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zjhuang22 / maskscoring_rcnn

Codes for paper "Mask Scoring R-CNN".
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为什么我单GPU训练时，出现到2020-02-14 20:31:30,312 maskrcnn_benchmark.trainer INFO: Start training时挂起，一直不动的现象 #88

Closed Wahaha1314 closed 4 years ago

Wahaha1314 commented 4 years ago

(msrcnn) D:\anaconda_env_workspace\maskscoring_rcnn>python tools/train_net.py --config-file "configs/e2e_ms_rcnn_R_50_FPN_1x.yaml" SOLVER.IMS_PER_BATCH 1 SOLVER.BASE_LR 0.0025 SOLVER.MAX_ITER 720000 SOLVER.STEPS "(480000, 640000)" TEST.IMS_PER_BATCH 1 2020-02-14 20:30:45,144 maskrcnn_benchmark INFO: Using 1 GPUs 2020-02-14 20:30:45,157 maskrcnn_benchmark INFO: Namespace(config_file='configs/e2e_ms_rcnn_R_50_FPN_1x.yaml', distributed=False, local_rank=0, opts=['SOLVER.IMS_PER_BATCH', '1', 'SOLVER.BASE_LR', '0.0025', 'SOLVER.MAX_ITER', '720000', 'SOLVER.STEPS', '(480000, 640000)', 'TEST.IMS_PER_BATCH', '1'], skip_test=False) 2020-02-14 20:30:45,158 maskrcnn_benchmark INFO: Collecting env info (might take some time) 2020-02-14 20:30:54,615 maskrcnn_benchmark INFO: PyTorch version: 1.1.0 Is debug build: No CUDA used to build PyTorch: 9.0

OS: Microsoft Windows 10 家庭中文版 GCC version: Could not collect CMake version: Could not collect

Python version: 3.6 Is CUDA available: Yes CUDA runtime version: 9.0.176 GPU models and configuration: GPU 0: GeForce GTX 1050 Ti Nvidia driver version: 417.22 cuDNN version: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin\cudnn64_7.dll

Versions of relevant libraries: [pip3] numpy==1.16.0 [pip3] numpydoc==0.8.0 [conda] blas 1.0 mkl https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main [conda] mkl 2020.0 166 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main [conda] mkl-service 2.3.0 py36hb782905_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main [conda] mkl_fft 1.0.15 py36h14836fe_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main [conda] mkl_random 1.1.0 py36h675688f_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main [conda] pytorch 1.1.0 py3.6_cuda90_cudnn7_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch [conda] torchvision 0.2.1 py_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch Pillow (5.3.0) 2020-02-14 20:30:54,729 maskrcnn_benchmark INFO: Loaded configuration file configs/e2e_ms_rcnn_R_50_FPN_1x.yaml 2020-02-14 20:30:54,731 maskrcnn_benchmark INFO: MODEL: META_ARCHITECTURE: "GeneralizedRCNN" WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50" PRETRAINED_MODELS: 'pretrained_models' BACKBONE: CONV_BODY: "R-50-FPN" OUT_CHANNELS: 256 RPN: USE_FPN: True ANCHOR_STRIDE: (4, 8, 16, 32, 64) PRE_NMS_TOP_N_TRAIN: 2000 PRE_NMS_TOP_N_TEST: 1000 POST_NMS_TOP_N_TEST: 1000 FPN_POST_NMS_TOP_N_TEST: 1000 ROI_HEADS: USE_FPN: True ROI_BOX_HEAD: POOLER_RESOLUTION: 7 POOLER_SCALES: (0.25, 0.125, 0.0625, 0.03125) POOLER_SAMPLING_RATIO: 2 FEATURE_EXTRACTOR: "FPN2MLPFeatureExtractor" PREDICTOR: "FPNPredictor" ROI_MASK_HEAD: POOLER_SCALES: (0.25, 0.125, 0.0625, 0.03125) FEATURE_EXTRACTOR: "MaskRCNNFPNFeatureExtractor" PREDICTOR: "MaskRCNNC4Predictor" POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 2 RESOLUTION: 28 SHARE_BOX_FEATURE_EXTRACTOR: False MASK_ON: True MASKIOU_ON: True DATASETS: TRAIN: ("coco_2014_train", "coco_2014_valminusminival") TEST: ("coco_2014_minival",) DATALOADER: SIZE_DIVISIBILITY: 32 SOLVER: BASE_LR: 0.02 WEIGHT_DECAY: 0.0001 STEPS: (60000, 80000) MAX_ITER: 90000

2020-02-14 20:30:54,739 maskrcnn_benchmark INFO: Running with config: DATALOADER: ASPECT_RATIO_GROUPING: True NUM_WORKERS: 4 SIZE_DIVISIBILITY: 32 DATASETS: TEST: ('coco_2014_minival',) TRAIN: ('coco_2014_train', 'coco_2014_valminusminival') INPUT: MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 800 MIN_SIZE_TRAIN: 800 PIXEL_MEAN: [102.9801, 115.9465, 122.7717] PIXEL_STD: [1.0, 1.0, 1.0] TO_BGR255: True MODEL: BACKBONE: CONV_BODY: R-50-FPN FREEZE_CONV_BODY_AT: 2 OUT_CHANNELS: 256 DEVICE: cuda MASKIOU_LOSS_WEIGHT: 1.0 MASKIOU_ON: True MASK_ON: True META_ARCHITECTURE: GeneralizedRCNN PRETRAINED_MODELS: pretrained_models RESNETS: NUM_GROUPS: 1 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_FUNC: StemWithFixedBatchNorm STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: