2024-05-27 14:29:29,754 - mmdet - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.9.19 (main, May 6 2024, 19:43:03) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/petrelfs/share/cuda-11.7/ NVCC: Cuda compilation tools, release 11.7, V11.7.99 GCC: gcc (GCC) 7.3.0 PyTorch: 1.12.0+cu113 PyTorch compiling details: PyTorch built with: - GCC 9.3 - 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 v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.3.2 (built against CUDA 11.5) - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/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-unused-parameter -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 -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.13.0+cu113 OpenCV: 4.9.0 MMCV: 1.7.0 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.7 MMDetection: 2.25.3+d30b7c1 ------------------------------------------------------------ 2024-05-27 14:29:31,147 - mmdet - INFO - Distributed training: True 2024-05-27 14:29:32,652 - mmdet - INFO - Config: model = dict( type='MaskRCNN', backbone=dict( type='PIIPThreeBranch', n_points=4, deform_num_heads=16, cffn_ratio=0.25, deform_ratio=0.5, with_cffn=True, interact_attn_type='deform', interaction_drop_path_rate=0.4, branch1=dict( real_size=448, pretrain_img_size=224, patch_size=16, pretrain_patch_size=16, depth=12, embed_dim=768, num_heads=12, mlp_ratio=4, qkv_bias=True, drop_path_rate=0.15, init_scale=1.0, with_fpn=False, interaction_indexes=[[0, 0], [1, 1], [2, 2], [3, 3], [4, 4], [5, 5], [6, 6], [7, 7], [8, 8], [9, 9], [10, 10], [11, 11]], pretrained='./pretrained/deit_3_base_224_21k.pth', window_attn=[ True, True, True, True, True, True, True, True, True, True, True, True ], window_size=[14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14], use_flash_attn=True, img_norm_cfg=dict( mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True)), branch2=dict( real_size=896, pretrain_img_size=224, patch_size=16, pretrain_patch_size=16, depth=12, embed_dim=384, num_heads=6, mlp_ratio=4, qkv_bias=True, drop_path_rate=0.05, init_scale=1.0, with_fpn=False, interaction_indexes=[[0, 0], [1, 1], [2, 2], [3, 3], [4, 4], [5, 5], [6, 6], [7, 7], [8, 8], [9, 9], [10, 10], [11, 11]], pretrained='./pretrained/deit_3_small_224_21k.pth', window_attn=[ True, True, True, True, True, True, True, True, True, True, True, True ], window_size=[14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14], use_flash_attn=True, img_norm_cfg=dict( mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True)), branch3=dict( real_size=1120, pretrain_img_size=224, patch_size=16, pretrain_patch_size=16, depth=12, embed_dim=192, num_heads=3, mlp_ratio=4, qkv_bias=True, drop_path_rate=0.05, init_scale=1.0, with_fpn=False, interaction_indexes=[[0, 0], [1, 1], [2, 2], [3, 3], [4, 4], [5, 5], [6, 6], [7, 7], [8, 8], [9, 9], [10, 10], [11, 11]], pretrained='./pretrained/deit_tiny_patch16_224-a1311bcf.pth', window_attn=[ True, True, True, True, True, True, True, True, True, True, True, True ], window_size=[14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14], use_flash_attn=True, img_norm_cfg=dict( mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True))), neck=dict( type='FPN', in_channels=[768, 768, 768, 768], 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='StandardRoIHead', 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='Shared2FCBBoxHead', in_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=80, bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.1, 0.1, 0.2, 0.2]), reg_class_agnostic=False, loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='L1Loss', loss_weight=1.0)), mask_roi_extractor=dict( type='SingleRoIExtractor', roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0), out_channels=256, featmap_strides=[4, 8, 16, 32]), mask_head=dict( type='FCNMaskHead', num_convs=4, in_channels=256, conv_out_channels=256, num_classes=80, loss_mask=dict( type='CrossEntropyLoss', use_mask=True, loss_weight=1.0))), 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=256, pos_fraction=0.5, 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), sampler=dict( type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, 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))) dataset_type = 'CocoDataset' data_root = 'data/coco/' img_norm_cfg = dict( mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict(type='Resize', img_scale=(1120, 672), keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict( type='Normalize', mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True), dict(type='Pad', size_divisor=224), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1120, 672), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True), dict(type='Pad', size_divisor=224), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=2, workers_per_gpu=2, train=dict( type='CocoDataset', ann_file='data/coco/annotations/instances_train2017.json', img_prefix='data/coco/train2017/', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict(type='Resize', img_scale=(1120, 672), keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict( type='Normalize', mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True), dict(type='Pad', size_divisor=224), dict(type='DefaultFormatBundle'), dict( type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']) ]), val=dict( type='CocoDataset', ann_file='data/coco/annotations/instances_val2017.json', img_prefix='data/coco/val2017/', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1120, 672), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True), dict(type='Pad', size_divisor=224), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='CocoDataset', ann_file='data/coco/annotations/instances_val2017.json', img_prefix='data/coco/val2017/', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1120, 672), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], to_rgb=True), dict(type='Pad', size_divisor=224), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) evaluation = dict(metric=['bbox', 'segm'], interval=1, save_best=None) optimizer = dict( type='AdamW', lr=0.0001, betas=(0.9, 0.999), weight_decay=0.05, constructor='CustomLayerDecayOptimizerConstructorMMDet', paramwise_cfg=dict( num_layers=12, layer_decay_rate=0.85, skip_stride=[1, 1])) optimizer_config = dict(grad_clip=None) lr_config = dict( policy='step', warmup='linear', warmup_iters=500, warmup_ratio=0.001, step=[8, 11]) runner = dict(type='EpochBasedRunner', max_epochs=12) checkpoint_config = dict(interval=1, deepspeed=True, max_keep_ckpts=1) log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) custom_hooks = [dict(type='ToBFloat16HookMMDet', priority=49)] dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] opencv_num_threads = 0 mp_start_method = 'fork' auto_scale_lr = dict(enable=False, base_batch_size=16) deepspeed = True deepspeed_config = 'zero_configs/adam_zero1_bf16.json' custom_imports = dict( imports=['mmdet.mmcv_custom'], allow_failed_imports=False) work_dir = './work_dirs/mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16' auto_resume = True gpu_ids = range(0, 8) 2024-05-27 14:29:37,621 - mmdet - INFO - Set random seed to 1435408493, deterministic: False 2024-05-27 14:29:40,689 - mmdet - INFO - _IncompatibleKeys(missing_keys=[], unexpected_keys=['cls_token', 'norm.weight', 'norm.bias', 'head.weight', 'head.bias']) 2024-05-27 14:29:42,841 - mmdet - INFO - _IncompatibleKeys(missing_keys=[], unexpected_keys=['cls_token', 'norm.weight', 'norm.bias', 'head.weight', 'head.bias']) 2024-05-27 14:29:43,158 - mmdet - INFO - _IncompatibleKeys(missing_keys=['blocks.0.gamma_1', 'blocks.0.gamma_2', 'blocks.1.gamma_1', 'blocks.1.gamma_2', 'blocks.2.gamma_1', 'blocks.2.gamma_2', 'blocks.3.gamma_1', 'blocks.3.gamma_2', 'blocks.4.gamma_1', 'blocks.4.gamma_2', 'blocks.5.gamma_1', 'blocks.5.gamma_2', 'blocks.6.gamma_1', 'blocks.6.gamma_2', 'blocks.7.gamma_1', 'blocks.7.gamma_2', 'blocks.8.gamma_1', 'blocks.8.gamma_2', 'blocks.9.gamma_1', 'blocks.9.gamma_2', 'blocks.10.gamma_1', 'blocks.10.gamma_2', 'blocks.11.gamma_1', 'blocks.11.gamma_2'], unexpected_keys=['cls_token', 'norm.weight', 'norm.bias', 'head.weight', 'head.bias']) 2024-05-27 14:30:29,478 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2024-05-27 14:30:30,089 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} 2024-05-27 14:30:30,148 - mmdet - INFO - initialize Shared2FCBBoxHead 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 backbone.w1 - torch.Size([]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.w2 - torch.Size([]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.w3 - torch.Size([]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.pos_embed - torch.Size([1, 196, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.patch_embed.proj.weight - torch.Size([768, 3, 16, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.patch_embed.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.0.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.1.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.2.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.3.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.4.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.5.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.6.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.7.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.8.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.9.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.10.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch1.blocks.11.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.pos_embed - torch.Size([1, 196, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.patch_embed.proj.weight - torch.Size([384, 3, 16, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.patch_embed.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.0.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.1.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.2.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.3.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.4.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.5.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.6.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.7.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.8.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.9.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.10.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.gamma_1 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.gamma_2 - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.norm1.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.norm1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.attn.qkv.weight - torch.Size([1152, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.attn.qkv.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.attn.proj.weight - torch.Size([384, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.attn.proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.norm2.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.norm2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.mlp.fc1.weight - torch.Size([1536, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.mlp.fc1.bias - torch.Size([1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.mlp.fc2.weight - torch.Size([384, 1536]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch2.blocks.11.mlp.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.pos_embed - torch.Size([1, 196, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.patch_embed.proj.weight - torch.Size([192, 3, 16, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.patch_embed.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.gamma_1 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.gamma_2 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.0.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.gamma_1 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.gamma_2 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.1.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.gamma_1 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.gamma_2 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.2.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.gamma_1 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.gamma_2 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.3.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.gamma_1 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.gamma_2 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.4.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.gamma_1 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.gamma_2 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.5.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.gamma_1 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.gamma_2 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.6.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.gamma_1 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.gamma_2 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.7.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.gamma_1 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.gamma_2 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.8.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.gamma_1 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.gamma_2 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.9.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.gamma_1 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.gamma_2 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.10.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.gamma_1 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.gamma_2 - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.branch3.blocks.11.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([96, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([192, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([96, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([192, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.1.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([96, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([192, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.2.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([96, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([192, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.3.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([96, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([192, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.4.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([96, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([192, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.5.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([96, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([192, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.6.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([96, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([192, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.7.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([96, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([192, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.8.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([96, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([192, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.9.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([96, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([192, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.10.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ca_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.cffn_gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch2to1_injector.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_12.branch1to2_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ca_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.cffn_gamma - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.query_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.query_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.feat_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.feat_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight - torch.Size([128, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.attention_weights.weight - torch.Size([64, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.value_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.output_proj.weight - torch.Size([384, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.attn.output_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn.fc1.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn.fc1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight - torch.Size([96, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn.fc2.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn.fc2.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn_norm.weight - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch2to1_injector.ffn_norm.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_proj.weight - torch.Size([192, 384]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ca_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.cffn_gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight - torch.Size([128, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.attention_weights.weight - torch.Size([64, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.value_proj.weight - torch.Size([96, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.value_proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.output_proj.weight - torch.Size([192, 96]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight - torch.Size([48, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.interactions.11.interaction_units_23.branch1to2_injector.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch1.0.weight - torch.Size([768, 768, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch1.1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch1.1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch1.3.weight - torch.Size([768, 768, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch1.4.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch1.4.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch2.0.weight - torch.Size([768, 384, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch2.1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch2.1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch2.3.weight - torch.Size([768, 768, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch2.4.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch2.4.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch3.0.weight - torch.Size([768, 192, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch3.1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch3.1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch3.3.weight - torch.Size([768, 768, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch3.4.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.merge_branch3.4.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn1.0.weight - torch.Size([768, 768, 2, 2]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn1.0.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn1.1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn1.1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn1.3.weight - torch.Size([768, 768, 2, 2]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn1.3.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn2.0.weight - torch.Size([768, 768, 2, 2]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.fpn2.0.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.0.conv.weight - torch.Size([256, 768, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.1.conv.weight - torch.Size([256, 768, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.2.conv.weight - torch.Size([256, 768, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.3.conv.weight - torch.Size([256, 768, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_conv.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_cls.bias - torch.Size([3]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_reg.bias - torch.Size([12]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.fc_cls.weight - torch.Size([81, 1024]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.fc_cls.bias - torch.Size([81]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.fc_reg.weight - torch.Size([320, 1024]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.fc_reg.bias - torch.Size([320]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.shared_fcs.1.weight - torch.Size([1024, 1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.shared_fcs.1.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.mask_head.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule roi_head.mask_head.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN roi_head.mask_head.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule roi_head.mask_head.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN roi_head.mask_head.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule roi_head.mask_head.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN roi_head.mask_head.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule roi_head.mask_head.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN roi_head.mask_head.upsample.weight - torch.Size([256, 256, 2, 2]): Initialized by user-defined `init_weights` in FCNMaskHead roi_head.mask_head.upsample.bias - torch.Size([256]): Initialized by user-defined `init_weights` in FCNMaskHead roi_head.mask_head.conv_logits.weight - torch.Size([80, 256, 1, 1]): Initialized by user-defined `init_weights` in FCNMaskHead roi_head.mask_head.conv_logits.bias - torch.Size([80]): Initialized by user-defined `init_weights` in FCNMaskHead 2024-05-27 14:30:52,484 - mmdet - INFO - {'num_layers': 12, 'layer_decay_rate': 0.85, 'skip_stride': [1, 1]} 2024-05-27 14:30:52,484 - mmdet - INFO - Build LayerDecayOptimizerConstructor 0.850000 - 14 2024-05-27 14:30:52,498 - mmdet - INFO - Param groups = { "layer_13_decay": { "param_names": [ "backbone.w1", "backbone.w2", "backbone.w3", "backbone.interactions.0.interaction_units_12.branch2to1_proj.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.attention_weights.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.value_proj.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.attn.output_proj.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.fc1.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.0.interaction_units_12.branch2to1_injector.ffn.fc2.weight", "backbone.interactions.0.interaction_units_12.branch1to2_proj.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.sampling_offsets.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.attention_weights.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.value_proj.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.attn.output_proj.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.fc1.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.0.interaction_units_12.branch1to2_injector.ffn.fc2.weight", "backbone.interactions.0.interaction_units_23.branch2to1_proj.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.sampling_offsets.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.attention_weights.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.value_proj.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.attn.output_proj.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.fc1.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.0.interaction_units_23.branch2to1_injector.ffn.fc2.weight", "backbone.interactions.0.interaction_units_23.branch1to2_proj.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.sampling_offsets.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.attention_weights.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.value_proj.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.attn.output_proj.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.fc1.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.dwconv.dwconv.weight", "backbone.interactions.0.interaction_units_23.branch1to2_injector.ffn.fc2.weight", "backbone.interactions.1.interaction_units_12.branch2to1_proj.weight", "backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.sampling_offsets.weight", "backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.attention_weights.weight", "backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.value_proj.weight", "backbone.interactions.1.interaction_units_12.branch2to1_injector.attn.output_proj.weight", "backbone.interactions.1.interaction_units_12.branch2to1_injector.ffn.fc1.weight", 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"backbone.fpn1.3.bias", "backbone.fpn2.0.bias", "neck.lateral_convs.0.conv.bias", "neck.lateral_convs.1.conv.bias", "neck.lateral_convs.2.conv.bias", "neck.lateral_convs.3.conv.bias", "neck.fpn_convs.0.conv.bias", "neck.fpn_convs.1.conv.bias", "neck.fpn_convs.2.conv.bias", "neck.fpn_convs.3.conv.bias", "rpn_head.rpn_conv.bias", "rpn_head.rpn_cls.bias", "rpn_head.rpn_reg.bias", "roi_head.bbox_head.fc_cls.bias", "roi_head.bbox_head.fc_reg.bias", "roi_head.bbox_head.shared_fcs.0.bias", "roi_head.bbox_head.shared_fcs.1.bias", "roi_head.mask_head.convs.0.conv.bias", "roi_head.mask_head.convs.1.conv.bias", "roi_head.mask_head.convs.2.conv.bias", "roi_head.mask_head.convs.3.conv.bias", "roi_head.mask_head.upsample.bias", "roi_head.mask_head.conv_logits.bias" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.0 } } 2024-05-27 14:31:22,331 - mmdet - INFO - Automatic scaling of learning rate (LR) has been disabled. 2024-05-27 14:31:22,732 - mmdet - INFO - Start running, work_dir: /mnt/petrelfs/PIIP/mmdetection/work_dirs/mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16 2024-05-27 14:31:22,733 - mmdet - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) StepLrUpdaterHook (49 ) ToBFloat16HookMMDet (NORMAL ) DeepspeedCheckpointHook (LOW ) DeepspeedDistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (LOW ) DeepspeedDistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) StepLrUpdaterHook (LOW ) IterTimerHook (LOW ) DeepspeedDistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) DeepspeedCheckpointHook (LOW ) IterTimerHook (LOW ) DeepspeedDistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) DeepspeedCheckpointHook (LOW ) DeepspeedDistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2024-05-27 14:31:22,733 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs 2024-05-27 14:31:22,743 - mmdet - INFO - Checkpoints will be saved to /mnt/petrelfs/PIIP/mmdetection/work_dirs/mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16 by HardDiskBackend. 2024-05-27 14:31:53,959 - mmdet - INFO - Epoch [1][50/7330] lr: 9.890e-06, eta: 15:14:25, time: 0.624, data_time: 0.092, memory: 5681, loss_rpn_cls: 0.6357, loss_rpn_bbox: 0.0963, loss_cls: 2.4202, acc: 57.1614, loss_bbox: 0.0497, loss_mask: 1.2090, loss: 4.4108 2024-05-27 14:32:17,955 - mmdet - INFO - Epoch [1][100/7330] lr: 1.988e-05, eta: 13:28:17, time: 0.480, data_time: 0.021, memory: 5788, loss_rpn_cls: 0.3131, loss_rpn_bbox: 0.0873, loss_cls: 0.4241, acc: 95.0020, loss_bbox: 0.1635, loss_mask: 0.7506, loss: 1.7387 2024-05-27 14:32:42,112 - mmdet - INFO - Epoch [1][150/7330] lr: 2.987e-05, eta: 12:54:15, time: 0.483, data_time: 0.017, memory: 5837, loss_rpn_cls: 0.2615, loss_rpn_bbox: 0.0839, loss_cls: 0.3800, acc: 94.5393, loss_bbox: 0.1826, loss_mask: 0.7000, loss: 1.6080 2024-05-27 14:33:06,311 - mmdet - INFO - Epoch [1][200/7330] lr: 3.986e-05, eta: 12:37:20, time: 0.484, data_time: 0.021, memory: 5847, loss_rpn_cls: 0.2463, loss_rpn_bbox: 0.0827, loss_cls: 0.3898, acc: 94.1941, loss_bbox: 0.1984, loss_mask: 0.6847, loss: 1.6019 2024-05-27 14:33:30,502 - mmdet - INFO - Epoch [1][250/7330] lr: 4.985e-05, eta: 12:26:58, time: 0.484, data_time: 0.017, memory: 5847, loss_rpn_cls: 0.2245, loss_rpn_bbox: 0.0857, loss_cls: 0.4218, acc: 93.5522, loss_bbox: 0.2211, loss_mask: 0.6700, loss: 1.6231 2024-05-27 14:33:54,795 - mmdet - INFO - Epoch [1][300/7330] lr: 5.984e-05, eta: 12:20:26, time: 0.486, data_time: 0.021, memory: 5920, loss_rpn_cls: 0.1843, loss_rpn_bbox: 0.0855, loss_cls: 0.4481, acc: 93.1025, loss_bbox: 0.2453, loss_mask: 0.6505, loss: 1.6138 2024-05-27 14:34:19,203 - mmdet - INFO - Epoch [1][350/7330] lr: 6.983e-05, eta: 12:16:07, time: 0.488, data_time: 0.018, memory: 5962, loss_rpn_cls: 0.1521, loss_rpn_bbox: 0.0768, loss_cls: 0.4369, acc: 93.1421, loss_bbox: 0.2465, loss_mask: 0.6252, loss: 1.5374 2024-05-27 14:34:43,568 - mmdet - INFO - Epoch [1][400/7330] lr: 7.982e-05, eta: 12:12:37, time: 0.487, data_time: 0.017, memory: 5993, loss_rpn_cls: 0.1425, loss_rpn_bbox: 0.0830, loss_cls: 0.4569, acc: 92.5139, loss_bbox: 0.2723, loss_mask: 0.6074, loss: 1.5621 2024-05-27 14:35:08,069 - mmdet - INFO - Epoch [1][450/7330] lr: 8.981e-05, eta: 12:10:14, time: 0.490, data_time: 0.017, memory: 6043, loss_rpn_cls: 0.1370, loss_rpn_bbox: 0.0794, loss_cls: 0.4586, acc: 92.1191, loss_bbox: 0.2856, loss_mask: 0.5748, loss: 1.5354 2024-05-27 14:35:32,627 - mmdet - INFO - Epoch [1][500/7330] lr: 9.980e-05, eta: 12:08:27, time: 0.491, data_time: 0.017, memory: 6043, loss_rpn_cls: 0.1259, loss_rpn_bbox: 0.0786, loss_cls: 0.4607, acc: 91.6030, loss_bbox: 0.2990, loss_mask: 0.5475, loss: 1.5117 2024-05-27 14:35:57,073 - mmdet - INFO - Epoch [1][550/7330] lr: 1.000e-04, eta: 12:06:36, time: 0.489, data_time: 0.017, memory: 6043, loss_rpn_cls: 0.1158, loss_rpn_bbox: 0.0764, loss_cls: 0.4511, acc: 91.4761, loss_bbox: 0.3066, loss_mask: 0.5252, loss: 1.4752 2024-05-27 14:36:23,548 - mmdet - INFO - Epoch [1][600/7330] lr: 1.000e-04, eta: 12:09:54, time: 0.529, data_time: 0.015, memory: 6043, loss_rpn_cls: 0.1049, loss_rpn_bbox: 0.0733, loss_cls: 0.4299, acc: 91.3789, loss_bbox: 0.3099, loss_mask: 0.5057, loss: 1.4236 2024-05-27 14:36:57,450 - mmdet - INFO - Epoch [1][650/7330] lr: 1.000e-04, eta: 12:29:16, time: 0.678, data_time: 0.019, memory: 6049, loss_rpn_cls: 0.1049, loss_rpn_bbox: 0.0754, loss_cls: 0.4256, acc: 90.7402, loss_bbox: 0.3297, loss_mask: 0.4952, loss: 1.4308 2024-05-27 14:37:22,447 - mmdet - INFO - Epoch [1][700/7330] lr: 1.000e-04, eta: 12:27:17, time: 0.500, data_time: 0.022, memory: 6049, loss_rpn_cls: 0.1022, loss_rpn_bbox: 0.0749, loss_cls: 0.4388, acc: 90.7893, loss_bbox: 0.3307, loss_mask: 0.4865, loss: 1.4331 2024-05-27 14:37:47,128 - mmdet - INFO - Epoch [1][750/7330] lr: 1.000e-04, eta: 12:24:54, time: 0.494, data_time: 0.016, memory: 6049, loss_rpn_cls: 0.0985, loss_rpn_bbox: 0.0730, loss_cls: 0.4188, acc: 90.6086, loss_bbox: 0.3366, loss_mask: 0.4752, loss: 1.4021 2024-05-27 14:38:11,965 - mmdet - INFO - Epoch [1][800/7330] lr: 1.000e-04, eta: 12:23:02, time: 0.497, data_time: 0.015, memory: 6049, loss_rpn_cls: 0.0942, loss_rpn_bbox: 0.0723, loss_cls: 0.4078, acc: 90.4075, loss_bbox: 0.3434, loss_mask: 0.4676, loss: 1.3853 2024-05-27 14:38:36,799 - mmdet - INFO - Epoch [1][850/7330] lr: 1.000e-04, eta: 12:21:21, time: 0.497, data_time: 0.017, memory: 6049, loss_rpn_cls: 0.0909, loss_rpn_bbox: 0.0686, loss_cls: 0.4030, acc: 90.5347, loss_bbox: 0.3388, loss_mask: 0.4575, loss: 1.3588 2024-05-27 14:39:02,006 - mmdet - INFO - Epoch [1][900/7330] lr: 1.000e-04, eta: 12:20:24, time: 0.504, data_time: 0.018, memory: 6049, loss_rpn_cls: 0.0987, loss_rpn_bbox: 0.0803, loss_cls: 0.4116, acc: 90.0117, loss_bbox: 0.3563, loss_mask: 0.4566, loss: 1.4033 2024-05-27 14:39:27,087 - mmdet - INFO - Epoch [1][950/7330] lr: 1.000e-04, eta: 12:19:18, time: 0.502, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0933, loss_rpn_bbox: 0.0716, loss_cls: 0.4008, acc: 89.8218, loss_bbox: 0.3645, loss_mask: 0.4420, loss: 1.3722 2024-05-27 14:39:52,161 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 14:39:52,161 - mmdet - INFO - Epoch [1][1000/7330] lr: 1.000e-04, eta: 12:18:17, time: 0.501, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0795, loss_rpn_bbox: 0.0683, loss_cls: 0.3871, acc: 89.9402, loss_bbox: 0.3643, loss_mask: 0.4419, loss: 1.3411 2024-05-27 14:40:17,511 - mmdet - INFO - Epoch [1][1050/7330] lr: 1.000e-04, eta: 12:17:41, time: 0.507, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0880, loss_rpn_bbox: 0.0709, loss_cls: 0.3766, acc: 90.2686, loss_bbox: 0.3494, loss_mask: 0.4360, loss: 1.3209 2024-05-27 14:40:42,509 - mmdet - INFO - Epoch [1][1100/7330] lr: 1.000e-04, eta: 12:16:39, time: 0.500, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0817, loss_rpn_bbox: 0.0699, loss_cls: 0.3836, acc: 89.8655, loss_bbox: 0.3623, loss_mask: 0.4302, loss: 1.3277 2024-05-27 14:41:07,760 - mmdet - INFO - Epoch [1][1150/7330] lr: 1.000e-04, eta: 12:15:59, time: 0.505, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0871, loss_rpn_bbox: 0.0737, loss_cls: 0.3827, acc: 90.0347, loss_bbox: 0.3527, loss_mask: 0.4296, loss: 1.3258 2024-05-27 14:41:32,898 - mmdet - INFO - Epoch [1][1200/7330] lr: 1.000e-04, eta: 12:15:12, time: 0.503, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0810, loss_rpn_bbox: 0.0699, loss_cls: 0.3742, acc: 89.8469, loss_bbox: 0.3613, loss_mask: 0.4295, loss: 1.3159 2024-05-27 14:41:57,974 - mmdet - INFO - Epoch [1][1250/7330] lr: 1.000e-04, eta: 12:14:22, time: 0.501, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0797, loss_rpn_bbox: 0.0667, loss_cls: 0.3723, acc: 90.0098, loss_bbox: 0.3517, loss_mask: 0.4152, loss: 1.2856 2024-05-27 14:42:23,335 - mmdet - INFO - Epoch [1][1300/7330] lr: 1.000e-04, eta: 12:13:54, time: 0.507, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0787, loss_rpn_bbox: 0.0702, loss_cls: 0.3724, acc: 89.5088, loss_bbox: 0.3717, loss_mask: 0.4168, loss: 1.3097 2024-05-27 14:42:50,097 - mmdet - INFO - Epoch [1][1350/7330] lr: 1.000e-04, eta: 12:14:56, time: 0.535, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0751, loss_rpn_bbox: 0.0658, loss_cls: 0.3464, acc: 90.3433, loss_bbox: 0.3413, loss_mask: 0.4024, loss: 1.2308 2024-05-27 14:43:24,924 - mmdet - INFO - Epoch [1][1400/7330] lr: 1.000e-04, eta: 12:24:09, time: 0.696, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0729, loss_rpn_bbox: 0.0639, loss_cls: 0.3422, acc: 90.4282, loss_bbox: 0.3387, loss_mask: 0.4063, loss: 1.2240 2024-05-27 14:43:50,100 - mmdet - INFO - Epoch [1][1450/7330] lr: 1.000e-04, eta: 12:23:07, time: 0.504, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0737, loss_rpn_bbox: 0.0659, loss_cls: 0.3541, acc: 90.0251, loss_bbox: 0.3522, loss_mask: 0.4029, loss: 1.2489 2024-05-27 14:44:15,121 - mmdet - INFO - Epoch [1][1500/7330] lr: 1.000e-04, eta: 12:21:58, time: 0.500, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0779, loss_rpn_bbox: 0.0679, loss_cls: 0.3516, acc: 90.0571, loss_bbox: 0.3560, loss_mask: 0.4103, loss: 1.2637 2024-05-27 14:44:40,605 - mmdet - INFO - Epoch [1][1550/7330] lr: 1.000e-04, eta: 12:21:18, time: 0.510, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0756, loss_rpn_bbox: 0.0678, loss_cls: 0.3505, acc: 90.0537, loss_bbox: 0.3556, loss_mask: 0.4072, loss: 1.2567 2024-05-27 14:45:05,878 - mmdet - INFO - Epoch [1][1600/7330] lr: 1.000e-04, eta: 12:20:27, time: 0.505, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0720, loss_rpn_bbox: 0.0662, loss_cls: 0.3576, acc: 89.8506, loss_bbox: 0.3589, loss_mask: 0.4008, loss: 1.2555 2024-05-27 14:45:31,319 - mmdet - INFO - Epoch [1][1650/7330] lr: 1.000e-04, eta: 12:19:47, time: 0.509, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0769, loss_rpn_bbox: 0.0707, loss_cls: 0.3363, acc: 90.3064, loss_bbox: 0.3411, loss_mask: 0.3915, loss: 1.2166 2024-05-27 14:45:56,653 - mmdet - INFO - Epoch [1][1700/7330] lr: 1.000e-04, eta: 12:19:00, time: 0.506, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0713, loss_rpn_bbox: 0.0686, loss_cls: 0.3554, acc: 89.8184, loss_bbox: 0.3616, loss_mask: 0.3958, loss: 1.2527 2024-05-27 14:46:21,877 - mmdet - INFO - Epoch [1][1750/7330] lr: 1.000e-04, eta: 12:18:12, time: 0.505, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0684, loss_rpn_bbox: 0.0648, loss_cls: 0.3488, acc: 89.8904, loss_bbox: 0.3584, loss_mask: 0.3955, loss: 1.2358 2024-05-27 14:46:47,018 - mmdet - INFO - Epoch [1][1800/7330] lr: 1.000e-04, eta: 12:17:20, time: 0.503, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0689, loss_rpn_bbox: 0.0624, loss_cls: 0.3382, acc: 90.2500, loss_bbox: 0.3432, loss_mask: 0.3930, loss: 1.2057 2024-05-27 14:47:12,321 - mmdet - INFO - Epoch [1][1850/7330] lr: 1.000e-04, eta: 12:16:37, time: 0.506, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0703, loss_rpn_bbox: 0.0638, loss_cls: 0.3355, acc: 90.2505, loss_bbox: 0.3463, loss_mask: 0.3843, loss: 1.2002 2024-05-27 14:47:37,625 - mmdet - INFO - Epoch [1][1900/7330] lr: 1.000e-04, eta: 12:15:55, time: 0.506, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0685, loss_rpn_bbox: 0.0634, loss_cls: 0.3393, acc: 90.0222, loss_bbox: 0.3540, loss_mask: 0.3840, loss: 1.2093 2024-05-27 14:48:03,053 - mmdet - INFO - Epoch [1][1950/7330] lr: 1.000e-04, eta: 12:15:20, time: 0.509, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0663, loss_rpn_bbox: 0.0629, loss_cls: 0.3421, acc: 89.9761, loss_bbox: 0.3485, loss_mask: 0.3756, loss: 1.1954 2024-05-27 14:48:28,212 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 14:48:28,212 - mmdet - INFO - Epoch [1][2000/7330] lr: 1.000e-04, eta: 12:14:33, time: 0.503, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0675, loss_rpn_bbox: 0.0624, loss_cls: 0.3311, acc: 90.1267, loss_bbox: 0.3472, loss_mask: 0.3806, loss: 1.1887 2024-05-27 14:48:53,660 - mmdet - INFO - Epoch [1][2050/7330] lr: 1.000e-04, eta: 12:14:00, time: 0.509, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0718, loss_rpn_bbox: 0.0688, loss_cls: 0.3453, acc: 89.9707, loss_bbox: 0.3576, loss_mask: 0.3825, loss: 1.2261 2024-05-27 14:49:20,809 - mmdet - INFO - Epoch [1][2100/7330] lr: 1.000e-04, eta: 12:14:36, time: 0.543, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0659, loss_rpn_bbox: 0.0644, loss_cls: 0.3351, acc: 89.9087, loss_bbox: 0.3540, loss_mask: 0.3830, loss: 1.2023 2024-05-27 14:49:54,353 - mmdet - INFO - Epoch [1][2150/7330] lr: 1.000e-04, eta: 12:19:25, time: 0.671, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0635, loss_rpn_bbox: 0.0622, loss_cls: 0.3131, acc: 90.5376, loss_bbox: 0.3357, loss_mask: 0.3632, loss: 1.1377 2024-05-27 14:50:19,465 - mmdet - INFO - Epoch [1][2200/7330] lr: 1.000e-04, eta: 12:18:30, time: 0.502, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0624, loss_rpn_bbox: 0.0584, loss_cls: 0.3154, acc: 90.5190, loss_bbox: 0.3354, loss_mask: 0.3724, loss: 1.1441 2024-05-27 14:50:44,778 - mmdet - INFO - Epoch [1][2250/7330] lr: 1.000e-04, eta: 12:17:44, time: 0.506, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0610, loss_rpn_bbox: 0.0620, loss_cls: 0.3233, acc: 90.2468, loss_bbox: 0.3494, loss_mask: 0.3812, loss: 1.1770 2024-05-27 14:51:10,189 - mmdet - INFO - Epoch [1][2300/7330] lr: 1.000e-04, eta: 12:17:03, time: 0.508, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0676, loss_rpn_bbox: 0.0641, loss_cls: 0.3364, acc: 90.0642, loss_bbox: 0.3494, loss_mask: 0.3889, loss: 1.2063 2024-05-27 14:51:35,544 - mmdet - INFO - Epoch [1][2350/7330] lr: 1.000e-04, eta: 12:16:21, time: 0.507, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0648, loss_rpn_bbox: 0.0640, loss_cls: 0.3163, acc: 90.3521, loss_bbox: 0.3406, loss_mask: 0.3743, loss: 1.1599 2024-05-27 14:52:01,146 - mmdet - INFO - Epoch [1][2400/7330] lr: 1.000e-04, eta: 12:15:48, time: 0.512, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0678, loss_rpn_bbox: 0.0668, loss_cls: 0.3258, acc: 90.0684, loss_bbox: 0.3509, loss_mask: 0.3670, loss: 1.1784 2024-05-27 14:52:26,275 - mmdet - INFO - Epoch [1][2450/7330] lr: 1.000e-04, eta: 12:14:58, time: 0.503, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0684, loss_rpn_bbox: 0.0652, loss_cls: 0.3379, acc: 89.7969, loss_bbox: 0.3559, loss_mask: 0.3712, loss: 1.1986 2024-05-27 14:52:51,828 - mmdet - INFO - Epoch [1][2500/7330] lr: 1.000e-04, eta: 12:14:24, time: 0.511, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0614, loss_cls: 0.3309, acc: 90.1663, loss_bbox: 0.3492, loss_mask: 0.3649, loss: 1.1660 2024-05-27 14:53:17,313 - mmdet - INFO - Epoch [1][2550/7330] lr: 1.000e-04, eta: 12:13:49, time: 0.510, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0616, loss_rpn_bbox: 0.0591, loss_cls: 0.3213, acc: 90.0955, loss_bbox: 0.3509, loss_mask: 0.3676, loss: 1.1604 2024-05-27 14:53:42,523 - mmdet - INFO - Epoch [1][2600/7330] lr: 1.000e-04, eta: 12:13:05, time: 0.504, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0652, loss_rpn_bbox: 0.0628, loss_cls: 0.3213, acc: 90.3025, loss_bbox: 0.3409, loss_mask: 0.3619, loss: 1.1521 2024-05-27 14:54:07,627 - mmdet - INFO - Epoch [1][2650/7330] lr: 1.000e-04, eta: 12:12:17, time: 0.502, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0635, loss_rpn_bbox: 0.0622, loss_cls: 0.3184, acc: 90.2280, loss_bbox: 0.3404, loss_mask: 0.3654, loss: 1.1500 2024-05-27 14:54:32,788 - mmdet - INFO - Epoch [1][2700/7330] lr: 1.000e-04, eta: 12:11:33, time: 0.503, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0624, loss_rpn_bbox: 0.0608, loss_cls: 0.3269, acc: 90.1597, loss_bbox: 0.3483, loss_mask: 0.3642, loss: 1.1625 2024-05-27 14:54:58,117 - mmdet - INFO - Epoch [1][2750/7330] lr: 1.000e-04, eta: 12:10:55, time: 0.507, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0634, loss_rpn_bbox: 0.0614, loss_cls: 0.3155, acc: 90.2590, loss_bbox: 0.3400, loss_mask: 0.3606, loss: 1.1410 2024-05-27 14:55:23,736 - mmdet - INFO - Epoch [1][2800/7330] lr: 1.000e-04, eta: 12:10:25, time: 0.512, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0630, loss_rpn_bbox: 0.0632, loss_cls: 0.3288, acc: 90.1028, loss_bbox: 0.3517, loss_mask: 0.3574, loss: 1.1641 2024-05-27 14:55:49,068 - mmdet - INFO - Epoch [1][2850/7330] lr: 1.000e-04, eta: 12:09:48, time: 0.507, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0610, loss_rpn_bbox: 0.0592, loss_cls: 0.3203, acc: 90.2048, loss_bbox: 0.3390, loss_mask: 0.3527, loss: 1.1322 2024-05-27 14:56:22,838 - mmdet - INFO - Epoch [1][2900/7330] lr: 1.000e-04, eta: 12:13:18, time: 0.675, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0592, loss_cls: 0.3081, acc: 90.6648, loss_bbox: 0.3310, loss_mask: 0.3587, loss: 1.1140 2024-05-27 14:56:50,483 - mmdet - INFO - Epoch [1][2950/7330] lr: 1.000e-04, eta: 12:13:43, time: 0.553, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0562, loss_cls: 0.3037, acc: 90.5371, loss_bbox: 0.3304, loss_mask: 0.3555, loss: 1.1035 2024-05-27 14:57:15,912 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 14:57:15,913 - mmdet - INFO - Epoch [1][3000/7330] lr: 1.000e-04, eta: 12:13:04, time: 0.508, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0582, loss_cls: 0.3132, acc: 90.4998, loss_bbox: 0.3358, loss_mask: 0.3511, loss: 1.1156 2024-05-27 14:57:41,258 - mmdet - INFO - Epoch [1][3050/7330] lr: 1.000e-04, eta: 12:12:23, time: 0.507, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0571, loss_cls: 0.3043, acc: 90.5662, loss_bbox: 0.3334, loss_mask: 0.3503, loss: 1.1038 2024-05-27 14:58:06,516 - mmdet - INFO - Epoch [1][3100/7330] lr: 1.000e-04, eta: 12:11:41, time: 0.505, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0624, loss_rpn_bbox: 0.0610, loss_cls: 0.3183, acc: 90.1372, loss_bbox: 0.3478, loss_mask: 0.3613, loss: 1.1508 2024-05-27 14:58:32,080 - mmdet - INFO - Epoch [1][3150/7330] lr: 1.000e-04, eta: 12:11:06, time: 0.511, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0626, loss_rpn_bbox: 0.0622, loss_cls: 0.3256, acc: 90.0190, loss_bbox: 0.3558, loss_mask: 0.3618, loss: 1.1680 2024-05-27 14:58:57,397 - mmdet - INFO - Epoch [1][3200/7330] lr: 1.000e-04, eta: 12:10:26, time: 0.506, data_time: 0.025, memory: 6051, loss_rpn_cls: 0.0624, loss_rpn_bbox: 0.0591, loss_cls: 0.3164, acc: 90.2710, loss_bbox: 0.3404, loss_mask: 0.3512, loss: 1.1296 2024-05-27 14:59:22,666 - mmdet - INFO - Epoch [1][3250/7330] lr: 1.000e-04, eta: 12:09:45, time: 0.506, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0623, loss_cls: 0.3165, acc: 90.2263, loss_bbox: 0.3463, loss_mask: 0.3522, loss: 1.1373 2024-05-27 14:59:47,924 - mmdet - INFO - Epoch [1][3300/7330] lr: 1.000e-04, eta: 12:09:04, time: 0.505, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0574, loss_cls: 0.3104, acc: 90.4390, loss_bbox: 0.3326, loss_mask: 0.3466, loss: 1.1021 2024-05-27 15:00:13,543 - mmdet - INFO - Epoch [1][3350/7330] lr: 1.000e-04, eta: 12:08:33, time: 0.512, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0632, loss_cls: 0.3111, acc: 90.3110, loss_bbox: 0.3457, loss_mask: 0.3481, loss: 1.1269 2024-05-27 15:00:38,929 - mmdet - INFO - Epoch [1][3400/7330] lr: 1.000e-04, eta: 12:07:56, time: 0.508, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0602, loss_rpn_bbox: 0.0614, loss_cls: 0.3144, acc: 90.2957, loss_bbox: 0.3423, loss_mask: 0.3499, loss: 1.1282 2024-05-27 15:01:04,377 - mmdet - INFO - Epoch [1][3450/7330] lr: 1.000e-04, eta: 12:07:21, time: 0.509, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0567, loss_cls: 0.2974, acc: 90.6726, loss_bbox: 0.3362, loss_mask: 0.3499, loss: 1.0956 2024-05-27 15:01:30,101 - mmdet - INFO - Epoch [1][3500/7330] lr: 1.000e-04, eta: 12:06:53, time: 0.514, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0651, loss_rpn_bbox: 0.0644, loss_cls: 0.3311, acc: 89.8000, loss_bbox: 0.3521, loss_mask: 0.3535, loss: 1.1663 2024-05-27 15:01:55,669 - mmdet - INFO - Epoch [1][3550/7330] lr: 1.000e-04, eta: 12:06:21, time: 0.511, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0594, loss_rpn_bbox: 0.0598, loss_cls: 0.3051, acc: 90.3447, loss_bbox: 0.3425, loss_mask: 0.3429, loss: 1.1098 2024-05-27 15:02:21,142 - mmdet - INFO - Epoch [1][3600/7330] lr: 1.000e-04, eta: 12:05:47, time: 0.509, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0613, loss_rpn_bbox: 0.0621, loss_cls: 0.3137, acc: 90.3679, loss_bbox: 0.3428, loss_mask: 0.3486, loss: 1.1285 2024-05-27 15:02:48,060 - mmdet - INFO - Epoch [1][3650/7330] lr: 1.000e-04, eta: 12:05:47, time: 0.538, data_time: 0.014, memory: 6051, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0586, loss_cls: 0.2976, acc: 90.6775, loss_bbox: 0.3322, loss_mask: 0.3492, loss: 1.0961 2024-05-27 15:03:23,170 - mmdet - INFO - Epoch [1][3700/7330] lr: 1.000e-04, eta: 12:08:53, time: 0.702, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0612, loss_cls: 0.3095, acc: 90.2397, loss_bbox: 0.3474, loss_mask: 0.3537, loss: 1.1303 2024-05-27 15:03:48,545 - mmdet - INFO - Epoch [1][3750/7330] lr: 1.000e-04, eta: 12:08:14, time: 0.508, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0556, loss_cls: 0.3026, acc: 90.6409, loss_bbox: 0.3337, loss_mask: 0.3428, loss: 1.0892 2024-05-27 15:04:13,978 - mmdet - INFO - Epoch [1][3800/7330] lr: 1.000e-04, eta: 12:07:36, time: 0.509, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0591, loss_cls: 0.3100, acc: 90.2432, loss_bbox: 0.3379, loss_mask: 0.3420, loss: 1.1075 2024-05-27 15:04:39,262 - mmdet - INFO - Epoch [1][3850/7330] lr: 1.000e-04, eta: 12:06:56, time: 0.506, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0626, loss_rpn_bbox: 0.0580, loss_cls: 0.2910, acc: 91.0916, loss_bbox: 0.3182, loss_mask: 0.3418, loss: 1.0716 2024-05-27 15:05:04,797 - mmdet - INFO - Epoch [1][3900/7330] lr: 1.000e-04, eta: 12:06:22, time: 0.511, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0557, loss_rpn_bbox: 0.0567, loss_cls: 0.2943, acc: 90.7935, loss_bbox: 0.3218, loss_mask: 0.3365, loss: 1.0650 2024-05-27 15:05:30,294 - mmdet - INFO - Epoch [1][3950/7330] lr: 1.000e-04, eta: 12:05:47, time: 0.510, data_time: 0.014, memory: 6051, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0560, loss_cls: 0.3038, acc: 90.5437, loss_bbox: 0.3390, loss_mask: 0.3356, loss: 1.0887 2024-05-27 15:05:55,939 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 15:05:55,939 - mmdet - INFO - Epoch [1][4000/7330] lr: 1.000e-04, eta: 12:05:15, time: 0.513, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0594, loss_cls: 0.3057, acc: 90.3596, loss_bbox: 0.3422, loss_mask: 0.3382, loss: 1.1016 2024-05-27 15:06:21,428 - mmdet - INFO - Epoch [1][4050/7330] lr: 1.000e-04, eta: 12:04:40, time: 0.510, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0586, loss_cls: 0.3168, acc: 90.0081, loss_bbox: 0.3437, loss_mask: 0.3474, loss: 1.1199 2024-05-27 15:06:46,990 - mmdet - INFO - Epoch [1][4100/7330] lr: 1.000e-04, eta: 12:04:07, time: 0.511, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0561, loss_cls: 0.2979, acc: 90.6091, loss_bbox: 0.3270, loss_mask: 0.3349, loss: 1.0724 2024-05-27 15:07:12,465 - mmdet - INFO - Epoch [1][4150/7330] lr: 1.000e-04, eta: 12:03:33, time: 0.509, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0548, loss_cls: 0.3060, acc: 90.4802, loss_bbox: 0.3291, loss_mask: 0.3379, loss: 1.0837 2024-05-27 15:07:37,963 - mmdet - INFO - Epoch [1][4200/7330] lr: 1.000e-04, eta: 12:02:59, time: 0.510, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0582, loss_cls: 0.2991, acc: 90.4436, loss_bbox: 0.3392, loss_mask: 0.3442, loss: 1.0981 2024-05-27 15:08:03,667 - mmdet - INFO - Epoch [1][4250/7330] lr: 1.000e-04, eta: 12:02:29, time: 0.514, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0565, loss_cls: 0.2960, acc: 90.4507, loss_bbox: 0.3359, loss_mask: 0.3379, loss: 1.0828 2024-05-27 15:08:29,035 - mmdet - INFO - Epoch [1][4300/7330] lr: 1.000e-04, eta: 12:01:53, time: 0.508, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0574, loss_cls: 0.2921, acc: 90.6606, loss_bbox: 0.3289, loss_mask: 0.3395, loss: 1.0750 2024-05-27 15:08:54,664 - mmdet - INFO - Epoch [1][4350/7330] lr: 1.000e-04, eta: 12:01:22, time: 0.513, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0558, loss_cls: 0.2888, acc: 90.7480, loss_bbox: 0.3208, loss_mask: 0.3347, loss: 1.0550 2024-05-27 15:09:21,963 - mmdet - INFO - Epoch [1][4400/7330] lr: 1.000e-04, eta: 12:01:23, time: 0.546, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0528, loss_cls: 0.2943, acc: 90.7920, loss_bbox: 0.3258, loss_mask: 0.3339, loss: 1.0570 2024-05-27 15:09:58,188 - mmdet - INFO - Epoch [1][4450/7330] lr: 1.000e-04, eta: 12:04:11, time: 0.725, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0568, loss_cls: 0.3084, acc: 90.2935, loss_bbox: 0.3425, loss_mask: 0.3435, loss: 1.1044 2024-05-27 15:10:23,668 - mmdet - INFO - Epoch [1][4500/7330] lr: 1.000e-04, eta: 12:03:35, time: 0.510, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0553, loss_cls: 0.2978, acc: 90.5247, loss_bbox: 0.3308, loss_mask: 0.3366, loss: 1.0743 2024-05-27 15:10:49,173 - mmdet - INFO - Epoch [1][4550/7330] lr: 1.000e-04, eta: 12:03:00, time: 0.510, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0589, loss_cls: 0.3088, acc: 90.3645, loss_bbox: 0.3357, loss_mask: 0.3387, loss: 1.0986 2024-05-27 15:11:14,592 - mmdet - INFO - Epoch [1][4600/7330] lr: 1.000e-04, eta: 12:02:23, time: 0.508, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0596, loss_cls: 0.3076, acc: 90.3391, loss_bbox: 0.3412, loss_mask: 0.3390, loss: 1.1061 2024-05-27 15:11:40,005 - mmdet - INFO - Epoch [1][4650/7330] lr: 1.000e-04, eta: 12:01:47, time: 0.508, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0577, loss_cls: 0.3052, acc: 90.2803, loss_bbox: 0.3378, loss_mask: 0.3323, loss: 1.0875 2024-05-27 15:12:05,504 - mmdet - INFO - Epoch [1][4700/7330] lr: 1.000e-04, eta: 12:01:12, time: 0.510, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0585, loss_cls: 0.2983, acc: 90.6931, loss_bbox: 0.3242, loss_mask: 0.3306, loss: 1.0694 2024-05-27 15:12:31,054 - mmdet - INFO - Epoch [1][4750/7330] lr: 1.000e-04, eta: 12:00:38, time: 0.511, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0536, loss_cls: 0.2997, acc: 90.6113, loss_bbox: 0.3366, loss_mask: 0.3307, loss: 1.0747 2024-05-27 15:12:56,461 - mmdet - INFO - Epoch [1][4800/7330] lr: 1.000e-04, eta: 12:00:02, time: 0.508, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0538, loss_cls: 0.3009, acc: 90.5149, loss_bbox: 0.3329, loss_mask: 0.3400, loss: 1.0811 2024-05-27 15:13:22,026 - mmdet - INFO - Epoch [1][4850/7330] lr: 1.000e-04, eta: 11:59:29, time: 0.511, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0578, loss_cls: 0.3014, acc: 90.5029, loss_bbox: 0.3268, loss_mask: 0.3321, loss: 1.0768 2024-05-27 15:13:47,445 - mmdet - INFO - Epoch [1][4900/7330] lr: 1.000e-04, eta: 11:58:54, time: 0.508, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0555, loss_cls: 0.2839, acc: 91.0789, loss_bbox: 0.3158, loss_mask: 0.3270, loss: 1.0348 2024-05-27 15:14:12,970 - mmdet - INFO - Epoch [1][4950/7330] lr: 1.000e-04, eta: 11:58:21, time: 0.510, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0588, loss_cls: 0.3001, acc: 90.4314, loss_bbox: 0.3363, loss_mask: 0.3332, loss: 1.0862 2024-05-27 15:14:38,402 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 15:14:38,402 - mmdet - INFO - Epoch [1][5000/7330] lr: 1.000e-04, eta: 11:57:46, time: 0.509, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0546, loss_cls: 0.2958, acc: 90.5059, loss_bbox: 0.3325, loss_mask: 0.3343, loss: 1.0715 2024-05-27 15:15:04,057 - mmdet - INFO - Epoch [1][5050/7330] lr: 1.000e-04, eta: 11:57:15, time: 0.513, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0581, loss_cls: 0.2968, acc: 90.4778, loss_bbox: 0.3326, loss_mask: 0.3241, loss: 1.0659 2024-05-27 15:15:29,835 - mmdet - INFO - Epoch [1][5100/7330] lr: 1.000e-04, eta: 11:56:46, time: 0.516, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0574, loss_cls: 0.2903, acc: 90.7219, loss_bbox: 0.3302, loss_mask: 0.3336, loss: 1.0650 2024-05-27 15:15:57,380 - mmdet - INFO - Epoch [1][5150/7330] lr: 1.000e-04, eta: 11:56:46, time: 0.551, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0541, loss_cls: 0.2905, acc: 90.6621, loss_bbox: 0.3301, loss_mask: 0.3295, loss: 1.0564 2024-05-27 15:16:32,759 - mmdet - INFO - Epoch [1][5200/7330] lr: 1.000e-04, eta: 11:58:50, time: 0.708, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0544, loss_cls: 0.3005, acc: 90.2878, loss_bbox: 0.3397, loss_mask: 0.3333, loss: 1.0803 2024-05-27 15:16:58,636 - mmdet - INFO - Epoch [1][5250/7330] lr: 1.000e-04, eta: 11:58:21, time: 0.517, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0611, loss_cls: 0.2983, acc: 90.4751, loss_bbox: 0.3329, loss_mask: 0.3237, loss: 1.0737 2024-05-27 15:17:24,328 - mmdet - INFO - Epoch [1][5300/7330] lr: 1.000e-04, eta: 11:57:49, time: 0.514, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0589, loss_cls: 0.2922, acc: 90.6372, loss_bbox: 0.3324, loss_mask: 0.3336, loss: 1.0736 2024-05-27 15:17:49,735 - mmdet - INFO - Epoch [1][5350/7330] lr: 1.000e-04, eta: 11:57:13, time: 0.508, data_time: 0.025, memory: 6051, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0513, loss_cls: 0.2676, acc: 91.3372, loss_bbox: 0.3085, loss_mask: 0.3227, loss: 0.9983 2024-05-27 15:18:15,285 - mmdet - INFO - Epoch [1][5400/7330] lr: 1.000e-04, eta: 11:56:39, time: 0.511, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0548, loss_cls: 0.2993, acc: 90.4424, loss_bbox: 0.3331, loss_mask: 0.3312, loss: 1.0716 2024-05-27 15:18:40,513 - mmdet - INFO - Epoch [1][5450/7330] lr: 1.000e-04, eta: 11:56:01, time: 0.505, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0503, loss_cls: 0.2824, acc: 91.0640, loss_bbox: 0.3111, loss_mask: 0.3201, loss: 1.0140 2024-05-27 15:19:06,056 - mmdet - INFO - Epoch [1][5500/7330] lr: 1.000e-04, eta: 11:55:27, time: 0.511, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0578, loss_cls: 0.2977, acc: 90.7273, loss_bbox: 0.3254, loss_mask: 0.3265, loss: 1.0601 2024-05-27 15:19:31,508 - mmdet - INFO - Epoch [1][5550/7330] lr: 1.000e-04, eta: 11:54:53, time: 0.509, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0531, loss_cls: 0.2919, acc: 90.7566, loss_bbox: 0.3246, loss_mask: 0.3210, loss: 1.0432 2024-05-27 15:19:57,639 - mmdet - INFO - Epoch [1][5600/7330] lr: 1.000e-04, eta: 11:54:29, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0587, loss_cls: 0.3032, acc: 90.2908, loss_bbox: 0.3436, loss_mask: 0.3260, loss: 1.0852 2024-05-27 15:20:23,322 - mmdet - INFO - Epoch [1][5650/7330] lr: 1.000e-04, eta: 11:53:58, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0524, loss_cls: 0.2823, acc: 90.9695, loss_bbox: 0.3230, loss_mask: 0.3169, loss: 1.0277 2024-05-27 15:20:48,742 - mmdet - INFO - Epoch [1][5700/7330] lr: 1.000e-04, eta: 11:53:23, time: 0.508, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0553, loss_cls: 0.2994, acc: 90.5312, loss_bbox: 0.3324, loss_mask: 0.3286, loss: 1.0705 2024-05-27 15:21:14,443 - mmdet - INFO - Epoch [1][5750/7330] lr: 1.000e-04, eta: 11:52:52, time: 0.514, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0552, loss_cls: 0.2958, acc: 90.7214, loss_bbox: 0.3287, loss_mask: 0.3289, loss: 1.0599 2024-05-27 15:21:39,903 - mmdet - INFO - Epoch [1][5800/7330] lr: 1.000e-04, eta: 11:52:18, time: 0.509, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0527, loss_cls: 0.2853, acc: 90.9431, loss_bbox: 0.3151, loss_mask: 0.3203, loss: 1.0253 2024-05-27 15:22:05,451 - mmdet - INFO - Epoch [1][5850/7330] lr: 1.000e-04, eta: 11:51:46, time: 0.511, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0560, loss_cls: 0.2952, acc: 90.5159, loss_bbox: 0.3346, loss_mask: 0.3251, loss: 1.0676 2024-05-27 15:22:33,090 - mmdet - INFO - Epoch [1][5900/7330] lr: 1.000e-04, eta: 11:51:43, time: 0.553, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0546, loss_cls: 0.2826, acc: 90.9802, loss_bbox: 0.3184, loss_mask: 0.3269, loss: 1.0323 2024-05-27 15:23:08,386 - mmdet - INFO - Epoch [1][5950/7330] lr: 1.000e-04, eta: 11:53:25, time: 0.706, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0578, loss_cls: 0.2906, acc: 90.8164, loss_bbox: 0.3260, loss_mask: 0.3281, loss: 1.0576 2024-05-27 15:23:34,084 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 15:23:34,084 - mmdet - INFO - Epoch [1][6000/7330] lr: 1.000e-04, eta: 11:52:53, time: 0.514, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0574, loss_cls: 0.2918, acc: 90.5657, loss_bbox: 0.3270, loss_mask: 0.3238, loss: 1.0530 2024-05-27 15:23:59,789 - mmdet - INFO - Epoch [1][6050/7330] lr: 1.000e-04, eta: 11:52:22, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0516, loss_cls: 0.2892, acc: 90.6873, loss_bbox: 0.3222, loss_mask: 0.3203, loss: 1.0313 2024-05-27 15:24:25,055 - mmdet - INFO - Epoch [1][6100/7330] lr: 1.000e-04, eta: 11:51:44, time: 0.505, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0540, loss_cls: 0.2818, acc: 90.9624, loss_bbox: 0.3164, loss_mask: 0.3168, loss: 1.0219 2024-05-27 15:24:50,492 - mmdet - INFO - Epoch [1][6150/7330] lr: 1.000e-04, eta: 11:51:09, time: 0.508, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0517, loss_cls: 0.2889, acc: 90.9492, loss_bbox: 0.3165, loss_mask: 0.3225, loss: 1.0293 2024-05-27 15:25:15,984 - mmdet - INFO - Epoch [1][6200/7330] lr: 1.000e-04, eta: 11:50:36, time: 0.510, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0547, loss_cls: 0.2804, acc: 90.8882, loss_bbox: 0.3263, loss_mask: 0.3250, loss: 1.0439 2024-05-27 15:25:41,604 - mmdet - INFO - Epoch [1][6250/7330] lr: 1.000e-04, eta: 11:50:04, time: 0.512, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0557, loss_cls: 0.2854, acc: 90.5769, loss_bbox: 0.3257, loss_mask: 0.3237, loss: 1.0466 2024-05-27 15:26:07,110 - mmdet - INFO - Epoch [1][6300/7330] lr: 1.000e-04, eta: 11:49:31, time: 0.510, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0545, loss_cls: 0.2944, acc: 90.5872, loss_bbox: 0.3260, loss_mask: 0.3237, loss: 1.0520 2024-05-27 15:26:32,747 - mmdet - INFO - Epoch [1][6350/7330] lr: 1.000e-04, eta: 11:48:59, time: 0.513, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0535, loss_cls: 0.2863, acc: 90.9404, loss_bbox: 0.3181, loss_mask: 0.3264, loss: 