[scikit-learn] wrapper for GraphCut or GridCut
t3kcit at gmail.com
Wed Oct 5 11:25:24 EDT 2016
On 10/05/2016 11:19 AM, Jiří Borovec wrote:
> 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.
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