True TRANS_FUNC: BottleneckWithFixedBatchNorm WIDTH_PER_GROUP: 64 ROI_BOX_HEAD: FEATURE_EXTRACTOR: FPN2MLPFeatureExtractor MLP_HEAD_DIM: 1024 NUM_CLASSES: 81 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 2 POOLER_SCALES: (0.25, 0.125, 0.0625, 0.03125) PREDICTOR: FPNPredictor ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0) BG_IOU_THRESHOLD: 0.5 DETECTIONS_PER_IMG: 100 FG_IOU_THRESHOLD: 0.5 NMS: 0.5 POSITIVE_FRACTION: 0.25 SCORE_THRESH: 0.05 USE_FPN: True ROI_MASK_HEAD: CONV_LAYERS: (256, 256, 256, 256) FEATURE_EXTRACTOR: MaskRCNNFPNFeatureExtractor MLP_HEAD_DIM: 1024 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 2 POOLER_SCALES: (0.25, 0.125, 0.0625, 0.03125) POSTPROCESS_MASKS: False POSTPROCESS_MASKS_THRESHOLD: 0.5 PREDICTOR: MaskRCNNC4Predictor RESOLUTION: 28 SHARE_BOX_FEATURE_EXTRACTOR: False RPN: ANCHOR_SIZES: (32, 64, 128, 256, 512) ANCHOR_STRIDE: (4, 8, 16, 32, 64) ASPECT_RATIOS: (0.5, 1.0, 2.0) BATCH_SIZE_PER_IMAGE: 256 BG_IOU_THRESHOLD: 0.3 FG_IOU_THRESHOLD: 0.7 FPN_POST_NMS_TOP_N_TEST: 1000 FPN_POST_NMS_TOP_N_TRAIN: 2000 MIN_SIZE: 0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.5 POST_NMS_TOP_N_TEST: 1000 POST_NMS_TOP_N_TRAIN: 2000 PRE_NMS_TOP_N_TEST: 1000 PRE_NMS_TOP_N_TRAIN: 2000 RPN_HEAD: SingleConvRPNHead STRADDLE_THRESH: 0 USE_FPN: True RPN_ONLY: False WEIGHT: catalog://ImageNetPretrained/MSRA/R-50 OUTPUT_DIR: models/ PATHS_CATALOG: d:\anaconda_env_workspace\maskscoring_rcnn\maskrcnn_benchmark\config\paths_catalog.py SOLVER: BASE_LR: 0.0025 BIAS_LR_FACTOR: 2 CHECKPOINT_PERIOD: 1000 GAMMA: 0.1 IMS_PER_BATCH: 1 MAX_ITER: 720000 MOMENTUM: 0.9 STEPS: (480000, 640000) WARMUP_FACTOR: 0.3333333333333333 WARMUP_ITERS: 500 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: 0 TEST: EXPECTED_RESULTS: [] EXPECTED_RESULTS_SIGMA_TOL: 4 IMS_PER_BATCH: 1 2020-02-14 20:31:01,674 maskrcnn_benchmark.utils.checkpoint INFO: Loading checkpoint from catalog://ImageNetPretrained/MSRA/R-50 2020-02-14 20:31:01,676 maskrcnn_benchmark.utils.checkpoint INFO: catalog://ImageNetPretrained/MSRA/R-50 points to https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl 2020-02-14 20:31:01,679 maskrcnn_benchmark.utils.checkpoint INFO: url 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maskrcnn_benchmark.utils.c2_model_loading INFO: C2 name: res_conv1_bn_s mapped name: bn1.weight 2020-02-14 20:31:03,534 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.bn1.bias loaded from layer1.0.bn1.bias of shape (64,) 2020-02-14 20:31:03,535 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.bn1.weight loaded from layer1.0.bn1.weight of shape (64,) 2020-02-14 20:31:03,540 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.bn2.bias loaded from layer1.0.bn2.bias of shape (64,) 2020-02-14 20:31:03,542 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.bn2.weight loaded from layer1.0.bn2.weight of shape (64,) 2020-02-14 20:31:03,543 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.bn3.bias loaded from layer1.0.bn3.bias of shape (256,) 2020-02-14 20:31:03,545 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.bn3.weight loaded from layer1.0.bn3.weight of shape (256,) 2020-02-14 20:31:03,550 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.conv1.weight loaded from layer1.0.conv1.weight of shape (64, 64, 1, 1) 2020-02-14 20:31:03,551 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.conv2.weight loaded from layer1.0.conv2.weight of shape (64, 64, 3, 3) 2020-02-14 20:31:03,553 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.conv3.weight loaded from layer1.0.conv3.weight of shape (256, 64, 1, 1) 2020-02-14 20:31:03,555 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.downsample.0.weight loaded from layer1.0.downsample.0.weight of shape (256, 64, 1, 1) 2020-02-14 20:31:03,557 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.downsample.1.bias loaded from layer1.0.downsample.1.bias of shape (256,) 2020-02-14 20:31:03,558 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.downsample.1.weight loaded from layer1.0.downsample.1.weight of shape (256,) 2020-02-14 20:31:03,563 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.1.bn1.bias loaded from layer1.1.bn1.bias of shape (64,) 2020-02-14 20:31:03,565 