OpenCV Basics is a collection of fundamental tutorials and examples designed to help beginners get started with OpenCV, the popular computer vision library. This repository covers essential concepts and operations in computer vision using OpenCV.
This repository provides a series of tutorials that demonstrate the basics of OpenCV. Each tutorial is designed to be simple and easy to follow, covering topics such as image processing, feature detection, and object tracking.
To run the tutorials in this repository, follow these steps:
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Clone the repository:
git clone https://github.com/NaimulHasanEmon/OpenCV-Basics.git cd OpenCV-Basics
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Create a virtual environment (optional but recommended):
python -m venv venv source venv/bin/activate # On Windows, use `venv\Scripts\activate`
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Install the required dependencies:
pip install -r requirements.txt
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🖼️ Image Processing:
- Reading and displaying images
- Basic image operations (resize, crop, rotate)
- Color space conversions
- Image filtering (blur, sharpen, edge detection)
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✨ Feature Detection:
- Corner detection (Harris, Shi-Tomasi)
- SIFT, SURF, and ORB
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🛸 Object Tracking:
- MeanShift and CamShift
- Tracking with OpenCV
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🎦 Video Processing:
- Reading and writing videos
- Background subtraction
- Frame differencing
Each tutorial is located in its own directory and includes a README file with detailed explanations and code examples.
We welcome contributions to enhance the tutorials and examples in this repository. If you have any suggestions, bug reports, or pull requests, please follow these steps:
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Fork the repository:
git fork https://github.com/NaimulHasanEmon/OpenCV-Basics.git
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Create a new branch:
git checkout -b feature/YourFeatureName
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Make your changes and commit them:
git commit -m "Add new feature"
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Push to your forked repository:
git push origin feature/YourFeatureName
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Create a pull request: Describe your changes and submit the pull request.
I am Md. Naimul Hasan, a dedicated computer science undergraduate with a strong passion for software development, specializing in the MERN stack. My expertise extends to machine learning, computer vision, and problem-solving, where I actively pursue complex challenges to enhance my coding proficiency.
Feel free to reach out to me for any inquiries, collaborations, or just to say hi!
For any inquiries or issues, please contact Md. Naimul Hasan at [email protected].
Thank You for visiting here.