Package: dask-image
dask-imageDistributed image processingFree software: BSD 3-ClauseDocumentation:https://dask-image.readthedocs.io.History2023.08.1 (2023-08-04)We’re pleased to announce the release of dask-image 2023.08.1!This is a patch release to complete the dropping of python 3.8
in the previous release.Use>=3.9inpython_requiresinsetup.py(#336)2 authors added to this release (alphabetical)jakirkham- @jakirkhamMarvin Albert- @m-albert0 reviewers added to this release (alphabetical)2023.08.0 (2023-08-03)We’re pleased to announce the release of dask-image 2023.08.0!HighlightsThis version fixes bugs related to processing CuPy backed dask arrays
and improves testing on GPU CI. It drops support for python 3.8 and
adds pandas as a dependency. As a feature improvement, the dask-image
equivalent ofscipy.ndimage.labelnow supports arbitrary
structuring elements.For full support of all GPU functionality in dask-image we recommend
using CuPy version 9.0.0 or higher.ImprovementsGeneralised ndmeasure.label to arbitrary structuring elements (#321)Bug FixesAdded missing cupy test mark and fixed cupy threshold (#329)Moved functions from ndimage submodules to ndimage namespace (#325)Updated requirementsDrop Python 3.8, in accordance with NEP29 recommendation (#315)Require NumPy 1.18+ (#304)Add pandas requirement for find_objs function (#309)Build ToolsContinuous integrationUpdate GPU conda environment before running tests (#318)Fix GitHub actions README badge (#323)Dependabot updatesBump coverallsapp/github-action from 2.0.0 to 2.1.2 (#313)Bump coverallsapp/github-action from 2.1.2 to 2.2.0 (#322)Bump coverallsapp/github-action from 2.2.0 to 2.2.1 (#326)6 authors added to this release (alphabetical)Charles Blackmon-Luca- @charlesblucaDavid Stansby- @dstansbydependabot[bot]- @dependabot[bot]Genevieve Buckley- @GenevieveBuckleyjakirkham- @jakirkhamMarvin Albert- @m-albert4 reviewers added to this release (alphabetical)Charles Blackmon-Luca- @charlesblucaGenevieve Buckley- @GenevieveBuckleyjakirkham- @jakirkhamJuan Nunez-Iglesias- @jniv2023.03.0 (2023-03-27)We’re pleased to announce the release of dask-image v2023.03.0!HighlightsThis version of dask-image drops support for python 3.7,
now requires a minimum Dask version of 2021.10.0 or higher
(due to a security patch), and makes tifffile a regular requirement.
We also now build and publish wheel files to PyPI.ImprovementsDocumentationAdd GPU CI info to contributing docs (#300)Docs: add GPU support info to coverage table (#301)TestingTestgaussianalias (#287)Update NaN block size tests for threshold_local function (#289)Testfind_objectsw/incorrect array type (#292)Deprecations and updated requirementsUpdate supported python versions to 3.8, 3.9, 3.10, & 3.11 (drop python 3.7) (#284)Security update: Dask v2021.10.0 as minimum allowable version (#288)Make tifffile regular requirement (#295)Build ToolsContinuous integrationRefresh doc environment (#273)Setup Coveralls with GitHub Actions (#274)Pin to jinja2<3.1 to avoid Readthedocs build error (#278)Updatessetup.py’s Python versions (#285)Combine CI workflows for testing and release upload to PyPI (#291)Enable option to restart GHA (#293)Readdenvironment-latest.ymlsymlink (#294)Add python 3.10 to gpuCI matrix (#298)ReleasesENH: Build and publish wheels in GitHub CI (#272)Update release notes script (#299)Release notes for v2022.09.0 (#270)Dependabot updatesCreate dependabot.yml (#279)Bump actions/setup-python from 2 to 4 (#280)Bump actions/checkout from 2 to 3 (#281)Bump coverallsapp/github-action from 1.1.3 to 1.2.2 (#282)Bump coverallsapp/github-action from 1.2.2 to 1.2.4 (#283)Bump coverallsapp/github-action from 1.2.4 to 2.0.0 (#296)Other Pull RequestsGroup all imread functions together in the same file (#290)7 authors added to this release (alphabetical)Charles Blackmon-Luca- @charlesblucadependabot[bot]- @dependabot[bot]Genevieve Buckley- @GenevieveBuckleyjakirkham- @jakirkhamMarvin Albert- @m-albertMatt McCormick- @thewtexVolker Hilsenstein- @VolkerH3 reviewers added to this release (alphabetical)Genevieve Buckley- @GenevieveBuckleyjakirkham- @jakirkhamMatt McCormick- @thewtexv2022.09.0 (2022-09-19)We’re pleased to announce the release of dask-image v2022.09.0!Not much has changed since the last release.
Volker Hilsenstein has improved imread, which now uses natural sorting for strings.
