time: 0.949, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0233, loss_cls: 6.2627, loss_bbox: 2.8564, loss: 9.1956 2023-01-28 00:29:13,098 - mmdet - INFO - Epoch [11][150/3696] lr: 6.000e-06, eta: 1:49:14, time: 0.924, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0238, loss_cls: 6.2779, loss_bbox: 2.8385, loss: 9.1944 2023-01-28 00:29:58,987 - mmdet - INFO - Epoch [11][200/3696] lr: 6.000e-06, eta: 1:48:29, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0235, loss_cls: 6.2562, loss_bbox: 2.8586, loss: 9.1916 2023-01-28 00:30:45,179 - mmdet - INFO - Epoch [11][250/3696] lr: 6.000e-06, eta: 1:47:44, time: 0.924, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0236, loss_cls: 6.2679, loss_bbox: 2.8314, loss: 9.1772 2023-01-28 00:31:31,240 - mmdet - INFO - Epoch [11][300/3696] lr: 6.000e-06, eta: 1:46:59, time: 0.921, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0237, loss_cls: 6.2743, loss_bbox: 2.8548, loss: 9.2070 2023-01-28 00:32:16,855 - mmdet - INFO - Epoch [11][350/3696] lr: 6.000e-06, eta: 1:46:14, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0233, loss_cls: 6.2630, loss_bbox: 2.8579, loss: 9.1975 2023-01-28 00:33:02,483 - mmdet - INFO - Epoch [11][400/3696] lr: 6.000e-06, eta: 1:45:29, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0237, loss_cls: 6.2675, loss_bbox: 2.8492, loss: 9.1944 2023-01-28 00:33:49,131 - mmdet - INFO - Epoch [11][450/3696] lr: 6.000e-06, eta: 1:44:44, time: 0.933, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0235, loss_cls: 6.2607, loss_bbox: 2.8219, loss: 9.1598 2023-01-28 00:34:34,875 - mmdet - INFO - Epoch [11][500/3696] lr: 6.000e-06, eta: 1:43:59, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0236, loss_cls: 6.2637, loss_bbox: 2.8458, loss: 9.1871 2023-01-28 00:35:20,644 - mmdet - INFO - Epoch [11][550/3696] lr: 6.000e-06, eta: 1:43:13, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0236, loss_cls: 6.2638, loss_bbox: 2.8441, loss: 9.1850 2023-01-28 00:36:06,275 - mmdet - INFO - Epoch [11][600/3696] lr: 6.000e-06, eta: 1:42:28, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0234, loss_cls: 6.2661, loss_bbox: 2.8532, loss: 9.1962 2023-01-28 00:36:52,304 - mmdet - INFO - Epoch [11][650/3696] lr: 6.000e-06, eta: 1:41:43, time: 0.921, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0237, loss_cls: 6.2718, loss_bbox: 2.8392, loss: 9.1888 2023-01-28 00:37:37,773 - mmdet - INFO - Epoch [11][700/3696] lr: 6.000e-06, eta: 1:40:58, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0235, loss_cls: 6.2618, loss_bbox: 2.8435, loss: 9.1821 2023-01-28 00:38:23,006 - mmdet - INFO - Epoch [11][750/3696] lr: 6.000e-06, eta: 1:40:13, time: 0.905, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0233, loss_cls: 6.2611, loss_bbox: 2.8643, loss: 9.2021 2023-01-28 00:39:08,420 - mmdet - INFO - Epoch [11][800/3696] lr: 6.000e-06, eta: 1:39:27, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0234, loss_cls: 6.2622, loss_bbox: 2.8586, loss: 9.1974 2023-01-28 00:39:54,260 - mmdet - INFO - Epoch [11][850/3696] lr: 6.000e-06, eta: 1:38:42, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0234, loss_cls: 6.2628, loss_bbox: 2.8366, loss: 9.1766 2023-01-28 00:40:40,016 - mmdet - INFO - Epoch [11][900/3696] lr: 6.000e-06, eta: 1:37:57, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0231, loss_cls: 6.2594, loss_bbox: 2.8450, loss: 9.1803 2023-01-28 00:41:25,658 - mmdet - INFO - Epoch [11][950/3696] lr: 6.000e-06, eta: 1:37:12, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0233, loss_cls: 6.2706, loss_bbox: 2.8360, loss: 9.1829 2023-01-28 00:42:11,815 - mmdet - INFO - Epoch [11][1000/3696] lr: 6.000e-06, eta: 1:36:27, time: 0.923, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0234, loss_cls: 6.2689, loss_bbox: 2.8377, loss: 