-
Notifications
You must be signed in to change notification settings - Fork 137
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
vp.decode ouputs NAN values... any help? #43
Comments
I'm having the same problem, any solution? |
I updated the vposer with recent version at it worked and you should change some code like From body_pose = vposer.decode( To
|
What do you mean by undating to recent version? Do you mean I re-clone the git repository? and by the way, in the torchgeometry/core/conversions.py file, if i change the line 272, "mask_d2 = rmat_t[:, 2, 2] < eps" to "mask_d2 = rmat_t[:, 2, 2] > eps", it works for the vposer example, but when I try it in smplify-x, all the pictures get nan value from fitting stage 2. Have you tried it? |
I'm not sure about what I've done to solve this problem. I was so stressed solving this problem so I forgot most of the process If this doesn't works for you I can send you my files |
It'd be helpful if I check your code as well. |
메일답변드렸습니다
|
I am using cvpr19 branch, cuda10.0, pytorch 1.1.0, and windows11
I downloaded trained model and smplx model from smplify-x repo
For my case I cannot run any of given jupyter tutorial
from below code
i got some nan values for pose_body as below
what is wrong with this?
The text was updated successfully, but these errors were encountered: