Comments (3)
Hi @Cavan1Ed1s0n,
We used the PoseNet inference demo code by Google Coral and added AcT in cascade with the pose extraction model. You can adapt to your needs using a CPU. I hope this helps!
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I have read and run your code in this repository. It seems that you only test accuracy from extracted feature, right? Could you please provide complete pipeline from input video -> keypoints detector -> transformer -> action recognition -> result visualization.
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Hi @Cavan1Ed1s0n !
I will try to do it as soon as possible, but I cannot give you an ETA now, sorry!
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Related Issues (14)
- Velocity HOT 3
- KeyError problem HOT 2
- error about running a random search HOT 1
- Tensorflow and keras dependencies not met. HOT 7
- error: Microsoft Visual C++ 14.0 is required HOT 1
- run inference HOT 1
- Trying to train the network on different seq length instead of 30 HOT 1
- Train data augmentation random flip HOT 3
- Requesting for the trained best model HOT 2
- Issue running posenet benchmark HOT 9
- Using videos with different length HOT 1
- About work license HOT 1
- About pretrained weights HOT 9
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