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microsoft / human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
MIT License
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FileNotFoundError: [Errno 2] No such file or directory: 'data/mpii/annot/valid.json' #102

Open c1a1o1 opened 5 years ago

c1a1o1 commented 5 years ago

/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 main() File "/home/dell/下载/human-pose-estimation.pytorch-master/pose_estimation/valid.py", line 148, in main normalize, File "/home/dell/下载/human-pose-estimation.pytorch-master/pose_estimation/../lib/dataset/mpii.py", line 33, in init self.db = self._get_db() File "/home/dell/下载/human-pose-estimation.pytorch-master/pose_estimation/../lib/dataset/mpii.py", line 45, in _get_db with open(file_name) as anno_file: FileNotFoundError: [Errno 2] No such file or directory: 'data/mpii/annot/valid.json'

Process finished with exit code 1

738654805 commented 5 years ago

@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)