On Tue, Dec 27, 2011 at 8:29 AM, Nadav Horesh <nadavh.horesh@gmail.com> wrote:
How can I get it?

  Nadav

The code Stefan mentioned is in an old pull request (PR #16). That PR is from before the switch from scikits.image to skimage. I've made a new branch in my git repo with the convolution code in the new namespace.

If you're already running skimage from git, then you can use git to clone this branch:

git remote -f add tonysyu git@github.com:tonysyu/scikits-image.git
git checkout -b convolution tonysyu/skimage-convolution

In case this isn't familiar: The first line adds my git repo to your list of remotes, and the "-f" flag fetches the tags from my repo (this ensures that you have the info about my branches). My repo is now added to your repo as a remote with the name "tonysyu" (you can change this). The second line creates a new branch "convolution", clones my "skimage-convolution" branch into it, and checks it out.

Hope that helps,
-Tony


2011/12/23 Stéfan van der Walt <stefan@sun.ac.za>
On Thu, Dec 22, 2011 at 10:44 PM, Nadav Horesh <nadavh.horesh@gmail.com> wrote:
> The application is not too sophisticated, and I do use numpy, scipy and
> skimage for all I need. The only problem is speed, I need the processing to
> be at l5-10 time faster. Convolutions take most of the processing time. I
> prefer a flexible solution that would speed up also common nonlinear filters
> (i.e. a median filter).

We have a PR in the pipeline for doing really, really fast
convolutions... but it needs a bit of work.  Would you like to have a
look at it?

Stéfan