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- from PIL import Image
- import os
- for root_n, dirs_n, filenames_n in os.walk('noisy'):
- for f_n in filenames_n:
- if f_n <> ".DS_Store":
- path_n = os.path.join(root_n, f_n)
- noisy = Image.open(path_n,'r')
- noisy_palette = noisy.convert('P', palette=Image.ADAPTIVE).getcolors()
- for root, dirs, filenames in os.walk('covers'):
- for f in filenames:
- if f <> ".DS_Store":
- path = os.path.join(root, f)
- cover = Image.open(path,'r')
- cover_palette = cover.convert('P', palette=Image.ADAPTIVE).getcolors()
- if noisy_palette == cover_palette:
- print("%s %s" % (f_n,f))
- break
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