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zhiqiangdon / pose-adv-aug

Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)
Apache License 2.0
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RuntimeError: bool value of non-empty torch.ByteTensor objects is ambiguous #5

Open zouxuelian opened 5 years ago

zouxuelian commented 5 years ago

scale gaussian number is 7 scale means: [ -6.00000000e-01 -4.00000000e-01 -2.00000000e-01 1.11022302e-16 2.00000000e-01 4.00000000e-01 6.00000000e-01] loading json file is done... invalid center: [-26.0, 356.0] image name: images-mpii/097266879.jpg dataset: MPII invalid center: [1718.0, -157.0] image name: images-mpii/012545809.jpg dataset: MPII Traceback (most recent call last): File "/media/z/CC/zxl/2Dhuman pose estimation-CX/pose-adv-aug/collect-scale-ditri.py", line 305, in main() File "/media/z/CC/zxl/2Dhuman pose estimation-CX/pose-adv-aug/collect-scale-ditri.py", line 84, in main train_distri_path_2, hg, opt, is_train=True) File "/media/z/CC/zxl/2Dhuman pose estimation-CX/pose-adv-aug/collect-scale-ditri.py", line 115, in collect_train_valid_data grnd_distri_list = read_grnd_distri_from_txt(save_path) File "/media/z/CC/zxl/2Dhuman pose estimation-CX/pose-adv-aug/collect-scale-ditri.py", line 290, in read_grnd_distri_from_txt if k<0.1: File "/home/z/anaconda2/envs/xlpy030/lib/python2.7/site-packages/torch/tensor.py", line 152, in bool " objects is ambiguous") RuntimeError: bool value of non-empty torch.ByteTensor objects is ambiguous total training images: 25925（错误处）

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