I tried the .tostring again, seems to be working using != instead of is not... Thanks for that thread link, very helpful.

I'll look more into im.transform and see what I can come up with. I'm not sure I fully understand what it does, but I'm reading it as I'll remove the wanted section of im and trash the rest. I'm more-so looking for a way to maybe divide an image into quantrants for individual manipulation without having to split and rebuild the image.

My goal with these two features is I'd like to create a way to compare an image for changes based on an area of the image, rather then the entire image. Lets use the quadrants for example (mental code).
 
1,2
3,4
^ this is how the quad appears on the image (upper left, upper right, etc...)

for space in quad:
    if newpic[space].tostring() != oldpic[space].tostring():
           oldpic[space] = newpic[space]
    else :
           # Dont really care because this [space] isn't important.
          
    

On 11/8/06, Danny Yoo < [EMAIL PROTECTED]> wrote:


On Wed, 8 Nov 2006, Chris Hengge wrote:

> I'm trying to figure out how to compare im1 to im2 and recognize the
> difference. I dont care what the difference is...
>
> something like
>
> if im1 is not im2:
>    print "Not same"

Do not use 'is' here.  It is not doing any kind of equality testing at
all.  We had a discussion about 'is' just a few days ago:

     http://mail.python.org/pipermail/tutor/2006-November/050680.html

According to:

     http://www.pythonware.com/library/pil/handbook/image.htm

the im.getdata() function looks interesting.


> I've tried im.tostring() but that doesn't ever enter the loop either.

This should have worked.  I'm not sure if you tried comparing
two strings using 'is' or not.

> Second question is this:
> Is there a way to divide the screen so I only grab maybe the lower right
> 200x200 pixels or some such?
> Or possibly a way to seperate the image into a grid so I could just take the
> grid I wanted?

im.transform() from the documentation link above looks relevant.  Is that
what you're looking for?

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