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
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/amue
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
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 lib
