YOLO Body Tracking on the Pi 5 | Beginner Python Guide

🔗 The full guide : https://core-electronics.com.au/guide... In this tutorial we will be installing and running YOLO pose estimation on the Raspberry Pi 5*, as well as exploring how to *optimise the model to run smoothly on the Pi, how to run other models like YOLOv8*, and how to take the pose estimation output and *implement it in your projects*. We will be combining this all to create a game of *space invaders that is controlled with a person via a camera. 🔧🔨🧰 Hardware featured in this guide: Raspberry Pi 5: https://core-electronics.com.au/catal... Camera Module V3: https://core-electronics.com.au/catal... Raspberry Pis: https://core-electronics.com.au/raspb... 💡❓ If you have any questions about this content or want to share a project you're working on head over to our maker forum: http://coreelec.io/forum 🌏🦘 Core Electronics is located in the heart of Newcastle, Australia. We're powered by makers, for makers. Drop by if you are looking for: • Raspberry Pi https://core-electronics.com.au/raspb... • Arduino https://core-electronics.com.au/ardui... • Sparkfun https://core-electronics.com.au/brand... • Adafruit https://core-electronics.com.au/brand... • Pololu https://core-electronics.com.au/brand... • DFRobot https://core-electronics.com.au/brand... The following trademarks are owned by Core Electronics Pty Ltd: "Core Electronics" and the Core Electronics logo "Makerverse" and the Makerverse logo "PiicoDev" and the PiicoDev logo "GlowBit" and the GlowBit logo