I have created a gist with my thoughts of what such a function could look like.
The examples shown are a bit contrived, with border_size=(0,0) and non-overlapping 'rolling' windows, but the idea should be clear I think.
The proc_func function can either process and return a value synchronously, or create a separate job/process for each window, depending on implementation. By keeping this logic separate from the windowing function any multiprocessing-type solution can be used according to preference. In the case of asynchronous processing the results tuple will either be filled with None, or any other value returned by proc_func, ie it will not be the asynchronous result itself and the proc_func will have to implement a way for the asynchronous results to be returned when available (callback function as an example).
Your thoughts?
Riaan
On Sunday, September 1, 2013 7:25:46 PM UTC+2, Johannes Schönberger wrote:
Great!
Am 01.09.2013 um 17:53 schrieb Colin Lea <coli...@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...@sun.ac.za>:
>
> > On Sat, Aug 31, 2013 at 8:17 PM, Johannes Schönberger <js...@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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