v0.3.0rc2

Release candidate

v0.3.0

We're pleased to announce the release of dask-image 0.3.0!

Highlights

• Python 3.8 is now supported (#131)
• Support for Python 2.7 and 3.5 has been dropped (#119) (#131)
• We have a dask-image quickstart guide (#108), available from the dask examples page: https://examples.dask.org/applications/image-processing.html

New Features

• Distributed labeling has been implemented (#94)
• Area measurement function added to dask_image.ndmeasure (#115)

Improvements

• Optimize out first where in label (#102)

Bug Fixes

• Bugfix in center_of_mass to correctly handle integer input arrays (#122)
• Test float cast in _norm_args (#105)
• Handle Dask's renaming of atop to blockwise (#98)

API Changes

• Rename the input argument to image in the ndimage functions (#117)
• Rename labels in ndmeasure function arguments (#126)

Support

• Update installation instructions so conda is the preferred method (#88)
• Add Python 3.7 to Travis CI (#89)
• Add instructions for building docs with sphinx to CONTRIBUTING.rst (#90)
• Sort Python 3.7 requirements (#91)
• Use double equals for exact package versions (#92)
• Use flake8 (#93)
• Note Python 3.7 support (#95)
• Fix the Travis MacOS builds (update XCode to version 9.4 and use matplotlib 'Agg' backend) (#113)

7 authors added to this release (alphabetical)

• Amir Khalighi - @akhalighi
• Elliana May - @Mause
• Genevieve Buckley - @GenevieveBuckley
• jakirkham - @jakirkham
• Jaromir Latal - @jermenkoo
• Juan Nunez-Iglesias - @jni
• timbo8 - @timbo8

2 reviewers added to this release (alphabetical)

• Genevieve Buckley - @GenevieveBuckley
• jakirkham - @jakirkham

v0.2.0

• Construct separate label masks in labeled_comprehension (#82)
• Use full to construct 1-D NumPy array (#83)
• Use NumPy's ndindex in labeled_comprehension (#81)
• Cleanup test_labeled_comprehension_struct (#80)
• Use 1-D structured array fields for position-based kernels in ndmeasure (#79)
• Rewrite center_of_mass using labeled_comprehension (#78)
• Adjust extrema's internal structured type handling (#77)
• Test labeled_comprehension with object type (#76)
• Rewrite histogram to use labeled_comprehension (#75)
• Use labeled_comprehension directly in more function in ndmeasure (#74)
• Update mean's variables to match other functions (#73)
• Consolidate summation in _ravel_shape_indices (#72)
• Update HISTORY for 0.1.2 release (#71)
• Bump dask-sphinx-theme to 1.1.0 (#70)

v0.1.2

• Ensure labeled_comprehension's default is 1D. (#69)
• Bump dask-sphinx-theme to 1.0.5. (#68)
• Use nout=2 in ndmeasure's label. (#67)
• Use custom kernel for extrema. (#61)
• Handle structured dtype in labeled_comprehension. (#66)
• Fixes for _unravel_index. (#65)
• Bump dask-sphinx-theme to 1.0.4. (#64)
• Unwrap some lines. (#63)
• Use dask-sphinx-theme. (#62)
• Refactor out _unravel_index function. (#60)
• Divide sigma by -2. (#59)
• Use Python 3's definition of division in Python 2. (#58)
• Force dtype of prod in _ravel_shape_indices. (#57)
• Drop vendored compatibility code. (#54)
• Drop vendored copy of indices and uses thereof. (#56)
• Drop duplicate utility tests from ndmorph. (#55)
• Refactor utility module for imread. (#53)
• Reuse ndfilter utility function in ndmorph. (#52)
• Cleanup freq_grid_i construction in _get_freq_grid. (#51)
• Use shared Python 2/3 compatibility module. (#50)
• Consolidate Python 2/3 compatibility code. (#49)
• Refactor Python 2/3 compatibility from imread. (#48)
• Perform 2 * pi first in _get_ang_freq_grid. (#47)
• Ensure J is negated first in fourier_shift. (#46)
• Breakout common changes in fourier_gaussian. (#45)
• Use conda-forge badge. (#44)

0.1.1 (2018-08-31)

• Fix a bug in an ndmeasure test of an internal function.

0.1.0 (2018-08-31)

• First release on PyPI.
• Pulls in content from dask-image org.
• Supports reading of image files into Dask.
• Provides basic N-D filters with options to extend.
• Provides a few N-D Fourier filters.
• Provides a few N-D morphological filters.
• Provides a few N-D measurement functions for label images.
• Has 100% line coverage in test suite.