YOLO Object Detection on the Raspberry Pi AI HAT | Writing Python Scripts

🔗 *The full guide* : _https://core-electronics.com.au/guides/raspberry-pi/yolo-object-detection-on-the-raspberry-pi-ai-hat-writing-custom-python/_

In this guide, we will be exploring how to set up *YOLO object detection* with the *Raspberry Pi AI HAT*, and more importantly, learning how to apply this in your *Python projects*. We will be taking a look at how to *install* the required *hardware and firmware* as well as how to set up and use the object detection *Python pipelines*. The result of this guide will have you equipped with an understanding of this whole setup, as well as three different *example scripts* we have written. One will "do something" when an object is detected, another when a certain number of objects are detected, and the last when an object is detected in a certain location.

🔧🔨🧰 Hardware featured in this guide:

*13 TOPS AI HAT+:*
_https://core-electronics.com.au/catalog/product/view/sku/CE09993_
*26 TOPS AI HAT+:*
_https://core-electronics.com.au/catalog/product/view/sku/CE09994_
*Raspberry Pi 5:*
_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_

0:00 What we will be doing
0:30 What you will need
1:00 Installing the AI HAT
1:54 Installing firmware and Python pipelines
3:37 Looking at the file structure and pipeline
4:49 Running object recognition demo
6:29 Exploring the Python demo script
8:23 Project code 1: detecting objects
13:19 Disabling FPS shell reading
13:58 Project code 2: counting objects
16:03 Project code 3: object position
18:08 Wrap up

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• *Raspberry Pi* _https://core-electronics.com.au/raspberry-pi.html_
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