1.0366 2024-05-27 15:26:58,345 - mmdet - INFO - Epoch [1][6400/7330] lr: 1.000e-04, eta: 11:48:27, time: 0.512, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0556, loss_cls: 0.2896, acc: 90.5469, loss_bbox: 0.3318, loss_mask: 0.3210, loss: 1.0498 2024-05-27 15:27:24,006 - mmdet - INFO - Epoch [1][6450/7330] lr: 1.000e-04, eta: 11:47:56, time: 0.513, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0511, loss_cls: 0.2888, acc: 90.8984, loss_bbox: 0.3158, loss_mask: 0.3185, loss: 1.0223 2024-05-27 15:27:49,559 - mmdet - INFO - Epoch [1][6500/7330] lr: 1.000e-04, eta: 11:47:23, time: 0.511, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0514, loss_cls: 0.2779, acc: 91.1406, loss_bbox: 0.3103, loss_mask: 0.3188, loss: 1.0080 2024-05-27 15:28:15,094 - mmdet - INFO - Epoch [1][6550/7330] lr: 1.000e-04, eta: 11:46:51, time: 0.510, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0545, loss_cls: 0.2805, acc: 91.0125, loss_bbox: 0.3181, loss_mask: 0.3219, loss: 1.0286 2024-05-27 15:28:40,646 - mmdet - INFO - Epoch [1][6600/7330] lr: 1.000e-04, eta: 11:46:19, time: 0.511, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0564, loss_cls: 0.2904, acc: 90.6963, loss_bbox: 0.3268, loss_mask: 0.3193, loss: 1.0449 2024-05-27 15:29:06,170 - mmdet - INFO - Epoch [1][6650/7330] lr: 1.000e-04, eta: 11:45:46, time: 0.510, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0525, loss_cls: 0.2738, acc: 91.2197, loss_bbox: 0.3108, loss_mask: 0.3145, loss: 1.0011 2024-05-27 15:29:36,032 - mmdet - INFO - Epoch [1][6700/7330] lr: 1.000e-04, eta: 11:45:42, time: 0.557, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0546, loss_cls: 0.2914, acc: 90.5811, loss_bbox: 0.3259, loss_mask: 0.3221, loss: 1.0442 2024-05-27 15:30:10,291 - mmdet - INFO - Epoch [1][6750/7330] lr: 1.000e-04, eta: 11:47:19, time: 0.725, data_time: 0.060, memory: 6051, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0544, loss_cls: 0.2756, acc: 91.0530, loss_bbox: 0.3160, loss_mask: 0.3111, loss: 1.0087 2024-05-27 15:30:35,834 - mmdet - INFO - Epoch [1][6800/7330] lr: 1.000e-04, eta: 11:46:46, time: 0.511, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0498, loss_cls: 0.2863, acc: 90.8635, loss_bbox: 0.3189, loss_mask: 0.3164, loss: 1.0195 2024-05-27 15:31:01,842 - mmdet - INFO - Epoch [1][6850/7330] lr: 1.000e-04, eta: 11:46:18, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0544, loss_cls: 0.2862, acc: 90.8655, loss_bbox: 0.3181, loss_mask: 0.3202, loss: 1.0283 2024-05-27 15:31:27,403 - mmdet - INFO - Epoch [1][6900/7330] lr: 1.000e-04, eta: 11:45:46, time: 0.512, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0526, loss_cls: 0.2822, acc: 90.7949, loss_bbox: 0.3162, loss_mask: 0.3170, loss: 1.0180 2024-05-27 15:31:52,953 - mmdet - INFO - Epoch [1][6950/7330] lr: 1.000e-04, eta: 11:45:13, time: 0.511, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0527, loss_cls: 0.2761, acc: 90.9941, loss_bbox: 0.3153, loss_mask: 0.3079, loss: 1.0020 2024-05-27 15:32:18,638 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 15:32:18,638 - mmdet - INFO - Epoch [1][7000/7330] lr: 1.000e-04, eta: 11:44:42, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0542, loss_cls: 0.2804, acc: 90.8599, loss_bbox: 0.3232, loss_mask: 0.3156, loss: 1.0222 2024-05-27 15:32:44,364 - mmdet - INFO - Epoch [1][7050/7330] lr: 1.000e-04, eta: 11:44:11, time: 0.515, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0538, loss_cls: 0.2855, acc: 90.7017, loss_bbox: 0.3295, loss_mask: 0.3206, loss: 1.0381 2024-05-27 15:33:10,073 - mmdet - INFO - Epoch [1][7100/7330] lr: 1.000e-04, eta: 11:43:41, time: 0.514, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0555, loss_cls: 0.2795, acc: 90.9180, loss_bbox: 0.3218, loss_mask: 0.3223, loss: 1.0316 2024-05-27 15:33:35,421 - mmdet - INFO - Epoch [1][7150/7330] lr: 1.000e-04, eta: 11:43:06, time: 0.507, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0494, loss_cls: 0.2610, acc: 91.7329, loss_bbox: 0.2982, loss_mask: 0.3017, loss: 0.9569 2024-05-27 15:34:01,100 - mmdet - INFO - Epoch [1][7200/7330] lr: 1.000e-04, eta: 11:42:35, time: 0.514, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0529, loss_cls: 0.2783, acc: 91.0132, loss_bbox: 0.3106, loss_mask: 0.3172, loss: 1.0098 2024-05-27 15:34:26,657 - mmdet - INFO - Epoch [1][7250/7330] lr: 1.000e-04, eta: 11:42:03, time: 0.511, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0531, loss_cls: 0.2823, acc: 90.8489, loss_bbox: 0.3225, loss_mask: 0.3172, loss: 1.0281 2024-05-27 15:34:52,166 - mmdet - INFO - Epoch [1][7300/7330] lr: 1.000e-04, eta: 11:41:30, time: 0.510, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0547, loss_cls: 0.2816, acc: 90.9531, loss_bbox: 0.3218, loss_mask: 0.3209, loss: 1.0293 2024-05-27 15:35:08,378 - mmdet - INFO - Saving checkpoint at 1 epochs 2024-05-27 15:36:51,656 - mmdet - INFO - Evaluating bbox... 2024-05-27 15:37:15,362 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.274 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.509 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.270 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.133 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.301 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.411 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.401 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.401 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.401 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.202 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.440 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.580 2024-05-27 15:37:15,363 - mmdet - INFO - Evaluating segm... 2024-05-27 15:37:46,525 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.262 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.470 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.263 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.082 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.281 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.454 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.375 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.375 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.375 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.157 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.415 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.580 2024-05-27 15:37:46,869 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 15:37:46,869 - mmdet - INFO - Epoch(val) [1][625] bbox_mAP: 0.2740, bbox_mAP_50: 0.5090, bbox_mAP_75: 0.2700, bbox_mAP_s: 0.1330, bbox_mAP_m: 0.3010, bbox_mAP_l: 0.4110, bbox_mAP_copypaste: 0.274 0.509 0.270 0.133 0.301 0.411, segm_mAP: 0.2620, segm_mAP_50: 0.4700, segm_mAP_75: 0.2630, segm_mAP_s: 0.0820, segm_mAP_m: 0.2810, segm_mAP_l: 0.4540, segm_mAP_copypaste: 0.262 0.470 0.263 0.082 0.281 0.454 2024-05-27 15:38:21,795 - mmdet - INFO - Epoch [2][50/7330] lr: 1.000e-04, eta: 11:39:34, time: 0.698, data_time: 0.080, memory: 6051, loss_rpn_cls: 0.0416, loss_rpn_bbox: 0.0506, loss_cls: 0.2767, acc: 91.0889, loss_bbox: 0.3165, loss_mask: 0.3127, loss: 0.9981 2024-05-27 15:38:47,297 - mmdet - INFO - Epoch [2][100/7330] lr: 1.000e-04, eta: 11:39:02, time: 0.510, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0492, loss_cls: 0.2694, acc: 90.9814, loss_bbox: 0.3173, loss_mask: 0.3158, loss: 0.9948 2024-05-27 15:39:12,784 - mmdet - INFO - Epoch [2][150/7330] lr: 1.000e-04, eta: 11:38:30, time: 0.510, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0538, loss_cls: 0.2750, acc: 90.8904, loss_bbox: 0.3195, loss_mask: 0.3165, loss: 1.0140 2024-05-27 15:39:38,177 - mmdet - INFO - Epoch [2][200/7330] lr: 1.000e-04, eta: 11:37:57, time: 0.508, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0437, loss_rpn_bbox: 0.0526, loss_cls: 0.2736, acc: 90.9875, loss_bbox: 0.3138, loss_mask: 0.3089, loss: 0.9927 2024-05-27 15:40:03,923 - mmdet - INFO - Epoch [2][250/7330] lr: 1.000e-04, eta: 11:37:28, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0543, loss_cls: 0.2681, acc: 91.0283, loss_bbox: 0.3148, loss_mask: 0.3094, loss: 0.9915 2024-05-27 15:40:29,191 - mmdet - INFO - Epoch [2][300/7330] lr: 1.000e-04, eta: 11:36:54, time: 0.505, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0555, loss_cls: 0.2771, acc: 90.8188, loss_bbox: 0.3195, loss_mask: 0.3082, loss: 1.0100 2024-05-27 15:40:54,472 - mmdet - INFO - Epoch [2][350/7330] lr: 1.000e-04, eta: 11:36:20, time: 0.506, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0499, loss_cls: 0.2628, acc: 91.4478, loss_bbox: 0.2991, loss_mask: 0.3016, loss: 0.9565 2024-05-27 15:41:19,860 - mmdet - INFO - Epoch [2][400/7330] lr: 1.000e-04, eta: 11:35:48, time: 0.508, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0506, loss_cls: 0.2525, acc: 91.7161, loss_bbox: 0.2934, loss_mask: 0.3066, loss: 0.9514 2024-05-27 15:41:45,334 - mmdet - INFO - Epoch [2][450/7330] lr: 1.000e-04, eta: 11:35:16, time: 0.509, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0525, loss_cls: 0.2700, acc: 91.0168, loss_bbox: 0.3149, loss_mask: 0.3068, loss: 0.9906 2024-05-27 15:42:10,705 - mmdet - INFO - Epoch [2][500/7330] lr: 1.000e-04, eta: 11:34:43, time: 0.507, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0493, loss_cls: 0.2567, acc: 91.5615, loss_bbox: 0.2995, loss_mask: 0.3012, loss: 0.9489 2024-05-27 15:42:36,260 - mmdet - INFO - Epoch [2][550/7330] lr: 1.000e-04, eta: 11:34:13, time: 0.511, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0433, loss_rpn_bbox: 0.0528, loss_cls: 0.2786, acc: 90.8181, loss_bbox: 0.3247, loss_mask: 0.3170, loss: 1.0163 2024-05-27 15:43:01,827 - mmdet - INFO - Epoch [2][600/7330] lr: 1.000e-04, eta: 11:33:42, time: 0.511, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0502, loss_cls: 0.2750, acc: 90.9727, loss_bbox: 0.3175, loss_mask: 0.3082, loss: 0.9947 2024-05-27 15:43:27,386 - mmdet - INFO - Epoch [2][650/7330] lr: 1.000e-04, eta: 11:33:12, time: 0.511, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0528, loss_cls: 0.2720, acc: 91.1211, loss_bbox: 0.3099, loss_mask: 0.3116, loss: 0.9903 2024-05-27 15:43:52,695 - mmdet - INFO - Epoch [2][700/7330] lr: 1.000e-04, eta: 11:32:39, time: 0.506, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0525, loss_cls: 0.2623, acc: 91.4055, loss_bbox: 0.3096, loss_mask: 0.3046, loss: 0.9762 2024-05-27 15:44:20,207 - mmdet - INFO - Epoch [2][750/7330] lr: 1.000e-04, eta: 11:32:28, time: 0.550, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0519, loss_cls: 0.2700, acc: 91.0881, loss_bbox: 0.3048, loss_mask: 0.3085, loss: 0.9804 2024-05-27 15:44:45,531 - mmdet - INFO - Epoch [2][800/7330] lr: 1.000e-04, eta: 11:31:55, time: 0.507, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0514, loss_cls: 0.2653, acc: 91.2732, loss_bbox: 0.3072, loss_mask: 0.3032, loss: 0.9706 2024-05-27 15:45:10,923 - mmdet - INFO - Epoch [2][850/7330] lr: 1.000e-04, eta: 11:31:23, time: 0.508, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0520, loss_cls: 0.2687, acc: 91.1665, loss_bbox: 0.3111, loss_mask: 0.3020, loss: 0.9807 2024-05-27 15:45:53,494 - mmdet - INFO - Epoch [2][900/7330] lr: 1.000e-04, eta: 11:33:38, time: 0.851, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0436, loss_rpn_bbox: 0.0487, loss_cls: 0.2686, acc: 91.1228, loss_bbox: 0.3128, loss_mask: 0.3095, loss: 0.9832 2024-05-27 15:46:19,041 - mmdet - INFO - Epoch [2][950/7330] lr: 1.000e-04, eta: 11:33:06, time: 0.511, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0519, loss_cls: 0.2725, acc: 91.2329, loss_bbox: 0.3093, loss_mask: 0.3038, loss: 0.9873 2024-05-27 15:46:44,659 - mmdet - INFO - Epoch [2][1000/7330] lr: 1.000e-04, eta: 11:32:36, time: 0.512, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0509, loss_cls: 0.2624, acc: 91.3105, loss_bbox: 0.3031, loss_mask: 0.3055, loss: 0.9697 2024-05-27 15:47:10,284 - mmdet - INFO - Epoch [2][1050/7330] lr: 1.000e-04, eta: 11:32:05, time: 0.512, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0504, loss_cls: 0.2696, acc: 91.0051, loss_bbox: 0.3189, loss_mask: 0.3067, loss: 0.9899 2024-05-27 15:47:36,042 - mmdet - INFO - Epoch [2][1100/7330] lr: 1.000e-04, eta: 11:31:36, time: 0.515, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0426, loss_rpn_bbox: 0.0526, loss_cls: 0.2624, acc: 91.2773, loss_bbox: 0.3104, loss_mask: 0.3019, loss: 0.9699 2024-05-27 15:48:01,755 - mmdet - INFO - Epoch [2][1150/7330] lr: 1.000e-04, eta: 11:31:06, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0428, loss_rpn_bbox: 0.0493, loss_cls: 0.2610, acc: 91.3296, loss_bbox: 0.3063, loss_mask: 0.3031, loss: 0.9625 2024-05-27 15:48:27,315 - mmdet - INFO - Epoch [2][1200/7330] lr: 1.000e-04, eta: 11:30:35, time: 0.511, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0525, loss_cls: 0.2730, acc: 91.0652, loss_bbox: 0.3150, loss_mask: 0.3002, loss: 0.9891 2024-05-27 15:48:53,063 - mmdet - INFO - Epoch [2][1250/7330] lr: 1.000e-04, eta: 11:30:06, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0537, loss_cls: 0.2645, acc: 91.2349, loss_bbox: 0.3128, loss_mask: 0.2985, loss: 0.9750 2024-05-27 15:49:18,828 - mmdet - INFO - Epoch [2][1300/7330] lr: 1.000e-04, eta: 11:29:37, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0512, loss_cls: 0.2619, acc: 91.1157, loss_bbox: 0.3141, loss_mask: 0.2988, loss: 0.9725 2024-05-27 15:49:44,731 - mmdet - INFO - Epoch [2][1350/7330] lr: 1.000e-04, eta: 11:29:09, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0510, loss_cls: 0.2790, acc: 90.6377, loss_bbox: 0.3284, loss_mask: 0.3085, loss: 1.0121 2024-05-27 15:50:10,518 - mmdet - INFO - Epoch [2][1400/7330] lr: 1.000e-04, eta: 11:28:41, time: 0.516, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0481, loss_cls: 0.2600, acc: 91.4692, loss_bbox: 0.3013, loss_mask: 0.2999, loss: 0.9543 2024-05-27 15:50:36,314 - mmdet - INFO - Epoch [2][1450/7330] lr: 1.000e-04, eta: 11:28:12, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0522, loss_cls: 0.2689, acc: 91.0110, loss_bbox: 0.3143, loss_mask: 0.3065, loss: 0.9892 2024-05-27 15:51:02,199 - mmdet - INFO - Epoch [2][1500/7330] lr: 1.000e-04, eta: 11:27:44, time: 0.517, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0526, loss_cls: 0.2637, acc: 91.2549, loss_bbox: 0.3104, loss_mask: 0.2998, loss: 0.9722 2024-05-27 15:51:28,148 - mmdet - INFO - Epoch [2][1550/7330] lr: 1.000e-04, eta: 11:27:17, time: 0.519, data_time: 0.027, memory: 6051, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0552, loss_cls: 0.2717, acc: 91.0547, loss_bbox: 0.3102, loss_mask: 0.3060, loss: 0.9908 2024-05-27 15:51:54,234 - mmdet - INFO - Epoch [2][1600/7330] lr: 1.000e-04, eta: 11:26:51, time: 0.522, data_time: 0.026, memory: 6051, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0504, loss_cls: 0.2678, acc: 91.1619, loss_bbox: 0.3090, loss_mask: 0.3064, loss: 0.9776 2024-05-27 15:52:22,550 - mmdet - INFO - Epoch [2][1650/7330] lr: 1.000e-04, eta: 11:26:45, time: 0.566, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0504, loss_cls: 0.2594, acc: 91.3115, loss_bbox: 0.3039, loss_mask: 0.3046, loss: 0.9631 2024-05-27 15:52:48,261 - mmdet - INFO - Epoch [2][1700/7330] lr: 1.000e-04, eta: 11:26:15, time: 0.514, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0504, loss_cls: 0.2658, acc: 91.1643, loss_bbox: 0.3132, loss_mask: 0.3018, loss: 0.9729 2024-05-27 15:53:14,121 - mmdet - INFO - Epoch [2][1750/7330] lr: 1.000e-04, eta: 11:25:47, time: 0.517, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0507, loss_cls: 0.2669, acc: 91.2710, loss_bbox: 0.3079, loss_mask: 0.3081, loss: 0.9774 2024-05-27 15:53:54,912 - mmdet - INFO - Epoch [2][1800/7330] lr: 1.000e-04, eta: 11:27:28, time: 0.816, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0537, loss_cls: 0.2597, acc: 91.3032, loss_bbox: 0.3073, loss_mask: 0.3013, loss: 0.9671 2024-05-27 15:54:20,815 - mmdet - INFO - Epoch [2][1850/7330] lr: 1.000e-04, eta: 11:27:00, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0519, loss_cls: 0.2724, acc: 91.0337, loss_bbox: 0.3148, loss_mask: 0.2996, loss: 0.9853 2024-05-27 15:54:46,725 - mmdet - INFO - Epoch [2][1900/7330] lr: 1.000e-04, eta: 11:26:31, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0425, loss_rpn_bbox: 0.0510, loss_cls: 0.2705, acc: 91.1958, loss_bbox: 0.3101, loss_mask: 0.3091, loss: 0.9832 2024-05-27 15:55:12,750 - mmdet - INFO - Epoch [2][1950/7330] lr: 1.000e-04, eta: 11:26:04, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0427, loss_rpn_bbox: 0.0480, loss_cls: 0.2613, acc: 91.2915, loss_bbox: 0.3098, loss_mask: 0.3018, loss: 0.9637 2024-05-27 15:55:38,570 - mmdet - INFO - Epoch [2][2000/7330] lr: 1.000e-04, eta: 11:25:35, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0512, loss_cls: 0.2631, acc: 91.4260, loss_bbox: 0.2983, loss_mask: 0.3050, loss: 0.9627 2024-05-27 15:56:04,682 - mmdet - INFO - Epoch [2][2050/7330] lr: 1.000e-04, eta: 11:25:09, time: 0.522, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0430, loss_rpn_bbox: 0.0541, loss_cls: 0.2732, acc: 90.8716, loss_bbox: 0.3213, loss_mask: 0.3004, loss: 0.9920 2024-05-27 15:56:30,521 - mmdet - INFO - Epoch [2][2100/7330] lr: 1.000e-04, eta: 11:24:40, time: 0.517, data_time: 0.025, memory: 6051, loss_rpn_cls: 0.0419, loss_rpn_bbox: 0.0506, loss_cls: 0.2610, acc: 91.2793, loss_bbox: 0.3112, loss_mask: 0.3001, loss: 0.9649 2024-05-27 15:56:56,135 - mmdet - INFO - Epoch [2][2150/7330] lr: 1.000e-04, eta: 11:24:09, time: 0.512, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0515, loss_cls: 0.2699, acc: 91.1865, loss_bbox: 0.3081, loss_mask: 0.3051, loss: 0.9812 2024-05-27 15:57:21,640 - mmdet - INFO - Epoch [2][2200/7330] lr: 1.000e-04, eta: 11:23:38, time: 0.510, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0424, loss_rpn_bbox: 0.0494, loss_cls: 0.2569, acc: 91.4514, loss_bbox: 0.2978, loss_mask: 0.3011, loss: 0.9476 2024-05-27 15:57:47,154 - mmdet - INFO - Epoch [2][2250/7330] lr: 1.000e-04, eta: 11:23:06, time: 0.510, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0503, loss_cls: 0.2628, acc: 91.1309, loss_bbox: 0.3066, loss_mask: 0.3057, loss: 0.9716 2024-05-27 15:58:12,967 - mmdet - INFO - Epoch [2][2300/7330] lr: 1.000e-04, eta: 11:22:37, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0494, loss_cls: 0.2672, acc: 91.2827, loss_bbox: 0.3005, loss_mask: 0.2993, loss: 0.9615 2024-05-27 15:58:38,786 - mmdet - INFO - Epoch [2][2350/7330] lr: 1.000e-04, eta: 11:22:09, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0426, loss_rpn_bbox: 0.0491, loss_cls: 0.2545, acc: 91.2559, loss_bbox: 0.3067, loss_mask: 0.2983, loss: 0.9512 2024-05-27 15:59:04,734 - mmdet - INFO - Epoch [2][2400/7330] lr: 1.000e-04, eta: 11:21:41, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0505, loss_cls: 0.2643, acc: 91.2847, loss_bbox: 0.3104, loss_mask: 0.2974, loss: 0.9688 2024-05-27 15:59:30,463 - mmdet - INFO - Epoch [2][2450/7330] lr: 1.000e-04, eta: 11:21:12, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0424, loss_rpn_bbox: 0.0512, loss_cls: 0.2610, acc: 91.3599, loss_bbox: 0.3056, loss_mask: 0.3001, loss: 0.9604 2024-05-27 15:59:56,504 - mmdet - INFO - Epoch [2][2500/7330] lr: 1.000e-04, eta: 11:20:45, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0493, loss_cls: 0.2491, acc: 91.7603, loss_bbox: 0.2955, loss_mask: 0.3019, loss: 0.9426 2024-05-27 16:00:26,220 - mmdet - INFO - Epoch [2][2550/7330] lr: 1.000e-04, eta: 11:20:47, time: 0.594, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0413, loss_rpn_bbox: 0.0471, loss_cls: 0.2549, acc: 91.4360, loss_bbox: 0.2989, loss_mask: 0.2880, loss: 0.9302 2024-05-27 16:00:51,910 - mmdet - INFO - Epoch [2][2600/7330] lr: 1.000e-04, eta: 11:20:17, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0413, loss_rpn_bbox: 0.0488, loss_cls: 0.2505, acc: 91.6609, loss_bbox: 0.2952, loss_mask: 0.2978, loss: 0.9336 2024-05-27 16:01:17,529 - mmdet - INFO - Epoch [2][2650/7330] lr: 1.000e-04, eta: 11:19:47, time: 0.512, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0450, loss_cls: 0.2528, acc: 91.6877, loss_bbox: 0.2871, loss_mask: 0.2919, loss: 0.9134 2024-05-27 16:01:56,963 - mmdet - INFO - Epoch [2][2700/7330] lr: 1.000e-04, eta: 11:21:04, time: 0.789, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0517, loss_cls: 0.2541, acc: 91.6184, loss_bbox: 0.2956, loss_mask: 0.2981, loss: 0.9464 2024-05-27 16:02:22,653 - mmdet - INFO - Epoch [2][2750/7330] lr: 1.000e-04, eta: 11:20:33, time: 0.514, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0426, loss_rpn_bbox: 0.0517, loss_cls: 0.2694, acc: 90.9695, loss_bbox: 0.3110, loss_mask: 0.3047, loss: 0.9794 2024-05-27 16:02:48,641 - mmdet - INFO - Epoch [2][2800/7330] lr: 1.000e-04, eta: 11:20:05, time: 0.520, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0423, loss_rpn_bbox: 0.0491, loss_cls: 0.2544, acc: 91.6340, loss_bbox: 0.3005, loss_mask: 0.2925, loss: 0.9389 2024-05-27 16:03:14,262 - mmdet - INFO - Epoch [2][2850/7330] lr: 1.000e-04, eta: 11:19:34, time: 0.512, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0427, loss_rpn_bbox: 0.0499, loss_cls: 0.2581, acc: 91.4060, loss_bbox: 0.2978, loss_mask: 0.2933, loss: 0.9417 2024-05-27 16:03:39,912 - mmdet - INFO - Epoch [2][2900/7330] lr: 1.000e-04, eta: 11:19:04, time: 0.513, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0508, loss_cls: 0.2565, acc: 91.4160, loss_bbox: 0.3001, loss_mask: 0.3000, loss: 0.9491 2024-05-27 16:04:05,558 - mmdet - INFO - Epoch [2][2950/7330] lr: 1.000e-04, eta: 11:18:34, time: 0.513, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0416, loss_rpn_bbox: 0.0487, loss_cls: 0.2548, acc: 91.6938, loss_bbox: 0.2915, loss_mask: 0.2943, loss: 0.9310 2024-05-27 16:04:31,276 - mmdet - INFO - Epoch [2][3000/7330] lr: 1.000e-04, eta: 11:18:04, time: 0.514, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0451, loss_cls: 0.2515, acc: 91.6047, loss_bbox: 0.2926, loss_mask: 0.2920, loss: 0.9223 2024-05-27 16:04:57,244 - mmdet - INFO - Epoch [2][3050/7330] lr: 1.000e-04, eta: 11:17:36, time: 0.519, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0429, loss_rpn_bbox: 0.0501, loss_cls: 0.2649, acc: 91.1626, loss_bbox: 0.3080, loss_mask: 0.3000, loss: 0.9660 2024-05-27 16:05:22,947 - mmdet - INFO - Epoch [2][3100/7330] lr: 1.000e-04, eta: 11:17:06, time: 0.514, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0506, loss_cls: 0.2519, acc: 91.6060, loss_bbox: 0.2957, loss_mask: 0.2887, loss: 0.9287 2024-05-27 16:05:48,792 - mmdet - INFO - Epoch [2][3150/7330] lr: 1.000e-04, eta: 11:16:37, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0438, loss_rpn_bbox: 0.0493, loss_cls: 0.2506, acc: 91.6125, loss_bbox: 0.2982, loss_mask: 0.2953, loss: 0.9372 2024-05-27 16:06:14,562 - mmdet - INFO - Epoch [2][3200/7330] lr: 1.000e-04, eta: 11:16:08, time: 0.515, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0537, loss_cls: 0.2578, acc: 91.3965, loss_bbox: 0.3036, loss_mask: 0.2953, loss: 0.9565 2024-05-27 16:06:40,424 - mmdet - INFO - Epoch [2][3250/7330] lr: 1.000e-04, eta: 11:15:39, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0396, loss_rpn_bbox: 0.0449, loss_cls: 0.2386, acc: 92.0381, loss_bbox: 0.2780, loss_mask: 0.2848, loss: 0.8860 2024-05-27 16:07:06,024 - mmdet - INFO - Epoch [2][3300/7330] lr: 1.000e-04, eta: 11:15:08, time: 0.512, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0498, loss_cls: 0.2555, acc: 91.5637, loss_bbox: 0.2944, loss_mask: 0.2994, loss: 0.9427 2024-05-27 16:07:31,514 - mmdet - INFO - Epoch [2][3350/7330] lr: 1.000e-04, eta: 11:14:37, time: 0.510, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0433, loss_rpn_bbox: 0.0503, loss_cls: 0.2627, acc: 91.3123, loss_bbox: 0.3032, loss_mask: 0.2926, loss: 0.9522 2024-05-27 16:07:57,478 - mmdet - INFO - Epoch [2][3400/7330] lr: 1.000e-04, eta: 11:14:09, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0520, loss_cls: 0.2668, acc: 91.1382, loss_bbox: 0.3149, loss_mask: 0.3039, loss: 0.9826 2024-05-27 16:08:25,823 - mmdet - INFO - Epoch [2][3450/7330] lr: 1.000e-04, eta: 11:13:59, time: 0.567, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0512, loss_cls: 0.2592, acc: 91.3884, loss_bbox: 0.3027, loss_mask: 0.3020, loss: 0.9614 2024-05-27 16:08:51,699 - mmdet - INFO - Epoch [2][3500/7330] lr: 1.000e-04, eta: 11:13:30, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0398, loss_rpn_bbox: 0.0477, loss_cls: 0.2507, acc: 91.5908, loss_bbox: 0.2887, loss_mask: 0.2881, loss: 0.9150 2024-05-27 16:09:17,382 - mmdet - INFO - Epoch [2][3550/7330] lr: 1.000e-04, eta: 11:13:00, time: 0.513, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0463, loss_cls: 0.2490, acc: 91.7603, loss_bbox: 0.2877, loss_mask: 0.2896, loss: 0.9135 2024-05-27 16:09:56,617 - mmdet - INFO - Epoch [2][3600/7330] lr: 1.000e-04, eta: 11:14:06, time: 0.785, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0396, loss_rpn_bbox: 0.0484, loss_cls: 0.2564, acc: 91.5896, loss_bbox: 0.2917, loss_mask: 0.2861, loss: 0.9223 2024-05-27 16:10:22,313 - mmdet - INFO - Epoch [2][3650/7330] lr: 1.000e-04, eta: 11:13:36, time: 0.514, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0503, loss_cls: 0.2588, acc: 91.3010, loss_bbox: 0.3042, loss_mask: 0.3004, loss: 0.9573 2024-05-27 16:10:48,408 - mmdet - INFO - Epoch [2][3700/7330] lr: 1.000e-04, eta: 11:13:09, time: 0.522, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0518, loss_cls: 0.2688, acc: 91.0273, loss_bbox: 0.3071, loss_mask: 0.2977, loss: 0.9740 2024-05-27 16:11:14,152 - mmdet - INFO - Epoch [2][3750/7330] lr: 1.000e-04, eta: 11:12:39, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0512, loss_cls: 0.2677, acc: 91.1191, loss_bbox: 0.3064, loss_mask: 0.2984, loss: 0.9683 2024-05-27 16:11:39,896 - mmdet - INFO - Epoch [2][3800/7330] lr: 1.000e-04, eta: 11:12:09, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0410, loss_rpn_bbox: 0.0483, loss_cls: 0.2461, acc: 91.7720, loss_bbox: 0.2865, loss_mask: 0.2893, loss: 0.9113 2024-05-27 16:12:05,953 - mmdet - INFO - Epoch [2][3850/7330] lr: 1.000e-04, eta: 11:11:41, time: 0.521, data_time: 0.025, memory: 6051, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0539, loss_cls: 0.2730, acc: 90.9727, loss_bbox: 0.3118, loss_mask: 0.2988, loss: 0.9841 2024-05-27 16:12:31,562 - mmdet - INFO - Epoch [2][3900/7330] lr: 1.000e-04, eta: 11:11:11, time: 0.512, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0520, loss_cls: 0.2614, acc: 91.3013, loss_bbox: 0.3021, loss_mask: 0.2941, loss: 0.9542 2024-05-27 16:12:57,282 - mmdet - INFO - Epoch [2][3950/7330] lr: 1.000e-04, eta: 11:10:41, time: 0.514, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0499, loss_cls: 0.2582, acc: 91.4250, loss_bbox: 0.3008, loss_mask: 0.2896, loss: 0.9428 2024-05-27 16:13:23,358 - mmdet - INFO - Epoch [2][4000/7330] lr: 1.000e-04, eta: 11:10:14, time: 0.522, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0430, loss_rpn_bbox: 0.0514, loss_cls: 0.2679, acc: 91.0764, loss_bbox: 0.3082, loss_mask: 0.2879, loss: 0.9584 2024-05-27 16:13:48,981 - mmdet - INFO - Epoch [2][4050/7330] lr: 1.000e-04, eta: 11:09:43, time: 0.512, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0506, loss_cls: 0.2560, acc: 91.4639, loss_bbox: 0.2994, loss_mask: 0.2982, loss: 0.9484 2024-05-27 16:14:14,773 - mmdet - INFO - Epoch [2][4100/7330] lr: 1.000e-04, eta: 11:09:14, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0509, loss_cls: 0.2627, acc: 91.2427, loss_bbox: 0.3046, loss_mask: 0.2972, loss: 0.9600 2024-05-27 16:14:40,418 - mmdet - INFO - Epoch [2][4150/7330] lr: 1.000e-04, eta: 11:08:44, time: 0.513, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0425, loss_rpn_bbox: 0.0506, loss_cls: 0.2502, acc: 91.7166, loss_bbox: 0.2880, loss_mask: 0.2893, loss: 0.9205 2024-05-27 16:15:06,131 - mmdet - INFO - Epoch [2][4200/7330] lr: 1.000e-04, eta: 11:08:14, time: 0.514, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0398, loss_rpn_bbox: 0.0490, loss_cls: 0.2445, acc: 91.6863, loss_bbox: 0.2952, loss_mask: 0.2872, loss: 0.9158 2024-05-27 16:15:31,709 - mmdet - INFO - Epoch [2][4250/7330] lr: 1.000e-04, eta: 11:07:44, time: 0.512, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0424, loss_rpn_bbox: 0.0477, loss_cls: 0.2458, acc: 91.9629, loss_bbox: 0.2853, loss_mask: 0.2814, loss: 0.9026 2024-05-27 16:15:57,632 - mmdet - INFO - Epoch [2][4300/7330] lr: 1.000e-04, eta: 11:07:16, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0405, loss_rpn_bbox: 0.0480, loss_cls: 0.2499, acc: 91.7039, loss_bbox: 0.2880, loss_mask: 0.2922, loss: 0.9186 2024-05-27 16:16:25,511 - mmdet - INFO - Epoch [2][4350/7330] lr: 1.000e-04, eta: 11:07:00, time: 0.558, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0483, loss_cls: 0.2590, acc: 91.3762, loss_bbox: 0.2965, loss_mask: 0.2875, loss: 0.9315 2024-05-27 16:16:51,218 - mmdet - INFO - Epoch [2][4400/7330] lr: 1.000e-04, eta: 11:06:30, time: 0.514, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0491, loss_cls: 0.2496, acc: 91.6184, loss_bbox: 0.2958, loss_mask: 0.2875, loss: 0.9221 2024-05-27 16:17:19,681 - mmdet - INFO - Epoch [2][4450/7330] lr: 1.000e-04, eta: 11:06:19, time: 0.569, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0478, loss_cls: 0.2585, acc: 91.2598, loss_bbox: 0.3066, loss_mask: 0.2870, loss: 0.9408 2024-05-27 16:17:56,853 - mmdet - INFO - Epoch [2][4500/7330] lr: 1.000e-04, eta: 11:07:03, time: 0.743, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0496, loss_cls: 0.2514, acc: 91.5439, loss_bbox: 0.2978, loss_mask: 0.2917, loss: 0.9304 2024-05-27 16:18:22,599 - mmdet - INFO - Epoch [2][4550/7330] lr: 1.000e-04, eta: 11:06:33, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0432, loss_rpn_bbox: 0.0483, loss_cls: 0.2658, acc: 91.3079, loss_bbox: 0.3047, loss_mask: 0.2959, loss: 0.9579 2024-05-27 16:18:48,475 - mmdet - INFO - Epoch [2][4600/7330] lr: 1.000e-04, eta: 11:06:04, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0469, loss_cls: 0.2612, acc: 91.3896, loss_bbox: 0.2950, loss_mask: 0.2852, loss: 0.9291 2024-05-27 16:19:14,143 - mmdet - INFO - Epoch [2][4650/7330] lr: 1.000e-04, eta: 11:05:34, time: 0.513, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0466, loss_cls: 0.2503, acc: 91.6963, loss_bbox: 0.2922, loss_mask: 0.2820, loss: 0.9106 2024-05-27 16:19:40,012 - mmdet - INFO - Epoch [2][4700/7330] lr: 1.000e-04, eta: 11:05:05, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0421, loss_rpn_bbox: 0.0480, loss_cls: 0.2513, acc: 91.5542, loss_bbox: 0.2954, loss_mask: 0.2912, loss: 0.9279 2024-05-27 16:20:05,958 - mmdet - INFO - Epoch [2][4750/7330] lr: 1.000e-04, eta: 11:04:37, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0499, loss_cls: 0.2548, acc: 91.4275, loss_bbox: 0.2948, loss_mask: 0.2902, loss: 0.9337 2024-05-27 16:20:31,832 - mmdet - INFO - Epoch [2][4800/7330] lr: 1.000e-04, eta: 11:04:08, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0479, loss_cls: 0.2542, acc: 91.4917, loss_bbox: 0.2956, loss_mask: 0.2951, loss: 0.9370 2024-05-27 16:20:57,554 - mmdet - INFO - Epoch [2][4850/7330] lr: 1.000e-04, eta: 11:03:38, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0421, loss_rpn_bbox: 0.0490, loss_cls: 0.2537, acc: 91.5500, loss_bbox: 0.2915, loss_mask: 0.2891, loss: 0.9252 2024-05-27 16:21:23,434 - mmdet - INFO - Epoch [2][4900/7330] lr: 1.000e-04, eta: 11:03:10, time: 0.518, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0477, loss_cls: 0.2589, acc: 91.3635, loss_bbox: 0.2970, loss_mask: 0.2840, loss: 0.9289 2024-05-27 16:21:49,179 - mmdet - INFO - Epoch [2][4950/7330] lr: 1.000e-04, eta: 11:02:40, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0483, loss_cls: 0.2547, acc: 91.4546, loss_bbox: 0.2976, loss_mask: 0.2876, loss: 0.9287 2024-05-27 16:22:14,839 - mmdet - INFO - Epoch [2][5000/7330] lr: 1.000e-04, eta: 11:02:10, time: 0.513, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0426, loss_rpn_bbox: 0.0486, loss_cls: 0.2490, acc: 91.7898, loss_bbox: 0.2887, loss_mask: 0.2915, loss: 0.9204 2024-05-27 16:22:40,660 - mmdet - INFO - Epoch [2][5050/7330] lr: 1.000e-04, eta: 11:01:41, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0423, loss_rpn_bbox: 0.0484, loss_cls: 0.2561, acc: 91.6060, loss_bbox: 0.2947, loss_mask: 0.2901, loss: 0.9317 2024-05-27 16:23:06,539 - mmdet - INFO - Epoch [2][5100/7330] lr: 1.000e-04, eta: 11:01:12, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0478, loss_cls: 0.2507, acc: 91.6675, loss_bbox: 0.2919, loss_mask: 0.2868, loss: 0.9173 2024-05-27 16:23:32,271 - mmdet - INFO - Epoch [2][5150/7330] lr: 1.000e-04, eta: 11:00:43, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0476, loss_cls: 0.2551, acc: 91.5862, loss_bbox: 0.2966, loss_mask: 0.2951, loss: 0.9353 2024-05-27 16:24:00,175 - mmdet - INFO - Epoch [2][5200/7330] lr: 1.000e-04, eta: 11:00:27, time: 0.558, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0485, loss_cls: 0.2554, acc: 91.4434, loss_bbox: 0.3009, loss_mask: 0.2954, loss: 0.9436 2024-05-27 16:24:26,162 - mmdet - INFO - Epoch [2][5250/7330] lr: 1.000e-04, eta: 10:59:59, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0407, loss_rpn_bbox: 0.0475, loss_cls: 0.2497, acc: 91.7615, loss_bbox: 0.2952, loss_mask: 0.2947, loss: 0.9277 2024-05-27 16:24:51,855 - mmdet - INFO - Epoch [2][5300/7330] lr: 1.000e-04, eta: 10:59:29, time: 0.514, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0443, loss_cls: 0.2468, acc: 91.8303, loss_bbox: 0.2866, loss_mask: 0.2911, loss: 0.9069 2024-05-27 16:25:20,321 - mmdet - INFO - Epoch [2][5350/7330] lr: 1.000e-04, eta: 10:59:16, time: 0.569, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0458, loss_cls: 0.2449, acc: 91.7710, loss_bbox: 0.2869, loss_mask: 0.2870, loss: 0.9019 2024-05-27 16:25:57,251 - mmdet - INFO - Epoch [2][5400/7330] lr: 1.000e-04, eta: 10:59:52, time: 0.739, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0499, loss_cls: 0.2525, acc: 91.5493, loss_bbox: 0.2977, loss_mask: 0.2875, loss: 0.9288 2024-05-27 16:26:23,058 - mmdet - INFO - Epoch [2][5450/7330] lr: 1.000e-04, eta: 10:59:23, time: 0.516, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0432, loss_rpn_bbox: 0.0493, loss_cls: 0.2551, acc: 91.5654, loss_bbox: 0.2934, loss_mask: 0.2924, loss: 0.9333 2024-05-27 16:26:49,022 - mmdet - INFO - Epoch [2][5500/7330] lr: 1.000e-04, eta: 10:58:55, time: 0.519, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0401, loss_rpn_bbox: 0.0479, loss_cls: 0.2449, acc: 91.8413, loss_bbox: 0.2890, loss_mask: 0.2861, loss: 0.9080 2024-05-27 16:27:15,030 - mmdet - INFO - Epoch [2][5550/7330] lr: 1.000e-04, eta: 10:58:27, time: 0.520, data_time: 0.026, memory: 6051, loss_rpn_cls: 0.0428, loss_rpn_bbox: 0.0482, loss_cls: 0.2492, acc: 91.6213, loss_bbox: 0.2962, loss_mask: 0.2864, loss: 0.9227 2024-05-27 16:27:41,097 - mmdet - INFO - Epoch [2][5600/7330] lr: 1.000e-04, eta: 10:57:59, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0416, loss_rpn_bbox: 0.0494, loss_cls: 0.2535, acc: 91.3513, loss_bbox: 0.2988, loss_mask: 0.2944, loss: 0.9377 2024-05-27 16:28:06,866 - mmdet - INFO - Epoch [2][5650/7330] lr: 1.000e-04, eta: 10:57:30, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0500, loss_cls: 0.2521, acc: 91.4512, loss_bbox: 0.2952, loss_mask: 0.2873, loss: 0.9258 2024-05-27 16:28:32,668 - mmdet - INFO - Epoch [2][5700/7330] lr: 1.000e-04, eta: 10:57:00, time: 0.516, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0407, loss_rpn_bbox: 0.0476, loss_cls: 0.2512, acc: 91.5784, loss_bbox: 0.2981, loss_mask: 0.2846, loss: 0.9221 2024-05-27 16:28:58,472 - mmdet - INFO - Epoch [2][5750/7330] lr: 1.000e-04, eta: 10:56:31, time: 0.516, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0383, loss_rpn_bbox: 0.0464, loss_cls: 0.2541, acc: 91.5466, loss_bbox: 0.2904, loss_mask: 0.2817, loss: 0.9109 2024-05-27 16:29:24,405 - mmdet - INFO - Epoch [2][5800/7330] lr: 1.000e-04, eta: 10:56:03, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0501, loss_cls: 0.2629, acc: 91.3579, loss_bbox: 0.2963, loss_mask: 0.2891, loss: 0.9434 2024-05-27 16:29:50,599 - mmdet - INFO - Epoch [2][5850/7330] lr: 1.000e-04, eta: 10:55:36, time: 0.524, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0493, loss_cls: 0.2453, acc: 91.8667, loss_bbox: 0.2887, loss_mask: 0.2874, loss: 0.9138 2024-05-27 16:30:16,515 - mmdet - INFO - Epoch [2][5900/7330] lr: 1.000e-04, eta: 10:55:07, time: 0.519, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0420, loss_rpn_bbox: 0.0488, loss_cls: 0.2571, acc: 91.4717, loss_bbox: 0.2920, loss_mask: 0.2897, loss: 0.9296 2024-05-27 16:30:42,488 - mmdet - INFO - Epoch [2][5950/7330] lr: 1.000e-04, eta: 10:54:39, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0465, loss_cls: 0.2466, acc: 91.6599, loss_bbox: 0.2937, loss_mask: 0.2780, loss: 0.9026 2024-05-27 16:31:08,378 - mmdet - INFO - Epoch [2][6000/7330] lr: 1.000e-04, eta: 10:54:11, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0469, loss_cls: 0.2486, acc: 91.5811, loss_bbox: 0.2887, loss_mask: 0.2901, loss: 0.9154 2024-05-27 16:31:34,512 - mmdet - INFO - Epoch [2][6050/7330] lr: 1.000e-04, eta: 10:53:43, time: 0.522, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0518, loss_cls: 0.2617, acc: 91.1138, loss_bbox: 0.3075, loss_mask: 0.2906, loss: 0.9606 2024-05-27 16:32:02,450 - mmdet - INFO - Epoch [2][6100/7330] lr: 1.000e-04, eta: 10:53:26, time: 0.559, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0489, loss_cls: 0.2383, acc: 91.9573, loss_bbox: 0.2851, loss_mask: 0.2880, loss: 0.8998 2024-05-27 16:32:28,034 - mmdet - INFO - Epoch [2][6150/7330] lr: 1.000e-04, eta: 10:52:56, time: 0.512, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0408, loss_rpn_bbox: 0.0447, loss_cls: 0.2322, acc: 92.2136, loss_bbox: 0.2748, loss_mask: 0.2776, loss: 0.8701 2024-05-27 16:32:54,009 - mmdet - INFO - Epoch [2][6200/7330] lr: 1.000e-04, eta: 10:52:28, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0432, loss_rpn_bbox: 0.0477, loss_cls: 0.2447, acc: 91.8928, loss_bbox: 0.2838, loss_mask: 0.2883, loss: 0.9077 2024-05-27 16:33:21,889 - mmdet - INFO - Epoch [2][6250/7330] lr: 1.000e-04, eta: 10:52:10, time: 0.558, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0461, loss_cls: 0.2441, acc: 91.8159, loss_bbox: 0.2836, loss_mask: 0.2818, loss: 0.8937 2024-05-27 16:34:01,398 - mmdet - INFO - Epoch [2][6300/7330] lr: 1.000e-04, eta: 10:52:56, time: 0.790, data_time: 0.026, memory: 6051, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0500, loss_cls: 0.2558, acc: 91.4482, loss_bbox: 0.3002, loss_mask: 0.2876, loss: 0.9394 2024-05-27 16:34:27,002 - mmdet - INFO - Epoch [2][6350/7330] lr: 1.000e-04, eta: 10:52:25, time: 0.512, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0452, loss_cls: 0.2493, acc: 91.7144, loss_bbox: 0.2814, loss_mask: 0.2792, loss: 0.8923 2024-05-27 16:34:52,837 - mmdet - INFO - Epoch [2][6400/7330] lr: 1.000e-04, eta: 10:51:56, time: 0.517, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0426, loss_rpn_bbox: 0.0479, loss_cls: 0.2511, acc: 91.7405, loss_bbox: 0.2882, loss_mask: 0.2887, loss: 0.9185 2024-05-27 16:35:18,929 - mmdet - INFO - Epoch [2][6450/7330] lr: 1.000e-04, eta: 10:51:29, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0403, loss_rpn_bbox: 0.0479, loss_cls: 0.2507, acc: 91.6345, loss_bbox: 0.2892, loss_mask: 0.2908, loss: 0.9189 2024-05-27 16:35:44,657 - mmdet - INFO - Epoch [2][6500/7330] lr: 1.000e-04, eta: 10:50:59, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0385, loss_rpn_bbox: 0.0477, loss_cls: 0.2431, acc: 91.6731, loss_bbox: 0.2884, loss_mask: 0.2877, loss: 0.9054 2024-05-27 16:36:10,583 - mmdet - INFO - Epoch [2][6550/7330] lr: 1.000e-04, eta: 10:50:30, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0385, loss_rpn_bbox: 0.0462, loss_cls: 0.2418, acc: 91.8008, loss_bbox: 0.2831, loss_mask: 0.2870, loss: 0.8966 2024-05-27 16:36:36,385 - mmdet - INFO - Epoch [2][6600/7330] lr: 1.000e-04, eta: 10:50:01, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0430, loss_rpn_bbox: 0.0500, loss_cls: 0.2546, acc: 91.4321, loss_bbox: 0.2988, loss_mask: 0.2850, loss: 0.9314 2024-05-27 16:37:02,660 - mmdet - INFO - Epoch [2][6650/7330] lr: 1.000e-04, eta: 10:49:34, time: 0.525, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0511, loss_cls: 0.2564, acc: 91.2007, loss_bbox: 0.3053, loss_mask: 0.2940, loss: 0.9462 2024-05-27 16:37:28,684 - mmdet - INFO - Epoch [2][6700/7330] lr: 1.000e-04, eta: 10:49:06, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0410, loss_rpn_bbox: 0.0513, loss_cls: 0.2450, acc: 91.6787, loss_bbox: 0.2878, loss_mask: 0.2846, loss: 0.9097 2024-05-27 16:37:54,425 - mmdet - INFO - Epoch [2][6750/7330] lr: 1.000e-04, eta: 10:48:37, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0468, loss_cls: 0.2456, acc: 91.9172, loss_bbox: 0.2813, loss_mask: 0.2816, loss: 0.8939 2024-05-27 16:38:20,137 - mmdet - INFO - Epoch [2][6800/7330] lr: 1.000e-04, eta: 10:48:07, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0415, loss_rpn_bbox: 0.0471, loss_cls: 0.2534, acc: 91.6494, loss_bbox: 0.2871, loss_mask: 0.2850, loss: 0.9141 2024-05-27 16:38:46,166 - mmdet - INFO - Epoch [2][6850/7330] lr: 1.000e-04, eta: 10:47:39, time: 0.521, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0463, loss_cls: 0.2529, acc: 91.5815, loss_bbox: 0.2898, loss_mask: 0.2838, loss: 0.9110 2024-05-27 16:39:12,116 - mmdet - INFO - Epoch [2][6900/7330] lr: 1.000e-04, eta: 10:47:11, time: 0.519, data_time: 0.026, memory: 6051, loss_rpn_cls: 0.0427, loss_rpn_bbox: 0.0495, loss_cls: 0.2537, acc: 91.4854, loss_bbox: 0.2973, loss_mask: 0.2920, loss: 0.9352 2024-05-27 16:39:38,359 - mmdet - INFO - Epoch [2][6950/7330] lr: 1.000e-04, eta: 10:46:44, time: 0.524, data_time: 0.027, memory: 6051, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0477, loss_cls: 0.2573, acc: 91.5042, loss_bbox: 0.2959, loss_mask: 0.2850, loss: 0.9261 2024-05-27 16:40:06,554 - mmdet - INFO - Epoch [2][7000/7330] lr: 1.000e-04, eta: 10:46:27, time: 0.564, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0419, loss_rpn_bbox: 0.0483, loss_cls: 0.2495, acc: 91.6650, loss_bbox: 0.2908, loss_mask: 0.2867, loss: 0.9173 2024-05-27 16:40:32,371 - mmdet - INFO - Epoch [2][7050/7330] lr: 1.000e-04, eta: 10:45:58, time: 0.516, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0481, loss_cls: 0.2511, acc: 91.5488, loss_bbox: 0.2958, loss_mask: 0.2892, loss: 0.9241 2024-05-27 16:40:58,365 - mmdet - INFO - Epoch [2][7100/7330] lr: 1.000e-04, eta: 10:45:30, time: 0.520, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0516, loss_cls: 0.2495, acc: 91.6526, loss_bbox: 0.2907, loss_mask: 0.2906, loss: 0.9284 2024-05-27 16:41:26,644 - mmdet - INFO - Epoch [2][7150/7330] lr: 1.000e-04, eta: 10:45:14, time: 0.566, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0436, loss_rpn_bbox: 0.0496, loss_cls: 0.2522, acc: 91.4858, loss_bbox: 0.2931, loss_mask: 0.2904, loss: 0.9288 2024-05-27 16:42:06,662 - mmdet - INFO - Epoch [2][7200/7330] lr: 1.000e-04, eta: 10:45:57, time: 0.800, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0437, loss_rpn_bbox: 0.0506, loss_cls: 0.2546, acc: 91.5154, loss_bbox: 0.2931, loss_mask: 0.2915, loss: 0.9334 2024-05-27 16:42:32,480 - mmdet - INFO - Epoch [2][7250/7330] lr: 1.000e-04, eta: 10:45:27, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0469, loss_cls: 0.2487, acc: 91.7275, loss_bbox: 0.2875, loss_mask: 0.2920, loss: 0.9116 2024-05-27 16:42:58,295 - mmdet - INFO - Epoch [2][7300/7330] lr: 1.000e-04, eta: 10:44:58, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0503, loss_cls: 0.2559, acc: 91.4612, loss_bbox: 0.2949, loss_mask: 0.2824, loss: 0.9266 2024-05-27 16:43:14,642 - mmdet - INFO - Saving checkpoint at 2 epochs 2024-05-27 16:44:59,549 - mmdet - INFO - Evaluating bbox... 2024-05-27 16:45:29,567 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.333 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.564 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.350 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.171 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.371 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.487 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.463 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.463 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.463 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.254 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.515 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.645 2024-05-27 16:45:29,568 - mmdet - INFO - Evaluating segm... 2024-05-27 16:46:00,229 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.313 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.528 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.323 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.114 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.335 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.524 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.427 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.427 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.427 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.201 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.481 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.633 2024-05-27 16:46:00,727 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 16:46:00,729 - mmdet - INFO - Epoch(val) [2][625] bbox_mAP: 0.3330, bbox_mAP_50: 0.5640, bbox_mAP_75: 0.3500, bbox_mAP_s: 0.1710, bbox_mAP_m: 0.3710, bbox_mAP_l: 0.4870, bbox_mAP_copypaste: 0.333 0.564 0.350 0.171 0.371 0.487, segm_mAP: 0.3130, segm_mAP_50: 0.5280, segm_mAP_75: 0.3230, segm_mAP_s: 0.1140, segm_mAP_m: 0.3350, segm_mAP_l: 0.5240, segm_mAP_copypaste: 0.313 0.528 0.323 0.114 0.335 0.524 2024-05-27 16:46:39,011 - mmdet - INFO - Epoch [3][50/7330] lr: 1.000e-04, eta: 10:43:56, time: 0.763, data_time: 0.085, memory: 6051, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0471, loss_cls: 0.2509, acc: 91.5303, loss_bbox: 0.3003, loss_mask: 0.2811, loss: 0.9175 2024-05-27 16:47:04,634 - mmdet - INFO - Epoch [3][100/7330] lr: 1.000e-04, eta: 10:43:26, time: 0.512, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0468, loss_cls: 0.2346, acc: 92.0474, loss_bbox: 0.2819, loss_mask: 0.2736, loss: 0.8740 2024-05-27 16:47:36,903 - mmdet - INFO - Epoch [3][150/7330] lr: 1.000e-04, eta: 10:43:28, time: 0.645, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0465, loss_cls: 0.2382, acc: 91.7246, loss_bbox: 0.2924, loss_mask: 0.2790, loss: 0.8903 2024-05-27 16:48:07,294 - mmdet - INFO - Epoch [3][200/7330] lr: 1.000e-04, eta: 10:43:22, time: 0.608, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0419, loss_cls: 0.2189, acc: 92.3311, loss_bbox: 0.2737, loss_mask: 0.2720, loss: 0.8381 2024-05-27 16:48:37,569 - mmdet - INFO - Epoch [3][250/7330] lr: 1.000e-04, eta: 10:43:14, time: 0.605, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0503, loss_cls: 0.2425, acc: 91.6638, loss_bbox: 0.2936, loss_mask: 0.2814, loss: 0.9026 2024-05-27 16:49:03,108 - mmdet - INFO - Epoch [3][300/7330] lr: 1.000e-04, eta: 10:42:43, time: 0.511, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0429, loss_cls: 0.2291, acc: 92.1536, loss_bbox: 0.2738, loss_mask: 0.2769, loss: 0.8570 2024-05-27 16:49:28,923 - mmdet - INFO - Epoch [3][350/7330] lr: 1.000e-04, eta: 10:42:14, time: 0.516, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0463, loss_cls: 0.2360, acc: 91.8354, loss_bbox: 0.2876, loss_mask: 0.2802, loss: 0.8863 2024-05-27 16:49:54,602 - mmdet - INFO - Epoch [3][400/7330] lr: 1.000e-04, eta: 10:41:44, time: 0.514, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0461, loss_cls: 0.2329, acc: 91.9150, loss_bbox: 0.2864, loss_mask: 0.2786, loss: 0.8805 2024-05-27 16:50:20,593 - mmdet - INFO - Epoch [3][450/7330] lr: 1.000e-04, eta: 10:41:16, time: 0.520, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0510, loss_cls: 0.2412, acc: 91.7156, loss_bbox: 0.2903, loss_mask: 0.2802, loss: 0.9001 2024-05-27 16:50:46,246 - mmdet - INFO - Epoch [3][500/7330] lr: 1.000e-04, eta: 10:40:46, time: 0.513, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0475, loss_cls: 0.2422, acc: 91.6626, loss_bbox: 0.2923, loss_mask: 0.2754, loss: 0.8953 2024-05-27 16:51:11,890 - mmdet - INFO - Epoch [3][550/7330] lr: 1.000e-04, eta: 10:40:16, time: 0.513, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0450, loss_cls: 0.2283, acc: 92.3015, loss_bbox: 0.2731, loss_mask: 0.2739, loss: 0.8534 2024-05-27 16:51:37,673 - mmdet - INFO - Epoch [3][600/7330] lr: 1.000e-04, eta: 10:39:46, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0360, loss_rpn_bbox: 0.0477, loss_cls: 0.2399, acc: 91.8247, loss_bbox: 0.2904, loss_mask: 0.2805, loss: 0.8945 2024-05-27 16:52:03,504 - mmdet - INFO - Epoch [3][650/7330] lr: 1.000e-04, eta: 10:39:17, time: 0.517, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0463, loss_cls: 0.2478, acc: 91.6748, loss_bbox: 0.2918, loss_mask: 0.2816, loss: 0.9031 2024-05-27 16:52:29,209 - mmdet - INFO - Epoch [3][700/7330] lr: 1.000e-04, eta: 10:38:48, time: 0.514, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0430, loss_cls: 0.2244, acc: 92.2390, loss_bbox: 0.2745, loss_mask: 0.2759, loss: 0.8514 2024-05-27 16:52:55,038 - mmdet - INFO - Epoch [3][750/7330] lr: 1.000e-04, eta: 10:38:18, time: 0.517, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0487, loss_cls: 0.2411, acc: 91.7803, loss_bbox: 0.2938, loss_mask: 0.2873, loss: 0.9085 2024-05-27 16:53:20,901 - mmdet - INFO - Epoch [3][800/7330] lr: 1.000e-04, eta: 10:37:49, time: 0.517, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0487, loss_cls: 0.2412, acc: 91.6873, loss_bbox: 0.2934, loss_mask: 0.2840, loss: 0.9057 2024-05-27 16:53:46,899 - mmdet - INFO - Epoch [3][850/7330] lr: 1.000e-04, eta: 10:37:21, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0383, loss_rpn_bbox: 0.0467, loss_cls: 0.2344, acc: 91.8508, loss_bbox: 0.2841, loss_mask: 0.2756, loss: 0.8790 2024-05-27 16:54:12,679 - mmdet - INFO - Epoch [3][900/7330] lr: 1.000e-04, eta: 10:36:52, time: 0.516, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0476, loss_cls: 0.2484, acc: 91.6431, loss_bbox: 0.2919, loss_mask: 0.2784, loss: 0.9035 2024-05-27 16:54:40,605 - mmdet - INFO - Epoch [3][950/7330] lr: 1.000e-04, eta: 10:36:33, time: 0.558, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0450, loss_cls: 0.2353, acc: 92.0054, loss_bbox: 0.2779, loss_mask: 0.2789, loss: 0.8748 2024-05-27 16:55:06,464 - mmdet - INFO - Epoch [3][1000/7330] lr: 1.000e-04, eta: 10:36:04, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0453, loss_cls: 0.2299, acc: 92.0300, loss_bbox: 0.2878, loss_mask: 0.2790, loss: 0.8778 2024-05-27 16:55:38,433 - mmdet - INFO - Epoch [3][1050/7330] lr: 1.000e-04, eta: 10:36:03, time: 0.639, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0465, loss_cls: 0.2365, acc: 91.9307, loss_bbox: 0.2809, loss_mask: 0.2794, loss: 0.8789 2024-05-27 16:56:08,469 - mmdet - INFO - Epoch [3][1100/7330] lr: 1.000e-04, eta: 10:35:53, time: 0.601, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0470, loss_cls: 0.2432, acc: 91.6504, loss_bbox: 0.2906, loss_mask: 0.2745, loss: 0.8938 2024-05-27 16:56:40,054 - mmdet - INFO - Epoch [3][1150/7330] lr: 1.000e-04, eta: 10:35:51, time: 0.632, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0440, loss_cls: 0.2359, acc: 91.8596, loss_bbox: 0.2816, loss_mask: 0.2706, loss: 0.8658 2024-05-27 16:57:05,831 - mmdet - INFO - Epoch [3][1200/7330] lr: 1.000e-04, eta: 10:35:21, time: 0.516, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0450, loss_cls: 0.2322, acc: 92.1436, loss_bbox: 0.2800, loss_mask: 0.2716, loss: 0.8637 2024-05-27 16:57:31,745 - mmdet - INFO - Epoch [3][1250/7330] lr: 1.000e-04, eta: 10:34:52, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0461, loss_cls: 0.2419, acc: 91.6416, loss_bbox: 0.2896, loss_mask: 0.2786, loss: 0.8909 2024-05-27 16:57:57,812 - mmdet - INFO - Epoch [3][1300/7330] lr: 1.000e-04, eta: 10:34:24, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0472, loss_cls: 0.2386, acc: 91.8784, loss_bbox: 0.2874, loss_mask: 0.2791, loss: 0.8901 2024-05-27 16:58:23,615 - mmdet - INFO - Epoch [3][1350/7330] lr: 1.000e-04, eta: 10:33:55, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0401, loss_rpn_bbox: 0.0477, loss_cls: 0.2402, acc: 91.6565, loss_bbox: 0.2903, loss_mask: 0.2819, loss: 0.9001 2024-05-27 16:58:49,186 - mmdet - INFO - Epoch [3][1400/7330] lr: 1.000e-04, eta: 10:33:25, time: 0.511, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0467, loss_cls: 0.2332, acc: 92.0422, loss_bbox: 0.2779, loss_mask: 0.2677, loss: 0.8609 2024-05-27 16:59:14,982 - mmdet - INFO - Epoch [3][1450/7330] lr: 1.000e-04, eta: 10:32:55, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0460, loss_cls: 0.2381, acc: 91.8940, loss_bbox: 0.2820, loss_mask: 0.2732, loss: 0.8743 2024-05-27 16:59:40,746 - mmdet - INFO - Epoch [3][1500/7330] lr: 1.000e-04, eta: 10:32:26, time: 0.515, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0470, loss_cls: 0.2362, acc: 91.9434, loss_bbox: 0.2792, loss_mask: 0.2711, loss: 0.8700 2024-05-27 17:00:06,552 - mmdet - INFO - Epoch [3][1550/7330] lr: 1.000e-04, eta: 10:31:57, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0450, loss_cls: 0.2290, acc: 92.2302, loss_bbox: 0.2685, loss_mask: 0.2674, loss: 0.8463 2024-05-27 17:00:32,371 - mmdet - INFO - Epoch [3][1600/7330] lr: 1.000e-04, eta: 10:31:28, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0487, loss_cls: 0.2430, acc: 91.6731, loss_bbox: 0.2933, loss_mask: 0.2809, loss: 0.9043 2024-05-27 17:00:58,130 - mmdet - INFO - Epoch [3][1650/7330] lr: 1.000e-04, eta: 10:30:58, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0460, loss_cls: 0.2314, acc: 91.9724, loss_bbox: 0.2785, loss_mask: 0.2806, loss: 0.8727 2024-05-27 17:01:23,996 - mmdet - INFO - Epoch [3][1700/7330] lr: 1.000e-04, eta: 10:30:30, time: 0.517, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0478, loss_cls: 0.2438, acc: 91.6165, loss_bbox: 0.2891, loss_mask: 0.2764, loss: 0.8964 2024-05-27 17:01:49,881 - mmdet - INFO - Epoch [3][1750/7330] lr: 1.000e-04, eta: 10:30:01, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0466, loss_cls: 0.2307, acc: 92.1226, loss_bbox: 0.2806, loss_mask: 0.2750, loss: 0.8679 2024-05-27 17:02:15,625 - mmdet - INFO - Epoch [3][1800/7330] lr: 1.000e-04, eta: 10:29:31, time: 0.515, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0464, loss_cls: 0.2384, acc: 91.8301, loss_bbox: 0.2846, loss_mask: 0.2718, loss: 0.8773 2024-05-27 17:02:43,302 - mmdet - INFO - Epoch [3][1850/7330] lr: 1.000e-04, eta: 10:29:11, time: 0.554, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0442, loss_cls: 0.2310, acc: 92.1843, loss_bbox: 0.2762, loss_mask: 0.2705, loss: 0.8557 2024-05-27 17:03:08,898 - mmdet - INFO - Epoch [3][1900/7330] lr: 1.000e-04, eta: 10:28:41, time: 0.512, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0460, loss_cls: 0.2297, acc: 92.0938, loss_bbox: 0.2779, loss_mask: 0.2794, loss: 0.8690 2024-05-27 17:03:40,910 - mmdet - INFO - Epoch [3][1950/7330] lr: 1.000e-04, eta: 10:28:38, time: 0.640, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0498, loss_cls: 0.2336, acc: 91.9812, loss_bbox: 0.2879, loss_mask: 0.2804, loss: 0.8896 2024-05-27 17:04:09,364 - mmdet - INFO - Epoch [3][2000/7330] lr: 1.000e-04, eta: 10:28:20, time: 0.569, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0475, loss_cls: 0.2423, acc: 91.6982, loss_bbox: 0.2913, loss_mask: 0.2793, loss: 0.8989 2024-05-27 17:04:43,751 - mmdet - INFO - Epoch [3][2050/7330] lr: 1.000e-04, eta: 10:28:28, time: 0.688, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0456, loss_cls: 0.2333, acc: 91.9890, loss_bbox: 0.2845, loss_mask: 0.2785, loss: 0.8755 2024-05-27 17:05:09,684 - mmdet - INFO - Epoch [3][2100/7330] lr: 1.000e-04, eta: 10:27:59, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0463, loss_cls: 0.2393, acc: 91.7639, loss_bbox: 0.2853, loss_mask: 0.2840, loss: 0.8938 2024-05-27 17:05:35,518 - mmdet - INFO - Epoch [3][2150/7330] lr: 1.000e-04, eta: 10:27:30, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0493, loss_cls: 0.2450, acc: 91.5715, loss_bbox: 0.2980, loss_mask: 0.2812, loss: 0.9129 2024-05-27 17:06:01,215 - mmdet - INFO - Epoch [3][2200/7330] lr: 1.000e-04, eta: 10:27:00, time: 0.514, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0460, loss_cls: 0.2235, acc: 92.3535, loss_bbox: 0.2668, loss_mask: 0.2710, loss: 0.8443 2024-05-27 17:06:26,665 - mmdet - INFO - Epoch [3][2250/7330] lr: 1.000e-04, eta: 10:26:30, time: 0.509, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0454, loss_cls: 0.2325, acc: 92.1414, loss_bbox: 0.2708, loss_mask: 0.2773, loss: 0.8613 2024-05-27 17:06:52,598 - mmdet - INFO - Epoch [3][2300/7330] lr: 1.000e-04, eta: 10:26:01, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0449, loss_cls: 0.2375, acc: 91.9509, loss_bbox: 0.2799, loss_mask: 0.2774, loss: 0.8733 2024-05-27 17:07:18,484 - mmdet - INFO - Epoch [3][2350/7330] lr: 1.000e-04, eta: 10:25:32, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0469, loss_cls: 0.2360, acc: 92.0044, loss_bbox: 0.2787, loss_mask: 0.2814, loss: 0.8811 2024-05-27 17:07:44,332 - mmdet - INFO - Epoch [3][2400/7330] lr: 1.000e-04, eta: 10:25:03, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0442, loss_cls: 0.2348, acc: 92.0500, loss_bbox: 0.2838, loss_mask: 0.2672, loss: 0.8645 2024-05-27 17:08:10,207 - mmdet - INFO - Epoch [3][2450/7330] lr: 1.000e-04, eta: 10:24:34, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0441, loss_cls: 0.2375, acc: 91.8398, loss_bbox: 0.2866, loss_mask: 0.2770, loss: 0.8782 2024-05-27 17:08:35,985 - mmdet - INFO - Epoch [3][2500/7330] lr: 1.000e-04, eta: 10:24:05, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0471, loss_cls: 0.2232, acc: 92.1714, loss_bbox: 0.2784, loss_mask: 0.2834, loss: 0.8671 2024-05-27 17:09:01,533 - mmdet - INFO - Epoch [3][2550/7330] lr: 1.000e-04, eta: 10:23:35, time: 0.511, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0456, loss_cls: 0.2287, acc: 92.2747, loss_bbox: 0.2722, loss_mask: 0.2700, loss: 0.8512 2024-05-27 17:09:27,299 - mmdet - INFO - Epoch [3][2600/7330] lr: 1.000e-04, eta: 10:23:06, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0465, loss_cls: 0.2370, acc: 91.9167, loss_bbox: 0.2779, loss_mask: 0.2704, loss: 0.8678 2024-05-27 17:09:53,210 - mmdet - INFO - Epoch [3][2650/7330] lr: 1.000e-04, eta: 10:22:37, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0461, loss_cls: 0.2428, acc: 91.7122, loss_bbox: 0.2910, loss_mask: 0.2779, loss: 0.8931 2024-05-27 17:10:19,307 - mmdet - INFO - Epoch [3][2700/7330] lr: 1.000e-04, eta: 10:22:09, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0476, loss_cls: 0.2408, acc: 91.6094, loss_bbox: 0.2852, loss_mask: 0.2733, loss: 0.8856 2024-05-27 17:10:47,701 - mmdet - INFO - Epoch [3][2750/7330] lr: 1.000e-04, eta: 10:21:51, time: 0.568, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0468, loss_cls: 0.2377, acc: 91.9021, loss_bbox: 0.2790, loss_mask: 0.2739, loss: 0.8741 2024-05-27 17:11:13,664 - mmdet - INFO - Epoch [3][2800/7330] lr: 1.000e-04, eta: 10:21:23, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0455, loss_cls: 0.2387, acc: 91.8672, loss_bbox: 0.2882, loss_mask: 0.2820, loss: 0.8895 2024-05-27 17:11:43,823 - mmdet - INFO - Epoch [3][2850/7330] lr: 1.000e-04, eta: 10:21:11, time: 0.603, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0460, loss_cls: 0.2402, acc: 91.7771, loss_bbox: 0.2852, loss_mask: 0.2759, loss: 0.8820 2024-05-27 17:12:11,787 - mmdet - INFO - Epoch [3][2900/7330] lr: 1.000e-04, eta: 10:20:51, time: 0.559, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0466, loss_cls: 0.2371, acc: 91.8196, loss_bbox: 0.2823, loss_mask: 0.2779, loss: 0.8798 2024-05-27 17:12:49,868 - mmdet - INFO - Epoch [3][2950/7330] lr: 1.000e-04, eta: 10:21:11, time: 0.762, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0451, loss_cls: 0.2204, acc: 92.2275, loss_bbox: 0.2734, loss_mask: 0.2697, loss: 0.8421 2024-05-27 17:13:15,808 - mmdet - INFO - Epoch [3][3000/7330] lr: 1.000e-04, eta: 10:20:42, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0397, loss_rpn_bbox: 0.0479, loss_cls: 0.2398, acc: 91.6445, loss_bbox: 0.2870, loss_mask: 0.2748, loss: 0.8892 2024-05-27 17:13:41,626 - mmdet - INFO - Epoch [3][3050/7330] lr: 1.000e-04, eta: 10:20:13, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0456, loss_cls: 0.2264, acc: 92.1589, loss_bbox: 0.2735, loss_mask: 0.2709, loss: 0.8515 2024-05-27 17:14:07,310 - mmdet - INFO - Epoch [3][3100/7330] lr: 1.000e-04, eta: 10:19:43, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0434, loss_cls: 0.2345, acc: 92.1455, loss_bbox: 0.2741, loss_mask: 0.2749, loss: 0.8607 2024-05-27 17:14:33,072 - mmdet - INFO - Epoch [3][3150/7330] lr: 1.000e-04, eta: 10:19:14, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0475, loss_cls: 0.2384, acc: 91.8174, loss_bbox: 0.2861, loss_mask: 0.2817, loss: 0.8900 2024-05-27 17:14:58,784 - mmdet - INFO - Epoch [3][3200/7330] lr: 1.000e-04, eta: 10:18:44, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0451, loss_cls: 0.2384, acc: 91.8757, loss_bbox: 0.2780, loss_mask: 0.2780, loss: 0.8743 2024-05-27 17:15:24,747 - mmdet - INFO - Epoch [3][3250/7330] lr: 1.000e-04, eta: 10:18:16, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0453, loss_cls: 0.2419, acc: 91.7527, loss_bbox: 0.2857, loss_mask: 0.2802, loss: 0.8910 2024-05-27 17:15:50,593 - mmdet - INFO - Epoch [3][3300/7330] lr: 1.000e-04, eta: 10:17:47, time: 0.517, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0503, loss_cls: 0.2476, acc: 91.4758, loss_bbox: 0.2921, loss_mask: 0.2817, loss: 0.9092 2024-05-27 17:16:16,723 - mmdet - INFO - Epoch [3][3350/7330] lr: 1.000e-04, eta: 10:17:19, time: 0.523, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0493, loss_cls: 0.2429, acc: 91.6863, loss_bbox: 0.2887, loss_mask: 0.2851, loss: 0.9067 2024-05-27 17:16:42,527 - mmdet - INFO - Epoch [3][3400/7330] lr: 1.000e-04, eta: 10:16:50, time: 0.516, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0396, loss_rpn_bbox: 0.0490, loss_cls: 0.2456, acc: 91.5845, loss_bbox: 0.2879, loss_mask: 0.2815, loss: 0.9036 2024-05-27 17:17:08,347 - mmdet - INFO - Epoch [3][3450/7330] lr: 1.000e-04, eta: 10:16:21, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0439, loss_cls: 0.2331, acc: 91.8923, loss_bbox: 0.2788, loss_mask: 0.2693, loss: 0.8574 2024-05-27 17:17:33,963 - mmdet - INFO - Epoch [3][3500/7330] lr: 1.000e-04, eta: 10:15:51, time: 0.513, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0471, loss_cls: 0.2349, acc: 91.8953, loss_bbox: 0.2809, loss_mask: 0.2756, loss: 0.8762 2024-05-27 17:17:59,853 - mmdet - INFO - Epoch [3][3550/7330] lr: 1.000e-04, eta: 10:15:23, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0439, loss_cls: 0.2314, acc: 92.1345, loss_bbox: 0.2751, loss_mask: 0.2677, loss: 0.8520 2024-05-27 17:18:25,838 - mmdet - INFO - Epoch [3][3600/7330] lr: 1.000e-04, eta: 10:14:54, time: 0.520, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0481, loss_cls: 0.2391, acc: 91.7014, loss_bbox: 0.2832, loss_mask: 0.2721, loss: 0.8791 2024-05-27 17:18:53,816 - mmdet - INFO - Epoch [3][3650/7330] lr: 1.000e-04, eta: 10:14:33, time: 0.560, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0434, loss_cls: 0.2357, acc: 91.8862, loss_bbox: 0.2865, loss_mask: 0.2771, loss: 0.8780 2024-05-27 17:19:19,713 - mmdet - INFO - Epoch [3][3700/7330] lr: 1.000e-04, eta: 10:14:05, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0476, loss_cls: 0.2344, acc: 91.9727, loss_bbox: 0.2814, loss_mask: 0.2820, loss: 0.8820 2024-05-27 17:19:48,131 - mmdet - INFO - Epoch [3][3750/7330] lr: 1.000e-04, eta: 10:13:46, time: 0.568, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0439, loss_cls: 0.2345, acc: 92.0137, loss_bbox: 0.2785, loss_mask: 0.2713, loss: 0.8655 2024-05-27 17:20:18,413 - mmdet - INFO - Epoch [3][3800/7330] lr: 1.000e-04, eta: 10:13:34, time: 0.606, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0452, loss_cls: 0.2478, acc: 91.5352, loss_bbox: 0.2895, loss_mask: 0.2762, loss: 0.8950 2024-05-27 17:20:53,922 - mmdet - INFO - Epoch [3][3850/7330] lr: 1.000e-04, eta: 10:13:41, time: 0.710, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0461, loss_cls: 0.2414, acc: 91.8096, loss_bbox: 0.2859, loss_mask: 0.2780, loss: 0.8870 2024-05-27 17:21:19,734 - mmdet - INFO - Epoch [3][3900/7330] lr: 1.000e-04, eta: 10:13:12, time: 0.516, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0499, loss_cls: 0.2374, acc: 91.8894, loss_bbox: 0.2858, loss_mask: 0.2799, loss: 0.8921 2024-05-27 17:21:45,499 - mmdet - INFO - Epoch [3][3950/7330] lr: 1.000e-04, eta: 10:12:43, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0444, loss_cls: 0.2201, acc: 92.4661, loss_bbox: 0.2659, loss_mask: 0.2746, loss: 0.8390 2024-05-27 17:22:11,430 - mmdet - INFO - Epoch [3][4000/7330] lr: 1.000e-04, eta: 10:12:14, time: 0.518, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0450, loss_cls: 0.2367, acc: 91.8308, loss_bbox: 0.2860, loss_mask: 0.2718, loss: 0.8744 2024-05-27 17:22:37,304 - mmdet - INFO - Epoch [3][4050/7330] lr: 1.000e-04, eta: 10:11:45, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0454, loss_cls: 0.2330, acc: 91.9189, loss_bbox: 0.2857, loss_mask: 0.2750, loss: 0.8758 2024-05-27 17:23:03,202 - mmdet - INFO - Epoch [3][4100/7330] lr: 1.000e-04, eta: 10:11:16, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0418, loss_cls: 0.2241, acc: 92.3862, loss_bbox: 0.2681, loss_mask: 0.2628, loss: 0.8311 2024-05-27 17:23:29,189 - mmdet - INFO - Epoch [3][4150/7330] lr: 1.000e-04, eta: 10:10:48, time: 0.520, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0436, loss_cls: 0.2376, acc: 91.9277, loss_bbox: 0.2764, loss_mask: 0.2720, loss: 0.8647 2024-05-27 17:23:55,181 - mmdet - INFO - Epoch [3][4200/7330] lr: 1.000e-04, eta: 10:10:20, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0467, loss_cls: 0.2385, acc: 91.9075, loss_bbox: 0.2785, loss_mask: 0.2809, loss: 0.8786 2024-05-27 17:24:21,031 - mmdet - INFO - Epoch [3][4250/7330] lr: 1.000e-04, eta: 10:09:51, time: 0.517, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0447, loss_cls: 0.2405, acc: 91.8821, loss_bbox: 0.2802, loss_mask: 0.2771, loss: 0.8771 2024-05-27 17:24:47,023 - mmdet - INFO - Epoch [3][4300/7330] lr: 1.000e-04, eta: 10:09:22, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0450, loss_cls: 0.2259, acc: 92.0876, loss_bbox: 0.2767, loss_mask: 0.2709, loss: 0.8535 2024-05-27 17:25:12,764 - mmdet - INFO - Epoch [3][4350/7330] lr: 1.000e-04, eta: 10:08:53, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0430, loss_cls: 0.2251, acc: 92.2954, loss_bbox: 0.2711, loss_mask: 0.2695, loss: 0.8423 2024-05-27 17:25:38,453 - mmdet - INFO - Epoch [3][4400/7330] lr: 1.000e-04, eta: 10:08:24, time: 0.514, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0379, loss_rpn_bbox: 0.0449, loss_cls: 0.2279, acc: 92.1023, loss_bbox: 0.2739, loss_mask: 0.2720, loss: 0.8566 2024-05-27 17:26:04,303 - mmdet - INFO - Epoch [3][4450/7330] lr: 1.000e-04, eta: 10:07:55, time: 0.517, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0360, loss_rpn_bbox: 0.0480, loss_cls: 0.2441, acc: 91.7485, loss_bbox: 0.2834, loss_mask: 0.2725, loss: 0.8839 2024-05-27 17:26:30,173 - mmdet - INFO - Epoch [3][4500/7330] lr: 1.000e-04, eta: 10:07:26, time: 0.517, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0453, loss_cls: 0.2372, acc: 91.9236, loss_bbox: 0.2756, loss_mask: 0.2734, loss: 0.8682 2024-05-27 17:26:58,076 - mmdet - INFO - Epoch [3][4550/7330] lr: 1.000e-04, eta: 10:07:05, time: 0.558, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0445, loss_cls: 0.2313, acc: 92.1836, loss_bbox: 0.2737, loss_mask: 0.2661, loss: 0.8509 2024-05-27 17:27:23,859 - mmdet - INFO - Epoch [3][4600/7330] lr: 1.000e-04, eta: 10:06:36, time: 0.516, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0457, loss_cls: 0.2333, acc: 91.9993, loss_bbox: 0.2783, loss_mask: 0.2660, loss: 0.8612 2024-05-27 17:27:55,198 - mmdet - INFO - Epoch [3][4650/7330] lr: 1.000e-04, eta: 10:06:18, time: 0.580, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0423, loss_cls: 0.2185, acc: 92.4009, loss_bbox: 0.2698, loss_mask: 0.2704, loss: 0.8353 2024-05-27 17:28:23,263 - mmdet - INFO - Epoch [3][4700/7330] lr: 1.000e-04, eta: 10:06:06, time: 0.608, data_time: 0.068, memory: 6051, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0491, loss_cls: 0.2432, acc: 91.6042, loss_bbox: 0.2878, loss_mask: 0.2788, loss: 0.9000 2024-05-27 17:28:58,530 - mmdet - INFO - Epoch [3][4750/7330] lr: 1.000e-04, eta: 10:06:10, time: 0.705, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0474, loss_cls: 0.2349, acc: 92.0171, loss_bbox: 0.2781, loss_mask: 0.2731, loss: 0.8684 2024-05-27 17:29:24,546 - mmdet - INFO - Epoch [3][4800/7330] lr: 1.000e-04, eta: 10:05:42, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0454, loss_cls: 0.2274, acc: 92.1582, loss_bbox: 0.2756, loss_mask: 0.2726, loss: 0.8561 2024-05-27 17:29:50,517 - mmdet - INFO - Epoch [3][4850/7330] lr: 1.000e-04, eta: 10:05:13, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0471, loss_cls: 0.2386, acc: 91.9153, loss_bbox: 0.2763, loss_mask: 0.2783, loss: 0.8752 2024-05-27 17:30:16,456 - mmdet - INFO - Epoch [3][4900/7330] lr: 1.000e-04, eta: 10:04:45, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0423, loss_cls: 0.2190, acc: 92.3469, loss_bbox: 0.2668, loss_mask: 0.2672, loss: 0.8274 2024-05-27 17:30:42,412 - mmdet - INFO - Epoch [3][4950/7330] lr: 1.000e-04, eta: 10:04:16, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0443, loss_cls: 0.2339, acc: 92.1299, loss_bbox: 0.2671, loss_mask: 0.2668, loss: 0.8448 2024-05-27 17:31:08,087 - mmdet - INFO - Epoch [3][5000/7330] lr: 1.000e-04, eta: 10:03:47, time: 0.513, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0442, loss_cls: 0.2216, acc: 92.2512, loss_bbox: 0.2723, loss_mask: 0.2695, loss: 0.8405 2024-05-27 17:31:33,825 - mmdet - INFO - Epoch [3][5050/7330] lr: 1.000e-04, eta: 10:03:17, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0447, loss_cls: 0.2259, acc: 92.2383, loss_bbox: 0.2775, loss_mask: 0.2736, loss: 0.8579 2024-05-27 17:31:59,734 - mmdet - INFO - Epoch [3][5100/7330] lr: 1.000e-04, eta: 10:02:49, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0442, loss_cls: 0.2370, acc: 91.7678, loss_bbox: 0.2855, loss_mask: 0.2703, loss: 0.8711 2024-05-27 17:32:25,623 - mmdet - INFO - Epoch [3][5150/7330] lr: 1.000e-04, eta: 10:02:20, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0443, loss_cls: 0.2287, acc: 92.1250, loss_bbox: 0.2773, loss_mask: 0.2720, loss: 0.8569 2024-05-27 17:32:51,551 - mmdet - INFO - Epoch [3][5200/7330] lr: 1.000e-04, eta: 10:01:52, time: 0.519, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0462, loss_cls: 0.2393, acc: 91.8152, loss_bbox: 0.2841, loss_mask: 0.2721, loss: 0.8761 2024-05-27 17:33:17,450 - mmdet - INFO - Epoch [3][5250/7330] lr: 1.000e-04, eta: 10:01:23, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0454, loss_cls: 0.2379, acc: 91.8374, loss_bbox: 0.2821, loss_mask: 0.2724, loss: 0.8715 2024-05-27 17:33:43,364 - mmdet - INFO - Epoch [3][5300/7330] lr: 1.000e-04, eta: 10:00:54, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0457, loss_cls: 0.2309, acc: 92.0935, loss_bbox: 0.2759, loss_mask: 0.2786, loss: 0.8664 2024-05-27 17:34:09,230 - mmdet - INFO - Epoch [3][5350/7330] lr: 1.000e-04, eta: 10:00:26, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0439, loss_cls: 0.2274, acc: 92.0532, loss_bbox: 0.2751, loss_mask: 0.2678, loss: 0.8490 2024-05-27 17:34:34,853 - mmdet - INFO - Epoch [3][5400/7330] lr: 1.000e-04, eta: 9:59:56, time: 0.513, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0468, loss_cls: 0.2366, acc: 91.9185, loss_bbox: 0.2787, loss_mask: 0.2821, loss: 0.8817 2024-05-27 17:35:03,022 - mmdet - INFO - Epoch [3][5450/7330] lr: 1.000e-04, eta: 9:59:35, time: 0.563, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0436, loss_cls: 0.2245, acc: 92.1418, loss_bbox: 0.2722, loss_mask: 0.2698, loss: 0.8453 2024-05-27 17:35:29,042 - mmdet - INFO - Epoch [3][5500/7330] lr: 1.000e-04, eta: 9:59:07, time: 0.520, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0451, loss_cls: 0.2358, acc: 91.8845, loss_bbox: 0.2806, loss_mask: 0.2705, loss: 0.8676 2024-05-27 17:36:00,140 - mmdet - INFO - Epoch [3][5550/7330] lr: 1.000e-04, eta: 9:58:56, time: 0.622, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0419, loss_cls: 0.2283, acc: 92.2520, loss_bbox: 0.2684, loss_mask: 0.2667, loss: 0.8384 2024-05-27 17:36:28,031 - mmdet - INFO - Epoch [3][5600/7330] lr: 1.000e-04, eta: 9:58:34, time: 0.558, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0443, loss_cls: 0.2370, acc: 91.9348, loss_bbox: 0.2752, loss_mask: 0.2780, loss: 0.8696 2024-05-27 17:37:03,325 - mmdet - INFO - Epoch [3][5650/7330] lr: 1.000e-04, eta: 9:58:37, time: 0.706, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0455, loss_cls: 0.2300, acc: 92.0728, loss_bbox: 0.2757, loss_mask: 0.2690, loss: 0.8577 2024-05-27 17:37:29,165 - mmdet - INFO - Epoch [3][5700/7330] lr: 1.000e-04, eta: 9:58:08, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0468, loss_cls: 0.2460, acc: 91.6387, loss_bbox: 0.2874, loss_mask: 0.2807, loss: 0.8994 2024-05-27 17:37:54,745 - mmdet - INFO - Epoch [3][5750/7330] lr: 1.000e-04, eta: 9:57:38, time: 0.512, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0448, loss_cls: 0.2312, acc: 92.1096, loss_bbox: 0.2715, loss_mask: 0.2754, loss: 0.8601 2024-05-27 17:38:20,398 - mmdet - INFO - Epoch [3][5800/7330] lr: 1.000e-04, eta: 9:57:09, time: 0.513, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0441, loss_cls: 0.2277, acc: 92.1687, loss_bbox: 0.2707, loss_mask: 0.2682, loss: 0.8447 2024-05-27 17:38:46,379 - mmdet - INFO - Epoch [3][5850/7330] lr: 1.000e-04, eta: 9:56:40, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0472, loss_cls: 0.2358, acc: 91.8069, loss_bbox: 0.2811, loss_mask: 0.2746, loss: 0.8764 2024-05-27 17:39:12,130 - mmdet - INFO - Epoch [3][5900/7330] lr: 1.000e-04, eta: 9:56:11, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0432, loss_cls: 0.2254, acc: 92.3523, loss_bbox: 0.2689, loss_mask: 0.2692, loss: 0.8388 2024-05-27 17:39:37,877 - mmdet - INFO - Epoch [3][5950/7330] lr: 1.000e-04, eta: 9:55:42, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0467, loss_cls: 0.2370, acc: 91.8884, loss_bbox: 0.2791, loss_mask: 0.2679, loss: 0.8678 2024-05-27 17:40:03,939 - mmdet - INFO - Epoch [3][6000/7330] lr: 1.000e-04, eta: 9:55:14, time: 0.521, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0425, loss_cls: 0.2349, acc: 92.0190, loss_bbox: 0.2811, loss_mask: 0.2683, loss: 0.8609 2024-05-27 17:40:29,887 - mmdet - INFO - Epoch [3][6050/7330] lr: 1.000e-04, eta: 9:54:46, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0446, loss_cls: 0.2315, acc: 91.9968, loss_bbox: 0.2723, loss_mask: 0.2688, loss: 0.8508 2024-05-27 17:40:56,032 - mmdet - INFO - Epoch [3][6100/7330] lr: 1.000e-04, eta: 9:54:18, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0474, loss_cls: 0.2374, acc: 91.9089, loss_bbox: 0.2810, loss_mask: 0.2754, loss: 0.8781 2024-05-27 17:41:21,801 - mmdet - INFO - Epoch [3][6150/7330] lr: 1.000e-04, eta: 9:53:49, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0403, loss_cls: 0.2303, acc: 92.1147, loss_bbox: 0.2723, loss_mask: 0.2722, loss: 0.8473 2024-05-27 17:41:47,552 - mmdet - INFO - Epoch [3][6200/7330] lr: 1.000e-04, eta: 9:53:20, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0474, loss_cls: 0.2257, acc: 92.2029, loss_bbox: 0.2743, loss_mask: 0.2730, loss: 0.8570 2024-05-27 17:42:13,655 - mmdet - INFO - Epoch [3][6250/7330] lr: 1.000e-04, eta: 9:52:52, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0423, loss_cls: 0.2269, acc: 92.3613, loss_bbox: 0.2648, loss_mask: 0.2670, loss: 0.8345 2024-05-27 17:42:39,383 - mmdet - INFO - Epoch [3][6300/7330] lr: 1.000e-04, eta: 9:52:23, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0422, loss_cls: 0.2263, acc: 92.1704, loss_bbox: 0.2728, loss_mask: 0.2683, loss: 0.8443 2024-05-27 17:43:07,375 - mmdet - INFO - Epoch [3][6350/7330] lr: 1.000e-04, eta: 9:52:01, time: 0.560, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0438, loss_cls: 0.2345, acc: 91.9124, loss_bbox: 0.2733, loss_mask: 0.2697, loss: 0.8564 2024-05-27 17:43:33,436 - mmdet - INFO - Epoch [3][6400/7330] lr: 1.000e-04, eta: 9:51:33, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0397, loss_rpn_bbox: 0.0492, loss_cls: 0.2462, acc: 91.5847, loss_bbox: 0.2910, loss_mask: 0.2771, loss: 0.9032 2024-05-27 17:44:04,583 - mmdet - INFO - Epoch [3][6450/7330] lr: 1.000e-04, eta: 9:51:21, time: 0.623, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0441, loss_cls: 0.2342, acc: 92.0581, loss_bbox: 0.2750, loss_mask: 0.2698, loss: 0.8563 2024-05-27 17:44:37,981 - mmdet - INFO - Epoch [3][6500/7330] lr: 1.000e-04, eta: 9:51:16, time: 0.668, data_time: 0.124, memory: 6051, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0449, loss_cls: 0.2328, acc: 92.0383, loss_bbox: 0.2784, loss_mask: 0.2750, loss: 0.8677 2024-05-27 17:45:12,557 - mmdet - INFO - Epoch [3][6550/7330] lr: 1.000e-04, eta: 9:51:15, time: 0.691, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0442, loss_cls: 0.2390, acc: 91.7449, loss_bbox: 0.2802, loss_mask: 0.2712, loss: 0.8674 2024-05-27 17:45:38,268 - mmdet - INFO - Epoch [3][6600/7330] lr: 1.000e-04, eta: 9:50:45, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0445, loss_cls: 0.2347, acc: 91.8975, loss_bbox: 0.2777, loss_mask: 0.2706, loss: 0.8620 2024-05-27 17:46:04,166 - mmdet - INFO - Epoch [3][6650/7330] lr: 1.000e-04, eta: 9:50:17, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0446, loss_cls: 0.2416, acc: 91.8259, loss_bbox: 0.2818, loss_mask: 0.2723, loss: 0.8769 2024-05-27 17:46:30,015 - mmdet - INFO - Epoch [3][6700/7330] lr: 1.000e-04, eta: 9:49:48, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0427, loss_cls: 0.2297, acc: 92.1890, loss_bbox: 0.2741, loss_mask: 0.2708, loss: 0.8515 2024-05-27 17:46:56,191 - mmdet - INFO - Epoch [3][6750/7330] lr: 1.000e-04, eta: 9:49:20, time: 0.524, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0467, loss_cls: 0.2404, acc: 91.5505, loss_bbox: 0.2889, loss_mask: 0.2689, loss: 0.8788 2024-05-27 17:47:22,017 - mmdet - INFO - Epoch [3][6800/7330] lr: 1.000e-04, eta: 9:48:51, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0471, loss_cls: 0.2356, acc: 91.9670, loss_bbox: 0.2769, loss_mask: 0.2724, loss: 0.8700 2024-05-27 17:47:47,918 - mmdet - INFO - Epoch [3][6850/7330] lr: 1.000e-04, eta: 9:48:23, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0459, loss_cls: 0.2275, acc: 92.0991, loss_bbox: 0.2706, loss_mask: 0.2703, loss: 0.8495 2024-05-27 17:48:13,642 - mmdet - INFO - Epoch [3][6900/7330] lr: 1.000e-04, eta: 9:47:54, time: 0.514, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0424, loss_cls: 0.2284, acc: 92.0945, loss_bbox: 0.2720, loss_mask: 0.2657, loss: 0.8409 2024-05-27 17:48:39,496 - mmdet - INFO - Epoch [3][6950/7330] lr: 1.000e-04, eta: 9:47:25, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0438, loss_cls: 0.2247, acc: 92.2090, loss_bbox: 0.2755, loss_mask: 0.2683, loss: 0.8455 2024-05-27 17:49:05,259 - mmdet - INFO - Epoch [3][7000/7330] lr: 1.000e-04, eta: 9:46:56, time: 0.515, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0454, loss_cls: 0.2271, acc: 92.2148, loss_bbox: 0.2742, loss_mask: 0.2658, loss: 0.8473 2024-05-27 17:49:31,144 - mmdet - INFO - Epoch [3][7050/7330] lr: 1.000e-04, eta: 9:46:27, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0461, loss_cls: 0.2351, acc: 91.9131, loss_bbox: 0.2779, loss_mask: 0.2643, loss: 0.8598 2024-05-27 17:49:56,920 - mmdet - INFO - Epoch [3][7100/7330] lr: 1.000e-04, eta: 9:45:58, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0441, loss_cls: 0.2295, acc: 92.0269, loss_bbox: 0.2749, loss_mask: 0.2742, loss: 0.8568 2024-05-27 17:50:22,851 - mmdet - INFO - Epoch [3][7150/7330] lr: 1.000e-04, eta: 9:45:30, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0457, loss_cls: 0.2322, acc: 92.1245, loss_bbox: 0.2695, loss_mask: 0.2700, loss: 0.8546 2024-05-27 17:50:48,810 - mmdet - INFO - Epoch [3][7200/7330] lr: 1.000e-04, eta: 9:45:02, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0475, loss_cls: 0.2347, acc: 91.9771, loss_bbox: 0.2809, loss_mask: 0.2757, loss: 0.8781 2024-05-27 17:51:16,921 - mmdet - INFO - Epoch [3][7250/7330] lr: 1.000e-04, eta: 9:44:40, time: 0.562, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0446, loss_cls: 0.2359, acc: 91.9802, loss_bbox: 0.2725, loss_mask: 0.2729, loss: 0.8605 2024-05-27 17:51:42,850 - mmdet - INFO - Epoch [3][7300/7330] lr: 1.000e-04, eta: 9:44:11, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0437, loss_cls: 0.2197, acc: 92.3735, loss_bbox: 0.2723, loss_mask: 0.2735, loss: 0.8429 2024-05-27 17:52:01,816 - mmdet - INFO - Saving checkpoint at 3 epochs 2024-05-27 17:53:49,749 - mmdet - INFO - Evaluating bbox... 2024-05-27 17:54:14,064 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.359 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.594 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.381 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.186 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.395 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.518 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.483 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.483 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.483 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.274 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.532 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.654 2024-05-27 17:54:14,065 - mmdet - INFO - Evaluating segm... 2024-05-27 17:54:44,684 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.333 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.557 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.345 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.127 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.361 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.545 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.444 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.444 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.444 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.221 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.495 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.645 2024-05-27 17:54:45,137 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 17:54:45,138 - mmdet - INFO - Epoch(val) [3][625] bbox_mAP: 0.3590, bbox_mAP_50: 0.5940, bbox_mAP_75: 0.3810, bbox_mAP_s: 0.1860, bbox_mAP_m: 0.3950, bbox_mAP_l: 0.5180, bbox_mAP_copypaste: 0.359 0.594 0.381 0.186 0.395 0.518, segm_mAP: 0.3330, segm_mAP_50: 0.5570, segm_mAP_75: 0.3450, segm_mAP_s: 0.1270, segm_mAP_m: 0.3610, segm_mAP_l: 0.5450, segm_mAP_copypaste: 0.333 0.557 0.345 0.127 0.361 0.545 2024-05-27 17:55:16,969 - mmdet - INFO - Epoch [4][50/7330] lr: 1.000e-04, eta: 9:42:57, time: 0.636, data_time: 0.085, memory: 6051, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0461, loss_cls: 0.2212, acc: 92.1775, loss_bbox: 0.2741, loss_mask: 0.2658, loss: 0.8410 2024-05-27 17:55:42,846 - mmdet - INFO - Epoch [4][100/7330] lr: 1.000e-04, eta: 9:42:28, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0421, loss_cls: 0.2118, acc: 92.5403, loss_bbox: 0.2674, loss_mask: 0.2643, loss: 0.8158 2024-05-27 17:56:14,370 - mmdet - INFO - Epoch [4][150/7330] lr: 1.000e-04, eta: 9:42:17, time: 0.630, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0431, loss_cls: 0.2131, acc: 92.3120, loss_bbox: 0.2681, loss_mask: 0.2645, loss: 0.8193 2024-05-27 17:56:40,171 - mmdet - INFO - Epoch [4][200/7330] lr: 1.000e-04, eta: 9:41:48, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0448, loss_cls: 0.2272, acc: 92.0676, loss_bbox: 0.2813, loss_mask: 0.2711, loss: 0.8564 2024-05-27 17:57:06,098 - mmdet - INFO - Epoch [4][250/7330] lr: 1.000e-04, eta: 9:41:20, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0448, loss_cls: 0.2276, acc: 92.1455, loss_bbox: 0.2781, loss_mask: 0.2675, loss: 0.8509 2024-05-27 17:57:31,908 - mmdet - INFO - Epoch [4][300/7330] lr: 1.000e-04, eta: 9:40:51, time: 0.516, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0403, loss_cls: 0.2165, acc: 92.3967, loss_bbox: 0.2684, loss_mask: 0.2646, loss: 0.8194 2024-05-27 17:57:57,822 - mmdet - INFO - Epoch [4][350/7330] lr: 1.000e-04, eta: 9:40:23, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0463, loss_cls: 0.2287, acc: 91.9497, loss_bbox: 0.2799, loss_mask: 0.2686, loss: 0.8551 2024-05-27 17:58:23,385 - mmdet - INFO - Epoch [4][400/7330] lr: 1.000e-04, eta: 9:39:53, time: 0.511, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0450, loss_cls: 0.2194, acc: 92.2883, loss_bbox: 0.2740, loss_mask: 0.2715, loss: 0.8417 2024-05-27 17:58:49,243 - mmdet - INFO - Epoch [4][450/7330] lr: 1.000e-04, eta: 9:39:25, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0444, loss_cls: 0.2138, acc: 92.5422, loss_bbox: 0.2640, loss_mask: 0.2641, loss: 0.8164 2024-05-27 17:59:15,148 - mmdet - INFO - Epoch [4][500/7330] lr: 1.000e-04, eta: 9:38:56, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0443, loss_cls: 0.2178, acc: 92.3862, loss_bbox: 0.2716, loss_mask: 0.2661, loss: 0.8319 2024-05-27 17:59:40,742 - mmdet - INFO - Epoch [4][550/7330] lr: 1.000e-04, eta: 9:38:27, time: 0.512, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0405, loss_cls: 0.2144, acc: 92.4653, loss_bbox: 0.2652, loss_mask: 0.2660, loss: 0.8169 2024-05-27 18:00:06,785 - mmdet - INFO - Epoch [4][600/7330] lr: 1.000e-04, eta: 9:37:59, time: 0.521, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0439, loss_cls: 0.2139, acc: 92.4099, loss_bbox: 0.2677, loss_mask: 0.2651, loss: 0.8199 2024-05-27 18:00:32,454 - mmdet - INFO - Epoch [4][650/7330] lr: 1.000e-04, eta: 9:37:30, time: 0.513, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0410, loss_cls: 0.2134, acc: 92.3987, loss_bbox: 0.2669, loss_mask: 0.2689, loss: 0.8188 2024-05-27 18:00:58,237 - mmdet - INFO - Epoch [4][700/7330] lr: 1.000e-04, eta: 9:37:01, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0426, loss_cls: 0.2143, acc: 92.4678, loss_bbox: 0.2648, loss_mask: 0.2658, loss: 0.8181 2024-05-27 18:01:23,897 - mmdet - INFO - Epoch [4][750/7330] lr: 1.000e-04, eta: 9:36:32, time: 0.513, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0440, loss_cls: 0.2194, acc: 92.3630, loss_bbox: 0.2637, loss_mask: 0.2586, loss: 0.8166 2024-05-27 18:01:49,762 - mmdet - INFO - Epoch [4][800/7330] lr: 1.000e-04, eta: 9:36:04, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0435, loss_cls: 0.2218, acc: 92.1646, loss_bbox: 0.2769, loss_mask: 0.2666, loss: 0.8406 2024-05-27 18:02:15,578 - mmdet - INFO - Epoch [4][850/7330] lr: 1.000e-04, eta: 9:35:36, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0422, loss_cls: 0.2023, acc: 92.8403, loss_bbox: 0.2521, loss_mask: 0.2555, loss: 0.7834 2024-05-27 18:02:43,227 - mmdet - INFO - Epoch [4][900/7330] lr: 1.000e-04, eta: 9:35:12, time: 0.553, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0419, loss_cls: 0.2199, acc: 92.3582, loss_bbox: 0.2668, loss_mask: 0.2650, loss: 0.8241 2024-05-27 18:03:16,346 - mmdet - INFO - Epoch [4][950/7330] lr: 1.000e-04, eta: 9:35:04, time: 0.662, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0433, loss_cls: 0.2210, acc: 92.3562, loss_bbox: 0.2633, loss_mask: 0.2691, loss: 0.8281 2024-05-27 18:03:44,574 - mmdet - INFO - Epoch [4][1000/7330] lr: 1.000e-04, eta: 9:34:43, time: 0.564, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0424, loss_cls: 0.2217, acc: 92.2031, loss_bbox: 0.2697, loss_mask: 0.2614, loss: 0.8267 2024-05-27 18:04:12,588 - mmdet - INFO - Epoch [4][1050/7330] lr: 1.000e-04, eta: 9:34:20, time: 0.561, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0429, loss_cls: 0.2245, acc: 92.2786, loss_bbox: 0.2693, loss_mask: 0.2591, loss: 0.8274 2024-05-27 18:04:38,485 - mmdet - INFO - Epoch [4][1100/7330] lr: 1.000e-04, eta: 9:33:52, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0441, loss_cls: 0.2289, acc: 92.0354, loss_bbox: 0.2729, loss_mask: 0.2611, loss: 0.8395 2024-05-27 18:05:06,579 - mmdet - INFO - Epoch [4][1150/7330] lr: 1.000e-04, eta: 9:33:30, time: 0.562, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0436, loss_cls: 0.2245, acc: 92.0142, loss_bbox: 0.2790, loss_mask: 0.2683, loss: 0.8475 2024-05-27 18:05:32,393 - mmdet - INFO - Epoch [4][1200/7330] lr: 1.000e-04, eta: 9:33:01, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0455, loss_cls: 0.2233, acc: 92.1399, loss_bbox: 0.2773, loss_mask: 0.2700, loss: 0.8484 2024-05-27 18:06:01,214 - mmdet - INFO - Epoch [4][1250/7330] lr: 1.000e-04, eta: 9:32:41, time: 0.576, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0449, loss_cls: 0.2286, acc: 91.9600, loss_bbox: 0.2762, loss_mask: 0.2637, loss: 0.8455 2024-05-27 18:06:27,226 - mmdet - INFO - Epoch [4][1300/7330] lr: 1.000e-04, eta: 9:32:13, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0453, loss_cls: 0.2273, acc: 92.0283, loss_bbox: 0.2734, loss_mask: 0.2693, loss: 0.8468 2024-05-27 18:06:52,970 - mmdet - INFO - Epoch [4][1350/7330] lr: 1.000e-04, eta: 9:31:44, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0452, loss_cls: 0.2204, acc: 92.3833, loss_bbox: 0.2703, loss_mask: 0.2683, loss: 0.8370 2024-05-27 18:07:18,771 - mmdet - INFO - Epoch [4][1400/7330] lr: 1.000e-04, eta: 9:31:16, time: 0.516, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0441, loss_cls: 0.2224, acc: 92.1541, loss_bbox: 0.2751, loss_mask: 0.2659, loss: 0.8400 2024-05-27 18:07:44,666 - mmdet - INFO - Epoch [4][1450/7330] lr: 1.000e-04, eta: 9:30:47, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0446, loss_cls: 0.2189, acc: 92.2297, loss_bbox: 0.2669, loss_mask: 0.2621, loss: 0.8250 2024-05-27 18:08:10,317 - mmdet - INFO - Epoch [4][1500/7330] lr: 1.000e-04, eta: 9:30:18, time: 0.513, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0464, loss_cls: 0.2177, acc: 92.3604, loss_bbox: 0.2674, loss_mask: 0.2654, loss: 0.8312 2024-05-27 18:08:36,054 - mmdet - INFO - Epoch [4][1550/7330] lr: 1.000e-04, eta: 9:29:50, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0452, loss_cls: 0.2257, acc: 92.0752, loss_bbox: 0.2727, loss_mask: 0.2685, loss: 0.8447 2024-05-27 18:09:01,992 - mmdet - INFO - Epoch [4][1600/7330] lr: 1.000e-04, eta: 9:29:21, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0453, loss_cls: 0.2203, acc: 92.2278, loss_bbox: 0.2698, loss_mask: 0.2664, loss: 0.8355 2024-05-27 18:09:27,860 - mmdet - INFO - Epoch [4][1650/7330] lr: 1.000e-04, eta: 9:28:53, time: 0.517, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0419, loss_cls: 0.2115, acc: 92.5054, loss_bbox: 0.2613, loss_mask: 0.2627, loss: 0.8084 2024-05-27 18:09:53,738 - mmdet - INFO - Epoch [4][1700/7330] lr: 1.000e-04, eta: 9:28:25, time: 0.518, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0454, loss_cls: 0.2291, acc: 91.9993, loss_bbox: 0.2750, loss_mask: 0.2652, loss: 0.8496 2024-05-27 18:10:19,708 - mmdet - INFO - Epoch [4][1750/7330] lr: 1.000e-04, eta: 9:27:57, time: 0.519, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0434, loss_cls: 0.2262, acc: 92.1223, loss_bbox: 0.2703, loss_mask: 0.2627, loss: 0.8349 2024-05-27 18:10:50,263 - mmdet - INFO - Epoch [4][1800/7330] lr: 1.000e-04, eta: 9:27:41, time: 0.611, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0417, loss_cls: 0.2136, acc: 92.5483, loss_bbox: 0.2610, loss_mask: 0.2623, loss: 0.8099 2024-05-27 18:11:20,620 - mmdet - INFO - Epoch [4][1850/7330] lr: 1.000e-04, eta: 9:27:25, time: 0.607, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0438, loss_cls: 0.2219, acc: 92.3608, loss_bbox: 0.2671, loss_mask: 0.2640, loss: 0.8281 2024-05-27 18:11:49,286 - mmdet - INFO - Epoch [4][1900/7330] lr: 1.000e-04, eta: 9:27:04, time: 0.573, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0431, loss_cls: 0.2145, acc: 92.6262, loss_bbox: 0.2561, loss_mask: 0.2538, loss: 0.7966 2024-05-27 18:12:17,373 - mmdet - INFO - Epoch [4][1950/7330] lr: 1.000e-04, eta: 9:26:41, time: 0.562, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0463, loss_cls: 0.2234, acc: 92.2910, loss_bbox: 0.2669, loss_mask: 0.2735, loss: 0.8434 2024-05-27 18:12:43,375 - mmdet - INFO - Epoch [4][2000/7330] lr: 1.000e-04, eta: 9:26:13, time: 0.520, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0459, loss_cls: 0.2181, acc: 92.3372, loss_bbox: 0.2717, loss_mask: 0.2668, loss: 0.8366 2024-05-27 18:13:11,414 - mmdet - INFO - Epoch [4][2050/7330] lr: 1.000e-04, eta: 9:25:51, time: 0.561, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0439, loss_cls: 0.2185, acc: 92.3840, loss_bbox: 0.2661, loss_mask: 0.2660, loss: 0.8275 2024-05-27 18:13:37,358 - mmdet - INFO - Epoch [4][2100/7330] lr: 1.000e-04, eta: 9:25:23, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0445, loss_cls: 0.2241, acc: 92.1809, loss_bbox: 0.2758, loss_mask: 0.2668, loss: 0.8441 2024-05-27 18:14:06,771 - mmdet - INFO - Epoch [4][2150/7330] lr: 1.000e-04, eta: 9:25:03, time: 0.588, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0424, loss_cls: 0.2119, acc: 92.5984, loss_bbox: 0.2571, loss_mask: 0.2637, loss: 0.8060 2024-05-27 18:14:32,584 - mmdet - INFO - Epoch [4][2200/7330] lr: 1.000e-04, eta: 9:24:35, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0418, loss_cls: 0.2178, acc: 92.2363, loss_bbox: 0.2721, loss_mask: 0.2662, loss: 0.8276 2024-05-27 18:14:58,673 - mmdet - INFO - Epoch [4][2250/7330] lr: 1.000e-04, eta: 9:24:07, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0447, loss_cls: 0.2229, acc: 92.1301, loss_bbox: 0.2717, loss_mask: 0.2626, loss: 0.8340 2024-05-27 18:15:24,620 - mmdet - INFO - Epoch [4][2300/7330] lr: 1.000e-04, eta: 9:23:39, time: 0.519, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0432, loss_cls: 0.2192, acc: 92.3799, loss_bbox: 0.2668, loss_mask: 0.2639, loss: 0.8248 2024-05-27 18:15:50,596 - mmdet - INFO - Epoch [4][2350/7330] lr: 1.000e-04, eta: 9:23:11, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0443, loss_cls: 0.2243, acc: 92.2295, loss_bbox: 0.2773, loss_mask: 0.2694, loss: 0.8475 2024-05-27 18:16:16,558 - mmdet - INFO - Epoch [4][2400/7330] lr: 1.000e-04, eta: 9:22:43, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0416, loss_cls: 0.2194, acc: 92.2898, loss_bbox: 0.2662, loss_mask: 0.2666, loss: 0.8254 2024-05-27 18:16:42,547 - mmdet - INFO - Epoch [4][2450/7330] lr: 1.000e-04, eta: 9:22:15, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0428, loss_cls: 0.2157, acc: 92.4485, loss_bbox: 0.2669, loss_mask: 0.2616, loss: 0.8197 2024-05-27 18:17:08,523 - mmdet - INFO - Epoch [4][2500/7330] lr: 1.000e-04, eta: 9:21:47, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0446, loss_cls: 0.2250, acc: 92.1594, loss_bbox: 0.2729, loss_mask: 0.2650, loss: 0.8412 2024-05-27 18:17:34,954 - mmdet - INFO - Epoch [4][2550/7330] lr: 1.000e-04, eta: 9:21:20, time: 0.529, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0426, loss_cls: 0.2303, acc: 91.9973, loss_bbox: 0.2741, loss_mask: 0.2671, loss: 0.8469 2024-05-27 18:18:00,953 - mmdet - INFO - Epoch [4][2600/7330] lr: 1.000e-04, eta: 9:20:52, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0453, loss_cls: 0.2137, acc: 92.3706, loss_bbox: 0.2654, loss_mask: 0.2656, loss: 0.8200 2024-05-27 18:18:27,100 - mmdet - INFO - Epoch [4][2650/7330] lr: 1.000e-04, eta: 9:20:24, time: 0.523, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0437, loss_cls: 0.2288, acc: 91.9143, loss_bbox: 0.2787, loss_mask: 0.2627, loss: 0.8469 2024-05-27 18:19:01,431 - mmdet - INFO - Epoch [4][2700/7330] lr: 1.000e-04, eta: 9:20:18, time: 0.687, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0446, loss_cls: 0.2234, acc: 92.2485, loss_bbox: 0.2704, loss_mask: 0.2647, loss: 0.8378 2024-05-27 18:19:30,049 - mmdet - INFO - Epoch [4][2750/7330] lr: 1.000e-04, eta: 9:19:56, time: 0.572, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0436, loss_cls: 0.2202, acc: 92.4353, loss_bbox: 0.2659, loss_mask: 0.2621, loss: 0.8246 2024-05-27 18:19:58,429 - mmdet - INFO - Epoch [4][2800/7330] lr: 1.000e-04, eta: 9:19:34, time: 0.567, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0443, loss_cls: 0.2229, acc: 92.2131, loss_bbox: 0.2749, loss_mask: 0.2665, loss: 0.8398 2024-05-27 18:20:26,588 - mmdet - INFO - Epoch [4][2850/7330] lr: 1.000e-04, eta: 9:19:12, time: 0.563, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0426, loss_cls: 0.2200, acc: 92.3269, loss_bbox: 0.2646, loss_mask: 0.2625, loss: 0.8191 2024-05-27 18:20:52,647 - mmdet - INFO - Epoch [4][2900/7330] lr: 1.000e-04, eta: 9:18:44, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0430, loss_cls: 0.2200, acc: 92.2896, loss_bbox: 0.2662, loss_mask: 0.2718, loss: 0.8335 2024-05-27 18:21:21,405 - mmdet - INFO - Epoch [4][2950/7330] lr: 1.000e-04, eta: 9:18:23, time: 0.575, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0418, loss_cls: 0.2129, acc: 92.4873, loss_bbox: 0.2572, loss_mask: 0.2594, loss: 0.8008 2024-05-27 18:21:47,091 - mmdet - INFO - Epoch [4][3000/7330] lr: 1.000e-04, eta: 9:17:54, time: 0.514, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0452, loss_cls: 0.2144, acc: 92.4216, loss_bbox: 0.2654, loss_mask: 0.2644, loss: 0.8229 2024-05-27 18:22:15,409 - mmdet - INFO - Epoch [4][3050/7330] lr: 1.000e-04, eta: 9:17:32, time: 0.566, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0415, loss_cls: 0.2062, acc: 92.7002, loss_bbox: 0.2588, loss_mask: 0.2534, loss: 0.7913 2024-05-27 18:22:41,413 - mmdet - INFO - Epoch [4][3100/7330] lr: 1.000e-04, eta: 9:17:04, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0423, loss_cls: 0.2152, acc: 92.4023, loss_bbox: 0.2707, loss_mask: 0.2553, loss: 0.8138 2024-05-27 18:23:07,309 - mmdet - INFO - Epoch [4][3150/7330] lr: 1.000e-04, eta: 9:16:36, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0432, loss_cls: 0.2098, acc: 92.5732, loss_bbox: 0.2608, loss_mask: 0.2641, loss: 0.8100 2024-05-27 18:23:33,136 - mmdet - INFO - Epoch [4][3200/7330] lr: 1.000e-04, eta: 9:16:07, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0403, loss_cls: 0.2178, acc: 92.5134, loss_bbox: 0.2575, loss_mask: 0.2649, loss: 0.8107 2024-05-27 18:23:58,896 - mmdet - INFO - Epoch [4][3250/7330] lr: 1.000e-04, eta: 9:15:38, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0428, loss_cls: 0.2131, acc: 92.5447, loss_bbox: 0.2648, loss_mask: 0.2641, loss: 0.8154 2024-05-27 18:24:24,820 - mmdet - INFO - Epoch [4][3300/7330] lr: 1.000e-04, eta: 9:15:10, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0421, loss_cls: 0.2161, acc: 92.5095, loss_bbox: 0.2628, loss_mask: 0.2612, loss: 0.8104 2024-05-27 18:24:50,720 - mmdet - INFO - Epoch [4][3350/7330] lr: 1.000e-04, eta: 9:14:42, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0420, loss_cls: 0.2203, acc: 92.3604, loss_bbox: 0.2622, loss_mask: 0.2613, loss: 0.8213 2024-05-27 18:25:16,544 - mmdet - INFO - Epoch [4][3400/7330] lr: 1.000e-04, eta: 9:14:14, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0434, loss_cls: 0.2115, acc: 92.6785, loss_bbox: 0.2637, loss_mask: 0.2585, loss: 0.8070 2024-05-27 18:25:42,302 - mmdet - INFO - Epoch [4][3450/7330] lr: 1.000e-04, eta: 9:13:45, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0415, loss_cls: 0.2078, acc: 92.7129, loss_bbox: 0.2521, loss_mask: 0.2560, loss: 0.7877 2024-05-27 18:26:08,452 - mmdet - INFO - Epoch [4][3500/7330] lr: 1.000e-04, eta: 9:13:17, time: 0.523, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0425, loss_cls: 0.2160, acc: 92.3911, loss_bbox: 0.2660, loss_mask: 0.2629, loss: 0.8176 2024-05-27 18:26:37,152 - mmdet - INFO - Epoch [4][3550/7330] lr: 1.000e-04, eta: 9:12:56, time: 0.574, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0411, loss_cls: 0.2142, acc: 92.5417, loss_bbox: 0.2625, loss_mask: 0.2609, loss: 0.8117 2024-05-27 18:27:07,271 - mmdet - INFO - Epoch [4][3600/7330] lr: 1.000e-04, eta: 9:12:38, time: 0.602, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0427, loss_cls: 0.2181, acc: 92.3452, loss_bbox: 0.2662, loss_mask: 0.2618, loss: 0.8211 2024-05-27 18:27:35,117 - mmdet - INFO - Epoch [4][3650/7330] lr: 1.000e-04, eta: 9:12:15, time: 0.557, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0420, loss_cls: 0.2138, acc: 92.5037, loss_bbox: 0.2624, loss_mask: 0.2633, loss: 0.8143 2024-05-27 18:28:03,040 - mmdet - INFO - Epoch [4][3700/7330] lr: 1.000e-04, eta: 9:11:51, time: 0.558, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0446, loss_cls: 0.2200, acc: 92.4080, loss_bbox: 0.2648, loss_mask: 0.2676, loss: 0.8287 2024-05-27 18:28:31,385 - mmdet - INFO - Epoch [4][3750/7330] lr: 1.000e-04, eta: 9:11:29, time: 0.567, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0451, loss_cls: 0.2215, acc: 92.2236, loss_bbox: 0.2697, loss_mask: 0.2605, loss: 0.8309 2024-05-27 18:28:57,485 - mmdet - INFO - Epoch [4][3800/7330] lr: 1.000e-04, eta: 9:11:01, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0465, loss_cls: 0.2278, acc: 92.0352, loss_bbox: 0.2757, loss_mask: 0.2594, loss: 0.8428 2024-05-27 18:29:26,348 - mmdet - INFO - Epoch [4][3850/7330] lr: 1.000e-04, eta: 9:10:40, time: 0.577, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0396, loss_cls: 0.2088, acc: 92.6746, loss_bbox: 0.2546, loss_mask: 0.2571, loss: 0.7883 2024-05-27 18:29:52,512 - mmdet - INFO - Epoch [4][3900/7330] lr: 1.000e-04, eta: 9:10:12, time: 0.523, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0423, loss_cls: 0.2201, acc: 92.4099, loss_bbox: 0.2644, loss_mask: 0.2623, loss: 0.8222 2024-05-27 18:30:20,533 - mmdet - INFO - Epoch [4][3950/7330] lr: 1.000e-04, eta: 9:09:49, time: 0.560, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0463, loss_cls: 0.2199, acc: 92.2971, loss_bbox: 0.2714, loss_mask: 0.2627, loss: 0.8330 2024-05-27 18:30:46,472 - mmdet - INFO - Epoch [4][4000/7330] lr: 1.000e-04, eta: 9:09:21, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0458, loss_cls: 0.2264, acc: 92.1707, loss_bbox: 0.2729, loss_mask: 0.2649, loss: 0.8432 2024-05-27 18:31:12,645 - mmdet - INFO - Epoch [4][4050/7330] lr: 1.000e-04, eta: 9:08:53, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0408, loss_cls: 0.2244, acc: 92.1907, loss_bbox: 0.2683, loss_mask: 0.2649, loss: 0.8278 2024-05-27 18:31:38,575 - mmdet - INFO - Epoch [4][4100/7330] lr: 1.000e-04, eta: 9:08:25, time: 0.519, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0423, loss_cls: 0.2183, acc: 92.3171, loss_bbox: 0.2674, loss_mask: 0.2606, loss: 0.8189 2024-05-27 18:32:04,640 - mmdet - INFO - Epoch [4][4150/7330] lr: 1.000e-04, eta: 9:07:57, time: 0.521, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0443, loss_cls: 0.2354, acc: 91.7285, loss_bbox: 0.2818, loss_mask: 0.2646, loss: 0.8586 2024-05-27 18:32:30,418 - mmdet - INFO - Epoch [4][4200/7330] lr: 1.000e-04, eta: 9:07:29, time: 0.516, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0456, loss_cls: 0.2225, acc: 92.1660, loss_bbox: 0.2757, loss_mask: 0.2601, loss: 0.8401 2024-05-27 18:32:56,239 - mmdet - INFO - Epoch [4][4250/7330] lr: 1.000e-04, eta: 9:07:00, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0427, loss_cls: 0.2149, acc: 92.4734, loss_bbox: 0.2663, loss_mask: 0.2592, loss: 0.8146 2024-05-27 18:33:22,203 - mmdet - INFO - Epoch [4][4300/7330] lr: 1.000e-04, eta: 9:06:32, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0408, loss_cls: 0.2126, acc: 92.5728, loss_bbox: 0.2570, loss_mask: 0.2582, loss: 0.7960 2024-05-27 18:33:48,105 - mmdet - INFO - Epoch [4][4350/7330] lr: 1.000e-04, eta: 9:06:04, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0420, loss_cls: 0.2220, acc: 92.2498, loss_bbox: 0.2717, loss_mask: 0.2640, loss: 0.8294 2024-05-27 18:34:13,964 - mmdet - INFO - Epoch [4][4400/7330] lr: 1.000e-04, eta: 9:05:36, time: 0.517, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0433, loss_cls: 0.2204, acc: 92.4436, loss_bbox: 0.2615, loss_mask: 0.2653, loss: 0.8232 2024-05-27 18:34:42,087 - mmdet - INFO - Epoch [4][4450/7330] lr: 1.000e-04, eta: 9:05:13, time: 0.562, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0434, loss_cls: 0.2180, acc: 92.3215, loss_bbox: 0.2717, loss_mask: 0.2649, loss: 0.8307 2024-05-27 18:35:12,435 - mmdet - INFO - Epoch [4][4500/7330] lr: 1.000e-04, eta: 9:04:55, time: 0.607, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0427, loss_cls: 0.2250, acc: 92.2695, loss_bbox: 0.2707, loss_mask: 0.2684, loss: 0.8376 2024-05-27 18:35:40,494 - mmdet - INFO - Epoch [4][4550/7330] lr: 1.000e-04, eta: 9:04:32, time: 0.561, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0446, loss_cls: 0.2199, acc: 92.4094, loss_bbox: 0.2652, loss_mask: 0.2619, loss: 0.8254 2024-05-27 18:36:10,754 - mmdet - INFO - Epoch [4][4600/7330] lr: 1.000e-04, eta: 9:04:14, time: 0.605, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0456, loss_cls: 0.2237, acc: 92.0281, loss_bbox: 0.2749, loss_mask: 0.2689, loss: 0.8464 2024-05-27 18:36:36,637 - mmdet - INFO - Epoch [4][4650/7330] lr: 1.000e-04, eta: 9:03:45, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0430, loss_cls: 0.2184, acc: 92.3818, loss_bbox: 0.2611, loss_mask: 0.2547, loss: 0.8096 2024-05-27 18:37:04,542 - mmdet - INFO - Epoch [4][4700/7330] lr: 1.000e-04, eta: 9:03:22, time: 0.558, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0411, loss_cls: 0.2136, acc: 92.5449, loss_bbox: 0.2615, loss_mask: 0.2633, loss: 0.8105 2024-05-27 18:37:30,430 - mmdet - INFO - Epoch [4][4750/7330] lr: 1.000e-04, eta: 9:02:54, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0415, loss_cls: 0.2173, acc: 92.2759, loss_bbox: 0.2602, loss_mask: 0.2643, loss: 0.8143 2024-05-27 18:37:56,132 - mmdet - INFO - Epoch [4][4800/7330] lr: 1.000e-04, eta: 9:02:25, time: 0.514, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0429, loss_cls: 0.2187, acc: 92.4395, loss_bbox: 0.2606, loss_mask: 0.2626, loss: 0.8174 2024-05-27 18:38:24,713 - mmdet - INFO - Epoch [4][4850/7330] lr: 1.000e-04, eta: 9:02:03, time: 0.572, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0383, loss_cls: 0.2136, acc: 92.5911, loss_bbox: 0.2566, loss_mask: 0.2604, loss: 0.7983 2024-05-27 18:38:50,529 - mmdet - INFO - Epoch [4][4900/7330] lr: 1.000e-04, eta: 9:01:34, time: 0.516, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0443, loss_cls: 0.2228, acc: 92.1567, loss_bbox: 0.2722, loss_mask: 0.2655, loss: 0.8363 2024-05-27 18:39:16,402 - mmdet - INFO - Epoch [4][4950/7330] lr: 1.000e-04, eta: 9:01:06, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0444, loss_cls: 0.2243, acc: 92.2021, loss_bbox: 0.2714, loss_mask: 0.2649, loss: 0.8388 2024-05-27 18:39:42,105 - mmdet - INFO - Epoch [4][5000/7330] lr: 1.000e-04, eta: 9:00:38, time: 0.514, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0426, loss_cls: 0.2144, acc: 92.5085, loss_bbox: 0.2610, loss_mask: 0.2618, loss: 0.8113 2024-05-27 18:40:07,899 - mmdet - INFO - Epoch [4][5050/7330] lr: 1.000e-04, eta: 9:00:09, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0394, loss_cls: 0.2094, acc: 92.7361, loss_bbox: 0.2548, loss_mask: 0.2572, loss: 0.7873 2024-05-27 18:40:33,828 - mmdet - INFO - Epoch [4][5100/7330] lr: 1.000e-04, eta: 8:59:41, time: 0.519, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0421, loss_cls: 0.2131, acc: 92.5203, loss_bbox: 0.2663, loss_mask: 0.2566, loss: 0.8089 2024-05-27 18:40:59,709 - mmdet - INFO - Epoch [4][5150/7330] lr: 1.000e-04, eta: 8:59:13, time: 0.518, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0431, loss_cls: 0.2213, acc: 92.2305, loss_bbox: 0.2691, loss_mask: 0.2606, loss: 0.8230 2024-05-27 18:41:25,637 - mmdet - INFO - Epoch [4][5200/7330] lr: 1.000e-04, eta: 8:58:45, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0427, loss_cls: 0.2164, acc: 92.4014, loss_bbox: 0.2659, loss_mask: 0.2606, loss: 0.8165 2024-05-27 18:41:51,480 - mmdet - INFO - Epoch [4][5250/7330] lr: 1.000e-04, eta: 8:58:16, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0426, loss_cls: 0.2148, acc: 92.5371, loss_bbox: 0.2599, loss_mask: 0.2599, loss: 0.8080 2024-05-27 18:42:17,579 - mmdet - INFO - Epoch [4][5300/7330] lr: 1.000e-04, eta: 8:57:49, time: 0.522, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0455, loss_cls: 0.2283, acc: 92.0239, loss_bbox: 0.2802, loss_mask: 0.2696, loss: 0.8568 2024-05-27 18:42:45,852 - mmdet - INFO - Epoch [4][5350/7330] lr: 1.000e-04, eta: 8:57:26, time: 0.565, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0430, loss_cls: 0.2233, acc: 92.1855, loss_bbox: 0.2717, loss_mask: 0.2608, loss: 0.8316 2024-05-27 18:43:19,513 - mmdet - INFO - Epoch [4][5400/7330] lr: 1.000e-04, eta: 8:57:15, time: 0.673, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0456, loss_cls: 0.2274, acc: 91.9780, loss_bbox: 0.2825, loss_mask: 0.2694, loss: 0.8576 2024-05-27 18:43:45,585 - mmdet - INFO - Epoch [4][5450/7330] lr: 1.000e-04, eta: 8:56:47, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0417, loss_cls: 0.2102, acc: 92.7234, loss_bbox: 0.2575, loss_mask: 0.2570, loss: 0.7970 2024-05-27 18:44:15,699 - mmdet - INFO - Epoch [4][5500/7330] lr: 1.000e-04, eta: 8:56:28, time: 0.602, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0391, loss_cls: 0.2065, acc: 92.8413, loss_bbox: 0.2532, loss_mask: 0.2609, loss: 0.7873 2024-05-27 18:44:41,650 - mmdet - INFO - Epoch [4][5550/7330] lr: 1.000e-04, eta: 8:56:00, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0437, loss_cls: 0.2264, acc: 92.2139, loss_bbox: 0.2699, loss_mask: 0.2633, loss: 0.8384 2024-05-27 18:45:10,440 - mmdet - INFO - Epoch [4][5600/7330] lr: 1.000e-04, eta: 8:55:38, time: 0.576, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0450, loss_cls: 0.2156, acc: 92.3975, loss_bbox: 0.2684, loss_mask: 0.2609, loss: 0.8220 2024-05-27 18:45:36,193 - mmdet - INFO - Epoch [4][5650/7330] lr: 1.000e-04, eta: 8:55:10, time: 0.515, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0461, loss_cls: 0.2219, acc: 92.2986, loss_bbox: 0.2701, loss_mask: 0.2627, loss: 0.8347 2024-05-27 18:46:02,084 - mmdet - INFO - Epoch [4][5700/7330] lr: 1.000e-04, eta: 8:54:42, time: 0.518, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0454, loss_cls: 0.2164, acc: 92.4058, loss_bbox: 0.2645, loss_mask: 0.2599, loss: 0.8197 2024-05-27 18:46:30,513 - mmdet - INFO - Epoch [4][5750/7330] lr: 1.000e-04, eta: 8:54:19, time: 0.569, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0386, loss_cls: 0.1997, acc: 93.1030, loss_bbox: 0.2447, loss_mask: 0.2553, loss: 0.7665 2024-05-27 18:46:56,340 - mmdet - INFO - Epoch [4][5800/7330] lr: 1.000e-04, eta: 8:53:51, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0422, loss_cls: 0.2163, acc: 92.4731, loss_bbox: 0.2604, loss_mask: 0.2558, loss: 0.8078 2024-05-27 18:47:22,468 - mmdet - INFO - Epoch [4][5850/7330] lr: 1.000e-04, eta: 8:53:23, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0476, loss_cls: 0.2230, acc: 92.1567, loss_bbox: 0.2744, loss_mask: 0.2671, loss: 0.8479 2024-05-27 18:47:48,623 - mmdet - INFO - Epoch [4][5900/7330] lr: 1.000e-04, eta: 8:52:55, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0438, loss_cls: 0.2148, acc: 92.4512, loss_bbox: 0.2689, loss_mask: 0.2679, loss: 0.8282 2024-05-27 18:48:14,577 - mmdet - INFO - Epoch [4][5950/7330] lr: 1.000e-04, eta: 8:52:27, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0432, loss_cls: 0.2226, acc: 92.2776, loss_bbox: 0.2665, loss_mask: 0.2578, loss: 0.8217 2024-05-27 18:48:47,609 - mmdet - INFO - Epoch [4][6000/7330] lr: 1.000e-04, eta: 8:52:14, time: 0.661, data_time: 0.158, memory: 6051, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0421, loss_cls: 0.2081, acc: 92.6653, loss_bbox: 0.2577, loss_mask: 0.2542, loss: 0.7947 2024-05-27 18:49:13,464 - mmdet - INFO - Epoch [4][6050/7330] lr: 1.000e-04, eta: 8:51:46, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0394, loss_cls: 0.2135, acc: 92.5166, loss_bbox: 0.2597, loss_mask: 0.2598, loss: 0.8008 2024-05-27 18:49:39,605 - mmdet - INFO - Epoch [4][6100/7330] lr: 1.000e-04, eta: 8:51:18, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0439, loss_cls: 0.2185, acc: 92.2776, loss_bbox: 0.2673, loss_mask: 0.2606, loss: 0.8243 2024-05-27 18:50:05,595 - mmdet - INFO - Epoch [4][6150/7330] lr: 1.000e-04, eta: 8:50:50, time: 0.520, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0450, loss_cls: 0.2230, acc: 92.1245, loss_bbox: 0.2688, loss_mask: 0.2643, loss: 0.8325 2024-05-27 18:50:31,603 - mmdet - INFO - Epoch [4][6200/7330] lr: 1.000e-04, eta: 8:50:23, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0402, loss_cls: 0.2213, acc: 92.3210, loss_bbox: 0.2622, loss_mask: 0.2619, loss: 0.8174 2024-05-27 18:50:59,525 - mmdet - INFO - Epoch [4][6250/7330] lr: 1.000e-04, eta: 8:49:59, time: 0.558, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0401, loss_cls: 0.2133, acc: 92.5796, loss_bbox: 0.2593, loss_mask: 0.2637, loss: 0.8047 2024-05-27 18:51:33,002 - mmdet - INFO - Epoch [4][6300/7330] lr: 1.000e-04, eta: 8:49:46, time: 0.670, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0427, loss_cls: 0.2184, acc: 92.2778, loss_bbox: 0.2661, loss_mask: 0.2563, loss: 0.8134 2024-05-27 18:51:59,048 - mmdet - INFO - Epoch [4][6350/7330] lr: 1.000e-04, eta: 8:49:19, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0432, loss_cls: 0.2106, acc: 92.6575, loss_bbox: 0.2604, loss_mask: 0.2632, loss: 0.8097 2024-05-27 18:52:29,280 - mmdet - INFO - Epoch [4][6400/7330] lr: 1.000e-04, eta: 8:49:00, time: 0.605, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0429, loss_cls: 0.2213, acc: 92.2812, loss_bbox: 0.2684, loss_mask: 0.2566, loss: 0.8187 2024-05-27 18:52:55,267 - mmdet - INFO - Epoch [4][6450/7330] lr: 1.000e-04, eta: 8:48:32, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0400, loss_cls: 0.2186, acc: 92.4834, loss_bbox: 0.2595, loss_mask: 0.2615, loss: 0.8091 2024-05-27 18:53:24,134 - mmdet - INFO - Epoch [4][6500/7330] lr: 1.000e-04, eta: 8:48:10, time: 0.577, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0419, loss_cls: 0.2092, acc: 92.5532, loss_bbox: 0.2582, loss_mask: 0.2613, loss: 0.8007 2024-05-27 18:53:50,251 - mmdet - INFO - Epoch [4][6550/7330] lr: 1.000e-04, eta: 8:47:42, time: 0.522, data_time: 0.025, memory: 6051, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0436, loss_cls: 0.2171, acc: 92.4744, loss_bbox: 0.2656, loss_mask: 0.2619, loss: 0.8200 2024-05-27 18:54:18,662 - mmdet - INFO - Epoch [4][6600/7330] lr: 1.000e-04, eta: 8:47:19, time: 0.568, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0446, loss_cls: 0.2256, acc: 92.1799, loss_bbox: 0.2724, loss_mask: 0.2661, loss: 0.8404 2024-05-27 18:54:44,448 - mmdet - INFO - Epoch [4][6650/7330] lr: 1.000e-04, eta: 8:46:50, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0438, loss_cls: 0.2243, acc: 92.1377, loss_bbox: 0.2680, loss_mask: 0.2655, loss: 0.8346 2024-05-27 18:55:10,388 - mmdet - INFO - Epoch [4][6700/7330] lr: 1.000e-04, eta: 8:46:22, time: 0.519, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0441, loss_cls: 0.2248, acc: 92.0696, loss_bbox: 0.2695, loss_mask: 0.2666, loss: 0.8364 2024-05-27 18:55:36,163 - mmdet - INFO - Epoch [4][6750/7330] lr: 1.000e-04, eta: 8:45:54, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0402, loss_cls: 0.2159, acc: 92.5010, loss_bbox: 0.2625, loss_mask: 0.2601, loss: 0.8098 2024-05-27 18:56:02,169 - mmdet - INFO - Epoch [4][6800/7330] lr: 1.000e-04, eta: 8:45:26, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0424, loss_cls: 0.2279, acc: 91.9644, loss_bbox: 0.2753, loss_mask: 0.2653, loss: 0.8431 2024-05-27 18:56:28,194 - mmdet - INFO - Epoch [4][6850/7330] lr: 1.000e-04, eta: 8:44:58, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0428, loss_cls: 0.2152, acc: 92.5435, loss_bbox: 0.2597, loss_mask: 0.2593, loss: 0.8082 2024-05-27 18:56:54,398 - mmdet - INFO - Epoch [4][6900/7330] lr: 1.000e-04, eta: 8:44:30, time: 0.524, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0471, loss_cls: 0.2309, acc: 91.8877, loss_bbox: 0.2793, loss_mask: 0.2673, loss: 0.8582 2024-05-27 18:57:20,461 - mmdet - INFO - Epoch [4][6950/7330] lr: 1.000e-04, eta: 8:44:03, time: 0.521, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0449, loss_cls: 0.2205, acc: 92.3438, loss_bbox: 0.2590, loss_mask: 0.2622, loss: 0.8178 2024-05-27 18:57:46,344 - mmdet - INFO - Epoch [4][7000/7330] lr: 1.000e-04, eta: 8:43:34, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0433, loss_cls: 0.2167, acc: 92.3645, loss_bbox: 0.2643, loss_mask: 0.2618, loss: 0.8166 2024-05-27 18:58:12,225 - mmdet - INFO - Epoch [4][7050/7330] lr: 1.000e-04, eta: 8:43:06, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0406, loss_cls: 0.2047, acc: 92.8953, loss_bbox: 0.2513, loss_mask: 0.2586, loss: 0.7857 2024-05-27 18:58:40,236 - mmdet - INFO - Epoch [4][7100/7330] lr: 1.000e-04, eta: 8:42:42, time: 0.560, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0403, loss_cls: 0.2111, acc: 92.5344, loss_bbox: 0.2580, loss_mask: 0.2596, loss: 0.7969 2024-05-27 18:59:08,693 - mmdet - INFO - Epoch [4][7150/7330] lr: 1.000e-04, eta: 8:42:19, time: 0.569, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0445, loss_cls: 0.2234, acc: 92.2268, loss_bbox: 0.2677, loss_mask: 0.2668, loss: 0.8337 2024-05-27 18:59:39,398 - mmdet - INFO - Epoch [4][7200/7330] lr: 1.000e-04, eta: 8:42:01, time: 0.614, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0407, loss_cls: 0.2124, acc: 92.4507, loss_bbox: 0.2630, loss_mask: 0.2607, loss: 0.8044 2024-05-27 19:00:07,429 - mmdet - INFO - Epoch [4][7250/7330] lr: 1.000e-04, eta: 8:41:37, time: 0.561, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0407, loss_cls: 0.2108, acc: 92.6062, loss_bbox: 0.2574, loss_mask: 0.2564, loss: 0.7968 2024-05-27 19:00:35,350 - mmdet - INFO - Epoch [4][7300/7330] lr: 1.000e-04, eta: 8:41:13, time: 0.558, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0415, loss_cls: 0.2183, acc: 92.4070, loss_bbox: 0.2648, loss_mask: 0.2592, loss: 0.8149 2024-05-27 19:00:51,636 - mmdet - INFO - Saving checkpoint at 4 epochs 2024-05-27 19:02:42,005 - mmdet - INFO - Evaluating bbox... 2024-05-27 19:03:10,727 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.381 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.613 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.408 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.203 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.419 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.541 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.511 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.511 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.511 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.305 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.563 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.679 2024-05-27 19:03:10,727 - mmdet - INFO - Evaluating segm... 2024-05-27 19:03:40,221 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.349 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.576 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.363 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.138 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.377 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.565 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.464 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.464 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.464 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.244 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.514 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.665 2024-05-27 19:03:40,792 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 19:03:40,793 - mmdet - INFO - Epoch(val) [4][625] bbox_mAP: 0.3810, bbox_mAP_50: 0.6130, bbox_mAP_75: 0.4080, bbox_mAP_s: 0.2030, bbox_mAP_m: 0.4190, bbox_mAP_l: 0.5410, bbox_mAP_copypaste: 0.381 0.613 0.408 0.203 0.419 0.541, segm_mAP: 0.3490, segm_mAP_50: 