9.1836 2023-01-28 00:42:57,220 - mmdet - INFO - Epoch [11][1050/3696] lr: 6.000e-06, eta: 1:35:41, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0231, loss_cls: 6.2570, loss_bbox: 2.8546, loss: 9.1880 2023-01-28 00:43:42,761 - mmdet - INFO - Epoch [11][1100/3696] lr: 6.000e-06, eta: 1:34:56, time: 0.911, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0233, loss_cls: 6.2654, loss_bbox: 2.8475, loss: 9.1893 2023-01-28 00:44:28,603 - mmdet - INFO - Epoch [11][1150/3696] lr: 6.000e-06, eta: 1:34:11, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0237, loss_cls: 6.2680, loss_bbox: 2.8486, loss: 9.1942 2023-01-28 00:45:14,389 - mmdet - INFO - Epoch [11][1200/3696] lr: 6.000e-06, eta: 1:33:26, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0232, loss_cls: 6.2639, loss_bbox: 2.8371, loss: 9.1767 2023-01-28 00:46:00,759 - mmdet - INFO - Epoch [11][1250/3696] lr: 6.000e-06, eta: 1:32:41, time: 0.927, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0237, loss_cls: 6.2788, loss_bbox: 2.8409, loss: 9.1979 2023-01-28 00:46:46,427 - mmdet - INFO - Epoch [11][1300/3696] lr: 6.000e-06, eta: 1:31:56, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0236, loss_cls: 6.2640, loss_bbox: 2.8398, loss: 9.1815 2023-01-28 00:47:33,002 - mmdet - INFO - Epoch [11][1350/3696] lr: 6.000e-06, eta: 1:31:10, time: 0.932, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0241, loss_cls: 6.2804, loss_bbox: 2.8253, loss: 9.1842 2023-01-28 00:48:18,883 - mmdet - INFO - Epoch [11][1400/3696] lr: 6.000e-06, eta: 1:30:25, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0238, loss_cls: 6.2726, loss_bbox: 2.8295, loss: 9.1799 2023-01-28 00:49:04,596 - mmdet - INFO - Epoch [11][1450/3696] lr: 6.000e-06, eta: 1:29:40, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0231, loss_cls: 6.2562, loss_bbox: 2.8521, loss: 9.1841 2023-01-28 00:49:50,411 - mmdet - INFO - Epoch [11][1500/3696] lr: 6.000e-06, eta: 1:28:55, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0235, loss_cls: 6.2664, loss_bbox: 2.8459, loss: 9.1892 2023-01-28 00:50:35,437 - mmdet - INFO - Epoch [11][1550/3696] lr: 6.000e-06, eta: 1:28:10, time: 0.901, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0229, loss_cls: 6.2518, loss_bbox: 2.8589, loss: 9.1858 2023-01-28 00:51:21,374 - mmdet - INFO - Epoch [11][1600/3696] lr: 6.000e-06, eta: 1:27:24, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0237, loss_cls: 6.2696, loss_bbox: 2.8395, loss: 9.1872 2023-01-28 00:52:06,986 - mmdet - INFO - Epoch [11][1650/3696] lr: 6.000e-06, eta: 1:26:39, time: 0.912, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0233, loss_cls: 6.2620, loss_bbox: 2.8462, loss: 9.1846 2023-01-28 00:52:52,584 - mmdet - INFO - Epoch [11][1700/3696] lr: 6.000e-06, eta: 1:25:54, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0235, loss_cls: 6.2668, loss_bbox: 2.8500, loss: 9.1943 2023-01-28 00:53:38,533 - mmdet - INFO - Epoch [11][1750/3696] lr: 6.000e-06, eta: 1:25:09, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0235, loss_cls: 6.2694, loss_bbox: 2.8415, loss: 9.1884 2023-01-28 00:54:23,962 - mmdet - INFO - Epoch [11][1800/3696] lr: 6.000e-06, eta: 1:24:23, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0233, loss_cls: 6.2615, loss_bbox: 2.8485, loss: 9.1871 2023-01-28 00:55:09,322 - mmdet - INFO - Epoch [11][1850/3696] lr: 6.000e-06, eta: 1:23:38, time: 0.907, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0233, loss_cls: 6.2678, loss_bbox: 2.8496, loss: 9.1939 2023-01-28 00:55:54,820 - mmdet - INFO - Epoch [11][1900/3696] lr: 6.000e-06, eta: 1:22:53, time: 0.910, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0236, loss_cls: 6.2663, loss_bbox: 2.8458, loss: 9.1898 2023-01-28 00:56:39,725 - mmdet - INFO - Epoch [11][1950/3696] lr: 6.000e-06, eta: 