This project provides a tool to convert the colors in any image to the closest matching RAL classic colors using a nearest-neighbor search on a k-d tree. The script processes each pixel of the image and replaces its color with the corresponding RAL color based on RGB similarity. This can be useful for image analysis, design consistency, or color standardization in projects involving the RAL color system.
Example:
Original Image Converted Image
- Converts image colors to the closest matching RAL classic colors using a nearest-neighbor search on a k-d tree.
- Supports batch processing of images.
- Provides an easy-to-use interface for handling image files and RAL color mapping.
- The RAL color list used in this project is sourced from a Gist by lunohodov.
- Clone the Repository:
git clone https://github.com/JohannesVoigt/ral-color-converter.git
cd ral-color-converter- Create a virtual environment (optional but recommended):
python3 -m venv venv- Activate the virtual environment
- On Linux
source venv/bin/activate
- On Windows
venv\Scripts\activate
- Install Dependencies: Install the required Python libraries by running
pip install .Load your image(s) in the images folder and the tool will automatically map its colors to the nearest RAL equivalents by running the main script. Example usage: ' On Linux
python run_collor_converter.py- On Windows
python .\run_color_converter.py