0.5760, segm_mAP_75: 0.3630, segm_mAP_s: 0.1380, segm_mAP_m: 0.3770, segm_mAP_l: 0.5650, segm_mAP_copypaste: 0.349 0.576 0.363 0.138 0.377 0.565 2024-05-27 19:04:15,242 - mmdet - INFO - Epoch [5][50/7330] lr: 1.000e-04, eta: 8:40:14, time: 0.689, data_time: 0.081, memory: 6051, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0431, loss_cls: 0.2079, acc: 92.6306, loss_bbox: 0.2554, loss_mask: 0.2577, loss: 0.7928 2024-05-27 19:04:41,252 - mmdet - INFO - Epoch [5][100/7330] lr: 1.000e-04, eta: 8:39:46, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0406, loss_cls: 0.2048, acc: 92.6104, loss_bbox: 0.2633, loss_mask: 0.2558, loss: 0.7912 2024-05-27 19:05:10,019 - mmdet - INFO - Epoch [5][150/7330] lr: 1.000e-04, eta: 8:39:24, time: 0.575, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0452, loss_cls: 0.2138, acc: 92.3389, loss_bbox: 0.2706, loss_mask: 0.2594, loss: 0.8187 2024-05-27 19:05:35,911 - mmdet - INFO - Epoch [5][200/7330] lr: 1.000e-04, eta: 8:38:56, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0439, loss_cls: 0.2167, acc: 92.2937, loss_bbox: 0.2654, loss_mask: 0.2593, loss: 0.8148 2024-05-27 19:06:03,972 - mmdet - INFO - Epoch [5][250/7330] lr: 1.000e-04, eta: 8:38:32, time: 0.561, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0394, loss_cls: 0.2048, acc: 92.7478, loss_bbox: 0.2546, loss_mask: 0.2527, loss: 0.7789 2024-05-27 19:06:34,894 - mmdet - INFO - Epoch [5][300/7330] lr: 1.000e-04, eta: 8:38:14, time: 0.618, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0414, loss_cls: 0.2041, acc: 92.6577, loss_bbox: 0.2531, loss_mask: 0.2470, loss: 0.7724 2024-05-27 19:07:00,833 - mmdet - INFO - Epoch [5][350/7330] lr: 1.000e-04, eta: 8:37:46, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0401, loss_cls: 0.2049, acc: 92.8240, loss_bbox: 0.2555, loss_mask: 0.2540, loss: 0.7820 2024-05-27 19:07:26,610 - mmdet - INFO - Epoch [5][400/7330] lr: 1.000e-04, eta: 8:37:17, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0390, loss_cls: 0.1987, acc: 92.8804, loss_bbox: 0.2488, loss_mask: 0.2556, loss: 0.7682 2024-05-27 19:07:52,298 - mmdet - INFO - Epoch [5][450/7330] lr: 1.000e-04, eta: 8:36:49, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0418, loss_cls: 0.2182, acc: 92.3228, loss_bbox: 0.2692, loss_mask: 0.2574, loss: 0.8149 2024-05-27 19:08:21,088 - mmdet - INFO - Epoch [5][500/7330] lr: 1.000e-04, eta: 8:36:26, time: 0.576, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0395, loss_cls: 0.2039, acc: 92.7712, loss_bbox: 0.2521, loss_mask: 0.2452, loss: 0.7655 2024-05-27 19:08:49,081 - mmdet - INFO - Epoch [5][550/7330] lr: 1.000e-04, eta: 8:36:02, time: 0.560, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0398, loss_cls: 0.2062, acc: 92.6987, loss_bbox: 0.2532, loss_mask: 0.2529, loss: 0.7794 2024-05-27 19:09:14,702 - mmdet - INFO - Epoch [5][600/7330] lr: 1.000e-04, eta: 8:35:33, time: 0.512, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0395, loss_cls: 0.1965, acc: 93.1140, loss_bbox: 0.2421, loss_mask: 0.2555, loss: 0.7602 2024-05-27 19:09:40,366 - mmdet - INFO - Epoch [5][650/7330] lr: 1.000e-04, eta: 8:35:05, time: 0.513, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0421, loss_cls: 0.2034, acc: 92.7332, loss_bbox: 0.2581, loss_mask: 0.2547, loss: 0.7867 2024-05-27 19:10:06,393 - mmdet - INFO - Epoch [5][700/7330] lr: 1.000e-04, eta: 8:34:37, time: 0.521, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0417, loss_cls: 0.2125, acc: 92.4429, loss_bbox: 0.2684, loss_mask: 0.2568, loss: 0.8090 2024-05-27 19:10:32,019 - mmdet - INFO - Epoch [5][750/7330] lr: 1.000e-04, eta: 8:34:08, time: 0.513, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0426, loss_cls: 0.2090, acc: 92.5107, loss_bbox: 0.2598, loss_mask: 0.2523, loss: 0.7931 2024-05-27 19:10:59,789 - mmdet - INFO - Epoch [5][800/7330] lr: 1.000e-04, eta: 8:33:44, time: 0.555, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0418, loss_cls: 0.2089, acc: 92.5757, loss_bbox: 0.2648, loss_mask: 0.2549, loss: 0.7992 2024-05-27 19:11:25,218 - mmdet - INFO - Epoch [5][850/7330] lr: 1.000e-04, eta: 8:33:15, time: 0.509, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0398, loss_cls: 0.2049, acc: 92.8040, loss_bbox: 0.2499, loss_mask: 0.2454, loss: 0.7666 2024-05-27 19:11:50,821 - mmdet - INFO - Epoch [5][900/7330] lr: 1.000e-04, eta: 8:32:46, time: 0.512, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0417, loss_cls: 0.2127, acc: 92.4028, loss_bbox: 0.2656, loss_mask: 0.2592, loss: 0.8060 2024-05-27 19:12:16,638 - mmdet - INFO - Epoch [5][950/7330] lr: 1.000e-04, eta: 8:32:18, time: 0.516, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0434, loss_cls: 0.2126, acc: 92.4133, loss_bbox: 0.2677, loss_mask: 0.2603, loss: 0.8154 2024-05-27 19:12:42,095 - mmdet - INFO - Epoch [5][1000/7330] lr: 1.000e-04, eta: 8:31:49, time: 0.509, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0419, loss_cls: 0.2066, acc: 92.6506, loss_bbox: 0.2565, loss_mask: 0.2561, loss: 0.7909 2024-05-27 19:13:10,340 - mmdet - INFO - Epoch [5][1050/7330] lr: 1.000e-04, eta: 8:31:26, time: 0.565, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0417, loss_cls: 0.2071, acc: 92.7380, loss_bbox: 0.2603, loss_mask: 0.2504, loss: 0.7875 2024-05-27 19:13:36,266 - mmdet - INFO - Epoch [5][1100/7330] lr: 1.000e-04, eta: 8:30:58, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0410, loss_cls: 0.2043, acc: 92.6665, loss_bbox: 0.2613, loss_mask: 0.2573, loss: 0.7934 2024-05-27 19:14:04,153 - mmdet - INFO - Epoch [5][1150/7330] lr: 1.000e-04, eta: 8:30:33, time: 0.558, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0418, loss_cls: 0.2114, acc: 92.3352, loss_bbox: 0.2641, loss_mask: 0.2590, loss: 0.8019 2024-05-27 19:14:36,508 - mmdet - INFO - Epoch [5][1200/7330] lr: 1.000e-04, eta: 8:30:17, time: 0.647, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0400, loss_cls: 0.2020, acc: 92.7712, loss_bbox: 0.2540, loss_mask: 0.2547, loss: 0.7795 2024-05-27 19:15:02,402 - mmdet - INFO - Epoch [5][1250/7330] lr: 1.000e-04, eta: 8:29:49, time: 0.518, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0439, loss_cls: 0.2129, acc: 92.4028, loss_bbox: 0.2665, loss_mask: 0.2628, loss: 0.8156 2024-05-27 19:15:28,336 - mmdet - INFO - Epoch [5][1300/7330] lr: 1.000e-04, eta: 8:29:21, time: 0.518, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0434, loss_cls: 0.2081, acc: 92.6501, loss_bbox: 0.2548, loss_mask: 0.2525, loss: 0.7890 2024-05-27 19:15:54,141 - mmdet - INFO - Epoch [5][1350/7330] lr: 1.000e-04, eta: 8:28:53, time: 0.516, data_time: 0.025, memory: 6051, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0406, loss_cls: 0.2074, acc: 92.6487, loss_bbox: 0.2581, loss_mask: 0.2503, loss: 0.7832 2024-05-27 19:16:22,509 - mmdet - INFO - Epoch [5][1400/7330] lr: 1.000e-04, eta: 8:28:30, time: 0.567, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0420, loss_cls: 0.2082, acc: 92.5376, loss_bbox: 0.2600, loss_mask: 0.2585, loss: 0.7969 2024-05-27 19:16:50,439 - mmdet - INFO - Epoch [5][1450/7330] lr: 1.000e-04, eta: 8:28:05, time: 0.559, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0440, loss_cls: 0.2116, acc: 92.3921, loss_bbox: 0.2663, loss_mask: 0.2583, loss: 0.8103 2024-05-27 19:17:16,226 - mmdet - INFO - Epoch [5][1500/7330] lr: 1.000e-04, eta: 8:27:37, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0413, loss_cls: 0.2060, acc: 92.6873, loss_bbox: 0.2565, loss_mask: 0.2580, loss: 0.7911 2024-05-27 19:17:42,011 - mmdet - INFO - Epoch [5][1550/7330] lr: 1.000e-04, eta: 8:27:09, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0406, loss_cls: 0.2061, acc: 92.7627, loss_bbox: 0.2560, loss_mask: 0.2542, loss: 0.7862 2024-05-27 19:18:07,897 - mmdet - INFO - Epoch [5][1600/7330] lr: 1.000e-04, eta: 8:26:41, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0422, loss_cls: 0.2135, acc: 92.3364, loss_bbox: 0.2652, loss_mask: 0.2615, loss: 0.8103 2024-05-27 19:18:33,671 - mmdet - INFO - Epoch [5][1650/7330] lr: 1.000e-04, eta: 8:26:13, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0408, loss_cls: 0.2116, acc: 92.5996, loss_bbox: 0.2586, loss_mask: 0.2593, loss: 0.7988 2024-05-27 19:19:01,355 - mmdet - INFO - Epoch [5][1700/7330] lr: 1.000e-04, eta: 8:25:48, time: 0.554, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0417, loss_cls: 0.2096, acc: 92.5474, loss_bbox: 0.2563, loss_mask: 0.2582, loss: 0.7958 2024-05-27 19:19:27,089 - mmdet - INFO - Epoch [5][1750/7330] lr: 1.000e-04, eta: 8:25:20, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0400, loss_cls: 0.2035, acc: 92.8953, loss_bbox: 0.2507, loss_mask: 0.2519, loss: 0.7750 2024-05-27 19:19:52,819 - mmdet - INFO - Epoch [5][1800/7330] lr: 1.000e-04, eta: 8:24:51, time: 0.514, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0414, loss_cls: 0.2078, acc: 92.5071, loss_bbox: 0.2566, loss_mask: 0.2564, loss: 0.7911 2024-05-27 19:20:18,559 - mmdet - INFO - Epoch [5][1850/7330] lr: 1.000e-04, eta: 8:24:23, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0418, loss_cls: 0.2136, acc: 92.3328, loss_bbox: 0.2636, loss_mask: 0.2570, loss: 0.8053 2024-05-27 19:20:44,207 - mmdet - INFO - Epoch [5][1900/7330] lr: 1.000e-04, eta: 8:23:54, time: 0.513, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0414, loss_cls: 0.2080, acc: 92.5527, loss_bbox: 0.2575, loss_mask: 0.2542, loss: 0.7896 2024-05-27 19:21:12,497 - mmdet - INFO - Epoch [5][1950/7330] lr: 1.000e-04, eta: 8:23:31, time: 0.566, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0420, loss_cls: 0.2067, acc: 92.6912, loss_bbox: 0.2563, loss_mask: 0.2526, loss: 0.7888 2024-05-27 19:21:38,315 - mmdet - INFO - Epoch [5][2000/7330] lr: 1.000e-04, eta: 8:23:03, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0414, loss_cls: 0.2012, acc: 92.8618, loss_bbox: 0.2524, loss_mask: 0.2524, loss: 0.7742 2024-05-27 19:22:06,264 - mmdet - INFO - Epoch [5][2050/7330] lr: 1.000e-04, eta: 8:22:38, time: 0.559, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0414, loss_cls: 0.2058, acc: 92.6033, loss_bbox: 0.2580, loss_mask: 0.2531, loss: 0.7870 2024-05-27 19:22:38,877 - mmdet - INFO - Epoch [5][2100/7330] lr: 1.000e-04, eta: 8:22:22, time: 0.652, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0418, loss_cls: 0.2109, acc: 92.5613, loss_bbox: 0.2588, loss_mask: 0.2540, loss: 0.7947 2024-05-27 19:23:04,906 - mmdet - INFO - Epoch [5][2150/7330] lr: 1.000e-04, eta: 8:21:55, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0395, loss_cls: 0.1964, acc: 93.0518, loss_bbox: 0.2475, loss_mask: 0.2514, loss: 0.7630 2024-05-27 19:23:30,370 - mmdet - INFO - Epoch [5][2200/7330] lr: 1.000e-04, eta: 8:21:26, time: 0.509, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0400, loss_cls: 0.1971, acc: 93.0742, loss_bbox: 0.2460, loss_mask: 0.2599, loss: 0.7721 2024-05-27 19:23:56,231 - mmdet - INFO - Epoch [5][2250/7330] lr: 1.000e-04, eta: 8:20:58, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0419, loss_cls: 0.2125, acc: 92.4001, loss_bbox: 0.2642, loss_mask: 0.2611, loss: 0.8080 2024-05-27 19:24:24,702 - mmdet - INFO - Epoch [5][2300/7330] lr: 1.000e-04, eta: 8:20:34, time: 0.569, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0399, loss_cls: 0.2031, acc: 92.7393, loss_bbox: 0.2562, loss_mask: 0.2565, loss: 0.7838 2024-05-27 19:24:52,827 - mmdet - INFO - Epoch [5][2350/7330] lr: 1.000e-04, eta: 8:20:10, time: 0.562, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0412, loss_cls: 0.2050, acc: 92.7471, loss_bbox: 0.2569, loss_mask: 0.2538, loss: 0.7840 2024-05-27 19:25:18,852 - mmdet - INFO - Epoch [5][2400/7330] lr: 1.000e-04, eta: 8:19:43, time: 0.520, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0404, loss_cls: 0.2062, acc: 92.5894, loss_bbox: 0.2576, loss_mask: 0.2553, loss: 0.7854 2024-05-27 19:25:44,868 - mmdet - INFO - Epoch [5][2450/7330] lr: 1.000e-04, eta: 8:19:15, time: 0.520, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0403, loss_cls: 0.2051, acc: 92.7603, loss_bbox: 0.2566, loss_mask: 0.2561, loss: 0.7865 2024-05-27 19:26:10,612 - mmdet - INFO - Epoch [5][2500/7330] lr: 1.000e-04, eta: 8:18:47, time: 0.515, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0420, loss_cls: 0.2155, acc: 92.3628, loss_bbox: 0.2657, loss_mask: 0.2612, loss: 0.8145 2024-05-27 19:26:36,378 - mmdet - INFO - Epoch [5][2550/7330] lr: 1.000e-04, eta: 8:18:18, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0410, loss_cls: 0.2074, acc: 92.6089, loss_bbox: 0.2571, loss_mask: 0.2547, loss: 0.7869 2024-05-27 19:27:05,033 - mmdet - INFO - Epoch [5][2600/7330] lr: 1.000e-04, eta: 8:17:55, time: 0.573, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0424, loss_cls: 0.2043, acc: 92.7947, loss_bbox: 0.2566, loss_mask: 0.2581, loss: 0.7915 2024-05-27 19:27:31,091 - mmdet - INFO - Epoch [5][2650/7330] lr: 1.000e-04, eta: 8:17:27, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0437, loss_cls: 0.2138, acc: 92.2683, loss_bbox: 0.2646, loss_mask: 0.2545, loss: 0.8064 2024-05-27 19:27:57,149 - mmdet - INFO - Epoch [5][2700/7330] lr: 1.000e-04, eta: 8:17:00, time: 0.521, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0410, loss_cls: 0.2095, acc: 92.5776, loss_bbox: 0.2542, loss_mask: 0.2545, loss: 0.7866 2024-05-27 19:28:23,200 - mmdet - INFO - Epoch [5][2750/7330] lr: 1.000e-04, eta: 8:16:32, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0375, loss_cls: 0.2057, acc: 92.7615, loss_bbox: 0.2545, loss_mask: 0.2522, loss: 0.7763 2024-05-27 19:28:48,983 - mmdet - INFO - Epoch [5][2800/7330] lr: 1.000e-04, eta: 8:16:04, time: 0.516, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0393, loss_cls: 0.2012, acc: 92.9675, loss_bbox: 0.2492, loss_mask: 0.2524, loss: 0.7710 2024-05-27 19:29:17,275 - mmdet - INFO - Epoch [5][2850/7330] lr: 1.000e-04, eta: 8:15:40, time: 0.566, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0405, loss_cls: 0.1981, acc: 92.9297, loss_bbox: 0.2518, loss_mask: 0.2479, loss: 0.7656 2024-05-27 19:29:43,194 - mmdet - INFO - Epoch [5][2900/7330] lr: 1.000e-04, eta: 8:15:12, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0429, loss_cls: 0.2109, acc: 92.5940, loss_bbox: 0.2599, loss_mask: 0.2549, loss: 0.7988 2024-05-27 19:30:11,677 - mmdet - INFO - Epoch [5][2950/7330] lr: 1.000e-04, eta: 8:14:49, time: 0.570, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0399, loss_cls: 0.2078, acc: 92.7671, loss_bbox: 0.2519, loss_mask: 0.2594, loss: 0.7876 2024-05-27 19:30:44,249 - mmdet - INFO - Epoch [5][3000/7330] lr: 1.000e-04, eta: 8:14:32, time: 0.651, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0397, loss_cls: 0.2023, acc: 92.8027, loss_bbox: 0.2509, loss_mask: 0.2580, loss: 0.7777 2024-05-27 19:31:10,144 - mmdet - INFO - Epoch [5][3050/7330] lr: 1.000e-04, eta: 8:14:04, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0418, loss_cls: 0.2215, acc: 92.1301, loss_bbox: 0.2712, loss_mask: 0.2601, loss: 0.8246 2024-05-27 19:31:35,972 - mmdet - INFO - Epoch [5][3100/7330] lr: 1.000e-04, eta: 8:13:36, time: 0.517, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0406, loss_cls: 0.2084, acc: 92.8379, loss_bbox: 0.2510, loss_mask: 0.2518, loss: 0.7824 2024-05-27 19:32:02,322 - mmdet - INFO - Epoch [5][3150/7330] lr: 1.000e-04, eta: 8:13:09, time: 0.527, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0431, loss_cls: 0.2096, acc: 92.5811, loss_bbox: 0.2565, loss_mask: 0.2519, loss: 0.7916 2024-05-27 19:32:30,483 - mmdet - INFO - Epoch [5][3200/7330] lr: 1.000e-04, eta: 8:12:45, time: 0.564, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0411, loss_cls: 0.2041, acc: 92.7151, loss_bbox: 0.2514, loss_mask: 0.2582, loss: 0.7856 2024-05-27 19:32:58,601 - mmdet - INFO - Epoch [5][3250/7330] lr: 1.000e-04, eta: 8:12:21, time: 0.562, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0405, loss_cls: 0.2033, acc: 92.8176, loss_bbox: 0.2514, loss_mask: 0.2468, loss: 0.7686 2024-05-27 19:33:24,505 - mmdet - INFO - Epoch [5][3300/7330] lr: 1.000e-04, eta: 8:11:53, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0406, loss_cls: 0.2057, acc: 92.6611, loss_bbox: 0.2547, loss_mask: 0.2524, loss: 0.7811 2024-05-27 19:33:50,346 - mmdet - INFO - Epoch [5][3350/7330] lr: 1.000e-04, eta: 8:11:25, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0390, loss_cls: 0.1973, acc: 93.0454, loss_bbox: 0.2497, loss_mask: 0.2510, loss: 0.7645 2024-05-27 19:34:16,204 - mmdet - INFO - Epoch [5][3400/7330] lr: 1.000e-04, eta: 8:10:57, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0401, loss_cls: 0.2000, acc: 93.0090, loss_bbox: 0.2505, loss_mask: 0.2512, loss: 0.7707 2024-05-27 19:34:42,209 - mmdet - INFO - Epoch [5][3450/7330] lr: 1.000e-04, eta: 8:10:29, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0446, loss_cls: 0.2102, acc: 92.5591, loss_bbox: 0.2617, loss_mask: 0.2585, loss: 0.8052 2024-05-27 19:35:12,229 - mmdet - INFO - Epoch [5][3500/7330] lr: 1.000e-04, eta: 8:10:08, time: 0.600, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0395, loss_cls: 0.2063, acc: 92.7976, loss_bbox: 0.2536, loss_mask: 0.2589, loss: 0.7887 2024-05-27 19:35:37,961 - mmdet - INFO - Epoch [5][3550/7330] lr: 1.000e-04, eta: 8:09:40, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0396, loss_cls: 0.2016, acc: 92.8977, loss_bbox: 0.2502, loss_mask: 0.2497, loss: 0.7687 2024-05-27 19:36:04,103 - mmdet - INFO - Epoch [5][3600/7330] lr: 1.000e-04, eta: 8:09:12, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0424, loss_cls: 0.2151, acc: 92.3655, loss_bbox: 0.2617, loss_mask: 0.2530, loss: 0.8028 2024-05-27 19:36:30,211 - mmdet - INFO - Epoch [5][3650/7330] lr: 1.000e-04, eta: 8:08:44, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0439, loss_cls: 0.2081, acc: 92.5979, loss_bbox: 0.2553, loss_mask: 0.2600, loss: 0.7984 2024-05-27 19:36:55,947 - mmdet - INFO - Epoch [5][3700/7330] lr: 1.000e-04, eta: 8:08:16, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0424, loss_cls: 0.2078, acc: 92.6572, loss_bbox: 0.2567, loss_mask: 0.2540, loss: 0.7897 2024-05-27 19:37:24,197 - mmdet - INFO - Epoch [5][3750/7330] lr: 1.000e-04, eta: 8:07:52, time: 0.565, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0393, loss_cls: 0.2046, acc: 92.8091, loss_bbox: 0.2518, loss_mask: 0.2509, loss: 0.7767 2024-05-27 19:37:50,076 - mmdet - INFO - Epoch [5][3800/7330] lr: 1.000e-04, eta: 8:07:24, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0437, loss_cls: 0.2130, acc: 92.3289, loss_bbox: 0.2684, loss_mask: 0.2555, loss: 0.8086 2024-05-27 19:38:18,190 - mmdet - INFO - Epoch [5][3850/7330] lr: 1.000e-04, eta: 8:07:00, time: 0.562, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0428, loss_cls: 0.2129, acc: 92.4717, loss_bbox: 0.2672, loss_mask: 0.2597, loss: 0.8129 2024-05-27 19:38:52,991 - mmdet - INFO - Epoch [5][3900/7330] lr: 1.000e-04, eta: 8:06:47, time: 0.696, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0402, loss_cls: 0.2056, acc: 92.7954, loss_bbox: 0.2505, loss_mask: 0.2529, loss: 0.7767 2024-05-27 19:39:19,252 - mmdet - INFO - Epoch [5][3950/7330] lr: 1.000e-04, eta: 8:06:19, time: 0.525, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0420, loss_cls: 0.2123, acc: 92.4526, loss_bbox: 0.2616, loss_mask: 0.2515, loss: 0.7968 2024-05-27 19:39:45,018 - mmdet - INFO - Epoch [5][4000/7330] lr: 1.000e-04, eta: 8:05:51, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0406, loss_cls: 0.2066, acc: 92.6577, loss_bbox: 0.2546, loss_mask: 0.2471, loss: 0.7762 2024-05-27 19:40:10,967 - mmdet - INFO - Epoch [5][4050/7330] lr: 1.000e-04, eta: 8:05:23, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0408, loss_cls: 0.2131, acc: 92.4631, loss_bbox: 0.2606, loss_mask: 0.2513, loss: 0.7941 2024-05-27 19:40:39,244 - mmdet - INFO - Epoch [5][4100/7330] lr: 1.000e-04, eta: 8:04:59, time: 0.566, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0407, loss_cls: 0.2087, acc: 92.6472, loss_bbox: 0.2507, loss_mask: 0.2553, loss: 0.7833 2024-05-27 19:41:07,432 - mmdet - INFO - Epoch [5][4150/7330] lr: 1.000e-04, eta: 8:04:35, time: 0.564, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0416, loss_cls: 0.2072, acc: 92.6165, loss_bbox: 0.2586, loss_mask: 0.2602, loss: 0.7973 2024-05-27 19:41:33,798 - mmdet - INFO - Epoch [5][4200/7330] lr: 1.000e-04, eta: 8:04:08, time: 0.527, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0433, loss_cls: 0.2144, acc: 92.4761, loss_bbox: 0.2603, loss_mask: 0.2591, loss: 0.8073 2024-05-27 19:41:59,689 - mmdet - INFO - Epoch [5][4250/7330] lr: 1.000e-04, eta: 8:03:40, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0408, loss_cls: 0.1986, acc: 92.9802, loss_bbox: 0.2473, loss_mask: 0.2505, loss: 0.7637 2024-05-27 19:42:25,893 - mmdet - INFO - Epoch [5][4300/7330] lr: 1.000e-04, eta: 8:03:12, time: 0.524, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0404, loss_cls: 0.2031, acc: 92.8306, loss_bbox: 0.2513, loss_mask: 0.2527, loss: 0.7762 2024-05-27 19:42:51,906 - mmdet - INFO - Epoch [5][4350/7330] lr: 1.000e-04, eta: 8:02:45, time: 0.520, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0395, loss_cls: 0.2040, acc: 92.6431, loss_bbox: 0.2566, loss_mask: 0.2514, loss: 0.7786 2024-05-27 19:43:21,314 - mmdet - INFO - Epoch [5][4400/7330] lr: 1.000e-04, eta: 8:02:22, time: 0.588, data_time: 0.025, memory: 6051, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0421, loss_cls: 0.2098, acc: 92.5952, loss_bbox: 0.2541, loss_mask: 0.2558, loss: 0.7914 2024-05-27 19:43:47,235 - mmdet - INFO - Epoch [5][4450/7330] lr: 1.000e-04, eta: 8:01:54, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0389, loss_cls: 0.2091, acc: 92.6980, loss_bbox: 0.2570, loss_mask: 0.2534, loss: 0.7844 2024-05-27 19:44:13,320 - mmdet - INFO - Epoch [5][4500/7330] lr: 1.000e-04, eta: 8:01:27, time: 0.521, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0417, loss_cls: 0.2062, acc: 92.7915, loss_bbox: 0.2546, loss_mask: 0.2524, loss: 0.7862 2024-05-27 19:44:39,192 - mmdet - INFO - Epoch [5][4550/7330] lr: 1.000e-04, eta: 8:00:59, time: 0.518, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0430, loss_cls: 0.2064, acc: 92.6548, loss_bbox: 0.2559, loss_mask: 0.2559, loss: 0.7893 2024-05-27 19:45:05,147 - mmdet - INFO - Epoch [5][4600/7330] lr: 1.000e-04, eta: 8:00:31, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0413, loss_cls: 0.2054, acc: 92.6824, loss_bbox: 0.2512, loss_mask: 0.2568, loss: 0.7804 2024-05-27 19:45:33,345 - mmdet - INFO - Epoch [5][4650/7330] lr: 1.000e-04, eta: 8:00:07, time: 0.564, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0425, loss_cls: 0.2107, acc: 92.5212, loss_bbox: 0.2560, loss_mask: 0.2559, loss: 0.7963 2024-05-27 19:45:59,445 - mmdet - INFO - Epoch [5][4700/7330] lr: 1.000e-04, eta: 7:59:39, time: 0.522, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0436, loss_cls: 0.2118, acc: 92.4963, loss_bbox: 0.2601, loss_mask: 0.2555, loss: 0.8019 2024-05-27 19:46:27,893 - mmdet - INFO - Epoch [5][4750/7330] lr: 1.000e-04, eta: 7:59:15, time: 0.569, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0427, loss_cls: 0.2087, acc: 92.5640, loss_bbox: 0.2565, loss_mask: 0.2517, loss: 0.7908 2024-05-27 19:47:01,164 - mmdet - INFO - Epoch [5][4800/7330] lr: 1.000e-04, eta: 7:58:59, time: 0.665, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0432, loss_cls: 0.2082, acc: 92.5593, loss_bbox: 0.2534, loss_mask: 0.2591, loss: 0.7963 2024-05-27 19:47:27,033 - mmdet - INFO - Epoch [5][4850/7330] lr: 1.000e-04, eta: 7:58:31, time: 0.517, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0401, loss_cls: 0.2058, acc: 92.7300, loss_bbox: 0.2528, loss_mask: 0.2550, loss: 0.7816 2024-05-27 19:47:53,116 - mmdet - INFO - Epoch [5][4900/7330] lr: 1.000e-04, eta: 7:58:03, time: 0.521, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0457, loss_cls: 0.2188, acc: 92.1438, loss_bbox: 0.2726, loss_mask: 0.2625, loss: 0.8292 2024-05-27 19:48:19,060 - mmdet - INFO - Epoch [5][4950/7330] lr: 1.000e-04, eta: 7:57:36, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0418, loss_cls: 0.2033, acc: 92.5898, loss_bbox: 0.2544, loss_mask: 0.2507, loss: 0.7785 2024-05-27 19:48:47,402 - mmdet - INFO - Epoch [5][5000/7330] lr: 1.000e-04, eta: 7:57:11, time: 0.567, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0430, loss_cls: 0.2095, acc: 92.6980, loss_bbox: 0.2590, loss_mask: 0.2532, loss: 0.7935 2024-05-27 19:49:15,460 - mmdet - INFO - Epoch [5][5050/7330] lr: 1.000e-04, eta: 7:56:47, time: 0.561, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0407, loss_cls: 0.2043, acc: 92.6794, loss_bbox: 0.2561, loss_mask: 0.2536, loss: 0.7832 2024-05-27 19:49:41,277 - mmdet - INFO - Epoch [5][5100/7330] lr: 1.000e-04, eta: 7:56:19, time: 0.516, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0410, loss_cls: 0.2048, acc: 92.7375, loss_bbox: 0.2467, loss_mask: 0.2498, loss: 0.7714 2024-05-27 19:50:07,353 - mmdet - INFO - Epoch [5][5150/7330] lr: 1.000e-04, eta: 7:55:51, time: 0.521, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0420, loss_cls: 0.2156, acc: 92.2131, loss_bbox: 0.2690, loss_mask: 0.2583, loss: 0.8148 2024-05-27 19:50:33,070 - mmdet - INFO - Epoch [5][5200/7330] lr: 1.000e-04, eta: 7:55:23, time: 0.514, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0397, loss_cls: 0.2061, acc: 92.7058, loss_bbox: 0.2508, loss_mask: 0.2506, loss: 0.7752 2024-05-27 19:50:58,941 - mmdet - INFO - Epoch [5][5250/7330] lr: 1.000e-04, eta: 7:54:55, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0391, loss_cls: 0.1967, acc: 93.1272, loss_bbox: 0.2432, loss_mask: 0.2513, loss: 0.7583 2024-05-27 19:51:27,664 - mmdet - INFO - Epoch [5][5300/7330] lr: 1.000e-04, eta: 7:54:32, time: 0.574, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0376, loss_cls: 0.2016, acc: 93.0029, loss_bbox: 0.2432, loss_mask: 0.2523, loss: 0.7622 2024-05-27 19:51:53,469 - mmdet - INFO - Epoch [5][5350/7330] lr: 1.000e-04, eta: 7:54:03, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0402, loss_cls: 0.2002, acc: 92.9097, loss_bbox: 0.2462, loss_mask: 0.2443, loss: 0.7609 2024-05-27 19:52:19,449 - mmdet - INFO - Epoch [5][5400/7330] lr: 1.000e-04, eta: 7:53:36, time: 0.520, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0405, loss_cls: 0.2036, acc: 92.8027, loss_bbox: 0.2525, loss_mask: 0.2594, loss: 0.7851 2024-05-27 19:52:45,156 - mmdet - INFO - Epoch [5][5450/7330] lr: 1.000e-04, eta: 7:53:08, time: 0.514, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0394, loss_cls: 0.1942, acc: 93.2944, loss_bbox: 0.2366, loss_mask: 0.2472, loss: 0.7453 2024-05-27 19:53:11,249 - mmdet - INFO - Epoch [5][5500/7330] lr: 1.000e-04, eta: 7:52:40, time: 0.522, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0415, loss_cls: 0.2100, acc: 92.4077, loss_bbox: 0.2596, loss_mask: 0.2504, loss: 0.7907 2024-05-27 19:53:39,546 - mmdet - INFO - Epoch [5][5550/7330] lr: 1.000e-04, eta: 7:52:16, time: 0.566, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0379, loss_cls: 0.1999, acc: 92.9822, loss_bbox: 0.2426, loss_mask: 0.2441, loss: 0.7504 2024-05-27 19:54:05,529 - mmdet - INFO - Epoch [5][5600/7330] lr: 1.000e-04, eta: 7:51:48, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0405, loss_cls: 0.2123, acc: 92.3923, loss_bbox: 0.2671, loss_mask: 0.2550, loss: 0.8017 2024-05-27 19:54:33,981 - mmdet - INFO - Epoch [5][5650/7330] lr: 1.000e-04, eta: 7:51:24, time: 0.569, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0408, loss_cls: 0.2073, acc: 92.6348, loss_bbox: 0.2546, loss_mask: 0.2548, loss: 0.7864 2024-05-27 19:55:06,654 - mmdet - INFO - Epoch [5][5700/7330] lr: 1.000e-04, eta: 7:51:06, time: 0.653, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0424, loss_cls: 0.2165, acc: 92.3816, loss_bbox: 0.2587, loss_mask: 0.2530, loss: 0.7994 2024-05-27 19:55:32,429 - mmdet - INFO - Epoch [5][5750/7330] lr: 1.000e-04, eta: 7:50:38, time: 0.515, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0427, loss_cls: 0.2061, acc: 92.6641, loss_bbox: 0.2527, loss_mask: 0.2561, loss: 0.7873 2024-05-27 19:55:58,151 - mmdet - INFO - Epoch [5][5800/7330] lr: 1.000e-04, eta: 7:50:10, time: 0.514, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0447, loss_cls: 0.2124, acc: 92.5378, loss_bbox: 0.2591, loss_mask: 0.2553, loss: 0.8025 2024-05-27 19:56:30,478 - mmdet - INFO - Epoch [5][5850/7330] lr: 1.000e-04, eta: 7:49:52, time: 0.647, data_time: 0.145, memory: 6051, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0418, loss_cls: 0.2086, acc: 92.5481, loss_bbox: 0.2620, loss_mask: 0.2544, loss: 0.7955 2024-05-27 19:56:58,894 - mmdet - INFO - Epoch [5][5900/7330] lr: 1.000e-04, eta: 7:49:28, time: 0.568, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0433, loss_cls: 0.2172, acc: 92.2717, loss_bbox: 0.2708, loss_mask: 0.2632, loss: 0.8228 2024-05-27 19:57:26,792 - mmdet - INFO - Epoch [5][5950/7330] lr: 1.000e-04, eta: 7:49:03, time: 0.558, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0418, loss_cls: 0.2126, acc: 92.6331, loss_bbox: 0.2530, loss_mask: 0.2517, loss: 0.7880 2024-05-27 19:57:52,808 - mmdet - INFO - Epoch [5][6000/7330] lr: 1.000e-04, eta: 7:48:35, time: 0.520, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0423, loss_cls: 0.2152, acc: 92.3765, loss_bbox: 0.2654, loss_mask: 0.2601, loss: 0.8133 2024-05-27 19:58:18,832 - mmdet - INFO - Epoch [5][6050/7330] lr: 1.000e-04, eta: 7:48:07, time: 0.520, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0429, loss_cls: 0.2097, acc: 92.5024, loss_bbox: 0.2644, loss_mask: 0.2560, loss: 0.8015 2024-05-27 19:58:44,810 - mmdet - INFO - Epoch [5][6100/7330] lr: 1.000e-04, eta: 7:47:40, time: 0.520, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0419, loss_cls: 0.2072, acc: 92.5659, loss_bbox: 0.2617, loss_mask: 0.2541, loss: 0.7926 2024-05-27 19:59:10,733 - mmdet - INFO - Epoch [5][6150/7330] lr: 1.000e-04, eta: 7:47:12, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0399, loss_cls: 0.2040, acc: 92.7815, loss_bbox: 0.2529, loss_mask: 0.2532, loss: 0.7776 2024-05-27 19:59:39,893 - mmdet - INFO - Epoch [5][6200/7330] lr: 1.000e-04, eta: 7:46:49, time: 0.583, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0427, loss_cls: 0.2093, acc: 92.6404, loss_bbox: 0.2544, loss_mask: 0.2542, loss: 0.7906 2024-05-27 20:00:05,930 - mmdet - INFO - Epoch [5][6250/7330] lr: 1.000e-04, eta: 7:46:21, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0414, loss_cls: 0.2106, acc: 92.6216, loss_bbox: 0.2588, loss_mask: 0.2556, loss: 0.7964 2024-05-27 20:00:31,946 - mmdet - INFO - Epoch [5][6300/7330] lr: 1.000e-04, eta: 7:45:53, time: 0.520, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0440, loss_cls: 0.2198, acc: 92.2490, loss_bbox: 0.2624, loss_mask: 0.2544, loss: 0.8124 2024-05-27 20:00:58,032 - mmdet - INFO - Epoch [5][6350/7330] lr: 1.000e-04, eta: 7:45:26, time: 0.522, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0412, loss_cls: 0.2127, acc: 92.3474, loss_bbox: 0.2601, loss_mask: 0.2620, loss: 0.8051 2024-05-27 20:01:23,957 - mmdet - INFO - Epoch [5][6400/7330] lr: 1.000e-04, eta: 7:44:58, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0423, loss_cls: 0.2053, acc: 92.6689, loss_bbox: 0.2555, loss_mask: 0.2568, loss: 0.7895 2024-05-27 20:01:52,338 - mmdet - INFO - Epoch [5][6450/7330] lr: 1.000e-04, eta: 7:44:33, time: 0.568, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0425, loss_cls: 0.2111, acc: 92.4644, loss_bbox: 0.2630, loss_mask: 0.2534, loss: 0.8002 2024-05-27 20:02:18,231 - mmdet - INFO - Epoch [5][6500/7330] lr: 1.000e-04, eta: 7:44:06, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0419, loss_cls: 0.2081, acc: 92.6873, loss_bbox: 0.2519, loss_mask: 0.2536, loss: 0.7844 2024-05-27 20:02:46,212 - mmdet - INFO - Epoch [5][6550/7330] lr: 1.000e-04, eta: 7:43:41, time: 0.560, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0383, loss_cls: 0.1942, acc: 93.2737, loss_bbox: 0.2397, loss_mask: 0.2503, loss: 0.7530 2024-05-27 20:03:20,178 - mmdet - INFO - Epoch [5][6600/7330] lr: 1.000e-04, eta: 7:43:25, time: 0.679, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0391, loss_cls: 0.1963, acc: 93.0791, loss_bbox: 0.2390, loss_mask: 0.2481, loss: 0.7495 2024-05-27 20:03:46,122 - mmdet - INFO - Epoch [5][6650/7330] lr: 1.000e-04, eta: 7:42:57, time: 0.519, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0430, loss_cls: 0.2068, acc: 92.6760, loss_bbox: 0.2584, loss_mask: 0.2574, loss: 0.7953 2024-05-27 20:04:12,001 - mmdet - INFO - Epoch [5][6700/7330] lr: 1.000e-04, eta: 7:42:29, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0382, loss_cls: 0.1975, acc: 93.1929, loss_bbox: 0.2404, loss_mask: 0.2501, loss: 0.7531 2024-05-27 20:04:38,033 - mmdet - INFO - Epoch [5][6750/7330] lr: 1.000e-04, eta: 7:42:01, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0417, loss_cls: 0.2007, acc: 92.8533, loss_bbox: 0.2468, loss_mask: 0.2524, loss: 0.7714 2024-05-27 20:05:06,459 - mmdet - INFO - Epoch [5][6800/7330] lr: 1.000e-04, eta: 7:41:37, time: 0.568, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0424, loss_cls: 0.2118, acc: 92.4954, loss_bbox: 0.2595, loss_mask: 0.2531, loss: 0.7955 2024-05-27 20:05:34,513 - mmdet - INFO - Epoch [5][6850/7330] lr: 1.000e-04, eta: 7:41:12, time: 0.561, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0415, loss_cls: 0.2128, acc: 92.4819, loss_bbox: 0.2611, loss_mask: 0.2548, loss: 0.7986 2024-05-27 20:06:00,611 - mmdet - INFO - Epoch [5][6900/7330] lr: 1.000e-04, eta: 7:40:44, time: 0.522, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0408, loss_cls: 0.2023, acc: 92.8115, loss_bbox: 0.2489, loss_mask: 0.2500, loss: 0.7694 2024-05-27 20:06:26,422 - mmdet - INFO - Epoch [5][6950/7330] lr: 1.000e-04, eta: 7:40:16, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0415, loss_cls: 0.2154, acc: 92.3855, loss_bbox: 0.2595, loss_mask: 0.2534, loss: 0.8028 2024-05-27 20:06:52,202 - mmdet - INFO - Epoch [5][7000/7330] lr: 1.000e-04, eta: 7:39:48, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0436, loss_cls: 0.2099, acc: 92.5503, loss_bbox: 0.2558, loss_mask: 0.2498, loss: 0.7900 2024-05-27 20:07:18,233 - mmdet - INFO - Epoch [5][7050/7330] lr: 1.000e-04, eta: 7:39:21, time: 0.521, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0443, loss_cls: 0.2192, acc: 92.1912, loss_bbox: 0.2705, loss_mask: 0.2539, loss: 0.8186 2024-05-27 20:07:46,746 - mmdet - INFO - Epoch [5][7100/7330] lr: 1.000e-04, eta: 7:38:57, time: 0.570, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0395, loss_cls: 0.2060, acc: 92.7249, loss_bbox: 0.2556, loss_mask: 0.2518, loss: 0.7805 2024-05-27 20:08:12,685 - mmdet - INFO - Epoch [5][7150/7330] lr: 1.000e-04, eta: 7:38:29, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0433, loss_cls: 0.2180, acc: 92.2534, loss_bbox: 0.2646, loss_mask: 0.2678, loss: 0.8243 2024-05-27 20:08:38,699 - mmdet - INFO - Epoch [5][7200/7330] lr: 1.000e-04, eta: 7:38:01, time: 0.520, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0422, loss_cls: 0.2089, acc: 92.8140, loss_bbox: 0.2539, loss_mask: 0.2556, loss: 0.7916 2024-05-27 20:09:04,648 - mmdet - INFO - Epoch [5][7250/7330] lr: 1.000e-04, eta: 7:37:33, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0420, loss_cls: 0.2076, acc: 92.6255, loss_bbox: 0.2560, loss_mask: 0.2497, loss: 0.7829 2024-05-27 20:09:30,405 - mmdet - INFO - Epoch [5][7300/7330] lr: 1.000e-04, eta: 7:37:05, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0394, loss_cls: 0.1995, acc: 92.8999, loss_bbox: 0.2497, loss_mask: 0.2489, loss: 0.7640 2024-05-27 20:09:48,753 - mmdet - INFO - Saving checkpoint at 5 epochs 2024-05-27 20:11:29,474 - mmdet - INFO - Evaluating bbox... 2024-05-27 20:11:54,580 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.385 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.611 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.415 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.199 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.424 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.555 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.507 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.507 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.507 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.288 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.559 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.686 2024-05-27 20:11:54,580 - mmdet - INFO - Evaluating segm... 2024-05-27 20:12:22,440 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.348 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.575 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.363 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.136 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.379 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.568 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.456 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.456 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.456 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.225 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.506 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.663 2024-05-27 20:12:22,784 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 20:12:22,786 - mmdet - INFO - Epoch(val) [5][625] bbox_mAP: 0.3850, bbox_mAP_50: 0.6110, bbox_mAP_75: 0.4150, bbox_mAP_s: 0.1990, bbox_mAP_m: 0.4240, bbox_mAP_l: 0.5550, bbox_mAP_copypaste: 0.385 0.611 0.415 0.199 0.424 0.555, segm_mAP: 0.3480, segm_mAP_50: 0.5750, segm_mAP_75: 0.3630, segm_mAP_s: 0.1360, segm_mAP_m: 0.3790, segm_mAP_l: 0.5680, segm_mAP_copypaste: 0.348 0.575 0.363 0.136 0.379 0.568 2024-05-27 20:13:00,944 - mmdet - INFO - Epoch [6][50/7330] lr: 1.000e-04, eta: 7:36:16, time: 0.763, data_time: 0.083, memory: 6051, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0432, loss_cls: 0.2025, acc: 92.7478, loss_bbox: 0.2536, loss_mask: 0.2494, loss: 0.7768 2024-05-27 20:13:26,884 - mmdet - INFO - Epoch [6][100/7330] lr: 1.000e-04, eta: 7:35:48, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0393, loss_cls: 0.1948, acc: 92.9580, loss_bbox: 0.2493, loss_mask: 0.2386, loss: 0.7484 2024-05-27 20:13:54,643 - mmdet - INFO - Epoch [6][150/7330] lr: 1.000e-04, eta: 7:35:23, time: 0.555, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0394, loss_cls: 0.1944, acc: 92.9263, loss_bbox: 0.2529, loss_mask: 0.2475, loss: 0.7601 2024-05-27 20:14:22,948 - mmdet - INFO - Epoch [6][200/7330] lr: 1.000e-04, eta: 7:34:59, time: 0.566, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0401, loss_cls: 0.1919, acc: 93.0107, loss_bbox: 0.2523, loss_mask: 0.2514, loss: 0.7612 2024-05-27 20:14:48,384 - mmdet - INFO - Epoch [6][250/7330] lr: 1.000e-04, eta: 7:34:30, time: 0.509, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0368, loss_cls: 0.1850, acc: 93.3081, loss_bbox: 0.2375, loss_mask: 0.2386, loss: 0.7227 2024-05-27 20:15:14,281 - mmdet - INFO - Epoch [6][300/7330] lr: 1.000e-04, eta: 7:34:02, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0413, loss_cls: 0.1973, acc: 92.8647, loss_bbox: 0.2513, loss_mask: 0.2475, loss: 0.7642 2024-05-27 20:15:42,273 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 20:15:42,273 - mmdet - INFO - Epoch [6][350/7330] lr: 1.000e-04, eta: 7:33:37, time: 0.560, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0394, loss_cls: 0.1955, acc: 92.9385, loss_bbox: 0.2466, loss_mask: 0.2455, loss: 0.7524 2024-05-27 20:16:07,641 - mmdet - INFO - Epoch [6][400/7330] lr: 1.000e-04, eta: 7:33:09, time: 0.507, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0404, loss_cls: 0.1896, acc: 93.0720, loss_bbox: 0.2468, loss_mask: 0.2475, loss: 0.7499 2024-05-27 20:16:33,618 - mmdet - INFO - Epoch [6][450/7330] lr: 1.000e-04, eta: 7:32:41, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0417, loss_cls: 0.2026, acc: 92.7285, loss_bbox: 0.2543, loss_mask: 0.2502, loss: 0.7755 2024-05-27 20:16:59,297 - mmdet - INFO - Epoch [6][500/7330] lr: 1.000e-04, eta: 7:32:13, time: 0.514, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0419, loss_cls: 0.2046, acc: 92.6165, loss_bbox: 0.2563, loss_mask: 0.2519, loss: 0.7835 2024-05-27 20:17:24,973 - mmdet - INFO - Epoch [6][550/7330] lr: 1.000e-04, eta: 7:31:45, time: 0.513, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0405, loss_cls: 0.1961, acc: 92.8792, loss_bbox: 0.2473, loss_mask: 0.2510, loss: 0.7599 2024-05-27 20:17:50,478 - mmdet - INFO - Epoch [6][600/7330] lr: 1.000e-04, eta: 7:31:17, time: 0.510, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0400, loss_cls: 0.1932, acc: 93.0249, loss_bbox: 0.2482, loss_mask: 0.2463, loss: 0.7534 2024-05-27 20:18:19,052 - mmdet - INFO - Epoch [6][650/7330] lr: 1.000e-04, eta: 7:30:52, time: 0.572, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0419, loss_cls: 0.1993, acc: 92.7856, loss_bbox: 0.2543, loss_mask: 0.2484, loss: 0.7715 2024-05-27 20:18:45,084 - mmdet - INFO - Epoch [6][700/7330] lr: 1.000e-04, eta: 7:30:25, time: 0.521, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0406, loss_cls: 0.2006, acc: 92.8071, loss_bbox: 0.2541, loss_mask: 0.2475, loss: 0.7689 2024-05-27 20:19:10,841 - mmdet - INFO - Epoch [6][750/7330] lr: 1.000e-04, eta: 7:29:57, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0399, loss_cls: 0.1961, acc: 92.9338, loss_bbox: 0.2460, loss_mask: 0.2407, loss: 0.7490 2024-05-27 20:19:36,458 - mmdet - INFO - Epoch [6][800/7330] lr: 1.000e-04, eta: 7:29:29, time: 0.512, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0391, loss_cls: 0.1930, acc: 93.0710, loss_bbox: 0.2429, loss_mask: 0.2461, loss: 0.7462 2024-05-27 20:20:02,683 - mmdet - INFO - Epoch [6][850/7330] lr: 1.000e-04, eta: 7:29:01, time: 0.525, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0431, loss_cls: 0.2006, acc: 92.7068, loss_bbox: 0.2579, loss_mask: 0.2497, loss: 0.7801 2024-05-27 20:20:28,665 - mmdet - INFO - Epoch [6][900/7330] lr: 1.000e-04, eta: 7:28:34, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0376, loss_cls: 0.1890, acc: 93.0483, loss_bbox: 0.2468, loss_mask: 0.2451, loss: 0.7441 2024-05-27 20:20:56,561 - mmdet - INFO - Epoch [6][950/7330] lr: 1.000e-04, eta: 7:28:09, time: 0.558, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0381, loss_cls: 0.1947, acc: 92.9436, loss_bbox: 0.2503, loss_mask: 0.2478, loss: 0.7556 2024-05-27 20:21:29,588 - mmdet - INFO - Epoch [6][1000/7330] lr: 1.000e-04, eta: 7:27:50, time: 0.660, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0411, loss_cls: 0.2065, acc: 92.5278, loss_bbox: 0.2627, loss_mask: 0.2546, loss: 0.7911 2024-05-27 20:21:58,404 - mmdet - INFO - Epoch [6][1050/7330] lr: 1.000e-04, eta: 7:27:26, time: 0.576, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0410, loss_cls: 0.2065, acc: 92.6082, loss_bbox: 0.2588, loss_mask: 0.2504, loss: 0.7826 2024-05-27 20:22:24,296 - mmdet - INFO - Epoch [6][1100/7330] lr: 1.000e-04, eta: 7:26:59, time: 0.518, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0371, loss_cls: 0.1919, acc: 93.1316, loss_bbox: 0.2428, loss_mask: 0.2410, loss: 0.7365 2024-05-27 20:22:49,945 - mmdet - INFO - Epoch [6][1150/7330] lr: 1.000e-04, eta: 7:26:31, time: 0.513, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0417, loss_cls: 0.2018, acc: 92.8574, loss_bbox: 0.2509, loss_mask: 0.2482, loss: 0.7682 2024-05-27 20:23:15,750 - mmdet - INFO - Epoch [6][1200/7330] lr: 1.000e-04, eta: 7:26:03, time: 0.516, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0402, loss_cls: 0.1961, acc: 92.9858, loss_bbox: 0.2437, loss_mask: 0.2460, loss: 0.7508 2024-05-27 20:23:45,833 - mmdet - INFO - Epoch [6][1250/7330] lr: 1.000e-04, eta: 7:25:40, time: 0.602, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0393, loss_cls: 0.2000, acc: 92.7666, loss_bbox: 0.2516, loss_mask: 0.2552, loss: 0.7707 2024-05-27 20:24:11,642 - mmdet - INFO - Epoch [6][1300/7330] lr: 1.000e-04, eta: 7:25:13, time: 0.516, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0382, loss_cls: 0.1887, acc: 93.2612, loss_bbox: 0.2446, loss_mask: 0.2490, loss: 0.7470 2024-05-27 20:24:37,642 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 20:24:37,643 - mmdet - INFO - Epoch [6][1350/7330] lr: 1.000e-04, eta: 7:24:45, time: 0.520, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0409, loss_cls: 0.2035, acc: 92.7065, loss_bbox: 0.2490, loss_mask: 0.2529, loss: 0.7727 2024-05-27 20:25:03,524 - mmdet - INFO - Epoch [6][1400/7330] lr: 1.000e-04, eta: 7:24:17, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0413, loss_cls: 0.2024, acc: 92.7898, loss_bbox: 0.2524, loss_mask: 0.2510, loss: 0.7741 2024-05-27 20:25:29,396 - mmdet - INFO - Epoch [6][1450/7330] lr: 1.000e-04, eta: 7:23:49, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0393, loss_cls: 0.1993, acc: 92.9392, loss_bbox: 0.2493, loss_mask: 0.2455, loss: 0.7590 2024-05-27 20:25:55,262 - mmdet - INFO - Epoch [6][1500/7330] lr: 1.000e-04, eta: 7:23:22, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0421, loss_cls: 0.1981, acc: 92.8396, loss_bbox: 0.2556, loss_mask: 0.2483, loss: 0.7711 2024-05-27 20:26:23,619 - mmdet - INFO - Epoch [6][1550/7330] lr: 1.000e-04, eta: 7:22:57, time: 0.567, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0406, loss_cls: 0.2105, acc: 92.5107, loss_bbox: 0.2559, loss_mask: 0.2505, loss: 0.7831 2024-05-27 20:26:49,596 - mmdet - INFO - Epoch [6][1600/7330] lr: 1.000e-04, eta: 7:22:29, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0405, loss_cls: 0.1984, acc: 92.8240, loss_bbox: 0.2484, loss_mask: 0.2480, loss: 0.7622 2024-05-27 20:27:15,482 - mmdet - INFO - Epoch [6][1650/7330] lr: 1.000e-04, eta: 7:22:02, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0399, loss_cls: 0.1938, acc: 92.9507, loss_bbox: 0.2470, loss_mask: 0.2436, loss: 0.7509 2024-05-27 20:27:41,583 - mmdet - INFO - Epoch [6][1700/7330] lr: 1.000e-04, eta: 7:21:34, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0415, loss_cls: 0.2017, acc: 92.8269, loss_bbox: 0.2525, loss_mask: 0.2511, loss: 0.7751 2024-05-27 20:28:07,668 - mmdet - INFO - Epoch [6][1750/7330] lr: 1.000e-04, eta: 7:21:07, time: 0.522, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0412, loss_cls: 0.2052, acc: 92.6284, loss_bbox: 0.2588, loss_mask: 0.2515, loss: 0.7849 2024-05-27 20:28:33,604 - mmdet - INFO - Epoch [6][1800/7330] lr: 1.000e-04, eta: 7:20:39, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0400, loss_cls: 0.1980, acc: 92.9866, loss_bbox: 0.2494, loss_mask: 0.2475, loss: 0.7617 2024-05-27 20:29:04,653 - mmdet - INFO - Epoch [6][1850/7330] lr: 1.000e-04, eta: 7:20:18, time: 0.621, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0417, loss_cls: 0.2062, acc: 92.7424, loss_bbox: 0.2566, loss_mask: 0.2518, loss: 0.7849 2024-05-27 20:29:37,391 - mmdet - INFO - Epoch [6][1900/7330] lr: 1.000e-04, eta: 7:19:59, time: 0.655, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0402, loss_cls: 0.2001, acc: 92.9180, loss_bbox: 0.2436, loss_mask: 0.2537, loss: 0.7620 2024-05-27 20:30:06,518 - mmdet - INFO - Epoch [6][1950/7330] lr: 1.000e-04, eta: 7:19:35, time: 0.583, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0400, loss_cls: 0.2084, acc: 92.4749, loss_bbox: 0.2598, loss_mask: 0.2543, loss: 0.7891 2024-05-27 20:30:32,538 - mmdet - INFO - Epoch [6][2000/7330] lr: 1.000e-04, eta: 7:19:08, time: 0.520, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0410, loss_cls: 0.2016, acc: 92.8784, loss_bbox: 0.2470, loss_mask: 0.2505, loss: 0.7683 2024-05-27 20:30:58,334 - mmdet - INFO - Epoch [6][2050/7330] lr: 1.000e-04, eta: 7:18:40, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0407, loss_cls: 0.1962, acc: 92.9258, loss_bbox: 0.2492, loss_mask: 0.2485, loss: 0.7606 2024-05-27 20:31:24,353 - mmdet - INFO - Epoch [6][2100/7330] lr: 1.000e-04, eta: 7:18:12, time: 0.520, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0395, loss_cls: 0.1945, acc: 93.0803, loss_bbox: 0.2419, loss_mask: 0.2450, loss: 0.7460 2024-05-27 20:31:54,595 - mmdet - INFO - Epoch [6][2150/7330] lr: 1.000e-04, eta: 7:17:50, time: 0.605, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0380, loss_cls: 0.2025, acc: 92.8389, loss_bbox: 0.2456, loss_mask: 0.2467, loss: 0.7581 2024-05-27 20:32:20,538 - mmdet - INFO - Epoch [6][2200/7330] lr: 1.000e-04, eta: 7:17:22, time: 0.519, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0386, loss_cls: 0.1954, acc: 92.9810, loss_bbox: 0.2461, loss_mask: 0.2477, loss: 0.7545 2024-05-27 20:32:46,529 - mmdet - INFO - Epoch [6][2250/7330] lr: 1.000e-04, eta: 7:16:54, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0393, loss_cls: 0.1985, acc: 92.9297, loss_bbox: 0.2474, loss_mask: 0.2479, loss: 0.7617 2024-05-27 20:33:12,453 - mmdet - INFO - Epoch [6][2300/7330] lr: 1.000e-04, eta: 7:16:27, time: 0.518, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0405, loss_cls: 0.1983, acc: 92.8989, loss_bbox: 0.2495, loss_mask: 0.2452, loss: 0.7579 2024-05-27 20:33:38,313 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 20:33:38,313 - mmdet - INFO - Epoch [6][2350/7330] lr: 1.000e-04, eta: 7:15:59, time: 0.517, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0407, loss_cls: 0.1971, acc: 92.9756, loss_bbox: 0.2507, loss_mask: 0.2511, loss: 0.7668 2024-05-27 20:34:04,309 - mmdet - INFO - Epoch [6][2400/7330] lr: 1.000e-04, eta: 7:15:31, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0421, loss_cls: 0.2013, acc: 92.7551, loss_bbox: 0.2582, loss_mask: 0.2545, loss: 0.7829 2024-05-27 20:34:34,449 - mmdet - INFO - Epoch [6][2450/7330] lr: 1.000e-04, eta: 7:15:09, time: 0.603, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0444, loss_cls: 0.2077, acc: 92.5430, loss_bbox: 0.2562, loss_mask: 0.2507, loss: 0.7878 2024-05-27 20:35:00,424 - mmdet - INFO - Epoch [6][2500/7330] lr: 1.000e-04, eta: 7:14:41, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0401, loss_cls: 0.1968, acc: 93.0442, loss_bbox: 0.2440, loss_mask: 0.2429, loss: 0.7515 2024-05-27 20:35:26,636 - mmdet - INFO - Epoch [6][2550/7330] lr: 1.000e-04, eta: 7:14:14, time: 0.524, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0397, loss_cls: 0.1968, acc: 92.8782, loss_bbox: 0.2487, loss_mask: 0.2432, loss: 0.7543 2024-05-27 20:35:52,665 - mmdet - INFO - Epoch [6][2600/7330] lr: 1.000e-04, eta: 7:13:46, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0395, loss_cls: 0.1990, acc: 92.7866, loss_bbox: 0.2547, loss_mask: 0.2496, loss: 0.7683 2024-05-27 20:36:18,790 - mmdet - INFO - Epoch [6][2650/7330] lr: 1.000e-04, eta: 7:13:19, time: 0.522, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0383, loss_cls: 0.2001, acc: 92.7515, loss_bbox: 0.2528, loss_mask: 0.2474, loss: 0.7647 2024-05-27 20:36:44,893 - mmdet - INFO - Epoch [6][2700/7330] lr: 1.000e-04, eta: 7:12:51, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0425, loss_cls: 0.2075, acc: 92.7903, loss_bbox: 0.2484, loss_mask: 0.2496, loss: 0.7743 2024-05-27 20:37:15,782 - mmdet - INFO - Epoch [6][2750/7330] lr: 1.000e-04, eta: 7:12:30, time: 0.618, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0383, loss_cls: 0.1919, acc: 93.1936, loss_bbox: 0.2414, loss_mask: 0.2444, loss: 0.7433 2024-05-27 20:37:47,649 - mmdet - INFO - Epoch [6][2800/7330] lr: 1.000e-04, eta: 7:12:09, time: 0.637, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0410, loss_cls: 0.1950, acc: 93.1289, loss_bbox: 0.2440, loss_mask: 0.2482, loss: 0.7547 2024-05-27 20:38:15,737 - mmdet - INFO - Epoch [6][2850/7330] lr: 1.000e-04, eta: 7:11:44, time: 0.562, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0399, loss_cls: 0.1990, acc: 92.9866, loss_bbox: 0.2426, loss_mask: 0.2542, loss: 0.7654 2024-05-27 20:38:41,867 - mmdet - INFO - Epoch [6][2900/7330] lr: 1.000e-04, eta: 7:11:17, time: 0.523, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0384, loss_cls: 0.1914, acc: 93.1860, loss_bbox: 0.2441, loss_mask: 0.2454, loss: 0.7437 2024-05-27 20:39:08,008 - mmdet - INFO - Epoch [6][2950/7330] lr: 1.000e-04, eta: 7:10:50, time: 0.523, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0429, loss_cls: 0.2012, acc: 92.5996, loss_bbox: 0.2621, loss_mask: 0.2504, loss: 0.7824 2024-05-27 20:39:37,442 - mmdet - INFO - Epoch [6][3000/7330] lr: 1.000e-04, eta: 7:10:26, time: 0.588, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0406, loss_cls: 0.2052, acc: 92.6494, loss_bbox: 0.2589, loss_mask: 0.2551, loss: 0.7861 2024-05-27 20:40:06,119 - mmdet - INFO - Epoch [6][3050/7330] lr: 1.000e-04, eta: 7:10:02, time: 0.574, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0401, loss_cls: 0.2023, acc: 92.7009, loss_bbox: 0.2533, loss_mask: 0.2515, loss: 0.7747 2024-05-27 20:40:32,056 - mmdet - INFO - Epoch [6][3100/7330] lr: 1.000e-04, eta: 7:09:34, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0400, loss_cls: 0.1926, acc: 92.9802, loss_bbox: 0.2459, loss_mask: 0.2521, loss: 0.7557 2024-05-27 20:40:57,936 - mmdet - INFO - Epoch [6][3150/7330] lr: 1.000e-04, eta: 7:09:06, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0397, loss_cls: 0.1894, acc: 93.1365, loss_bbox: 0.2421, loss_mask: 0.2508, loss: 0.7500 2024-05-27 20:41:24,019 - mmdet - INFO - Epoch [6][3200/7330] lr: 1.000e-04, eta: 7:08:39, time: 0.522, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0400, loss_cls: 0.2001, acc: 92.8779, loss_bbox: 0.2489, loss_mask: 0.2468, loss: 0.7601 2024-05-27 20:41:50,046 - mmdet - INFO - Epoch [6][3250/7330] lr: 1.000e-04, eta: 7:08:11, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0411, loss_cls: 0.2021, acc: 92.8657, loss_bbox: 0.2471, loss_mask: 0.2524, loss: 0.7700 2024-05-27 20:42:15,775 - mmdet - INFO - Epoch [6][3300/7330] lr: 1.000e-04, eta: 7:07:43, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0384, loss_cls: 0.1940, acc: 93.1252, loss_bbox: 0.2412, loss_mask: 0.2444, loss: 0.7425 2024-05-27 20:42:44,571 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 20:42:44,571 - mmdet - INFO - Epoch [6][3350/7330] lr: 1.000e-04, eta: 7:07:19, time: 0.576, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0356, loss_cls: 0.1999, acc: 92.9353, loss_bbox: 0.2434, loss_mask: 0.2448, loss: 0.7477 2024-05-27 20:43:10,611 - mmdet - INFO - Epoch [6][3400/7330] lr: 1.000e-04, eta: 7:06:51, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0394, loss_cls: 0.2029, acc: 92.7703, loss_bbox: 0.2506, loss_mask: 0.2523, loss: 0.7721 2024-05-27 20:43:36,552 - mmdet - INFO - Epoch [6][3450/7330] lr: 1.000e-04, eta: 7:06:24, time: 0.519, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0430, loss_cls: 0.2084, acc: 92.5811, loss_bbox: 0.2533, loss_mask: 0.2512, loss: 0.7833 2024-05-27 20:44:02,432 - mmdet - INFO - Epoch [6][3500/7330] lr: 1.000e-04, eta: 7:05:56, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0403, loss_cls: 0.1933, acc: 93.0215, loss_bbox: 0.2422, loss_mask: 0.2454, loss: 0.7475 2024-05-27 20:44:28,695 - mmdet - INFO - Epoch [6][3550/7330] lr: 1.000e-04, eta: 7:05:29, time: 0.525, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0403, loss_cls: 0.1935, acc: 93.0835, loss_bbox: 0.2479, loss_mask: 0.2502, loss: 0.7574 2024-05-27 20:44:54,518 - mmdet - INFO - Epoch [6][3600/7330] lr: 1.000e-04, eta: 7:05:01, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0371, loss_cls: 0.1901, acc: 93.2561, loss_bbox: 0.2346, loss_mask: 0.2433, loss: 0.7294 2024-05-27 20:45:25,537 - mmdet - INFO - Epoch [6][3650/7330] lr: 1.000e-04, eta: 7:04:39, time: 0.620, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0401, loss_cls: 0.2018, acc: 92.8354, loss_bbox: 0.2490, loss_mask: 0.2516, loss: 0.7693 2024-05-27 20:45:57,581 - mmdet - INFO - Epoch [6][3700/7330] lr: 1.000e-04, eta: 7:04:19, time: 0.641, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0356, loss_cls: 0.1912, acc: 93.1721, loss_bbox: 0.2397, loss_mask: 0.2413, loss: 0.7324 2024-05-27 20:46:25,873 - mmdet - INFO - Epoch [6][3750/7330] lr: 1.000e-04, eta: 7:03:54, time: 0.566, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0380, loss_cls: 0.1946, acc: 93.1204, loss_bbox: 0.2451, loss_mask: 0.2478, loss: 0.7505 2024-05-27 20:46:52,036 - mmdet - INFO - Epoch [6][3800/7330] lr: 1.000e-04, eta: 7:03:27, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0429, loss_cls: 0.2056, acc: 92.6160, loss_bbox: 0.2619, loss_mask: 0.2525, loss: 0.7904 2024-05-27 20:47:17,802 - mmdet - INFO - Epoch [6][3850/7330] lr: 1.000e-04, eta: 7:02:59, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0385, loss_cls: 0.1940, acc: 93.0530, loss_bbox: 0.2394, loss_mask: 0.2497, loss: 0.7489 2024-05-27 20:47:50,114 - mmdet - INFO - Epoch [6][3900/7330] lr: 1.000e-04, eta: 7:02:38, time: 0.646, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0377, loss_cls: 0.1879, acc: 93.2605, loss_bbox: 0.2406, loss_mask: 0.2494, loss: 0.7394 2024-05-27 20:48:16,305 - mmdet - INFO - Epoch [6][3950/7330] lr: 1.000e-04, eta: 7:02:11, time: 0.524, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0400, loss_cls: 0.2001, acc: 92.7703, loss_bbox: 0.2507, loss_mask: 0.2512, loss: 0.7693 2024-05-27 20:48:42,229 - mmdet - INFO - Epoch [6][4000/7330] lr: 1.000e-04, eta: 7:01:43, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0404, loss_cls: 0.2000, acc: 92.8367, loss_bbox: 0.2465, loss_mask: 0.2501, loss: 0.7636 2024-05-27 20:49:08,031 - mmdet - INFO - Epoch [6][4050/7330] lr: 1.000e-04, eta: 7:01:15, time: 0.516, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0410, loss_cls: 0.1990, acc: 92.8887, loss_bbox: 0.2462, loss_mask: 0.2450, loss: 0.7588 2024-05-27 20:49:34,320 - mmdet - INFO - Epoch [6][4100/7330] lr: 1.000e-04, eta: 7:00:48, time: 0.525, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0406, loss_cls: 0.1947, acc: 92.9929, loss_bbox: 0.2441, loss_mask: 0.2441, loss: 0.7509 2024-05-27 20:50:00,512 - mmdet - INFO - Epoch [6][4150/7330] lr: 1.000e-04, eta: 7:00:21, time: 0.524, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0394, loss_cls: 0.1954, acc: 93.0325, loss_bbox: 0.2481, loss_mask: 0.2386, loss: 0.7488 2024-05-27 20:50:26,400 - mmdet - INFO - Epoch [6][4200/7330] lr: 1.000e-04, eta: 6:59:53, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0377, loss_cls: 0.1912, acc: 93.1443, loss_bbox: 0.2398, loss_mask: 0.2452, loss: 0.7397 2024-05-27 20:50:54,928 - mmdet - INFO - Epoch [6][4250/7330] lr: 1.000e-04, eta: 6:59:28, time: 0.570, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0392, loss_cls: 0.2023, acc: 92.8745, loss_bbox: 0.2446, loss_mask: 0.2473, loss: 0.7593 2024-05-27 20:51:20,914 - mmdet - INFO - Epoch [6][4300/7330] lr: 1.000e-04, eta: 6:59:01, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0405, loss_cls: 0.1971, acc: 92.8977, loss_bbox: 0.2505, loss_mask: 0.2506, loss: 0.7648 2024-05-27 20:51:46,990 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 20:51:46,990 - mmdet - INFO - Epoch [6][4350/7330] lr: 1.000e-04, eta: 6:58:33, time: 0.522, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0400, loss_cls: 0.2022, acc: 92.7896, loss_bbox: 0.2554, loss_mask: 0.2478, loss: 0.7717 2024-05-27 20:52:13,251 - mmdet - INFO - Epoch [6][4400/7330] lr: 1.000e-04, eta: 6:58:06, time: 0.525, data_time: 0.026, memory: 6051, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0395, loss_cls: 0.1994, acc: 92.8853, loss_bbox: 0.2467, loss_mask: 0.2465, loss: 0.7562 2024-05-27 20:52:39,300 - mmdet - INFO - Epoch [6][4450/7330] lr: 1.000e-04, eta: 6:57:39, time: 0.521, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0394, loss_cls: 0.1888, acc: 93.1738, loss_bbox: 0.2434, loss_mask: 0.2463, loss: 0.7432 2024-05-27 20:53:08,102 - mmdet - INFO - Epoch [6][4500/7330] lr: 1.000e-04, eta: 6:57:14, time: 0.576, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0423, loss_cls: 0.2045, acc: 92.6499, loss_bbox: 0.2574, loss_mask: 0.2479, loss: 0.7791 2024-05-27 20:53:41,566 - mmdet - INFO - Epoch [6][4550/7330] lr: 1.000e-04, eta: 6:56:55, time: 0.669, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0378, loss_cls: 0.1951, acc: 92.9946, loss_bbox: 0.2419, loss_mask: 0.2359, loss: 0.7375 2024-05-27 20:54:09,847 - mmdet - INFO - Epoch [6][4600/7330] lr: 1.000e-04, eta: 6:56:28, time: 0.522, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0373, loss_cls: 0.1935, acc: 93.0288, loss_bbox: 0.2450, loss_mask: 0.2412, loss: 0.7419 2024-05-27 