This repository contains projects and code examples related to computer vision using OpenCV.
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It provides a wide variety of tools and functions for tasks such as image processing, feature detection, object recognition, and more.
This repository serves as a collection of projects, tutorials, and code samples showcasing the capabilities of OpenCV.
To use the projects and code samples in this repository, you need to have OpenCV installed on your system. You can install OpenCV using the following methods:
- Install via package manager: You can use package managers like
pip,apt,brew, orcondadepending on your platform and environment. - Build from source: You can download the source code from the official OpenCV repository and build it on your system.
Make sure to install the required dependencies and configure your development environment appropriately.
This repository includes various projects and code examples demonstrating different aspects of computer vision using OpenCV. Some of the projects you can find here include:
- Image processing and manipulation
- Object detection and tracking
- Face recognition
- Feature detection and matching
- Camera calibration and 3D reconstruction
- And more...
Feel free to explore the projects and tutorials provided here. Each project may contain its own README file with detailed instructions on how to use and run the code.
Contributions to this repository are welcome! If you have any code samples, tutorials, or projects related to OpenCV that you would like to share, please feel free to open a pull request. Make sure to follow the contribution guidelines outlined in the repository.
This repository is licensed under the MIT License. Feel free to use the code and projects for your own purposes. However, please note that some projects or code samples may have their own licenses, so make sure to check the individual files for details.