🔗 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
Nesta página do site você pode assistir ao vídeo on-line YOLO Body Tracking on the Pi 5 | Beginner Python Guide duração hora minuto segundo em boa qualidade , que foi baixado pelo usuário Core Electronics 29 Outubro 2024, compartilhe o link com seus amigos e conhecidos, no youtube este vídeo já foi visto 9,053 vezes e gostou 259 espectadores. Boa visualização!