Comments (1)
Hi, the current demo run at batch and does not support live mode. To enable this, you may need to modify the demo code to run detection and model inference frame-by-frame. Meanwhile, as the PyMAF-X in the Python version can not run in real-time, it is hard to achieve the live mode as expected. So, you need the acceleration tools such as TensorRT to enable real-time PyMAF-X.
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Related Issues (20)
- ValueError: could not broadcast input array HOT 3
- Can't find the Adaptive Integration module.
- questions about animation HOT 1
- About the training stage to reimplement the reported results on 3dpw dataset HOT 7
- How to load the hand poses into the blender SMPLX add-on correctly? HOT 3
- Training process (and congrats TPAMI accepting) HOT 3
- Flame downsampling HOT 6
- How to save mesh without background?
- I ran into this problem when running a demo with my own video HOT 3
- bug when saveobj
- Training details
- How to read smplx_params output by smplx.SMPLX? HOT 3
- RuntimeError: CUDA out of memory when dealing folder with large amount of pics
- How to use the output pkl for animation? HOT 1
- Evaluation for provided pretrained model HOT 2
- Why is pkl pose output of shape (1, 72) when normally shape of pose is (1,63) what is the difference? HOT 2
- xyz offsets? HOT 1
- Regressing Hand Parameters only HOT 2
- Can PyMAFX real time running HOT 2
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