Update dependency scikit-image to v0.25.2

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
scikit-image	==0.17.2 -> ==0.25.2

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Release Notes

scikit-image/scikit-image (scikit-image)

v0.25.2

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scikit-image 0.25.2

We're happy to announce the release of scikit-image 0.25.2!

Bug Fixes

• Handle random degenerate case in skimage.graph.cut_normalized gracefully (#​7675).
• In skimage.feature.BRIEF, copy keypoints if necessary to preserve contiguity (#​7692).
• Revert a previous fix to skimage.segmentation.watershed that unintentionally changed the algorithm's behavior for markers placed at maxima in the image. We decided that the behavior originally reported as a bug (gh-6632), is not actually one (#​7702).

Documentation

• Improve docstring of skimage.restoration.rolling_ball (#​7682).

Infrastructure

• Only run the job if the PR got merged (vs merely closed) (#​7679).
• Fix typo in GH workflow (#​7681).
• Refactor GitHub's CI config and helper scripts (#​7672).
• Use pytest config in pyproject.toml in CI (#​7555).
• Lower CI build verbosity (#​7688).
• Port testing on Windows from Azure CI to GitHub's CI (#​7687).
• CI cleanup (#​7693).
• Simultaneously resolve all dependencies; add pip caching (#​7690).
• Reenable graph reproducibility test (#​7694).
• Give milestone labeler necessary permissions (#​7695).
• Milestone labeler permission not needed (#​7696).
• Fix 313t wheel build (#​7699).

Maintenance

• Include a missing image in meson.build so they are included in the wheel (#​7660).
• Add zizmor to pre-commit; address GH workflow issues raised (#​7662).

Contributors

6 authors added to this release (alphabetically):

• Jarrod Millman (@​jarrodmillman)
• Lars Grüter (@​lagru)
• Marianne Corvellec (@​mkcor)
• Matthew Brett (@​matthew-brett)
• Orion Poplawski (@​opoplawski)
• Stefan van der Walt (@​stefanv)

8 reviewers added to this release (alphabetically):

• Jarrod Millman (@​jarrodmillman)
• Juan Nunez-Iglesias (@​jni)
• Lars Grüter (@​lagru)
• Marianne Corvellec (@​mkcor)
• Mark Harfouche (@​hmaarrfk)
• Matthew Brett (@​matthew-brett)
• Ralf Gommers (@​rgommers)
• Stefan van der Walt (@​stefanv)

These lists are automatically generated, and may not be complete or may contain duplicates.

v0.25.1

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scikit-image 0.25.1

We're happy to announce the release of scikit-image 0.25.1!

Bug Fixes

• Include centroid in __all__ of the PYI file in skimage.measure (#​7652).
• Improve numerical stability of blur_effect (#​7643).
• Because under-determined fits are unreliable, skimage.measure.EllipseModel will now warn and return False (no fit) when fewer than 5 data points are provided (#​7648).
• Explicitly upcast data with dtype float16 to float32 in skimage.segmentation.random_walker; this fixes passing float16 on NumPy 1.26 (#​7655).

Documentation

• Don't use removed QuadContourSet.collections in gallery example (#​7638).
• Change old import convention in the gallery examples (#​7630).

Infrastructure

• Make apigen.py work with editable hooks (#​7647).
• Build Linux ARM wheels natively (#​7664).

Maintenance

• Infer floating point type for sigma parameter (#​7637).
• In skimage.segmentation.active_contour, change the type of the default argument for w_line to indicate it is a float (#​7645).
• Temporarily disable parallel building of gallery (#​7656).
• [pre-commit.ci] pre-commit autoupdate (#​7649).
• Skip flaky test on azure (#​7669).