20:54:36,123 - mmdet - INFO - Epoch [6][4650/7330] lr: 1.000e-04, eta: 6:56:03, time: 0.569, data_time: 0.067, memory: 6051, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0400, loss_cls: 0.1985, acc: 92.7832, loss_bbox: 0.2534, loss_mask: 0.2467, loss: 0.7660 2024-05-27 20:55:02,298 - mmdet - INFO - Epoch [6][4700/7330] lr: 1.000e-04, eta: 6:55:35, time: 0.524, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0395, loss_cls: 0.1951, acc: 92.9841, loss_bbox: 0.2485, loss_mask: 0.2451, loss: 0.7543 2024-05-27 20:55:28,445 - mmdet - INFO - Epoch [6][4750/7330] lr: 1.000e-04, eta: 6:55:08, time: 0.523, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0390, loss_cls: 0.1936, acc: 92.9714, loss_bbox: 0.2446, loss_mask: 0.2481, loss: 0.7526 2024-05-27 20:55:58,667 - mmdet - INFO - Epoch [6][4800/7330] lr: 1.000e-04, eta: 6:54:45, time: 0.604, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0380, loss_cls: 0.2037, acc: 92.7432, loss_bbox: 0.2475, loss_mask: 0.2428, loss: 0.7582 2024-05-27 20:56:24,850 - mmdet - INFO - Epoch [6][4850/7330] lr: 1.000e-04, eta: 6:54:18, time: 0.524, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0416, loss_cls: 0.2112, acc: 92.5842, loss_bbox: 0.2555, loss_mask: 0.2486, loss: 0.7873 2024-05-27 20:56:50,792 - mmdet - INFO - Epoch [6][4900/7330] lr: 1.000e-04, eta: 6:53:50, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0404, loss_cls: 0.2051, acc: 92.6689, loss_bbox: 0.2574, loss_mask: 0.2505, loss: 0.7788 2024-05-27 20:57:16,930 - mmdet - INFO - Epoch [6][4950/7330] lr: 1.000e-04, eta: 6:53:23, time: 0.523, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0420, loss_cls: 0.2017, acc: 92.6689, loss_bbox: 0.2509, loss_mask: 0.2561, loss: 0.7791 2024-05-27 20:57:42,978 - mmdet - INFO - Epoch [6][5000/7330] lr: 1.000e-04, eta: 6:52:55, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0408, loss_cls: 0.2061, acc: 92.6384, loss_bbox: 0.2544, loss_mask: 0.2443, loss: 0.7732 2024-05-27 20:58:08,746 - mmdet - INFO - Epoch [6][5050/7330] lr: 1.000e-04, eta: 6:52:27, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0391, loss_cls: 0.2001, acc: 92.8855, loss_bbox: 0.2427, loss_mask: 0.2421, loss: 0.7507 2024-05-27 20:58:37,280 - mmdet - INFO - Epoch [6][5100/7330] lr: 1.000e-04, eta: 6:52:02, time: 0.571, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0399, loss_cls: 0.1990, acc: 92.9678, loss_bbox: 0.2411, loss_mask: 0.2479, loss: 0.7581 2024-05-27 20:59:03,360 - mmdet - INFO - Epoch [6][5150/7330] lr: 1.000e-04, eta: 6:51:35, time: 0.521, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0406, loss_cls: 0.1984, acc: 92.8770, loss_bbox: 0.2463, loss_mask: 0.2435, loss: 0.7561 2024-05-27 20:59:29,337 - mmdet - INFO - Epoch [6][5200/7330] lr: 1.000e-04, eta: 6:51:07, time: 0.520, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0422, loss_cls: 0.2041, acc: 92.7856, loss_bbox: 0.2492, loss_mask: 0.2471, loss: 0.7687 2024-05-27 20:59:55,545 - mmdet - INFO - Epoch [6][5250/7330] lr: 1.000e-04, eta: 6:50:40, time: 0.524, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0410, loss_cls: 0.2021, acc: 92.7886, loss_bbox: 0.2506, loss_mask: 0.2447, loss: 0.7656 2024-05-27 21:00:21,478 - mmdet - INFO - Epoch [6][5300/7330] lr: 1.000e-04, eta: 6:50:12, time: 0.519, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0406, loss_cls: 0.1932, acc: 93.0791, loss_bbox: 0.2425, loss_mask: 0.2445, loss: 0.7468 2024-05-27 21:00:47,561 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 21:00:47,561 - mmdet - INFO - Epoch [6][5350/7330] lr: 1.000e-04, eta: 6:49:45, time: 0.522, data_time: 0.025, memory: 6051, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0357, loss_cls: 0.1885, acc: 93.2625, loss_bbox: 0.2372, loss_mask: 0.2456, loss: 0.7319 2024-05-27 21:01:16,137 - mmdet - INFO - Epoch [6][5400/7330] lr: 1.000e-04, eta: 6:49:20, time: 0.571, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0416, loss_cls: 0.2056, acc: 92.6240, loss_bbox: 0.2542, loss_mask: 0.2494, loss: 0.7808 2024-05-27 21:01:49,808 - mmdet - INFO - Epoch [6][5450/7330] lr: 1.000e-04, eta: 6:49:01, time: 0.673, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0383, loss_cls: 0.1985, acc: 92.9832, loss_bbox: 0.2489, loss_mask: 0.2405, loss: 0.7521 2024-05-27 21:02:18,060 - mmdet - INFO - Epoch [6][5500/7330] lr: 1.000e-04, eta: 6:48:36, time: 0.565, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0412, loss_cls: 0.2102, acc: 92.4712, loss_bbox: 0.2643, loss_mask: 0.2519, loss: 0.7948 2024-05-27 21:02:43,795 - mmdet - INFO - Epoch [6][5550/7330] lr: 1.000e-04, eta: 6:48:08, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0382, loss_cls: 0.1953, acc: 93.0288, loss_bbox: 0.2433, loss_mask: 0.2459, loss: 0.7477 2024-05-27 21:03:09,826 - mmdet - INFO - Epoch [6][5600/7330] lr: 1.000e-04, eta: 6:47:40, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0361, loss_cls: 0.1907, acc: 93.1919, loss_bbox: 0.2400, loss_mask: 0.2403, loss: 0.7318 2024-05-27 21:03:38,734 - mmdet - INFO - Epoch [6][5650/7330] lr: 1.000e-04, eta: 6:47:16, time: 0.578, data_time: 0.076, memory: 6051, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0415, loss_cls: 0.2056, acc: 92.6948, loss_bbox: 0.2475, loss_mask: 0.2496, loss: 0.7732 2024-05-27 21:04:08,949 - mmdet - INFO - Epoch [6][5700/7330] lr: 1.000e-04, eta: 6:46:53, time: 0.604, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0397, loss_cls: 0.1959, acc: 93.0334, loss_bbox: 0.2435, loss_mask: 0.2438, loss: 0.7486 2024-05-27 21:04:34,993 - mmdet - INFO - Epoch [6][5750/7330] lr: 1.000e-04, eta: 6:46:25, time: 0.521, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0403, loss_cls: 0.1925, acc: 93.1033, loss_bbox: 0.2422, loss_mask: 0.2446, loss: 0.7471 2024-05-27 21:05:01,049 - mmdet - INFO - Epoch [6][5800/7330] lr: 1.000e-04, eta: 6:45:58, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0395, loss_cls: 0.1991, acc: 92.8599, loss_bbox: 0.2471, loss_mask: 0.2465, loss: 0.7581 2024-05-27 21:05:26,838 - mmdet - INFO - Epoch [6][5850/7330] lr: 1.000e-04, eta: 6:45:30, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0404, loss_cls: 0.1996, acc: 92.6562, loss_bbox: 0.2522, loss_mask: 0.2517, loss: 0.7688 2024-05-27 21:05:52,840 - mmdet - INFO - Epoch [6][5900/7330] lr: 1.000e-04, eta: 6:45:02, time: 0.520, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0407, loss_cls: 0.1995, acc: 93.0049, loss_bbox: 0.2444, loss_mask: 0.2485, loss: 0.7584 2024-05-27 21:06:18,728 - mmdet - INFO - Epoch [6][5950/7330] lr: 1.000e-04, eta: 6:44:35, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0387, loss_cls: 0.1977, acc: 92.8872, loss_bbox: 0.2451, loss_mask: 0.2471, loss: 0.7541 2024-05-27 21:06:47,232 - mmdet - INFO - Epoch [6][6000/7330] lr: 1.000e-04, eta: 6:44:10, time: 0.570, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0391, loss_cls: 0.1944, acc: 92.9963, loss_bbox: 0.2417, loss_mask: 0.2457, loss: 0.7490 2024-05-27 21:07:13,001 - mmdet - INFO - Epoch [6][6050/7330] lr: 1.000e-04, eta: 6:43:42, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0388, loss_cls: 0.1972, acc: 92.8784, loss_bbox: 0.2436, loss_mask: 0.2458, loss: 0.7527 2024-05-27 21:07:38,851 - mmdet - INFO - Epoch [6][6100/7330] lr: 1.000e-04, eta: 6:43:14, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0395, loss_cls: 0.1927, acc: 93.1946, loss_bbox: 0.2406, loss_mask: 0.2446, loss: 0.7432 2024-05-27 21:08:04,730 - mmdet - INFO - Epoch [6][6150/7330] lr: 1.000e-04, eta: 6:42:47, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0408, loss_cls: 0.1988, acc: 92.8250, loss_bbox: 0.2510, loss_mask: 0.2483, loss: 0.7653 2024-05-27 21:08:30,773 - mmdet - INFO - Epoch [6][6200/7330] lr: 1.000e-04, eta: 6:42:19, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0402, loss_cls: 0.2051, acc: 92.6145, loss_bbox: 0.2542, loss_mask: 0.2454, loss: 0.7716 2024-05-27 21:08:56,984 - mmdet - INFO - Epoch [6][6250/7330] lr: 1.000e-04, eta: 6:41:52, time: 0.525, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0407, loss_cls: 0.1957, acc: 92.9753, loss_bbox: 0.2439, loss_mask: 0.2492, loss: 0.7564 2024-05-27 21:09:28,440 - mmdet - INFO - Epoch [6][6300/7330] lr: 1.000e-04, eta: 6:41:30, time: 0.629, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0401, loss_cls: 0.1969, acc: 92.9385, loss_bbox: 0.2475, loss_mask: 0.2481, loss: 0.7595 2024-05-27 21:09:59,213 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 21:09:59,214 - mmdet - INFO - Epoch [6][6350/7330] lr: 1.000e-04, eta: 6:41:07, time: 0.615, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0425, loss_cls: 0.2041, acc: 92.6375, loss_bbox: 0.2601, loss_mask: 0.2482, loss: 0.7825 2024-05-27 21:10:27,608 - mmdet - INFO - Epoch [6][6400/7330] lr: 1.000e-04, eta: 6:40:42, time: 0.568, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0441, loss_cls: 0.2023, acc: 92.5933, loss_bbox: 0.2601, loss_mask: 0.2507, loss: 0.7839 2024-05-27 21:10:53,675 - mmdet - INFO - Epoch [6][6450/7330] lr: 1.000e-04, eta: 6:40:15, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0400, loss_cls: 0.1998, acc: 92.7434, loss_bbox: 0.2488, loss_mask: 0.2460, loss: 0.7612 2024-05-27 21:11:19,870 - mmdet - INFO - Epoch [6][6500/7330] lr: 1.000e-04, eta: 6:39:47, time: 0.524, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0400, loss_cls: 0.2000, acc: 92.7864, loss_bbox: 0.2545, loss_mask: 0.2510, loss: 0.7732 2024-05-27 21:11:45,996 - mmdet - INFO - Epoch [6][6550/7330] lr: 1.000e-04, eta: 6:39:20, time: 0.523, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0390, loss_cls: 0.2016, acc: 92.7200, loss_bbox: 0.2497, loss_mask: 0.2455, loss: 0.7607 2024-05-27 21:12:16,482 - mmdet - INFO - Epoch [6][6600/7330] lr: 1.000e-04, eta: 6:38:57, time: 0.610, data_time: 0.026, memory: 6051, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0374, loss_cls: 0.1946, acc: 93.1421, loss_bbox: 0.2391, loss_mask: 0.2440, loss: 0.7401 2024-05-27 21:12:42,301 - mmdet - INFO - Epoch [6][6650/7330] lr: 1.000e-04, eta: 6:38:29, time: 0.516, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0375, loss_cls: 0.1934, acc: 93.1702, loss_bbox: 0.2371, loss_mask: 0.2397, loss: 0.7332 2024-05-27 21:13:08,274 - mmdet - INFO - Epoch [6][6700/7330] lr: 1.000e-04, eta: 6:38:02, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0344, loss_cls: 0.1886, acc: 93.3513, loss_bbox: 0.2307, loss_mask: 0.2415, loss: 0.7180 2024-05-27 21:13:34,055 - mmdet - INFO - Epoch [6][6750/7330] lr: 1.000e-04, eta: 6:37:34, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0400, loss_cls: 0.2011, acc: 92.7073, loss_bbox: 0.2534, loss_mask: 0.2511, loss: 0.7727 2024-05-27 21:14:00,242 - mmdet - INFO - Epoch [6][6800/7330] lr: 1.000e-04, eta: 6:37:07, time: 0.524, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0405, loss_cls: 0.2058, acc: 92.6782, loss_bbox: 0.2537, loss_mask: 0.2521, loss: 0.7807 2024-05-27 21:14:26,501 - mmdet - INFO - Epoch [6][6850/7330] lr: 1.000e-04, eta: 6:36:39, time: 0.525, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0424, loss_cls: 0.2064, acc: 92.6025, loss_bbox: 0.2556, loss_mask: 0.2537, loss: 0.7850 2024-05-27 21:14:54,610 - mmdet - INFO - Epoch [6][6900/7330] lr: 1.000e-04, eta: 6:36:14, time: 0.562, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0387, loss_cls: 0.1867, acc: 93.2529, loss_bbox: 0.2395, loss_mask: 0.2450, loss: 0.7364 2024-05-27 21:15:20,586 - mmdet - INFO - Epoch [6][6950/7330] lr: 1.000e-04, eta: 6:35:46, time: 0.520, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0410, loss_cls: 0.1961, acc: 92.8826, loss_bbox: 0.2489, loss_mask: 0.2449, loss: 0.7587 2024-05-27 21:15:46,520 - mmdet - INFO - Epoch [6][7000/7330] lr: 1.000e-04, eta: 6:35:19, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0371, loss_cls: 0.1948, acc: 93.0325, loss_bbox: 0.2368, loss_mask: 0.2439, loss: 0.7367 2024-05-27 21:16:12,447 - mmdet - INFO - Epoch [6][7050/7330] lr: 1.000e-04, eta: 6:34:51, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0381, loss_cls: 0.1937, acc: 93.1187, loss_bbox: 0.2433, loss_mask: 0.2523, loss: 0.7526 2024-05-27 21:16:38,417 - mmdet - INFO - Epoch [6][7100/7330] lr: 1.000e-04, eta: 6:34:24, time: 0.519, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0404, loss_cls: 0.1981, acc: 92.9326, loss_bbox: 0.2494, loss_mask: 0.2471, loss: 0.7601 2024-05-27 21:17:04,284 - mmdet - INFO - Epoch [6][7150/7330] lr: 1.000e-04, eta: 6:33:56, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0395, loss_cls: 0.1934, acc: 93.1028, loss_bbox: 0.2417, loss_mask: 0.2474, loss: 0.7480 2024-05-27 21:17:35,508 - mmdet - INFO - Epoch [6][7200/7330] lr: 1.000e-04, eta: 6:33:34, time: 0.624, data_time: 0.025, memory: 6051, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0419, loss_cls: 0.2082, acc: 92.5798, loss_bbox: 0.2581, loss_mask: 0.2490, loss: 0.7848 2024-05-27 21:18:06,887 - mmdet - INFO - Epoch [6][7250/7330] lr: 1.000e-04, eta: 6:33:12, time: 0.628, data_time: 0.025, memory: 6051, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0407, loss_cls: 0.1997, acc: 92.7964, loss_bbox: 0.2539, loss_mask: 0.2523, loss: 0.7745 2024-05-27 21:18:35,332 - mmdet - INFO - Epoch [6][7300/7330] lr: 1.000e-04, eta: 6:32:46, time: 0.569, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0403, loss_cls: 0.1987, acc: 92.9792, loss_bbox: 0.2482, loss_mask: 0.2512, loss: 0.7650 2024-05-27 21:18:51,566 - mmdet - INFO - Saving checkpoint at 6 epochs 2024-05-27 21:20:36,386 - mmdet - INFO - Evaluating bbox... 2024-05-27 21:20:59,798 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.398 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.625 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.432 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.219 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.439 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.564 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.520 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.520 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.520 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.318 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.570 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.691 2024-05-27 21:20:59,799 - mmdet - INFO - Evaluating segm... 2024-05-27 21:21:28,521 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.361 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.590 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.378 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.154 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.394 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.583 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.472 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.472 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.472 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.256 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.522 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.673 2024-05-27 21:21:28,881 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 21:21:28,882 - mmdet - INFO - Epoch(val) [6][625] bbox_mAP: 0.3980, bbox_mAP_50: 0.6250, bbox_mAP_75: 0.4320, bbox_mAP_s: 0.2190, bbox_mAP_m: 0.4390, bbox_mAP_l: 0.5640, bbox_mAP_copypaste: 0.398 0.625 0.432 0.219 0.439 0.564, segm_mAP: 0.3610, segm_mAP_50: 0.5900, segm_mAP_75: 0.3780, segm_mAP_s: 0.1540, segm_mAP_m: 0.3940, segm_mAP_l: 0.5830, segm_mAP_copypaste: 0.361 0.590 0.378 0.154 0.394 0.583 2024-05-27 21:22:01,093 - mmdet - INFO - Epoch [7][50/7330] lr: 1.000e-04, eta: 6:31:53, time: 0.641, data_time: 0.084, memory: 6051, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0388, loss_cls: 0.1911, acc: 93.0688, loss_bbox: 0.2482, loss_mask: 0.2390, loss: 0.7413 2024-05-27 21:22:27,200 - mmdet - INFO - Epoch [7][100/7330] lr: 1.000e-04, eta: 6:31:25, time: 0.523, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0398, loss_cls: 0.1886, acc: 93.1021, loss_bbox: 0.2473, loss_mask: 0.2478, loss: 0.7481 2024-05-27 21:22:53,186 - mmdet - INFO - Epoch [7][150/7330] lr: 1.000e-04, eta: 6:30:58, time: 0.520, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0367, loss_cls: 0.1798, acc: 93.4893, loss_bbox: 0.2307, loss_mask: 0.2359, loss: 0.7045 2024-05-27 21:23:19,180 - mmdet - INFO - Epoch [7][200/7330] lr: 1.000e-04, eta: 6:30:30, time: 0.520, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0426, loss_cls: 0.2024, acc: 92.6401, loss_bbox: 0.2569, loss_mask: 0.2527, loss: 0.7828 2024-05-27 21:23:45,266 - mmdet - INFO - Epoch [7][250/7330] lr: 1.000e-04, eta: 6:30:03, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0375, loss_cls: 0.1754, acc: 93.5168, loss_bbox: 0.2314, loss_mask: 0.2366, loss: 0.7036 2024-05-27 21:24:11,201 - mmdet - INFO - Epoch [7][300/7330] lr: 1.000e-04, eta: 6:29:35, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0406, loss_cls: 0.1916, acc: 93.0437, loss_bbox: 0.2454, loss_mask: 0.2427, loss: 0.7461 2024-05-27 21:24:37,201 - mmdet - INFO - Epoch [7][350/7330] lr: 1.000e-04, eta: 6:29:08, time: 0.520, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0362, loss_cls: 0.1836, acc: 93.2549, loss_bbox: 0.2335, loss_mask: 0.2365, loss: 0.7119 2024-05-27 21:25:03,261 - mmdet - INFO - Epoch [7][400/7330] lr: 1.000e-04, eta: 6:28:40, time: 0.521, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0353, loss_cls: 0.1745, acc: 93.6042, loss_bbox: 0.2269, loss_mask: 0.2323, loss: 0.6907 2024-05-27 21:25:29,220 - mmdet - INFO - Epoch [7][450/7330] lr: 1.000e-04, eta: 6:28:13, time: 0.519, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0392, loss_cls: 0.1877, acc: 93.0894, loss_bbox: 0.2463, loss_mask: 0.2418, loss: 0.7385 2024-05-27 21:25:57,315 - mmdet - INFO - Epoch [7][500/7330] lr: 1.000e-04, eta: 6:27:47, time: 0.562, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0374, loss_cls: 0.1813, acc: 93.4658, loss_bbox: 0.2320, loss_mask: 0.2338, loss: 0.7079 2024-05-27 21:26:23,236 - mmdet - INFO - Epoch [7][550/7330] lr: 1.000e-04, eta: 6:27:20, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0391, loss_cls: 0.1948, acc: 92.9775, loss_bbox: 0.2450, loss_mask: 0.2455, loss: 0.7509 2024-05-27 21:26:49,266 - mmdet - INFO - Epoch [7][600/7330] lr: 1.000e-04, eta: 6:26:52, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0366, loss_cls: 0.1846, acc: 93.2146, loss_bbox: 0.2403, loss_mask: 0.2437, loss: 0.7292 2024-05-27 21:27:14,894 - mmdet - INFO - Epoch [7][650/7330] lr: 1.000e-04, eta: 6:26:25, time: 0.513, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0384, loss_cls: 0.1851, acc: 93.3562, loss_bbox: 0.2347, loss_mask: 0.2364, loss: 0.7184 2024-05-27 21:27:40,865 - mmdet - INFO - Epoch [7][700/7330] lr: 1.000e-04, eta: 6:25:57, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0369, loss_cls: 0.1754, acc: 93.5728, loss_bbox: 0.2304, loss_mask: 0.2359, loss: 0.7021 2024-05-27 21:28:06,940 - mmdet - INFO - Epoch [7][750/7330] lr: 1.000e-04, eta: 6:25:30, time: 0.521, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0393, loss_cls: 0.1909, acc: 92.9817, loss_bbox: 0.2459, loss_mask: 0.2447, loss: 0.7457 2024-05-27 21:28:32,670 - mmdet - INFO - Epoch [7][800/7330] lr: 1.000e-04, eta: 6:25:02, time: 0.515, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0373, loss_cls: 0.1876, acc: 93.1396, loss_bbox: 0.2383, loss_mask: 0.2388, loss: 0.7256 2024-05-27 21:28:58,273 - mmdet - INFO - Epoch [7][850/7330] lr: 1.000e-04, eta: 6:24:34, time: 0.512, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0361, loss_cls: 0.1782, acc: 93.4683, loss_bbox: 0.2315, loss_mask: 0.2404, loss: 0.7092 2024-05-27 21:29:23,996 - mmdet - INFO - Epoch [7][900/7330] lr: 1.000e-04, eta: 6:24:06, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0366, loss_cls: 0.1906, acc: 93.1958, loss_bbox: 0.2396, loss_mask: 0.2473, loss: 0.7376 2024-05-27 21:29:57,528 - mmdet - INFO - Epoch [7][950/7330] lr: 1.000e-04, eta: 6:23:46, time: 0.671, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0395, loss_cls: 0.1898, acc: 93.0835, loss_bbox: 0.2471, loss_mask: 0.2432, loss: 0.7440 2024-05-27 21:30:25,725 - mmdet - INFO - Epoch [7][1000/7330] lr: 1.000e-04, eta: 6:23:21, time: 0.564, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0394, loss_cls: 0.1910, acc: 93.0078, loss_bbox: 0.2450, loss_mask: 0.2447, loss: 0.7441 2024-05-27 21:30:53,844 - mmdet - INFO - Epoch [7][1050/7330] lr: 1.000e-04, eta: 6:22:55, time: 0.562, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0362, loss_cls: 0.1831, acc: 93.4316, loss_bbox: 0.2355, loss_mask: 0.2384, loss: 0.7156 2024-05-27 21:31:21,919 - mmdet - INFO - Epoch [7][1100/7330] lr: 1.000e-04, eta: 6:22:30, time: 0.562, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0392, loss_cls: 0.1897, acc: 93.1804, loss_bbox: 0.2431, loss_mask: 0.2475, loss: 0.7440 2024-05-27 21:31:47,937 - mmdet - INFO - Epoch [7][1150/7330] lr: 1.000e-04, eta: 6:22:02, time: 0.520, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0382, loss_cls: 0.1839, acc: 93.2754, loss_bbox: 0.2342, loss_mask: 0.2362, loss: 0.7148 2024-05-27 21:32:16,313 - mmdet - INFO - Epoch [7][1200/7330] lr: 1.000e-04, eta: 6:21:37, time: 0.568, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0364, loss_cls: 0.1825, acc: 93.3425, loss_bbox: 0.2370, loss_mask: 0.2439, loss: 0.7227 2024-05-27 21:32:42,079 - mmdet - INFO - Epoch [7][1250/7330] lr: 1.000e-04, eta: 6:21:09, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0365, loss_cls: 0.1803, acc: 93.4089, loss_bbox: 0.2387, loss_mask: 0.2420, loss: 0.7212 2024-05-27 21:33:07,963 - mmdet - INFO - Epoch [7][1300/7330] lr: 1.000e-04, eta: 6:20:42, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0356, loss_cls: 0.1812, acc: 93.3130, loss_bbox: 0.2320, loss_mask: 0.2326, loss: 0.7034 2024-05-27 21:33:33,999 - mmdet - INFO - Epoch [7][1350/7330] lr: 1.000e-04, eta: 6:20:14, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0422, loss_cls: 0.1990, acc: 92.8389, loss_bbox: 0.2498, loss_mask: 0.2464, loss: 0.7637 2024-05-27 21:34:02,262 - mmdet - INFO - Epoch [7][1400/7330] lr: 1.000e-04, eta: 6:19:49, time: 0.565, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0400, loss_cls: 0.1896, acc: 93.1228, loss_bbox: 0.2442, loss_mask: 0.2415, loss: 0.7390 2024-05-27 21:34:28,154 - mmdet - INFO - Epoch [7][1450/7330] lr: 1.000e-04, eta: 6:19:21, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0384, loss_cls: 0.1954, acc: 92.9333, loss_bbox: 0.2450, loss_mask: 0.2408, loss: 0.7439 2024-05-27 21:34:54,081 - mmdet - INFO - Epoch [7][1500/7330] lr: 1.000e-04, eta: 6:18:54, time: 0.519, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0395, loss_cls: 0.1902, acc: 93.0100, loss_bbox: 0.2474, loss_mask: 0.2449, loss: 0.7460 2024-05-27 21:35:19,992 - mmdet - INFO - Epoch [7][1550/7330] lr: 1.000e-04, eta: 6:18:26, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0405, loss_cls: 0.1925, acc: 92.9177, loss_bbox: 0.2476, loss_mask: 0.2402, loss: 0.7474 2024-05-27 21:35:46,328 - mmdet - INFO - Epoch [7][1600/7330] lr: 1.000e-04, eta: 6:17:59, time: 0.527, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0402, loss_cls: 0.1930, acc: 92.9878, loss_bbox: 0.2489, loss_mask: 0.2425, loss: 0.7491 2024-05-27 21:36:12,421 - mmdet - INFO - Epoch [7][1650/7330] lr: 1.000e-04, eta: 6:17:32, time: 0.522, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0390, loss_cls: 0.1954, acc: 92.9341, loss_bbox: 0.2443, loss_mask: 0.2414, loss: 0.7461 2024-05-27 21:36:38,240 - mmdet - INFO - Epoch [7][1700/7330] lr: 1.000e-04, eta: 6:17:04, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0378, loss_cls: 0.1841, acc: 93.2878, loss_bbox: 0.2358, loss_mask: 0.2398, loss: 0.7205 2024-05-27 21:37:04,394 - mmdet - INFO - Epoch [7][1750/7330] lr: 1.000e-04, eta: 6:16:37, time: 0.523, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0360, loss_cls: 0.1916, acc: 93.0969, loss_bbox: 0.2440, loss_mask: 0.2401, loss: 0.7347 2024-05-27 21:37:32,694 - mmdet - INFO - Epoch [7][1800/7330] lr: 1.000e-04, eta: 6:16:11, time: 0.566, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0374, loss_cls: 0.1843, acc: 93.3127, loss_bbox: 0.2450, loss_mask: 0.2452, loss: 0.7344 2024-05-27 21:38:04,533 - mmdet - INFO - Epoch [7][1850/7330] lr: 1.000e-04, eta: 6:15:49, time: 0.637, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0377, loss_cls: 0.1839, acc: 93.2483, loss_bbox: 0.2340, loss_mask: 0.2371, loss: 0.7166 2024-05-27 21:38:32,650 - mmdet - INFO - Epoch [7][1900/7330] lr: 1.000e-04, eta: 6:15:24, time: 0.562, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0402, loss_cls: 0.1865, acc: 93.2327, loss_bbox: 0.2353, loss_mask: 0.2425, loss: 0.7287 2024-05-27 21:39:02,922 - mmdet - INFO - Epoch [7][1950/7330] lr: 1.000e-04, eta: 6:15:00, time: 0.605, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0390, loss_cls: 0.1879, acc: 93.2654, loss_bbox: 0.2346, loss_mask: 0.2360, loss: 0.7232 2024-05-27 21:39:28,796 - mmdet - INFO - Epoch [7][2000/7330] lr: 1.000e-04, eta: 6:14:33, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0389, loss_cls: 0.1859, acc: 93.2188, loss_bbox: 0.2414, loss_mask: 0.2402, loss: 0.7321 2024-05-27 21:39:54,612 - mmdet - INFO - Epoch [7][2050/7330] lr: 1.000e-04, eta: 6:14:05, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0398, loss_cls: 0.1948, acc: 93.0520, loss_bbox: 0.2401, loss_mask: 0.2446, loss: 0.7445 2024-05-27 21:40:22,600 - mmdet - INFO - Epoch [7][2100/7330] lr: 1.000e-04, eta: 6:13:39, time: 0.560, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0395, loss_cls: 0.1903, acc: 93.0142, loss_bbox: 0.2467, loss_mask: 0.2483, loss: 0.7499 2024-05-27 21:40:48,541 - mmdet - INFO - Epoch [7][2150/7330] lr: 1.000e-04, eta: 6:13:12, time: 0.519, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0380, loss_cls: 0.1922, acc: 93.0581, loss_bbox: 0.2433, loss_mask: 0.2444, loss: 0.7421 2024-05-27 21:41:14,682 - mmdet - INFO - Epoch [7][2200/7330] lr: 1.000e-04, eta: 6:12:45, time: 0.523, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0390, loss_cls: 0.1966, acc: 92.8691, loss_bbox: 0.2469, loss_mask: 0.2477, loss: 0.7563 2024-05-27 21:41:40,597 - mmdet - INFO - Epoch [7][2250/7330] lr: 1.000e-04, eta: 6:12:17, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0383, loss_cls: 0.1820, acc: 93.3110, loss_bbox: 0.2362, loss_mask: 0.2386, loss: 0.7184 2024-05-27 21:42:08,811 - mmdet - INFO - Epoch [7][2300/7330] lr: 1.000e-04, eta: 6:11:52, time: 0.564, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0395, loss_cls: 0.1868, acc: 93.3362, loss_bbox: 0.2407, loss_mask: 0.2450, loss: 0.7377 2024-05-27 21:42:34,537 - mmdet - INFO - Epoch [7][2350/7330] lr: 1.000e-04, eta: 6:11:24, time: 0.515, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0377, loss_cls: 0.1903, acc: 93.1982, loss_bbox: 0.2353, loss_mask: 0.2413, loss: 0.7278 2024-05-27 21:43:00,185 - mmdet - INFO - Epoch [7][2400/7330] lr: 1.000e-04, eta: 6:10:56, time: 0.513, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0380, loss_cls: 0.1815, acc: 93.4670, loss_bbox: 0.2316, loss_mask: 0.2381, loss: 0.7129 2024-05-27 21:43:26,107 - mmdet - INFO - Epoch [7][2450/7330] lr: 1.000e-04, eta: 6:10:29, time: 0.518, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0407, loss_cls: 0.1907, acc: 93.1533, loss_bbox: 0.2435, loss_mask: 0.2491, loss: 0.7500 2024-05-27 21:43:51,871 - mmdet - INFO - Epoch [7][2500/7330] lr: 1.000e-04, eta: 6:10:01, time: 0.515, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0397, loss_cls: 0.1903, acc: 93.0874, loss_bbox: 0.2464, loss_mask: 0.2456, loss: 0.7459 2024-05-27 21:44:18,053 - mmdet - INFO - Epoch [7][2550/7330] lr: 1.000e-04, eta: 6:09:34, time: 0.524, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0413, loss_cls: 0.1946, acc: 92.9531, loss_bbox: 0.2476, loss_mask: 0.2457, loss: 0.7557 2024-05-27 21:44:43,780 - mmdet - INFO - Epoch [7][2600/7330] lr: 1.000e-04, eta: 6:09:06, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0366, loss_cls: 0.1790, acc: 93.4968, loss_bbox: 0.2302, loss_mask: 0.2374, loss: 0.7052 2024-05-27 21:45:09,863 - mmdet - INFO - Epoch [7][2650/7330] lr: 1.000e-04, eta: 6:08:39, time: 0.522, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0402, loss_cls: 0.1970, acc: 92.9119, loss_bbox: 0.2474, loss_mask: 0.2438, loss: 0.7541 2024-05-27 21:45:45,203 - mmdet - INFO - Epoch [7][2700/7330] lr: 1.000e-04, eta: 6:08:19, time: 0.707, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0417, loss_cls: 0.2010, acc: 92.6133, loss_bbox: 0.2597, loss_mask: 0.2513, loss: 0.7801 2024-05-27 21:46:13,332 - mmdet - INFO - Epoch [7][2750/7330] lr: 1.000e-04, eta: 6:07:54, time: 0.563, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0402, loss_cls: 0.1921, acc: 93.0259, loss_bbox: 0.2457, loss_mask: 0.2450, loss: 0.7475 2024-05-27 21:46:41,893 - mmdet - INFO - Epoch [7][2800/7330] lr: 1.000e-04, eta: 6:07:29, time: 0.571, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0389, loss_cls: 0.1911, acc: 93.0054, loss_bbox: 0.2431, loss_mask: 0.2444, loss: 0.7428 2024-05-27 21:47:10,784 - mmdet - INFO - Epoch [7][2850/7330] lr: 1.000e-04, eta: 6:07:04, time: 0.577, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0384, loss_cls: 0.1809, acc: 93.4199, loss_bbox: 0.2380, loss_mask: 0.2408, loss: 0.7207 2024-05-27 21:47:36,720 - mmdet - INFO - Epoch [7][2900/7330] lr: 1.000e-04, eta: 6:06:36, time: 0.519, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0393, loss_cls: 0.1981, acc: 92.8376, loss_bbox: 0.2504, loss_mask: 0.2469, loss: 0.7593 2024-05-27 21:48:02,726 - mmdet - INFO - Epoch [7][2950/7330] lr: 1.000e-04, eta: 6:06:09, time: 0.520, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0395, loss_cls: 0.1926, acc: 92.9990, loss_bbox: 0.2433, loss_mask: 0.2460, loss: 0.7464 2024-05-27 21:48:31,373 - mmdet - INFO - Epoch [7][3000/7330] lr: 1.000e-04, eta: 6:05:44, time: 0.573, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0413, loss_cls: 0.1931, acc: 92.9963, loss_bbox: 0.2494, loss_mask: 0.2459, loss: 0.7556 2024-05-27 21:48:57,402 - mmdet - INFO - Epoch [7][3050/7330] lr: 1.000e-04, eta: 6:05:16, time: 0.521, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0384, loss_cls: 0.1970, acc: 92.8965, loss_bbox: 0.2469, loss_mask: 0.2469, loss: 0.7542 2024-05-27 21:49:23,322 - mmdet - INFO - Epoch [7][3100/7330] lr: 1.000e-04, eta: 6:04:49, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0408, loss_cls: 0.1975, acc: 92.8735, loss_bbox: 0.2518, loss_mask: 0.2464, loss: 0.7607 2024-05-27 21:49:49,171 - mmdet - INFO - Epoch [7][3150/7330] lr: 1.000e-04, eta: 6:04:21, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0377, loss_cls: 0.1877, acc: 93.2549, loss_bbox: 0.2346, loss_mask: 0.2400, loss: 0.7240 2024-05-27 21:50:17,586 - mmdet - INFO - Epoch [7][3200/7330] lr: 1.000e-04, eta: 6:03:56, time: 0.568, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0383, loss_cls: 0.1917, acc: 92.9873, loss_bbox: 0.2385, loss_mask: 0.2403, loss: 0.7338 2024-05-27 21:50:43,271 - mmdet - INFO - Epoch [7][3250/7330] lr: 1.000e-04, eta: 6:03:28, time: 0.514, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0386, loss_cls: 0.1886, acc: 93.1543, loss_bbox: 0.2347, loss_mask: 0.2343, loss: 0.7209 2024-05-27 21:51:09,206 - mmdet - INFO - Epoch [7][3300/7330] lr: 1.000e-04, eta: 6:03:01, time: 0.519, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0404, loss_cls: 0.1966, acc: 92.9714, loss_bbox: 0.2498, loss_mask: 0.2478, loss: 0.7592 2024-05-27 21:51:35,192 - mmdet - INFO - Epoch [7][3350/7330] lr: 1.000e-04, eta: 6:02:33, time: 0.520, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0400, loss_cls: 0.1934, acc: 92.8652, loss_bbox: 0.2509, loss_mask: 0.2416, loss: 0.7502 2024-05-27 21:52:01,199 - mmdet - INFO - Epoch [7][3400/7330] lr: 1.000e-04, eta: 6:02:06, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0408, loss_cls: 0.1963, acc: 92.9084, loss_bbox: 0.2511, loss_mask: 0.2468, loss: 0.7602 2024-05-27 21:52:26,866 - mmdet - INFO - Epoch [7][3450/7330] lr: 1.000e-04, eta: 6:01:38, time: 0.513, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0394, loss_cls: 0.1876, acc: 93.1296, loss_bbox: 0.2410, loss_mask: 0.2440, loss: 0.7363 2024-05-27 21:52:52,828 - mmdet - INFO - Epoch [7][3500/7330] lr: 1.000e-04, eta: 6:01:11, time: 0.519, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0406, loss_cls: 0.1999, acc: 92.8513, loss_bbox: 0.2503, loss_mask: 0.2463, loss: 0.7636 2024-05-27 21:53:18,850 - mmdet - INFO - Epoch [7][3550/7330] lr: 1.000e-04, eta: 6:00:43, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0393, loss_cls: 0.1919, acc: 93.0835, loss_bbox: 0.2481, loss_mask: 0.2457, loss: 0.7483 2024-05-27 21:53:53,726 - mmdet - INFO - Epoch [7][3600/7330] lr: 1.000e-04, eta: 6:00:23, time: 0.698, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0398, loss_cls: 0.1967, acc: 92.9124, loss_bbox: 0.2423, loss_mask: 0.2419, loss: 0.7483 2024-05-27 21:54:22,662 - mmdet - INFO - Epoch [7][3650/7330] lr: 1.000e-04, eta: 5:59:58, time: 0.579, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0392, loss_cls: 0.1898, acc: 93.1165, loss_bbox: 0.2361, loss_mask: 0.2463, loss: 0.7369 2024-05-27 21:54:50,746 - mmdet - INFO - Epoch [7][3700/7330] lr: 1.000e-04, eta: 5:59:33, time: 0.562, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0385, loss_cls: 0.1927, acc: 93.0762, loss_bbox: 0.2442, loss_mask: 0.2455, loss: 0.7448 2024-05-27 21:55:20,184 - mmdet - INFO - Epoch [7][3750/7330] lr: 1.000e-04, eta: 5:59:08, time: 0.589, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0423, loss_cls: 0.2022, acc: 92.7751, loss_bbox: 0.2569, loss_mask: 0.2546, loss: 0.7830 2024-05-27 21:55:46,048 - mmdet - INFO - Epoch [7][3800/7330] lr: 1.000e-04, eta: 5:58:41, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0382, loss_cls: 0.1992, acc: 92.9275, loss_bbox: 0.2462, loss_mask: 0.2408, loss: 0.7473 2024-05-27 21:56:14,398 - mmdet - INFO - Epoch [7][3850/7330] lr: 1.000e-04, eta: 5:58:15, time: 0.567, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0420, loss_cls: 0.1981, acc: 92.8804, loss_bbox: 0.2481, loss_mask: 0.2464, loss: 0.7623 2024-05-27 21:56:40,429 - mmdet - INFO - Epoch [7][3900/7330] lr: 1.000e-04, eta: 5:57:48, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0395, loss_cls: 0.1911, acc: 93.0151, loss_bbox: 0.2428, loss_mask: 0.2405, loss: 0.7381 2024-05-27 21:57:06,239 - mmdet - INFO - Epoch [7][3950/7330] lr: 1.000e-04, eta: 5:57:20, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0367, loss_cls: 0.1787, acc: 93.5361, loss_bbox: 0.2366, loss_mask: 0.2411, loss: 0.7153 2024-05-27 21:57:32,183 - mmdet - INFO - Epoch [7][4000/7330] lr: 1.000e-04, eta: 5:56:53, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0406, loss_cls: 0.1897, acc: 93.2056, loss_bbox: 0.2448, loss_mask: 0.2506, loss: 0.7515 2024-05-27 21:58:00,176 - mmdet - INFO - Epoch [7][4050/7330] lr: 1.000e-04, eta: 5:56:27, time: 0.560, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0406, loss_cls: 0.1931, acc: 92.8787, loss_bbox: 0.2452, loss_mask: 0.2449, loss: 0.7504 2024-05-27 21:58:25,933 - mmdet - INFO - Epoch [7][4100/7330] lr: 1.000e-04, eta: 5:55:59, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0371, loss_cls: 0.1857, acc: 93.2974, loss_bbox: 0.2350, loss_mask: 0.2374, loss: 0.7198 2024-05-27 21:58:52,061 - mmdet - INFO - Epoch [7][4150/7330] lr: 1.000e-04, eta: 5:55:32, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0386, loss_cls: 0.1961, acc: 92.9556, loss_bbox: 0.2454, loss_mask: 0.2426, loss: 0.7466 2024-05-27 21:59:18,000 - mmdet - INFO - Epoch [7][4200/7330] lr: 1.000e-04, eta: 5:55:04, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0387, loss_cls: 0.1972, acc: 92.9197, loss_bbox: 0.2469, loss_mask: 0.2468, loss: 0.7565 2024-05-27 21:59:43,965 - mmdet - INFO - Epoch [7][4250/7330] lr: 1.000e-04, eta: 5:54:37, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0384, loss_cls: 0.1950, acc: 93.0247, loss_bbox: 0.2441, loss_mask: 0.2422, loss: 0.7441 2024-05-27 22:00:09,988 - mmdet - INFO - Epoch [7][4300/7330] lr: 1.000e-04, eta: 5:54:10, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0384, loss_cls: 0.1945, acc: 93.0398, loss_bbox: 0.2442, loss_mask: 0.2415, loss: 0.7422 2024-05-27 22:00:35,847 - mmdet - INFO - Epoch [7][4350/7330] lr: 1.000e-04, eta: 5:53:42, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0371, loss_cls: 0.1858, acc: 93.2651, loss_bbox: 0.2361, loss_mask: 0.2417, loss: 0.7260 2024-05-27 22:01:01,949 - mmdet - INFO - Epoch [7][4400/7330] lr: 1.000e-04, eta: 5:53:15, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0367, loss_cls: 0.1882, acc: 93.1963, loss_bbox: 0.2398, loss_mask: 0.2392, loss: 0.7282 2024-05-27 22:01:29,807 - mmdet - INFO - Epoch [7][4450/7330] lr: 1.000e-04, eta: 5:52:49, time: 0.557, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0396, loss_cls: 0.1926, acc: 93.0625, loss_bbox: 0.2450, loss_mask: 0.2439, loss: 0.7457 2024-05-27 22:02:00,081 - mmdet - INFO - Epoch [7][4500/7330] lr: 1.000e-04, eta: 5:52:25, time: 0.605, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0395, loss_cls: 0.1876, acc: 93.2314, loss_bbox: 0.2377, loss_mask: 0.2366, loss: 0.7281 2024-05-27 22:02:29,026 - mmdet - INFO - Epoch [7][4550/7330] lr: 1.000e-04, eta: 5:52:00, time: 0.579, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0385, loss_cls: 0.1887, acc: 93.0820, loss_bbox: 0.2425, loss_mask: 0.2411, loss: 0.7364 2024-05-27 22:02:59,981 - mmdet - INFO - Epoch [7][4600/7330] lr: 1.000e-04, eta: 5:51:37, time: 0.619, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0392, loss_cls: 0.1917, acc: 93.1150, loss_bbox: 0.2443, loss_mask: 0.2404, loss: 0.7414 2024-05-27 22:03:25,688 - mmdet - INFO - Epoch [7][4650/7330] lr: 1.000e-04, eta: 5:51:09, time: 0.514, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0385, loss_cls: 0.1876, acc: 93.1294, loss_bbox: 0.2423, loss_mask: 0.2413, loss: 0.7335 2024-05-27 22:03:51,324 - mmdet - INFO - Epoch [7][4700/7330] lr: 1.000e-04, eta: 5:50:41, time: 0.513, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0378, loss_cls: 0.1883, acc: 93.2947, loss_bbox: 0.2324, loss_mask: 0.2378, loss: 0.7218 2024-05-27 22:04:19,441 - mmdet - INFO - Epoch [7][4750/7330] lr: 1.000e-04, eta: 5:50:15, time: 0.562, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0383, loss_cls: 0.1847, acc: 93.2725, loss_bbox: 0.2417, loss_mask: 0.2427, loss: 0.7311 2024-05-27 22:04:45,484 - mmdet - INFO - Epoch [7][4800/7330] lr: 1.000e-04, eta: 5:49:48, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0389, loss_cls: 0.1934, acc: 93.0579, loss_bbox: 0.2404, loss_mask: 0.2498, loss: 0.7491 2024-05-27 22:05:11,026 - mmdet - INFO - Epoch [7][4850/7330] lr: 1.000e-04, eta: 5:49:20, time: 0.511, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0366, loss_cls: 0.1883, acc: 93.2400, loss_bbox: 0.2347, loss_mask: 0.2388, loss: 0.7214 2024-05-27 22:05:36,747 - mmdet - INFO - Epoch [7][4900/7330] lr: 1.000e-04, eta: 5:48:53, time: 0.514, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0377, loss_cls: 0.1847, acc: 93.3918, loss_bbox: 0.2381, loss_mask: 0.2420, loss: 0.7262 2024-05-27 22:06:04,693 - mmdet - INFO - Epoch [7][4950/7330] lr: 1.000e-04, eta: 5:48:27, time: 0.559, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0420, loss_cls: 0.1947, acc: 93.1052, loss_bbox: 0.2404, loss_mask: 0.2488, loss: 0.7530 2024-05-27 22:06:30,681 - mmdet - INFO - Epoch [7][5000/7330] lr: 1.000e-04, eta: 5:47:59, time: 0.520, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0406, loss_cls: 0.1965, acc: 92.9189, loss_bbox: 0.2497, loss_mask: 0.2471, loss: 0.7593 2024-05-27 22:06:56,483 - mmdet - INFO - Epoch [7][5050/7330] lr: 1.000e-04, eta: 5:47:32, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0402, loss_cls: 0.2027, acc: 92.7878, loss_bbox: 0.2486, loss_mask: 0.2440, loss: 0.7618 2024-05-27 22:07:22,384 - mmdet - INFO - Epoch [7][5100/7330] lr: 1.000e-04, eta: 5:47:04, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0388, loss_cls: 0.1893, acc: 93.1836, loss_bbox: 0.2413, loss_mask: 0.2409, loss: 0.7339 2024-05-27 22:07:48,150 - mmdet - INFO - Epoch [7][5150/7330] lr: 1.000e-04, eta: 5:46:37, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0391, loss_cls: 0.1955, acc: 93.1118, loss_bbox: 0.2414, loss_mask: 0.2435, loss: 0.7431 2024-05-27 22:08:14,079 - mmdet - INFO - Epoch [7][5200/7330] lr: 1.000e-04, eta: 5:46:09, time: 0.519, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0394, loss_cls: 0.1899, acc: 93.1194, loss_bbox: 0.2372, loss_mask: 0.2374, loss: 0.7286 2024-05-27 22:08:39,632 - mmdet - INFO - Epoch [7][5250/7330] lr: 1.000e-04, eta: 5:45:42, time: 0.511, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0383, loss_cls: 0.1853, acc: 93.1543, loss_bbox: 0.2404, loss_mask: 0.2435, loss: 0.7319 2024-05-27 22:09:11,160 - mmdet - INFO - Epoch [7][5300/7330] lr: 1.000e-04, eta: 5:45:18, time: 0.630, data_time: 0.129, memory: 6051, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0349, loss_cls: 0.1871, acc: 93.2830, loss_bbox: 0.2313, loss_mask: 0.2319, loss: 0.7071 2024-05-27 22:09:41,112 - mmdet - INFO - Epoch [7][5350/7330] lr: 1.000e-04, eta: 5:44:54, time: 0.599, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0404, loss_cls: 0.1925, acc: 93.0432, loss_bbox: 0.2373, loss_mask: 0.2456, loss: 0.7424 2024-05-27 22:10:09,284 - mmdet - INFO - Epoch [7][5400/7330] lr: 1.000e-04, eta: 5:44:28, time: 0.563, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0377, loss_cls: 0.1907, acc: 93.1846, loss_bbox: 0.2406, loss_mask: 0.2410, loss: 0.7347 2024-05-27 22:10:37,981 - mmdet - INFO - Epoch [7][5450/7330] lr: 1.000e-04, eta: 5:44:03, time: 0.574, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0390, loss_cls: 0.1890, acc: 93.1077, loss_bbox: 0.2366, loss_mask: 0.2442, loss: 0.7332 2024-05-27 22:11:08,740 - mmdet - INFO - Epoch [7][5500/7330] lr: 1.000e-04, eta: 5:43:39, time: 0.615, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0386, loss_cls: 0.1884, acc: 93.1787, loss_bbox: 0.2405, loss_mask: 0.2409, loss: 0.7328 2024-05-27 22:11:34,861 - mmdet - INFO - Epoch [7][5550/7330] lr: 1.000e-04, eta: 5:43:12, time: 0.522, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0411, loss_cls: 0.2051, acc: 92.7048, loss_bbox: 0.2491, loss_mask: 0.2397, loss: 0.7620 2024-05-27 22:12:01,045 - mmdet - INFO - Epoch [7][5600/7330] lr: 1.000e-04, eta: 5:42:45, time: 0.524, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0386, loss_cls: 0.2004, acc: 92.8379, loss_bbox: 0.2437, loss_mask: 0.2406, loss: 0.7475 2024-05-27 22:12:29,643 - mmdet - INFO - Epoch [7][5650/7330] lr: 1.000e-04, eta: 5:42:20, time: 0.572, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0401, loss_cls: 0.1914, acc: 93.2478, loss_bbox: 0.2438, loss_mask: 0.2422, loss: 0.7432 2024-05-27 22:12:55,465 - mmdet - INFO - Epoch [7][5700/7330] lr: 1.000e-04, eta: 5:41:52, time: 0.516, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0351, loss_cls: 0.1826, acc: 93.3206, loss_bbox: 0.2304, loss_mask: 0.2368, loss: 0.7084 2024-05-27 22:13:21,380 - mmdet - INFO - Epoch [7][5750/7330] lr: 1.000e-04, eta: 5:41:24, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0359, loss_cls: 0.1831, acc: 93.3267, loss_bbox: 0.2337, loss_mask: 0.2418, loss: 0.7191 2024-05-27 22:13:47,508 - mmdet - INFO - Epoch [7][5800/7330] lr: 1.000e-04, eta: 5:40:57, time: 0.523, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0377, loss_cls: 0.1957, acc: 92.8254, loss_bbox: 0.2471, loss_mask: 0.2410, loss: 0.7450 2024-05-27 22:14:15,581 - mmdet - INFO - Epoch [7][5850/7330] lr: 1.000e-04, eta: 5:40:31, time: 0.561, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0379, loss_cls: 0.1942, acc: 92.9656, loss_bbox: 0.2415, loss_mask: 0.2432, loss: 0.7412 2024-05-27 22:14:41,545 - mmdet - INFO - Epoch [7][5900/7330] lr: 1.000e-04, eta: 5:40:04, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0390, loss_cls: 0.1943, acc: 92.9392, loss_bbox: 0.2468, loss_mask: 0.2498, loss: 0.7546 2024-05-27 22:15:07,636 - mmdet - INFO - Epoch [7][5950/7330] lr: 1.000e-04, eta: 5:39:37, time: 0.522, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0392, loss_cls: 0.1935, acc: 92.9585, loss_bbox: 0.2465, loss_mask: 0.2455, loss: 0.7483 2024-05-27 22:15:33,640 - mmdet - INFO - Epoch [7][6000/7330] lr: 1.000e-04, eta: 5:39:09, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0394, loss_cls: 0.1955, acc: 92.9077, loss_bbox: 0.2492, loss_mask: 0.2474, loss: 0.7584 2024-05-27 22:15:59,678 - mmdet - INFO - Epoch [7][6050/7330] lr: 1.000e-04, eta: 5:38:42, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0375, loss_cls: 0.1855, acc: 93.3691, loss_bbox: 0.2342, loss_mask: 0.2384, loss: 0.7188 2024-05-27 22:16:25,460 - mmdet - INFO - Epoch [7][6100/7330] lr: 1.000e-04, eta: 5:38:14, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0388, loss_cls: 0.1922, acc: 93.0764, loss_bbox: 0.2377, loss_mask: 0.2417, loss: 0.7379 2024-05-27 22:16:51,564 - mmdet - INFO - Epoch [7][6150/7330] lr: 1.000e-04, eta: 5:37:47, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0406, loss_cls: 0.1986, acc: 92.8152, loss_bbox: 0.2488, loss_mask: 0.2513, loss: 0.7667 2024-05-27 22:17:17,717 - mmdet - INFO - Epoch [7][6200/7330] lr: 1.000e-04, eta: 5:37:20, time: 0.523, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0386, loss_cls: 0.1907, acc: 93.1033, loss_bbox: 0.2405, loss_mask: 0.2440, loss: 0.7398 2024-05-27 22:17:50,022 - mmdet - INFO - Epoch [7][6250/7330] lr: 1.000e-04, eta: 5:36:57, time: 0.646, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0380, loss_cls: 0.1918, acc: 93.0044, loss_bbox: 0.2414, loss_mask: 0.2468, loss: 0.7422 2024-05-27 22:18:18,643 - mmdet - INFO - Epoch [7][6300/7330] lr: 1.000e-04, eta: 5:36:32, time: 0.572, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0382, loss_cls: 0.1982, acc: 92.9314, loss_bbox: 0.2472, loss_mask: 0.2469, loss: 0.7562 2024-05-27 22:18:46,616 - mmdet - INFO - Epoch [7][6350/7330] lr: 1.000e-04, eta: 5:36:06, time: 0.559, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0388, loss_cls: 0.1945, acc: 92.9814, loss_bbox: 0.2461, loss_mask: 0.2430, loss: 0.7472 2024-05-27 22:19:15,513 - mmdet - INFO - Epoch [7][6400/7330] lr: 1.000e-04, eta: 5:35:41, time: 0.578, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0375, loss_cls: 0.1987, acc: 92.8250, loss_bbox: 0.2522, loss_mask: 0.2523, loss: 0.7665 2024-05-27 22:19:41,555 - mmdet - INFO - Epoch [7][6450/7330] lr: 1.000e-04, eta: 5:35:13, time: 0.521, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0390, loss_cls: 0.1908, acc: 93.1895, loss_bbox: 0.2396, loss_mask: 0.2469, loss: 0.7414 2024-05-27 22:20:07,919 - mmdet - INFO - Epoch [7][6500/7330] lr: 1.000e-04, eta: 5:34:46, time: 0.527, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0381, loss_cls: 0.1942, acc: 92.9912, loss_bbox: 0.2453, loss_mask: 0.2358, loss: 0.7388 2024-05-27 22:20:36,013 - mmdet - INFO - Epoch [7][6550/7330] lr: 1.000e-04, eta: 5:34:20, time: 0.562, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0367, loss_cls: 0.1875, acc: 93.1890, loss_bbox: 0.2336, loss_mask: 0.2380, loss: 0.7201 2024-05-27 22:21:02,141 - mmdet - INFO - Epoch [7][6600/7330] lr: 1.000e-04, eta: 5:33:53, time: 0.523, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0389, loss_cls: 0.1984, acc: 92.7795, loss_bbox: 0.2498, loss_mask: 0.2396, loss: 0.7520 2024-05-27 22:21:28,211 - mmdet - INFO - Epoch [7][6650/7330] lr: 1.000e-04, eta: 5:33:26, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0393, loss_cls: 0.1929, acc: 93.0881, loss_bbox: 0.2408, loss_mask: 0.2428, loss: 0.7403 2024-05-27 22:21:54,379 - mmdet - INFO - Epoch [7][6700/7330] lr: 1.000e-04, eta: 5:32:58, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0394, loss_cls: 0.1915, acc: 93.0007, loss_bbox: 0.2452, loss_mask: 0.2498, loss: 0.7504 2024-05-27 22:22:22,683 - mmdet - INFO - Epoch [7][6750/7330] lr: 1.000e-04, eta: 5:32:33, time: 0.566, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0376, loss_cls: 0.1963, acc: 92.9773, loss_bbox: 0.2420, loss_mask: 0.2428, loss: 0.7442 2024-05-27 22:22:48,496 - mmdet - INFO - Epoch [7][6800/7330] lr: 1.000e-04, eta: 5:32:05, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0367, loss_cls: 0.1893, acc: 93.2617, loss_bbox: 0.2356, loss_mask: 0.2374, loss: 0.7221 2024-05-27 22:23:14,321 - mmdet - INFO - Epoch [7][6850/7330] lr: 1.000e-04, eta: 5:31:38, time: 0.516, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0375, loss_cls: 0.1896, acc: 93.1409, loss_bbox: 0.2377, loss_mask: 0.2424, loss: 0.7303 2024-05-27 22:23:40,521 - mmdet - INFO - Epoch [7][6900/7330] lr: 1.000e-04, eta: 5:31:10, time: 0.524, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0390, loss_cls: 0.1940, acc: 93.0833, loss_bbox: 0.2445, loss_mask: 0.2364, loss: 0.7398 2024-05-27 22:24:06,600 - mmdet - INFO - Epoch [7][6950/7330] lr: 1.000e-04, eta: 5:30:43, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0422, loss_cls: 0.2004, acc: 92.9109, loss_bbox: 0.2497, loss_mask: 0.2521, loss: 0.7711 2024-05-27 22:24:32,506 - mmdet - INFO - Epoch [7][7000/7330] lr: 1.000e-04, eta: 5:30:16, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0379, loss_cls: 0.1908, acc: 93.0918, loss_bbox: 0.2440, loss_mask: 0.2438, loss: 0.7425 2024-05-27 22:24:58,833 - mmdet - INFO - Epoch [7][7050/7330] lr: 1.000e-04, eta: 5:29:49, time: 0.527, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0389, loss_cls: 0.1966, acc: 92.8486, loss_bbox: 0.2506, loss_mask: 0.2440, loss: 0.7546 2024-05-27 22:25:24,591 - mmdet - INFO - Epoch [7][7100/7330] lr: 1.000e-04, eta: 5:29:21, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0373, loss_cls: 0.1842, acc: 93.3262, loss_bbox: 0.2287, loss_mask: 0.2352, loss: 0.7096 2024-05-27 22:25:57,207 - mmdet - INFO - Epoch [7][7150/7330] lr: 1.000e-04, eta: 5:28:58, time: 0.652, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0369, loss_cls: 0.1907, acc: 93.1331, loss_bbox: 0.2412, loss_mask: 0.2414, loss: 0.7329 2024-05-27 22:26:25,484 - mmdet - INFO - Epoch [7][7200/7330] lr: 1.000e-04, eta: 5:28:33, time: 0.566, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0365, loss_cls: 0.1906, acc: 93.0391, loss_bbox: 0.2365, loss_mask: 0.2459, loss: 0.7341 2024-05-27 22:26:56,567 - mmdet - INFO - Epoch [7][7250/7330] lr: 1.000e-04, eta: 5:28:09, time: 0.622, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0364, loss_cls: 0.1852, acc: 93.3623, loss_bbox: 0.2314, loss_mask: 0.2379, loss: 0.7142 2024-05-27 22:27:22,935 - mmdet - INFO - Epoch [7][7300/7330] lr: 1.000e-04, eta: 5:27:42, time: 0.527, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0408, loss_cls: 0.1993, acc: 92.7688, loss_bbox: 0.2509, loss_mask: 0.2451, loss: 0.7608 2024-05-27 22:27:39,392 - mmdet - INFO - Saving checkpoint at 7 epochs 2024-05-27 22:29:26,081 - mmdet - INFO - Evaluating bbox... 2024-05-27 22:29:50,593 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.408 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.634 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.442 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.222 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.449 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.573 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.530 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.530 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.530 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.319 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.583 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.701 2024-05-27 22:29:50,594 - mmdet - INFO - Evaluating segm... 2024-05-27 22:30:19,727 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.367 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.599 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.385 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.156 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.400 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.582 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.478 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.478 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.478 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.256 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.673 2024-05-27 22:30:20,183 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 22:30:20,185 - mmdet - INFO - Epoch(val) [7][625] bbox_mAP: 0.4080, bbox_mAP_50: 0.6340, bbox_mAP_75: 0.4420, bbox_mAP_s: 0.2220, bbox_mAP_m: 0.4490, bbox_mAP_l: 0.5730, bbox_mAP_copypaste: 0.408 0.634 0.442 0.222 0.449 0.573, segm_mAP: 0.3670, segm_mAP_50: 0.5990, segm_mAP_75: 0.3850, segm_mAP_s: 0.1560, segm_mAP_m: 0.4000, segm_mAP_l: 0.5820, segm_mAP_copypaste: 0.367 0.599 0.385 0.156 0.400 0.582 2024-05-27 22:30:53,692 - mmdet - INFO - Epoch [8][50/7330] lr: 1.000e-04, eta: 5:26:52, time: 0.670, data_time: 0.080, memory: 6051, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0363, loss_cls: 0.1818, acc: 93.3313, loss_bbox: 0.2306, loss_mask: 0.2363, loss: 0.7071 2024-05-27 22:31:19,909 - mmdet - INFO - Epoch [8][100/7330] lr: 1.000e-04, eta: 5:26:25, time: 0.524, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0404, loss_cls: 0.1893, acc: 93.0930, loss_bbox: 0.2434, loss_mask: 0.2412, loss: 0.7363 2024-05-27 22:31:45,955 - mmdet - INFO - Epoch [8][150/7330] lr: 1.000e-04, eta: 5:25:58, time: 0.521, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0384, loss_cls: 0.1745, acc: 93.5149, loss_bbox: 0.2279, loss_mask: 0.2338, loss: 0.6956 2024-05-27 22:32:11,969 - mmdet - INFO - Epoch [8][200/7330] lr: 1.000e-04, eta: 5:25:30, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0397, loss_cls: 0.1893, acc: 93.1218, loss_bbox: 0.2464, loss_mask: 0.2428, loss: 0.7397 2024-05-27 22:32:37,814 - mmdet - INFO - Epoch [8][250/7330] lr: 1.000e-04, eta: 5:25:03, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0371, loss_cls: 0.1811, acc: 93.3396, loss_bbox: 0.2376, loss_mask: 0.2339, loss: 0.7107 2024-05-27 22:33:03,622 - mmdet - INFO - Epoch [8][300/7330] lr: 1.000e-04, eta: 5:24:35, time: 0.516, data_time: 0.014, memory: 6051, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0365, loss_cls: 0.1740, acc: 93.5349, loss_bbox: 0.2340, loss_mask: 0.2365, loss: 0.7032 2024-05-27 22:33:29,342 - mmdet - INFO - Epoch [8][350/7330] lr: 1.000e-04, eta: 5:24:08, time: 0.514, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0397, loss_cls: 0.1817, acc: 93.4290, loss_bbox: 0.2338, loss_mask: 0.2421, loss: 0.7202 2024-05-27 22:33:55,076 - mmdet - INFO - Epoch [8][400/7330] lr: 1.000e-04, eta: 5:23:40, time: 0.515, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0378, loss_cls: 0.1858, acc: 93.2896, loss_bbox: 0.2382, loss_mask: 0.2483, loss: 0.7327 2024-05-27 22:34:20,612 - mmdet - INFO - Epoch [8][450/7330] lr: 1.000e-04, eta: 5:23:13, time: 0.511, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0381, loss_cls: 0.1805, acc: 93.5046, loss_bbox: 0.2291, loss_mask: 0.2367, loss: 0.7066 2024-05-27 22:34:46,228 - mmdet - INFO - Epoch [8][500/7330] lr: 1.000e-04, eta: 5:22:45, time: 0.512, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0392, loss_cls: 0.1845, acc: 93.2087, loss_bbox: 0.2424, loss_mask: 0.2392, loss: 0.7291 2024-05-27 22:35:11,901 - mmdet - INFO - Epoch [8][550/7330] lr: 1.000e-04, eta: 5:22:18, time: 0.513, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0358, loss_cls: 0.1748, acc: 93.5471, loss_bbox: 0.2267, loss_mask: 0.2312, loss: 0.6903 2024-05-27 22:35:42,627 - mmdet - INFO - Epoch [8][600/7330] lr: 1.000e-04, eta: 5:21:53, time: 0.615, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0363, loss_cls: 0.1809, acc: 93.4214, loss_bbox: 0.2348, loss_mask: 0.2344, loss: 0.7094 2024-05-27 22:36:11,378 - mmdet - INFO - Epoch [8][650/7330] lr: 1.000e-04, eta: 5:21:28, time: 0.575, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0380, loss_cls: 0.1818, acc: 93.4360, loss_bbox: 0.2308, loss_mask: 0.2377, loss: 0.7100 2024-05-27 22:36:36,975 - mmdet - INFO - Epoch [8][700/7330] lr: 1.000e-04, eta: 5:21:00, time: 0.512, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0391, loss_cls: 0.1877, acc: 93.2034, loss_bbox: 0.2384, loss_mask: 0.2412, loss: 0.7292 2024-05-27 22:37:04,832 - mmdet - INFO - Epoch [8][750/7330] lr: 1.000e-04, eta: 5:20:34, time: 0.557, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0351, loss_cls: 0.1802, acc: 93.4312, loss_bbox: 0.2281, loss_mask: 0.2343, loss: 0.6995 2024-05-27 22:37:30,519 - mmdet - INFO - Epoch [8][800/7330] lr: 1.000e-04, eta: 5:20:07, time: 0.514, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0362, loss_cls: 0.1802, acc: 93.3459, loss_bbox: 0.2329, loss_mask: 0.2319, loss: 0.7035 2024-05-27 22:37:56,360 - mmdet - INFO - Epoch [8][850/7330] lr: 1.000e-04, eta: 5:19:39, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0387, loss_cls: 0.1883, acc: 93.0044, loss_bbox: 0.2441, loss_mask: 0.2402, loss: 0.7326 2024-05-27 22:38:26,769 - mmdet - INFO - Epoch [8][900/7330] lr: 1.000e-04, eta: 5:19:15, time: 0.608, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0375, loss_cls: 0.1811, acc: 93.3245, loss_bbox: 0.2367, loss_mask: 0.2401, loss: 0.7190 2024-05-27 22:38:55,028 - mmdet - INFO - Epoch [8][950/7330] lr: 1.000e-04, eta: 5:18:49, time: 0.565, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0362, loss_cls: 0.1722, acc: 93.6663, loss_bbox: 0.2269, loss_mask: 0.2334, loss: 0.6896 2024-05-27 22:39:20,851 - mmdet - INFO - Epoch [8][1000/7330] lr: 1.000e-04, eta: 5:18:22, time: 0.516, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0387, loss_cls: 0.1813, acc: 93.3298, loss_bbox: 0.2393, loss_mask: 0.2367, loss: 0.7179 2024-05-27 22:39:46,753 - mmdet - INFO - Epoch [8][1050/7330] lr: 1.000e-04, eta: 5:17:54, time: 0.518, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0377, loss_cls: 0.1790, acc: 93.4963, loss_bbox: 0.2303, loss_mask: 0.2355, loss: 0.7035 2024-05-27 22:40:12,875 - mmdet - INFO - Epoch [8][1100/7330] lr: 1.000e-04, eta: 5:17:27, time: 0.523, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0423, loss_cls: 0.1962, acc: 92.8169, loss_bbox: 0.2510, loss_mask: 0.2428, loss: 0.7583 2024-05-27 22:40:41,193 - mmdet - INFO - Epoch [8][1150/7330] lr: 1.000e-04, eta: 5:17:01, time: 0.566, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0382, loss_cls: 0.1799, acc: 93.4780, loss_bbox: 0.2335, loss_mask: 0.2359, loss: 0.7107 2024-05-27 22:41:07,015 - mmdet - INFO - Epoch [8][1200/7330] lr: 1.000e-04, eta: 5:16:34, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0378, loss_cls: 0.1754, acc: 93.5996, loss_bbox: 0.2272, loss_mask: 0.2387, loss: 0.7001 2024-05-27 22:41:33,062 - mmdet - INFO - Epoch [8][1250/7330] lr: 1.000e-04, eta: 5:16:07, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0370, loss_cls: 0.1773, acc: 93.5117, loss_bbox: 0.2296, loss_mask: 0.2348, loss: 0.7014 2024-05-27 22:41:59,297 - mmdet - INFO - Epoch [8][1300/7330] lr: 1.000e-04, eta: 5:15:40, time: 0.525, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0349, loss_cls: 0.1754, acc: 93.6067, loss_bbox: 0.2294, loss_mask: 0.2336, loss: 0.6962 2024-05-27 22:42:25,458 - mmdet - INFO - Epoch [8][1350/7330] lr: 1.000e-04, eta: 5:15:12, time: 0.523, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0376, loss_cls: 0.1839, acc: 93.3787, loss_bbox: 0.2368, loss_mask: 0.2375, loss: 0.7205 2024-05-27 22:42:51,483 - mmdet - INFO - Epoch [8][1400/7330] lr: 1.000e-04, eta: 5:14:45, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0367, loss_cls: 0.1792, acc: 93.3660, loss_bbox: 0.2381, loss_mask: 0.2364, loss: 0.7135 2024-05-27 22:43:17,435 - mmdet - INFO - Epoch [8][1450/7330] lr: 1.000e-04, eta: 5:14:18, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0364, loss_cls: 0.1828, acc: 93.4382, loss_bbox: 0.2345, loss_mask: 0.2346, loss: 0.7105 2024-05-27 22:43:49,875 - mmdet - INFO - Epoch [8][1500/7330] lr: 1.000e-04, eta: 5:13:55, time: 0.649, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0389, loss_cls: 0.1880, acc: 93.2412, loss_bbox: 0.2413, loss_mask: 0.2395, loss: 0.7322 2024-05-27 22:44:19,381 - mmdet - INFO - Epoch [8][1550/7330] lr: 1.000e-04, eta: 5:13:30, time: 0.590, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0363, loss_cls: 0.1824, acc: 93.4319, loss_bbox: 0.2333, loss_mask: 0.2340, loss: 0.7065 2024-05-27 22:44:45,472 - mmdet - INFO - Epoch [8][1600/7330] lr: 1.000e-04, eta: 5:13:02, time: 0.522, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0376, loss_cls: 0.1857, acc: 93.3093, loss_bbox: 0.2364, loss_mask: 0.2363, loss: 0.7182 2024-05-27 22:45:13,748 - mmdet - INFO - Epoch [8][1650/7330] lr: 1.000e-04, eta: 5:12:37, time: 0.566, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0370, loss_cls: 0.1829, acc: 93.3184, loss_bbox: 0.2389, loss_mask: 0.2355, loss: 0.7173 2024-05-27 22:45:39,766 - mmdet - INFO - Epoch [8][1700/7330] lr: 1.000e-04, eta: 5:12:09, time: 0.520, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0342, loss_cls: 0.1722, acc: 93.7043, loss_bbox: 0.2275, loss_mask: 0.2337, loss: 0.6885 2024-05-27 22:46:08,148 - mmdet - INFO - Epoch [8][1750/7330] lr: 1.000e-04, eta: 5:11:44, time: 0.568, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0398, loss_cls: 0.1923, acc: 93.0510, loss_bbox: 0.2399, loss_mask: 0.2423, loss: 0.7377 2024-05-27 22:46:39,154 - mmdet - INFO - Epoch [8][1800/7330] lr: 1.000e-04, eta: 5:11:20, time: 0.620, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0376, loss_cls: 0.1837, acc: 93.2988, loss_bbox: 0.2372, loss_mask: 0.2400, loss: 0.7239 2024-05-27 22:47:04,997 - mmdet - INFO - Epoch [8][1850/7330] lr: 1.000e-04, eta: 5:10:52, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0358, loss_cls: 0.1819, acc: 93.3589, loss_bbox: 0.2283, loss_mask: 0.2341, loss: 0.7025 2024-05-27 22:47:30,878 - mmdet - INFO - Epoch [8][1900/7330] lr: 1.000e-04, eta: 5:10:25, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0366, loss_cls: 0.1833, acc: 93.3794, loss_bbox: 0.2325, loss_mask: 0.2370, loss: 0.7131 2024-05-27 22:47:56,843 - mmdet - INFO - Epoch [8][1950/7330] lr: 1.000e-04, eta: 5:09:57, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0363, loss_cls: 0.1728, acc: 93.6445, loss_bbox: 0.2279, loss_mask: 0.2282, loss: 0.6871 2024-05-27 22:48:22,940 - mmdet - INFO - Epoch [8][2000/7330] lr: 1.000e-04, eta: 5:09:30, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0381, loss_cls: 0.1888, acc: 93.0901, loss_bbox: 0.2396, loss_mask: 0.2433, loss: 0.7336 2024-05-27 22:48:51,395 - mmdet - INFO - Epoch [8][2050/7330] lr: 1.000e-04, eta: 5:09:04, time: 0.569, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0373, loss_cls: 0.1790, acc: 93.4187, loss_bbox: 0.2300, loss_mask: 0.2341, loss: 0.7026 2024-05-27 22:49:17,290 - mmdet - INFO - Epoch [8][2100/7330] lr: 1.000e-04, eta: 5:08:37, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0374, loss_cls: 0.1785, acc: 93.5251, loss_bbox: 0.2282, loss_mask: 0.2322, loss: 0.7000 2024-05-27 22:49:43,313 - mmdet - INFO - Epoch [8][2150/7330] lr: 1.000e-04, eta: 5:08:10, time: 0.520, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0376, loss_cls: 0.1849, acc: 93.1572, loss_bbox: 0.2373, loss_mask: 0.2364, loss: 0.7192 2024-05-27 22:50:09,438 - mmdet - INFO - Epoch [8][2200/7330] lr: 1.000e-04, eta: 5:07:42, time: 0.523, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0390, loss_cls: 0.1790, acc: 93.3918, loss_bbox: 0.2361, loss_mask: 0.2377, loss: 0.7151 2024-05-27 22:50:35,234 - mmdet - INFO - Epoch [8][2250/7330] lr: 1.000e-04, eta: 5:07:15, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0379, loss_cls: 0.1808, acc: 93.3125, loss_bbox: 0.2347, loss_mask: 0.2352, loss: 0.7110 2024-05-27 22:51:01,417 - mmdet - INFO - Epoch [8][2300/7330] lr: 1.000e-04, eta: 5:06:48, time: 0.524, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0399, loss_cls: 0.1897, acc: 92.9856, loss_bbox: 0.2441, loss_mask: 0.2384, loss: 0.7361 2024-05-27 22:51:27,434 - mmdet - INFO - Epoch [8][2350/7330] lr: 1.000e-04, eta: 5:06:21, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0370, loss_cls: 0.1781, acc: 93.4966, loss_bbox: 0.2324, loss_mask: 0.2347, loss: 0.7031 2024-05-27 22:52:01,126 - mmdet - INFO - Epoch [8][2400/7330] lr: 1.000e-04, eta: 5:05:58, time: 0.673, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0397, loss_cls: 0.1884, acc: 93.1421, loss_bbox: 0.2395, loss_mask: 0.2366, loss: 0.7271 2024-05-27 22:52:27,223 - mmdet - INFO - Epoch [8][2450/7330] lr: 1.000e-04, eta: 5:05:31, time: 0.522, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0388, loss_cls: 0.1883, acc: 93.1602, loss_bbox: 0.2412, loss_mask: 0.2404, loss: 0.7306 2024-05-27 22:52:53,371 - mmdet - INFO - Epoch [8][2500/7330] lr: 1.000e-04, eta: 5:05:04, time: 0.523, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0378, loss_cls: 0.1863, acc: 93.2498, loss_bbox: 0.2373, loss_mask: 0.2371, loss: 0.7207 2024-05-27 22:53:21,641 - mmdet - INFO - Epoch [8][2550/7330] lr: 1.000e-04, eta: 5:04:38, time: 0.565, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0376, loss_cls: 0.1839, acc: 93.2324, loss_bbox: 0.2361, loss_mask: 0.2464, loss: 0.7263 2024-05-27 22:53:47,649 - mmdet - INFO - Epoch [8][2600/7330] lr: 1.000e-04, eta: 5:04:10, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0362, loss_cls: 0.1807, acc: 93.4758, loss_bbox: 0.2312, loss_mask: 0.2403, loss: 0.7104 2024-05-27 22:54:17,321 - mmdet - INFO - Epoch [8][2650/7330] lr: 1.000e-04, eta: 5:03:46, time: 0.593, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0375, loss_cls: 0.1838, acc: 93.3462, loss_bbox: 0.2353, loss_mask: 0.2384, loss: 0.7177 2024-05-27 22:54:50,068 - mmdet - INFO - Epoch [8][2700/7330] lr: 1.000e-04, eta: 5:03:22, time: 0.655, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0375, loss_cls: 0.1811, acc: 93.4358, loss_bbox: 0.2343, loss_mask: 0.2362, loss: 0.7130 2024-05-27 22:55:16,234 - mmdet - INFO - Epoch [8][2750/7330] lr: 1.000e-04, eta: 5:02:55, time: 0.524, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0369, loss_cls: 0.1791, acc: 93.4675, loss_bbox: 0.2291, loss_mask: 0.2296, loss: 0.6968 2024-05-27 22:55:42,246 - mmdet - INFO - Epoch [8][2800/7330] lr: 1.000e-04, eta: 5:02:28, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0363, loss_cls: 0.1769, acc: 93.6304, loss_bbox: 0.2276, loss_mask: 0.2350, loss: 0.6983 2024-05-27 22:56:08,307 - mmdet - INFO - Epoch [8][2850/7330] lr: 1.000e-04, eta: 5:02:01, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0378, loss_cls: 0.1839, acc: 93.1875, loss_bbox: 0.2372, loss_mask: 0.2381, loss: 0.7188 2024-05-27 22:56:34,472 - mmdet - INFO - Epoch [8][2900/7330] lr: 1.000e-04, eta: 5:01:33, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0373, loss_cls: 0.1781, acc: 93.4521, loss_bbox: 0.2338, loss_mask: 0.2355, loss: 0.7074 2024-05-27 22:57:02,768 - mmdet - INFO - Epoch [8][2950/7330] lr: 1.000e-04, eta: 5:01:08, time: 0.566, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0392, loss_cls: 0.1832, acc: 93.3369, loss_bbox: 0.2341, loss_mask: 0.2410, loss: 0.7207 2024-05-27 22:57:28,739 - mmdet - INFO - Epoch [8][3000/7330] lr: 1.000e-04, eta: 5:00:40, time: 0.519, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0390, loss_cls: 0.1913, acc: 93.0229, loss_bbox: 0.2441, loss_mask: 0.2409, loss: 0.7390 2024-05-27 22:57:54,802 - mmdet - INFO - Epoch [8][3050/7330] lr: 1.000e-04, eta: 5:00:13, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0393, loss_cls: 0.1817, acc: 93.3342, loss_bbox: 0.2390, loss_mask: 0.2441, loss: 0.7267 2024-05-27 22:58:21,276 - mmdet - INFO - Epoch [8][3100/7330] lr: 1.000e-04, eta: 4:59:46, time: 0.530, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0377, loss_cls: 0.1890, acc: 93.1340, loss_bbox: 0.2407, loss_mask: 0.2355, loss: 0.7254 2024-05-27 22:58:47,230 - mmdet - INFO - Epoch [8][3150/7330] lr: 1.000e-04, eta: 4:59:19, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0370, loss_cls: 0.1820, acc: 93.3823, loss_bbox: 0.2348, loss_mask: 0.2371, loss: 0.7138 2024-05-27 22:59:13,563 - mmdet - INFO - Epoch [8][3200/7330] lr: 1.000e-04, eta: 4:58:52, time: 0.526, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0376, loss_cls: 0.1844, acc: 93.2288, loss_bbox: 0.2406, loss_mask: 0.2397, loss: 0.7260 2024-05-27 22:59:42,613 - mmdet - INFO - Epoch [8][3250/7330] lr: 1.000e-04, eta: 4:58:26, time: 0.581, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0371, loss_cls: 0.1859, acc: 93.2156, loss_bbox: 0.2400, loss_mask: 0.2424, loss: 0.7277 2024-05-27 23:00:14,743 - mmdet - INFO - Epoch [8][3300/7330] lr: 1.000e-04, eta: 4:58:03, time: 0.643, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0372, loss_cls: 0.1761, acc: 93.5732, loss_bbox: 0.2280, loss_mask: 0.2394, loss: 0.7016 2024-05-27 23:00:40,790 - mmdet - INFO - Epoch [8][3350/7330] lr: 1.000e-04, eta: 4:57:35, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0369, loss_cls: 0.1919, acc: 93.0964, loss_bbox: 0.2428, loss_mask: 0.2396, loss: 0.7351 2024-05-27 23:01:06,917 - mmdet - INFO - Epoch [8][3400/7330] lr: 1.000e-04, eta: 4:57:08, time: 0.523, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0386, loss_cls: 0.1858, acc: 93.2046, loss_bbox: 0.2384, loss_mask: 0.2379, loss: 0.7241 2024-05-27 23:01:35,273 - mmdet - INFO - Epoch [8][3450/7330] lr: 1.000e-04, eta: 4:56:42, time: 0.567, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0389, loss_cls: 0.1871, acc: 93.0435, loss_bbox: 0.2433, loss_mask: 0.2410, loss: 0.7343 2024-05-27 23:02:01,202 - mmdet - INFO - Epoch [8][3500/7330] lr: 1.000e-04, eta: 4:56:15, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0348, loss_cls: 0.1744, acc: 93.5784, loss_bbox: 0.2263, loss_mask: 0.2342, loss: 0.6901 2024-05-27 23:02:29,677 - mmdet - INFO - Epoch [8][3550/7330] lr: 1.000e-04, eta: 4:55:49, time: 0.570, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0367, loss_cls: 0.1841, acc: 93.3508, loss_bbox: 0.2409, loss_mask: 0.2354, loss: 0.7209 2024-05-27 23:03:01,179 - mmdet - INFO - Epoch [8][3600/7330] lr: 1.000e-04, eta: 4:55:25, time: 0.630, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0400, loss_cls: 0.1893, acc: 93.1201, loss_bbox: 0.2418, loss_mask: 0.2430, loss: 0.7384 2024-05-27 23:03:27,311 - mmdet - INFO - Epoch [8][3650/7330] lr: 1.000e-04, eta: 4:54:58, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0384, loss_cls: 0.1918, acc: 93.0366, loss_bbox: 0.2372, loss_mask: 0.2332, loss: 0.7227 2024-05-27 23:03:53,428 - mmdet - INFO - Epoch [8][3700/7330] lr: 1.000e-04, eta: 4:54:31, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0348, loss_cls: 0.1768, acc: 93.5276, loss_bbox: 0.2277, loss_mask: 0.2358, loss: 0.6953 2024-05-27 23:04:19,670 - mmdet - INFO - Epoch [8][3750/7330] lr: 1.000e-04, eta: 4:54:03, time: 0.524, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0372, loss_cls: 0.1871, acc: 93.2004, loss_bbox: 0.2381, loss_mask: 0.2395, loss: 0.7237 2024-05-27 23:04:47,939 - mmdet - INFO - Epoch [8][3800/7330] lr: 1.000e-04, eta: 4:53:37, time: 0.566, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0383, loss_cls: 0.1851, acc: 93.2603, loss_bbox: 0.2393, loss_mask: 0.2431, loss: 0.7289 2024-05-27 23:05:14,231 - mmdet - INFO - Epoch [8][3850/7330] lr: 1.000e-04, eta: 4:53:10, time: 0.526, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0368, loss_cls: 0.1805, acc: 93.4790, loss_bbox: 0.2332, loss_mask: 0.2353, loss: 0.7093 2024-05-27 23:05:40,491 - mmdet - INFO - Epoch [8][3900/7330] lr: 1.000e-04, eta: 4:52:43, time: 0.525, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0417, loss_cls: 0.1973, acc: 92.8337, loss_bbox: 0.2491, loss_mask: 0.2410, loss: 0.7559 2024-05-27 23:06:06,394 - mmdet - INFO - Epoch [8][3950/7330] lr: 1.000e-04, eta: 4:52:16, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0361, loss_cls: 0.1797, acc: 93.4062, loss_bbox: 0.2336, loss_mask: 0.2383, loss: 0.7107 2024-05-27 23:06:32,613 - mmdet - INFO - Epoch [8][4000/7330] lr: 1.000e-04, eta: 4:51:49, time: 0.524, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0376, loss_cls: 0.1861, acc: 93.2319, loss_bbox: 0.2368, loss_mask: 0.2325, loss: 0.7154 2024-05-27 23:06:58,949 - mmdet - INFO - Epoch [8][4050/7330] lr: 1.000e-04, eta: 4:51:22, time: 0.527, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0372, loss_cls: 0.1854, acc: 93.2612, loss_bbox: 0.2358, loss_mask: 0.2392, loss: 0.7220 2024-05-27 23:07:25,113 - mmdet - INFO - Epoch [8][4100/7330] lr: 1.000e-04, eta: 4:50:54, time: 0.523, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0377, loss_cls: 0.1828, acc: 93.2847, loss_bbox: 0.2317, loss_mask: 0.2352, loss: 0.7105 2024-05-27 23:07:53,364 - mmdet - INFO - Epoch [8][4150/7330] lr: 1.000e-04, eta: 4:50:28, time: 0.565, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0377, loss_cls: 0.1883, acc: 93.1189, loss_bbox: 0.2415, loss_mask: 0.2379, loss: 0.7293 2024-05-27 23:08:24,650 - mmdet - INFO - Epoch [8][4200/7330] lr: 1.000e-04, eta: 4:50:04, time: 0.626, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0352, loss_cls: 0.1827, acc: 93.3691, loss_bbox: 0.2350, loss_mask: 0.2368, loss: 0.7107 2024-05-27 23:08:50,762 - mmdet - INFO - Epoch [8][4250/7330] lr: 1.000e-04, eta: 4:49:37, time: 0.522, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0411, loss_cls: 0.1872, acc: 93.1797, loss_bbox: 0.2397, loss_mask: 0.2382, loss: 0.7315 2024-05-27 23:09:16,952 - mmdet - INFO - Epoch [8][4300/7330] lr: 1.000e-04, eta: 4:49:10, time: 0.524, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0395, loss_cls: 0.1882, acc: 93.1365, loss_bbox: 0.2466, loss_mask: 0.2473, loss: 0.7477 2024-05-27 23:09:45,822 - mmdet - INFO - Epoch [8][4350/7330] lr: 1.000e-04, eta: 4:48:44, time: 0.577, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0368, loss_cls: 0.1834, acc: 93.2637, loss_bbox: 0.2291, loss_mask: 0.2340, loss: 0.7057 2024-05-27 23:10:12,110 - mmdet - INFO - Epoch [8][4400/7330] lr: 1.000e-04, eta: 4:48:17, time: 0.526, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0356, loss_cls: 0.1793, acc: 93.4780, loss_bbox: 0.2256, loss_mask: 0.2297, loss: 0.6911 2024-05-27 23:10:41,194 - mmdet - INFO - Epoch [8][4450/7330] lr: 1.000e-04, eta: 4:47:52, time: 0.582, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0365, loss_cls: 0.1785, acc: 93.4473, loss_bbox: 0.2292, loss_mask: 0.2345, loss: 0.7008 2024-05-27 23:11:11,815 - mmdet - INFO - Epoch [8][4500/7330] lr: 1.000e-04, eta: 4:47:27, time: 0.612, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0377, loss_cls: 0.1791, acc: 93.4771, loss_bbox: 0.2356, loss_mask: 0.2404, loss: 0.7155 2024-05-27 23:11:37,858 - mmdet - INFO - Epoch [8][4550/7330] lr: 1.000e-04, eta: 4:47:00, time: 0.521, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0353, loss_cls: 0.1767, acc: 93.6021, loss_bbox: 0.2298, loss_mask: 0.2383, loss: 0.7024 2024-05-27 23:12:03,788 - mmdet - INFO - Epoch [8][4600/7330] lr: 1.000e-04, eta: 4:46:32, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0368, loss_cls: 0.1834, acc: 93.3594, loss_bbox: 0.2372, loss_mask: 0.2435, loss: 0.7250 2024-05-27 23:12:30,071 - mmdet - INFO - Epoch [8][4650/7330] lr: 1.000e-04, eta: 4:46:05, time: 0.526, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0396, loss_cls: 0.1848, acc: 93.3535, loss_bbox: 0.2389, loss_mask: 0.2350, loss: 0.7218 2024-05-27 23:12:58,611 - mmdet - INFO - Epoch [8][4700/7330] lr: 1.000e-04, eta: 4:45:39, time: 0.571, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0366, loss_cls: 0.1860, acc: 93.2673, loss_bbox: 0.2386, loss_mask: 0.2339, loss: 0.7192 2024-05-27 23:13:24,913 - mmdet - INFO - Epoch [8][4750/7330] lr: 1.000e-04, eta: 4:45:12, time: 0.526, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0378, loss_cls: 0.1811, acc: 93.3687, loss_bbox: 0.2355, loss_mask: 0.2386, loss: 0.7145 2024-05-27 23:13:51,182 - mmdet - INFO - Epoch [8][4800/7330] lr: 1.000e-04, eta: 4:44:45, time: 0.526, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0393, loss_cls: 0.1877, acc: 93.2612, loss_bbox: 0.2364, loss_mask: 0.2411, loss: 0.7278 2024-05-27 23:14:22,779 - mmdet - INFO - Epoch [8][4850/7330] lr: 1.000e-04, eta: 4:44:21, time: 0.632, data_time: 0.130, memory: 6051, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0371, loss_cls: 0.1826, acc: 93.2849, loss_bbox: 0.2358, loss_mask: 0.2345, loss: 0.7130 2024-05-27 23:14:48,836 - mmdet - INFO - Epoch [8][4900/7330] lr: 1.000e-04, eta: 4:43:54, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0370, loss_cls: 0.1819, acc: 93.4172, loss_bbox: 0.2328, loss_mask: 0.2337, loss: 0.7072 2024-05-27 23:15:14,747 - mmdet - INFO - Epoch [8][4950/7330] lr: 1.000e-04, eta: 4:43:26, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0393, loss_cls: 0.1878, acc: 93.2170, loss_bbox: 0.2370, loss_mask: 0.2375, loss: 0.7259 2024-05-27 23:15:40,752 - mmdet - INFO - Epoch [8][5000/7330] lr: 1.000e-04, eta: 4:42:59, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0373, loss_cls: 0.1891, acc: 93.2310, loss_bbox: 0.2359, loss_mask: 0.2340, loss: 0.7186 2024-05-27 23:16:09,088 - mmdet - INFO - Epoch [8][5050/7330] lr: 1.000e-04, eta: 4:42:33, time: 0.567, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0366, loss_cls: 0.1884, acc: 93.1814, loss_bbox: 0.2346, loss_mask: 0.2396, loss: 0.7220 2024-05-27 23:16:40,176 - mmdet - INFO - Epoch [8][5100/7330] lr: 1.000e-04, eta: 4:42:09, time: 0.622, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0369, loss_cls: 0.1783, acc: 93.5613, loss_bbox: 0.2297, loss_mask: 0.2433, loss: 0.7121 2024-05-27 23:17:06,249 - mmdet - INFO - Epoch [8][5150/7330] lr: 1.000e-04, eta: 4:41:41, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0385, loss_cls: 0.1883, acc: 93.1450, loss_bbox: 0.2367, loss_mask: 0.2374, loss: 0.7259 2024-05-27 23:17:32,165 - mmdet - INFO - Epoch [8][5200/7330] lr: 1.000e-04, eta: 4:41:14, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0388, loss_cls: 0.1840, acc: 93.2444, loss_bbox: 0.2349, loss_mask: 0.2400, loss: 0.7203 2024-05-27 23:18:00,383 - mmdet - INFO - Epoch [8][5250/7330] lr: 1.000e-04, eta: 4:40:48, time: 0.564, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0376, loss_cls: 0.1794, acc: 93.5166, loss_bbox: 0.2330, loss_mask: 0.2370, loss: 0.7081 2024-05-27 23:18:26,239 - mmdet - INFO - Epoch [8][5300/7330] lr: 1.000e-04, eta: 4:40:21, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0400, loss_cls: 0.1904, acc: 93.0059, loss_bbox: 0.2424, loss_mask: 0.2417, loss: 0.7396 2024-05-27 23:18:54,814 - mmdet - INFO - Epoch [8][5350/7330] lr: 1.000e-04, eta: 4:39:55, time: 0.571, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0378, loss_cls: 0.1907, acc: 93.0759, loss_bbox: 0.2417, loss_mask: 0.2404, loss: 0.7352 2024-05-27 23:19:26,989 - mmdet - INFO - Epoch [8][5400/7330] lr: 1.000e-04, eta: 4:39:31, time: 0.643, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0376, loss_cls: 0.1847, acc: 93.3037, loss_bbox: 0.2359, loss_mask: 0.2368, loss: 0.7176 2024-05-27 23:19:53,132 - mmdet - INFO - Epoch [8][5450/7330] lr: 1.000e-04, eta: 4:39:04, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0366, loss_cls: 0.1879, acc: 93.1526, loss_bbox: 0.2403, loss_mask: 0.2362, loss: 0.7234 2024-05-27 23:20:19,234 - mmdet - INFO - Epoch [8][5500/7330] lr: 1.000e-04, eta: 4:38:36, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0397, loss_cls: 0.1826, acc: 93.3757, loss_bbox: 0.2341, loss_mask: 0.2339, loss: 0.7153 2024-05-27 23:20:45,277 - mmdet - INFO - Epoch [8][5550/7330] lr: 1.000e-04, eta: 4:38:09, time: 0.521, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0377, loss_cls: 0.1869, acc: 93.2646, loss_bbox: 0.2331, loss_mask: 0.2328, loss: 0.7139 2024-05-27 23:21:13,405 - mmdet - INFO - Epoch [8][5600/7330] lr: 1.000e-04, eta: 4:37:43, time: 0.563, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0355, loss_cls: 0.1831, acc: 93.2756, loss_bbox: 0.2356, loss_mask: 0.2309, loss: 0.7065 2024-05-27 23:21:39,393 - mmdet - INFO - Epoch [8][5650/7330] lr: 1.000e-04, eta: 4:37:16, time: 0.520, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0371, loss_cls: 0.1812, acc: 93.4141, loss_bbox: 0.2339, loss_mask: 0.2356, loss: 0.7097 2024-05-27 23:22:05,022 - mmdet - INFO - Epoch [8][5700/7330] lr: 1.000e-04, eta: 4:36:48, time: 0.513, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0356, loss_cls: 0.1817, acc: 93.3850, loss_bbox: 0.2291, loss_mask: 0.2371, loss: 0.7057 2024-05-27 23:22:31,028 - mmdet - INFO - Epoch [8][5750/7330] lr: 1.000e-04, eta: 4:36:21, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0385, loss_cls: 0.1818, acc: 93.4187, loss_bbox: 0.2310, loss_mask: 0.2374, loss: 0.7130 2024-05-27 23:22:56,919 - mmdet - INFO - Epoch [8][5800/7330] lr: 1.000e-04, eta: 4:35:54, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0394, loss_cls: 0.1930, acc: 92.9749, loss_bbox: 0.2485, loss_mask: 0.2453, loss: 0.7527 2024-05-27 23:23:22,788 - mmdet - INFO - Epoch [8][5850/7330] lr: 1.000e-04, eta: 4:35:26, time: 0.517, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0358, loss_cls: 0.1822, acc: 93.3572, loss_bbox: 0.2325, loss_mask: 0.2395, loss: 0.7129 2024-05-27 23:23:48,698 - mmdet - INFO - Epoch [8][5900/7330] lr: 1.000e-04, eta: 4:34:59, time: 0.518, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0390, loss_cls: 0.1863, acc: 93.2036, loss_bbox: 0.2413, loss_mask: 0.2418, loss: 0.7332 2024-05-27 23:24:19,789 - mmdet - INFO - Epoch [8][5950/7330] lr: 1.000e-04, eta: 4:34:34, time: 0.622, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0388, loss_cls: 0.1913, acc: 93.0300, loss_bbox: 0.2427, loss_mask: 0.2402, loss: 0.7375 2024-05-27 23:24:47,928 - mmdet - INFO - Epoch [8][6000/7330] lr: 1.000e-04, eta: 4:34:08, time: 0.563, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0376, loss_cls: 0.1839, acc: 93.3457, loss_bbox: 0.2324, loss_mask: 0.2381, loss: 0.7140 2024-05-27 23:25:14,204 - mmdet - INFO - Epoch [8][6050/7330] lr: 1.000e-04, eta: 4:33:41, time: 0.526, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0388, loss_cls: 0.1941, acc: 93.0134, loss_bbox: 0.2424, loss_mask: 0.2407, loss: 0.7394 2024-05-27 23:25:42,497 - mmdet - INFO - Epoch [8][6100/7330] lr: 1.000e-04, eta: 4:33:15, time: 0.566, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0375, loss_cls: 0.1900, acc: 93.1487, loss_bbox: 0.2389, loss_mask: 0.2383, loss: 0.7282 2024-05-27 23:26:08,344 - mmdet - INFO - Epoch [8][6150/7330] lr: 1.000e-04, eta: 4:32:48, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0341, loss_cls: 0.1801, acc: 93.4673, loss_bbox: 0.2313, loss_mask: 0.2404, loss: 0.7062 2024-05-27 23:26:34,325 - mmdet - INFO - Epoch [8][6200/7330] lr: 1.000e-04, eta: 4:32:20, time: 0.520, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0383, loss_cls: 0.1825, acc: 93.3445, loss_bbox: 0.2347, loss_mask: 0.2417, loss: 0.7202 2024-05-27 23:27:05,252 - mmdet - INFO - Epoch [8][6250/7330] lr: 1.000e-04, eta: 4:31:56, time: 0.619, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0360, loss_cls: 0.1806, acc: 93.5457, loss_bbox: 0.2310, loss_mask: 0.2391, loss: 0.7114 2024-05-27 23:27:33,548 - mmdet - INFO - Epoch [8][6300/7330] lr: 1.000e-04, eta: 4:31:30, time: 0.566, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0389, loss_cls: 0.1899, acc: 93.0134, loss_bbox: 0.2363, loss_mask: 0.2357, loss: 0.7239 2024-05-27 23:27:59,380 - mmdet - INFO - Epoch [8][6350/7330] lr: 1.000e-04, eta: 4:31:02, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0371, loss_cls: 0.1820, acc: 93.3323, loss_bbox: 0.2333, loss_mask: 0.2349, loss: 0.7087 2024-05-27 23:28:25,467 - mmdet - INFO - Epoch [8][6400/7330] lr: 1.000e-04, eta: 4:30:35, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0415, loss_cls: 0.1998, acc: 92.7117, loss_bbox: 0.2520, loss_mask: 0.2447, loss: 0.7640 2024-05-27 23:28:51,206 - mmdet - INFO - Epoch [8][6450/7330] lr: 1.000e-04, eta: 4:30:08, time: 0.515, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0387, loss_cls: 0.1853, acc: 93.2969, loss_bbox: 0.2378, loss_mask: 0.2412, loss: 0.7287 2024-05-27 23:29:20,415 - mmdet - INFO - Epoch [8][6500/7330] lr: 1.000e-04, eta: 4:29:42, time: 0.584, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0416, loss_cls: 0.1905, acc: 93.0120, loss_bbox: 0.2406, loss_mask: 0.2404, loss: 0.7401 2024-05-27 23:29:46,329 - mmdet - INFO - Epoch [8][6550/7330] lr: 1.000e-04, eta: 4:29:15, time: 0.518, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0374, loss_cls: 0.1789, acc: 93.5908, loss_bbox: 0.2284, loss_mask: 0.2346, loss: 0.7029 2024-05-27 23:30:12,473 - mmdet - INFO - Epoch [8][6600/7330] lr: 1.000e-04, eta: 4:28:48, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0419, loss_cls: 0.1958, acc: 92.9370, loss_bbox: 0.2421, loss_mask: 0.2479, loss: 0.7532 2024-05-27 23:30:38,393 - mmdet - INFO - Epoch [8][6650/7330] lr: 1.000e-04, eta: 4:28:20, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0348, loss_cls: 0.1801, acc: 93.4062, loss_bbox: 0.2297, loss_mask: 0.2333, loss: 0.6991 2024-05-27 23:31:04,242 - mmdet - INFO - Epoch [8][6700/7330] lr: 1.000e-04, eta: 4:27:53, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0351, loss_cls: 0.1771, acc: 93.5837, loss_bbox: 0.2233, loss_mask: 0.2372, loss: 0.6948 2024-05-27 23:31:30,360 - mmdet - INFO - Epoch [8][6750/7330] lr: 1.000e-04, eta: 4:27:26, time: 0.522, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0377, loss_cls: 0.1871, acc: 93.2292, loss_bbox: 0.2380, loss_mask: 0.2418, loss: 0.7283 2024-05-27 23:31:56,152 - mmdet - INFO - Epoch [8][6800/7330] lr: 1.000e-04, eta: 4:26:58, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0398, loss_cls: 0.1900, acc: 93.0735, loss_bbox: 0.2389, loss_mask: 0.2402, loss: 0.7323 2024-05-27 23:32:27,151 - mmdet - INFO - Epoch [8][6850/7330] lr: 1.000e-04, eta: 4:26:34, time: 0.620, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0379, loss_cls: 0.1926, acc: 92.9409, loss_bbox: 0.2422, loss_mask: 0.2361, loss: 0.7321 2024-05-27 23:32:55,503 - mmdet - INFO - Epoch [8][6900/7330] lr: 1.000e-04, eta: 4:26:08, time: 0.567, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0386, loss_cls: 0.1875, acc: 93.1792, loss_bbox: 0.2400, loss_mask: 0.2394, loss: 0.7288 2024-05-27 23:33:21,747 - mmdet - INFO - Epoch [8][6950/7330] lr: 1.000e-04, eta: 4:25:41, time: 0.525, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0373, loss_cls: 0.1838, acc: 93.3630, loss_bbox: 0.2310, loss_mask: 0.2358, loss: 0.7126 2024-05-27 23:33:49,877 - mmdet - INFO - Epoch [8][7000/7330] lr: 1.000e-04, eta: 4:25:14, time: 0.563, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0378, loss_cls: 0.1897, acc: 93.1184, loss_bbox: 0.2434, loss_mask: 0.2403, loss: 0.7345 2024-05-27 23:34:15,870 - mmdet - INFO - Epoch [8][7050/7330] lr: 1.000e-04, eta: 4:24:47, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0376, loss_cls: 0.1817, acc: 93.3748, loss_bbox: 0.2342, loss_mask: 0.2381, loss: 0.7152 2024-05-27 23:34:42,077 - mmdet - INFO - Epoch [8][7100/7330] lr: 1.000e-04, eta: 4:24:20, time: 0.524, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0389, loss_cls: 0.1918, acc: 93.1160, loss_bbox: 0.2393, loss_mask: 0.2382, loss: 0.7338 2024-05-27 23:35:15,145 - mmdet - INFO - Epoch [8][7150/7330] lr: 1.000e-04, eta: 4:23:56, time: 0.661, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0386, loss_cls: 0.1947, acc: 92.9778, loss_bbox: 0.2379, loss_mask: 0.2382, loss: 0.7336 2024-05-27 23:35:40,956 - mmdet - INFO - Epoch [8][7200/7330] lr: 1.000e-04, eta: 4:23:29, time: 0.516, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0393, loss_cls: 0.1853, acc: 93.3423, loss_bbox: 0.2349, loss_mask: 0.2331, loss: 0.7150 2024-05-27 23:36:06,985 - mmdet - INFO - Epoch [8][7250/7330] lr: 1.000e-04, eta: 4:23:02, time: 0.520, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0379, loss_cls: 0.1905, acc: 93.0454, loss_bbox: 0.2382, loss_mask: 0.2371, loss: 0.7291 2024-05-27 23:36:32,970 - mmdet - INFO - Epoch [8][7300/7330] lr: 1.000e-04, eta: 4:22:34, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0372, loss_cls: 0.1860, acc: 93.1411, loss_bbox: 0.2423, loss_mask: 0.2356, loss: 0.7229 2024-05-27 23:36:49,228 - mmdet - INFO - Saving checkpoint at 8 epochs 2024-05-27 23:38:36,943 - mmdet - INFO - Evaluating bbox... 2024-05-27 23:39:04,778 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.410 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.634 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.444 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.217 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.454 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.580 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.315 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.583 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.708 2024-05-27 23:39:04,778 - mmdet - INFO - Evaluating segm... 2024-05-27 23:39:31,265 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.371 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.601 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.391 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.154 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.409 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.588 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.479 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.479 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.479 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.252 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.533 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.679 2024-05-27 23:39:31,751 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-27 23:39:31,753 - mmdet - INFO - Epoch(val) [8][625] bbox_mAP: 0.4100, bbox_mAP_50: 0.6340, bbox_mAP_75: 0.4440, bbox_mAP_s: 0.2170, bbox_mAP_m: 0.4540, bbox_mAP_l: 0.5800, bbox_mAP_copypaste: 0.410 0.634 0.444 0.217 0.454 0.580, segm_mAP: 0.3710, segm_mAP_50: 0.6010, segm_mAP_75: 0.3910, segm_mAP_s: 0.1540, segm_mAP_m: 0.4090, segm_mAP_l: 0.5880, segm_mAP_copypaste: 0.371 0.601 0.391 0.154 0.409 0.588 2024-05-27 23:40:01,475 - mmdet - INFO - Epoch [9][50/7330] lr: 1.000e-05, eta: 4:21:45, time: 0.594, data_time: 0.083, memory: 6051, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0364, loss_cls: 0.1712, acc: 93.6096, loss_bbox: 0.2296, loss_mask: 0.2299, loss: 0.6879 2024-05-27 23:40:29,656 - mmdet - INFO - Epoch [9][100/7330] lr: 1.000e-05, eta: 4:21:19, time: 0.564, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0371, loss_cls: 0.1730, acc: 93.5911, loss_bbox: 0.2260, loss_mask: 0.2320, loss: 0.6890 2024-05-27 23:40:55,696 - mmdet - INFO - Epoch [9][150/7330] lr: 1.000e-05, eta: 4:20:51, time: 0.521, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0351, loss_cls: 0.1723, acc: 93.5818, loss_bbox: 0.2218, loss_mask: 0.2261, loss: 0.6743 2024-05-27 23:41:21,775 - mmdet - INFO - Epoch [9][200/7330] lr: 1.000e-05, eta: 4:20:24, time: 0.522, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0376, loss_cls: 0.1766, acc: 93.3413, loss_bbox: 0.2331, loss_mask: 0.2312, loss: 0.6991 2024-05-27 23:41:47,551 - mmdet - INFO - Epoch [9][250/7330] lr: 1.000e-05, eta: 4:19:57, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0366, loss_cls: 0.1706, acc: 93.5955, loss_bbox: 0.2241, loss_mask: 0.2278, loss: 0.6791 2024-05-27 23:42:15,703 - mmdet - INFO - Epoch [9][300/7330] lr: 1.000e-05, eta: 4:19:31, time: 0.563, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0339, loss_cls: 0.1707, acc: 93.6213, loss_bbox: 0.2264, loss_mask: 0.2261, loss: 0.6764 2024-05-27 23:42:41,434 - mmdet - INFO - Epoch [9][350/7330] lr: 1.000e-05, eta: 4:19:03, time: 0.514, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0379, loss_cls: 0.1689, acc: 93.7036, loss_bbox: 0.2240, loss_mask: 0.2293, loss: 0.6801 2024-05-27 23:43:09,440 - mmdet - INFO - Epoch [9][400/7330] lr: 1.000e-05, eta: 4:18:37, time: 0.560, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0347, loss_cls: 0.1656, acc: 93.8928, loss_bbox: 0.2202, loss_mask: 0.2257, loss: 0.6659 2024-05-27 23:43:37,381 - mmdet - INFO - Epoch [9][450/7330] lr: 1.000e-05, eta: 4:18:11, time: 0.559, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0367, loss_cls: 0.1678, acc: 93.8127, loss_bbox: 0.2222, loss_mask: 0.2266, loss: 0.6746 2024-05-27 23:44:03,078 - mmdet - INFO - Epoch [9][500/7330] lr: 1.000e-05, eta: 4:17:43, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0347, loss_cls: 0.1635, acc: 93.9248, loss_bbox: 0.2187, loss_mask: 0.2306, loss: 0.6686 2024-05-27 23:44:29,060 - mmdet - INFO - Epoch [9][550/7330] lr: 1.000e-05, eta: 4:17:16, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0346, loss_cls: 0.1697, acc: 93.6047, loss_bbox: 0.2282, loss_mask: 0.2327, loss: 0.6832 2024-05-27 23:44:54,689 - mmdet - INFO - Epoch [9][600/7330] lr: 1.000e-05, eta: 4:16:49, time: 0.513, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0353, loss_cls: 0.1585, acc: 94.0991, loss_bbox: 0.2167, loss_mask: 0.2263, loss: 0.6563 2024-05-27 23:45:20,290 - mmdet - INFO - Epoch [9][650/7330] lr: 1.000e-05, eta: 4:16:21, time: 0.512, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0365, loss_cls: 0.1711, acc: 93.5586, loss_bbox: 0.2261, loss_mask: 0.2354, loss: 0.6900 2024-05-27 23:45:46,100 - mmdet - INFO - Epoch [9][700/7330] lr: 1.000e-05, eta: 4:15:54, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0358, loss_cls: 0.1693, acc: 93.7100, loss_bbox: 0.2224, loss_mask: 0.2259, loss: 0.6727 2024-05-27 23:46:16,538 - mmdet - INFO - Epoch [9][750/7330] lr: 1.000e-05, eta: 4:15:29, time: 0.609, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0352, loss_cls: 0.1744, acc: 93.4817, loss_bbox: 0.2289, loss_mask: 0.2285, loss: 0.6870 2024-05-27 23:46:42,266 - mmdet - INFO - Epoch [9][800/7330] lr: 1.000e-05, eta: 4:15:02, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0355, loss_cls: 0.1689, acc: 93.7485, loss_bbox: 0.2167, loss_mask: 0.2226, loss: 0.6626 2024-05-27 23:47:10,403 - mmdet - INFO - Epoch [9][850/7330] lr: 1.000e-05, eta: 4:14:35, time: 0.563, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0363, loss_cls: 0.1690, acc: 93.7405, loss_bbox: 0.2238, loss_mask: 0.2301, loss: 0.6793 2024-05-27 23:47:38,393 - mmdet - INFO - Epoch [9][900/7330] lr: 1.000e-05, eta: 4:14:09, time: 0.560, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0331, loss_cls: 0.1596, acc: 94.0205, loss_bbox: 0.2080, loss_mask: 0.2175, loss: 0.6369 2024-05-27 23:48:03,916 - mmdet - INFO - Epoch [9][950/7330] lr: 1.000e-05, eta: 4:13:42, time: 0.510, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0360, loss_cls: 0.1678, acc: 93.7668, loss_bbox: 0.2216, loss_mask: 0.2281, loss: 0.6734 2024-05-27 23:48:31,866 - mmdet - INFO - Epoch [9][1000/7330] lr: 1.000e-05, eta: 4:13:15, time: 0.559, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0360, loss_cls: 0.1701, acc: 93.6619, loss_bbox: 0.2281, loss_mask: 0.2356, loss: 0.6893 2024-05-27 23:48:57,737 - mmdet - INFO - Epoch [9][1050/7330] lr: 1.000e-05, eta: 4:12:48, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0342, loss_cls: 0.1702, acc: 93.7166, loss_bbox: 0.2223, loss_mask: 0.2258, loss: 0.6725 2024-05-27 23:49:23,597 - mmdet - INFO - Epoch [9][1100/7330] lr: 1.000e-05, eta: 4:12:21, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0342, loss_cls: 0.1612, acc: 93.9595, loss_bbox: 0.2171, loss_mask: 0.2244, loss: 0.6546 2024-05-27 23:49:49,611 - mmdet - INFO - Epoch [9][1150/7330] lr: 1.000e-05, eta: 4:11:54, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0352, loss_cls: 0.1652, acc: 93.8855, loss_bbox: 0.2180, loss_mask: 0.2223, loss: 0.6598 2024-05-27 23:50:18,099 - mmdet - INFO - Epoch [9][1200/7330] lr: 1.000e-05, eta: 4:11:28, time: 0.570, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0350, loss_cls: 0.1711, acc: 93.6362, loss_bbox: 0.2239, loss_mask: 0.2307, loss: 0.6806 2024-05-27 23:50:44,067 - mmdet - INFO - Epoch [9][1250/7330] lr: 1.000e-05, eta: 4:11:00, time: 0.519, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0331, loss_cls: 0.1606, acc: 93.9302, loss_bbox: 0.2163, loss_mask: 0.2216, loss: 0.6494 2024-05-27 23:51:12,013 - mmdet - INFO - Epoch [9][1300/7330] lr: 1.000e-05, eta: 4:10:34, time: 0.559, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0343, loss_cls: 0.1613, acc: 93.9280, loss_bbox: 0.2188, loss_mask: 0.2263, loss: 0.6578 2024-05-27 23:51:39,940 - mmdet - INFO - Epoch [9][1350/7330] lr: 1.000e-05, eta: 4:10:08, time: 0.559, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0342, loss_cls: 0.1637, acc: 93.9412, loss_bbox: 0.2138, loss_mask: 0.2173, loss: 0.6469 2024-05-27 23:52:05,427 - mmdet - INFO - Epoch [9][1400/7330] lr: 1.000e-05, eta: 4:09:40, time: 0.510, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0354, loss_cls: 0.1599, acc: 93.9871, loss_bbox: 0.2140, loss_mask: 0.2308, loss: 0.6593 2024-05-27 23:52:31,127 - mmdet - INFO - Epoch [9][1450/7330] lr: 1.000e-05, eta: 4:09:13, time: 0.514, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0351, loss_cls: 0.1547, acc: 94.2036, loss_bbox: 0.2156, loss_mask: 0.2193, loss: 0.6412 2024-05-27 23:52:56,911 - mmdet - INFO - Epoch [9][1500/7330] lr: 1.000e-05, eta: 4:08:46, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0349, loss_cls: 0.1590, acc: 94.0549, loss_bbox: 0.2104, loss_mask: 0.2227, loss: 0.6450 2024-05-27 23:53:22,772 - mmdet - INFO - Epoch [9][1550/7330] lr: 1.000e-05, eta: 4:08:18, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0341, loss_cls: 0.1630, acc: 93.9170, loss_bbox: 0.2197, loss_mask: 0.2182, loss: 0.6529 2024-05-27 23:53:48,625 - mmdet - INFO - Epoch [9][1600/7330] lr: 1.000e-05, eta: 4:07:51, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0359, loss_cls: 0.1718, acc: 93.6428, loss_bbox: 0.2232, loss_mask: 0.2277, loss: 0.6803 2024-05-27 23:54:18,892 - mmdet - INFO - Epoch [9][1650/7330] lr: 1.000e-05, eta: 4:07:26, time: 0.605, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0363, loss_cls: 0.1703, acc: 93.6453, loss_bbox: 0.2236, loss_mask: 0.2269, loss: 0.6765 2024-05-27 23:54:44,576 - mmdet - INFO - Epoch [9][1700/7330] lr: 1.000e-05, eta: 4:06:58, time: 0.514, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0330, loss_cls: 0.1555, acc: 94.1416, loss_bbox: 0.2092, loss_mask: 0.2216, loss: 0.6373 2024-05-27 23:55:14,670 - mmdet - INFO - Epoch [9][1750/7330] lr: 1.000e-05, eta: 4:06:33, time: 0.602, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0352, loss_cls: 0.1642, acc: 93.9805, loss_bbox: 0.2197, loss_mask: 0.2263, loss: 0.6637 2024-05-27 23:55:40,600 - mmdet - INFO - Epoch [9][1800/7330] lr: 1.000e-05, eta: 4:06:06, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0330, loss_cls: 0.1624, acc: 93.9055, loss_bbox: 0.2155, loss_mask: 0.2265, loss: 0.6558 2024-05-27 23:56:06,544 - mmdet - INFO - Epoch [9][1850/7330] lr: 1.000e-05, eta: 4:05:39, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0363, loss_cls: 0.1644, acc: 93.8499, loss_bbox: 0.2197, loss_mask: 0.2217, loss: 0.6631 2024-05-27 23:56:34,449 - mmdet - INFO - Epoch [9][1900/7330] lr: 1.000e-05, eta: 4:05:12, time: 0.558, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0353, loss_cls: 0.1719, acc: 93.5845, loss_bbox: 0.2277, loss_mask: 0.2306, loss: 0.6842 2024-05-27 23:57:00,365 - mmdet - INFO - Epoch [9][1950/7330] lr: 1.000e-05, eta: 4:04:45, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0352, loss_cls: 0.1679, acc: 93.7236, loss_bbox: 0.2268, loss_mask: 0.2309, loss: 0.6789 2024-05-27 23:57:26,268 - mmdet - INFO - Epoch [9][2000/7330] lr: 1.000e-05, eta: 4:04:18, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0365, loss_cls: 0.1679, acc: 93.7937, loss_bbox: 0.2264, loss_mask: 0.2315, loss: 0.6813 2024-05-27 23:57:52,117 - mmdet - INFO - Epoch [9][2050/7330] lr: 1.000e-05, eta: 4:03:51, time: 0.517, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0308, loss_cls: 0.1546, acc: 94.1453, loss_bbox: 0.2063, loss_mask: 0.2235, loss: 0.6325 2024-05-27 23:58:21,561 - mmdet - INFO - Epoch [9][2100/7330] lr: 1.000e-05, eta: 4:03:25, time: 0.589, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0360, loss_cls: 0.1680, acc: 93.6709, loss_bbox: 0.2246, loss_mask: 0.2318, loss: 0.6806 2024-05-27 23:58:47,364 - mmdet - INFO - Epoch [9][2150/7330] lr: 1.000e-05, eta: 4:02:58, time: 0.516, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0327, loss_cls: 0.1538, acc: 94.1965, loss_bbox: 0.2105, loss_mask: 0.2237, loss: 0.6377 2024-05-27 23:59:15,396 - mmdet - INFO - Epoch [9][2200/7330] lr: 1.000e-05, eta: 4:02:31, time: 0.561, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0338, loss_cls: 0.1581, acc: 94.1360, loss_bbox: 0.2143, loss_mask: 0.2234, loss: 0.6469 2024-05-27 23:59:44,393 - mmdet - INFO - Epoch [9][2250/7330] lr: 1.000e-05, eta: 4:02:05, time: 0.580, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0349, loss_cls: 0.1661, acc: 93.7322, loss_bbox: 0.2223, loss_mask: 0.2295, loss: 0.6720 2024-05-28 00:00:10,489 - mmdet - INFO - Epoch [9][2300/7330] lr: 1.000e-05, eta: 4:01:38, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0355, loss_cls: 0.1650, acc: 93.7605, loss_bbox: 0.2228, loss_mask: 0.2257, loss: 0.6669 2024-05-28 00:00:36,336 - mmdet - INFO - Epoch [9][2350/7330] lr: 1.000e-05, eta: 4:01:11, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0334, loss_cls: 0.1588, acc: 94.0159, loss_bbox: 0.2134, loss_mask: 0.2248, loss: 0.6472 2024-05-28 00:01:02,306 - mmdet - INFO - Epoch [9][2400/7330] lr: 1.000e-05, eta: 4:00:44, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0361, loss_cls: 0.1654, acc: 93.8191, loss_bbox: 0.2227, loss_mask: 0.2309, loss: 0.6744 2024-05-28 00:01:28,240 - mmdet - INFO - Epoch [9][2450/7330] lr: 1.000e-05, eta: 4:00:17, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0365, loss_cls: 0.1653, acc: 93.7825, loss_bbox: 0.2200, loss_mask: 0.2255, loss: 0.6670 2024-05-28 00:01:53,971 - mmdet - INFO - Epoch [9][2500/7330] lr: 1.000e-05, eta: 3:59:49, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0345, loss_cls: 0.1613, acc: 94.0298, loss_bbox: 0.2142, loss_mask: 0.2240, loss: 0.6530 2024-05-28 00:02:24,292 - mmdet - INFO - Epoch [9][2550/7330] lr: 1.000e-05, eta: 3:59:24, time: 0.607, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0352, loss_cls: 0.1662, acc: 93.8066, loss_bbox: 0.2190, loss_mask: 0.2243, loss: 0.6639 2024-05-28 00:02:50,052 - mmdet - INFO - Epoch [9][2600/7330] lr: 1.000e-05, eta: 3:58:57, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0335, loss_cls: 0.1511, acc: 94.2930, loss_bbox: 0.2041, loss_mask: 0.2192, loss: 0.6257 2024-05-28 00:03:20,350 - mmdet - INFO - Epoch [9][2650/7330] lr: 1.000e-05, eta: 3:58:31, time: 0.606, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0333, loss_cls: 0.1545, acc: 94.2507, loss_bbox: 0.2025, loss_mask: 0.2154, loss: 0.6229 2024-05-28 00:03:46,315 - mmdet - INFO - Epoch [9][2700/7330] lr: 1.000e-05, eta: 3:58:04, time: 0.519, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0314, loss_cls: 0.1578, acc: 94.1682, loss_bbox: 0.2121, loss_mask: 0.2184, loss: 0.6378 2024-05-28 00:04:12,160 - mmdet - INFO - Epoch [9][2750/7330] lr: 1.000e-05, eta: 3:57:37, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0335, loss_cls: 0.1603, acc: 93.9922, loss_bbox: 0.2131, loss_mask: 0.2220, loss: 0.6481 2024-05-28 00:04:40,597 - mmdet - INFO - Epoch [9][2800/7330] lr: 1.000e-05, eta: 3:57:11, time: 0.569, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0389, loss_cls: 0.1756, acc: 93.4077, loss_bbox: 0.2357, loss_mask: 0.2325, loss: 0.7037 2024-05-28 00:05:06,390 - mmdet - INFO - Epoch [9][2850/7330] lr: 1.000e-05, eta: 3:56:43, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0332, loss_cls: 0.1613, acc: 93.9338, loss_bbox: 0.2153, loss_mask: 0.2224, loss: 0.6492 2024-05-28 00:05:32,135 - mmdet - INFO - Epoch [9][2900/7330] lr: 1.000e-05, eta: 3:56:16, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0342, loss_cls: 0.1605, acc: 94.0535, loss_bbox: 0.2144, loss_mask: 0.2211, loss: 0.6481 2024-05-28 00:05:57,882 - mmdet - INFO - Epoch [9][2950/7330] lr: 1.000e-05, eta: 3:55:49, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0366, loss_cls: 0.1646, acc: 93.8276, loss_bbox: 0.2187, loss_mask: 0.2293, loss: 0.6695 2024-05-28 00:06:26,421 - mmdet - INFO - Epoch [9][3000/7330] lr: 1.000e-05, eta: 3:55:23, time: 0.571, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0353, loss_cls: 0.1649, acc: 93.8433, loss_bbox: 0.2188, loss_mask: 0.2237, loss: 0.6626 2024-05-28 00:06:54,810 - mmdet - INFO - Epoch [9][3050/7330] lr: 1.000e-05, eta: 3:54:57, time: 0.567, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0353, loss_cls: 0.1625, acc: 93.9807, loss_bbox: 0.2168, loss_mask: 0.2227, loss: 0.6555 2024-05-28 00:07:24,379 - mmdet - INFO - Epoch [9][3100/7330] lr: 1.000e-05, eta: 3:54:31, time: 0.591, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0357, loss_cls: 0.1590, acc: 94.1184, loss_bbox: 0.2154, loss_mask: 0.2231, loss: 0.6514 2024-05-28 00:07:50,269 - mmdet - INFO - Epoch [9][3150/7330] lr: 1.000e-05, eta: 3:54:04, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0361, loss_cls: 0.1668, acc: 93.6909, loss_bbox: 0.2230, loss_mask: 0.2249, loss: 0.6694 2024-05-28 00:08:16,278 - mmdet - INFO - Epoch [9][3200/7330] lr: 1.000e-05, eta: 3:53:37, time: 0.520, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0357, loss_cls: 0.1671, acc: 93.8660, loss_bbox: 0.2193, loss_mask: 0.2238, loss: 0.6657 2024-05-28 00:08:42,061 - mmdet - INFO - Epoch [9][3250/7330] lr: 1.000e-05, eta: 3:53:09, time: 0.516, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0341, loss_cls: 0.1602, acc: 94.0967, loss_bbox: 0.2077, loss_mask: 0.2147, loss: 0.6339 2024-05-28 00:09:07,858 - mmdet - INFO - Epoch [9][3300/7330] lr: 1.000e-05, eta: 3:52:42, time: 0.516, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0328, loss_cls: 0.1585, acc: 94.0447, loss_bbox: 0.2096, loss_mask: 0.2203, loss: 0.6410 2024-05-28 00:09:33,614 - mmdet - INFO - Epoch [9][3350/7330] lr: 1.000e-05, eta: 3:52:15, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0351, loss_cls: 0.1647, acc: 93.8662, loss_bbox: 0.2149, loss_mask: 0.2270, loss: 0.6599 2024-05-28 00:10:04,450 - mmdet - INFO - Epoch [9][3400/7330] lr: 1.000e-05, eta: 3:51:50, time: 0.617, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0342, loss_cls: 0.1583, acc: 94.0461, loss_bbox: 0.2137, loss_mask: 0.2189, loss: 0.6429 2024-05-28 00:10:30,406 - mmdet - INFO - Epoch [9][3450/7330] lr: 1.000e-05, eta: 3:51:22, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0343, loss_cls: 0.1622, acc: 93.9033, loss_bbox: 0.2142, loss_mask: 0.2232, loss: 0.6540 2024-05-28 00:10:58,337 - mmdet - INFO - Epoch [9][3500/7330] lr: 1.000e-05, eta: 3:50:56, time: 0.559, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0333, loss_cls: 0.1555, acc: 94.2131, loss_bbox: 0.2090, loss_mask: 0.2202, loss: 0.6356 2024-05-28 00:11:26,762 - mmdet - INFO - Epoch [9][3550/7330] lr: 1.000e-05, eta: 3:50:30, time: 0.568, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0343, loss_cls: 0.1601, acc: 94.0110, loss_bbox: 0.2166, loss_mask: 0.2243, loss: 0.6531 2024-05-28 00:11:52,816 - mmdet - INFO - Epoch [9][3600/7330] lr: 1.000e-05, eta: 3:50:03, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0347, loss_cls: 0.1609, acc: 93.9644, loss_bbox: 0.2172, loss_mask: 0.2242, loss: 0.6551 2024-05-28 00:12:21,433 - mmdet - INFO - Epoch [9][3650/7330] lr: 1.000e-05, eta: 3:49:37, time: 0.572, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0352, loss_cls: 0.1565, acc: 94.1106, loss_bbox: 0.2187, loss_mask: 0.2262, loss: 0.6542 2024-05-28 00:12:47,280 - mmdet - INFO - Epoch [9][3700/7330] lr: 1.000e-05, eta: 3:49:09, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0347, loss_cls: 0.1526, acc: 94.1960, loss_bbox: 0.2127, loss_mask: 0.2222, loss: 0.6396 2024-05-28 00:13:13,075 - mmdet - INFO - Epoch [9][3750/7330] lr: 1.000e-05, eta: 3:48:42, time: 0.516, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0356, loss_cls: 0.1636, acc: 93.8020, loss_bbox: 0.2162, loss_mask: 0.2263, loss: 0.6598 2024-05-28 00:13:38,927 - mmdet - INFO - Epoch [9][3800/7330] lr: 1.000e-05, eta: 3:48:15, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0335, loss_cls: 0.1557, acc: 94.0859, loss_bbox: 0.2104, loss_mask: 0.2200, loss: 0.6370 2024-05-28 00:14:08,176 - mmdet - INFO - Epoch [9][3850/7330] lr: 1.000e-05, eta: 3:47:49, time: 0.585, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0335, loss_cls: 0.1529, acc: 94.3564, loss_bbox: 0.2030, loss_mask: 0.2194, loss: 0.6267 2024-05-28 00:14:34,128 - mmdet - INFO - Epoch [9][3900/7330] lr: 1.000e-05, eta: 3:47:22, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0330, loss_cls: 0.1611, acc: 93.9797, loss_bbox: 0.2153, loss_mask: 0.2164, loss: 0.6425 2024-05-28 00:15:02,616 - mmdet - INFO - Epoch [9][3950/7330] lr: 1.000e-05, eta: 3:46:56, time: 0.570, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0369, loss_cls: 0.1631, acc: 93.8225, loss_bbox: 0.2211, loss_mask: 0.2224, loss: 0.6638 2024-05-28 00:15:31,343 - mmdet - INFO - Epoch [9][4000/7330] lr: 1.000e-05, eta: 3:46:30, time: 0.575, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0334, loss_cls: 0.1583, acc: 94.0527, loss_bbox: 0.2156, loss_mask: 0.2264, loss: 0.6507 2024-05-28 00:15:57,264 - mmdet - INFO - Epoch [9][4050/7330] lr: 1.000e-05, eta: 3:46:02, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0352, loss_cls: 0.1614, acc: 93.8843, loss_bbox: 0.2152, loss_mask: 0.2236, loss: 0.6536 2024-05-28 00:16:23,254 - mmdet - INFO - Epoch [9][4100/7330] lr: 1.000e-05, eta: 3:45:35, time: 0.520, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0346, loss_cls: 0.1581, acc: 94.1370, loss_bbox: 0.2104, loss_mask: 0.2223, loss: 0.6439 2024-05-28 00:16:49,051 - mmdet - INFO - Epoch [9][4150/7330] lr: 1.000e-05, eta: 3:45:08, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0307, loss_cls: 0.1499, acc: 94.3740, loss_bbox: 0.2036, loss_mask: 0.2203, loss: 0.6192 2024-05-28 00:17:14,944 - mmdet - INFO - Epoch [9][4200/7330] lr: 1.000e-05, eta: 3:44:41, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0365, loss_cls: 0.1632, acc: 93.8027, loss_bbox: 0.2199, loss_mask: 0.2229, loss: 0.6625 2024-05-28 00:17:40,655 - mmdet - INFO - Epoch [9][4250/7330] lr: 1.000e-05, eta: 3:44:13, time: 0.514, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0339, loss_cls: 0.1570, acc: 94.0901, loss_bbox: 0.2157, loss_mask: 0.2247, loss: 0.6485 2024-05-28 00:18:11,174 - mmdet - INFO - Epoch [9][4300/7330] lr: 1.000e-05, eta: 3:43:48, time: 0.610, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0337, loss_cls: 0.1646, acc: 93.7966, loss_bbox: 0.2220, loss_mask: 0.2302, loss: 0.6686 2024-05-28 00:18:37,213 - mmdet - INFO - Epoch [9][4350/7330] lr: 1.000e-05, eta: 3:43:21, time: 0.521, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0335, loss_cls: 0.1570, acc: 94.1089, loss_bbox: 0.2153, loss_mask: 0.2236, loss: 0.6471 2024-05-28 00:19:05,113 - mmdet - INFO - Epoch [9][4400/7330] lr: 1.000e-05, eta: 3:42:54, time: 0.558, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0345, loss_cls: 0.1641, acc: 93.7986, loss_bbox: 0.2209, loss_mask: 0.2265, loss: 0.6642 2024-05-28 00:19:33,529 - mmdet - INFO - Epoch [9][4450/7330] lr: 1.000e-05, eta: 3:42:28, time: 0.568, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0348, loss_cls: 0.1666, acc: 93.8052, loss_bbox: 0.2245, loss_mask: 0.2261, loss: 0.6696 2024-05-28 00:19:59,590 - mmdet - INFO - Epoch [9][4500/7330] lr: 1.000e-05, eta: 3:42:01, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0324, loss_cls: 0.1537, acc: 94.2471, loss_bbox: 0.2065, loss_mask: 0.2196, loss: 0.6290 2024-05-28 00:20:28,264 - mmdet - INFO - Epoch [9][4550/7330] lr: 1.000e-05, eta: 3:41:35, time: 0.573, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0344, loss_cls: 0.1672, acc: 93.7134, loss_bbox: 0.2214, loss_mask: 0.2241, loss: 0.6659 2024-05-28 00:20:54,423 - mmdet - INFO - Epoch [9][4600/7330] lr: 1.000e-05, eta: 3:41:08, time: 0.523, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0339, loss_cls: 0.1590, acc: 94.0977, loss_bbox: 0.2167, loss_mask: 0.2247, loss: 0.6534 2024-05-28 00:21:20,340 - mmdet - INFO - Epoch [9][4650/7330] lr: 1.000e-05, eta: 3:40:41, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0343, loss_cls: 0.1603, acc: 94.0547, loss_bbox: 0.2122, loss_mask: 0.2234, loss: 0.6483 2024-05-28 00:21:46,226 - mmdet - INFO - Epoch [9][4700/7330] lr: 1.000e-05, eta: 3:40:14, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0333, loss_cls: 0.1597, acc: 93.9434, loss_bbox: 0.2154, loss_mask: 0.2256, loss: 0.6516 2024-05-28 00:22:15,546 - mmdet - INFO - Epoch [9][4750/7330] lr: 1.000e-05, eta: 3:39:48, time: 0.587, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0356, loss_cls: 0.1555, acc: 94.1467, loss_bbox: 0.2121, loss_mask: 0.2233, loss: 0.6455 2024-05-28 00:22:41,525 - mmdet - INFO - Epoch [9][4800/7330] lr: 1.000e-05, eta: 3:39:20, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0366, loss_cls: 0.1684, acc: 93.6292, loss_bbox: 0.2240, loss_mask: 0.2252, loss: 0.6736 2024-05-28 00:23:09,688 - mmdet - INFO - Epoch [9][4850/7330] lr: 1.000e-05, eta: 3:38:54, time: 0.563, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0333, loss_cls: 0.1544, acc: 94.1416, loss_bbox: 0.2092, loss_mask: 0.2212, loss: 0.6360 2024-05-28 00:23:37,879 - mmdet - INFO - Epoch [9][4900/7330] lr: 1.000e-05, eta: 3:38:28, time: 0.564, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0348, loss_cls: 0.1601, acc: 94.0227, loss_bbox: 0.2099, loss_mask: 0.2246, loss: 0.6484 2024-05-28 00:24:03,582 - mmdet - INFO - Epoch [9][4950/7330] lr: 1.000e-05, eta: 3:38:01, time: 0.514, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0344, loss_cls: 0.1627, acc: 93.9651, loss_bbox: 0.2163, loss_mask: 0.2247, loss: 0.6577 2024-05-28 00:24:29,567 - mmdet - INFO - Epoch [9][5000/7330] lr: 1.000e-05, eta: 3:37:33, time: 0.520, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0371, loss_cls: 0.1651, acc: 93.7952, loss_bbox: 0.2252, loss_mask: 0.2289, loss: 0.6745 2024-05-28 00:24:55,669 - mmdet - INFO - Epoch [9][5050/7330] lr: 1.000e-05, eta: 3:37:06, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0350, loss_cls: 0.1601, acc: 93.9595, loss_bbox: 0.2175, loss_mask: 0.2200, loss: 0.6521 2024-05-28 00:25:21,733 - mmdet - INFO - Epoch [9][5100/7330] lr: 1.000e-05, eta: 3:36:39, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0314, loss_cls: 0.1503, acc: 94.3921, loss_bbox: 0.2046, loss_mask: 0.2153, loss: 0.6182 2024-05-28 00:25:47,801 - mmdet - INFO - Epoch [9][5150/7330] lr: 1.000e-05, eta: 3:36:12, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0355, loss_cls: 0.1628, acc: 93.8904, loss_bbox: 0.2202, loss_mask: 0.2280, loss: 0.6656 2024-05-28 00:26:19,819 - mmdet - INFO - Epoch [9][5200/7330] lr: 1.000e-05, eta: 3:35:47, time: 0.640, data_time: 0.045, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0326, loss_cls: 0.1520, acc: 94.2234, loss_bbox: 0.2130, loss_mask: 0.2214, loss: 0.6368 2024-05-28 00:26:45,730 - mmdet - INFO - Epoch [9][5250/7330] lr: 1.000e-05, eta: 3:35:20, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0343, loss_cls: 0.1593, acc: 94.0310, loss_bbox: 0.2147, loss_mask: 0.2240, loss: 0.6513 2024-05-28 00:27:17,153 - mmdet - INFO - Epoch [9][5300/7330] lr: 1.000e-05, eta: 3:34:55, time: 0.628, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0366, loss_cls: 0.1651, acc: 93.8477, loss_bbox: 0.2216, loss_mask: 0.2254, loss: 0.6691 2024-05-28 00:27:43,282 - mmdet - INFO - Epoch [9][5350/7330] lr: 1.000e-05, eta: 3:34:28, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0350, loss_cls: 0.1579, acc: 94.0625, loss_bbox: 0.2145, loss_mask: 0.2210, loss: 0.6470 2024-05-28 00:28:09,443 - mmdet - INFO - Epoch [9][5400/7330] lr: 1.000e-05, eta: 3:34:01, time: 0.523, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0350, loss_cls: 0.1603, acc: 93.9556, loss_bbox: 0.2204, loss_mask: 0.2234, loss: 0.6581 2024-05-28 00:28:38,258 - mmdet - INFO - Epoch [9][5450/7330] lr: 1.000e-05, eta: 3:33:35, time: 0.576, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0364, loss_cls: 0.1636, acc: 93.8264, loss_bbox: 0.2235, loss_mask: 0.2242, loss: 0.6662 2024-05-28 00:29:04,303 - mmdet - INFO - Epoch [9][5500/7330] lr: 1.000e-05, eta: 3:33:07, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0328, loss_cls: 0.1513, acc: 94.3164, loss_bbox: 0.2032, loss_mask: 0.2194, loss: 0.6228 2024-05-28 00:29:30,618 - mmdet - INFO - Epoch [9][5550/7330] lr: 1.000e-05, eta: 3:32:40, time: 0.526, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0361, loss_cls: 0.1624, acc: 93.8889, loss_bbox: 0.2157, loss_mask: 0.2259, loss: 0.6586 2024-05-28 00:29:56,800 - mmdet - INFO - Epoch [9][5600/7330] lr: 1.000e-05, eta: 3:32:13, time: 0.524, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0337, loss_cls: 0.1593, acc: 93.9541, loss_bbox: 0.2184, loss_mask: 0.2215, loss: 0.6522 2024-05-28 00:30:25,048 - mmdet - INFO - Epoch [9][5650/7330] lr: 1.000e-05, eta: 3:31:47, time: 0.565, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0340, loss_cls: 0.1615, acc: 93.9226, loss_bbox: 0.2186, loss_mask: 0.2259, loss: 0.6583 2024-05-28 00:30:51,103 - mmdet - INFO - Epoch [9][5700/7330] lr: 1.000e-05, eta: 3:31:20, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0342, loss_cls: 0.1571, acc: 94.0151, loss_bbox: 0.2143, loss_mask: 0.2264, loss: 0.6492 2024-05-28 00:31:19,190 - mmdet - INFO - Epoch [9][5750/7330] lr: 1.000e-05, eta: 3:30:53, time: 0.562, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0324, loss_cls: 0.1636, acc: 93.8748, loss_bbox: 0.2203, loss_mask: 0.2220, loss: 0.6577 2024-05-28 00:31:47,915 - mmdet - INFO - Epoch [9][5800/7330] lr: 1.000e-05, eta: 3:30:27, time: 0.575, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0320, loss_cls: 0.1555, acc: 94.1436, loss_bbox: 0.2073, loss_mask: 0.2144, loss: 0.6260 2024-05-28 00:32:13,820 - mmdet - INFO - Epoch [9][5850/7330] lr: 1.000e-05, eta: 3:30:00, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0316, loss_cls: 0.1525, acc: 94.2153, loss_bbox: 0.2067, loss_mask: 0.2170, loss: 0.6233 2024-05-28 00:32:40,332 - mmdet - INFO - Epoch [9][5900/7330] lr: 1.000e-05, eta: 3:29:33, time: 0.530, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0364, loss_cls: 0.1730, acc: 93.3862, loss_bbox: 0.2348, loss_mask: 0.2335, loss: 0.6982 2024-05-28 00:33:06,620 - mmdet - INFO - Epoch [9][5950/7330] lr: 1.000e-05, eta: 3:29:06, time: 0.526, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0329, loss_cls: 0.1560, acc: 94.1277, loss_bbox: 0.2112, loss_mask: 0.2170, loss: 0.6341 2024-05-28 00:33:32,422 - mmdet - INFO - Epoch [9][6000/7330] lr: 1.000e-05, eta: 3:28:39, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0329, loss_cls: 0.1552, acc: 94.1218, loss_bbox: 0.2105, loss_mask: 0.2238, loss: 0.6396 2024-05-28 00:33:58,421 - mmdet - INFO - Epoch [9][6050/7330] lr: 1.000e-05, eta: 3:28:12, time: 0.520, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0335, loss_cls: 0.1562, acc: 94.0908, loss_bbox: 0.2086, loss_mask: 0.2207, loss: 0.6371 2024-05-28 00:34:29,141 - mmdet - INFO - Epoch [9][6100/7330] lr: 1.000e-05, eta: 3:27:46, time: 0.614, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0327, loss_cls: 0.1604, acc: 94.0286, loss_bbox: 0.2144, loss_mask: 0.2213, loss: 0.6469 2024-05-28 00:34:55,216 - mmdet - INFO - Epoch [9][6150/7330] lr: 1.000e-05, eta: 3:27:19, time: 0.522, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0341, loss_cls: 0.1638, acc: 93.8867, loss_bbox: 0.2164, loss_mask: 0.2252, loss: 0.6583 2024-05-28 00:35:26,453 - mmdet - INFO - Epoch [9][6200/7330] lr: 1.000e-05, eta: 3:26:54, time: 0.624, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0331, loss_cls: 0.1604, acc: 93.9517, loss_bbox: 0.2181, loss_mask: 0.2253, loss: 0.6526 2024-05-28 00:35:52,444 - mmdet - INFO - Epoch [9][6250/7330] lr: 1.000e-05, eta: 3:26:27, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0335, loss_cls: 0.1525, acc: 94.2603, loss_bbox: 0.2063, loss_mask: 0.2186, loss: 0.6270 2024-05-28 00:36:18,570 - mmdet - INFO - Epoch [9][6300/7330] lr: 1.000e-05, eta: 3:26:00, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0331, loss_cls: 