ns of OpenCV, Scipy.ndimage and scikits-image would
cover pretty much all of my needs.
Thanks,
Alasdair
> Hey Alasdair,
>
>
>
> I believe OpenCV might do the trick for you:
>
> - it contains everything you seem to need (+ much much more);
>
> - it is effici
opment seems to
have stalled since 2009.
On Thursday, 29 November 2012 05:14:30 UTC+11, Michael Torrie wrote:
> On 11/28/2012 05:30 AM, Alasdair McAndrew wrote:
>
> > I'm investigating Python for image processing (having used Matlab,
>
> > then Octave for some years)
What I want to know is
- what are the current "standard" libraries for image processing in Python
which are in active development?
I have quite a few image processing student notes which I'm thinking of
converting to Python, but I'd like to use the most up-to-date
method.
I'll crawl back under my rock now.
-Alasdair
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tack([resize(im[:,:,i],(r//2,c//2)) for i in range(3)])
What I want to know is: is there a version of resize which can be applied
directly to multi-band images, without having to apply to each band separately?
Thanks,
Alasdair
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Thanks, all - you've been most helpful. By the way, what does // do? I
haven't yet run down its definition in the manual.
-A.
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unacceptable loss of precision.
What is the best way of finding a ceiling of a quotient of arbitrary sized
integers?
Thanks,
Alasdair
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Thanks - that did the trick! I wonder why it's not mentioned in the
README, or (so far as I can tell) anywhere else?
-Alasdair
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Sorry if this is a FAQ; I've spent some time searching the net for
helpful clues, and I am a python ultra-newbie.
Thanks,
Alasdair
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