Contributors

8 authors added to this release (alphabetically):

• @​michaelbratsch
• @​scrimpys
• Jarrod Millman (@​jarrodmillman)
• Jigyasu (@​jgyasu)
• kwikwag (@​kwikwag)
• Lars Grüter (@​lagru)
• Marianne Corvellec (@​mkcor)
• Stefan van der Walt (@​stefanv)

8 reviewers added to this release (alphabetically):

• @​michaelbratsch
• Dan Schult (@​dschult)
• Jarrod Millman (@​jarrodmillman)
• Jigyasu (@​jgyasu)
• Lars Grüter (@​lagru)
• Marianne Corvellec (@​mkcor)
• Ruth Comer (@​rcomer)
• Stefan van der Walt (@​stefanv)

These lists are automatically generated, and may not be complete or may contain duplicates.

v0.25.0

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scikit-image 0.25.0

We're happy to announce the release of scikit-image 0.25.0!

New Features

• Add the new Gray-Level Co-occurrence Matrix (GLCM) properties "mean", "variance", "standard deviation" and "entropy" to skimage.feature.texture.graycoprops (#​7375).
• Add the new skimage.morphology.footprint_rectangle supporting generation of rectangular or hyper-rectangular footprints in one function (#​7566).

API Changes

• Complete the deprecation of and remove skimage.feature.plot_matches. Use skimage.feature.plot_matched_features going forward (#​7487).
• Deprecate skimage.io.imshow, skimage.io.imshow_collection and skimage.io.show. Please use matplotlib, napari, etc. to visualize images (#​7508).
• Remove deprecated skimage.morphology.skeletonize_3d; use skimage.morphology.skeletonize instead (#​7572).
• Deprecate skimage.io plugin infrastructure (#​7353).
• Switched to using the scipy.sparse array interface. For more details, see the note about the new scipy.sparse array interface here (#​7576).
• Deprecate skimage.morphology.rectangle in favor of the new function skimage.morphology.footprint_rectangle (#​7566).
• Deprecate skimage.morphology.square in favor of the new function skimage.morphology.footprint_rectangle (#​7566).
• Deprecate skimage.morphology.cube in favor of the new function skimage.morphology.footprint_rectangle (#​7566).

Enhancements

• Improve numerical stability of skimage.morphology.local_minima for extremely small floats (#​7534).
• Make sure that skimage.feature.plot_matched_features uses the same random colors, if matches_color isn't provided explicitly (#​7541).
• Allow passing a sequence of colors to the parameter matches_color in skimage.feature.plot_matched_features (#​7541).

Performance

• skimage.feature.peak_local_max will now skip unnecessary distance computations in the case of min_distance=1. This results in performance improvements to functions like skimage.feature.blob_dog, skimage.feature.blob_log, skimage.feature.blob_doh and skimage.feature.corner_peaks that call peak_local_max internally (#​7548).
• In skimage.featurepeak_local_max, skip unnecessary check for cases where min_distance > 1 is passed (#​7548).

Bug Fixes

• Ensure that skimage.morphology.remove_objects_by_distance doesn't fail if the given integer dtype cannot be safely cast to the architecture specific size of intp, e.g. on i386 architectures (#​7453).
• Fix degeneracy in skimage.draw.ellipsoid_stats when all semi-axes have the same length (#​7473).
• Prevent skimage.morphology.thin from accidentally modifying the input image in case it is of dtype uint8 (#​7469).
• Fix numerical precision error in skimage.measure.ransac. In some cases, ransac was stopping at the first iteration (#​7065).
• Fix numerical precision error in skimage.measure.ransac; very small probabilities lead to -0 number of max trials (#​7496).
• Ensure that RegionProperties objects returned by skimage.measure.regionprops can be deserialized with pickle (#​7569).
• Fix edge case where setting watershed_lines=True in skimage.segmentation.watershed resulted in an incorrect solution (#​7071).
• Fix the behavior of skimage.segmentation.watershed when the markers don't align with local minima by making sure every marker is evaluated before successive pixels (#​7071).
• Fix dtype promotion in skimage.segmentation.join_segmentations if numpy.uint is used with NumPy<2 (#​7292).

