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In order to better understand the human body for videos and images, pose detection is a critical step. Currently, many of us have tried 2D pose estimation with support from existing models. Tensorflow just launched their first 3D model in TF.js pose-detection API. An increasing interest from the TensorFlow.js community in 3D pose estimation has been seen, which opens up new design opportunities for applications such as fitness, medical and motion capture among many others. A great example of this is using 3D motion to drive a character animation on your browser. The community demo uses multiple models powered by MediaPipe and TensorFlow.js (namely FaceMesh, BlazePose, Hand Pose). It even works without app installation since a webpage is all you need to enjoy the experience. 5 Min Read | Live Demo | TensorFlow Blog submitted by /u/techsucker |
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TensorFlow Introduces A New Model That Enables 3D Pose Detection Live in Your Web Browser with MediaPipe BlazePose GHUM and TensorFlow.js
