Sift on GPU

[Andreas Mueller]

Hi Jerome.
Have you benched against vl_feat.
They have pretty optimized C code, and I think it would be very 
interesting to see
if you are faster. Their code is also BSD, btw.

Cheers,
Andy

On 06/12/2013 10:51 PM, Jérôme Kieffer wrote:
> Dear Pythonistas,
>
> We are porting the SIFT keypoints extraction algorithm (available from IPOL)
> to GPU using PyOpenCL. For the moment, the keypoint location works and
> shows a speed-up of 5 to 10x (without tuning so far, vs C++).
>
> A lot of work is remaining, especially:
> * limit the memory footprint (700MB/10Mpix image currently)
> * calculate the descriptor for each descriptor
> * keypoint matching and image alignment.
> * best interleave of IO/CPU/GPU
> but we managed to port the most trickiest part to OpenCL (without using
> textures, which makes it running also on multi-core).
>
> I would like to thank the people who published their algorithm on IPOL;
> making unit testing possible.
>
> Last but not least, the code is open source and should have a BSD
> licence (even if there is a patent on the algorithm in the USA).
> https://github.com/pierrepaleo/sift_pyocl
>
> Cheers,
>