Documentation

• In skimage.morphology.skeletonize, clarify the expected image dtypes and how objects of different intensities are handled (#​7456).
• Fix example section in docstring of skimage.feature.graycomatrix (#​7297).
• Use conda-forge consistently in instructions for setting up the development environment (#​7483).
• Use new CITATION.cff instead of CITATION.bib (#​7505).
• Use correct spin test --coverage in contribution guide (#​7515).
• Tweak advice to new developers; remove AI warning (#​7522).
• Rework installation instructions (#​7434).
• Improve the description of the image parameter in skimage.restoration.richardson_lucy (#​7477).
• Account for empty arrays when counting segments per contour level in gallery example "Segment human cells (in mitosis)" (#​7551).
• Fix typo in morphology doc (#​7606).
• Change type description of parameter radius in skimage.morphology.ball from int to float (#​7627).

Infrastructure

• Fix CI tests with minimal dependencies and make dependency resolution more robust (#​7462).
• Add CI to test scikit-image against free-threaded Python 3.13 (#​7463).
• Address autosummary.import_cycle warning (#​7486).
• Temporarily exclude Dask 2024.8.0 to fix CI (#​7493).
• Uncomment currentmodule directive again (#​7492).
• Add CI to release nightly free-threaded wheels (#​7481).
• Update deprecated configuration (#​7501).
• Bump spin version to 0.11 (#​7507).
• Ensure only a single type: label is present in PRs (#​7512).
• Update pydata-sphinx-theme (#​7511).
• Fix OpenBLAS s_cmp unresolved symbol error, update Emscripten CI testing (#​7525).
• Render paragraphs in dormant message (#​7549).
• Build sphinx documentation with parallel jobs (#​7579).
• Don't check test coverage in CI (#​7594).
• Explicitly setup conda on macos for wheel building (#​7608).

Maintenance

• Verify all artifacts that have been attested by looping over them in CI (#​7447).
• Update circleci-artifacts-redirector-action that moved to the Scientific Python org (#​7446).
• Use NumPy 2.0 stable to build packages (#​7451).
• FIX Use python3 in Meson version script shebang (#​7482).
• Refactored tests for skeletonize (#​7459).
• Remove unused and deprecated dependency pytest-runner (#​7495).
• Exclude imageio 2.35.0 that forces numpy downgrade (#​7502).
• Don't test thresholding funcs for Dask compatibility (#​7509).
• Fix build dependency (#​7510).
• Add sdist check to spin sdist (#​7438).
• Reorder items in TODO list (#​7519).
• Use Rotation.from_euler to compute 3D rotation matrix (#​7503).
• Update spin (0.12) (#​7532).
• Import lazy_loader as private symbol in top-level namespaces (#​7540).
• Set -DNPY_NO_DEPRECATED_API=NPY_1_23_API_VERSION on build (#​7538).
• Update up/download artifact version (#​7545).
• Don't use deprecated io.show and io.imshow (#​7556).
• Hide traceback inside assert_stacklevel (#​7558).
• Update pre-commit versions (#​7560).
• Drop Python 3.9 support (#​7561).
• Update minimum dependencies (SPEC 0) (#​7562).
• Remove unused PYX files in io/_plugins (#​7557).
• Support Python 3.13 (#​7565).
• During deprecation cycles, preserve the value of deprecated parameters that don't have a new parameter as a replacement (#​7552).
• Fix missing minigalleries by using full names in directives (#​7567).
• Build Python 3.13 wheels (#​7571).
• Update TODO (#​7573).
• Remove deprecated gaussian output parameter (#​7574).
• Test Py3.13 on windows (#​7578).
• Update ruff linter / formatter (#​7580).
• Fix formatting issues (#​7581).
• CI: bump macos image pin from 12 to 13 (#​7582).
• Update build dependencies (#​7587).
• Update minimum supported pyamg (#​7586).
• Update documentation dependencies (#​7590).
• Bump changelist to v0.5 (#​7601).
• Pin kaleido to 0.2.1 (#​7612).
• Update upload-nightly-action (#​7609).
• Update pillow (#​7615).
• Remove Python 2.7 cruft (#​7616).
• Use intersphinx_registry package in conf.py to keep intersphinx urls up to date. This means that building docs now requires the intersphinx-registry package (#​7611).
• Update build dependencies (#​7614).
• Update file extension and reformat Markdown file (#​7617).
• Add forgotten TODO about deprecated square, cube & rectangle (#​7624).
• Upgrade to spin 0.13 (#​7622).
• Lazy load legacy imports in skimage top module (#​6892).
• CI pre-commit fix (#​7631).

