release: scikit-image 0.12 is out!

[Emmanuelle Gouillart]

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:

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

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

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

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

> >     http://scikit-image.org

> >     and our example gallery

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

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

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

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

> >     pip install --upgrade scikit-image

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

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

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