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microsoft / torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
https://www.osgeo.org/projects/torchgeo/
MIT License
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Bump scikit-image from 0.23.2 to 0.24.0 in /requirements #2129

Closed dependabot[bot] closed 1 week ago

dependabot[bot] commented 1 week ago

Bumps scikit-image from 0.23.2 to 0.24.0.

Release notes

Sourced from scikit-image's releases.

v0.24.0

No release notes provided.

v0.24.0rc1

scikit-image 0.24.0rc1

We're happy to announce the release of scikit-image 0.24.0rc1!

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).

... (truncated)

Changelog

Sourced from scikit-image's changelog.

  • 0.24.0rc0.dev0 # development version for 0.24.0 first release candidate

Process

  • To debug building and testing wheels via CI, push to a branch named maintenance/anything.

    Once everything works as intended, remove those branches and proceed.

  • Set release variables:

    export VERSION=<version number>
export PREVIOUS=<previous version number>
export ORG="scikit-image"
export REPO="scikit-image"

    If this is a prerelease:

    export NOTES="doc/source/release_notes/release_dev.rst"

    If this is release:

    export NOTES="doc/source/release_notes/release_${VERSION}.rst"
git rm doc/source/release_notes/release_dev.rst

  • Autogenerate release notes:

    changelist ${ORG}/${REPO} v${PREVIOUS} main --version ${VERSION}  --out ${NOTES} --format rst
changelist ${ORG}/${REPO} v${PREVIOUS} main --version ${VERSION}  --out ${VERSION}.md

  • If you want, you can review the release notes:

    • Scan the PR titles for highlights and mention these in the relevant sections of the notes. Ideally, all changed API objects are mentioned by name, e.g. a new parameter or a deprecated function.

    • Check for duplicate names in the automatically generated list of contributors and reviewers.

    • Append the release date to the title similar to previous iterations.

  • If this is a release:

    • (Only needed if you create a new branch) update the file skimage/data/_fetchers.py to point the pooch repository to the new branch instead of main during testing. Look for the parameter version_dev="main", for pooch.create and change it to the newly created branch name.

... (truncated)

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