0.1614, acc: 93.9548, loss_bbox: 0.2184, loss_mask: 0.2227, loss: 0.6537 2024-05-28 00:36:46,938 - mmdet - INFO - Epoch [9][6350/7330] lr: 1.000e-05, eta: 3:25:33, time: 0.567, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0354, loss_cls: 0.1636, acc: 93.7385, loss_bbox: 0.2237, loss_mask: 0.2250, loss: 0.6664 2024-05-28 00:37:13,069 - mmdet - INFO - Epoch [9][6400/7330] lr: 1.000e-05, eta: 3:25:06, time: 0.523, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0363, loss_cls: 0.1706, acc: 93.6150, loss_bbox: 0.2231, loss_mask: 0.2274, loss: 0.6774 2024-05-28 00:37:39,022 - mmdet - INFO - Epoch [9][6450/7330] lr: 1.000e-05, eta: 3:24:39, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0337, loss_cls: 0.1632, acc: 93.8909, loss_bbox: 0.2198, loss_mask: 0.2249, loss: 0.6596 2024-05-28 00:38:05,095 - mmdet - INFO - Epoch [9][6500/7330] lr: 1.000e-05, eta: 3:24:12, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0356, loss_cls: 0.1612, acc: 93.9202, loss_bbox: 0.2167, loss_mask: 0.2257, loss: 0.6590 2024-05-28 00:38:33,841 - mmdet - INFO - Epoch [9][6550/7330] lr: 1.000e-05, eta: 3:23:46, time: 0.575, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0340, loss_cls: 0.1618, acc: 93.9700, loss_bbox: 0.2160, loss_mask: 0.2211, loss: 0.6504 2024-05-28 00:39:02,399 - mmdet - INFO - Epoch [9][6600/7330] lr: 1.000e-05, eta: 3:23:19, time: 0.571, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0341, loss_cls: 0.1678, acc: 93.7129, loss_bbox: 0.2220, loss_mask: 0.2214, loss: 0.6640 2024-05-28 00:39:30,906 - mmdet - INFO - Epoch [9][6650/7330] lr: 1.000e-05, eta: 3:22:53, time: 0.570, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0338, loss_cls: 0.1553, acc: 94.1909, loss_bbox: 0.2100, loss_mask: 0.2183, loss: 0.6349 2024-05-28 00:39:56,919 - mmdet - INFO - Epoch [9][6700/7330] lr: 1.000e-05, eta: 3:22:26, time: 0.520, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0331, loss_cls: 0.1568, acc: 94.1562, loss_bbox: 0.2096, loss_mask: 0.2196, loss: 0.6369 2024-05-28 00:40:23,029 - mmdet - INFO - Epoch [9][6750/7330] lr: 1.000e-05, eta: 3:21:59, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0326, loss_cls: 0.1516, acc: 94.3809, loss_bbox: 0.2058, loss_mask: 0.2183, loss: 0.6269 2024-05-28 00:40:49,287 - mmdet - INFO - Epoch [9][6800/7330] lr: 1.000e-05, eta: 3:21:32, time: 0.525, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0354, loss_cls: 0.1709, acc: 93.6335, loss_bbox: 0.2263, loss_mask: 0.2311, loss: 0.6818 2024-05-28 00:41:15,535 - mmdet - INFO - Epoch [9][6850/7330] lr: 1.000e-05, eta: 3:21:05, time: 0.525, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0366, loss_cls: 0.1652, acc: 93.7634, loss_bbox: 0.2216, loss_mask: 0.2237, loss: 0.6666 2024-05-28 00:41:41,557 - mmdet - INFO - Epoch [9][6900/7330] lr: 1.000e-05, eta: 3:20:38, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0344, loss_cls: 0.1570, acc: 94.1711, loss_bbox: 0.2107, loss_mask: 0.2221, loss: 0.6418 2024-05-28 00:42:13,330 - mmdet - INFO - Epoch [9][6950/7330] lr: 1.000e-05, eta: 3:20:13, time: 0.635, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0346, loss_cls: 0.1620, acc: 93.9622, loss_bbox: 0.2150, loss_mask: 0.2231, loss: 0.6536 2024-05-28 00:42:39,619 - mmdet - INFO - Epoch [9][7000/7330] lr: 1.000e-05, eta: 3:19:46, time: 0.526, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0338, loss_cls: 0.1589, acc: 93.9758, loss_bbox: 0.2152, loss_mask: 0.2254, loss: 0.6518 2024-05-28 00:43:08,166 - mmdet - INFO - Epoch [9][7050/7330] lr: 1.000e-05, eta: 3:19:19, time: 0.571, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0320, loss_cls: 0.1518, acc: 94.2742, loss_bbox: 0.2085, loss_mask: 0.2225, loss: 0.6328 2024-05-28 00:43:36,546 - mmdet - INFO - Epoch [9][7100/7330] lr: 1.000e-05, eta: 3:18:53, time: 0.568, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0340, loss_cls: 0.1569, acc: 94.1406, loss_bbox: 0.2141, loss_mask: 0.2227, loss: 0.6458 2024-05-28 00:44:02,792 - mmdet - INFO - Epoch [9][7150/7330] lr: 1.000e-05, eta: 3:18:26, time: 0.525, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0338, loss_cls: 0.1558, acc: 94.1477, loss_bbox: 0.2121, loss_mask: 0.2210, loss: 0.6402 2024-05-28 00:44:32,770 - mmdet - INFO - Epoch [9][7200/7330] lr: 1.000e-05, eta: 3:18:00, time: 0.600, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0344, loss_cls: 0.1590, acc: 93.9673, loss_bbox: 0.2197, loss_mask: 0.2209, loss: 0.6509 2024-05-28 00:44:59,130 - mmdet - INFO - Epoch [9][7250/7330] lr: 1.000e-05, eta: 3:17:33, time: 0.527, data_time: 0.025, memory: 6051, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0354, loss_cls: 0.1616, acc: 93.8853, loss_bbox: 0.2213, loss_mask: 0.2257, loss: 0.6632 2024-05-28 00:45:25,302 - mmdet - INFO - Epoch [9][7300/7330] lr: 1.000e-05, eta: 3:17:06, time: 0.523, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0341, loss_cls: 0.1552, acc: 94.1106, loss_bbox: 0.2140, loss_mask: 0.2240, loss: 0.6445 2024-05-28 00:45:41,855 - mmdet - INFO - Saving checkpoint at 9 epochs 2024-05-28 00:47:21,223 - mmdet - INFO - Evaluating bbox... 2024-05-28 00:47:42,704 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.432 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.652 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.466 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.236 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.472 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.616 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.326 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.597 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.727 2024-05-28 00:47:42,704 - mmdet - INFO - Evaluating segm... 2024-05-28 00:48:09,979 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.383 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.616 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.402 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.166 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.417 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.605 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.486 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.486 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.486 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.261 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.538 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.687 2024-05-28 00:48:10,391 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-28 00:48:10,392 - mmdet - INFO - Epoch(val) [9][625] bbox_mAP: 0.4320, bbox_mAP_50: 0.6520, bbox_mAP_75: 0.4660, bbox_mAP_s: 0.2360, bbox_mAP_m: 0.4720, bbox_mAP_l: 0.6160, bbox_mAP_copypaste: 0.432 0.652 0.466 0.236 0.472 0.616, segm_mAP: 0.3830, segm_mAP_50: 0.6160, segm_mAP_75: 0.4020, segm_mAP_s: 0.1660, segm_mAP_m: 0.4170, segm_mAP_l: 0.6050, segm_mAP_copypaste: 0.383 0.616 0.402 0.166 0.417 0.605 2024-05-28 00:48:44,725 - mmdet - INFO - Epoch [10][50/7330] lr: 1.000e-05, eta: 3:16:20, time: 0.685, data_time: 0.083, memory: 6051, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0363, loss_cls: 0.1667, acc: 93.6389, loss_bbox: 0.2225, loss_mask: 0.2216, loss: 0.6652 2024-05-28 00:49:12,935 - mmdet - INFO - Epoch [10][100/7330] lr: 1.000e-05, eta: 3:15:54, time: 0.564, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0354, loss_cls: 0.1609, acc: 94.0044, loss_bbox: 0.2174, loss_mask: 0.2221, loss: 0.6544 2024-05-28 00:49:38,819 - mmdet - INFO - Epoch [10][150/7330] lr: 1.000e-05, eta: 3:15:26, time: 0.518, data_time: 0.026, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0346, loss_cls: 0.1594, acc: 94.0459, loss_bbox: 0.2166, loss_mask: 0.2260, loss: 0.6540 2024-05-28 00:50:04,711 - mmdet - INFO - Epoch [10][200/7330] lr: 1.000e-05, eta: 3:14:59, time: 0.518, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0341, loss_cls: 0.1604, acc: 93.9888, loss_bbox: 0.2122, loss_mask: 0.2192, loss: 0.6448 2024-05-28 00:50:32,871 - mmdet - INFO - Epoch [10][250/7330] lr: 1.000e-05, eta: 3:14:33, time: 0.563, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0353, loss_cls: 0.1572, acc: 94.0103, loss_bbox: 0.2138, loss_mask: 0.2208, loss: 0.6451 2024-05-28 00:50:58,793 - mmdet - INFO - Epoch [10][300/7330] lr: 1.000e-05, eta: 3:14:06, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0354, loss_cls: 0.1595, acc: 94.0493, loss_bbox: 0.2153, loss_mask: 0.2231, loss: 0.6512 2024-05-28 00:51:26,910 - mmdet - INFO - Epoch [10][350/7330] lr: 1.000e-05, eta: 3:13:39, time: 0.562, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0347, loss_cls: 0.1614, acc: 94.0276, loss_bbox: 0.2144, loss_mask: 0.2232, loss: 0.6521 2024-05-28 00:51:52,565 - mmdet - INFO - Epoch [10][400/7330] lr: 1.000e-05, eta: 3:13:12, time: 0.513, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0347, loss_cls: 0.1560, acc: 94.0808, loss_bbox: 0.2126, loss_mask: 0.2244, loss: 0.6453 2024-05-28 00:52:18,337 - mmdet - INFO - Epoch [10][450/7330] lr: 1.000e-05, eta: 3:12:45, time: 0.515, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0348, loss_cls: 0.1512, acc: 94.2766, loss_bbox: 0.2043, loss_mask: 0.2175, loss: 0.6247 2024-05-28 00:52:43,969 - mmdet - INFO - Epoch [10][500/7330] lr: 1.000e-05, eta: 3:12:18, time: 0.513, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0352, loss_cls: 0.1575, acc: 94.0388, loss_bbox: 0.2166, loss_mask: 0.2279, loss: 0.6550 2024-05-28 00:53:09,701 - mmdet - INFO - Epoch [10][550/7330] lr: 1.000e-05, eta: 3:11:50, time: 0.515, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0334, loss_cls: 0.1578, acc: 94.1167, loss_bbox: 0.2113, loss_mask: 0.2202, loss: 0.6421 2024-05-28 00:53:35,535 - mmdet - INFO - Epoch [10][600/7330] lr: 1.000e-05, eta: 3:11:23, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0294, loss_cls: 0.1469, acc: 94.5015, loss_bbox: 0.2033, loss_mask: 0.2132, loss: 0.6081 2024-05-28 00:54:01,178 - mmdet - INFO - Epoch [10][650/7330] lr: 1.000e-05, eta: 3:10:56, time: 0.513, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0328, loss_cls: 0.1501, acc: 94.2771, loss_bbox: 0.2076, loss_mask: 0.2187, loss: 0.6261 2024-05-28 00:54:26,832 - mmdet - INFO - Epoch [10][700/7330] lr: 1.000e-05, eta: 3:10:29, time: 0.513, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0356, loss_cls: 0.1598, acc: 93.9028, loss_bbox: 0.2210, loss_mask: 0.2251, loss: 0.6599 2024-05-28 00:54:52,573 - mmdet - INFO - Epoch [10][750/7330] lr: 1.000e-05, eta: 3:10:02, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0313, loss_cls: 0.1536, acc: 94.2485, loss_bbox: 0.2092, loss_mask: 0.2218, loss: 0.6313 2024-05-28 00:55:18,529 - mmdet - INFO - Epoch [10][800/7330] lr: 1.000e-05, eta: 3:09:35, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0316, loss_cls: 0.1543, acc: 94.1814, loss_bbox: 0.2100, loss_mask: 0.2206, loss: 0.6344 2024-05-28 00:55:44,117 - mmdet - INFO - Epoch [10][850/7330] lr: 1.000e-05, eta: 3:09:07, time: 0.512, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0356, loss_cls: 0.1629, acc: 93.8962, loss_bbox: 0.2159, loss_mask: 0.2278, loss: 0.6612 2024-05-28 00:56:12,101 - mmdet - INFO - Epoch [10][900/7330] lr: 1.000e-05, eta: 3:08:41, time: 0.560, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0351, loss_cls: 0.1611, acc: 93.9233, loss_bbox: 0.2189, loss_mask: 0.2292, loss: 0.6630 2024-05-28 00:56:37,828 - mmdet - INFO - Epoch [10][950/7330] lr: 1.000e-05, eta: 3:08:14, time: 0.515, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0361, loss_cls: 0.1594, acc: 93.9934, loss_bbox: 0.2194, loss_mask: 0.2246, loss: 0.6585 2024-05-28 00:57:05,793 - mmdet - INFO - Epoch [10][1000/7330] lr: 1.000e-05, eta: 3:07:47, time: 0.559, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0344, loss_cls: 0.1594, acc: 93.9617, loss_bbox: 0.2219, loss_mask: 0.2267, loss: 0.6596 2024-05-28 00:57:39,155 - mmdet - INFO - Epoch [10][1050/7330] lr: 1.000e-05, eta: 3:07:22, time: 0.667, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0333, loss_cls: 0.1615, acc: 93.8762, loss_bbox: 0.2184, loss_mask: 0.2251, loss: 0.6565 2024-05-28 00:58:09,476 - mmdet - INFO - Epoch [10][1100/7330] lr: 1.000e-05, eta: 3:06:57, time: 0.606, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0362, loss_cls: 0.1586, acc: 94.0105, loss_bbox: 0.2160, loss_mask: 0.2209, loss: 0.6500 2024-05-28 00:58:37,055 - mmdet - INFO - Epoch [10][1150/7330] lr: 1.000e-05, eta: 3:06:30, time: 0.552, data_time: 0.055, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0334, loss_cls: 0.1551, acc: 94.1423, loss_bbox: 0.2134, loss_mask: 0.2215, loss: 0.6409 2024-05-28 00:59:06,031 - mmdet - INFO - Epoch [10][1200/7330] lr: 1.000e-05, eta: 3:06:04, time: 0.579, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0327, loss_cls: 0.1520, acc: 94.2576, loss_bbox: 0.2066, loss_mask: 0.2220, loss: 0.6313 2024-05-28 00:59:31,874 - mmdet - INFO - Epoch [10][1250/7330] lr: 1.000e-05, eta: 3:05:37, time: 0.517, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0341, loss_cls: 0.1534, acc: 94.2219, loss_bbox: 0.2075, loss_mask: 0.2222, loss: 0.6339 2024-05-28 00:59:58,160 - mmdet - INFO - Epoch [10][1300/7330] lr: 1.000e-05, eta: 3:05:10, time: 0.526, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0366, loss_cls: 0.1617, acc: 93.8916, loss_bbox: 0.2217, loss_mask: 0.2249, loss: 0.6638 2024-05-28 01:00:24,120 - mmdet - INFO - Epoch [10][1350/7330] lr: 1.000e-05, eta: 3:04:42, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0333, loss_cls: 0.1498, acc: 94.3396, loss_bbox: 0.2046, loss_mask: 0.2158, loss: 0.6191 2024-05-28 01:00:50,103 - mmdet - INFO - Epoch [10][1400/7330] lr: 1.000e-05, eta: 3:04:15, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0344, loss_cls: 0.1555, acc: 94.1199, loss_bbox: 0.2108, loss_mask: 0.2212, loss: 0.6399 2024-05-28 01:01:16,118 - mmdet - INFO - Epoch [10][1450/7330] lr: 1.000e-05, eta: 3:03:48, time: 0.520, data_time: 0.027, memory: 6051, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0353, loss_cls: 0.1625, acc: 93.8191, loss_bbox: 0.2189, loss_mask: 0.2245, loss: 0.6603 2024-05-28 01:01:42,441 - mmdet - INFO - Epoch [10][1500/7330] lr: 1.000e-05, eta: 3:03:21, time: 0.526, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0320, loss_cls: 0.1553, acc: 94.1453, loss_bbox: 0.2143, loss_mask: 0.2184, loss: 0.6364 2024-05-28 01:02:08,387 - mmdet - INFO - Epoch [10][1550/7330] lr: 1.000e-05, eta: 3:02:54, time: 0.519, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0328, loss_cls: 0.1493, acc: 94.4304, loss_bbox: 0.1987, loss_mask: 0.2105, loss: 0.6074 2024-05-28 01:02:34,466 - mmdet - INFO - Epoch [10][1600/7330] lr: 1.000e-05, eta: 3:02:27, time: 0.522, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0341, loss_cls: 0.1561, acc: 94.1062, loss_bbox: 0.2119, loss_mask: 0.2259, loss: 0.6465 2024-05-28 01:03:00,445 - mmdet - INFO - Epoch [10][1650/7330] lr: 1.000e-05, eta: 3:02:00, time: 0.520, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0341, loss_cls: 0.1579, acc: 94.1067, loss_bbox: 0.2132, loss_mask: 0.2191, loss: 0.6435 2024-05-28 01:03:26,704 - mmdet - INFO - Epoch [10][1700/7330] lr: 1.000e-05, eta: 3:01:33, time: 0.525, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0344, loss_cls: 0.1586, acc: 93.9678, loss_bbox: 0.2155, loss_mask: 0.2169, loss: 0.6428 2024-05-28 01:03:52,607 - mmdet - INFO - Epoch [10][1750/7330] lr: 1.000e-05, eta: 3:01:06, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0319, loss_cls: 0.1509, acc: 94.2744, loss_bbox: 0.2060, loss_mask: 0.2185, loss: 0.6234 2024-05-28 01:04:20,818 - mmdet - INFO - Epoch [10][1800/7330] lr: 1.000e-05, eta: 3:00:39, time: 0.564, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0348, loss_cls: 0.1604, acc: 93.9587, loss_bbox: 0.2145, loss_mask: 0.2226, loss: 0.6517 2024-05-28 01:04:50,081 - mmdet - INFO - Epoch [10][1850/7330] lr: 1.000e-05, eta: 3:00:13, time: 0.585, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0320, loss_cls: 0.1557, acc: 94.1978, loss_bbox: 0.2049, loss_mask: 0.2126, loss: 0.6212 2024-05-28 01:05:19,619 - mmdet - INFO - Epoch [10][1900/7330] lr: 1.000e-05, eta: 2:59:47, time: 0.591, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0342, loss_cls: 0.1609, acc: 93.9719, loss_bbox: 0.2150, loss_mask: 0.2259, loss: 0.6539 2024-05-28 01:05:50,586 - mmdet - INFO - Epoch [10][1950/7330] lr: 1.000e-05, eta: 2:59:22, time: 0.619, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0326, loss_cls: 0.1572, acc: 94.0190, loss_bbox: 0.2133, loss_mask: 0.2189, loss: 0.6388 2024-05-28 01:06:20,945 - mmdet - INFO - Epoch [10][2000/7330] lr: 1.000e-05, eta: 2:58:56, time: 0.607, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0337, loss_cls: 0.1563, acc: 94.0679, loss_bbox: 0.2181, loss_mask: 0.2206, loss: 0.6461 2024-05-28 01:06:47,215 - mmdet - INFO - Epoch [10][2050/7330] lr: 1.000e-05, eta: 2:58:29, time: 0.525, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0344, loss_cls: 0.1605, acc: 93.9685, loss_bbox: 0.2166, loss_mask: 0.2248, loss: 0.6546 2024-05-28 01:07:17,428 - mmdet - INFO - Epoch [10][2100/7330] lr: 1.000e-05, eta: 2:58:03, time: 0.604, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0323, loss_cls: 0.1549, acc: 94.1194, loss_bbox: 0.2096, loss_mask: 0.2171, loss: 0.6301 2024-05-28 01:07:43,604 - mmdet - INFO - Epoch [10][2150/7330] lr: 1.000e-05, eta: 2:57:36, time: 0.524, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0321, loss_cls: 0.1588, acc: 93.9858, loss_bbox: 0.2138, loss_mask: 0.2216, loss: 0.6446 2024-05-28 01:08:09,735 - mmdet - INFO - Epoch [10][2200/7330] lr: 1.000e-05, eta: 2:57:09, time: 0.523, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0332, loss_cls: 0.1517, acc: 94.1885, loss_bbox: 0.2100, loss_mask: 0.2202, loss: 0.6314 2024-05-28 01:08:35,952 - mmdet - INFO - Epoch [10][2250/7330] lr: 1.000e-05, eta: 2:56:42, time: 0.524, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0356, loss_cls: 0.1648, acc: 93.8018, loss_bbox: 0.2194, loss_mask: 0.2241, loss: 0.6614 2024-05-28 01:09:02,219 - mmdet - INFO - Epoch [10][2300/7330] lr: 1.000e-05, eta: 2:56:15, time: 0.525, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0347, loss_cls: 0.1610, acc: 93.8748, loss_bbox: 0.2222, loss_mask: 0.2240, loss: 0.6603 2024-05-28 01:09:28,383 - mmdet - INFO - Epoch [10][2350/7330] lr: 1.000e-05, eta: 2:55:48, time: 0.523, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0350, loss_cls: 0.1629, acc: 93.9377, loss_bbox: 0.2213, loss_mask: 0.2274, loss: 0.6658 2024-05-28 01:09:54,539 - mmdet - INFO - Epoch [10][2400/7330] lr: 1.000e-05, eta: 2:55:21, time: 0.523, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0326, loss_cls: 0.1511, acc: 94.2329, loss_bbox: 0.2098, loss_mask: 0.2191, loss: 0.6282 2024-05-28 01:10:20,724 - mmdet - INFO - Epoch [10][2450/7330] lr: 1.000e-05, eta: 2:54:53, time: 0.524, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0332, loss_cls: 0.1530, acc: 94.3245, loss_bbox: 0.2058, loss_mask: 0.2202, loss: 0.6297 2024-05-28 01:10:46,812 - mmdet - INFO - Epoch [10][2500/7330] lr: 1.000e-05, eta: 2:54:26, time: 0.522, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0315, loss_cls: 0.1488, acc: 94.3604, loss_bbox: 0.2023, loss_mask: 0.2137, loss: 0.6122 2024-05-28 01:11:12,640 - mmdet - INFO - Epoch [10][2550/7330] lr: 1.000e-05, eta: 2:53:59, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0340, loss_cls: 0.1493, acc: 94.4219, loss_bbox: 0.2026, loss_mask: 0.2187, loss: 0.6220 2024-05-28 01:11:38,791 - mmdet - INFO - Epoch [10][2600/7330] lr: 1.000e-05, eta: 2:53:32, time: 0.523, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0331, loss_cls: 0.1511, acc: 94.2717, loss_bbox: 0.2048, loss_mask: 0.2142, loss: 0.6198 2024-05-28 01:12:07,013 - mmdet - INFO - Epoch [10][2650/7330] lr: 1.000e-05, eta: 2:53:06, time: 0.564, data_time: 0.027, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0358, loss_cls: 0.1566, acc: 94.1980, loss_bbox: 0.2112, loss_mask: 0.2208, loss: 0.6424 2024-05-28 01:12:33,116 - mmdet - INFO - Epoch [10][2700/7330] lr: 1.000e-05, eta: 2:52:39, time: 0.522, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0341, loss_cls: 0.1660, acc: 93.7549, loss_bbox: 0.2223, loss_mask: 0.2225, loss: 0.6627 2024-05-28 01:13:01,937 - mmdet - INFO - Epoch [10][2750/7330] lr: 1.000e-05, eta: 2:52:12, time: 0.576, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0349, loss_cls: 0.1565, acc: 94.0981, loss_bbox: 0.2152, loss_mask: 0.2237, loss: 0.6479 2024-05-28 01:13:32,934 - mmdet - INFO - Epoch [10][2800/7330] lr: 1.000e-05, eta: 2:51:47, time: 0.620, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0321, loss_cls: 0.1489, acc: 94.3511, loss_bbox: 0.2055, loss_mask: 0.2199, loss: 0.6231 2024-05-28 01:14:05,650 - mmdet - INFO - Epoch [10][2850/7330] lr: 1.000e-05, eta: 2:51:21, time: 0.654, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0333, loss_cls: 0.1520, acc: 94.2932, loss_bbox: 0.2138, loss_mask: 0.2253, loss: 0.6408 2024-05-28 01:14:31,857 - mmdet - INFO - Epoch [10][2900/7330] lr: 1.000e-05, eta: 2:50:54, time: 0.524, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0344, loss_cls: 0.1604, acc: 93.9773, loss_bbox: 0.2138, loss_mask: 0.2208, loss: 0.6473 2024-05-28 01:14:57,954 - mmdet - INFO - Epoch [10][2950/7330] lr: 1.000e-05, eta: 2:50:27, time: 0.522, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0344, loss_cls: 0.1557, acc: 94.1384, loss_bbox: 0.2127, loss_mask: 0.2251, loss: 0.6454 2024-05-28 01:15:26,465 - mmdet - INFO - Epoch [10][3000/7330] lr: 1.000e-05, eta: 2:50:01, time: 0.570, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0361, loss_cls: 0.1623, acc: 93.8779, loss_bbox: 0.2146, loss_mask: 0.2218, loss: 0.6529 2024-05-28 01:15:52,706 - mmdet - INFO - Epoch [10][3050/7330] lr: 1.000e-05, eta: 2:49:34, time: 0.525, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0355, loss_cls: 0.1573, acc: 94.0630, loss_bbox: 0.2219, loss_mask: 0.2271, loss: 0.6594 2024-05-28 01:16:18,748 - mmdet - INFO - Epoch [10][3100/7330] lr: 1.000e-05, eta: 2:49:07, time: 0.521, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0359, loss_cls: 0.1563, acc: 94.1116, loss_bbox: 0.2090, loss_mask: 0.2172, loss: 0.6371 2024-05-28 01:16:44,738 - mmdet - INFO - Epoch [10][3150/7330] lr: 1.000e-05, eta: 2:48:40, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0346, loss_cls: 0.1591, acc: 93.9714, loss_bbox: 0.2186, loss_mask: 0.2244, loss: 0.6555 2024-05-28 01:17:10,861 - mmdet - INFO - Epoch [10][3200/7330] lr: 1.000e-05, eta: 2:48:13, time: 0.522, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0342, loss_cls: 0.1558, acc: 94.0647, loss_bbox: 0.2120, loss_mask: 0.2253, loss: 0.6437 2024-05-28 01:17:36,858 - mmdet - INFO - Epoch [10][3250/7330] lr: 1.000e-05, eta: 2:47:46, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0312, loss_cls: 0.1498, acc: 94.3518, loss_bbox: 0.2026, loss_mask: 0.2199, loss: 0.6190 2024-05-28 01:18:02,917 - mmdet - INFO - Epoch [10][3300/7330] lr: 1.000e-05, eta: 2:47:19, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0338, loss_cls: 0.1524, acc: 94.2180, loss_bbox: 0.2121, loss_mask: 0.2208, loss: 0.6363 2024-05-28 01:18:29,099 - mmdet - INFO - Epoch [10][3350/7330] lr: 1.000e-05, eta: 2:46:51, time: 0.524, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0340, loss_cls: 0.1612, acc: 93.9133, loss_bbox: 0.2189, loss_mask: 0.2209, loss: 0.6525 2024-05-28 01:18:55,059 - mmdet - INFO - Epoch [10][3400/7330] lr: 1.000e-05, eta: 2:46:24, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0338, loss_cls: 0.1571, acc: 94.1016, loss_bbox: 0.2128, loss_mask: 0.2207, loss: 0.6424 2024-05-28 01:19:21,339 - mmdet - INFO - Epoch [10][3450/7330] lr: 1.000e-05, eta: 2:45:57, time: 0.526, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0335, loss_cls: 0.1502, acc: 94.3357, loss_bbox: 0.2118, loss_mask: 0.2208, loss: 0.6339 2024-05-28 01:19:47,365 - mmdet - INFO - Epoch [10][3500/7330] lr: 1.000e-05, eta: 2:45:30, time: 0.521, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0337, loss_cls: 0.1506, acc: 94.2388, loss_bbox: 0.2078, loss_mask: 0.2205, loss: 0.6298 2024-05-28 01:20:15,376 - mmdet - INFO - Epoch [10][3550/7330] lr: 1.000e-05, eta: 2:45:04, time: 0.560, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0328, loss_cls: 0.1534, acc: 94.2148, loss_bbox: 0.2069, loss_mask: 0.2212, loss: 0.6305 2024-05-28 01:20:44,926 - mmdet - INFO - Epoch [10][3600/7330] lr: 1.000e-05, eta: 2:44:38, time: 0.591, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0337, loss_cls: 0.1496, acc: 94.3701, loss_bbox: 0.2071, loss_mask: 0.2170, loss: 0.6248 2024-05-28 01:21:14,066 - mmdet - INFO - Epoch [10][3650/7330] lr: 1.000e-05, eta: 2:44:11, time: 0.583, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0344, loss_cls: 0.1540, acc: 94.1921, loss_bbox: 0.2142, loss_mask: 0.2277, loss: 0.6474 2024-05-28 01:21:46,132 - mmdet - INFO - Epoch [10][3700/7330] lr: 1.000e-05, eta: 2:43:46, time: 0.641, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0338, loss_cls: 0.1540, acc: 94.2651, loss_bbox: 0.2087, loss_mask: 0.2245, loss: 0.6389 2024-05-28 01:22:16,696 - mmdet - INFO - Epoch [10][3750/7330] lr: 1.000e-05, eta: 2:43:20, time: 0.611, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0326, loss_cls: 0.1528, acc: 94.2151, loss_bbox: 0.2101, loss_mask: 0.2252, loss: 0.6365 2024-05-28 01:22:42,764 - mmdet - INFO - Epoch [10][3800/7330] lr: 1.000e-05, eta: 2:42:53, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0311, loss_cls: 0.1493, acc: 94.3254, loss_bbox: 0.2059, loss_mask: 0.2199, loss: 0.6208 2024-05-28 01:23:11,009 - mmdet - INFO - Epoch [10][3850/7330] lr: 1.000e-05, eta: 2:42:26, time: 0.565, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0355, loss_cls: 0.1602, acc: 93.9199, loss_bbox: 0.2140, loss_mask: 0.2200, loss: 0.6501 2024-05-28 01:23:37,149 - mmdet - INFO - Epoch [10][3900/7330] lr: 1.000e-05, eta: 2:41:59, time: 0.523, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0334, loss_cls: 0.1605, acc: 93.9114, loss_bbox: 0.2142, loss_mask: 0.2191, loss: 0.6435 2024-05-28 01:24:03,082 - mmdet - INFO - Epoch [10][3950/7330] lr: 1.000e-05, eta: 2:41:32, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0315, loss_cls: 0.1521, acc: 94.2600, loss_bbox: 0.2050, loss_mask: 0.2153, loss: 0.6193 2024-05-28 01:24:29,256 - mmdet - INFO - Epoch [10][4000/7330] lr: 1.000e-05, eta: 2:41:05, time: 0.523, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0340, loss_cls: 0.1525, acc: 94.2415, loss_bbox: 0.2044, loss_mask: 0.2175, loss: 0.6268 2024-05-28 01:24:55,201 - mmdet - INFO - Epoch [10][4050/7330] lr: 1.000e-05, eta: 2:40:38, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0352, loss_cls: 0.1614, acc: 93.9348, loss_bbox: 0.2184, loss_mask: 0.2209, loss: 0.6532 2024-05-28 01:25:21,170 - mmdet - INFO - Epoch [10][4100/7330] lr: 1.000e-05, eta: 2:40:11, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0322, loss_cls: 0.1527, acc: 94.2366, loss_bbox: 0.2051, loss_mask: 0.2172, loss: 0.6243 2024-05-28 01:25:47,254 - mmdet - INFO - Epoch [10][4150/7330] lr: 1.000e-05, eta: 2:39:44, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0327, loss_cls: 0.1505, acc: 94.3125, loss_bbox: 0.2092, loss_mask: 0.2252, loss: 0.6340 2024-05-28 01:26:13,563 - mmdet - INFO - Epoch [10][4200/7330] lr: 1.000e-05, eta: 2:39:17, time: 0.526, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0352, loss_cls: 0.1582, acc: 93.9468, loss_bbox: 0.2196, loss_mask: 0.2234, loss: 0.6537 2024-05-28 01:26:39,466 - mmdet - INFO - Epoch [10][4250/7330] lr: 1.000e-05, eta: 2:38:50, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0326, loss_cls: 0.1593, acc: 94.0745, loss_bbox: 0.2160, loss_mask: 0.2214, loss: 0.6469 2024-05-28 01:27:05,278 - mmdet - INFO - Epoch [10][4300/7330] lr: 1.000e-05, eta: 2:38:23, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0317, loss_cls: 0.1491, acc: 94.4138, loss_bbox: 0.2027, loss_mask: 0.2215, loss: 0.6207 2024-05-28 01:27:31,029 - mmdet - INFO - Epoch [10][4350/7330] lr: 1.000e-05, eta: 2:37:56, time: 0.515, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0346, loss_cls: 0.1585, acc: 93.9534, loss_bbox: 0.2240, loss_mask: 0.2269, loss: 0.6625 2024-05-28 01:27:59,312 - mmdet - INFO - Epoch [10][4400/7330] lr: 1.000e-05, eta: 2:37:29, time: 0.565, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0338, loss_cls: 0.1596, acc: 93.9619, loss_bbox: 0.2166, loss_mask: 0.2210, loss: 0.6478 2024-05-28 01:28:25,313 - mmdet - INFO - Epoch [10][4450/7330] lr: 1.000e-05, eta: 2:37:02, time: 0.520, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0314, loss_cls: 0.1498, acc: 94.4553, loss_bbox: 0.2019, loss_mask: 0.2156, loss: 0.6152 2024-05-28 01:28:54,389 - mmdet - INFO - Epoch [10][4500/7330] lr: 1.000e-05, eta: 2:36:36, time: 0.581, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0344, loss_cls: 0.1623, acc: 93.8784, loss_bbox: 0.2145, loss_mask: 0.2176, loss: 0.6462 2024-05-28 01:29:25,028 - mmdet - INFO - Epoch [10][4550/7330] lr: 1.000e-05, eta: 2:36:10, time: 0.613, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0349, loss_cls: 0.1581, acc: 93.9973, loss_bbox: 0.2147, loss_mask: 0.2242, loss: 0.6489 2024-05-28 01:29:57,931 - mmdet - INFO - Epoch [10][4600/7330] lr: 1.000e-05, eta: 2:35:44, time: 0.658, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0312, loss_cls: 0.1449, acc: 94.5093, loss_bbox: 0.2050, loss_mask: 0.2195, loss: 0.6169 2024-05-28 01:30:23,965 - mmdet - INFO - Epoch [10][4650/7330] lr: 1.000e-05, eta: 2:35:17, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0322, loss_cls: 0.1482, acc: 94.4019, loss_bbox: 0.2044, loss_mask: 0.2165, loss: 0.6184 2024-05-28 01:30:50,584 - mmdet - INFO - Epoch [10][4700/7330] lr: 1.000e-05, eta: 2:34:50, time: 0.532, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0368, loss_cls: 0.1621, acc: 93.8494, loss_bbox: 0.2238, loss_mask: 0.2255, loss: 0.6662 2024-05-28 01:31:18,881 - mmdet - INFO - Epoch [10][4750/7330] lr: 1.000e-05, eta: 2:34:24, time: 0.566, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0355, loss_cls: 0.1588, acc: 93.9929, loss_bbox: 0.2146, loss_mask: 0.2258, loss: 0.6527 2024-05-28 01:31:44,966 - mmdet - INFO - Epoch [10][4800/7330] lr: 1.000e-05, eta: 2:33:57, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0350, loss_cls: 0.1590, acc: 94.0547, loss_bbox: 0.2150, loss_mask: 0.2260, loss: 0.6517 2024-05-28 01:32:10,953 - mmdet - INFO - Epoch [10][4850/7330] lr: 1.000e-05, eta: 2:33:30, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0341, loss_cls: 0.1564, acc: 94.2236, loss_bbox: 0.2110, loss_mask: 0.2228, loss: 0.6417 2024-05-28 01:32:37,052 - mmdet - INFO - Epoch [10][4900/7330] lr: 1.000e-05, eta: 2:33:03, time: 0.522, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0327, loss_cls: 0.1501, acc: 94.2419, loss_bbox: 0.2075, loss_mask: 0.2174, loss: 0.6244 2024-05-28 01:33:03,228 - mmdet - INFO - Epoch [10][4950/7330] lr: 1.000e-05, eta: 2:32:36, time: 0.524, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0319, loss_cls: 0.1475, acc: 94.4160, loss_bbox: 0.2041, loss_mask: 0.2231, loss: 0.6228 2024-05-28 01:33:29,391 - mmdet - INFO - Epoch [10][5000/7330] lr: 1.000e-05, eta: 2:32:09, time: 0.523, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0345, loss_cls: 0.1498, acc: 94.3411, loss_bbox: 0.2086, loss_mask: 0.2198, loss: 0.6291 2024-05-28 01:33:55,356 - mmdet - INFO - Epoch [10][5050/7330] lr: 1.000e-05, eta: 2:31:42, time: 0.519, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0331, loss_cls: 0.1506, acc: 94.3547, loss_bbox: 0.2056, loss_mask: 0.2135, loss: 0.6207 2024-05-28 01:34:21,387 - mmdet - INFO - Epoch [10][5100/7330] lr: 1.000e-05, eta: 2:31:14, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0336, loss_cls: 0.1532, acc: 94.2781, loss_bbox: 0.2098, loss_mask: 0.2252, loss: 0.6401 2024-05-28 01:34:47,700 - mmdet - INFO - Epoch [10][5150/7330] lr: 1.000e-05, eta: 2:30:47, time: 0.526, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0360, loss_cls: 0.1609, acc: 93.8386, loss_bbox: 0.2211, loss_mask: 0.2282, loss: 0.6643 2024-05-28 01:35:13,847 - mmdet - INFO - Epoch [10][5200/7330] lr: 1.000e-05, eta: 2:30:20, time: 0.523, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0337, loss_cls: 0.1601, acc: 93.9788, loss_bbox: 0.2155, loss_mask: 0.2215, loss: 0.6492 2024-05-28 01:35:40,087 - mmdet - INFO - Epoch [10][5250/7330] lr: 1.000e-05, eta: 2:29:53, time: 0.525, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0365, loss_cls: 0.1643, acc: 93.7512, loss_bbox: 0.2268, loss_mask: 0.2292, loss: 0.6764 2024-05-28 01:36:08,373 - mmdet - INFO - Epoch [10][5300/7330] lr: 1.000e-05, eta: 2:29:27, time: 0.566, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0340, loss_cls: 0.1510, acc: 94.3647, loss_bbox: 0.2072, loss_mask: 0.2207, loss: 0.6311 2024-05-28 01:36:34,335 - mmdet - INFO - Epoch [10][5350/7330] lr: 1.000e-05, eta: 2:29:00, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0342, loss_cls: 0.1594, acc: 94.0537, loss_bbox: 0.2163, loss_mask: 0.2235, loss: 0.6510 2024-05-28 01:37:05,906 - mmdet - INFO - Epoch [10][5400/7330] lr: 1.000e-05, eta: 2:28:34, time: 0.631, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0342, loss_cls: 0.1566, acc: 94.1509, loss_bbox: 0.2101, loss_mask: 0.2240, loss: 0.6433 2024-05-28 01:37:34,480 - mmdet - INFO - Epoch [10][5450/7330] lr: 1.000e-05, eta: 2:28:08, time: 0.571, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0344, loss_cls: 0.1632, acc: 93.9104, loss_bbox: 0.2216, loss_mask: 0.2176, loss: 0.6545 2024-05-28 01:38:07,241 - mmdet - INFO - Epoch [10][5500/7330] lr: 1.000e-05, eta: 2:27:42, time: 0.655, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0309, loss_cls: 0.1471, acc: 94.5354, loss_bbox: 0.1996, loss_mask: 0.2167, loss: 0.6103 2024-05-28 01:38:33,111 - mmdet - INFO - Epoch [10][5550/7330] lr: 1.000e-05, eta: 2:27:15, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0328, loss_cls: 0.1542, acc: 94.2026, loss_bbox: 0.2104, loss_mask: 0.2164, loss: 0.6321 2024-05-28 01:39:01,474 - mmdet - INFO - Epoch [10][5600/7330] lr: 1.000e-05, eta: 2:26:48, time: 0.567, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0333, loss_cls: 0.1541, acc: 94.1892, loss_bbox: 0.2114, loss_mask: 0.2198, loss: 0.6352 2024-05-28 01:39:27,516 - mmdet - INFO - Epoch [10][5650/7330] lr: 1.000e-05, eta: 2:26:21, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0331, loss_cls: 0.1517, acc: 94.3718, loss_bbox: 0.2058, loss_mask: 0.2183, loss: 0.6261 2024-05-28 01:39:53,716 - mmdet - INFO - Epoch [10][5700/7330] lr: 1.000e-05, eta: 2:25:54, time: 0.524, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0334, loss_cls: 0.1566, acc: 94.0759, loss_bbox: 0.2126, loss_mask: 0.2224, loss: 0.6419 2024-05-28 01:40:19,746 - mmdet - INFO - Epoch [10][5750/7330] lr: 1.000e-05, eta: 2:25:27, time: 0.521, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0346, loss_cls: 0.1588, acc: 94.0037, loss_bbox: 0.2162, loss_mask: 0.2248, loss: 0.6522 2024-05-28 01:40:45,760 - mmdet - INFO - Epoch [10][5800/7330] lr: 1.000e-05, eta: 2:25:00, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0339, loss_cls: 0.1553, acc: 94.1631, loss_bbox: 0.2145, loss_mask: 0.2219, loss: 0.6443 2024-05-28 01:41:11,774 - mmdet - INFO - Epoch [10][5850/7330] lr: 1.000e-05, eta: 2:24:33, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0329, loss_cls: 0.1551, acc: 94.1245, loss_bbox: 0.2119, loss_mask: 0.2196, loss: 0.6371 2024-05-28 01:41:37,772 - mmdet - INFO - Epoch [10][5900/7330] lr: 1.000e-05, eta: 2:24:06, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0344, loss_cls: 0.1551, acc: 94.1646, loss_bbox: 0.2103, loss_mask: 0.2218, loss: 0.6394 2024-05-28 01:42:03,805 - mmdet - INFO - Epoch [10][5950/7330] lr: 1.000e-05, eta: 2:23:39, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0349, loss_cls: 0.1606, acc: 93.9226, loss_bbox: 0.2157, loss_mask: 0.2253, loss: 0.6552 2024-05-28 01:42:29,868 - mmdet - INFO - Epoch [10][6000/7330] lr: 1.000e-05, eta: 2:23:12, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0346, loss_cls: 0.1577, acc: 93.9541, loss_bbox: 0.2153, loss_mask: 0.2198, loss: 0.6450 2024-05-28 01:42:55,961 - mmdet - INFO - Epoch [10][6050/7330] lr: 1.000e-05, eta: 2:22:45, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0337, loss_cls: 0.1548, acc: 94.1167, loss_bbox: 0.2109, loss_mask: 0.2170, loss: 0.6346 2024-05-28 01:43:22,051 - mmdet - INFO - Epoch [10][6100/7330] lr: 1.000e-05, eta: 2:22:18, time: 0.522, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0354, loss_cls: 0.1608, acc: 94.0291, loss_bbox: 0.2131, loss_mask: 0.2206, loss: 0.6487 2024-05-28 01:43:48,219 - mmdet - INFO - Epoch [10][6150/7330] lr: 1.000e-05, eta: 2:21:51, time: 0.523, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0328, loss_cls: 0.1491, acc: 94.4133, loss_bbox: 0.2048, loss_mask: 0.2164, loss: 0.6194 2024-05-28 01:44:16,489 - mmdet - INFO - Epoch [10][6200/7330] lr: 1.000e-05, eta: 2:21:24, time: 0.565, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0373, loss_cls: 0.1615, acc: 93.8823, loss_bbox: 0.2213, loss_mask: 0.2227, loss: 0.6618 2024-05-28 01:44:45,264 - mmdet - INFO - Epoch [10][6250/7330] lr: 1.000e-05, eta: 2:20:58, time: 0.575, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0353, loss_cls: 0.1605, acc: 93.9202, loss_bbox: 0.2204, loss_mask: 0.2267, loss: 0.6615 2024-05-28 01:45:15,774 - mmdet - INFO - Epoch [10][6300/7330] lr: 1.000e-05, eta: 2:20:32, time: 0.610, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0340, loss_cls: 0.1517, acc: 94.1724, loss_bbox: 0.2123, loss_mask: 0.2213, loss: 0.6354 2024-05-28 01:45:48,677 - mmdet - INFO - Epoch [10][6350/7330] lr: 1.000e-05, eta: 2:20:06, time: 0.658, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0354, loss_cls: 0.1606, acc: 93.9739, loss_bbox: 0.2185, loss_mask: 0.2228, loss: 0.6551 2024-05-28 01:46:14,747 - mmdet - INFO - Epoch [10][6400/7330] lr: 1.000e-05, eta: 2:19:39, time: 0.521, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0340, loss_cls: 0.1556, acc: 94.1711, loss_bbox: 0.2110, loss_mask: 0.2199, loss: 0.6382 2024-05-28 01:46:40,877 - mmdet - INFO - Epoch [10][6450/7330] lr: 1.000e-05, eta: 2:19:12, time: 0.523, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0332, loss_cls: 0.1532, acc: 94.2473, loss_bbox: 0.2081, loss_mask: 0.2132, loss: 0.6243 2024-05-28 01:47:09,128 - mmdet - INFO - Epoch [10][6500/7330] lr: 1.000e-05, eta: 2:18:46, time: 0.565, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0332, loss_cls: 0.1506, acc: 94.3809, loss_bbox: 0.2082, loss_mask: 0.2182, loss: 0.6251 2024-05-28 01:47:35,065 - mmdet - INFO - Epoch [10][6550/7330] lr: 1.000e-05, eta: 2:18:18, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0347, loss_cls: 0.1589, acc: 93.9607, loss_bbox: 0.2171, loss_mask: 0.2254, loss: 0.6529 2024-05-28 01:48:00,881 - mmdet - INFO - Epoch [10][6600/7330] lr: 1.000e-05, eta: 2:17:51, time: 0.517, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0313, loss_cls: 0.1484, acc: 94.3350, loss_bbox: 0.2070, loss_mask: 0.2206, loss: 0.6228 2024-05-28 01:48:27,215 - mmdet - INFO - Epoch [10][6650/7330] lr: 1.000e-05, eta: 2:17:24, time: 0.527, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0332, loss_cls: 0.1558, acc: 94.1333, loss_bbox: 0.2119, loss_mask: 0.2266, loss: 0.6449 2024-05-28 01:48:53,137 - mmdet - INFO - Epoch [10][6700/7330] lr: 1.000e-05, eta: 2:16:57, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0353, loss_cls: 0.1548, acc: 94.0742, loss_bbox: 0.2162, loss_mask: 0.2214, loss: 0.6449 2024-05-28 01:49:19,139 - mmdet - INFO - Epoch [10][6750/7330] lr: 1.000e-05, eta: 2:16:30, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0348, loss_cls: 0.1599, acc: 94.0066, loss_bbox: 0.2173, loss_mask: 0.2234, loss: 0.6530 2024-05-28 01:49:45,266 - mmdet - INFO - Epoch [10][6800/7330] lr: 1.000e-05, eta: 2:16:03, time: 0.523, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0324, loss_cls: 0.1532, acc: 94.2153, loss_bbox: 0.2118, loss_mask: 0.2223, loss: 0.6353 2024-05-28 01:50:11,482 - mmdet - INFO - Epoch [10][6850/7330] lr: 1.000e-05, eta: 2:15:36, time: 0.524, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0333, loss_cls: 0.1562, acc: 94.0842, loss_bbox: 0.2124, loss_mask: 0.2211, loss: 0.6401 2024-05-28 01:50:37,280 - mmdet - INFO - Epoch [10][6900/7330] lr: 1.000e-05, eta: 2:15:09, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0347, loss_cls: 0.1601, acc: 94.0498, loss_bbox: 0.2182, loss_mask: 0.2257, loss: 0.6569 2024-05-28 01:51:03,369 - mmdet - INFO - Epoch [10][6950/7330] lr: 1.000e-05, eta: 2:14:42, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0321, loss_cls: 0.1516, acc: 94.2832, loss_bbox: 0.2023, loss_mask: 0.2152, loss: 0.6181 2024-05-28 01:51:29,574 - mmdet - INFO - Epoch [10][7000/7330] lr: 1.000e-05, eta: 2:14:15, time: 0.524, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0358, loss_cls: 0.1538, acc: 94.2007, loss_bbox: 0.2103, loss_mask: 0.2165, loss: 0.6329 2024-05-28 01:51:57,678 - mmdet - INFO - Epoch [10][7050/7330] lr: 1.000e-05, eta: 2:13:48, time: 0.562, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0329, loss_cls: 0.1581, acc: 94.1221, loss_bbox: 0.2130, loss_mask: 0.2221, loss: 0.6433 2024-05-28 01:52:23,847 - mmdet - INFO - Epoch [10][7100/7330] lr: 1.000e-05, eta: 2:13:21, time: 0.523, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0320, loss_cls: 0.1494, acc: 94.3538, loss_bbox: 0.2081, loss_mask: 0.2179, loss: 0.6234 2024-05-28 01:52:52,888 - mmdet - INFO - Epoch [10][7150/7330] lr: 1.000e-05, eta: 2:12:55, time: 0.581, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0366, loss_cls: 0.1619, acc: 93.9985, loss_bbox: 0.2214, loss_mask: 0.2240, loss: 0.6615 2024-05-28 01:53:23,190 - mmdet - INFO - Epoch [10][7200/7330] lr: 1.000e-05, eta: 2:12:29, time: 0.606, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0332, loss_cls: 0.1524, acc: 94.2754, loss_bbox: 0.2097, loss_mask: 0.2176, loss: 0.6295 2024-05-28 01:53:57,084 - mmdet - INFO - Epoch [10][7250/7330] lr: 1.000e-05, eta: 2:12:03, time: 0.678, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0298, loss_cls: 0.1436, acc: 94.6206, loss_bbox: 0.1962, loss_mask: 0.2099, loss: 0.5935 2024-05-28 01:54:23,311 - mmdet - INFO - Epoch [10][7300/7330] lr: 1.000e-05, eta: 2:11:36, time: 0.525, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0334, loss_cls: 0.1569, acc: 94.0610, loss_bbox: 0.2109, loss_mask: 0.2185, loss: 0.6369 2024-05-28 01:54:39,861 - mmdet - INFO - Saving checkpoint at 10 epochs 2024-05-28 01:56:18,960 - mmdet - INFO - Evaluating bbox... 2024-05-28 01:56:40,338 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.435 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.653 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.470 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.238 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.477 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.619 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.323 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.597 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.730 2024-05-28 01:56:40,338 - mmdet - INFO - Evaluating segm... 2024-05-28 01:57:04,662 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.384 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.618 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.403 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.165 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.419 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.606 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.484 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.484 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.484 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.257 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.537 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.686 2024-05-28 01:57:05,172 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-28 01:57:05,173 - mmdet - INFO - Epoch(val) [10][625] bbox_mAP: 0.4350, bbox_mAP_50: 0.6530, bbox_mAP_75: 0.4700, bbox_mAP_s: 0.2380, bbox_mAP_m: 0.4770, bbox_mAP_l: 0.6190, bbox_mAP_copypaste: 0.435 0.653 0.470 0.238 0.477 0.619, segm_mAP: 0.3840, segm_mAP_50: 0.6180, segm_mAP_75: 0.4030, segm_mAP_s: 0.1650, segm_mAP_m: 0.4190, segm_mAP_l: 0.6060, segm_mAP_copypaste: 0.384 0.618 0.403 0.165 0.419 0.606 2024-05-28 01:57:43,720 - mmdet - INFO - Epoch [11][50/7330] lr: 1.000e-05, eta: 2:10:52, time: 0.771, data_time: 0.083, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0360, loss_cls: 0.1564, acc: 94.1011, loss_bbox: 0.2170, loss_mask: 0.2259, loss: 0.6516 2024-05-28 01:58:11,778 - mmdet - INFO - Epoch [11][100/7330] lr: 1.000e-05, eta: 2:10:26, time: 0.561, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0332, loss_cls: 0.1514, acc: 94.2551, loss_bbox: 0.2088, loss_mask: 0.2215, loss: 0.6313 2024-05-28 01:58:37,513 - mmdet - INFO - Epoch [11][150/7330] lr: 1.000e-05, eta: 2:09:59, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0347, loss_cls: 0.1571, acc: 94.0562, loss_bbox: 0.2148, loss_mask: 0.2205, loss: 0.6449 2024-05-28 01:59:03,207 - mmdet - INFO - Epoch [11][200/7330] lr: 1.000e-05, eta: 2:09:32, time: 0.514, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0317, loss_cls: 0.1474, acc: 94.3728, loss_bbox: 0.2075, loss_mask: 0.2115, loss: 0.6136 2024-05-28 01:59:29,105 - mmdet - INFO - Epoch [11][250/7330] lr: 1.000e-05, eta: 2:09:05, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0358, loss_cls: 0.1591, acc: 94.0535, loss_bbox: 0.2145, loss_mask: 0.2180, loss: 0.6458 2024-05-28 01:59:54,807 - mmdet - INFO - Epoch [11][300/7330] lr: 1.000e-05, eta: 2:08:37, time: 0.514, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0342, loss_cls: 0.1583, acc: 94.0420, loss_bbox: 0.2167, loss_mask: 0.2218, loss: 0.6481 2024-05-28 02:00:26,134 - mmdet - INFO - Epoch [11][350/7330] lr: 1.000e-05, eta: 2:08:11, time: 0.626, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0315, loss_cls: 0.1449, acc: 94.5569, loss_bbox: 0.1996, loss_mask: 0.2196, loss: 0.6117 2024-05-28 02:00:51,992 - mmdet - INFO - Epoch [11][400/7330] lr: 1.000e-05, eta: 2:07:44, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0326, loss_cls: 0.1544, acc: 94.1382, loss_bbox: 0.2069, loss_mask: 0.2210, loss: 0.6322 2024-05-28 02:01:17,687 - mmdet - INFO - Epoch [11][450/7330] lr: 1.000e-05, eta: 2:07:17, time: 0.514, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0348, loss_cls: 0.1584, acc: 94.0132, loss_bbox: 0.2130, loss_mask: 0.2232, loss: 0.6472 2024-05-28 02:01:43,524 - mmdet - INFO - Epoch [11][500/7330] lr: 1.000e-05, eta: 2:06:50, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0376, loss_cls: 0.1565, acc: 93.9958, loss_bbox: 0.2139, loss_mask: 0.2251, loss: 0.6508 2024-05-28 02:02:09,124 - mmdet - INFO - Epoch [11][550/7330] lr: 1.000e-05, eta: 2:06:23, time: 0.512, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0308, loss_cls: 0.1458, acc: 94.5330, loss_bbox: 0.2011, loss_mask: 0.2125, loss: 0.6052 2024-05-28 02:02:34,747 - mmdet - INFO - Epoch [11][600/7330] lr: 1.000e-05, eta: 2:05:56, time: 0.512, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0310, loss_cls: 0.1482, acc: 94.4639, loss_bbox: 0.1969, loss_mask: 0.2121, loss: 0.6039 2024-05-28 02:03:00,525 - mmdet - INFO - Epoch [11][650/7330] lr: 1.000e-05, eta: 2:05:29, time: 0.516, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0332, loss_cls: 0.1504, acc: 94.3167, loss_bbox: 0.2042, loss_mask: 0.2171, loss: 0.6204 2024-05-28 02:03:26,176 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-28 02:03:26,176 - mmdet - INFO - Epoch [11][700/7330] lr: 1.000e-05, eta: 2:05:02, time: 0.513, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0314, loss_cls: 0.1401, acc: 94.7063, loss_bbox: 0.1991, loss_mask: 0.2134, loss: 0.5993 2024-05-28 02:03:51,990 - mmdet - INFO - Epoch [11][750/7330] lr: 1.000e-05, eta: 2:04:35, time: 0.516, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0354, loss_cls: 0.1537, acc: 94.1045, loss_bbox: 0.2125, loss_mask: 0.2196, loss: 0.6385 2024-05-28 02:04:17,565 - mmdet - INFO - Epoch [11][800/7330] lr: 1.000e-05, eta: 2:04:08, time: 0.512, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0336, loss_cls: 0.1507, acc: 94.2661, loss_bbox: 0.2053, loss_mask: 0.2219, loss: 0.6273 2024-05-28 02:04:43,291 - mmdet - INFO - Epoch [11][850/7330] lr: 1.000e-05, eta: 2:03:41, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0326, loss_cls: 0.1516, acc: 94.2881, loss_bbox: 0.2047, loss_mask: 0.2174, loss: 0.6217 2024-05-28 02:05:13,920 - mmdet - INFO - Epoch [11][900/7330] lr: 1.000e-05, eta: 2:03:14, time: 0.613, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0351, loss_cls: 0.1560, acc: 94.0403, loss_bbox: 0.2135, loss_mask: 0.2221, loss: 0.6447 2024-05-28 02:05:42,807 - mmdet - INFO - Epoch [11][950/7330] lr: 1.000e-05, eta: 2:02:48, time: 0.578, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0328, loss_cls: 0.1510, acc: 94.3044, loss_bbox: 0.2081, loss_mask: 0.2237, loss: 0.6325 2024-05-28 02:06:10,845 - mmdet - INFO - Epoch [11][1000/7330] lr: 1.000e-05, eta: 2:02:21, time: 0.560, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0371, loss_cls: 0.1554, acc: 94.0649, loss_bbox: 0.2138, loss_mask: 0.2197, loss: 0.6441 2024-05-28 02:06:43,432 - mmdet - INFO - Epoch [11][1050/7330] lr: 1.000e-05, eta: 2:01:55, time: 0.652, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0329, loss_cls: 0.1544, acc: 94.1743, loss_bbox: 0.2122, loss_mask: 0.2208, loss: 0.6364 2024-05-28 02:07:14,138 - mmdet - INFO - Epoch [11][1100/7330] lr: 1.000e-05, eta: 2:01:29, time: 0.614, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0353, loss_cls: 0.1570, acc: 94.0188, loss_bbox: 0.2190, loss_mask: 0.2216, loss: 0.6495 2024-05-28 02:07:40,036 - mmdet - INFO - Epoch [11][1150/7330] lr: 1.000e-05, eta: 2:01:02, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0323, loss_cls: 0.1549, acc: 94.1604, loss_bbox: 0.2138, loss_mask: 0.2181, loss: 0.6358 2024-05-28 02:08:05,771 - mmdet - INFO - Epoch [11][1200/7330] lr: 1.000e-05, eta: 2:00:35, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0354, loss_cls: 0.1540, acc: 94.2036, loss_bbox: 0.2110, loss_mask: 0.2198, loss: 0.6387 2024-05-28 02:08:31,680 - mmdet - INFO - Epoch [11][1250/7330] lr: 1.000e-05, eta: 2:00:08, time: 0.518, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0316, loss_cls: 0.1507, acc: 94.3149, loss_bbox: 0.2056, loss_mask: 0.2152, loss: 0.6200 2024-05-28 02:08:57,568 - mmdet - INFO - Epoch [11][1300/7330] lr: 1.000e-05, eta: 1:59:41, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0346, loss_cls: 0.1569, acc: 94.1084, loss_bbox: 0.2168, loss_mask: 0.2235, loss: 0.6496 2024-05-28 02:09:23,479 - mmdet - INFO - Epoch [11][1350/7330] lr: 1.000e-05, eta: 1:59:14, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0360, loss_cls: 0.1599, acc: 93.9194, loss_bbox: 0.2169, loss_mask: 0.2246, loss: 0.6554 2024-05-28 02:09:49,333 - mmdet - INFO - Epoch [11][1400/7330] lr: 1.000e-05, eta: 1:58:47, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0333, loss_cls: 0.1527, acc: 94.2380, loss_bbox: 0.2058, loss_mask: 0.2210, loss: 0.6295 2024-05-28 02:10:15,454 - mmdet - INFO - Epoch [11][1450/7330] lr: 1.000e-05, eta: 1:58:20, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0345, loss_cls: 0.1565, acc: 94.0481, loss_bbox: 0.2168, loss_mask: 0.2269, loss: 0.6523 2024-05-28 02:10:41,189 - mmdet - INFO - Epoch [11][1500/7330] lr: 1.000e-05, eta: 1:57:53, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0331, loss_cls: 0.1515, acc: 94.2483, loss_bbox: 0.2139, loss_mask: 0.2216, loss: 0.6366 2024-05-28 02:11:07,131 - mmdet - INFO - Epoch [11][1550/7330] lr: 1.000e-05, eta: 1:57:26, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0329, loss_cls: 0.1522, acc: 94.1787, loss_bbox: 0.2117, loss_mask: 0.2235, loss: 0.6367 2024-05-28 02:11:32,954 - mmdet - INFO - Epoch [11][1600/7330] lr: 1.000e-05, eta: 1:56:59, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0341, loss_cls: 0.1595, acc: 93.9512, loss_bbox: 0.2188, loss_mask: 0.2228, loss: 0.6527 2024-05-28 02:11:58,576 - mmdet - INFO - Epoch [11][1650/7330] lr: 1.000e-05, eta: 1:56:32, time: 0.512, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0294, loss_cls: 0.1397, acc: 94.6743, loss_bbox: 0.1958, loss_mask: 0.2151, loss: 0.5940 2024-05-28 02:12:24,345 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-28 02:12:24,345 - mmdet - INFO - Epoch [11][1700/7330] lr: 1.000e-05, eta: 1:56:05, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0335, loss_cls: 0.1540, acc: 94.1731, loss_bbox: 0.2072, loss_mask: 0.2185, loss: 0.6312 2024-05-28 02:12:49,996 - mmdet - INFO - Epoch [11][1750/7330] lr: 1.000e-05, eta: 1:55:37, time: 0.513, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0330, loss_cls: 0.1518, acc: 94.3079, loss_bbox: 0.2067, loss_mask: 0.2133, loss: 0.6216 2024-05-28 02:13:23,955 - mmdet - INFO - Epoch [11][1800/7330] lr: 1.000e-05, eta: 1:55:12, time: 0.679, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0316, loss_cls: 0.1522, acc: 94.2603, loss_bbox: 0.2091, loss_mask: 0.2173, loss: 0.6255 2024-05-28 02:13:52,190 - mmdet - INFO - Epoch [11][1850/7330] lr: 1.000e-05, eta: 1:54:45, time: 0.565, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0311, loss_cls: 0.1462, acc: 94.3892, loss_bbox: 0.2058, loss_mask: 0.2179, loss: 0.6165 2024-05-28 02:14:21,320 - mmdet - INFO - Epoch [11][1900/7330] lr: 1.000e-05, eta: 1:54:19, time: 0.583, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0341, loss_cls: 0.1549, acc: 94.0984, loss_bbox: 0.2149, loss_mask: 0.2236, loss: 0.6451 2024-05-28 02:14:52,315 - mmdet - INFO - Epoch [11][1950/7330] lr: 1.000e-05, eta: 1:53:52, time: 0.620, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0327, loss_cls: 0.1526, acc: 94.2637, loss_bbox: 0.2096, loss_mask: 0.2218, loss: 0.6331 2024-05-28 02:15:20,685 - mmdet - INFO - Epoch [11][2000/7330] lr: 1.000e-05, eta: 1:53:26, time: 0.567, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0329, loss_cls: 0.1535, acc: 94.1514, loss_bbox: 0.2106, loss_mask: 0.2135, loss: 0.6264 2024-05-28 02:15:46,515 - mmdet - INFO - Epoch [11][2050/7330] lr: 1.000e-05, eta: 1:52:59, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0305, loss_cls: 0.1479, acc: 94.3777, loss_bbox: 0.2029, loss_mask: 0.2141, loss: 0.6104 2024-05-28 02:16:12,399 - mmdet - INFO - Epoch [11][2100/7330] lr: 1.000e-05, eta: 1:52:32, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0344, loss_cls: 0.1537, acc: 94.1680, loss_bbox: 0.2104, loss_mask: 0.2185, loss: 0.6338 2024-05-28 02:16:38,201 - mmdet - INFO - Epoch [11][2150/7330] lr: 1.000e-05, eta: 1:52:05, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0323, loss_cls: 0.1505, acc: 94.3481, loss_bbox: 0.2057, loss_mask: 0.2213, loss: 0.6255 2024-05-28 02:17:04,325 - mmdet - INFO - Epoch [11][2200/7330] lr: 1.000e-05, eta: 1:51:38, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0339, loss_cls: 0.1556, acc: 94.2065, loss_bbox: 0.2162, loss_mask: 0.2247, loss: 0.6476 2024-05-28 02:17:30,678 - mmdet - INFO - Epoch [11][2250/7330] lr: 1.000e-05, eta: 1:51:11, time: 0.527, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0354, loss_cls: 0.1623, acc: 93.8655, loss_bbox: 0.2243, loss_mask: 0.2261, loss: 0.6678 2024-05-28 02:17:56,512 - mmdet - INFO - Epoch [11][2300/7330] lr: 1.000e-05, eta: 1:50:44, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0346, loss_cls: 0.1578, acc: 94.0176, loss_bbox: 0.2146, loss_mask: 0.2196, loss: 0.6442 2024-05-28 02:18:22,659 - mmdet - INFO - Epoch [11][2350/7330] lr: 1.000e-05, eta: 1:50:17, time: 0.523, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0308, loss_cls: 0.1506, acc: 94.3284, loss_bbox: 0.2102, loss_mask: 0.2183, loss: 0.6248 2024-05-28 02:18:48,621 - mmdet - INFO - Epoch [11][2400/7330] lr: 1.000e-05, eta: 1:49:50, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0331, loss_cls: 0.1467, acc: 94.4275, loss_bbox: 0.2019, loss_mask: 0.2169, loss: 0.6151 2024-05-28 02:19:14,423 - mmdet - INFO - Epoch [11][2450/7330] lr: 1.000e-05, eta: 1:49:23, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0335, loss_cls: 0.1569, acc: 94.1201, loss_bbox: 0.2097, loss_mask: 0.2235, loss: 0.6413 2024-05-28 02:19:40,592 - mmdet - INFO - Epoch [11][2500/7330] lr: 1.000e-05, eta: 1:48:56, time: 0.523, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0331, loss_cls: 0.1535, acc: 94.1885, loss_bbox: 0.2088, loss_mask: 0.2186, loss: 0.6306 2024-05-28 02:20:06,748 - mmdet - INFO - Epoch [11][2550/7330] lr: 1.000e-05, eta: 1:48:29, time: 0.523, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0319, loss_cls: 0.1502, acc: 94.3213, loss_bbox: 0.2020, loss_mask: 0.2191, loss: 0.6200 2024-05-28 02:20:32,924 - mmdet - INFO - Epoch [11][2600/7330] lr: 1.000e-05, eta: 1:48:02, time: 0.523, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0327, loss_cls: 0.1534, acc: 94.2119, loss_bbox: 0.2086, loss_mask: 0.2192, loss: 0.6304 2024-05-28 02:21:04,242 - mmdet - INFO - Epoch [11][2650/7330] lr: 1.000e-05, eta: 1:47:35, time: 0.626, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0335, loss_cls: 0.1480, acc: 94.4348, loss_bbox: 0.2061, loss_mask: 0.2168, loss: 0.6211 2024-05-28 02:21:33,180 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-28 02:21:33,180 - mmdet - INFO - Epoch [11][2700/7330] lr: 1.000e-05, eta: 1:47:09, time: 0.579, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0339, loss_cls: 0.1570, acc: 94.0808, loss_bbox: 0.2168, loss_mask: 0.2240, loss: 0.6478 2024-05-28 02:22:01,186 - mmdet - INFO - Epoch [11][2750/7330] lr: 1.000e-05, eta: 1:46:42, time: 0.560, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0341, loss_cls: 0.1543, acc: 94.2429, loss_bbox: 0.2090, loss_mask: 0.2202, loss: 0.6347 2024-05-28 02:22:31,780 - mmdet - INFO - Epoch [11][2800/7330] lr: 1.000e-05, eta: 1:46:16, time: 0.612, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0344, loss_cls: 0.1572, acc: 94.1672, loss_bbox: 0.2109, loss_mask: 0.2216, loss: 0.6424 2024-05-28 02:23:03,502 - mmdet - INFO - Epoch [11][2850/7330] lr: 1.000e-05, eta: 1:45:50, time: 0.634, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0326, loss_cls: 0.1559, acc: 94.1453, loss_bbox: 0.2119, loss_mask: 0.2198, loss: 0.6367 2024-05-28 02:23:29,533 - mmdet - INFO - Epoch [11][2900/7330] lr: 1.000e-05, eta: 1:45:23, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0313, loss_cls: 0.1460, acc: 94.5186, loss_bbox: 0.1953, loss_mask: 0.2154, loss: 0.6040 2024-05-28 02:23:55,438 - mmdet - INFO - Epoch [11][2950/7330] lr: 1.000e-05, eta: 1:44:56, time: 0.518, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0330, loss_cls: 0.1525, acc: 94.1621, loss_bbox: 0.2087, loss_mask: 0.2195, loss: 0.6294 2024-05-28 02:24:21,450 - mmdet - INFO - Epoch [11][3000/7330] lr: 1.000e-05, eta: 1:44:29, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0344, loss_cls: 0.1525, acc: 94.3071, loss_bbox: 0.2080, loss_mask: 0.2201, loss: 0.6318 2024-05-28 02:24:47,434 - mmdet - INFO - Epoch [11][3050/7330] lr: 1.000e-05, eta: 1:44:02, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0347, loss_cls: 0.1506, acc: 94.2844, loss_bbox: 0.2066, loss_mask: 0.2223, loss: 0.6299 2024-05-28 02:25:13,592 - mmdet - INFO - Epoch [11][3100/7330] lr: 1.000e-05, eta: 1:43:35, time: 0.523, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0329, loss_cls: 0.1542, acc: 94.1072, loss_bbox: 0.2126, loss_mask: 0.2208, loss: 0.6375 2024-05-28 02:25:39,546 - mmdet - INFO - Epoch [11][3150/7330] lr: 1.000e-05, eta: 1:43:08, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0337, loss_cls: 0.1533, acc: 94.1472, loss_bbox: 0.2111, loss_mask: 0.2203, loss: 0.6358 2024-05-28 02:26:05,355 - mmdet - INFO - Epoch [11][3200/7330] lr: 1.000e-05, eta: 1:42:41, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0358, loss_cls: 0.1600, acc: 93.9978, loss_bbox: 0.2200, loss_mask: 0.2260, loss: 0.6604 2024-05-28 02:26:31,525 - mmdet - INFO - Epoch [11][3250/7330] lr: 1.000e-05, eta: 1:42:14, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0333, loss_cls: 0.1533, acc: 94.2493, loss_bbox: 0.2117, loss_mask: 0.2197, loss: 0.6349 2024-05-28 02:26:57,203 - mmdet - INFO - Epoch [11][3300/7330] lr: 1.000e-05, eta: 1:41:47, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0335, loss_cls: 0.1440, acc: 94.5881, loss_bbox: 0.2041, loss_mask: 0.2215, loss: 0.6190 2024-05-28 02:27:23,251 - mmdet - INFO - Epoch [11][3350/7330] lr: 1.000e-05, eta: 1:41:20, time: 0.521, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0294, loss_cls: 0.1416, acc: 94.6401, loss_bbox: 0.2004, loss_mask: 0.2134, loss: 0.5991 2024-05-28 02:27:49,423 - mmdet - INFO - Epoch [11][3400/7330] lr: 1.000e-05, eta: 1:40:53, time: 0.523, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0326, loss_cls: 0.1490, acc: 94.3792, loss_bbox: 0.2062, loss_mask: 0.2169, loss: 0.6214 2024-05-28 02:28:15,477 - mmdet - INFO - Epoch [11][3450/7330] lr: 1.000e-05, eta: 1:40:26, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0340, loss_cls: 0.1548, acc: 94.1274, loss_bbox: 0.2143, loss_mask: 0.2230, loss: 0.6434 2024-05-28 02:28:41,547 - mmdet - INFO - Epoch [11][3500/7330] lr: 1.000e-05, eta: 1:39:59, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0338, loss_cls: 0.1562, acc: 94.0791, loss_bbox: 0.2172, loss_mask: 0.2245, loss: 0.6489 2024-05-28 02:29:16,331 - mmdet - INFO - Epoch [11][3550/7330] lr: 1.000e-05, eta: 1:39:33, time: 0.696, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0353, loss_cls: 0.1542, acc: 94.1599, loss_bbox: 0.2105, loss_mask: 0.2194, loss: 0.6381 2024-05-28 02:29:42,235 - mmdet - INFO - Epoch [11][3600/7330] lr: 1.000e-05, eta: 1:39:06, time: 0.518, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0323, loss_cls: 0.1435, acc: 94.5977, loss_bbox: 0.1971, loss_mask: 0.2118, loss: 0.6019 2024-05-28 02:30:12,798 - mmdet - INFO - Epoch [11][3650/7330] lr: 1.000e-05, eta: 1:38:39, time: 0.611, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0337, loss_cls: 0.1588, acc: 94.0266, loss_bbox: 0.2116, loss_mask: 0.2219, loss: 0.6438 2024-05-28 02:30:43,963 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-28 02:30:43,963 - mmdet - INFO - Epoch [11][3700/7330] lr: 1.000e-05, eta: 1:38:13, time: 0.623, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0320, loss_cls: 0.1485, acc: 94.3523, loss_bbox: 0.2064, loss_mask: 0.2159, loss: 0.6181 2024-05-28 02:31:12,200 - mmdet - INFO - Epoch [11][3750/7330] lr: 1.000e-05, eta: 1:37:46, time: 0.564, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0337, loss_cls: 0.1506, acc: 94.2070, loss_bbox: 0.2117, loss_mask: 0.2248, loss: 0.6377 2024-05-28 02:31:38,269 - mmdet - INFO - Epoch [11][3800/7330] lr: 1.000e-05, eta: 1:37:19, time: 0.521, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0332, loss_cls: 0.1550, acc: 94.1985, loss_bbox: 0.2126, loss_mask: 0.2217, loss: 0.6397 2024-05-28 02:32:04,375 - mmdet - INFO - Epoch [11][3850/7330] lr: 1.000e-05, eta: 1:36:52, time: 0.523, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0314, loss_cls: 0.1457, acc: 94.4463, loss_bbox: 0.2072, loss_mask: 0.2180, loss: 0.6175 2024-05-28 02:32:30,456 - mmdet - INFO - Epoch [11][3900/7330] lr: 1.000e-05, eta: 1:36:25, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0312, loss_cls: 0.1479, acc: 94.4082, loss_bbox: 0.2061, loss_mask: 0.2147, loss: 0.6155 2024-05-28 02:32:56,289 - mmdet - INFO - Epoch [11][3950/7330] lr: 1.000e-05, eta: 1:35:58, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0307, loss_cls: 0.1483, acc: 94.4260, loss_bbox: 0.2024, loss_mask: 0.2157, loss: 0.6125 2024-05-28 02:33:22,140 - mmdet - INFO - Epoch [11][4000/7330] lr: 1.000e-05, eta: 1:35:31, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0337, loss_cls: 0.1520, acc: 94.2683, loss_bbox: 0.2092, loss_mask: 0.2232, loss: 0.6354 2024-05-28 02:33:48,115 - mmdet - INFO - Epoch [11][4050/7330] lr: 1.000e-05, eta: 1:35:04, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0328, loss_cls: 0.1509, acc: 94.2446, loss_bbox: 0.2042, loss_mask: 0.2171, loss: 0.6206 2024-05-28 02:34:14,356 - mmdet - INFO - Epoch [11][4100/7330] lr: 1.000e-05, eta: 1:34:37, time: 0.525, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0315, loss_cls: 0.1506, acc: 94.2642, loss_bbox: 0.2085, loss_mask: 0.2158, loss: 0.6227 2024-05-28 02:34:40,529 - mmdet - INFO - Epoch [11][4150/7330] lr: 1.000e-05, eta: 1:34:10, time: 0.524, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0329, loss_cls: 0.1547, acc: 94.1685, loss_bbox: 0.2114, loss_mask: 0.2216, loss: 0.6371 2024-05-28 02:35:06,828 - mmdet - INFO - Epoch [11][4200/7330] lr: 1.000e-05, eta: 1:33:43, time: 0.526, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0335, loss_cls: 0.1514, acc: 94.3372, loss_bbox: 0.2075, loss_mask: 0.2172, loss: 0.6261 2024-05-28 02:35:32,980 - mmdet - INFO - Epoch [11][4250/7330] lr: 1.000e-05, eta: 1:33:17, time: 0.523, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0325, loss_cls: 0.1481, acc: 94.3750, loss_bbox: 0.2018, loss_mask: 0.2163, loss: 0.6153 2024-05-28 02:35:59,029 - mmdet - INFO - Epoch [11][4300/7330] lr: 1.000e-05, eta: 1:32:50, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0339, loss_cls: 0.1495, acc: 94.4006, loss_bbox: 0.2089, loss_mask: 0.2123, loss: 0.6209 2024-05-28 02:36:24,861 - mmdet - INFO - Epoch [11][4350/7330] lr: 1.000e-05, eta: 1:32:22, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0349, loss_cls: 0.1547, acc: 94.1226, loss_bbox: 0.2184, loss_mask: 0.2279, loss: 0.6547 2024-05-28 02:36:55,818 - mmdet - INFO - Epoch [11][4400/7330] lr: 1.000e-05, eta: 1:31:56, time: 0.619, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0351, loss_cls: 0.1571, acc: 94.0005, loss_bbox: 0.2165, loss_mask: 0.2185, loss: 0.6456 2024-05-28 02:37:24,055 - mmdet - INFO - Epoch [11][4450/7330] lr: 1.000e-05, eta: 1:31:29, time: 0.564, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0346, loss_cls: 0.1495, acc: 94.2930, loss_bbox: 0.2085, loss_mask: 0.2226, loss: 0.6314 2024-05-28 02:37:52,231 - mmdet - INFO - Epoch [11][4500/7330] lr: 1.000e-05, eta: 1:31:03, time: 0.564, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0356, loss_cls: 0.1565, acc: 94.0564, loss_bbox: 0.2139, loss_mask: 0.2218, loss: 0.6468 2024-05-28 02:38:23,333 - mmdet - INFO - Epoch [11][4550/7330] lr: 1.000e-05, eta: 1:30:36, time: 0.622, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0328, loss_cls: 0.1514, acc: 94.3289, loss_bbox: 0.2090, loss_mask: 0.2155, loss: 0.6252 2024-05-28 02:38:54,154 - mmdet - INFO - Epoch [11][4600/7330] lr: 1.000e-05, eta: 1:30:10, time: 0.616, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0374, loss_cls: 0.1558, acc: 94.1230, loss_bbox: 0.2163, loss_mask: 0.2195, loss: 0.6453 2024-05-28 02:39:20,342 - mmdet - INFO - Epoch [11][4650/7330] lr: 1.000e-05, eta: 1:29:43, time: 0.524, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0346, loss_cls: 0.1556, acc: 94.1458, loss_bbox: 0.2096, loss_mask: 0.2180, loss: 0.6346 2024-05-28 02:39:49,207 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-28 02:39:49,207 - mmdet - INFO - Epoch [11][4700/7330] lr: 1.000e-05, eta: 1:29:16, time: 0.577, data_time: 0.077, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0329, loss_cls: 0.1520, acc: 94.2424, loss_bbox: 0.2100, loss_mask: 0.2164, loss: 0.6273 2024-05-28 02:40:15,143 - mmdet - INFO - Epoch [11][4750/7330] lr: 1.000e-05, eta: 1:28:49, time: 0.519, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0344, loss_cls: 0.1522, acc: 94.1541, loss_bbox: 0.2129, loss_mask: 0.2188, loss: 0.6354 2024-05-28 02:40:41,029 - mmdet - INFO - Epoch [11][4800/7330] lr: 1.000e-05, eta: 1:28:22, time: 0.518, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0336, loss_cls: 0.1540, acc: 94.1860, loss_bbox: 0.2089, loss_mask: 0.2178, loss: 0.6320 2024-05-28 02:41:06,893 - mmdet - INFO - Epoch [11][4850/7330] lr: 1.000e-05, eta: 1:27:55, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0321, loss_cls: 0.1464, acc: 94.4531, loss_bbox: 0.2044, loss_mask: 0.2163, loss: 0.6166 2024-05-28 02:41:32,648 - mmdet - INFO - Epoch [11][4900/7330] lr: 1.000e-05, eta: 1:27:28, time: 0.515, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0349, loss_cls: 0.1592, acc: 94.0129, loss_bbox: 0.2167, loss_mask: 0.2212, loss: 0.6504 2024-05-28 02:41:58,279 - mmdet - INFO - Epoch [11][4950/7330] lr: 1.000e-05, eta: 1:27:01, time: 0.513, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0346, loss_cls: 0.1533, acc: 94.2202, loss_bbox: 0.2137, loss_mask: 0.2238, loss: 0.6422 2024-05-28 02:42:24,156 - mmdet - INFO - Epoch [11][5000/7330] lr: 1.000e-05, eta: 1:26:34, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0333, loss_cls: 0.1543, acc: 94.2810, loss_bbox: 0.2108, loss_mask: 0.2183, loss: 0.6325 2024-05-28 02:42:50,072 - mmdet - INFO - Epoch [11][5050/7330] lr: 1.000e-05, eta: 1:26:07, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0315, loss_cls: 0.1518, acc: 94.1936, loss_bbox: 0.2081, loss_mask: 0.2161, loss: 0.6228 2024-05-28 02:43:16,129 - mmdet - INFO - Epoch [11][5100/7330] lr: 1.000e-05, eta: 1:25:40, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0352, loss_cls: 0.1541, acc: 94.1316, loss_bbox: 0.2179, loss_mask: 0.2219, loss: 0.6454 2024-05-28 02:43:42,037 - mmdet - INFO - Epoch [11][5150/7330] lr: 1.000e-05, eta: 1:25:13, time: 0.518, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0351, loss_cls: 0.1537, acc: 94.1609, loss_bbox: 0.2125, loss_mask: 0.2265, loss: 0.6451 2024-05-28 02:44:07,940 - mmdet - INFO - Epoch [11][5200/7330] lr: 1.000e-05, eta: 1:24:46, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0335, loss_cls: 0.1566, acc: 94.1152, loss_bbox: 0.2130, loss_mask: 0.2182, loss: 0.6382 2024-05-28 02:44:33,972 - mmdet - INFO - Epoch [11][5250/7330] lr: 1.000e-05, eta: 1:24:19, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0345, loss_cls: 0.1520, acc: 94.1653, loss_bbox: 0.2086, loss_mask: 0.2220, loss: 0.6353 2024-05-28 02:45:06,855 - mmdet - INFO - Epoch [11][5300/7330] lr: 1.000e-05, eta: 1:23:53, time: 0.658, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0322, loss_cls: 0.1433, acc: 94.5435, loss_bbox: 0.2014, loss_mask: 0.2138, loss: 0.6066 2024-05-28 02:45:32,758 - mmdet - INFO - Epoch [11][5350/7330] lr: 1.000e-05, eta: 1:23:26, time: 0.518, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0347, loss_cls: 0.1562, acc: 94.0735, loss_bbox: 0.2155, loss_mask: 0.2239, loss: 0.6488 2024-05-28 02:46:03,361 - mmdet - INFO - Epoch [11][5400/7330] lr: 1.000e-05, eta: 1:23:00, time: 0.612, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0351, loss_cls: 0.1529, acc: 94.2051, loss_bbox: 0.2078, loss_mask: 0.2204, loss: 0.6334 2024-05-28 02:46:34,173 - mmdet - INFO - Epoch [11][5450/7330] lr: 1.000e-05, eta: 1:22:33, time: 0.616, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0329, loss_cls: 0.1476, acc: 94.4751, loss_bbox: 0.2014, loss_mask: 0.2134, loss: 0.6118 2024-05-28 02:47:02,513 - mmdet - INFO - Epoch [11][5500/7330] lr: 1.000e-05, eta: 1:22:06, time: 0.567, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0343, loss_cls: 0.1503, acc: 94.3770, loss_bbox: 0.2094, loss_mask: 0.2229, loss: 0.6342 2024-05-28 02:47:28,289 - mmdet - INFO - Epoch [11][5550/7330] lr: 1.000e-05, eta: 1:21:39, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0325, loss_cls: 0.1492, acc: 94.3416, loss_bbox: 0.2073, loss_mask: 0.2177, loss: 0.6239 2024-05-28 02:47:54,044 - mmdet - INFO - Epoch [11][5600/7330] lr: 1.000e-05, eta: 1:21:12, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0327, loss_cls: 0.1503, acc: 94.2913, loss_bbox: 0.2097, loss_mask: 0.2204, loss: 0.6304 2024-05-28 02:48:19,685 - mmdet - INFO - Epoch [11][5650/7330] lr: 1.000e-05, eta: 1:20:45, time: 0.513, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0340, loss_cls: 0.1492, acc: 94.3181, loss_bbox: 0.2087, loss_mask: 0.2206, loss: 0.6284 2024-05-28 02:48:45,346 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-28 02:48:45,346 - mmdet - INFO - Epoch [11][5700/7330] lr: 1.000e-05, eta: 1:20:18, time: 0.513, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0333, loss_cls: 0.1523, acc: 94.3154, loss_bbox: 0.2098, loss_mask: 0.2174, loss: 0.6283 2024-05-28 02:49:11,113 - mmdet - INFO - Epoch [11][5750/7330] lr: 1.000e-05, eta: 1:19:51, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0312, loss_cls: 0.1491, acc: 94.4214, loss_bbox: 0.2095, loss_mask: 0.2179, loss: 0.6220 2024-05-28 02:49:36,945 - mmdet - INFO - Epoch [11][5800/7330] lr: 1.000e-05, eta: 1:19:24, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0314, loss_cls: 0.1470, acc: 94.4128, loss_bbox: 0.2052, loss_mask: 0.2202, loss: 0.6199 2024-05-28 02:50:02,962 - mmdet - INFO - Epoch [11][5850/7330] lr: 1.000e-05, eta: 1:18:57, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0330, loss_cls: 0.1529, acc: 94.2686, loss_bbox: 0.2101, loss_mask: 0.2141, loss: 0.6264 2024-05-28 02:50:28,906 - mmdet - INFO - Epoch [11][5900/7330] lr: 1.000e-05, eta: 1:18:30, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0333, loss_cls: 0.1544, acc: 94.1736, loss_bbox: 0.2113, loss_mask: 0.2181, loss: 0.6340 2024-05-28 02:50:54,903 - mmdet - INFO - Epoch [11][5950/7330] lr: 1.000e-05, eta: 1:18:03, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0330, loss_cls: 0.1510, acc: 94.2332, loss_bbox: 0.2059, loss_mask: 0.2168, loss: 0.6230 2024-05-28 02:51:20,786 - mmdet - INFO - Epoch [11][6000/7330] lr: 1.000e-05, eta: 1:17:36, time: 0.518, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0332, loss_cls: 0.1511, acc: 94.3149, loss_bbox: 0.2048, loss_mask: 0.2148, loss: 0.6207 2024-05-28 02:51:46,610 - mmdet - INFO - Epoch [11][6050/7330] lr: 1.000e-05, eta: 1:17:09, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0348, loss_cls: 0.1536, acc: 94.1946, loss_bbox: 0.2098, loss_mask: 0.2194, loss: 0.6354 2024-05-28 02:52:12,461 - mmdet - INFO - Epoch [11][6100/7330] lr: 1.000e-05, eta: 1:16:42, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0322, loss_cls: 0.1493, acc: 94.4128, loss_bbox: 0.2026, loss_mask: 0.2182, loss: 0.6168 2024-05-28 02:52:43,348 - mmdet - INFO - Epoch [11][6150/7330] lr: 1.000e-05, eta: 1:16:16, time: 0.618, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0325, loss_cls: 0.1517, acc: 94.3213, loss_bbox: 0.2049, loss_mask: 0.2141, loss: 0.6200 2024-05-28 02:53:11,338 - mmdet - INFO - Epoch [11][6200/7330] lr: 1.000e-05, eta: 1:15:49, time: 0.560, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0337, loss_cls: 0.1512, acc: 94.2273, loss_bbox: 0.2077, loss_mask: 0.2158, loss: 0.6252 2024-05-28 02:53:39,659 - mmdet - INFO - Epoch [11][6250/7330] lr: 1.000e-05, eta: 1:15:22, time: 0.566, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0334, loss_cls: 0.1527, acc: 94.1716, loss_bbox: 0.2085, loss_mask: 0.2195, loss: 0.6296 2024-05-28 02:54:10,123 - mmdet - INFO - Epoch [11][6300/7330] lr: 1.000e-05, eta: 1:14:56, time: 0.609, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0353, loss_cls: 0.1605, acc: 93.9763, loss_bbox: 0.2157, loss_mask: 0.2228, loss: 0.6516 2024-05-28 02:54:40,701 - mmdet - INFO - Epoch [11][6350/7330] lr: 1.000e-05, eta: 1:14:29, time: 0.612, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0322, loss_cls: 0.1522, acc: 94.2568, loss_bbox: 0.2077, loss_mask: 0.2190, loss: 0.6272 2024-05-28 02:55:06,653 - mmdet - INFO - Epoch [11][6400/7330] lr: 1.000e-05, eta: 1:14:02, time: 0.519, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0317, loss_cls: 0.1502, acc: 94.3271, loss_bbox: 0.2052, loss_mask: 0.2124, loss: 0.6152 2024-05-28 02:55:32,810 - mmdet - INFO - Epoch [11][6450/7330] lr: 1.000e-05, eta: 1:13:35, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0371, loss_cls: 0.1631, acc: 93.8301, loss_bbox: 0.2230, loss_mask: 0.2227, loss: 0.6647 2024-05-28 02:55:58,499 - mmdet - INFO - Epoch [11][6500/7330] lr: 1.000e-05, eta: 1:13:08, time: 0.514, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0327, loss_cls: 0.1500, acc: 94.3030, loss_bbox: 0.2108, loss_mask: 0.2186, loss: 0.6285 2024-05-28 02:56:24,597 - mmdet - INFO - Epoch [11][6550/7330] lr: 1.000e-05, eta: 1:12:41, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0357, loss_cls: 0.1526, acc: 94.1943, loss_bbox: 0.2152, loss_mask: 0.2199, loss: 0.6409 2024-05-28 02:56:50,429 - mmdet - INFO - Epoch [11][6600/7330] lr: 1.000e-05, eta: 1:12:14, time: 0.517, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0323, loss_cls: 0.1477, acc: 94.4502, loss_bbox: 0.2054, loss_mask: 0.2202, loss: 0.6213 2024-05-28 02:57:16,446 - mmdet - INFO - Epoch [11][6650/7330] lr: 1.000e-05, eta: 1:11:47, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0327, loss_cls: 0.1516, acc: 94.2996, loss_bbox: 0.2082, loss_mask: 0.2191, loss: 0.6269 2024-05-28 02:57:42,309 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-28 02:57:42,309 - mmdet - INFO - Epoch [11][6700/7330] lr: 1.000e-05, eta: 1:11:20, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0318, loss_cls: 0.1486, acc: 94.3337, loss_bbox: 0.2045, loss_mask: 0.2174, loss: 0.6176 2024-05-28 02:58:08,266 - mmdet - INFO - Epoch [11][6750/7330] lr: 1.000e-05, eta: 1:10:53, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0308, loss_cls: 0.1480, acc: 94.4707, loss_bbox: 0.2027, loss_mask: 0.2186, loss: 0.6170 2024-05-28 02:58:34,101 - mmdet - INFO - Epoch [11][6800/7330] lr: 1.000e-05, eta: 1:10:26, time: 0.517, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0345, loss_cls: 0.1563, acc: 94.0339, loss_bbox: 0.2182, loss_mask: 0.2262, loss: 0.6529 2024-05-28 02:58:59,987 - mmdet - INFO - Epoch [11][6850/7330] lr: 1.000e-05, eta: 1:09:59, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0325, loss_cls: 0.1477, acc: 94.3750, loss_bbox: 0.2033, loss_mask: 0.2141, loss: 0.6137 2024-05-28 02:59:25,915 - mmdet - INFO - Epoch [11][6900/7330] lr: 1.000e-05, eta: 1:09:33, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0340, loss_cls: 0.1540, acc: 94.1587, loss_bbox: 0.2112, loss_mask: 0.2213, loss: 0.6380 2024-05-28 02:59:52,036 - mmdet - INFO - Epoch [11][6950/7330] lr: 1.000e-05, eta: 1:09:06, time: 0.522, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0355, loss_cls: 0.1554, acc: 94.1306, loss_bbox: 0.2138, loss_mask: 0.2241, loss: 0.6467 2024-05-28 03:00:18,013 - mmdet - INFO - Epoch [11][7000/7330] lr: 1.000e-05, eta: 1:08:39, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0323, loss_cls: 0.1502, acc: 94.3430, loss_bbox: 0.2067, loss_mask: 0.2126, loss: 0.6175 2024-05-28 03:00:51,034 - mmdet - INFO - Epoch [11][7050/7330] lr: 1.000e-05, eta: 1:08:12, time: 0.660, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0337, loss_cls: 0.1533, acc: 94.2388, loss_bbox: 0.2075, loss_mask: 0.2169, loss: 0.6291 2024-05-28 03:01:17,134 - mmdet - INFO - Epoch [11][7100/7330] lr: 1.000e-05, eta: 1:07:45, time: 0.522, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0365, loss_cls: 0.1607, acc: 93.9448, loss_bbox: 0.2188, loss_mask: 0.2222, loss: 0.6557 2024-05-28 03:01:46,223 - mmdet - INFO - Epoch [11][7150/7330] lr: 1.000e-05, eta: 1:07:19, time: 0.582, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0335, loss_cls: 0.1474, acc: 94.4448, loss_bbox: 0.2043, loss_mask: 0.2198, loss: 0.6213 2024-05-28 03:02:19,095 - mmdet - INFO - Epoch [11][7200/7330] lr: 1.000e-05, eta: 1:06:52, time: 0.657, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0336, loss_cls: 0.1518, acc: 94.2278, loss_bbox: 0.2070, loss_mask: 0.2174, loss: 0.6277 2024-05-28 03:02:47,260 - mmdet - INFO - Epoch [11][7250/7330] lr: 1.000e-05, eta: 1:06:26, time: 0.563, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0349, loss_cls: 0.1563, acc: 94.0400, loss_bbox: 0.2172, loss_mask: 0.2210, loss: 0.6469 2024-05-28 03:03:13,411 - mmdet - INFO - Epoch [11][7300/7330] lr: 1.000e-05, eta: 1:05:59, time: 0.523, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0353, loss_cls: 0.1613, acc: 93.8374, loss_bbox: 0.2231, loss_mask: 0.2308, loss: 0.6689 2024-05-28 03:03:29,655 - mmdet - INFO - Saving checkpoint at 11 epochs 2024-05-28 03:05:08,627 - mmdet - INFO - Evaluating bbox... 2024-05-28 03:05:29,156 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.435 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.654 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.468 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.237 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.476 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.617 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.545 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.545 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.545 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.322 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.729 2024-05-28 03:05:29,157 - mmdet - INFO - Evaluating segm... 2024-05-28 03:05:52,132 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.385 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.620 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.406 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.166 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.420 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.607 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.486 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.486 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.486 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.257 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.538 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.687 2024-05-28 03:05:52,496 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-28 03:05:52,498 - mmdet - INFO - Epoch(val) [11][625] bbox_mAP: 0.4350, bbox_mAP_50: 0.6540, bbox_mAP_75: 0.4680, bbox_mAP_s: 0.2370, bbox_mAP_m: 0.4760, bbox_mAP_l: 0.6170, bbox_mAP_copypaste: 0.435 0.654 0.468 0.237 0.476 0.617, segm_mAP: 0.3850, segm_mAP_50: 0.6200, segm_mAP_75: 0.4060, segm_mAP_s: 0.1660, segm_mAP_m: 0.4200, segm_mAP_l: 0.6070, segm_mAP_copypaste: 0.385 0.620 0.406 0.166 0.420 0.607 2024-05-28 03:06:32,580 - mmdet - INFO - Epoch [12][50/7330] lr: 1.000e-06, eta: 1:05:15, time: 0.801, data_time: 0.086, memory: 6051, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0363, loss_cls: 0.1619, acc: 93.8955, loss_bbox: 0.2223, loss_mask: 0.2241, loss: 0.6632 2024-05-28 03:07:00,684 - mmdet - INFO - Epoch [12][100/7330] lr: 1.000e-06, eta: 1:04:48, time: 0.562, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0338, loss_cls: 0.1518, acc: 94.2283, loss_bbox: 0.2088, loss_mask: 0.2184, loss: 0.6292 2024-05-28 03:07:26,459 - mmdet - INFO - Epoch [12][150/7330] lr: 1.000e-06, eta: 1:04:21, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0346, loss_cls: 0.1540, acc: 94.2332, loss_bbox: 0.2117, loss_mask: 0.2194, loss: 0.6372 2024-05-28 03:07:52,022 - mmdet - INFO - Epoch [12][200/7330] lr: 1.000e-06, eta: 1:03:54, time: 0.511, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0334, loss_cls: 0.1536, acc: 94.1362, loss_bbox: 0.2088, loss_mask: 0.2182, loss: 0.6307 2024-05-28 03:08:17,452 - mmdet - INFO - Epoch [12][250/7330] lr: 1.000e-06, eta: 1:03:27, time: 0.509, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0317, loss_cls: 0.1424, acc: 94.6582, loss_bbox: 0.1922, loss_mask: 0.2134, loss: 0.5941 2024-05-28 03:08:43,024 - mmdet - INFO - Epoch [12][300/7330] lr: 1.000e-06, eta: 1:03:00, time: 0.511, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0318, loss_cls: 0.1485, acc: 94.3330, loss_bbox: 0.2047, loss_mask: 0.2124, loss: 0.6131 2024-05-28 03:09:08,806 - mmdet - INFO - Epoch [12][350/7330] lr: 1.000e-06, eta: 1:02:33, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0325, loss_cls: 0.1536, acc: 94.1550, loss_bbox: 0.2137, loss_mask: 0.2256, loss: 0.6425 2024-05-28 03:09:34,521 - mmdet - INFO - Epoch [12][400/7330] lr: 1.000e-06, eta: 1:02:06, time: 0.514, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0332, loss_cls: 0.1490, acc: 94.2747, loss_bbox: 0.2093, loss_mask: 0.2207, loss: 0.6277 2024-05-28 03:10:00,440 - mmdet - INFO - Epoch [12][450/7330] lr: 1.000e-06, eta: 1:01:39, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0345, loss_cls: 0.1543, acc: 94.0837, loss_bbox: 0.2147, loss_mask: 0.2232, loss: 0.6434 2024-05-28 03:10:26,166 - mmdet - INFO - Epoch [12][500/7330] lr: 1.000e-06, eta: 1:01:12, time: 0.514, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0328, loss_cls: 0.1474, acc: 94.4268, loss_bbox: 0.2079, loss_mask: 0.2162, loss: 0.6211 2024-05-28 03:10:52,021 - mmdet - INFO - Epoch [12][550/7330] lr: 1.000e-06, eta: 1:00:46, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0344, loss_cls: 0.1509, acc: 94.2434, loss_bbox: 0.2112, loss_mask: 0.2227, loss: 0.6365 2024-05-28 03:11:17,815 - mmdet - INFO - Epoch [12][600/7330] lr: 1.000e-06, eta: 1:00:19, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0343, loss_cls: 0.1525, acc: 94.2114, loss_bbox: 0.2133, loss_mask: 0.2167, loss: 0.6323 2024-05-28 03:11:43,660 - mmdet - INFO - Epoch [12][650/7330] lr: 1.000e-06, eta: 0:59:52, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0333, loss_cls: 0.1510, acc: 94.2571, loss_bbox: 0.2062, loss_mask: 0.2137, loss: 0.6206 2024-05-28 03:12:09,295 - mmdet - INFO - Epoch [12][700/7330] lr: 1.000e-06, eta: 0:59:25, time: 0.513, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0328, loss_cls: 0.1480, acc: 94.3630, loss_bbox: 0.2023, loss_mask: 0.2140, loss: 0.6122 2024-05-28 03:12:34,907 - mmdet - INFO - Epoch [12][750/7330] lr: 1.000e-06, eta: 0:58:58, time: 0.512, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0308, loss_cls: 0.1465, acc: 94.4683, loss_bbox: 0.2060, loss_mask: 0.2171, loss: 0.6163 2024-05-28 03:13:00,875 - mmdet - INFO - Epoch [12][800/7330] lr: 1.000e-06, eta: 0:58:31, time: 0.519, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0332, loss_cls: 0.1526, acc: 94.2483, loss_bbox: 0.2092, loss_mask: 0.2161, loss: 0.6258 2024-05-28 03:13:26,588 - mmdet - INFO - Epoch [12][850/7330] lr: 1.000e-06, eta: 0:58:04, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0324, loss_cls: 0.1491, acc: 94.3401, loss_bbox: 0.2079, loss_mask: 0.2143, loss: 0.6197 2024-05-28 03:13:54,439 - mmdet - INFO - Epoch [12][900/7330] lr: 1.000e-06, eta: 0:57:37, time: 0.557, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0329, loss_cls: 0.1456, acc: 94.5457, loss_bbox: 0.2039, loss_mask: 0.2177, loss: 0.6159 2024-05-28 03:14:22,391 - mmdet - INFO - Epoch [12][950/7330] lr: 1.000e-06, eta: 0:57:10, time: 0.559, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0330, loss_cls: 0.1435, acc: 94.4919, loss_bbox: 0.2017, loss_mask: 0.2138, loss: 0.6078 2024-05-28 03:14:52,794 - mmdet - INFO - Epoch [12][1000/7330] lr: 1.000e-06, eta: 0:56:43, time: 0.608, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0324, loss_cls: 0.1480, acc: 94.3850, loss_bbox: 0.2079, loss_mask: 0.2178, loss: 0.6205 2024-05-28 03:15:25,503 - mmdet - INFO - Epoch [12][1050/7330] lr: 1.000e-06, eta: 0:56:17, time: 0.612, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0334, loss_cls: 0.1470, acc: 94.3716, loss_bbox: 0.2057, loss_mask: 0.2136, loss: 0.6160 2024-05-28 03:15:53,435 - mmdet - INFO - Epoch [12][1100/7330] lr: 1.000e-06, eta: 0:55:50, time: 0.601, data_time: 0.059, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0340, loss_cls: 0.1458, acc: 94.5571, loss_bbox: 0.2003, loss_mask: 0.2123, loss: 0.6081 2024-05-28 03:16:18,851 - mmdet - INFO - Epoch [12][1150/7330] lr: 1.000e-06, eta: 0:55:23, time: 0.508, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0314, loss_cls: 0.1416, acc: 94.6260, loss_bbox: 0.1995, loss_mask: 0.2118, loss: 0.5999 2024-05-28 03:16:44,278 - mmdet - INFO - Epoch [12][1200/7330] lr: 1.000e-06, eta: 0:54:56, time: 0.508, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0303, loss_cls: 0.1466, acc: 94.3999, loss_bbox: 0.2043, loss_mask: 0.2178, loss: 0.6138 2024-05-28 03:17:09,877 - mmdet - INFO - Epoch [12][1250/7330] lr: 1.000e-06, eta: 0:54:29, time: 0.512, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0335, loss_cls: 0.1473, acc: 94.3894, loss_bbox: 0.2062, loss_mask: 0.2161, loss: 0.6195 2024-05-28 03:17:35,795 - mmdet - INFO - Epoch [12][1300/7330] lr: 1.000e-06, eta: 0:54:02, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0325, loss_cls: 0.1572, acc: 93.9944, loss_bbox: 0.2143, loss_mask: 0.2213, loss: 0.6405 2024-05-28 03:18:01,509 - mmdet - INFO - Epoch [12][1350/7330] lr: 1.000e-06, eta: 0:53:35, time: 0.514, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0327, loss_cls: 0.1522, acc: 94.2185, loss_bbox: 0.2086, loss_mask: 0.2184, loss: 0.6276 2024-05-28 03:18:27,350 - mmdet - INFO - Epoch [12][1400/7330] lr: 1.000e-06, eta: 0:53:08, time: 0.517, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0354, loss_cls: 0.1553, acc: 94.0842, loss_bbox: 0.2134, loss_mask: 0.2239, loss: 0.6454 2024-05-28 03:18:53,092 - mmdet - INFO - Epoch [12][1450/7330] lr: 1.000e-06, eta: 0:52:41, time: 0.515, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0317, loss_cls: 0.1443, acc: 94.4683, loss_bbox: 0.2027, loss_mask: 0.2131, loss: 0.6069 2024-05-28 03:19:18,707 - mmdet - INFO - Epoch [12][1500/7330] lr: 1.000e-06, eta: 0:52:14, time: 0.512, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0331, loss_cls: 0.1529, acc: 94.2576, loss_bbox: 0.2090, loss_mask: 0.2184, loss: 0.6286 2024-05-28 03:19:44,406 - mmdet - INFO - Epoch [12][1550/7330] lr: 1.000e-06, eta: 0:51:47, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0348, loss_cls: 0.1489, acc: 94.3057, loss_bbox: 0.2057, loss_mask: 0.2191, loss: 0.6235 2024-05-28 03:20:10,147 - mmdet - INFO - Epoch [12][1600/7330] lr: 1.000e-06, eta: 0:51:20, time: 0.515, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0320, loss_cls: 0.1446, acc: 94.4524, loss_bbox: 0.2027, loss_mask: 0.2182, loss: 0.6117 2024-05-28 03:20:35,856 - mmdet - INFO - Epoch [12][1650/7330] lr: 1.000e-06, eta: 0:50:53, time: 0.514, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0320, loss_cls: 0.1497, acc: 94.3083, loss_bbox: 0.2067, loss_mask: 0.2139, loss: 0.6180 2024-05-28 03:21:01,652 - mmdet - INFO - Epoch [12][1700/7330] lr: 1.000e-06, eta: 0:50:26, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0330, loss_cls: 0.1480, acc: 94.3594, loss_bbox: 0.2074, loss_mask: 0.2176, loss: 0.6215 2024-05-28 03:21:27,227 - mmdet - INFO - Epoch [12][1750/7330] lr: 1.000e-06, eta: 0:50:00, time: 0.511, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0342, loss_cls: 0.1553, acc: 94.1396, loss_bbox: 0.2170, loss_mask: 0.2185, loss: 0.6416 2024-05-28 03:21:54,784 - mmdet - INFO - Epoch [12][1800/7330] lr: 1.000e-06, eta: 0:49:33, time: 0.551, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0337, loss_cls: 0.1565, acc: 94.0503, loss_bbox: 0.2171, loss_mask: 0.2267, loss: 0.6508 2024-05-28 03:22:24,675 - mmdet - INFO - Epoch [12][1850/7330] lr: 1.000e-06, eta: 0:49:06, time: 0.598, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0308, loss_cls: 0.1385, acc: 94.7146, loss_bbox: 0.1971, loss_mask: 0.2114, loss: 0.5921 2024-05-28 03:22:52,346 - mmdet - INFO - Epoch [12][1900/7330] lr: 1.000e-06, eta: 0:48:39, time: 0.553, data_time: 0.015, memory: 6051, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0289, loss_cls: 0.1393, acc: 94.6550, loss_bbox: 0.1961, loss_mask: 0.2111, loss: 0.5888 2024-05-28 03:23:26,013 - mmdet - INFO - Epoch [12][1950/7330] lr: 1.000e-06, eta: 0:48:13, time: 0.673, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0338, loss_cls: 0.1474, acc: 94.4539, loss_bbox: 0.2015, loss_mask: 0.2192, loss: 0.6179 2024-05-28 03:23:53,441 - mmdet - INFO - Epoch [12][2000/7330] lr: 1.000e-06, eta: 0:47:46, time: 0.548, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0327, loss_cls: 0.1515, acc: 94.2317, loss_bbox: 0.2079, loss_mask: 0.2156, loss: 0.6238 2024-05-28 03:24:19,281 - mmdet - INFO - Epoch [12][2050/7330] lr: 1.000e-06, eta: 0:47:19, time: 0.517, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0320, loss_cls: 0.1522, acc: 94.2285, loss_bbox: 0.2106, loss_mask: 0.2195, loss: 0.6303 2024-05-28 03:24:44,962 - mmdet - INFO - Epoch [12][2100/7330] lr: 1.000e-06, eta: 0:46:52, time: 0.514, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0311, loss_cls: 0.1428, acc: 94.5835, loss_bbox: 0.1970, loss_mask: 0.2143, loss: 0.5992 2024-05-28 03:25:10,731 - mmdet - INFO - Epoch [12][2150/7330] lr: 1.000e-06, eta: 0:46:25, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0322, loss_cls: 0.1491, acc: 94.3115, loss_bbox: 0.2091, loss_mask: 0.2158, loss: 0.6210 2024-05-28 03:25:36,463 - mmdet - INFO - Epoch [12][2200/7330] lr: 1.000e-06, eta: 0:45:58, time: 0.515, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0331, loss_cls: 0.1485, acc: 94.2683, loss_bbox: 0.2022, loss_mask: 0.2160, loss: 0.6158 2024-05-28 03:26:02,101 - mmdet - INFO - Epoch [12][2250/7330] lr: 1.000e-06, eta: 0:45:31, time: 0.513, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0333, loss_cls: 0.1514, acc: 94.1628, loss_bbox: 0.2096, loss_mask: 0.2216, loss: 0.6314 2024-05-28 03:26:27,904 - mmdet - INFO - Epoch [12][2300/7330] lr: 1.000e-06, eta: 0:45:04, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0327, loss_cls: 0.1501, acc: 94.2625, loss_bbox: 0.2066, loss_mask: 0.2113, loss: 0.6169 2024-05-28 03:26:53,455 - mmdet - INFO - Epoch [12][2350/7330] lr: 1.000e-06, eta: 0:44:37, time: 0.511, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0320, loss_cls: 0.1438, acc: 94.4768, loss_bbox: 0.1992, loss_mask: 0.2127, loss: 0.6017 2024-05-28 03:27:19,356 - mmdet - INFO - Epoch [12][2400/7330] lr: 1.000e-06, eta: 0:44:10, time: 0.518, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0304, loss_cls: 0.1433, acc: 94.5371, loss_bbox: 0.1995, loss_mask: 0.2169, loss: 0.6039 2024-05-28 03:27:44,952 - mmdet - INFO - Epoch [12][2450/7330] lr: 1.000e-06, eta: 0:43:43, time: 0.512, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0316, loss_cls: 0.1444, acc: 94.4746, loss_bbox: 0.2056, loss_mask: 0.2136, loss: 0.6095 2024-05-28 03:28:10,734 - mmdet - INFO - Epoch [12][2500/7330] lr: 1.000e-06, eta: 0:43:16, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0330, loss_cls: 0.1518, acc: 94.2761, loss_bbox: 0.2123, loss_mask: 0.2190, loss: 0.6324 2024-05-28 03:28:36,474 - mmdet - INFO - Epoch [12][2550/7330] lr: 1.000e-06, eta: 0:42:49, time: 0.515, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0312, loss_cls: 0.1440, acc: 94.5776, loss_bbox: 0.1982, loss_mask: 0.2092, loss: 0.5982 2024-05-28 03:29:02,244 - mmdet - INFO - Epoch [12][2600/7330] lr: 1.000e-06, eta: 0:42:22, time: 0.515, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0344, loss_cls: 0.1554, acc: 94.1460, loss_bbox: 0.2131, loss_mask: 0.2228, loss: 0.6426 2024-05-28 03:29:29,877 - mmdet - INFO - Epoch [12][2650/7330] lr: 1.000e-06, eta: 0:41:56, time: 0.552, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0310, loss_cls: 0.1437, acc: 94.4761, loss_bbox: 0.2012, loss_mask: 0.2152, loss: 0.6054 2024-05-28 03:29:58,141 - mmdet - INFO - Epoch [12][2700/7330] lr: 1.000e-06, eta: 0:41:29, time: 0.565, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0348, loss_cls: 0.1501, acc: 94.2600, loss_bbox: 0.2095, loss_mask: 0.2130, loss: 0.6240 2024-05-28 03:30:28,144 - mmdet - INFO - Epoch [12][2750/7330] lr: 1.000e-06, eta: 0:41:02, time: 0.600, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0323, loss_cls: 0.1510, acc: 94.2510, loss_bbox: 0.2096, loss_mask: 0.2216, loss: 0.6314 2024-05-28 03:31:02,507 - mmdet - INFO - Epoch [12][2800/7330] lr: 1.000e-06, eta: 0:40:36, time: 0.687, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0349, loss_cls: 0.1553, acc: 94.1694, loss_bbox: 0.2142, loss_mask: 0.2218, loss: 0.6427 2024-05-28 03:31:30,629 - mmdet - INFO - Epoch [12][2850/7330] lr: 1.000e-06, eta: 0:40:09, time: 0.562, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0355, loss_cls: 0.1577, acc: 93.9409, loss_bbox: 0.2214, loss_mask: 0.2252, loss: 0.6567 2024-05-28 03:31:56,451 - mmdet - INFO - Epoch [12][2900/7330] lr: 1.000e-06, eta: 0:39:42, time: 0.516, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0338, loss_cls: 0.1545, acc: 94.1145, loss_bbox: 0.2152, loss_mask: 0.2224, loss: 0.6420 2024-05-28 03:32:22,334 - mmdet - INFO - Epoch [12][2950/7330] lr: 1.000e-06, eta: 0:39:15, time: 0.518, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0338, loss_cls: 0.1523, acc: 94.1687, loss_bbox: 0.2102, loss_mask: 0.2180, loss: 0.6306 2024-05-28 03:32:47,934 - mmdet - INFO - Epoch [12][3000/7330] lr: 1.000e-06, eta: 0:38:48, time: 0.512, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0354, loss_cls: 0.1570, acc: 94.0774, loss_bbox: 0.2146, loss_mask: 0.2206, loss: 0.6472 2024-05-28 03:33:13,596 - mmdet - INFO - Epoch [12][3050/7330] lr: 1.000e-06, eta: 0:38:21, time: 0.513, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0318, loss_cls: 0.1470, acc: 94.4065, loss_bbox: 0.2056, loss_mask: 0.2163, loss: 0.6162 2024-05-28 03:33:39,189 - mmdet - INFO - Epoch [12][3100/7330] lr: 1.000e-06, eta: 0:37:54, time: 0.512, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0341, loss_cls: 0.1489, acc: 94.3398, loss_bbox: 0.2059, loss_mask: 0.2172, loss: 0.6248 2024-05-28 03:34:04,888 - mmdet - INFO - Epoch [12][3150/7330] lr: 1.000e-06, eta: 0:37:27, time: 0.514, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0330, loss_cls: 0.1470, acc: 94.5000, loss_bbox: 0.2017, loss_mask: 0.2149, loss: 0.6138 2024-05-28 03:34:30,654 - mmdet - INFO - Epoch [12][3200/7330] lr: 1.000e-06, eta: 0:37:00, time: 0.515, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0340, loss_cls: 0.1527, acc: 94.2578, loss_bbox: 0.2089, loss_mask: 0.2181, loss: 0.6306 2024-05-28 03:34:56,382 - mmdet - INFO - Epoch [12][3250/7330] lr: 1.000e-06, eta: 0:36:33, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0324, loss_cls: 0.1509, acc: 94.2852, loss_bbox: 0.2075, loss_mask: 0.2170, loss: 0.6243 2024-05-28 03:35:21,973 - mmdet - INFO - Epoch [12][3300/7330] lr: 1.000e-06, eta: 0:36:06, time: 0.512, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0311, loss_cls: 0.1435, acc: 94.4976, loss_bbox: 0.2037, loss_mask: 0.2181, loss: 0.6120 2024-05-28 03:35:47,628 - mmdet - INFO - Epoch [12][3350/7330] lr: 1.000e-06, eta: 0:35:39, time: 0.513, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0332, loss_cls: 0.1479, acc: 94.3647, loss_bbox: 0.2054, loss_mask: 0.2189, loss: 0.6215 2024-05-28 03:36:13,124 - mmdet - INFO - Epoch [12][3400/7330] lr: 1.000e-06, eta: 0:35:12, time: 0.510, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0318, loss_cls: 0.1421, acc: 94.6196, loss_bbox: 0.2004, loss_mask: 0.2203, loss: 0.6105 2024-05-28 03:36:38,802 - mmdet - INFO - Epoch [12][3450/7330] lr: 1.000e-06, eta: 0:34:45, time: 0.514, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0344, loss_cls: 0.1510, acc: 94.2043, loss_bbox: 0.2075, loss_mask: 0.2162, loss: 0.6270 2024-05-28 03:37:04,577 - mmdet - INFO - Epoch [12][3500/7330] lr: 1.000e-06, eta: 0:34:18, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0337, loss_cls: 0.1536, acc: 94.1421, loss_bbox: 0.2118, loss_mask: 0.2161, loss: 0.6317 2024-05-28 03:37:40,004 - mmdet - INFO - Epoch [12][3550/7330] lr: 1.000e-06, eta: 0:33:52, time: 0.709, data_time: 0.122, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0338, loss_cls: 0.1546, acc: 94.0852, loss_bbox: 0.2149, loss_mask: 0.2238, loss: 0.6439 2024-05-28 03:38:07,827 - mmdet - INFO - Epoch [12][3600/7330] lr: 1.000e-06, eta: 0:33:25, time: 0.556, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0334, loss_cls: 0.1522, acc: 94.2529, loss_bbox: 0.2080, loss_mask: 0.2168, loss: 0.6260 2024-05-28 03:38:36,114 - mmdet - INFO - Epoch [12][3650/7330] lr: 1.000e-06, eta: 0:32:58, time: 0.566, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0341, loss_cls: 0.1579, acc: 94.0359, loss_bbox: 0.2162, loss_mask: 0.2208, loss: 0.6460 2024-05-28 03:39:09,951 - mmdet - INFO - Epoch [12][3700/7330] lr: 1.000e-06, eta: 0:32:32, time: 0.677, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0320, loss_cls: 0.1491, acc: 94.3318, loss_bbox: 0.2023, loss_mask: 0.2186, loss: 0.6172 2024-05-28 03:39:37,914 - mmdet - INFO - Epoch [12][3750/7330] lr: 1.000e-06, eta: 0:32:05, time: 0.559, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0348, loss_cls: 0.1533, acc: 94.0950, loss_bbox: 0.2138, loss_mask: 0.2242, loss: 0.6432 2024-05-28 03:40:04,059 - mmdet - INFO - Epoch [12][3800/7330] lr: 1.000e-06, eta: 0:31:38, time: 0.523, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0332, loss_cls: 0.1533, acc: 94.1858, loss_bbox: 0.2140, loss_mask: 0.2171, loss: 0.6345 2024-05-28 03:40:29,848 - mmdet - INFO - Epoch [12][3850/7330] lr: 1.000e-06, eta: 0:31:11, time: 0.516, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0320, loss_cls: 0.1416, acc: 94.6343, loss_bbox: 0.1990, loss_mask: 0.2185, loss: 0.6069 2024-05-28 03:40:55,477 - mmdet - INFO - Epoch [12][3900/7330] lr: 1.000e-06, eta: 0:30:44, time: 0.513, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0345, loss_cls: 0.1467, acc: 94.4802, loss_bbox: 0.2015, loss_mask: 0.2174, loss: 0.6175 2024-05-28 03:41:21,107 - mmdet - INFO - Epoch [12][3950/7330] lr: 1.000e-06, eta: 0:30:17, time: 0.512, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0354, loss_cls: 0.1561, acc: 94.0476, loss_bbox: 0.2172, loss_mask: 0.2250, loss: 0.6502 2024-05-28 03:41:46,627 - mmdet - INFO - Epoch [12][4000/7330] lr: 1.000e-06, eta: 0:29:50, time: 0.511, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0318, loss_cls: 0.1435, acc: 94.4973, loss_bbox: 0.1994, loss_mask: 0.2146, loss: 0.6038 2024-05-28 03:42:12,504 - mmdet - INFO - Epoch [12][4050/7330] lr: 1.000e-06, eta: 0:29:23, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0363, loss_cls: 0.1550, acc: 94.0688, loss_bbox: 0.2158, loss_mask: 0.2192, loss: 0.6435 2024-05-28 03:42:38,344 - mmdet - INFO - Epoch [12][4100/7330] lr: 1.000e-06, eta: 0:28:56, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0343, loss_cls: 0.1527, acc: 94.1125, loss_bbox: 0.2143, loss_mask: 0.2165, loss: 0.6328 2024-05-28 03:43:04,298 - mmdet - INFO - Epoch [12][4150/7330] lr: 1.000e-06, eta: 0:28:29, time: 0.519, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0360, loss_cls: 0.1542, acc: 94.1279, loss_bbox: 0.2150, loss_mask: 0.2251, loss: 0.6482 2024-05-28 03:43:30,395 - mmdet - INFO - Epoch [12][4200/7330] lr: 1.000e-06, eta: 0:28:03, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0320, loss_cls: 0.1437, acc: 94.6238, loss_bbox: 0.2003, loss_mask: 0.2144, loss: 0.6068 2024-05-28 03:43:56,161 - mmdet - INFO - Epoch [12][4250/7330] lr: 1.000e-06, eta: 0:27:36, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0322, loss_cls: 0.1442, acc: 94.5188, loss_bbox: 0.2005, loss_mask: 0.2120, loss: 0.6042 2024-05-28 03:44:22,140 - mmdet - INFO - Epoch [12][4300/7330] lr: 1.000e-06, eta: 0:27:09, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0322, loss_cls: 0.1501, acc: 94.2368, loss_bbox: 0.2033, loss_mask: 0.2142, loss: 0.6157 2024-05-28 03:44:47,930 - mmdet - INFO - Epoch [12][4350/7330] lr: 1.000e-06, eta: 0:26:42, time: 0.516, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0331, loss_cls: 0.1500, acc: 94.3782, loss_bbox: 0.2061, loss_mask: 0.2168, loss: 0.6226 2024-05-28 03:45:16,438 - mmdet - INFO - Epoch [12][4400/7330] lr: 1.000e-06, eta: 0:26:15, time: 0.570, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0310, loss_cls: 0.1416, acc: 94.5183, loss_bbox: 0.2018, loss_mask: 0.2189, loss: 0.6081 2024-05-28 03:45:44,288 - mmdet - INFO - Epoch [12][4450/7330] lr: 1.000e-06, eta: 0:25:48, time: 0.557, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0303, loss_cls: 0.1404, acc: 94.6667, loss_bbox: 0.2002, loss_mask: 0.2135, loss: 0.5978 2024-05-28 03:46:14,385 - mmdet - INFO - Epoch [12][4500/7330] lr: 1.000e-06, eta: 0:25:21, time: 0.602, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0319, loss_cls: 0.1465, acc: 94.4438, loss_bbox: 0.2034, loss_mask: 0.2145, loss: 0.6124 2024-05-28 03:46:47,763 - mmdet - INFO - Epoch [12][4550/7330] lr: 1.000e-06, eta: 0:24:55, time: 0.668, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0337, loss_cls: 0.1531, acc: 94.2065, loss_bbox: 0.2077, loss_mask: 0.2204, loss: 0.6315 2024-05-28 03:47:16,066 - mmdet - INFO - Epoch [12][4600/7330] lr: 1.000e-06, eta: 0:24:28, time: 0.566, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0333, loss_cls: 0.1557, acc: 94.0623, loss_bbox: 0.2138, loss_mask: 0.2196, loss: 0.6404 2024-05-28 03:47:41,937 - mmdet - INFO - Epoch [12][4650/7330] lr: 1.000e-06, eta: 0:24:01, time: 0.517, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0318, loss_cls: 0.1478, acc: 94.4697, loss_bbox: 0.2043, loss_mask: 0.2167, loss: 0.6169 2024-05-28 03:48:07,716 - mmdet - INFO - Epoch [12][4700/7330] lr: 1.000e-06, eta: 0:23:34, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0335, loss_cls: 0.1476, acc: 94.4500, loss_bbox: 0.2060, loss_mask: 0.2192, loss: 0.6220 2024-05-28 03:48:33,849 - mmdet - INFO - Epoch [12][4750/7330] lr: 1.000e-06, eta: 0:23:07, time: 0.523, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0329, loss_cls: 0.1449, acc: 94.5042, loss_bbox: 0.2043, loss_mask: 0.2166, loss: 0.6144 2024-05-28 03:48:59,737 - mmdet - INFO - Epoch [12][4800/7330] lr: 1.000e-06, eta: 0:22:40, time: 0.518, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0321, loss_cls: 0.1513, acc: 94.3079, loss_bbox: 0.2107, loss_mask: 0.2202, loss: 0.6302 2024-05-28 03:49:25,551 - mmdet - INFO - Epoch [12][4850/7330] lr: 1.000e-06, eta: 0:22:13, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0339, loss_cls: 0.1482, acc: 94.4326, loss_bbox: 0.2037, loss_mask: 0.2169, loss: 0.6195 2024-05-28 03:49:51,548 - mmdet - INFO - Epoch [12][4900/7330] lr: 1.000e-06, eta: 0:21:46, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0347, loss_cls: 0.1515, acc: 94.2615, loss_bbox: 0.2091, loss_mask: 0.2207, loss: 0.6326 2024-05-28 03:50:17,597 - mmdet - INFO - Epoch [12][4950/7330] lr: 1.000e-06, eta: 0:21:19, time: 0.521, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0336, loss_cls: 0.1487, acc: 94.3660, loss_bbox: 0.2052, loss_mask: 0.2215, loss: 0.6251 2024-05-28 03:50:43,467 - mmdet - INFO - Epoch [12][5000/7330] lr: 1.000e-06, eta: 0:20:52, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0323, loss_cls: 0.1494, acc: 94.3608, loss_bbox: 0.2036, loss_mask: 0.2169, loss: 0.6182 2024-05-28 03:51:09,650 - mmdet - INFO - Epoch [12][5050/7330] lr: 1.000e-06, eta: 0:20:26, time: 0.524, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0329, loss_cls: 0.1441, acc: 94.5676, loss_bbox: 0.2022, loss_mask: 0.2117, loss: 0.6076 2024-05-28 03:51:35,482 - mmdet - INFO - Epoch [12][5100/7330] lr: 1.000e-06, eta: 0:19:59, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0340, loss_cls: 0.1483, acc: 94.4126, loss_bbox: 0.2067, loss_mask: 0.2161, loss: 0.6218 2024-05-28 03:52:01,490 - mmdet - INFO - Epoch [12][5150/7330] lr: 1.000e-06, eta: 0:19:32, time: 0.520, data_time: 0.017, memory: 6051, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0305, loss_cls: 0.1447, acc: 94.4951, loss_bbox: 0.2031, loss_mask: 0.2111, loss: 0.6044 2024-05-28 03:52:27,343 - mmdet - INFO - Epoch [12][5200/7330] lr: 1.000e-06, eta: 0:19:05, time: 0.517, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0329, loss_cls: 0.1479, acc: 94.3298, loss_bbox: 0.2050, loss_mask: 0.2169, loss: 0.6180 2024-05-28 03:52:53,241 - mmdet - INFO - Epoch [12][5250/7330] lr: 1.000e-06, eta: 0:18:38, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0335, loss_cls: 0.1545, acc: 94.1953, loss_bbox: 0.2055, loss_mask: 0.2130, loss: 0.6229 2024-05-28 03:53:22,036 - mmdet - INFO - Epoch [12][5300/7330] lr: 1.000e-06, eta: 0:18:11, time: 0.576, data_time: 0.016, memory: 6051, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0320, loss_cls: 0.1486, acc: 94.3264, loss_bbox: 0.2055, loss_mask: 0.2131, loss: 0.6142 2024-05-28 03:53:52,372 - mmdet - INFO - Epoch [12][5350/7330] lr: 1.000e-06, eta: 0:17:44, time: 0.607, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0350, loss_cls: 0.1471, acc: 94.4075, loss_bbox: 0.2039, loss_mask: 0.2164, loss: 0.6180 2024-05-28 03:54:20,539 - mmdet - INFO - Epoch [12][5400/7330] lr: 1.000e-06, eta: 0:17:17, time: 0.563, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0341, loss_cls: 0.1460, acc: 94.3855, loss_bbox: 0.2054, loss_mask: 0.2176, loss: 0.6189 2024-05-28 03:54:53,439 - mmdet - INFO - Epoch [12][5450/7330] lr: 1.000e-06, eta: 0:16:51, time: 0.658, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0331, loss_cls: 0.1473, acc: 94.5017, loss_bbox: 0.2022, loss_mask: 0.2130, loss: 0.6121 2024-05-28 03:55:21,589 - mmdet - INFO - Epoch [12][5500/7330] lr: 1.000e-06, eta: 0:16:24, time: 0.563, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0322, loss_cls: 0.1489, acc: 94.3486, loss_bbox: 0.2074, loss_mask: 0.2178, loss: 0.6229 2024-05-28 03:55:47,472 - mmdet - INFO - Epoch [12][5550/7330] lr: 1.000e-06, eta: 0:15:57, time: 0.518, data_time: 0.023, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0331, loss_cls: 0.1497, acc: 94.3784, loss_bbox: 0.2084, loss_mask: 0.2139, loss: 0.6215 2024-05-28 03:56:13,395 - mmdet - INFO - Epoch [12][5600/7330] lr: 1.000e-06, eta: 0:15:30, time: 0.518, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0322, loss_cls: 0.1465, acc: 94.5208, loss_bbox: 0.2005, loss_mask: 0.2116, loss: 0.6051 2024-05-28 03:56:39,462 - mmdet - INFO - Epoch [12][5650/7330] lr: 1.000e-06, eta: 0:15:03, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0307, loss_cls: 0.1469, acc: 94.3506, loss_bbox: 0.2051, loss_mask: 0.2141, loss: 0.6112 2024-05-28 03:57:05,659 - mmdet - INFO - Epoch [12][5700/7330] lr: 1.000e-06, eta: 0:14:36, time: 0.524, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0348, loss_cls: 0.1601, acc: 93.8784, loss_bbox: 0.2194, loss_mask: 0.2242, loss: 0.6568 2024-05-28 03:57:31,830 - mmdet - INFO - Epoch [12][5750/7330] lr: 1.000e-06, eta: 0:14:09, time: 0.523, data_time: 0.022, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0343, loss_cls: 0.1502, acc: 94.1868, loss_bbox: 0.2102, loss_mask: 0.2232, loss: 0.6348 2024-05-28 03:57:57,982 - mmdet - INFO - Epoch [12][5800/7330] lr: 1.000e-06, eta: 0:13:42, time: 0.523, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0342, loss_cls: 0.1485, acc: 94.3315, loss_bbox: 0.2088, loss_mask: 0.2157, loss: 0.6229 2024-05-28 03:58:23,960 - mmdet - INFO - Epoch [12][5850/7330] lr: 1.000e-06, eta: 0:13:15, time: 0.520, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0328, loss_cls: 0.1454, acc: 94.4888, loss_bbox: 0.2033, loss_mask: 0.2136, loss: 0.6093 2024-05-28 03:58:50,017 - mmdet - INFO - Epoch [12][5900/7330] lr: 1.000e-06, eta: 0:12:49, time: 0.521, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0328, loss_cls: 0.1489, acc: 94.3164, loss_bbox: 0.2053, loss_mask: 0.2142, loss: 0.6178 2024-05-28 03:59:16,001 - mmdet - INFO - Epoch [12][5950/7330] lr: 1.000e-06, eta: 0:12:22, time: 0.520, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0338, loss_cls: 0.1475, acc: 94.4395, loss_bbox: 0.2020, loss_mask: 0.2136, loss: 0.6129 2024-05-28 03:59:41,997 - mmdet - INFO - Epoch [12][6000/7330] lr: 1.000e-06, eta: 0:11:55, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0327, loss_cls: 0.1461, acc: 94.5100, loss_bbox: 0.1998, loss_mask: 0.2190, loss: 0.6137 2024-05-28 04:00:08,076 - mmdet - INFO - Epoch [12][6050/7330] lr: 1.000e-06, eta: 0:11:28, time: 0.522, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0326, loss_cls: 0.1435, acc: 94.5183, loss_bbox: 0.2017, loss_mask: 0.2136, loss: 0.6067 2024-05-28 04:00:34,291 - mmdet - INFO - Epoch [12][6100/7330] lr: 1.000e-06, eta: 0:11:01, time: 0.524, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0327, loss_cls: 0.1543, acc: 94.2532, loss_bbox: 0.2164, loss_mask: 0.2220, loss: 0.6421 2024-05-28 04:01:00,278 - mmdet - INFO - Epoch [12][6150/7330] lr: 1.000e-06, eta: 0:10:34, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0305, loss_cls: 0.1412, acc: 94.6506, loss_bbox: 0.1959, loss_mask: 0.2092, loss: 0.5918 2024-05-28 04:01:31,954 - mmdet - INFO - Epoch [12][6200/7330] lr: 1.000e-06, eta: 0:10:07, time: 0.634, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0299, loss_cls: 0.1389, acc: 94.7351, loss_bbox: 0.1940, loss_mask: 0.2112, loss: 0.5888 2024-05-28 04:02:00,219 - mmdet - INFO - Epoch [12][6250/7330] lr: 1.000e-06, eta: 0:09:40, time: 0.565, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0313, loss_cls: 0.1442, acc: 94.5520, loss_bbox: 0.2060, loss_mask: 0.2213, loss: 0.6175 2024-05-28 04:02:32,909 - mmdet - INFO - Epoch [12][6300/7330] lr: 1.000e-06, eta: 0:09:13, time: 0.653, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0337, loss_cls: 0.1526, acc: 94.2051, loss_bbox: 0.2058, loss_mask: 0.2207, loss: 0.6293 2024-05-28 04:03:04,543 - mmdet - INFO - Epoch [12][6350/7330] lr: 1.000e-06, eta: 0:08:47, time: 0.633, data_time: 0.024, memory: 6051, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0327, loss_cls: 0.1455, acc: 94.4722, loss_bbox: 0.2054, loss_mask: 0.2171, loss: 0.6162 2024-05-28 04:03:30,365 - mmdet - INFO - Epoch [12][6400/7330] lr: 1.000e-06, eta: 0:08:20, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0327, loss_cls: 0.1438, acc: 94.4998, loss_bbox: 0.1997, loss_mask: 0.2167, loss: 0.6094 2024-05-28 04:03:56,299 - mmdet - INFO - Epoch [12][6450/7330] lr: 1.000e-06, eta: 0:07:53, time: 0.519, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0329, loss_cls: 0.1487, acc: 94.3711, loss_bbox: 0.2029, loss_mask: 0.2187, loss: 0.6203 2024-05-28 04:04:22,376 - mmdet - INFO - Epoch [12][6500/7330] lr: 1.000e-06, eta: 0:07:26, time: 0.522, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0348, loss_cls: 0.1475, acc: 94.4780, loss_bbox: 0.2019, loss_mask: 0.2165, loss: 0.6169 2024-05-28 04:04:48,251 - mmdet - INFO - Epoch [12][6550/7330] lr: 1.000e-06, eta: 0:06:59, time: 0.518, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0337, loss_cls: 0.1541, acc: 94.0835, loss_bbox: 0.2158, loss_mask: 0.2235, loss: 0.6431 2024-05-28 04:05:14,165 - mmdet - INFO - Epoch [12][6600/7330] lr: 1.000e-06, eta: 0:06:32, time: 0.518, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0326, loss_cls: 0.1505, acc: 94.3191, loss_bbox: 0.2082, loss_mask: 0.2177, loss: 0.6255 2024-05-28 04:05:40,150 - mmdet - INFO - Epoch [12][6650/7330] lr: 1.000e-06, eta: 0:06:05, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0340, loss_cls: 0.1481, acc: 94.3708, loss_bbox: 0.2059, loss_mask: 0.2184, loss: 0.6228 2024-05-28 04:06:06,180 - mmdet - INFO - Epoch [12][6700/7330] lr: 1.000e-06, eta: 0:05:38, time: 0.521, data_time: 0.021, memory: 6051, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0332, loss_cls: 0.1432, acc: 94.5337, loss_bbox: 0.2029, loss_mask: 0.2164, loss: 0.6104 2024-05-28 04:06:32,112 - mmdet - INFO - Epoch [12][6750/7330] lr: 1.000e-06, eta: 0:05:11, time: 0.519, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0311, loss_cls: 0.1484, acc: 94.3726, loss_bbox: 0.2077, loss_mask: 0.2130, loss: 0.6146 2024-05-28 04:06:57,942 - mmdet - INFO - Epoch [12][6800/7330] lr: 1.000e-06, eta: 0:04:45, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0348, loss_cls: 0.1536, acc: 94.1768, loss_bbox: 0.2092, loss_mask: 0.2193, loss: 0.6348 2024-05-28 04:07:23,678 - mmdet - INFO - Epoch [12][6850/7330] lr: 1.000e-06, eta: 0:04:18, time: 0.515, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0341, loss_cls: 0.1465, acc: 94.4270, loss_bbox: 0.2114, loss_mask: 0.2186, loss: 0.6271 2024-05-28 04:07:49,687 - mmdet - INFO - Epoch [12][6900/7330] lr: 1.000e-06, eta: 0:03:51, time: 0.520, data_time: 0.018, memory: 6051, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0337, loss_cls: 0.1519, acc: 94.2668, loss_bbox: 0.2106, loss_mask: 0.2180, loss: 0.6312 2024-05-28 04:08:15,493 - mmdet - INFO - Epoch [12][6950/7330] lr: 1.000e-06, eta: 0:03:24, time: 0.516, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0326, loss_cls: 0.1506, acc: 94.2412, loss_bbox: 0.2093, loss_mask: 0.2170, loss: 0.6253 2024-05-28 04:08:41,343 - mmdet - INFO - Epoch [12][7000/7330] lr: 1.000e-06, eta: 0:02:57, time: 0.517, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0321, loss_cls: 0.1471, acc: 94.4319, loss_bbox: 0.2068, loss_mask: 0.2166, loss: 0.6183 2024-05-28 04:09:13,592 - mmdet - INFO - Epoch [12][7050/7330] lr: 1.000e-06, eta: 0:02:30, time: 0.645, data_time: 0.084, memory: 6051, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0323, loss_cls: 0.1441, acc: 94.4668, loss_bbox: 0.2025, loss_mask: 0.2170, loss: 0.6115 2024-05-28 04:09:42,647 - mmdet - INFO - Epoch [12][7100/7330] lr: 1.000e-06, eta: 0:02:03, time: 0.581, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0324, loss_cls: 0.1437, acc: 94.5317, loss_bbox: 0.1996, loss_mask: 0.2135, loss: 0.6057 2024-05-28 04:10:13,286 - mmdet - INFO - Epoch [12][7150/7330] lr: 1.000e-06, eta: 0:01:36, time: 0.613, data_time: 0.019, memory: 6051, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0331, loss_cls: 0.1454, acc: 94.5359, loss_bbox: 0.2054, loss_mask: 0.2162, loss: 0.6172 2024-05-28 04:10:45,979 - mmdet - INFO - Epoch [12][7200/7330] lr: 1.000e-06, eta: 0:01:09, time: 0.654, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0341, loss_cls: 0.1533, acc: 94.1282, loss_bbox: 0.2107, loss_mask: 0.2184, loss: 0.6338 2024-05-28 04:11:15,412 - mmdet - INFO - Epoch [12][7250/7330] lr: 1.000e-06, eta: 0:00:43, time: 0.589, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0347, loss_cls: 0.1495, acc: 94.3723, loss_bbox: 0.2095, loss_mask: 0.2181, loss: 0.6283 2024-05-28 04:11:41,423 - mmdet - INFO - Epoch [12][7300/7330] lr: 1.000e-06, eta: 0:00:16, time: 0.520, data_time: 0.020, memory: 6051, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0318, loss_cls: 0.1447, acc: 94.4709, loss_bbox: 0.2029, loss_mask: 0.2115, loss: 0.6049 2024-05-28 04:11:57,729 - mmdet - INFO - Saving checkpoint at 12 epochs 2024-05-28 04:13:34,548 - mmdet - INFO - Evaluating bbox... 2024-05-28 04:13:55,921 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.436 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.655 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.469 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.238 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.476 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.622 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.546 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.546 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.546 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.324 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.732 2024-05-28 04:13:55,921 - mmdet - INFO - Evaluating segm... 2024-05-28 04:14:24,299 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.387 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.620 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.406 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.168 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.422 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.608 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.487 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.487 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.487 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.259 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.539 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.687 2024-05-28 04:14:24,717 - mmdet - INFO - Exp name: mask_rcnn_deit_tsb_1120_896_448_fpn_1x_coco_bs16.py 2024-05-28 04:14:24,720 - mmdet - INFO - Epoch(val) [12][625] bbox_mAP: 0.4360, bbox_mAP_50: 0.6550, bbox_mAP_75: 0.4690, bbox_mAP_s: 0.2380, bbox_mAP_m: 0.4760, bbox_mAP_l: 0.6220, bbox_mAP_copypaste: 0.436 0.655 0.469 0.238 0.476 0.622, segm_mAP: 0.3870, segm_mAP_50: 0.6200, segm_mAP_75: 0.4060, segm_mAP_s: 0.1680, segm_mAP_m: 0.4220, segm_mAP_l: 0.6080, segm_mAP_copypaste: 0.387 0.620 0.406 0.168 0.422 0.608