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 ...
In this video I cover pose estimation: finding the keypoints of person's pose and skeleton using BodyPose (in JavaScript with p5.js and ml5.js).
In this video I cover how to train a neural network to perform a "regression" task (rather than classification).
This video covers how to train a neural network machine learning model with real-time interactive data in ml5.js
This video covers the new ES8 "async" and "await" keywords for writing asynchronous functions in JavaScript.
- Editing
by Mathieu Blanchette
- Animations
by Jason Heglund