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Shimingyi / MotioNet

A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]
https://rubbly.cn/publications/motioNet/
BSD 2-Clause "Simplified" License
554 stars 82 forks source link

Get self.poses_2d_mean, self.poses_2d_std with downloading h36m_dataset #34

Closed vishnusanjayrs closed 3 years ago

vishnusanjayrs commented 3 years ago

Can you please provide the normalization values for self.poses_2d_mean, self.poses_2d_std so that i can run the a Test on wild videos .

(motionet) C:\Users\v84153490\PycharmProjects\MotioNet-master>python evaluate.py -r ./checkpoints/wild_gt_tcc.pth -i sample_output Building the network Traceback (most recent call last): File "evaluate.py", line 145, in main(config, args, output_folder) File "evaluate.py", line 73, in main parameters = [torch.from_numpy(np.array(item)).float().to(device) for item in h36m_loader(config, is_training=True).dataset.get_parameters()] File "C:\Users\v84153490\PycharmProjects\MotioNet-master\data\data_loaders.py", line 11, in init self.dataset = h36m_dataset.h36m_dataset(config, is_train=is_training) File "C:\Users\v84153490\PycharmProjects\MotioNet-master\data\h36m_dataset.py", line 22, in init positions_set = np.load('./data/data_h36m.npz', allow_pickle=True)['positions_3d'].item() File "C:\Anaconda\envs\motionet\lib\site-packages\numpy\lib\npyio.py", line 416, in load fid = stack.enter_context(open(os_fspath(file), "rb")) FileNotFoundError: [Errno 2] No such file or directory: './data/data_h36m.npz'

Shimingyi commented 3 years ago

Hi @vishnusanjayrs , you can download it with this link.

vishnusanjayrs commented 3 years ago

Thanks