1:22:08, time: 0.898, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0234, loss_cls: 6.2717, loss_bbox: 2.8615, loss: 9.2092 2023-01-28 00:57:25,121 - mmdet - INFO - Epoch [11][2000/3696] lr: 6.000e-06, eta: 1:21:22, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0236, loss_cls: 6.2685, loss_bbox: 2.8424, loss: 9.1884 2023-01-28 00:58:10,625 - mmdet - INFO - Epoch [11][2050/3696] lr: 6.000e-06, eta: 1:20:37, time: 0.910, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0236, loss_cls: 6.2781, loss_bbox: 2.8420, loss: 9.1973 2023-01-28 00:58:56,253 - mmdet - INFO - Epoch [11][2100/3696] lr: 6.000e-06, eta: 1:19:52, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0237, loss_cls: 6.2764, loss_bbox: 2.8303, loss: 9.1841 2023-01-28 00:59:42,248 - mmdet - INFO - Epoch [11][2150/3696] lr: 6.000e-06, eta: 1:19:07, time: 0.920, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0238, loss_cls: 6.2687, loss_bbox: 2.8304, loss: 9.1765 2023-01-28 01:00:28,983 - mmdet - INFO - Epoch [11][2200/3696] lr: 6.000e-06, eta: 1:18:22, time: 0.935, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0239, loss_cls: 6.2726, loss_bbox: 2.8220, loss: 9.1724 2023-01-28 01:01:14,450 - mmdet - INFO - Epoch [11][2250/3696] lr: 6.000e-06, eta: 1:17:36, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0232, loss_cls: 6.2649, loss_bbox: 2.8460, loss: 9.1866 2023-01-28 01:02:00,243 - mmdet - INFO - Epoch [11][2300/3696] lr: 6.000e-06, eta: 1:16:51, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0234, loss_cls: 6.2674, loss_bbox: 2.8353, loss: 9.1797 2023-01-28 01:02:45,672 - mmdet - INFO - Epoch [11][2350/3696] lr: 6.000e-06, eta: 1:16:06, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0235, loss_cls: 6.2600, loss_bbox: 2.8334, loss: 9.1706 2023-01-28 01:03:31,356 - mmdet - INFO - Epoch [11][2400/3696] lr: 6.000e-06, eta: 1:15:21, time: 0.914, data_time: 0.018, memory: 14590, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0230, loss_cls: 6.2657, loss_bbox: 2.8570, loss: 9.1987 2023-01-28 01:04:17,101 - mmdet - INFO - Epoch [11][2450/3696] lr: 6.000e-06, eta: 1:14:35, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0235, loss_cls: 6.2623, loss_bbox: 2.8378, loss: 9.1770 2023-01-28 01:05:02,731 - mmdet - INFO - Epoch [11][2500/3696] lr: 6.000e-06, eta: 1:13:50, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0237, loss_cls: 6.2814, loss_bbox: 2.8400, loss: 9.1984 2023-01-28 01:05:48,173 - mmdet - INFO - Epoch [11][2550/3696] lr: 6.000e-06, eta: 1:13:05, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0235, loss_cls: 6.2664, loss_bbox: 2.8447, loss: 9.1881 2023-01-28 01:06:33,897 - mmdet - INFO - Epoch [11][2600/3696] lr: 6.000e-06, eta: 1:12:20, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0236, loss_cls: 6.2686, loss_bbox: 2.8398, loss: 9.1854 2023-01-28 01:07:19,434 - mmdet - INFO - Epoch [11][2650/3696] lr: 6.000e-06, eta: 1:11:34, time: 0.911, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0234, loss_cls: 6.2656, loss_bbox: 2.8545, loss: 9.1974 2023-01-28 01:08:05,237 - mmdet - INFO - Epoch [11][2700/3696] lr: 6.000e-06, eta: 1:10:49, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0237, loss_cls: 6.2721, loss_bbox: 2.8360, loss: 9.1857 2023-01-28 01:08:51,026 - mmdet - INFO - Epoch [11][2750/3696] lr: 6.000e-06, eta: 1:10:04, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0235, loss_cls: 6.2612, loss_bbox: 2.8435, loss: 9.1817 2023-01-28 01:09:36,546 - mmdet - INFO - Epoch [11][2800/3696] lr: 6.000e-06, eta: 1:09:19, time: 0.910, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0234, loss_cls: 6.2687, loss_bbox: 2.8418, loss: 9.1874 2023-01-28 01:10:21,924 - mmdet - INFO - Epoch [11][2850/3696] lr: 6.000e-06, eta: 1:08:33, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0235, loss_cls: 