PyColorPalette is a Python 3 tool capable of pulling a list of the top colors, or the color at a specific index, from a given image through the process of K-means clustering. Images can be provided either through a direct path or from a URL. Along with the RGB/Hex color value, you have the option to also retreive the percentage of the image that specific color takes up.
See examples below!
PyColorPalette derives a color palette using K-means clustering to create a cluster map. To see the cluster map use show_clustering=True. (Thank you, ZeevG)
from PyColorPalette import ColorPalette
pal = ColorPalette(r"/Users/user/Pictures/my_image.png", show_clustering=False)
#Use a raw string for Windows paths.
print(pal.get_top_colors(n=5, ratio=False, rounded=True))
# [(251, 243, 230), (101, 50, 81), (59, 18, 48), (58, 17, 47), (60, 19, 49)]
print(pal.get_color(index=3, ratio=True, rounded=True))
# ((58, 17, 47), 14)
'''
Retrieve values in hex.
'''
print(pal.get_color(index=3, ratio=True, to_hex=True, rounded=False))
# ('#3a112f', 14.1953125)
PyColorPalette uses the Python Imaging Library (PIL) and numpy. To Install:
pip install Pillow
pip install numpy
(Pillow and PIL cannot co-exist in the same environment. Before installing Pillow, please uninstall PIL if previosuly installed.)
pip install PyColorPalette