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Update dependency scikit-image to v0.25.0 #205

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Update dependency scikit-image to v0.25.0 #205

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This PR contains the following updates:

Package Change Age Adoption Passing Confidence
scikit-image (source) ==0.17.2 -> ==0.25.0 age adoption passing confidence

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Release Notes

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

v0.25.0

Compare Source

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):

25 reviewers added to this release (alphabetically):

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

v0.24.0

Compare Source

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):

15 reviewers added to this release (alphabetically):

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

v0.23.2

Compare Source

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):

4 reviewers added to this release (alphabetically):

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

v0.23.1

Compare Source

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):

21 reviewers added to this release (alphabetically):

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

v0.23.0

Compare Source

[!WARNING]
Due to an issue with the CI system scikit-image 0.23.0 was never released.
This release is identical to 0.23.1 other than the CI fix and the version number.

v0.22.0

Compare Source

v0.21.0

Compare Source

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

Highlights

  • Last release to support Python 3.8
  • Unified API for PRNGs

New Features

  • Implement Fisher vectors in scikit-image (#​5349).
  • 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).
  • Unify pseudo-random seeding interface (#​6922).
  • Change geometric transform inverse to property (#​6926).

Enhancements

  • Bounding box crop (#​5499).
  • Add support for y-dimensional shear to the AffineTransform (#​6752).
  • Make join_segmentations return array maps from output to input labels (#​6786).
  • Check if spacing parameter is tuple in regionprops (#​6907).
  • Enable use of rescale_intensity with dask array (#​6910).

Performance

  • Add lazy loading to skimage.color submodule (#​6967).
  • Add Lazy loading to skimage.draw submodule (#​6971).
  • Add Lazy loader to skimage.exposure (#​6978).
  • Add lazy loading to skimage.future module (#​6981).

Bug Fixes

  • Fix and refactor deprecated decorator to deprecate_func (#​6594).
  • Refactor _invariant_denoise to denoise_invariant (#​6660).
  • Expose color.get_xyz_coords in public API (#​6696).
  • shift and normalize data before fitting circle or ellipse (#​6703).
  • Showcase pydata-sphinx-theme (#​6714).
  • Fix matrix calculation for shear angle in AffineTransform (#​6717).
  • Fix threshold_li(): prevent log(0) on single-value background. (#​6745).
  • Fix copy-paste error in footprints.diamond test case (#​6756).
  • Update .devpy/cmds.py to match latest devpy (#​6789).
  • Avoid installation of rtoml via conda in installation guide (#​6792).
  • Raise error in skeletonize for invalid value to method param (#​6805).
  • Sign error fix in measure.regionprops for orientations of 45 degrees (#​6836).
  • Fix returned data type in segmentation.watershed (#​6839).
  • Handle NaNs when clipping in transform.resize (#​6852).
  • Fix failing regionprop_table for multichannel properties (#​6861).
  • Do not allow 64-bit integer inputs; add test to ensure masked and unmasked modes are aligned (#​6875).
  • Fix typo in apply_parallel introduc

Configuration

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🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.

♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

🔕 Ignore: Close this PR and you won't be reminded about this update again.

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This PR was generated by Mend Renovate. View the repository job log.

@renovate renovate bot force-pushed the renovate/scikit-image-0.x branch from 249b6de to 78fd6b1 Compare October 20, 2021 06:39
@renovate renovate bot changed the title Update dependency scikit-image to v0.18.1 Update dependency scikit-image to v0.18.3 Oct 20, 2021
@renovate renovate bot force-pushed the renovate/scikit-image-0.x branch from 78fd6b1 to f43e36b Compare March 7, 2022 17:47
@renovate renovate bot changed the title Update dependency scikit-image to v0.18.3 Update dependency scikit-image to v0.19.2 Mar 7, 2022
@renovate renovate bot force-pushed the renovate/scikit-image-0.x branch from f43e36b to 483602b Compare June 18, 2022 21:28
@renovate renovate bot changed the title Update dependency scikit-image to v0.19.2 Update dependency scikit-image to v0.19.3 Jun 18, 2022
@renovate renovate bot force-pushed the renovate/scikit-image-0.x branch from 483602b to 3e2f4c7 Compare March 18, 2023 12:04
@renovate renovate bot changed the title Update dependency scikit-image to v0.19.3 Update dependency scikit-image to v0.20.0 Mar 18, 2023
@renovate renovate bot force-pushed the renovate/scikit-image-0.x branch from 3e2f4c7 to ea4c25c Compare June 2, 2023 07:55
@renovate renovate bot changed the title Update dependency scikit-image to v0.20.0 Update dependency scikit-image to v0.21.0 Jun 2, 2023
@renovate renovate bot force-pushed the renovate/scikit-image-0.x branch from ea4c25c to 75d05bf Compare October 4, 2023 00:35
@renovate renovate bot changed the title Update dependency scikit-image to v0.21.0 Update dependency scikit-image to v0.22.0 Oct 4, 2023
@renovate renovate bot force-pushed the renovate/scikit-image-0.x branch from 75d05bf to 0ca9195 Compare April 10, 2024 21:03
@renovate renovate bot changed the title Update dependency scikit-image to v0.22.0 Update dependency scikit-image to v0.23.1 Apr 10, 2024
@renovate renovate bot force-pushed the renovate/scikit-image-0.x branch from 0ca9195 to 767cdf7 Compare April 20, 2024 22:31
@renovate renovate bot changed the title Update dependency scikit-image to v0.23.1 Update dependency scikit-image to v0.23.2 Apr 20, 2024
@renovate renovate bot force-pushed the renovate/scikit-image-0.x branch from 767cdf7 to d01c6e4 Compare June 18, 2024 20:07
@renovate renovate bot changed the title Update dependency scikit-image to v0.23.2 Update dependency scikit-image to v0.24.0 Jun 18, 2024
@renovate renovate bot force-pushed the renovate/scikit-image-0.x branch from d01c6e4 to 57277d0 Compare December 13, 2024 22:27
@renovate renovate bot changed the title Update dependency scikit-image to v0.24.0 Update dependency scikit-image to v0.25.0 Dec 13, 2024
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