6.2712, loss_bbox: 2.8541, loss: 9.2023 2023-01-28 01:11:07,573 - mmdet - INFO - Epoch [11][2900/3696] lr: 6.000e-06, eta: 1:07:48, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0236, loss_cls: 6.2684, loss_bbox: 2.8329, loss: 9.1788 2023-01-28 01:11:52,999 - mmdet - INFO - Epoch [11][2950/3696] lr: 6.000e-06, eta: 1:07:03, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0235, loss_cls: 6.2736, loss_bbox: 2.8476, loss: 9.1981 2023-01-28 01:12:38,341 - mmdet - INFO - Epoch [11][3000/3696] lr: 6.000e-06, eta: 1:06:18, time: 0.907, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0234, loss_cls: 6.2649, loss_bbox: 2.8558, loss: 9.1968 2023-01-28 01:13:23,624 - mmdet - INFO - Epoch [11][3050/3696] lr: 6.000e-06, eta: 1:05:32, time: 0.906, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0229, loss_cls: 6.2508, loss_bbox: 2.8553, loss: 9.1814 2023-01-28 01:14:09,832 - mmdet - INFO - Epoch [11][3100/3696] lr: 6.000e-06, eta: 1:04:47, time: 0.924, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0236, loss_cls: 6.2677, loss_bbox: 2.8260, loss: 9.1714 2023-01-28 01:14:55,447 - mmdet - INFO - Epoch [11][3150/3696] lr: 6.000e-06, eta: 1:04:02, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0232, loss_cls: 6.2644, loss_bbox: 2.8418, loss: 9.1825 2023-01-28 01:15:41,153 - mmdet - INFO - Epoch [11][3200/3696] lr: 6.000e-06, eta: 1:03:17, time: 0.914, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0234, loss_cls: 6.2630, loss_bbox: 2.8318, loss: 9.1716 2023-01-28 01:16:27,708 - mmdet - INFO - Epoch [11][3250/3696] lr: 6.000e-06, eta: 1:02:31, time: 0.931, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0237, loss_cls: 6.2741, loss_bbox: 2.8395, loss: 9.1914 2023-01-28 01:17:12,965 - mmdet - INFO - Epoch [11][3300/3696] lr: 6.000e-06, eta: 1:01:46, time: 0.905, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0234, loss_cls: 6.2690, loss_bbox: 2.8578, loss: 9.2034 2023-01-28 01:17:58,093 - mmdet - INFO - Epoch [11][3350/3696] lr: 6.000e-06, eta: 1:01:01, time: 0.903, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0234, loss_cls: 6.2686, loss_bbox: 2.8452, loss: 9.1907 2023-01-28 01:18:44,005 - mmdet - INFO - Epoch [11][3400/3696] lr: 6.000e-06, eta: 1:00:16, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0233, loss_cls: 6.2655, loss_bbox: 2.8456, loss: 9.1871 2023-01-28 01:19:29,604 - mmdet - INFO - Epoch [11][3450/3696] lr: 6.000e-06, eta: 0:59:30, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0233, loss_cls: 6.2680, loss_bbox: 2.8421, loss: 9.1863 2023-01-28 01:20:15,551 - mmdet - INFO - Epoch [11][3500/3696] lr: 6.000e-06, eta: 0:58:45, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0233, loss_cls: 6.2642, loss_bbox: 2.8475, loss: 9.1881 2023-01-28 01:21:01,424 - mmdet - INFO - Epoch [11][3550/3696] lr: 6.000e-06, eta: 0:58:00, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0233, loss_cls: 6.2696, loss_bbox: 2.8363, loss: 9.1824 2023-01-28 01:21:47,186 - mmdet - INFO - Epoch [11][3600/3696] lr: 6.000e-06, eta: 0:57:15, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0231, loss_cls: 6.2553, loss_bbox: 2.8551, loss: 9.1867 2023-01-28 01:22:33,821 - mmdet - INFO - Epoch [11][3650/3696] lr: 6.000e-06, eta: 0:56:29, time: 0.933, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0239, loss_cls: 6.2695, loss_bbox: 2.8268, loss: 9.1742 2023-01-28 01:23:16,493 - mmdet - INFO - Saving checkpoint at 11 epochs 2023-01-28 01:24:07,968 - mmdet - INFO - Epoch [12][50/3696] lr: 6.000e-07, eta: 0:54:59, time: 0.968, data_time: 0.071, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0232, loss_cls: 6.2630, loss_bbox: 2.8516, loss: 9.1909 2023-01-28 01:24:53,711 - mmdet - INFO - Epoch [12][100/3696] lr: 6.000e-07, eta: 0:54:14, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0237, loss_cls: 