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0.18.x missing on github #5185

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sciunto opened this issue Jan 15, 2021 · 3 comments
Closed

0.18.x missing on github #5185

sciunto opened this issue Jan 15, 2021 · 3 comments

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@sciunto
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sciunto commented Jan 15, 2021

Description

See https://github.com/scikit-image/scikit-image/releases :)

@jni
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jni commented Jan 15, 2021

How does one fix this? 😂

@sciunto
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sciunto commented Jan 19, 2021

I pushed two "releases" on github, v0.18.0 and v0.18.1. For v0.18.1, the content is somehow duplicated, but I guess it is ok.

jni added a commit that referenced this issue Jan 19, 2021
Co-authored-by: Juan Nunez-Iglesias <juan.nunez-iglesias@monash.edu>
@jni
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jni commented Jan 19, 2021

Closed by #5187 + manual updates by @sciunto. Thanks @sciunto for the PR and pushing those releases!

@jni jni closed this as completed Jan 19, 2021
rfezzani added a commit that referenced this issue Jan 22, 2021
* resize using scipy.ndimage.zoom

* Clip negative values in output of RGB to HED conversion. Fixes #5164

* Fixed stain separation tests.

- Round trips start with stains, such that the roundtrip does not require
negative values.
- Using a blue+red+orange stain combination, the test previously used
a 2-stain combination that made it impossible to do a correct roundtrip.

* Improve IHC stain separation example.

* BENCH: add benchmarks for resize and rescale

* move mode conversion code to _shared.utils.py

use grid-constant and grid-wrap for SciPy >= 1.6.0

closes gh-5064

* separate grid mode conversion utility

* Update doc/examples/color_exposure/plot_ihc_color_separation.py

Improvement to the IHC example.

Co-authored-by: Riadh Fezzani <rfezzani@gmail.com>

* add TODO for removing legacy code paths

* avoid pep8 warning in benchmark_interpolation.py

* keep same ValueError on unrecognized modes

* test_rank.py: fetch reference data once into a dictionary of arrays (#5175)

This should avoid stochastic test failures that have been occuring on GitHub Actions

* Add normalized mutual information metric (#5158)

* Add normalized mutual information metric

* Add tests for NMI

* Add NMI to metrics init

* Fix error message for incorrect target shape

* Add 3D NMI test

* properly add nmi to metrics init

* _true, _test -> 0, 1

* ravel -> reshape(-1)

* Apply suggestions from @mkcor's code review

Co-authored-by: Marianne Corvellec <marianne.corvellec@ens-lyon.org>

* Fix warning and exception messages

Co-authored-by: Marianne Corvellec <marianne.corvellec@ens-lyon.org>

* segment Other section of TODO by date

based on NEP-29 24 month window for dropping upstream package version

* Fix bug in optical flow code and examples

mode 'nearest' is a scipy.ndimage mode, but warp only accepts the numpy.pad equivalent of 'edge'

* fix additional cases of warp with 'nearest'->'edge'

* DOC: Fixup to linspace in example (#5181)

Right now the data is not sampled every half degree. Also, -pi/2 to pi/2.

* Minor fixups to Hough line transform code and examples (#5182)

* Correction to linspace call in hough_line default

`theta = np.pi / 2 - np.arange(180) / 180.0 * np.pi` done correctly below.

* BUG: Fixup to image orientation in example

* DOC: Tiny typo

* Changed range to conform to documentation

The original was [pi/2, -pi/2), not [-pi/2, pi/2). Updated wording in docs.

* Fixed x-bounds of hough image in example

* Fixed long line

* Fixes to tests

Number of lines in checkerboard, longer line in peak ordering assertion, updated angle

* Accidentally modified the wrong value.

* Updated example to include three lines

As requested in review

* Fixed off-by one error in pixel bins in hough line transform (#5183)

* Added 1/2 pixel bounds to extent of displayed images (#5184)

* fast, non-Cython implementation for correlate_sparse (#5171)

* Replace correlate_sparse Cython version with a simple slicing-based variant in _mean_std

This slicing variant has two benefits:
1.) profiled 30-40% faster on 2d and 3d cases I tested with
2.) can immediately be used by other array backends such as CuPy

* remove intermediate padded_sq variable to reduce memory footprint

* Update skimage/filters/_sparse.py

remove duplicate declarations

Co-authored-by: Riadh Fezzani <rfezzani@gmail.com>

* move _to_np_mode and _to_ndimage_mode to _shared.utils.py

* add comment about corner_index needing to be present

* raise RuntimeError on missing corner index

* update code style based on reviewer comments

Co-authored-by: Riadh Fezzani <rfezzani@gmail.com>

* Add release step on github to RELEASE.txt (See #5185) (#5187)

Co-authored-by: Juan Nunez-Iglesias <juan.nunez-iglesias@monash.edu>

* Prevent integer overflow in EllipseModel (#5179)

* Change dtype of CircleModel and EllipseModel to float, to avoid integer overflows

* remove failing test and add code review notes

* Apply suggestions from code review

Co-authored-by: Stefan van der Walt <sjvdwalt@gmail.com>

* Remove unused pytest import

Co-authored-by: Stefan van der Walt <sjvdwalt@gmail.com>

Co-authored-by: Stefan van der Walt <sjvdwalt@gmail.com>
Co-authored-by: Juan Nunez-Iglesias <juan.nunez-iglesias@monash.edu>

* Add saturation parameter to color.label2rgb (#5156)

* Remove reference to opencv in threshold_local documentation (#5191)

Co-authored-by: Marianne Corvellec <marianne.corvellec@ens-lyon.org>
Co-authored-by: Riadh <r.fezzani@vitadx.com>

* resize using scipy.ndimage.zoom

* BENCH: add benchmarks for resize and rescale

* move mode conversion code to _shared.utils.py

use grid-constant and grid-wrap for SciPy >= 1.6.0

closes gh-5064

* separate grid mode conversion utility

* add TODO for removing legacy code paths

* avoid pep8 warning in benchmark_interpolation.py

* keep same ValueError on unrecognized modes

* segment Other section of TODO by date

based on NEP-29 24 month window for dropping upstream package version

* Fix bug in optical flow code and examples

mode 'nearest' is a scipy.ndimage mode, but warp only accepts the numpy.pad equivalent of 'edge'

* fix additional cases of warp with 'nearest'->'edge'

* Apply suggestions from code review

Co-authored-by: Riadh Fezzani <rfezzani@gmail.com>

Co-authored-by: Cris Luengo <cris.l.luengo@gmail.com>
Co-authored-by: Cris Luengo <crisluengo@users.noreply.github.com>
Co-authored-by: Riadh Fezzani <rfezzani@gmail.com>
Co-authored-by: Alexandre de Siqueira <alex.desiqueira@igdore.org>
Co-authored-by: Juan Nunez-Iglesias <juan.nunez-iglesias@monash.edu>
Co-authored-by: Marianne Corvellec <marianne.corvellec@ens-lyon.org>
Co-authored-by: Joseph Fox-Rabinovitz <madphysicist@users.noreply.github.com>
Co-authored-by: François Boulogne <fboulogne@sciunto.org>
Co-authored-by: Mark Boer <m.h.boer.2@gmail.com>
Co-authored-by: Stefan van der Walt <sjvdwalt@gmail.com>
Co-authored-by: Carlos Andrés Álvarez Restrepo <charlie_cha@outlook.com>
Co-authored-by: Riadh <r.fezzani@vitadx.com>
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