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.1.bn1.weight loaded from layer1.1.bn1.weight of shape (64,) 2020-02-14 20:31:03,566 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.1.bn2.bias loaded from layer1.1.bn2.bias of shape (64,) 2020-02-14 20:31:03,568 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.1.bn2.weight loaded from layer1.1.bn2.weight of shape (64,) 2020-02-14 20:31:03,569 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.1.bn3.bias loaded from layer1.1.bn3.bias of shape (256,) 2020-02-14 20:31:03,570 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.1.bn3.weight loaded from layer1.1.bn3.weight of shape (256,) 2020-02-14 20:31:03,571 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.1.conv1.weight loaded from layer1.1.conv1.weight of shape (64, 256, 1, 1) 2020-02-14 20:31:03,575 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.1.conv2.weight loaded from layer1.1.conv2.weight of shape (64, 64, 3, 3) 2020-02-14 20:31:03,577 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.1.conv3.weight loaded from layer1.1.conv3.weight of shape (256, 64, 1, 1) 2020-02-14 20:31:03,578 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.2.bn1.bias loaded from layer1.2.bn1.bias of shape (64,) 2020-02-14 20:31:03,579 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.2.bn1.weight loaded from layer1.2.bn1.weight of shape (64,) 2020-02-14 20:31:03,581 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.2.bn2.bias loaded from layer1.2.bn2.bias of shape (64,) 2020-02-14 20:31:03,582 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.2.bn2.weight loaded from layer1.2.bn2.weight of shape (64,) 2020-02-14 20:31:03,583 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.2.bn3.bias loaded from layer1.2.bn3.bias of shape (256,) 2020-02-14 20:31:03,587 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.2.bn3.weight loaded from layer1.2.bn3.weight of shape (256,) 2020-02-14 20:31:03,590 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.2.conv1.weight loaded from layer1.2.conv1.weight of shape (64, 256, 1, 1) 2020-02-14 20:31:03,591 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.2.conv2.weight loaded from layer1.2.conv2.weight of shape (64, 64, 3, 3) 2020-02-14 20:31:03,592 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.2.conv3.weight loaded from layer1.2.conv3.weight of shape (256, 64, 1, 1) 2020-02-14 20:31:03,593 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.0.bn1.bias loaded from layer2.0.bn1.bias of shape (128,) 2020-02-14 20:31:03,593 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.0.bn1.weight loaded from layer2.0.bn1.weight of shape (128,) 2020-02-14 20:31:03,594 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.0.bn2.bias loaded from layer2.0.bn2.bias of shape (128,) 2020-02-14 20:31:03,594 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.0.bn2.weight loaded from layer2.0.bn2.weight of shape (128,) 2020-02-14 20:31:03,595 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.0.bn3.bias loaded from layer2.0.bn3.bias of shape (512,) 2020-02-14 20:31:03,596 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.0.bn3.weight loaded from layer2.0.bn3.weight of shape (512,) 2020-02-14 20:31:03,599 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.0.conv1.weight loaded from layer2.0.conv1.weight of shape (128, 256, 1, 1) 2020-02-14 20:31:03,600 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.0.conv2.weight loaded from layer2.0.conv2.weight of shape (128, 128, 3, 3) 2020-02-14 20:31:03,600 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.0.conv3.weight loaded from layer2.0.conv3.weight of shape (512, 128, 1, 1) 2020-02-14 20:31:03,601 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.0.downsample.0.weight loaded from layer2.0.downsample.0.weight of shape (512, 256, 1, 1) 2020-02-14 20:31:03,602 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.0.downsample.1.bias loaded from layer2.0.downsample.1.bias of shape (512,) 2020-02-14 20:31:03,602 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.0.downsample.1.weight loaded from layer2.0.downsample.1.weight of shape (512,) 2020-02-14 20:31:03,603 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.1.bn1.bias