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Date: Mon, 11 Mar 2013 16:23:05 +0100
Subject: working with dict : incrementing dict dynamically
From: inshu chauhan <insideshoes@gmail.com>
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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

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<div dir=3D"ltr"><div><div><div>I am trying to create a dictionary with a k=
ey and its values seraching from a data set. But something is going wrong. =
This is the first time I am working with dicts.<br><br></div>My code is :<b=
r>
<br>import cv <br>def Computesegclass(segimage):<br>=A0=A0=A0 num_pixel =3D=
 0<br>=A0=A0=A0=A0=A0=A0=A0 for y in xrange(0, segimage.height):<br>=A0=A0=
=A0=A0=A0=A0=A0 for x in xrange(0, segimage.width):<br>=A0=A0=A0=A0=A0=A0=
=A0=A0=A0=A0=A0 <br>=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 if segimage[y,x] =3D=
=3D (0.0, 0.0, 0.0):<br>
=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 continue<br>=A0=A0=A0=A0=A0=
=A0=A0=A0=A0=A0=A0 else:<br>=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 c=
olor =3D segimage[y,x]<br>=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 blu=
e =3D color[0]<br>=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 green =3D c=
olor[1]<br>=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 red =3D color[2]<b=
r>=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 region_num =3D blue + 256 *=
 green + 65536 * red<br>
=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 print region_num<br>=A0=A0=A0=
=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 segments =3D dict({region_num : num_pi=
xel})<br>=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 if region_num =3D=3D=
 region_num:<br>=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 n=
um_pixel =3D +1 <br>=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 print seg=
ments<br><br>
if __name__=3D=3D &quot;__main__&quot;:<br>=A0=A0=A0 segimage =3D cv.LoadIm=
ageM(&quot;Z:/Segmentation/segmentation_numbers_00000.tif&quot;, cv.CV_LOAD=
_IMAGE_UNCHANGED)<br>=A0=A0=A0 print segimage<br>=A0=A0=A0 Computesegclass(=
segimage)<br><br><br>
</div>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 n=
um_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 ?<br>
<br></div>Thanx in Advance<br><div><br><br></div></div>

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