check for matching images using perceptual hashing

perc-dup-chek.py

from PIL import Image
import imagehash, os, sys

basenames1 = os.listdir(sys.argv[1])
basenames2 = os.listdir(sys.argv[2])

list1 = []
list2 = []
for (dirn, basen, lis) in ((sys.argv[1], basenames1, list1), (sys.argv[2], basenames2, list2)):
	for fil in basen:
		if(fil == '.DS_Store' or fil == 'Thumbs.db'):
			continue
		im = dirn + '/' + fil
		hsh = imagehash.whash(Image.open(im))
		lis.append((im, hsh))

html = open('o.html', 'w')
for (im, hsh) in list1:
	html.write('<img src="%s" width=240 />' % im)
	closest = None
	dist = 99999
	for (im2, hsh2) in list2:
		thisdist = hsh2 - hsh
		if(thisdist < dist):
			dist = thisdist
			closest = im2
	html.write('<img src="%s" width=240 /><br /><br /><br />' % closest)