release: scikit-image 0.12 is out!

[Raphael Okoye]

hi Emmanuelle,


  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,
>
> > >
>
> > >  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
>
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