sunwonlikeyou

Thank you :) I just want to compare other datasets.

Thank you for your reply. then as I know, ``` mosh_data = np.load(annots_train_bilinearf.npz)['params'][()] cam = mosh_data[:3] theta = mosh_data[3:75] beta = mosh_data[75:] smpl_mesh, smpl_joint = smpl.layer['female'](smpl_pose_parameter,smpl_shape_parameter) projection_matrix = intrinsic@extrinsic projected_2d_vertices...

well , I should use 'annot.npz' not 'annots_train_bilinearf.npz'. It has global rotation. Thank you

Thank you for your reply. And This is the log file  .

This is the entire log.  )

``` File "/codes/arah-release/im2mesh/data/zju_mocap.py", line 414, in __getitem__ fg_inds = np.random.choice(valid_inds.shape[0], size=self.num_fg_samples, replace=False) File "mtrand.pyx", line 965, in numpy.random.mtrand.RandomState.choice ValueError: Cannot take a larger sample than population when 'replace=False' ```` Thank...

That means SMPL result was wrong. But the SMPL result isn't wrong And below is the that SMPL result.  Does segmentation result related?? and these are **mask** & **mask_erode**...

Can you share your modified files to me so that I can have a look? I back it up with your original code. But there is in line268, data/zju_mocap.py ```...

There was some bugs or mistake on preprocessing code. I made 'annots.npy' using only 4 cameras. But ```preprocess_ZJU-MoCap.py``` assumes there are all cameras. So I changed that part and It...

Dose that means it isn't necessary to use them to render images with my custom trained models?