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https://github.com/ibensusan/colour-palette-extractor
A Python project that extracts the dominant colours from any image to create a visually appealing colour palette.
https://github.com/ibensusan/colour-palette-extractor
Last synced: 25 days ago
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A Python project that extracts the dominant colours from any image to create a visually appealing colour palette.
- Host: GitHub
- URL: https://github.com/ibensusan/colour-palette-extractor
- Owner: iBensusan
- License: mit
- Created: 2024-11-10T16:28:49.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-11T11:50:38.000Z (about 2 months ago)
- Last Synced: 2024-11-11T12:35:45.989Z (about 2 months ago)
- Size: 1000 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Image Color Palette Extractor
A Python program that extracts the dominant colors from an image and creates a visually appealing color palette. It uses OpenCV to load the image and Scikit-learn’s KMeans clustering algorithm to identify the main colors. This project is an excellent way to learn about image analysis, clustering techniques, and visualization while producing engaging results.
## Features
- **Dominant Color Extraction**: Uses KMeans clustering to find the most common colors in the image.
- **Image Processing with OpenCV**: Utilizes OpenCV for efficient image loading and manipulation.
- **Color Palette Visualization**: Displays the extracted colors as a palette using Matplotlib.
## Requirements
- Python 3.x
- OpenCV
- Numpy
- Scikit-learn
- Matplotlib
Install the required libraries with:
```bash
pip install opencv-python numpy scikit-learn matplotlib
```
## Installation
1. Clone this repository or download the project files:
```bash
git clone https://github.com/username/image-color-palette-extractor.git
cd image-color-palette-extractor
```
2. Ensure you have Python 3 installed:
```bash
python --version
```
3. Install the required libraries:
```bash
pip install opencv-python numpy scikit-learn matplotlib
```
4. Place your image file (e.g., `image.png`) in the project directory.
## Usage
1. Run the color palette extractor script:
```bash
python color_palette_extractor.py
```
2. The program will read the specified image file (`image.png`) and extract the dominant colors.
3. A color palette will be displayed in a Matplotlib window showing the extracted colors.
## Example Workflow
1. Place an image file (e.g., `image.png`) in the project folder.
2. Run the script to generate and display the color palette.
3. Observe the extracted color palette, which showcases the dominant colors in the image.
## Files
- `color_palette_extractor.py`: The main Python script that implements the color extraction and visualization functionality.
- `README.md`: Project description and usage instructions.
## Professional Use Cases
This tool has several potential applications in the professional world:
1. **Design and Branding**: Extracting dominant colors from an image can help designers create cohesive color palettes for branding, websites, and marketing materials.
2. **Data Analysis in Fashion and Retail**: Retail companies can analyze product images to determine popular colors and trends, assisting in inventory decisions and targeted marketing strategies.
3. **Digital Art and Photography**: Photographers and digital artists can use the extracted color palette as inspiration for editing and color grading, ensuring visually consistent results.
4. **Content Creation and Social Media**: Content creators can extract a color palette from their photos to maintain a consistent visual theme across their social media posts.
## License
This project is licensed under the MIT License.