README

This is a tiny image processing library to convert your images to Voronoi mosaic or Warhol effect images. We used k-means clustering algorithms to determine the position of Voronoi sites and pixel groups of Warhol effect.

How to use

pip install imgrit

The library depends on Pillow, NumPy, and SciPy.

If you have scikit-learn, the library uses the faster k-means. You can install it together with pip install "imgrit[sklearn]".

The following is the input image.

from PIL import Image
import imgrit

my_image = Image.open("../images/original.jpg")
voronoi_mosaic = imgrit.voronoi_mosaic(my_image, 250)
voronoi_mosaic.save("voronoi-mosaic.png")

warhol_effect = imgrit.warhol_effect(my_image, 10)
warhol_effect.save("warhol-effect.png")

OpenSea

If you'd like to see more images, please visit Asakura Gallery Digital at OpenSea.

Citations

under preparation.