Comments (5)
I think I've solved the issue.
in nmr_renderer.py line 152:
rend = self.renderer.render(proj_verts, faces, texture)
returns:
return out['rgb'], out['depth'], out['alpha']
(renderer.py from the neural_renderer install)
So you have to do rend = rend[0]
to make it work.
Not sure when this change was made to neural renderer, but it seems pretty recent?
from human_dynamics.
That's strange, have you built neural renderer(run setup.py)?
@maartenjv
from human_dynamics.
yes, I did run the setup. Although it gives some strange warnings and some code had to be adjusted to get it to work, as you know :)
daniilidis-group/neural_renderer#47
But I can run the demos from neural rendering without errors...
from human_dynamics.
from human_dynamics.
Looks like that part of the code is the same. So hopefully package version change will solve the probem.
from human_dynamics.
Related Issues (20)
- Where can I get the same human 3d model, that is used in this work but in fbx format?
- How to extract camera position and rotation relative to model? HOT 2
- Could it run with Camera in realtime?
- Convert predictions to world coordinates HOT 11
- conflicts pytorch version HOT 2
- Slow in rendering
- Thread confusion,leading to bad results in the demo data HOT 1
- Did you test the hmmr model on the val set or the test set of 3DPW? HOT 2
- Is commercial license available for InstaVariety dataset? HOT 2
- Size InstaVariety
- problems with testing videos HOT 2
- about the range of joints [x, y, z] HOT 1
- AttributeError: 'tuple' object has no attribute 'cpu' HOT 2
- about output parameters HOT 2
- about the unit of 2D pose parameters HOT 6
- why use 25 joints instead of 24 joints? HOT 1
- how to use hallucinator
- Project 2d and 3d keypoints on image HOT 2
- Cannot download Instavariety videos, Request for uploading the Instavariety dataset HOT 1
- Could you provide "gt_poses.pkl" file?
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