release: scikit-image 0.12 is out!

Raphael Okoye raphael at aims.ac.za
Thu Apr 28 03:51:19 EDT 2016


do I need  upgrade cython before proceeding to upgrade scikit image?
something along the lines of pip install cython --upgrade --user or pip3
install cython --upgrade --user (pip3 since I'm using python 3.4.3?)

On 27 April 2016 at 23:59, Emmanuelle Gouillart <
emmanuelle.gouillart at nsup.org> wrote:

> 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,
>
>
> >   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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