We're happy to announce the release of scikit-image 0.21.0! 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
Add support for y-dimensional shear to the AffineTransform (#6752).
API Changes
In this release, we unify the way seeds are specified for algorithms that make use of pseudo-random numbers. Before, various keyword arguments (sample_seed, seed, random_seed, and random_state) served the same purpose in different places. These have all been replaced with a single rng argument, that handles both integer seeds and NumPy Generators. Please see the related SciPy discussion, as well as Scientific Python SPEC 7 that attempts to summarize the argument.
Unify API on seed keyword for random seeds / generator (#6258).
Refactor _invariant_denoise to denoise_invariant (#6660).
Expose color.get_xyz_coords in public API (#6696).
Make join_segmentations return array maps from output to input labels (#6786).
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Bumps scikit-image from 0.20.0 to 0.21.0.
Release notes
Sourced from scikit-image's releases.
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Commits
49a9854
Designate 0.21 release872b787
Add missing PRs to release notes (#6949)ea2757c
Add lazy loading to skimage.future module (#6981)e913dd4
Remove temporary constraint <2.28 for imageio (#6980)8dec5c6
Add PR milestone labeler (#6977)11c8431
Fix sparse index type casting inskimage.graph._ncut
(#6975)dc9c0fe
Add lazy loading to skimage.exposure (#6978)eb8e1f9
Ignore tight layout warning from matplotlib pre-release (#6976)05c896c
Don't test numpy nightlies until the transcendental functions issues is (#6973)0c17a8f
Add lazy loading to skimage.draw submodule (#6971)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase
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