🔗 *The full 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:* _ *Camera Module V3:* _ *Raspberry Pis:* _ #category_1392_ 💡❓ If you have any questions about this content or want to share a project you're working on head over to our *maker 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* _ • *Arduino* _ • *Sparkfun* _ • *Adafruit* _ • *Pololu* _ • *DFRobot* _ 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