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Building on BodyPose in ml5.js, this video explores the 3D capabilities of the BlazePose model, visualizing poses in a 3D space using WEBGL in p5.js. Code: https://thecodingtrain.com/tracks/ml5js-beginners-guide/ml5/7-bodypose/blazePose 🚀 Watch this video ad-free on Nebula https://nebula.tv/videos/codingtrain-3d-pose-estimation-with-ml5js p5.js Web Editor Sketches: 🕹️ BlazePose 3D: https://editor.p5js.org/codingtrain/sketches/ftALPDieT 🕹️ BlazePose Lerp: https://editor.p5js.org/codingtrain/sketches/JMhDRpcxi_ 🎥 Previous: https://youtu.be/T99fNXTUUaQ?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y 🎥 Next: https://youtu.be/vfNHdVbE-l4?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y 🎥 All: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y References: 💻 ml5.js: BodyPose: https://docs.ml5js.org/#/reference/bodypose 📄 On-device, Real-time Body Pose Tracking with MediaPipe BlazePose: https://research.google/blog/on-device-real-time-body-pose-tracking-with-mediapipe-blazepose/ 📄 3D Pose Detection with MediaPipe BlazePose GHUM and TensorFlow.js: https://blog.tensorflow.org/2021/08/3d-pose-detection-with-mediapipe-blazepose-ghum-tfjs.html 📄 BlazePose GHUM Holistic:: https://arxiv.org/pdf/2206.11678 Videos: 🚂 https://youtu.be/T99fNXTUUaQ 🚂 https://youtu.be/76fiD5DvzeQ 🚂 https://youtu.be/o9sgjuh-CBM Timestamps: 0:00 Introduction 2:00 Incorporating BlazePose model 2:37 What are the xyz values? 4:30 Replace live camera with recorded video. 5:49 Render with p5.js WEBGL 7:48 Use scale() to expand range of xyz values 9:00 Creating 3D scene 9:58 Rotating scene. 11:24 Using orbitControl() 12:22 Using 3D shapes 13:42 Goodbye! Editing by Mathieu Blanchette Animations by Jason Heglund Music from Epidemic Sound 🚂 Website: https://thecodingtrain.com/ 👾 Share Your Creation! https://thecodingtrain.com/guides/passenger-showcase-guide 🚩 Suggest Topics: https://github.com/CodingTrain/Suggestion-Box 💡 GitHub: https://github.com/CodingTrain 💬 Discord: https://thecodingtrain.com/discord 💖 Membership: http://youtube.com/thecodingtrain/join 🛒 Store: https://standard.tv/codingtrain 🖋️ Twitter: https://twitter.com/thecodingtrain 📸 Instagram: https://www.instagram.com/the.coding.train/ 🎥 https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH 🎥 https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA 🔗 p5.js: https://p5js.org 🔗 p5.js Web Editor: https://editor.p5js.org/ 🔗 Processing: https://processing.org 📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct This description was auto-generated. If you see a problem, please open an issue: https://github.com/CodingTrain/thecodingtrain.com/issues/new #machinelearningml #webcam #posedetection #ml5js #movenet #blazepose #ml5js #javascript

Welcome to “A Beginner's Guide to Machine Learning in JavaScript”! In this series, I'll teach the concepts behind machine learning using the ml5.js library.

Learn how to use ml5.js for machine learning with JavaScript. ML5.js is built on top of TensorFlow.js, providing a simplified interface for integrating machine learning models into web applications. This course will guide you through the basics of using ML5.js to create interactive and intelligent web experiences, even if you have no prior experience with machine learning. 💻 Code: https://github.com/ousecTic/ml5js-course Course developed by @TheQuackLearner ⭐️ Contents ⭐️ ⌨️ (00:00) Introduction ⌨️ (01:43) Prerequisites ⌨️ (02:44) Beginner Guide to Machine Learning ⌨️ (08:54) Understanding Teachable Machine and the TensorFlow.js File structure ⌨️ (13:03) Teachable Machine Rock, Paper, Scissors Game ⌨️ (19:09) Pre-trained Model Explanation ⌨️ (20:33) Mobilenet Image Recognition Project ⌨️ (24:03) Transfer Learning Explanation ⌨️ (27:31) Build Mini Teachable Machine Clone ⌨️ (35:06) Common Misconceptions of Transfer Learning ⌨️ (36:50) Custom Model Student Score Prediction Demo ⌨️ (38:18) Custom Model Student Score Prediction Project ⌨️ (47:34) Using Kaggle Dataset and Saving our Model ⌨️ (53:03) Closing 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

Friendly machine learning for the web! 🤖 . Contribute to ml5js/ml5-library development by creating an account on GitHub.

ml5.js is an open-source library which aims to make machine learning approachable for a broad audience of artists, creative coders, and students: a friendly tool for creating intelligent systems in…