loaded from layer2.1.bn1.bias of shape (128,) 2020-02-14 20:31:03,604 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.1.bn1.weight loaded from layer2.1.bn1.weight of shape (128,) 2020-02-14 20:31:03,605 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.1.bn2.bias loaded from layer2.1.bn2.bias of shape (128,) 2020-02-14 20:31:03,605 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.1.bn2.weight loaded from layer2.1.bn2.weight of shape (128,) 2020-02-14 20:31:03,606 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.1.bn3.bias loaded from layer2.1.bn3.bias of shape (512,) 2020-02-14 20:31:03,607 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.1.bn3.weight loaded from layer2.1.bn3.weight of shape (512,) 2020-02-14 20:31:03,610 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.1.conv1.weight loaded from layer2.1.conv1.weight of shape (128, 512, 1, 1) 2020-02-14 20:31:03,611 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.1.conv2.weight loaded from layer2.1.conv2.weight of shape (128, 128, 3, 3) 2020-02-14 20:31:03,612 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.1.conv3.weight loaded from layer2.1.conv3.weight of shape (512, 128, 1, 1) 2020-02-14 20:31:03,612 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.2.bn1.bias loaded from layer2.2.bn1.bias of shape (128,) 2020-02-14 20:31:03,613 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.2.bn1.weight loaded from layer2.2.bn1.weight of shape (128,) 2020-02-14 20:31:03,614 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.2.bn2.bias loaded from layer2.2.bn2.bias of shape (128,) 2020-02-14 20:31:03,614 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.2.bn2.weight loaded from layer2.2.bn2.weight of shape (128,) 2020-02-14 20:31:03,615 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.2.bn3.bias loaded from layer2.2.bn3.bias of shape (512,) 2020-02-14 20:31:03,616 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.2.bn3.weight loaded from layer2.2.bn3.weight of shape (512,) 2020-02-14 20:31:03,616 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.2.conv1.weight loaded from layer2.2.conv1.weight of shape (128, 512, 1, 1) 2020-02-14 20:31:03,617 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.2.conv2.weight loaded from layer2.2.conv2.weight of shape (128, 128, 3, 3) 2020-02-14 20:31:03,617 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.2.conv3.weight loaded from layer2.2.conv3.weight of shape (512, 128, 1, 1) 2020-02-14 20:31:03,622 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.3.bn1.bias loaded from layer2.3.bn1.bias of shape (128,) 2020-02-14 20:31:03,622 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.3.bn1.weight loaded from layer2.3.bn1.weight of shape (128,) 2020-02-14 20:31:03,623 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.3.bn2.bias loaded from layer2.3.bn2.bias of shape (128,) 2020-02-14 20:31:03,624 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.3.bn2.weight loaded from layer2.3.bn2.weight of shape (128,) 2020-02-14 20:31:03,624 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.3.bn3.bias loaded from layer2.3.bn3.bias of shape (512,) 2020-02-14 20:31:03,625 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.3.bn3.weight loaded from layer2.3.bn3.weight of shape (512,) 2020-02-14 20:31:03,626 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.3.conv1.weight loaded from layer2.3.conv1.weight of shape (128, 512, 1, 1) 2020-02-14 20:31:03,627 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.3.conv2.weight loaded from layer2.3.conv2.weight of shape (128, 128, 3, 3) 2020-02-14 20:31:03,627 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer2.3.conv3.weight loaded from layer2.3.conv3.weight of shape (512, 128, 1, 1) 2020-02-14 20:31:03,628 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.0.bn1.bias loaded from layer3.0.bn1.bias of shape (256,) 2020-02-14 20:31:03,629 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.0.bn1.weight loaded from layer3.0.bn1.weight of shape (256,) 2020-02-14 20:31:03,630 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.0.bn2.bias loaded from layer3.0.bn2.bias of shape (256,) 2020-02-14 20:31:03,635 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.0.bn2.weight