Hello,
for the regular graph and GridCut (
https://github.com/willemolding/gridcut-python), meaning regular grid like
image it would be better have it in skimage, but talking about general
graph, I would keep in sklearn.
I think that you already have a wrapper for GraphCut (
https://github.com/amueller/gco_python) even I found this (
https://github.com/yujiali/pygco) better one.

--
Best regards, Jiri Borovec
------------------------------------------------------------------------
Ing. Jiri Borovec, MSc  <[email protected]>
PhD student at CMP CTU, http://cmp.felk.cvut.cz/~borovji3

On 5 October 2016 at 17:08, Andreas Mueller <[email protected]> wrote:

> Hi Jiri.
> I think both are better suited for scikit-image.
> I think Emanuelle there is actually working on graph cut right now.
> I'd ask on the scikit-image mailing list what the current status is.
>
> Best,
> Andy
>
> On 10/05/2016 09:13 AM, Jiří Borovec wrote:
>
> Hello,
> I was thinking about adding GraphCut (http://www.csd.uwo.ca/~yuri/
> Papers/pami01.pdf) of GridCut (http://www.gridcut.com/) which both of
> them are already implemented in C/C++ a some of then have also wrapper in
> Python. What is the statement to this task, having GraphCut included in
> this library such that using thier C/C++ code and include wrappers.
>
> Thanks
> --
> Best regards, Jiri Borovec
> ------------------------------------------------------------------------
> Ing. Jiri Borovec, MSc  <[email protected]>
> PhD student at CMP CTU, http://cmp.felk.cvut.cz/~borovji3
>
>
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