6.2748, loss_bbox: 2.8435, loss: 9.1957 2023-01-28 01:25:39,695 - mmdet - INFO - Epoch [12][150/3696] lr: 6.000e-07, eta: 0:53:29, time: 0.920, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0232, loss_cls: 6.2605, loss_bbox: 2.8516, loss: 9.1885 2023-01-28 01:26:25,220 - mmdet - INFO - Epoch [12][200/3696] lr: 6.000e-07, eta: 0:52:43, time: 0.910, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0232, loss_cls: 6.2638, loss_bbox: 2.8458, loss: 9.1858 2023-01-28 01:27:10,844 - mmdet - INFO - Epoch [12][250/3696] lr: 6.000e-07, eta: 0:51:58, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0230, loss_cls: 6.2461, loss_bbox: 2.8486, loss: 9.1698 2023-01-28 01:27:56,607 - mmdet - INFO - Epoch [12][300/3696] lr: 6.000e-07, eta: 0:51:13, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0230, loss_cls: 6.2559, loss_bbox: 2.8545, loss: 9.1863 2023-01-28 01:28:42,956 - mmdet - INFO - Epoch [12][350/3696] lr: 6.000e-07, eta: 0:50:28, time: 0.927, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0237, loss_cls: 6.2735, loss_bbox: 2.8227, loss: 9.1737 2023-01-28 01:29:29,141 - mmdet - INFO - Epoch [12][400/3696] lr: 6.000e-07, eta: 0:49:43, time: 0.924, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0236, loss_cls: 6.2672, loss_bbox: 2.8420, loss: 9.1862 2023-01-28 01:30:15,533 - mmdet - INFO - Epoch [12][450/3696] lr: 6.000e-07, eta: 0:48:58, time: 0.928, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0233, loss_cls: 6.2617, loss_bbox: 2.8356, loss: 9.1738 2023-01-28 01:31:02,029 - mmdet - INFO - Epoch [12][500/3696] lr: 6.000e-07, eta: 0:48:12, time: 0.930, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0233, loss_cls: 6.2592, loss_bbox: 2.8518, loss: 9.1880 2023-01-28 01:31:47,543 - mmdet - INFO - Epoch [12][550/3696] lr: 6.000e-07, eta: 0:47:27, time: 0.910, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0235, loss_cls: 6.2600, loss_bbox: 2.8366, loss: 9.1741 2023-01-28 01:32:32,931 - mmdet - INFO - Epoch [12][600/3696] lr: 6.000e-07, eta: 0:46:42, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0232, loss_cls: 6.2628, loss_bbox: 2.8517, loss: 9.1905 2023-01-28 01:33:18,789 - mmdet - INFO - Epoch [12][650/3696] lr: 6.000e-07, eta: 0:45:57, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0232, loss_cls: 6.2573, loss_bbox: 2.8474, loss: 9.1807 2023-01-28 01:34:04,168 - mmdet - INFO - Epoch [12][700/3696] lr: 6.000e-07, eta: 0:45:11, time: 0.908, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0234, loss_cls: 6.2715, loss_bbox: 2.8381, loss: 9.1861 2023-01-28 01:34:49,702 - mmdet - INFO - Epoch [12][750/3696] lr: 6.000e-07, eta: 0:44:26, time: 0.911, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0234, loss_cls: 6.2695, loss_bbox: 2.8438, loss: 9.1900 2023-01-28 01:35:35,986 - mmdet - INFO - Epoch [12][800/3696] lr: 6.000e-07, eta: 0:43:41, time: 0.926, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0237, loss_cls: 6.2663, loss_bbox: 2.8321, loss: 9.1753 2023-01-28 01:36:21,807 - mmdet - INFO - Epoch [12][850/3696] lr: 6.000e-07, eta: 0:42:56, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0234, loss_cls: 6.2596, loss_bbox: 2.8387, loss: 9.1750 2023-01-28 01:37:07,836 - mmdet - INFO - Epoch [12][900/3696] lr: 6.000e-07, eta: 0:42:11, time: 0.921, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0235, loss_cls: 6.2623, loss_bbox: 2.8345, loss: 9.1733 2023-01-28 01:37:54,195 - mmdet - INFO - Epoch [12][950/3696] lr: 6.000e-07, eta: 0:41:25, time: 0.927, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0240, loss_cls: 6.2781, loss_bbox: 2.8214, loss: 9.1775 2023-01-28 01:38:39,929 - mmdet - INFO - Epoch [12][1000/3696] lr: 6.000e-07, eta: 0:40:40, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0235, loss_cls: 6.2678, loss_bbox: 