On 11 March 2013 15:23, inshu chauhan <insidesh...@gmail.com> wrote:
> I am trying to create a dictionary with a key and its values seraching
> from a data set. But something is going wrong. This is the first time I am
> working with dicts.
>
> My code is :
>
> import cv
> def Computesegclass(segimage):
> num_pixel = 0
> for y in xrange(0, segimage.height):
> for x in xrange(0, segimage.width):
>
> if segimage[y,x] == (0.0, 0.0, 0.0):
> continue
> else:
> color = segimage[y,x]
> blue = color[0]
> green = color[1]
> red = color[2]
> region_num = blue + 256 * green + 65536 * red
> print region_num
> segments = dict({region_num : num_pixel})
> if region_num == region_num:
> num_pixel = +1
> print segments
>
> if __name__== "__main__":
> segimage =
> cv.LoadImageM("Z:/Segmentation/segmentation_numbers_00000.tif",
> cv.CV_LOAD_IMAGE_UNCHANGED)
> print segimage
> Computesegclass(segimage)
>
>
> here I am traversing through an image which is 3000 x 3000. for each pixel
> I calculate a region number. What I am trying to do is increase the
> num_pixel by 1 if that pixel falls in the same region which is identified
> by region_num. How can I do it in dict created ?
>
> Thanx in Advance
>
>
If I am understanding you correctly you want to accumulate a pixel count
for each region. I would suggest a default dict, and that you do something
like
from collections import defaultdict
def ComputeSegClass(seqimage):
segments = defaultdict(int)
<snip>
if region_num == region_num:
segments[region_num] += 1
But as John mentioned, your comparison here will always be true, so you
will need to fix this to test for your case.
--
./Sven
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