This tutorial will provide step-by-step instructions for how to set up TensorFlow 2.* on the Raspberry Pi. By following this step by step guide, you will be able to use your Raspberry Pi to perform object detection on live video feeds from a Picamera or USB webcam. After this tutorial, you will be able to combine this tutorial with my previous tutorials on how to train your own custom YOLOv3 object detector to identify specific objects. The whole tutorial is divided into 7 parts:
1. Set up and update the Raspberry Pi;
2. Install all needed packages and libraries;
3. Install OpenCV;
4. Install TensorFlow;
5. Set up my YOLOv3 GitHub directory;
6. Raspberry Pi Camera configuration;
7. Detect objects!
Text version tutorial: https://pylessons.com/YOLOv3-TF2-Rasp...
Full video playlist: • Yolo v3 Introduction to object detect...
GitHub code: https://github.com/pythonlessons/Tens...
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