Classifying Poses with ML5.js

Explore PoseNet in ml5.js and learn to train a pose classifier in this comprehensive live stream. Begin by setting up a development environment on a new laptop, covering essential tools like oh-my-zsh, Node.js, Git, and Visual Studio Code. Dive into the world of machine learning with an introduction to PoseNet, followed by a detailed tutorial on implementing pose classification. Along the way, discover community contributions, discuss potential future video topics, and gain insights into various coding challenges such as Reversi MiniMax, Chess AI, Tic Tac Toe, and Connect 4. Perfect for those interested in machine learning, computer vision, and creative coding using p5.js and Processing.

Syllabus

Start!.
Introduction.
Dashlane (*sponsor).
Processing Foundation.
Thoughts For Future Videos.
Community Contributions.
Reversi MiniMax.
Chess AI.
Tic Tac Toe.
Connect 4.
Frequency and Color Prediction.
Setting Up a Dev Environment.
oh-my-zsh: https://ohmyz.sh/.
Node.js.
Git.
ml-5.
Visual Code.
Dashlane (*sponsor).
Break.
Introduction to Posenet.
Posenet Tutorial.
Conclusions and Goodbyes.