Re: release: scikit-image 0.12 is out!
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@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 ifÂ
> > pip install --upgrade scikit-image do the necessary upgrade for me.  Any > > guidance will be highly appreciated.Â
> > 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 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
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@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@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:
> > and our example gallery
> > 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
> > 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
-- You received this message because you are subscribed to a topic in the Google Groups "scikit-image" group. To unsubscribe from this topic, visit https://groups.google.com/d/topic/scikit-image/WmLXbbWdAew/unsubscribe. To unsubscribe from this group and all its topics, send an email to scikit-image+unsubscribe@googlegroups.com. To post to this group, send an email to scikit-image@googlegroups.com. To view this discussion on the web, visit https://groups.google.com/d/msgid/scikit-image/20160428065927.GA905027%40pha... . For more options, visit https://groups.google.com/d/optout.
participants (2)
-
Emmanuelle Gouillart -
Raphael Okoye