In this challenge I generate rainbows using the StyleGAN Machine Learning model available in Runway ML and send the rainbows to the browser with p5.js! This challenge is based on the live coding talk from the 2019 Eyeo Festival.
RunwayML ML Lab page where you can learn more about the models.
Website for RunwayML.
GitHub page for RunwayML.
Repository for the official TensorFlow implementation of Style-Based Generator Architecture for Generative Adversarial Networks.
GitHub page for Anastasis Germanidis
The video covers the basics of downloading and installing Runway, and running your first pre-trained machine learning model.
This video looks at how to run the PoseNet Machine Learning model (for real-time skeletal tracking of one or more people) in Runway and send the results to Processing (Java).
I live code an interactive simulation using a variety of creative coding tools including p5.js, ml5.js, and Runway.
Live Stream with Introduction to RunwayML
- Editing
by Mathieu Blanchette
- Animations
by Jason Heglund