Contributors

30 authors added to this release (alphabetically):

• @​aeisenbarth
• @​FedericoWZhaw
• @​jakirkham
• @​michaelbratsch
• Adeyemi Biola (@​decorouz)
• Aditi Juneja (@​Schefflera-Arboricola)
• Agriya Khetarpal (@​agriyakhetarpal)
• Brigitta Sipőcz (@​bsipocz)
• Dan Schult (@​dschult)
• Edgar Andrés Margffoy Tuay (@​andfoy)
• Egor Panfilov (@​soupault)
• Erik Welch (@​eriknw)
• Gianluca (@​geeanlooca)
• Gregory Lee (@​grlee77)
• Hayato Ikoma (@​hayatoikoma)
• Henrik Finsberg (@​finsberg)
• Jarrod Millman (@​jarrodmillman)
• Jordão Bragantini (@​JoOkuma)
• João Seródio (@​SerodioJ)
• Kushaan Gupta (@​kushaangupta)
• Lars Grüter (@​lagru)
• Loïc Estève (@​lesteve)
• M Bussonnier (@​Carreau)
• Marianne Corvellec (@​mkcor)
• Mark Harfouche (@​hmaarrfk)
• Matthew Feickert (@​matthewfeickert)
• Paritosh Dahiya (@​hnhparitosh)
• Piyush Amitabh (@​pamitabh)
• Ricky Walsh (@​rickymwalsh)
• Stefan van der Walt (@​stefanv)

25 reviewers added to this release (alphabetically):

• @​aeisenbarth
• @​FedericoWZhaw
• @​jakirkham
• @​michaelbratsch
• Agriya Khetarpal (@​agriyakhetarpal)
• Brigitta Sipőcz (@​bsipocz)
• Dan Schult (@​dschult)
• Edgar Andrés Margffoy Tuay (@​andfoy)
• Egor Panfilov (@​soupault)
• Gianluca (@​geeanlooca)
• Gregory Lee (@​grlee77)
• Hayato Ikoma (@​hayatoikoma)
• Jarrod Millman (@​jarrodmillman)
• Jordão Bragantini (@​JoOkuma)
• João Seródio (@​SerodioJ)
• Juan Nunez-Iglesias (@​jni)
• Kushaan Gupta (@​kushaangupta)
• Lars Grüter (@​lagru)
• Marianne Corvellec (@​mkcor)
• Mark Harfouche (@​hmaarrfk)
• Matthew Feickert (@​matthewfeickert)
• Nathan Goldbaum (@​ngoldbaum)
• Piyush Amitabh (@​pamitabh)
• Ralf Gommers (@​rgommers)
• Stefan van der Walt (@​stefanv)

These lists are automatically generated, and may not be complete or may contain duplicates.

v0.24.0

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scikit-image 0.24.0

We're happy to announce the release of scikit-image 0.24.0!

Highlights

• Add new class skimage.transform.ThinPlateSplineTransform, which can estimate and model non-linear transforms with thin-plate splines and allows image warping with skimage.transform.warp (#​7040).

New Features

• Add new class skimage.transform.ThinPlateSplineTransform, which can estimate and model non-linear transforms with thin-plate splines and allows image warping with skimage.transform.warp (#​7040).
• Add skimage.morphology.remove_objects_by_distance, which removes labeled objects, ordered by size (default), until the remaining objects are a given distance apart (#​4165).

