release: scikit-image 0.12 is out!

[Emmanuelle Gouillart]

not yet I'm afraid :-)
pip install will get you the latest version, so it should be 0.12.3

On Wed, Apr 27, 2016 at 11:51:16PM -0700, Raphael Okoye wrote:
> hi Emmanuelle,


> Â  hehehe...hope u have your coffee now..Thanks for the reply. So pip install
> --upgrade scikit-image will land me in which version? 0.12.0? On the
> announcements on the website http://scikit-image.org/ it seems that's the
> latest stable version (although the right top corner of the page says 0.12.3 is
> the latest) .

> On 27 April 2016 at 23:45, Emmanuelle Gouillart <emmanuelle.gouillart at nsup.org>
> wrote:

>     Sorry, I meant for 0.12. Morning answers before coffee are not reliable
>     :-)

>     On Thu, Apr 28, 2016 at 08:43:44AM +0200, Emmanuelle Gouillart wrote:
>     > Hi Raphael,

>     > I don't think we have an Ubuntu package yet for 0.11. The way to go would
>     > be to use pip, with "pip install --upgrade scikit-image".

>     > Cheers,
>     > Emma

>     > On Wed, Apr 27, 2016 at 04:59:41PM -0700, Raphael Okoye wrote:
>     > > hi Emmanuel,

>     > > Â 

>     > >  I need help with installation of  the latest version of scikit image
>     (the
>     > > version I have is 0.11.3 kindly find attached). I currently run Ubuntu
>     14.04
>     > > LTS and running python 3.4.3. I'm not sure if   sudo apt-get build-dep
>     python-
>     > > scikit-image     is the way to go or if 

>     > > pip install --upgrade scikit-image do the necessary upgrade for me.  
>     Any
>     > > guidance will be highly appreciated. 

>     > > Thank you.

>     > > On Monday, 7 March 2016 13:50:11 UTC-8, Emmanuelle Gouillart wrote:

>     > >Â  Â  Â Announcement: scikit-image 0.12
>     > >Â  Â  Â ===============================

>     > >Â  Â  Â The scikit-image team is very pleased to announce the release of
>     version
>     > >Â  Â  Â 0.12 of scikit-image.

>     > >Â  Â  Â scikit-image is an image processing toolbox for Python and SciPy,
>     that
>     > >Â  Â  Â includes algorithms for segmentation, geometric transformations,
>     color
>     > >Â  Â  Â space manipulation, analysis, filtering, morphology, feature
>     detection,
>     > >Â  Â  Â and more, for 2-D and 3-D (sometimes n-D) images.

>     > >Â  Â  Â For more information, examples, and documentation, please visit our
>     > >Â  Â  Â website:

>     > >Â  Â  Â http://scikit-image.org

>     > >Â  Â  Â and our example gallery

>     > >Â  Â  Â http://scikit-image.org/docs/dev/auto_examples/

>     > >Â  Â  Â This release includes new features such as image inpainting, seam
>     > >Â  Â  Â carving, image comparison metrics, and a parallelization framework
>     based
>     > >Â  Â  Â on dask. The release has also improved the support of 3-D images,
>     with
>     > >Â  Â  Â 3-D skeletonization, 3-D phantom data. and partial support of
>     > >Â  Â  Â measure.regionprops for 3-D images. Also note that the handling of
>     > >Â  Â  Â background pixels by measure.label, a function labeling connected
>     > >Â  Â  Â components, has changed to be consistent with scipy.ndimage.label.

>     > >Â  Â  Â For this release, we merged over 200 pull requests from 64
>     contributors,
>     > >Â  Â  Â with bug fixes, cleanups, improved documentation and new features.
>     > >Â  Â  Â Release notes are available on
>     > >Â  Â  Â http://scikit-image.org/docs/0.12.x/
>     release_notes_and_installation.html#
>     > >Â  Â  Â release-notes
>     > >Â  Â  Â and include a more detailed list of changes, and the complete list
>     of
>     > >Â  Â  Â contributors to this release.

>     > >Â  Â  Â The release can be downloaded on PyPi
>     > >Â  Â  Â https://pypi.python.org/pypi/scikit-image or directly installed
>     using pip

>     > >Â  Â  Â pip install --upgrade scikit-image

>     > >Â  Â  Â Please let us know any issues you might have on the issue tracker
>     > >Â  Â  Â https://github.com/scikit-image/scikit-image/issues

>     > >Â  Â  Â Many thanks to all the developers who made this release possible,
>     and a
>     > >Â  Â  Â warm welcome to our new contributors.

>     > >Â  Â  Â Happy image processing!
>     > >Â  Â  Â The scikit-image team