2.8413, loss: 9.1862 2023-01-28 01:39:25,835 - mmdet - INFO - Epoch [12][1050/3696] lr: 6.000e-07, eta: 0:39:55, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0231, loss_cls: 6.2658, loss_bbox: 2.8500, loss: 9.1921 2023-01-28 01:40:12,752 - mmdet - INFO - Epoch [12][1100/3696] lr: 6.000e-07, eta: 0:39:10, time: 0.938, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0236, loss_cls: 6.2666, loss_bbox: 2.8253, loss: 9.1689 2023-01-28 01:40:57,899 - mmdet - INFO - Epoch [12][1150/3696] lr: 6.000e-07, eta: 0:38:24, time: 0.903, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0231, loss_cls: 6.2536, loss_bbox: 2.8548, loss: 9.1842 2023-01-28 01:41:42,894 - mmdet - INFO - Epoch [12][1200/3696] lr: 6.000e-07, eta: 0:37:39, time: 0.900, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0233, loss_cls: 6.2634, loss_bbox: 2.8433, loss: 9.1831 2023-01-28 01:42:28,005 - mmdet - INFO - Epoch [12][1250/3696] lr: 6.000e-07, eta: 0:36:54, time: 0.902, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0231, loss_cls: 6.2601, loss_bbox: 2.8429, loss: 9.1791 2023-01-28 01:43:13,804 - mmdet - INFO - Epoch [12][1300/3696] lr: 6.000e-07, eta: 0:36:09, time: 0.916, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0233, loss_cls: 6.2661, loss_bbox: 2.8395, loss: 9.1822 2023-01-28 01:43:59,906 - mmdet - INFO - Epoch [12][1350/3696] lr: 6.000e-07, eta: 0:35:23, time: 0.922, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0235, loss_cls: 6.2611, loss_bbox: 2.8463, loss: 9.1844 2023-01-28 01:44:45,648 - mmdet - INFO - Epoch [12][1400/3696] lr: 6.000e-07, eta: 0:34:38, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0233, loss_cls: 6.2618, loss_bbox: 2.8465, loss: 9.1849 2023-01-28 01:45:31,764 - mmdet - INFO - Epoch [12][1450/3696] lr: 6.000e-07, eta: 0:33:53, time: 0.922, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0235, loss_cls: 6.2637, loss_bbox: 2.8487, loss: 9.1894 2023-01-28 01:46:18,177 - mmdet - INFO - Epoch [12][1500/3696] lr: 6.000e-07, eta: 0:33:08, time: 0.928, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0235, loss_cls: 6.2678, loss_bbox: 2.8216, loss: 9.1664 2023-01-28 01:47:03,333 - mmdet - INFO - Epoch [12][1550/3696] lr: 6.000e-07, eta: 0:32:23, time: 0.903, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0230, loss_cls: 6.2567, loss_bbox: 2.8601, loss: 9.1925 2023-01-28 01:47:49,069 - mmdet - INFO - Epoch [12][1600/3696] lr: 6.000e-07, eta: 0:31:37, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0234, loss_cls: 6.2635, loss_bbox: 2.8468, loss: 9.1867 2023-01-28 01:48:34,826 - mmdet - INFO - Epoch [12][1650/3696] lr: 6.000e-07, eta: 0:30:52, time: 0.915, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0234, loss_cls: 6.2662, loss_bbox: 2.8380, loss: 9.1809 2023-01-28 01:49:21,251 - mmdet - INFO - Epoch [12][1700/3696] lr: 6.000e-07, eta: 0:30:07, time: 0.929, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0243, loss_cls: 6.2790, loss_bbox: 2.8351, loss: 9.1932 2023-01-28 01:50:07,783 - mmdet - INFO - Epoch [12][1750/3696] lr: 6.000e-07, eta: 0:29:22, time: 0.931, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0238, loss_cls: 6.2762, loss_bbox: 2.8234, loss: 9.1776 2023-01-28 01:50:53,776 - mmdet - INFO - Epoch [12][1800/3696] lr: 6.000e-07, eta: 0:28:36, time: 0.920, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0235, loss_cls: 6.2610, loss_bbox: 2.8289, loss: 9.1669 2023-01-28 01:51:39,008 - mmdet - INFO - Epoch [12][1850/3696] lr: 6.000e-07, eta: 0:27:51, time: 0.905, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0234, loss_cls: 6.2623, loss_bbox: 2.8512, loss: 9.1906 2023-01-28 01:52:24,474 - mmdet - INFO - Epoch [12][1900/3696] lr: 6.000e-07, eta: 0:27:06, time: 0.909, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0234, loss_cls: 