Performance

• In skimage.feature.corner_fast, test four directions earlier, which should more than half the computation time for most cases (#​7394).

Documentation

• Remove obsolete instruction about documenting changes (#​7321).
• Clarify description of data_range parameter in skimage.metrics.structural_similarity (#​7345).
• Update release process notes (#​7402).
• Fix typo in docstring of skimage.measure.regionprops (#​7405).
• Fix typos in skimage.measure.find_contours (#​7411).
• Add algorithmic complexity description + suggested alternatives to skimage.restoration.rolling_ball docstring (#​7424).
• Remove ineffective PR contribution clause (#​7429).
• Clarify objection period for lazy consensus in SKIP 1 (#​7020).
• Add a new gallery example "Use thin-plate splines for image warping" (#​7040).
• Add a new gallery example on "Removing objects" based on their size or distance (#​4165).

Infrastructure

• Escape user-controlled variables in GA workflow (#​7415).
• Add generation of GitHub artifact attestations to built sdist and wheels before upload to PyPI (#​7427).
• For publishing actions use the full length commit SHA (#​7433).
• Be mindful of resources by canceling in-progress workflows (#​7436).
• Add out-of-tree Pyodide builds in CI for scikit-image (#​7350).

Maintenance

• Replace deprecated nose style setup/teardown with autouse fixtures (#​7343).
• Temporarily pin macos-12 runner in CI (#​7408).
• Fix NumPy2 dtype promotion issues in pywt dependent code (#​7414).
• In skimage.util.compare_images, deprecate the parameter image2. Instead use image0, image1 to pass the compared images. Furthermore, all other parameters will be turned into keyword-only parameters once the deprecation is complete (#​7322).
• Add support back for Python 3.9 to enhance compatibility with Numpy 2 (#​7412).
• Disable ruff/pyupgrade rule UP038 (#​7430).
• Stop verifying wheel attestations temporarily (#​7444).

Contributors

13 authors added to this release (alphabetically):

• Adeyemi Biola (@​decorouz)
• Agriya Khetarpal (@​agriyakhetarpal)
• Ananya Srivastava (@​ana42742)
• Curtis Rueden (@​ctrueden)
• Jarrod Millman (@​jarrodmillman)
• Juan Nunez-Iglesias (@​jni)
• Lars Grüter (@​lagru)
• Marianne Corvellec (@​mkcor)
• Mark Harfouche (@​hmaarrfk)
• Matthew Feickert (@​matthewfeickert)
• Pang (@​lartpang)
• Stefan van der Walt (@​stefanv)
• 武士风度的牛 (@​spdfghi)

15 reviewers added to this release (alphabetically):

• Adeyemi Biola (@​decorouz)
• Agriya Khetarpal (@​agriyakhetarpal)
• Curtis Rueden (@​ctrueden)
• Egor Panfilov (@​soupault)
• Jarrod Millman (@​jarrodmillman)
• Juan Nunez-Iglesias (@​jni)
• Lars Grüter (@​lagru)
• Marianne Corvellec (@​mkcor)
• Mark Harfouche (@​hmaarrfk)
• Matthew Feickert (@​matthewfeickert)
• Ralf Gommers (@​rgommers)
• Riadh Fezzani (@​rfezzani)
• Sebastian Berg (@​seberg)
• Stefan van der Walt (@​stefanv)
• Tyler Reddy (@​tylerjereddy)

These lists are automatically generated, and may not be complete or may contain duplicates.

v0.23.2

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scikit-image 0.23.2

We're happy to announce the release of scikit-image 0.23.2!

Bug Fixes

• Make sure skimage.util.img_as_ubyte supports the edge case where dtype('uint64').type of the provided image is np.ulonglong instead of np.uint64 (#​7392).

Documentation

• Add date to 0.23.1 release notes (#​7384).
• Fix docstring of connectivity parameter in skimage.segmentation.watershed (#​7360).

