Welcome to the "Hands-on with OpenCV" repository! This repository is a comprehensive collection of practical examples, projects, and code snippets designed to showcase the capabilities and usage of OpenCV, a popular open-source computer vision library.
OpenCV is a powerful library that enables image and video analysis, processing, and computer vision tasks. The main goal of this repository is to provide a hands-on learning experience with OpenCV through a diverse range of practical examples and projects. Whether you are a beginner looking to learn OpenCV or an experienced developer seeking inspiration and code samples, this repository is a valuable resource for you.
All the code in this repository is implemented in Jupyter Notebook, specifically in Hands-on-with-OpenCV.ipynb. The development process involved the use of Python, OpenCV, and other Python libraries such as Matplotlib and Numpy. Matplotlib is utilized for image visualization and plotting, while Numpy is used for array transformations.
This repository covers various topics related to computer vision and image processing using OpenCV. The topics include:
- Introduction
- Installations and Imports
- I/O Images & Video
- Resizing and Rescaling Frames
- Drawing Shapes & Putting Text
- Color conversion
- Image Blurring
- Edge Detection
- Image Dilating
- Resizing
- Image Cropping
- Image Rotation
- Image Flipping
- Image Eroding
- Bitwise Operations
- Image Translation
- Image Transformations
- Contour Detection
- Color Spaces
- Color Channels
- Histogram Computation
- Masking
- Thresholding/Binarizing Images
- Edge Detection
- Face Detection
- Face Recognition
These topics are thoroughly explored in the Jupyter Notebook, providing detailed explanations, code snippets, and examples.
To get started, make sure you have Jupyter Notebook installed along with the required dependencies, including Python, OpenCV, Matplotlib, and Numpy. Then, follow these steps:
- Clone this repository to your local machine using the following command:
git clone https://github.com/ajitsingh98/Hands-on-with-OpenCV.git- Open the Hands-on-with-OpenCV.ipynb file in Jupyter Notebook.
- Explore the notebook, navigate through the different topics, and run the code cells to see the results.
- Each code cell is accompanied by explanations and comments to aid your understanding.
- Feel free to experiment with the code, modify it, and adapt it to your specific needs.
Contributions to this repository are welcome! If you have any improvements, bug fixes, or new examples/projects to add, please follow the guidelines below:
- Fork the repository.
- Create a new branch for your contribution:
git checkout -b my-feature. - Make your changes and commit them:
git commit -m 'Add my feature'. - Push to the branch:
git push origin my-feature. - Open a pull request, describing your changes in detail and mentioning the motivation and impact of your contribution.
- Please ensure that your code adheres to the existing coding style and is well-documented.
This repository is licensed under the MIT License. You are free to use, modify, and distribute the code in this repository for personal or commercial purposes.