YOLO Body Tracking on the Pi 5 | Beginner Python Guide

🔗 *The full guide* : _https://core-electronics.com.au/guides/raspberry-pi/getting-started-with-yolo-pose-estimation-on-the-raspberry-pi/_

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/catalog/product/view/sku/CE09785_
*Camera Module V3:*
_https://core-electronics.com.au/catalog/product/view/sku/CE09425_
*Raspberry Pis:*
_https://core-electronics.com.au/raspberry-pi/boards.html#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:* _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/raspberry-pi.html_
• *Arduino* _https://core-electronics.com.au/arduino.html_
• *Sparkfun* _https://core-electronics.com.au/brands/sparkfun-australia_
• *Adafruit* _https://core-electronics.com.au/brands/adafruit-australia_
• *Pololu* _https://core-electronics.com.au/brands/pololu-australia_
• *DFRobot* _https://core-electronics.com.au/brands/dfrobot-australia_

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