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
- This is the latest release to support Python 3.8
- The API for algorithms that make use of pseudo-random numbers was unified. Before, various keyword arguments (
random_state) served the same purpose in different places. These have all been replaced with a single
rngargument, that handles both integer seeds and NumPy Generators.
Before upgrading, we recommend that users check that their own code does not use deprecated functionality. For a complete and detailed list of changes, please check out the full list of release notes for v0.21.0.
This release is the culmination of 3 months of work by at least 33 code authors, 27 reviewers and many more who contributed through other means.