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HaiderAbasi / OpenCV-Raspberry-Pi-4-Projects-on-the-Edge

Harnessing the power of Raspberry Pi 4 to build cutting-edge computer vision solutions. Whether you're interested in object detection, image classification, or real-time video analysis, this project will give you the tools you need to get started.
MIT License
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Raspberry Pi 4 Computer Vision

This project utilizes the powerful capabilities of the Raspberry Pi 4 to perform various computer vision tasks, such as object detection, image classification, and more.

Getting Started

These instructions will get you a copy of the project up and running on your Raspberry Pi 4.

Prerequisites

What things you need to install the software and how to install them:

Installing

A step by step series of examples that tell you how to get the project running:

  1. Install Raspbian OS on your Raspberry Pi 4
  2. Update the system packages:
  3. Install Python 3 and OpenCV:
  4. (Optional) Install TensorFlow:

Usage

The project consists of several scripts, each performing a specific computer vision task. To run a script, simply navigate to the script's directory and run it using Python 3:

Contributing

We welcome contributions to this project. If you would like to contribute, please follow these guidelines:

  1. Fork the repository
  2. Create a new branch for your changes
  3. Make the changes and commit them
  4. Create a pull request

License

This project is licensed under the MIT License.

Acknowledgments