6.2667, loss_bbox: 2.8336, loss: 9.1770 2023-01-28 01:53:10,274 - mmdet - INFO - Epoch [12][1950/3696] lr: 6.000e-07, eta: 0:26:21, time: 0.916, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0229, loss_cls: 6.2601, loss_bbox: 2.8508, loss: 9.1862 2023-01-28 01:53:56,548 - mmdet - INFO - Epoch [12][2000/3696] lr: 6.000e-07, eta: 0:25:35, time: 0.925, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0240, loss_cls: 6.2757, loss_bbox: 2.8313, loss: 9.1858 2023-01-28 01:54:41,711 - mmdet - INFO - Epoch [12][2050/3696] lr: 6.000e-07, eta: 0:24:50, time: 0.903, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0235, loss_cls: 6.2708, loss_bbox: 2.8532, loss: 9.2014 2023-01-28 01:55:27,294 - mmdet - INFO - Epoch [12][2100/3696] lr: 6.000e-07, eta: 0:24:05, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0235, loss_cls: 6.2660, loss_bbox: 2.8510, loss: 9.1940 2023-01-28 01:56:13,942 - mmdet - INFO - Epoch [12][2150/3696] lr: 6.000e-07, eta: 0:23:20, time: 0.933, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0235, loss_cls: 6.2666, loss_bbox: 2.8257, loss: 9.1694 2023-01-28 01:56:59,679 - mmdet - INFO - Epoch [12][2200/3696] lr: 6.000e-07, eta: 0:22:34, time: 0.915, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0233, loss_cls: 6.2634, loss_bbox: 2.8355, loss: 9.1751 2023-01-28 01:57:45,508 - mmdet - INFO - Epoch [12][2250/3696] lr: 6.000e-07, eta: 0:21:49, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0235, loss_cls: 6.2702, loss_bbox: 2.8408, loss: 9.1875 2023-01-28 01:58:31,887 - mmdet - INFO - Epoch [12][2300/3696] lr: 6.000e-07, eta: 0:21:04, time: 0.928, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0240, loss_cls: 6.2810, loss_bbox: 2.8356, loss: 9.1944 2023-01-28 01:59:17,519 - mmdet - INFO - Epoch [12][2350/3696] lr: 6.000e-07, eta: 0:20:18, time: 0.913, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0237, loss_cls: 6.2739, loss_bbox: 2.8304, loss: 9.1822 2023-01-28 02:00:03,388 - mmdet - INFO - Epoch [12][2400/3696] lr: 6.000e-07, eta: 0:19:33, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0234, loss_cls: 6.2651, loss_bbox: 2.8423, loss: 9.1846 2023-01-28 02:00:49,535 - mmdet - INFO - Epoch [12][2450/3696] lr: 6.000e-07, eta: 0:18:48, time: 0.923, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0239, loss_cls: 6.2758, loss_bbox: 2.8292, loss: 9.1833 2023-01-28 02:01:35,456 - mmdet - INFO - Epoch [12][2500/3696] lr: 6.000e-07, eta: 0:18:03, time: 0.918, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0234, loss_cls: 6.2646, loss_bbox: 2.8440, loss: 9.1857 2023-01-28 02:02:21,098 - mmdet - INFO - Epoch [12][2550/3696] lr: 6.000e-07, eta: 0:17:17, time: 0.913, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0232, loss_cls: 6.2585, loss_bbox: 2.8494, loss: 9.1844 2023-01-28 02:03:06,339 - mmdet - INFO - Epoch [12][2600/3696] lr: 6.000e-07, eta: 0:16:32, time: 0.905, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0233, loss_cls: 6.2644, loss_bbox: 2.8474, loss: 9.1881 2023-01-28 02:03:53,143 - mmdet - INFO - Epoch [12][2650/3696] lr: 6.000e-07, eta: 0:15:47, time: 0.936, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0241, loss_cls: 6.2827, loss_bbox: 2.8246, loss: 9.1863 2023-01-28 02:04:39,398 - mmdet - INFO - Epoch [12][2700/3696] lr: 6.000e-07, eta: 0:15:02, time: 0.925, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0237, loss_cls: 6.2774, loss_bbox: 2.8471, loss: 9.2025 2023-01-28 02:05:25,715 - mmdet - INFO - Epoch [12][2750/3696] lr: 6.000e-07, eta: 0:14:16, time: 0.926, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0241, loss_cls: 6.2778, loss_bbox: 2.8247, loss: 9.1815 2023-01-28 02:06:11,831 - mmdet - INFO - Epoch [12][2800/3696] lr: 6.000e-07, eta: 0:13:31, time: 0.922, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0235, loss_cls: 