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Porting this (https://github.com/facebookresearch/VideoPose3D) 3D human pose estimation model into Android for inference in the wild (on live video in real time). My goal is to use TfLite Posenet to get the 2D human keypoints and then feed them into the 3D model. Using PyTorch.
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optimizations: fusing conv,batchnorm layers, using torch optimize_for_mobile, reusing input tensor
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