Pose Regression with PoseNet and ml5.neuralNetwork()

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This tutorial builds on the previous video combining PoseNet and ml5.neuralNetwork(). Once again, the output of the pre-trained model (the "pose" itself) is the input to an ml5.js neural network. However, this time the final output is a regression (3 continuous values) instead o ...

  • Editing

    by Mathieu Blanchette

  • Animations

    by Jason Heglund

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