This python module is intended to provide a set of image analysis tools. This is very much a work in progress...
by Giv Parvaneh
- Python 2.6+
- Python Imaging Library (PIL)
- NumPy
- ColorMath
Then pip install RoyGBiv
>>> from roygbiv import *
>>> roy = Roygbiv('test.png')
>>> roy.get_average_hex()
'#468489'
>>> roy.get_average_rgb()
(70, 132, 137)
>>> roy.get_palette_rgb()
[(87, 145, 138), (52, 126, 140), (44, 97, 117), (154, 168, 145), (199, 194, 158)]
>>> roy.get_palette_hex()
['#57918a', '#347e8c', '#2c6175', '#9aa891', '#c7c29e']
get_average_hex()
return the average color in the image and return as a hex stringget_average_rgb()
return the average color in the image and return as RGB tupleget_palette()
return a list of all prominent colors in the image with prominence weight valueget_palette_rgb()
return a list of all prominent colors in RGBget_palette_hex()
return a list of all prominent colors in hex
A lot of this code is borrowed from the most excellent Colorific project but modified to work with Python 2.6 + other tweaks