Re: release: scikit-image 0.12 is out!

28 Apr 2016


      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:
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Hi Raphael,
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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".
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Cheers,
Emma
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On Wed, Apr 27, 2016 at 04:59:41PM -0700, Raphael Okoye wrote:
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hi Emmanuel,
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Â 
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Â I need help with installation of Â 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 ifÂ Â Â sudo apt-get build-dep python-
scikit-image Â Â Â  is the way to go or ifÂ 
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pip install --upgrade scikit-image do the necessary upgrade for me.Â Â  Any
guidance will be highly appreciated.Â 
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Thank you.
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On Monday, 7 March 2016 13:50:11 UTC-8, Emmanuelle Gouillart wrote:
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Announcement: scikit-image 0.12
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The scikit-image team is very pleased to announce the release of version
    0.12 of scikit-image.
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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.
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For more information, examples, and documentation, please visit our
    website:
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http://scikit-image.org
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and our example gallery
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http://scikit-image.org/docs/dev/auto_examples/
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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.
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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.
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The release can be downloaded on PyPi
    https://pypi.python.org/pypi/scikit-image or directly installed using pip
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pip install --upgrade scikit-image
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Please let us know any issues you might have on the issue tracker
    https://github.com/scikit-image/scikit-image/issues
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Many thanks to all the developers who made this release possible, and a
    warm welcome to our new contributors.
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Happy image processing!
    The scikit-image team