Comments (1)
Hi @gaoyh18
Firstly, the data from all the files have been previously normalized by subtracting the mean and dividing by the standard deviation. If you want to visualize the skeleton first, you have to unnormalize the data you can do it with
Secondly, I did not understand the process of adding 0,0
at the front of the pose. As you reference, the data has 32 joints, but only 17 that move; so you only need to focus on those to create your skeleton. For example x0,y0
corresponds to the hip and x15,y15
corresponds to the head...
Finally, you can plot the joints in 2D. In case that you want to visualize with lines you need to create a "list of bones", a list which contains all the pairs of joints which build a line of the skeleton. You can use the original code to understand how it works:
https://github.com/una-dinosauria/3d-pose-baseline/blob/666080d86a96666d499300719053cc8af7ef51c8/src/viz.py#L68
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
- 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
- why 3d pose is similar HOT 6
- 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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from 3d_pose_baseline_pytorch.