In this video I cover pose estimation: finding the keypoints of person's pose and skeleton using the pre-trained machine learning model PoseNet (in JavaScript with p5.js and ml5.js).
ml github with reference material on PoseNet.
Githup page with reference material on poseNet.
Getting started page for tensorFlow pose estimation.
Webpage where you can explore the COCO dataset.
Article by Dan Oved about the tensorflow.js version of poseNet.
Philipp Schmitt's editorial essay on artificial intelligence and the human effort that went into creating the training dataset.
A one hour activity (intermediate level) to create a sketch with p5.js and ml5.js (using TensorFlow.js PoseNet model).
In this video, I train an image classifier and import the machine learning model into a p5.js sketch with the ml5.js library.
- Editing
by Mathieu Blanchette
- Animations
by Jason Heglund