human-pose-estimation.pytorch
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FileNotFoundError: [Errno 2] No such file or directory: 'data/mpii/annot/valid.json'
/root/anaconda3/bin/python /home/dell/下载/human-pose-estimation.pytorch-master/pose_estimation/valid.py --cfg ../experiments/mpii/resnet152/256x256_d256x3_adam_lr1e-3.yaml --flip-test --model-file ../models/pytorch/pose_mpii/pose_resnet_152_256x256.pth.tar
=> creating output/mpii/pose_resnet_152/256x256_d256x3_adam_lr1e-3
=> creating log/mpii/pose_resnet_152/256x256_d256x3_adam_lr1e-3_2019-03-20-21-12
Namespace(cfg='../experiments/mpii/resnet152/256x256_d256x3_adam_lr1e-3.yaml', coco_bbox_file=None, flip_test=True, frequent=100, gpus=None, model_file='../models/pytorch/pose_mpii/pose_resnet_152_256x256.pth.tar', post_process=False, shift_heatmap=False, use_detect_bbox=False, workers=None)
{'CUDNN': {'BENCHMARK': True, 'DETERMINISTIC': False, 'ENABLED': True},
'DATASET': {'DATASET': 'mpii',
'DATA_FORMAT': 'jpg',
'FLIP': True,
'HYBRID_JOINTS_TYPE': '',
'ROOT': 'data/mpii/',
'ROT_FACTOR': 30,
'SCALE_FACTOR': 0.25,
'SELECT_DATA': False,
'TEST_SET': 'valid',
'TRAIN_SET': 'train'},
'DATA_DIR': '',
'DEBUG': {'DEBUG': False,
'SAVE_BATCH_IMAGES_GT': True,
'SAVE_BATCH_IMAGES_PRED': True,
'SAVE_HEATMAPS_GT': True,
'SAVE_HEATMAPS_PRED': True},
'GPUS': '0',
'LOG_DIR': 'log',
'LOSS': {'USE_TARGET_WEIGHT': True},
'MODEL': {'EXTRA': {'DECONV_WITH_BIAS': False,
'FINAL_CONV_KERNEL': 1,
'HEATMAP_SIZE': array([64, 64]),
'NUM_DECONV_FILTERS': [256, 256, 256],
'NUM_DECONV_KERNELS': [4, 4, 4],
'NUM_DECONV_LAYERS': 3,
'NUM_LAYERS': 152,
'SIGMA': 2,
'TARGET_TYPE': 'gaussian'},
'IMAGE_SIZE': array([256, 256]),
'INIT_WEIGHTS': True,
'NAME': 'pose_resnet',
'NUM_JOINTS': 16,
'PRETRAINED': 'models/pytorch/imagenet/resnet152-b121ed2d.pth',
'STYLE': 'pytorch'},
'OUTPUT_DIR': 'output',
'PRINT_FREQ': 100,
'TEST': {'BATCH_SIZE': 32,
'BBOX_THRE': 1.0,
'COCO_BBOX_FILE': '',
'FLIP_TEST': True,
'IMAGE_THRE': 0.0,
'IN_VIS_THRE': 0.0,
'MODEL_FILE': '../models/pytorch/pose_mpii/pose_resnet_152_256x256.pth.tar',
'NMS_THRE': 1.0,
'OKS_THRE': 0.5,
'POST_PROCESS': True,
'SHIFT_HEATMAP': True,
'USE_GT_BBOX': False},
'TRAIN': {'BATCH_SIZE': 32,
'BEGIN_EPOCH': 0,
'CHECKPOINT': '',
'END_EPOCH': 140,
'GAMMA1': 0.99,
'GAMMA2': 0.0,
'LR': 0.001,
'LR_FACTOR': 0.1,
'LR_STEP': [90, 120],
'MOMENTUM': 0.9,
'NESTEROV': False,
'OPTIMIZER': 'adam',
'RESUME': False,
'SHUFFLE': True,
'WD': 0.0001},
'WORKERS': 4}
=> loading model from ../models/pytorch/pose_mpii/pose_resnet_152_256x256.pth.tar
/root/anaconda3/lib/python3.6/site-packages/torch/nn/functional.py:52: UserWarning: size_average and reduce args will be deprecated, please use reduction='elementwise_mean' instead.
warnings.warn(warning.format(ret))
Traceback (most recent call last):
File "/home/dell/下载/human-pose-estimation.pytorch-master/pose_estimation/valid.py", line 165, in
Process finished with exit code 1
@c1a1o1 You should download the valid.json file from the googledrive. just follow the instructions in readme. (需要下载,科学上网)