6.2672, loss_bbox: 2.8439, loss: 9.1878 2023-01-28 02:06:58,677 - mmdet - INFO - Epoch [12][2850/3696] lr: 6.000e-07, eta: 0:12:46, time: 0.937, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0238, loss_cls: 6.2698, loss_bbox: 2.8203, loss: 9.1672 2023-01-28 02:07:44,506 - mmdet - INFO - Epoch [12][2900/3696] lr: 6.000e-07, eta: 0:12:01, time: 0.917, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0231, loss_cls: 6.2465, loss_bbox: 2.8407, loss: 9.1631 2023-01-28 02:08:30,107 - mmdet - INFO - Epoch [12][2950/3696] lr: 6.000e-07, eta: 0:11:15, time: 0.912, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0232, loss_cls: 6.2604, loss_bbox: 2.8386, loss: 9.1755 2023-01-28 02:09:15,650 - mmdet - INFO - Epoch [12][3000/3696] lr: 6.000e-07, eta: 0:10:30, time: 0.911, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0233, loss_cls: 6.2579, loss_bbox: 2.8553, loss: 9.1898 2023-01-28 02:10:01,927 - mmdet - INFO - Epoch [12][3050/3696] lr: 6.000e-07, eta: 0:09:45, time: 0.925, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0235, loss_cls: 6.2683, loss_bbox: 2.8253, loss: 9.1704 2023-01-28 02:10:47,347 - mmdet - INFO - Epoch [12][3100/3696] lr: 6.000e-07, eta: 0:08:59, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0233, loss_cls: 6.2576, loss_bbox: 2.8425, loss: 9.1768 2023-01-28 02:11:33,468 - mmdet - INFO - Epoch [12][3150/3696] lr: 6.000e-07, eta: 0:08:14, time: 0.922, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0232, loss_cls: 6.2616, loss_bbox: 2.8361, loss: 9.1733 2023-01-28 02:12:20,246 - mmdet - INFO - Epoch [12][3200/3696] lr: 6.000e-07, eta: 0:07:29, time: 0.936, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0239, loss_cls: 6.2757, loss_bbox: 2.8245, loss: 9.1777 2023-01-28 02:13:06,303 - mmdet - INFO - Epoch [12][3250/3696] lr: 6.000e-07, eta: 0:06:44, time: 0.921, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0232, loss_cls: 6.2551, loss_bbox: 2.8448, loss: 9.1763 2023-01-28 02:13:52,347 - mmdet - INFO - Epoch [12][3300/3696] lr: 6.000e-07, eta: 0:05:58, time: 0.921, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0233, loss_cls: 6.2569, loss_bbox: 2.8309, loss: 9.1645 2023-01-28 02:14:38,437 - mmdet - INFO - Epoch [12][3350/3696] lr: 6.000e-07, eta: 0:05:13, time: 0.922, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0235, loss_cls: 6.2764, loss_bbox: 2.8440, loss: 9.1975 2023-01-28 02:15:23,900 - mmdet - INFO - Epoch [12][3400/3696] lr: 6.000e-07, eta: 0:04:28, time: 0.909, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0233, loss_cls: 6.2673, loss_bbox: 2.8503, loss: 9.1942 2023-01-28 02:16:09,860 - mmdet - INFO - Epoch [12][3450/3696] lr: 6.000e-07, eta: 0:03:42, time: 0.919, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0235, loss_cls: 6.2748, loss_bbox: 2.8334, loss: 9.1853 2023-01-28 02:16:56,191 - mmdet - INFO - Epoch [12][3500/3696] lr: 6.000e-07, eta: 0:02:57, time: 0.927, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0232, loss_cls: 6.2595, loss_bbox: 2.8452, loss: 9.1811 2023-01-28 02:17:42,268 - mmdet - INFO - Epoch [12][3550/3696] lr: 6.000e-07, eta: 0:02:12, time: 0.921, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0237, loss_cls: 6.2673, loss_bbox: 2.8304, loss: 9.1755 2023-01-28 02:18:28,724 - mmdet - INFO - Epoch [12][3600/3696] lr: 6.000e-07, eta: 0:01:26, time: 0.929, data_time: 0.016, memory: 14590, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0241, loss_cls: 6.2738, loss_bbox: 2.8130, loss: 9.1652 2023-01-28 02:19:15,872 - mmdet - INFO - Epoch [12][3650/3696] lr: 6.000e-07, eta: 0:00:41, time: 0.943, data_time: 0.017, memory: 14590, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0241, loss_cls: 6.2796, loss_bbox: 2.8207, loss: 9.1788 2023-01-28 02:19:59,070 - mmdet - INFO - Saving checkpoint at 12 epochs