loaded from layer3.0.bn2.weight of shape (256,) 2020-02-14 20:31:03,636 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.0.bn3.bias loaded from layer3.0.bn3.bias of shape (1024,) 2020-02-14 20:31:03,637 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.0.bn3.weight loaded from layer3.0.bn3.weight of shape (1024,) 2020-02-14 20:31:03,638 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.0.conv1.weight loaded from layer3.0.conv1.weight of shape (256, 512, 1, 1) 2020-02-14 20:31:03,638 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.0.conv2.weight loaded from layer3.0.conv2.weight of shape (256, 256, 3, 3) 2020-02-14 20:31:03,639 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.0.conv3.weight loaded from layer3.0.conv3.weight of shape (1024, 256, 1, 1) 2020-02-14 20:31:03,640 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.0.downsample.0.weight loaded from layer3.0.downsample.0.weight of shape (1024, 512, 1, 1) 2020-02-14 20:31:03,640 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.0.downsample.1.bias loaded from layer3.0.downsample.1.bias of shape (1024,) 2020-02-14 20:31:03,641 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.0.downsample.1.weight loaded from layer3.0.downsample.1.weight of shape (1024,) 2020-02-14 20:31:03,642 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.1.bn1.bias loaded from layer3.1.bn1.bias of shape (256,) 2020-02-14 20:31:03,642 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.1.bn1.weight loaded from layer3.1.bn1.weight of shape (256,) 2020-02-14 20:31:03,643 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.1.bn2.bias loaded from layer3.1.bn2.bias of shape (256,) 2020-02-14 20:31:03,644 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.1.bn2.weight loaded from layer3.1.bn2.weight of shape (256,) 2020-02-14 20:31:03,647 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.1.bn3.bias loaded from layer3.1.bn3.bias of shape (1024,) 2020-02-14 20:31:03,648 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.1.bn3.weight loaded from layer3.1.bn3.weight of shape (1024,) 2020-02-14 20:31:03,649 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.1.conv1.weight loaded from layer3.1.conv1.weight of shape (256, 1024, 1, 1) 2020-02-14 20:31:03,650 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.1.conv2.weight loaded from layer3.1.conv2.weight of shape (256, 256, 3, 3) 2020-02-14 20:31:03,650 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.1.conv3.weight loaded from layer3.1.conv3.weight of shape (1024, 256, 1, 1) 2020-02-14 20:31:03,651 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.2.bn1.bias loaded from layer3.2.bn1.bias of shape (256,) 2020-02-14 20:31:03,652 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.2.bn1.weight loaded from layer3.2.bn1.weight of shape (256,) 2020-02-14 20:31:03,652 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.2.bn2.bias loaded from layer3.2.bn2.bias of shape (256,) 2020-02-14 20:31:03,653 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.2.bn2.weight loaded from layer3.2.bn2.weight of shape (256,) 2020-02-14 20:31:03,654 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.2.bn3.bias loaded from layer3.2.bn3.bias of shape (1024,) 2020-02-14 20:31:03,655 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.2.bn3.weight loaded from layer3.2.bn3.weight of shape (1024,) 2020-02-14 20:31:03,659 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.2.conv1.weight loaded from layer3.2.conv1.weight of shape (256, 1024, 1, 1) 2020-02-14 20:31:03,660 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.2.conv2.weight loaded from layer3.2.conv2.weight of shape (256, 256, 3, 3) 2020-02-14 20:31:03,661 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.2.conv3.weight loaded from layer3.2.conv3.weight of shape (1024, 256, 1, 1) 2020-02-14 20:31:03,661 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.3.bn1.bias loaded from layer3.3.bn1.bias of shape (256,) 2020-02-14 20:31:03,662 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.3.bn1.weight loaded from layer3.3.bn1.weight of shape (256,) 2020-02-14 20:31:03,663 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.3.bn2.bias loaded from layer3.3.bn2.bias