Strike a pose! In this video, I explore the BodyPose model in ml5.js with MoveNet and BlazePose, showing how to track body keypoints and visualize 'skeleton' connections using live video. Code: 🚀 Watch this video ad-free on Nebula p5.js Web Editor Sketches: 🕹️ BodyPose - single image: 🕹️ BodyPose - Nose: 🕹️ BodyPose - Nose with Lerp: 🕹️ BodyPose - More Parts: 🕹️ BodyPose - Hat: 🕹️ BodyPose - 3D BlazePose: 🎥 Previous: 🎥 Next: 🎥 All: References: 💻 ml5.js: 🏫 Introduction to ML for the Arts: 💻 Common objects in Context Dataset: 🏫 Humans of AI: 💻 Next-Generation Pose Detection: 📄 BlazePose Paper: 💃 PoseNet Sketchbook: 🏅 Olympic Form: Videos: 🎥 Timestamps: 0:00 Introduction 0:45 What is the BodyPose model? 3:28 Coco Dataset 4:04 Creative Inspiration 5:49 Start coding 8:58 Working with specific keypoints 15:39 Skeleton connections between the keypoints 17:57 Using dist() function 19:39 BlazePose 20:56 Outro Editing by Mathieu Blanchette Animations by Jason Heglund Music from Epidemic Sound 🚂 Website: 👾 Share Your Creation! 🚩 Suggest Topics: 💡 GitHub: 💬 Discord: 💖 Membership: 🛒 Store: 🖋️ Twitter: 📸 Instagram: 🎥 🎥 🔗 p5.js: 🔗 p5.js Web Editor: 🔗 Processing: 📄 Code of Conduct: This description was auto-generated. If you see a problem, please open an issue: #machinelearningml #webcam #posedetection #ml5js #movenet #blazepose #ml5js #javascript |
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