OpenCV Master Repository 🚀

Welcome to the OpenCV Master Repository – a comprehensive collection of Python projects showcasing the power of OpenCV, NumPy, Matplotlib, and AI integrations. This repository serves as a hub for all your OpenCV experiments, tutorials, and real-world applications.

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📖 About the Repository

This repository is designed to house a wide array of OpenCV-based projects, from simple image processing techniques to AI-powered applications. Whether you're exploring foundational concepts or implementing cutting-edge techniques, this repository will grow as you add new projects and experiments.

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🛠️ Tools and Libraries Used

The projects in this repository use the following tools and libraries:

• OpenCV: For all image and video processing needs.
• NumPy: For numerical operations and matrix manipulations.
• Matplotlib: For visualizing images, masks, and other data.
• Python: The core language for all implementations.

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🚀 Current Projects

1. Blue Screen Background Replacement

• Description: Replace blue screen regions in images with custom backgrounds (e.g., space themes).
• Features:
  • Isolate blue-colored regions using HSV color thresholding.
  • Create and save binary masks for foreground and background separation.
  • Replace blue screen regions with any custom background.
• Technologies Used: OpenCV, NumPy, Matplotlib.

2. Color Thresholding

• Description: Isolate and visualize specific colors in an image using HSV-based thresholding.
• Features:
  • Detect a range of colors (e.g., blue, green, red).
  • Generate masks for color-based segmentation.
  • Visualize results using Matplotlib.
• Technologies Used: OpenCV, NumPy, Matplotlib.

3. Foreground and Background Segmentation

• Description: Separate foreground and background regions in an image using binary masks.
• Features:
  • Create masks for segmentation.
  • Save isolated foreground and background images.
  • Visualize all steps using Matplotlib.
• Technologies Used: OpenCV, NumPy, Matplotlib.

  Contribution Guidelines

Thank you for considering contributing to the OpenCV Master Repository! To ensure smooth collaboration, please follow these guidelines:

How to Contribute

1. Fork this repository to your own GitHub account.
2. Clone the forked repository to your local machine:

   git clone https://github.com/your-username/OpenCV.git
   cd OpenCV
   
   

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📚 How to Use This Repository

Prerequisites

Ensure you have the following installed:

• Python 3.7+ (Download Python)
• Required libraries:

  pip install opencv-python matplotlib numpy