Camera Frame Project

A Python-based Camera Frame Project that captures live video feeds from a connected camera, applies various processing filters, and displays the output in real-time. This project is ideal for learning and experimenting with computer vision techniques.

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Features

• 🎥 Real-Time Video Capture: Access live feed from your system's camera.
• 🖼️ Frame Processing: Apply filters like grayscale, edge detection, or custom transformations.
• 🖥️ Interactive UI: Use keyboard shortcuts to toggle filters and capture frames.
• 💾 Frame Capture: Save processed frames as image files.

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Getting Started

Follow these steps to set up and run the project.

Prerequisites

• Python 3.x
• OpenCV library for Python (cv2)

Installation

1. Clone the repository:

   git clone https://github.com/Redbooster4/CameraFrame-
   cd camera-frame-project

2. Install dependencies:

   pip install opencv-python

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Usage

1. Run the Python script:

   python camera_frame.py

2. Interact with the live camera feed:

   • Press g to toggle grayscale mode.
   • Press s to save the current frame.
   • Press e to get only the edges of your frame.
   • Press q to quit the program.

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Technologies Used

• Python: Core programming language.
• OpenCV: For video capture and image processing.

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Contributing

Contributions are welcome! To contribute:

1. Fork the repository.
2. Create a feature branch:

   git checkout -b feature-name

3. Commit your changes and push to the branch:

   git push origin feature-name

4. Open a pull request.

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License

This project is licensed under the MIT License. See the LICENSE file for details.

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Acknowledgements

• OpenCV documentation for guidance on image processing.
• Community contributors for making this project better!

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