OpenCV Project

This project is designed to help you learn OpenCV from scratch. OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It provides a wide range of functions and algorithms to process images and videos.

Getting Started

To get started with this project, follow the steps below:

1. Clone the repository to your local machine.
2. Install OpenCV on your system. You can find installation instructions in the official OpenCV documentation.
3. Open the project in your preferred code editor.
4. Explore the code examples and tutorials provided in the repository.

Contents

The repository contains the following files and directories:

• examples/: This directory contains code examples that demonstrate various OpenCV functionalities.
• tutorials/: This directory contains step-by-step tutorials to help you learn OpenCV concepts.
• images/: This directory contains sample images used in the examples and tutorials.
• video/: This directory contains sample videos used in the examples and tutorials.
• README.md: This file provides an overview of the project and instructions on how to get started.

Contributing

Contributions to this project are welcome! If you have any improvements or additional examples, feel free to submit a pull request.

Resources

Here are some additional resources to help you learn more about OpenCV:

• OpenCV Documentation: Official documentation for OpenCV.
• OpenCV Tutorials: Official tutorials provided by OpenCV.
• OpenCV-Python Tutorials: Comprehensive tutorials on OpenCV using Python.

License

This project is licensed under the MIT License.