of shape (256,) 2020-02-14 20:31:03,663 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.3.bn2.weight loaded from layer3.3.bn2.weight of shape (256,) 2020-02-14 20:31:03,664 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.3.bn3.bias loaded from layer3.3.bn3.bias of shape (1024,) 2020-02-14 20:31:03,664 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.3.bn3.weight loaded from layer3.3.bn3.weight of shape (1024,) 2020-02-14 20:31:03,665 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.3.conv1.weight loaded from layer3.3.conv1.weight of shape (256, 1024, 1, 1) 2020-02-14 20:31:03,666 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.3.conv2.weight loaded from layer3.3.conv2.weight of shape (256, 256, 3, 3) 2020-02-14 20:31:03,666 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.3.conv3.weight loaded from layer3.3.conv3.weight of shape (1024, 256, 1, 1) 2020-02-14 20:31:03,667 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.4.bn1.bias loaded from layer3.4.bn1.bias of shape (256,) 2020-02-14 20:31:03,672 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.4.bn1.weight loaded from layer3.4.bn1.weight of shape (256,) 2020-02-14 20:31:03,672 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.4.bn2.bias loaded from layer3.4.bn2.bias of shape (256,) 2020-02-14 20:31:03,673 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.4.bn2.weight loaded from layer3.4.bn2.weight of shape (256,) 2020-02-14 20:31:03,673 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.4.bn3.bias loaded from layer3.4.bn3.bias of shape (1024,) 2020-02-14 20:31:03,674 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.4.bn3.weight loaded from layer3.4.bn3.weight of shape (1024,) 2020-02-14 20:31:03,674 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.4.conv1.weight loaded from layer3.4.conv1.weight of shape (256, 1024, 1, 1) 2020-02-14 20:31:03,675 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.4.conv2.weight loaded from layer3.4.conv2.weight of shape (256, 256, 3, 3) 2020-02-14 20:31:03,676 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.4.conv3.weight loaded from layer3.4.conv3.weight of shape (1024, 256, 1, 1) 2020-02-14 20:31:03,676 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.5.bn1.bias loaded from layer3.5.bn1.bias of shape (256,) 2020-02-14 20:31:03,677 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.5.bn1.weight loaded from layer3.5.bn1.weight of shape (256,) 2020-02-14 20:31:03,678 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.5.bn2.bias loaded from layer3.5.bn2.bias of shape (256,) 2020-02-14 20:31:03,678 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.5.bn2.weight loaded from layer3.5.bn2.weight of shape (256,) 2020-02-14 20:31:03,682 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.5.bn3.bias loaded from layer3.5.bn3.bias of shape (1024,) 2020-02-14 20:31:03,684 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.5.bn3.weight loaded from layer3.5.bn3.weight of shape (1024,) 2020-02-14 20:31:03,684 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.5.conv1.weight loaded from layer3.5.conv1.weight of shape (256, 1024, 1, 1) 2020-02-14 20:31:03,685 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.5.conv2.weight loaded from layer3.5.conv2.weight of shape (256, 256, 3, 3) 2020-02-14 20:31:03,686 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer3.5.conv3.weight loaded from layer3.5.conv3.weight of shape (1024, 256, 1, 1) 2020-02-14 20:31:03,686 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.0.bn1.bias loaded from layer4.0.bn1.bias of shape (512,) 2020-02-14 20:31:03,687 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.0.bn1.weight loaded from layer4.0.bn1.weight of shape (512,) 2020-02-14 20:31:03,688 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.0.bn2.bias loaded from layer4.0.bn2.bias of shape (512,) 2020-02-14 20:31:03,689 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.0.bn2.weight loaded from layer4.0.bn2.weight of shape (512,) 2020-02-14 20:31:03,689 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.0.bn3.bias loaded from layer4.0.bn3.bias of shape (2048,) 2020-02-14 20:31:03,690 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.0.bn3.weight