v0.5.0
0.5.0 (2021-02-01)
We're pleased to announce the release of dask-image 0.5.0!
Highlights
The biggest highlight of this release is our new affine transformation feature, contributed by Marvin Albert.
The SciPy Japan sprint in November 2020 led to many improvements, and I'd like to recognise the hard work by Tetsuo Koyama and Kuya Takami.
Special thanks go to everyone who joined us at the conference!
New Features
- Affine transformation feature added: from dask_image.ndinterp import affine_transform (#159)
- GPU support added for local_threshold with method='mean' (#158)
- Pathlib input now accepted for imread functions (#174)
Improvements
- Performance improvement for 'imread', we now use
da.map_blocks
instead ofda.concatenate
(#165)
Bug Fixes
- Fixed imread tests (add
contiguous=True
when saving test data with tifffile) (#164) - FIXed scipy LooseVersion for sum_labels check (#176)
API Changes
- 'sum' is renamed to 'sum_labels' and a add deprecation warning added (#172)
Documentation improvements
- Add section Talks and Slides #163 (#169)
- Add link to SciPy Japan 2020 talk (#171)
- Add development guide to setup environment and run tests (#170)
- Update information in AUTHORS.rst (#167)
Maintenance
- Update dependencies in Read The Docs environment (#168)
6 authors added to this release (alphabetical)
- Fabian Chong - @feiming
- Genevieve Buckley - @GenevieveBuckley
- jakirkham - @jakirkham
- Kuya Takami - @ku-ya
- Marvin Albert - @m-albert
- Tetsuo Koyama - @tkoyama010
7 reviewers added to this release (alphabetical)