Re: [Numpy-discussion] Efficient numpy slicing for a "sliding window approach".

2009-02-20 Thread Nicolas Pinto
Thanks Josef. I'm not sure how I could use correlate2d because of the 'stride' parameter on the y and x axes, but I may be able to do something on the z axis. On Sat, Feb 21, 2009 at 12:56 AM, wrote: > On Sat, Feb 21, 2009 at 12:36 AM, Nicolas Pinto wrote: > > Thanks a lot for the pointer to s

Re: [Numpy-discussion] Efficient numpy slicing for a "sliding window approach".

2009-02-20 Thread josef . pktd
On Sat, Feb 21, 2009 at 12:36 AM, Nicolas Pinto wrote: > Thanks a lot for the pointer to segmentaxis. I'm trying to use it "as is" > and it seems that I need to a big reshape before the matrix multiplication. > Am I missing something ? > > > > > import nump

Re: [Numpy-discussion] Efficient numpy slicing for a "sliding window approach".

2009-02-20 Thread Nicolas Pinto
Thanks a lot for the pointer to segmentaxis. I'm trying to use it "as is" and it seems that I need to a big reshape before the matrix multiplication. Am I missing something ? import numpy as np from numpy import dot, transpose arrh, arrw, arrd = 480,640,

Re: [Numpy-discussion] Efficient numpy slicing for a "sliding window approach".

2009-02-20 Thread David Cournapeau
On Sat, Feb 21, 2009 at 1:46 PM, Nicolas Pinto wrote: > Dear all, > > I'm trying to optimize the code below and I was wondering if there is an > efficient method that could reduce the numpy slicing overheard without going > with cython. Is there anyway I could use mgrid to get a matrix with all my

[Numpy-discussion] Efficient numpy slicing for a "sliding window approach".

2009-02-20 Thread Nicolas Pinto
Dear all, I'm trying to optimize the code below and I was wondering if there is an efficient method that could reduce the numpy slicing overheard without going with cython. Is there anyway I could use mgrid to get a matrix with all my "windows" and then do a large matrix multiply instead? Any ide