loaded from layer4.0.bn3.weight of shape (2048,) 2020-02-14 20:31:03,694 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.0.conv1.weight loaded from layer4.0.conv1.weight of shape (512, 1024, 1, 1) 2020-02-14 20:31:03,694 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.0.conv2.weight loaded from layer4.0.conv2.weight of shape (512, 512, 3, 3) 2020-02-14 20:31:03,695 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.0.conv3.weight loaded from layer4.0.conv3.weight of shape (2048, 512, 1, 1) 2020-02-14 20:31:03,696 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.0.downsample.0.weight loaded from layer4.0.downsample.0.weight of shape (2048, 1024, 1, 1) 2020-02-14 20:31:03,696 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.0.downsample.1.bias loaded from layer4.0.downsample.1.bias of shape (2048,) 2020-02-14 20:31:03,697 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.0.downsample.1.weight loaded from layer4.0.downsample.1.weight of shape (2048,) 2020-02-14 20:31:03,698 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.1.bn1.bias loaded from layer4.1.bn1.bias of shape (512,) 2020-02-14 20:31:03,698 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.1.bn1.weight loaded from layer4.1.bn1.weight of shape (512,) 2020-02-14 20:31:03,699 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.1.bn2.bias loaded from layer4.1.bn2.bias of shape (512,) 2020-02-14 20:31:03,700 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.1.bn2.weight loaded from layer4.1.bn2.weight of shape (512,) 2020-02-14 20:31:03,700 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.1.bn3.bias loaded from layer4.1.bn3.bias of shape (2048,) 2020-02-14 20:31:03,701 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.1.bn3.weight loaded from layer4.1.bn3.weight of shape (2048,) 2020-02-14 20:31:03,701 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.1.conv1.weight loaded from layer4.1.conv1.weight of shape (512, 2048, 1, 1) 2020-02-14 20:31:03,706 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.1.conv2.weight loaded from layer4.1.conv2.weight of shape (512, 512, 3, 3) 2020-02-14 20:31:03,707 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.1.conv3.weight loaded from layer4.1.conv3.weight of shape (2048, 512, 1, 1) 2020-02-14 20:31:03,708 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.2.bn1.bias loaded from layer4.2.bn1.bias of shape (512,) 2020-02-14 20:31:03,709 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.2.bn1.weight loaded from layer4.2.bn1.weight of shape (512,) 2020-02-14 20:31:03,709 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.2.bn2.bias loaded from layer4.2.bn2.bias of shape (512,) 2020-02-14 20:31:03,710 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.2.bn2.weight loaded from layer4.2.bn2.weight of shape (512,) 2020-02-14 20:31:03,711 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.2.bn3.bias loaded from layer4.2.bn3.bias of shape (2048,) 2020-02-14 20:31:03,711 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.2.bn3.weight loaded from layer4.2.bn3.weight of shape (2048,) 2020-02-14 20:31:03,712 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.2.conv1.weight loaded from layer4.2.conv1.weight of shape (512, 2048, 1, 1) 2020-02-14 20:31:03,713 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.2.conv2.weight loaded from layer4.2.conv2.weight of shape (512, 512, 3, 3) 2020-02-14 20:31:03,713 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer4.2.conv3.weight loaded from layer4.2.conv3.weight of shape (2048, 512, 1, 1) 2020-02-14 20:31:03,714 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.stem.bn1.bias loaded from bn1.bias of shape (64,) 2020-02-14 20:31:03,715 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.stem.bn1.weight loaded from bn1.weight of shape (64,) 2020-02-14 20:31:03,719 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.stem.conv1.weight loaded from conv1.weight of shape (64, 3, 7, 7) loading annotations into memory... Done (t=16.29s) creating index... index created! loading annotations into memory... Done (t=6.77s) creating index... index created! 2020-02-14 20:31:30,312 maskrcnn_benchmark.trainer INFO: Start training

到这一步后就一直不动了，不知道是什么原因，还望各位大佬帮忙看看。