Infrastructure

• Ignore Sphinx warning about unpickable cache (#​7400).
• Simplify instructions on changelist in PR template (#​7401).

Maintenance

• Use numpy.inf instead of deprecated numpy.infty (#​7386).
• Update Ruff config (#​7387).
• Update matrix and names of Azure pipelines configuration (#​7390).
• Use upload- and download-artifact v4 (#​7389).
• Ignore arch specific cast warnings originating from astype in tests (#​7393).
• Update link to numpydoc example.py (#​7395).

Contributors

4 authors added to this release (alphabetically):

• @​pitkajuh
• Jarrod Millman (@​jarrodmillman)
• Lars Grüter (@​lagru)
• Marianne Corvellec (@​mkcor)

4 reviewers added to this release (alphabetically):

• Egor Panfilov (@​soupault)
• Jarrod Millman (@​jarrodmillman)
• Lars Grüter (@​lagru)
• Marianne Corvellec (@​mkcor)

These lists are automatically generated, and may not be complete or may contain duplicates.

v0.23.1

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scikit-image 0.23.1

We're happy to announce the release of scikit-image 0.23.1!

[!NOTE]
Due to an issue with the CI system scikit-image 0.23.0 was never released.
This release is identical to what 0.23.0 would have been other than the CI fix and the version number.

Highlights

• Ensure skimage.morphology.closing and skimage.morphology.opening are extensive and anti-extensive, respectively, if the footprint is not mirror symmetric (#​6695).
• Add parameter mode to binary_erosion, binary_dilation, binary_opening and binary_closing in skimage.morphology. These new parameters determine how array borders are handled (#​6695).
• Add parameters mode and cval to erosion, dilation, opening, closing, white_tophat, and black_tophat in skimage.morphology. These new parameters determine how array borders are handled (#​6695).
• Speedup skimage.util.map_array by parallelization with Cython's prange (#​7266).

New Features

• Add new intensity_std property to skimage.measure.regionprops which computes the standard deviation of the intensity in a region (#​6712).
• Add parameter mode to binary_erosion, binary_dilation, binary_opening and binary_closing in skimage.morphology. These new parameters determine how array borders are handled (#​6695).
• Add functions mirror_footprint and pad_footprint to skimage.morphology (#​6695).
• Add parameters mode and cval to erosion, dilation, opening, closing, white_tophat, and black_tophat in skimage.morphology. These new parameters determine how array borders are handled (#​6695).
• Add new parameter spacing to segmentation.expand_labels to support anisotropic images (#​7080).

API Changes

• Drop support for Python 3.9 (#​7217).
• Parameters shift_x and shift_y in skimage.morphology.erosion and skimage.morphology.dilation are deprecated. Use pad_footprint or modify the footprint manually instead (#​6695).
• Remove unexpected value scaling in skimage.morphology.skeletonize_3d for non-binary input images. skeletonize_3d now always returns a binary array like similar functions (#​7095).
• Deprecate function skimage.feature.plot_matches in favor of skimage.feature.plot_matched_features (#​7255).
• Deprecate skimage.morphology.skeletonize_3d in favor of just skimage.morphology.skeletonize (#​7094).
• Deprecate parameter output in skimage.filters.gaussian; use out instead (#​7225).
• Change the default value of the parameters shift_x, shift_y and shift_z from False to 0 in the skimage.filters.rank functions. This has not impact on the results. Warn in case boolean shifts are provided from now on (#​7320).

Performance

• Add lazy loading to skimage.metrics module (#​7211).
• Speedup skimage.util.map_array by parallelization with Cython's prange (#​7266).

Bug Fixes

• Add exception to avoid surprising result when image is too small for the given parameters in skimage.feature.hog (#​7153).
• Ensure skimage.morphology.closing and skimage.morphology.opening are extensive and anti-extensive, respectively, if the footprint is not mirror symmetric (#​6695).
• Avoid a TypeError in skimage.registration.phase_cross_correlation when the real-time shift cannot be determined (disambiguate=True). Display a warning instead (#​7259).
• Fix logic in skimage.graph.pixel_graph which raised a TypeError when the parameter edge_function was provided without a mask (#​7310).
• Ensure cache stays empty when cache=False is passed to skimage.measure.regionprops (#​7333).

