Welcome to the OpenCV Code Tutorial repository! This repository is dedicated to providing beginners with a comprehensive guide to getting started with OpenCV, the popular computer vision library.
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It provides a wide range of tools and functions for image and video analysis, including image processing, object detection, feature extraction, and more.
This repository contains a series of Jupyter notebooks and Python scripts covering the basics of OpenCV. Each tutorial is designed to be beginner-friendly, with step-by-step explanations and code examples.
The tutorials cover the following topics:
- Image manipulation and processing
- Reading and displaying images and videos
- Basic image transformations (resizing, cropping, rotation)
- Color space conversion
- Object detection and tracking
- Feature detection and matching
- And more!
To get started with the tutorials, simply clone this repository to your local machine and open the Jupyter notebooks or Python scripts in your preferred development environment. Follow along with the instructions and code examples to learn the basics of OpenCV.
Contributions to this repository are welcome! If you have suggestions for improvements, bug fixes, or additional tutorials, feel free to open an issue or submit a pull request.