Created
September 27, 2011 21:14
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Average Image Color
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from PIL import Image | |
def average_image_color(filename): | |
i = Image.open(filename) | |
h = i.histogram() | |
# split into red, green, blue | |
r = h[0:256] | |
g = h[256:256*2] | |
b = h[256*2: 256*3] | |
# perform the weighted average of each channel: | |
# the *index* is the channel value, and the *value* is its weight | |
return ( | |
sum( i*w for i, w in enumerate(r) ) / sum(r), | |
sum( i*w for i, w in enumerate(g) ) / sum(g), | |
sum( i*w for i, w in enumerate(b) ) / sum(b) | |
) | |
if __name__ == '__main__': | |
import sys | |
if len(sys.argv) > 1: | |
print average_image_color(sys.argv[1]) | |
else: | |
print 'usage: average_image_color.py FILENAME' | |
print 'prints the average color of the image as (R,G,B) where R,G,B are between 0 and 255.' | |
Are you sure this does what you think it does? I'm thinking it actually takes the full histogram and cuts it up into four parts... I tested this on a single color image and the histograms don't look right to me. I could be wrong.
# split into red, green, blue
r = h[0:256]
g = h[256:256*2]
b = h[256*2: 256*3]
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Hi! I liked this very much. While I understand most images are RGB, some are not. I wanted to write it in a way that could work with any image color mode: https://gist.github.com/dyspop/77b220a38e4309326bdf802ac9ac1b64
The above returns
{ 'R': 100, 'G': 101, 'B': 12 }
I'd like it to really return
{ 'RGB' : (100, 101, 12) }
but I couldn't figure out how to do that and support producing tuples of unknown length