Comments (1)
We released the code and datasets only for research use. Our released code and datasets cannot be used for any commercial purpose.
Since the pose and mesh are totally wrong on your testing data, we suggest you carefully check the code and the input data you used. Some possible reasons are image format, image resolution, hand detection, etc.
from hand-graph-cnn.
Related Issues (20)
- Could you provide the code about PCK? HOT 1
- About dataset HOT 1
- Windows 10 , Opendr HOT 5
- Training code ?? HOT 1
- pose_root HOT 1
- Pytorch autograd function error HOT 1
- How did you get pseudo ground truth mesh for real-world dataset? HOT 1
- How to create synthetic dataset?
- Lack of l19 tar files HOT 1
- How can I test it on the new images, if I have camera intrinsic parameters? Do I need other parameters in the test time?
- Is the unit of measurement correct ? HOT 1
- ValueError: unsupported pickle protocol: 3
- Error : "TypeError: forward() missing 1 required positional argument: 'x'" HOT 1
- How can I predict my RGB images HOT 1
- How can I predict my RGB images without camera parameters or 3D mesh data
- License for dataset
- Could you update the training code?please help me! HOT 2
- Could not convert dict_keys( (type <class 'dict_keys'>) to array HOT 1
- Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time.
- About the dataset
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from hand-graph-cnn.