"Fossies" - the Fresh Open Source Software Archive  

Source code changes of the file "doc/release/release_0.19.rst" between
scikit-image-0.19.2.tar.gz and scikit-image-0.19.3.tar.gz

About: scikit-image is a collection of algorithms for image processing in Python.

release_0.19.rst  (scikit-image-0.19.2):release_0.19.rst  (scikit-image-0.19.3)
Announcement: scikit-image 0.19.3
=================================
We're happy to announce the release of scikit-image v0.19.3!
scikit-image is an image processing toolbox for SciPy that includes algorithms
for segmentation, geometric transformations, color space manipulation,
analysis, filtering, morphology, feature detection, and more.
For more information, examples, and documentation, please visit our website:
https://scikit-image.org
Bugs Fixed
----------
- Revert unintentional change to default multichannel behavior introduced in v0.
19.0 for ``skimage.restoration.cycle_spin`` (now defaults to single channel agai
n)
- Fix corner case with an optimal angle of 0 degrees in hough_line_peaks
- Fixed the gallery example involving registration with log-polar transformation
s
- Update test suite for compatibility with the most recent ``tifffile`` release.
- warp/rotate: fixed a bug with clipping when cval is not in the input range
- Fix computation of histogram bins for multichannel integer-valued images
General Maintenance
-------------------
- Update ``skimage.future.manual_polygon_segmentation`` to work with Matplotlib
3.5.
- Update ``skimage.io.imread`` to avoid warnings when using ``imageio``>=2.16.2.
- Now compatible with Pillow >= 9.1 (palette may contain <256 entries)
- Added support for NumPy 1.23
Pull Requests Included
----------------------
- Backport PR #6306 on branch v0.19.x (Fix for error in 'Using Polar and Log-Pol
ar Transformations for Registration') (#6312)
- Backport PR #6271 on branch v0.19.x (hough_line_peaks fix for corner case with
optimal angle=0) (#6313)
- Backport PR #6261 on branch v0.19.x (Ignore sparse matrix deprecation warning)
(#6316)
- backport PR 6328: Fix issue with newer versions of matplotlib in manual segmen
tation (#6334)
- Backport PR #6343 on branch v0.19.x (avoid warnings about change to v3 API fro
m imageio) (#6344)
- Backport PR #6355 on branch v0.19.x (remove use of deprecated kwargs from `tes
t_tifffile_kwarg_passthrough`) (#6357)
- Backport PR #6352 on branch v0.19.x (Fix channel_axis default for cycle_spin)
(#6358)
- Backport PR #6348 on branch v0.19.x (Fix smoothed image computation when mask
is None in canny) (#6359)
- Backport PR #6361 on branch v0.19.x (Document support for Path objects in io f
unctions) (#6363)
- Backport PR #6400 on branch v0.19.x (Add support for NumPy 1.23) (#6403)
- Backport PR #6335 on branch v0.19.x (warp/rotate: fixed a bug with clipping wh
en cval is not in the input range) (#6411)
- Backport PR #6413 on branch v0.19.x (Fix computation of histogram bins for mul
tichannel integer-valued images) (#6414)
10 authors added to this release [alphabetical by first name or login]
----------------------------------------------------------------------
- Albert Y. Shih
- Bartłomiej Śmietanka
- Dave Mellert
- Gregory Lee
- Graham Inggs
- Jarrod Millman
- John Hagen
- Mark Harfouche
- Riadh Fezzani
- Stefan van der Walt
7 reviewers added to this release [alphabetical by first name or login]
-----------------------------------------------------------------------
- Alexandre de Siqueira
- Gregory Lee
- Jarrod Millman
- Juan Nunez-Iglesias
- Lars Grüter
- Mark Harfouche
- Riadh Fezzani
scikit-image 0.19.2 scikit-image 0.19.2
=================== ===================
We're happy to announce the release of scikit-image v0.19.2! This is primarily We're happy to announce the release of scikit-image v0.19.2! This is primarily
a bug fix release, although there is one new gallery example related to a bug fix release, although there is one new gallery example related to
detection of fluorescence at the nuclear envelope of mammalian cells. detection of fluorescence at the nuclear envelope of mammalian cells.
scikit-image is an image processing toolbox for SciPy that includes algorithms scikit-image is an image processing toolbox for SciPy that includes algorithms
for segmentation, geometric transformations, color space manipulation, for segmentation, geometric transformations, color space manipulation,
analysis, filtering, morphology, feature detection, and more. analysis, filtering, morphology, feature detection, and more.
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