Auto Color by Numbers is a computer vision project that transforms any input image into a "color by numbers" style output. The application segments the image into distinct color regions, outlines each region with a unique number, and generates a master list mapping these numbers to their representative RGB colors. A web interface built with Flask allows users to upload images, choose the level of detail, and view/download the processed results.
- Screenshot 1: Home page with intuitive image upload.
- Screenshot 2: Detail level selection.
- Screenshot 2: Processing log with live updates.
- Screenshot 3: Final output displaying the numbered image, colored preview, and master color list.
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Image Preprocessing:
- The image is blurred to smooth out small details.
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Color Segmentation:
- The image is converted to the HSV color space.
- k-Means clustering segments the image into color regions, with the level of detail controlled by the value of k.
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Post-Processing:
- Small regions are merged or removed.
- Each region is outlined and labeled with a unique number.
- A master list of region numbers and their corresponding average RGB colors is generated.
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Output Generation:
- A "numbered" image with outlined regions and overlaid numbers is created.
- A colored preview image is generated to show how the regions look when filled with their representative colors.
- Both images are available for download.
- Python 3.x
- pip
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Clone the Repository:
git clone https://github.com/alexholland4/auto-color-by-numbers.git cd auto-color-by-numbers -
Create a Virtual Environment (Optional but recommended):
python -m venv venv source venv/bin/activate # On Windows use: venv\Scripts\activate
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Install Dependencies:
pip install -r requirements.txt
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Run the Flask App:
python app.py
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Open Your Browser: Navigate to http://localhost:5000 to use the web app.
Feel free to submit a pull request for any updates, or contact the author, Alex Holland, at hello@alexholland.tech for any further questions.