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scikit-image 0.24.0 (2024-06-18)

doc/source/release_notes/release_0.24.rst

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scikit-image 0.24.0 (2024-06-18)

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 <https://github.com/scikit-image/scikit-image/pull/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 <https://github.com/scikit-image/scikit-image/pull/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 <https://github.com/scikit-image/scikit-image/pull/4165>_).

Performance

  • In skimage.feature.corner_fast, test four directions earlier, which should more than half the computation time for most cases (#7394 <https://github.com/scikit-image/scikit-image/pull/7394>_).

Documentation

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

Infrastructure

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

Maintenance

  • Replace deprecated nose style setup/teardown with autouse fixtures (#7343 <https://github.com/scikit-image/scikit-image/pull/7343>_).
  • Temporarily pin macos-12 runner in CI (#7408 <https://github.com/scikit-image/scikit-image/pull/7408>_).
  • Fix NumPy2 dtype promotion issues in pywt dependent code (#7414 <https://github.com/scikit-image/scikit-image/pull/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 <https://github.com/scikit-image/scikit-image/pull/7322>_).
  • Add support back for Python 3.9 to enhance compatibility with Numpy 2 (#7412 <https://github.com/scikit-image/scikit-image/pull/7412>_).
  • Disable ruff/pyupgrade rule UP038 (#7430 <https://github.com/scikit-image/scikit-image/pull/7430>_).
  • Stop verifying wheel attestations temporarily (#7444 <https://github.com/scikit-image/scikit-image/pull/7444>_).

Contributors

13 authors added to this release (alphabetically):

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

15 reviewers added to this release (alphabetically):

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

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