def average_hash2( self ):
pass
"""
# Got this one from somewhere on the net. Not a clue how the 'convolve2d'
# works!
from numpy import array
from scipy.signal import convolve2d
im = self.image.resize((self.width, self.height), Image.ANTIALIAS).convert('L')
in_data = array((im.getdata())).reshape(self.width, self.height)
filt = array([[0,1,0],[1,-4,1],[0,1,0]])
filt_data = convolve2d(in_data,filt,mode='same',boundary='symm').flatten()
result = reduce(lambda x, (y, z): x | (z << y),
enumerate(map(lambda i: 0 if i < 0 else 1, filt_data)),
0)
#print "{0:016x}".format(result)
return result
"""
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