Dividing a large image into smaller overlapping blocks for parallel processing

[Johannes Schönberger]

Great!

Am 01.09.2013 um 17:53 schrieb Colin Lea <colincsl at gmail.com>:

> I just made a function blocproc to do this. I'll add a pull request later today. It works in a similar way as the matlab feature. 
> 
> 
> 
> On Sunday, September 1, 2013 5:37:22 AM UTC-4, Johannes Schönberger wrote:
> Yes that should be very useful. Nevertheless, I think a function like Matlab's blockproc would be a really good addition. 
> 
> Am 01.09.2013 um 11:34 schrieb Stéfan van der Walt <ste... at sun.ac.za>: 
> 
> > On Sat, Aug 31, 2013 at 8:17 PM, Johannes Schönberger <js... at demuc.de> wrote: 
> >> - pad image with skimage.util.pad, which allows a large number of padding methods 
> >> - spawn a pool of processes using Python's multiprocessing package in the standard library 
> >> - use shared memory to provide read access to complete image 
> >> - define slices of image blocks and add them to a processing queue 
> > 
> > How about we add an `overlap` parameter to 
> > `skimage.utill.view_as_windows`?  That should solve this problem. 
> > 
> > Stéfan 
> > 
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