OpenCV?

[Damian Eads]

LIBCVD: http://mi.eng.cam.ac.uk/~er258/cvd/

Have you considered LIBCVD as an alternative to OpenCV? It is highly
optimized for frame-rate real-time applications but also has a nice,
succinct, simple (almost pythonic) syntax.

For example,

   Image<float> img = img_load("lena.png")
   Image<float> out(img.size());
   convolveGaussian(img, out, 3.0);

loads an image from a file and convolves a Gaussian with it.

LIBCVD's design is very simple: there are only three main classes and
its interface is designed to be very functional so it translates from
Python very nicely. Most of its dependencies are optional so it
compiles very easily. You don't have to use pointers very much in
LIBCVD, which eliminates many kinds of bugs--iteration is done with
highly optimized and succinct iterators and index operators (e.g.
image[y][x]). Best of all, it's very fast.

Damian

PS: I'm cc'ing Edward Rosten who's the author of LIBCVD.

2009/9/25 Stéfan van der Walt <stefan at sun.ac.za>:
>
> Hi Mike
>
> 2009/9/25 Mike Sarahan <msarahan at gmail.com>:
>> Sorry if I missed this in discussions at the sprint, but is there any
>> reason we're not taking advantage of OpenCV?  It may be a little more
>> than what this scikit is aiming to offer, but it has some really nice,
>> well-optimized routines.  It's BSD licensed.  I have been using the
>> ctypes-opencv python wrapper, which is also BSD licensed.
>
> I know there are two sets of wrappers, but I haven't used either.  Do
> you know their pros and cons?
>
> OpenCV is a fairly heavy dependency, but if it adds good value I see
> little reason to avoid it.
>
> Regards
> Stéfan
>



-- 
-----------------------------------------------------
Damian Eads                           Ph.D. Candidate
University of California             Computer Science
1156 High Street         Machine Learning Lab, E2-489
Santa Cruz, CA 95064    http://www.soe.ucsc.edu/~eads