Comments (6)
Can you provide more details?
from 3d_pose_baseline_pytorch.
For example, when I visualize one of the 3d results in "sitting down" dataset, it looks like the following picture. I don't think it is "sitting down" action. Besides, 3d result in different datasets looks like the following picture all the same.
from 3d_pose_baseline_pytorch.
You used the H36m dataset or other dataset to visualize?
from 3d_pose_baseline_pytorch.
You used the H36m dataset or other dataset to visualize?
I use H36M
from 3d_pose_baseline_pytorch.
I am not sure which samples you used. Let me guess if you only use the first several frames in each video (like, you only use the first frame of each action)? In h36m, the poses in the first several frames are every similar, where the actor is standing like you ploted.
from 3d_pose_baseline_pytorch.
I am not sure which samples you used. Let me guess if you only use the first several frames in each video (like, you only use the first frame of each action)? In h36m, the poses in the first several frames are every similar, where the actor is standing like you ploted.
You are right ! Thanks a lot !
from 3d_pose_baseline_pytorch.
Related Issues (20)
- ModuleNotFoundError: No module named 'progress'
- Why is 16 joints? HOT 1
- pretrained model is missing HOT 4
- Questions on visualizing and data pre-processing. HOT 1
- The dataset h36m.zip is missing
- Implemenation different for original paper?
- Problem on Visualizing HOT 9
- Human36m link is not available HOT 4
- Unnormalize and Normalize 2D Skeleton HOT 6
- Hourglass detection files HOT 5
- Joints Order HOT 1
- Update google drive links HOT 8
- l can not find Bar in src,from src import Bar.anyone knows???? HOT 1
- where is cameras.h5?
- can you provide the pretrained model?
- Training error
- can you provide the pretrained model?
- EOFError: Ran out of input
- Hip Centering in data preprocessing
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