Documentation

• Update instructions for updating dev environment (#​7160).
• Make titles in RAG gallery examples more explicit (#​7202).
• Add docstring to skimage.graph module (#​7192).
• Use consistent notation for array dimensions in the docstrings (#​3031).
• Specify default markers in watershed docstring (#​7154).
• Stop HTML documentation from intercepting left and right-arrow keys to improve keyboard accessibility (#​7226).
• Fix reference formatting for nitpicky sphinx (#​7228).
• Document how to deal with other array-likes such as xarray.DataArray and pandas.DataFrame in the crash course on NumPy for images (#​7159).
• Fix broken function calls and syntax issues in user guide (#​7234).
• Use correct default mode in docstring of skimage.transform.swirl (#​7241).
• Add missing documentation about spacing parameter in moments_normalized (#​7248).
• Update docstring & example in the hough_ellipse transform (#​6893).
• Point binder tag/branch to commit corresponding to docs/release (#​7252).
• Add example to FundamentalMatrixTransform class (#​6863).
• Adds explanation of what the optional dependency on Matplotlib offers to the install instructions (#​7286).
• Use correct symbol θ for tightness in the docstring of skimage.registration.optical_flow_tvl1 (#​7314).
• The description of the parameter cval is modified in "int or float". cval is a numerical value not a string (#​7319).
• Remove obsolete instruction about documenting changes (#​7321).
• Added comment to clarify that dt corresponds to tau, i.e. the time step. Changed gray scale in grayscale in the entire registration module (#​7324).
• Create SECURITY.md (#​7230).
• Remove deprecated parameter coordinates from docstring example of skimage.segmentation.active_contour (#​7329).
• Include dates in release note headings (#​7269).
• Update description of how to document pull requests for inclusion in the release notes (#​7267).
• Clarify description of data_range parameter in skimage.metrics.structural_similarity (#​7345).
• Use object-oriented Matplotlib style in longer gallery examples and demonstrations (doc/examples/applications) (#​7346).
• In the gallery example on segmenting human cells (in mitosis), include the border when generating basin markers for watershed (#​7362).
• Add missing minus sign in docstring of skimage.transform.EuclideanTransform (#​7097).

Infrastructure

• Update wording on the stale bot to assume the core team dropped the ball (#​7196).
• Update Azure job name following the drop of Python 3.9 (#​7218).
• Schedule nightly wheel builds at uncommon time (#​7254).
• Build nightly wheels with nightly NumPy 2.0 (#​7251).
• Use pytest-doctestplus instead of classic pytest-doctest (#​7289).
• Update the scientific-python/upload-nightly-action to v0.5.0 for dependency stability and to take advantage of Anaconda Cloud upload bug fixes (#​7325).
• Add assert_stacklevel helper to check stacklevel of captured warnings (#​7294).
• Exclude pre-commit[bot] from changelist's contributor list (#​7358).

Maintenance

• Remove outdated & duplicate "preferred" field in version_switcher.json (#​7184).
• Upgrade to spin 0.7 (#​7168).
• Do not compare types, use isinstance (#​7186).
• [pre-commit.ci] pre-commit autoupdate (#​7181).
• Increase tolerance for moments test for 32 bit floats (#​7188).
• Temporarily pin Cython to <3.0.3 until CI is fixed (#​7189).
• Remove obsolete meson instructions (#​7193).
• Temporarily pin Cython to <3.0.3 until CI is fixed, take 2 (#​7201).
• Fix chocolatey (#​7200).
• Pin Pillow to <10.1.0 until incompatibility with imageio is fixed (#​7208).
• Use Black (#​7197).
• Apply black to _hog.py after previous merge lacking black (#​7215).
• Unpin Cython after release of Cython 3.0.4 (#​7214).
• [pre-commit.ci] pre-commit autoupdate (#​7236).
• Cleanup for Python 3.12 (#​7173).
• Make Python 3.12 default CI Python (#​7244).
• Add explicit noexcept to address Cython 3.0 warnings (#​7250).
• Update imageio to fix Pillow incompatibility (#​7245).
• Upgrade docker/setup-qemu-action to v3 (#​7134).
• Fix warningfilter for deprecation in SciPy 1.12.0rc1 (#​7275).
• Update to numpy>=1.23 and matplotlib>=3.6 according to SPEC 0 (#​7284).
• Add new deprecate_parameter helper (#​7256).
• Update meson and Cython (#​7283).
• Handle floating point warning for empty images in skimage.registration.phase_cross_correlation (#​7287).
• Update spin (0.8) (#​7285).
• Complete deprecations that were scheduled for our 0.23 release. Remove now unused deprecate_kwarg and remove_arg; they are entirely succeeded by deprecate_parameter (#​7290).
• For security best practices, use the scientific-python/upload-nightly-action GitHub Action from known commit shas that correspond to tagged releases. These can be updated automatically via Dependabot (#​7306).
• Update pre-commits repos (#​7303).
• The test suite can now be run without numpydoc installed (#​7307).
• Deal with parallel write warning from Pydata theme (#​7311).
• Test nightly wheel build with NumPy 2.0 (#​7288).
• Make it clear that funcs in _optical_flow_utils are private (#​7328).
• Update dependencies (spec 0) (#​7335).
• Follow-up cleaning & fixes for compatibility with NumPy 1 & 2 (#​7326).
• Replace ignored teardown with autouse fixture in test_fits.py (#​7340).
• Address new copy semantics & broadcasting in np.solve in NumPy 2 (#​7341).
• Ignore table of execution times by Sphinx gallery (#​7327).
• Allow a very small floating point tolerance for pearson test (#​7356).
• Update numpydoc to version 1.7 (#​7355).
• [pre-commit.ci] pre-commit autoupdate (#​7365).
• Simplify warning filters in test suite (#​7349).
• Build against NumPy >=2.0.0rc1 (#​7367).
• Remove ensure_python_version function (#​7370).
• Update GitHub actions to setup-python@v5, cache@v4, upload-artifact@v4, and download-artifact@v4 (#​7368).
• Update lazyloader to v0.4 (#​7373).

Contributors

29 authors added to this release (alphabetically):

• @​GParolini
• @​tokiAi
• Adrien Foucart (@​adfoucart)
• Anam Fatima (@​anamfatima1304)
• Ananya Srivastava (@​ana42742)
• Ben Harvie (@​benharvie)
• Christian Clauss (@​cclauss)
• Cris Luengo (@​crisluengo)
• Egor Panfilov (@​soupault)
• Grzegorz Bokota (@​Czaki)
• Jan Lebert (@​sitic)
• Jarrod Millman (@​jarrodmillman)
• Jeremy Farrell (@​farrjere)
• Juan Nunez-Iglesias (@​jni)
• Lars Grüter (@​lagru)
• Mao Nishino (@​mao1756)
• Marianne Corvellec (@​mkcor)
• Mark Harfouche (@​hmaarrfk)
• Matthew Feickert (@​matthewfeickert)
• Matthew Vine (@​MattTheCuber)
• Maxime Corbé (@​Maxime-corbe)
• Michał Górny (@​mgorny)
• Neil Shephard (@​ns-rse)
• Ole Streicher (@​olebole)
• Peter Suter (@​petsuter)
• Robert Haase (@​haesleinhuepf)
• Sean McKinney (@​jouyun)
• Stefan van der Walt (@​stefanv)
• vfdev (@​vfdev-5)

21 reviewers added to this release (alphabetically):

• @​GParolini
• Adrien Foucart ([@​adfoucart](https://redirect.github.

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