[scikit-learn] wrapper for GraphCut or GridCut

[Andreas Mueller]

On 10/05/2016 11:19 AM, Jiří Borovec wrote:
> 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 disagree. Why would it be in scikit-learn? It's not a learning 
algorithm. It doesn't have the same interface at all.
It does something pretty unrelated to machine learning. And in vision, 
you often have other graphs if you work with superpixels.
> 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.
>
Cool. I did the minimal port for what I needed at the time. Since I was 
mostly interested in learning, I switched to using QPBO.

Andy
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20161005/5c8c58f0/attachment.html>