Comments (4)
It works when setting 'pred_mode' to 'hal', but with some jitters for videos.
from human_dynamics.
It works when setting 'pred_mode' to 'hal', but with some jitters for videos.
could you please tell me where to set the 'pred_mode', thx!
from human_dynamics.
It works when setting 'pred_mode' to 'hal', but with some jitters for videos.
could you please tell me where to set the 'pred_mode', thx!
just add flags in cmd, like "python -m demo_video --pred_mode hal". you might need to change some codes correspondingly.
from human_dynamics.
To be honest, I still don't know how to predict the past and future pose from the single image. I mean, is it possible that given a video of only one frame, can we get the past and future pose just from that frame?
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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