ssecorp wrote:
or why does this take so god damn long time?
Several reasons. One of which is that try: except: is slow.
and if I run into an IndexError it break out of the inner loop right?
so having range up to 10000000 or 1000 wouldn't matter if biggest
working x is 800?
try: except: needs to set up a few things before the try: suite is executed. You
pay this cost regardless of whether the exception fires or not.
def getPixels(fileName):
im = PIL.Image.open(fileName)
colors = []
for y in range(1, 1000):
row = []
for x in range(1, 1000):
try:
color = im.getpixel((x,y))
row.append(color)
except IndexError:
break
Images have a size tuple attached to them. I recommend using that to get the
upper bounds of the iterations.
colors.append(row)
return numpy.array(colors)
Or, with reasonably modern versions of PIL and numpy:
In [1]: import Image
In [2]: im = Image.open('lena.png')
In [3]: import numpy
In [4]: numpy.asarray(im)
Out[4]:
array([[[228, 134, 132],
[228, 134, 132],
[228, 135, 130],
...,
[244, 151, 136],
[227, 132, 114],
[197, 102, 82]],
[[228, 135, 130],
[228, 135, 130],
[228, 135, 130],
...,
[237, 145, 124],
[219, 127, 102],
[191, 100, 73]],
[[227, 134, 129],
[227, 134, 129],
[227, 134, 127],
...,
[236, 147, 117],
[216, 130, 97],
[192, 106, 71]],
...,
[[ 87, 22, 56],
[ 89, 24, 58],
[ 90, 25, 59],
...,
[178, 67, 76],
[180, 65, 72],
[179, 62, 70]],
[[ 87, 22, 56],
[ 88, 23, 57],
[ 90, 25, 59],
...,
[183, 68, 75],
[188, 67, 72],
[190, 67, 72]],
[[ 86, 21, 55],
[ 88, 23, 57],
[ 90, 25, 59],
...,
[186, 70, 73],
[193, 70, 73],
[195, 71, 73]]], dtype=uint8)
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth."
-- Umberto Eco
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