release: scikit-image 0.12 is out!

[Emmanuelle Gouillart]

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

[Raphael Okoye]

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.

[Emmanuelle Gouillart]

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

[Emmanuelle Gouillart]

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

[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) .

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[Emmanuelle Gouillart]

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

[Raphael Okoye]

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?)

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