This is a hobby project that generates a coloring book image along with a color palette, given any image.
It uses k-means clustering to find color centroids and consequently, generates a colorized image. It then performs Canny Edge Detection to generate an outlined color book image. A palette indicating the color centroids is also created.
- Python3 [3.8.5]
- NumPy [1.17.4]
- PIL [7.0.0]
- skimage [0.18.1]
- sklearn [0.23.2]
$ cd python-implementation
$ python3 gscolorbook.pyCurrently, you can mention the image path in the main() function. Command-line arguments are coming soon!
colorbook = ColorBook("../images/abs.png")The default number of colors in the palette (color centroids) is 10. However, you can change this as below.
self.color_centroids = 10- Command-line arguments
- C++ implementation
- Experiment with more advanced clustering algorithms
- Option to choose beginner-advanced level coloring
- Hopefully a nice GUI!
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.