Color Detection

Description: Color Detection is a simple Python script that utilizes computer vision techniques to detect and identify dominant colors in an image. The script uses the OpenCV library for image processing and color analysis. It allows users to input an image file and receive a visual representation of the most prominent colors present in the image.

Features:

• Detects dominant colors in an image.
• Provides a graphical representation of the identified colors.
• Easy-to-use and user-friendly interface.
• OpenCV-based image processing for accurate color analysis.

How to Use:

1. Clone the repository or download the source code from GitHub.
2. Install the required dependencies by running pip install -r requirements.txt.
3. Run the color_detection.py script.
4. Provide the path to the image file you want to analyze when prompted.
5. The script will process the image and display the detected colors along with their percentage of dominance.

Dependencies:

• Python 3.x
• OpenCV
• NumPy

Example:

$ python color_detection.py
Enter the path to the image: /path/to/your/image.jpg

Contributing: Contributions are welcome! If you have any ideas for improvements or new features, please submit a pull request. Before contributing, make sure to read the contribution guidelines.

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

Contact: If you have any questions or suggestions, feel free to reach out to the project owner hemanth5544 through GitHub.

Enjoy detecting colors in your images with Color Detection!