[scikit-image] Memory consumption of measure.label (compared to matlab)

[Martin Fleck]

Oh one more small thing comes to my mind:

In the minimal example skimage code that I gave, I included two test
files: testImage.png and testImageTiny.png
The *Tiny.png strangely does not show the memory blowup at all. I don't
understand this behavior at all, but included anyway. Maybe it helps for
finding out more about the problem.

> FWIW, binary images are stored as ubyte, so 1 *byte* per pixel.

Sounds strange. Have to google about this. Thanks for the Info, anyway! :)


Cheers,
Martin



On 07/13/2017 08:26 PM, Stefan van der Walt wrote:
> On Thu, Jul 13, 2017, at 04:21, Martin Fleck wrote:
>>
>> Indeed, this could be the complete problem already! For the analysis
>> I use a binary image - so only one bit per pixel.
>>
>
> FWIW, binary images are stored as ubyte, so 1 *byte* per pixel.
>
>> Greg: Regarding your PR and my analysis: My analysis using a 1.2GB
>> file stops due to memory problems already in
>> skimage.morphology.remove_small_objects() even if the major memory
>> blowup happens with skimage.morphology.label().
>> So there are problems at multiple steps that hopefully can be improved.
>
> Thanks for helping us uncover and trace these!
>
> Stéfan
>
>
>
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