Fred Blunt has fixed deprecation warnings from scipy.ndimage,
and we’ve also done some miscellaneous maintenance work.ImprovementsUse natural sorting inimread(…)when globbing multiple files  (#265)Avoid DeprecationWarnings when importing scipy.ndimage filter functions (#261)MaintenanceRemove/add testing for python 3.6/3.9, update CI pinnings (#257)Update docs theme for rebranding (#263)Run CI onmain(#264)6 authors added to this release (alphabetical)Charles Blackmon-Luca- @charlesblucaFred Bunt- @fbuntGenevieve Buckley- @GenevieveBuckleyjakirkham- @jakirkhamSarah Charlotte Johnson- @scharlottej13Volker Hilsenstein- @VolkerH3 reviewers added to this release (alphabetical)Charles Blackmon-Luca- @charlesblucaGenevieve Buckley- @GenevieveBuckleyjakirkham- @jakirkham2021.12.0We’re pleased to announce the release of dask-image 2021.12.0!HighlightsThe major highlights of this release include the introduction of new featurees forfind_objectsand spline filters.
We have also moved to using CalVer (calendar version numbers) to match the main Dask project.New FeaturesFind objects bounding boxes (#240)Add spline_filter and spline_filter1d (#215)ImprovementsENH: add remaining kwargs to binary_closing and binary_opening (#221)ndfourier: support n > 0 (for rfft) and improve performance (#222)affine_transform: increased shape of required input array slices (#216)Bug FixesBUG: add missing import of warnings in dask_image.ndmeasure (#224)Fix wrap bug in ndfilters convolve and correlate (#243)Upgrade for compatibility with latest dask release (#241)Test infrastructureGitHub actions testing (#188)Set up gpuCI testing on PRs (#248)RemoveRAPIDS_VERaxis, bumpCUDA_VERin gpuCI matrix (#249)Documentation updatesCode style cleanup (#227)Remove out of date email address, strip __author__ & __email__ (#225)Update release guide, Dask CalVer uses YYYY.MM.DD (#236)Update min python version in setup.py (#250)Use new Dask docs theme (#245)Docs: Addfind_objectsto the coverage table (#254)Other Pull RequestsSwitch to CalVer (calendar versioning) (#233)6 authors added to this release (alphabetical)anlavandier- @anlavandierCharles Blackmon-Luca- @charlesblucaGenevieve Buckley- @GenevieveBuckleyGregory R. Lee- @grlee77Jacob Tomlinson- @jacobtomlinsonMarvin Albert- @m-albert6 reviewers added to this release (alphabetical)anlavandier- @anlavandierGenevieve Buckley- @GenevieveBuckleyGregory R. Lee- @grlee77Jacob Tomlinson- @jacobtomlinsonjakirkham- @jakirkhamMarvin Albert- @m-albert0.6.0 (2021-05-06)We’re pleased to announce the release of dask-image 0.6.0!HighlightsThe highlights of this release include GPU support for binary morphological
functions, and improvements to the performance ofimread.Cupy version 9.0.0 or higher is required for GPU support of thendmorphsubpackage.
Cupy version 7.7.0 or higher is required for GPU support of thendfiltersandimreadsubpackages.New FeaturesGPU support for ndmorph subpackage: binary morphological functions (#157)ImprovementsImprove imread performance: reduced overhead of pim.open calls when reading from image sequence (#182)Bug Fixesdask-image imread v0.5.0 not working with dask distributed Client & napari (#194)Not able to map actual image name with dask_image.imread (#200, fixed by #182)affine_transform: Remove inconsistencies with ndimage implementation #205API ChangesAdd aliasgaussianpointing togaussian_filter(#193)Other Pull RequestsChange default branch from master to main (#185)Fix rst formatting in release_guide.rst (#186)4 authors added to this release (alphabetical)Genevieve Buckley- @GenevieveBuckleyJulia Signell- @jsignellKM Goh- @K-MontyMarvin Albert- @m-albert2 reviewers added to this release (alphabetical)Genevieve Buckley- @GenevieveBuckleyKM Goh- @K-Monty0.5.0 (2021-02-01)We’re pleased to announce the release of dask-image 0.5.0!HighlightsThe 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 FeaturesAffine 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)ImprovementsPerformance improvement for ‘imread’, we now useda.map_blocksinstead ofda.concatenate(#165)Bug FixesFixed imread tests (addcontiguous=Truewhen 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 improvementsAdd 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)MaintenanceUpdate dependencies in Read The Docs environment (#168)6 authors added to this release (alphabetical)Fabian Chong- @feimingGenevieve Buckley- @GenevieveBuckleyjakirkham- @jakirkhamKuya Takami- @ku-yaMarvin Albert- @m-albertTetsuo Koyama- @tkoyama0107 reviewers added to this release (alphabetical)Fabian Chong- @feimingGenevieve Buckley- @GenevieveBuckleyGregory R. Lee- @grlee77jakirkham- @jakirkhamJuan Nunez-Iglesias- @jniMarvin Albert- @m-albertTetsuo Koyama- @tkoyama0100.4.0 (2020-09-02)We’re pleased to announce the release of dask-image 0.4.0!HighlightsThe major highlight of this release is support for cupy GPU arrays for dask-image subpackages imread and ndfilters.
Cupy version 7.7.0 or higher is required to use this functionality.
GPU support for the remaining dask-image subpackages (ndmorph, ndfourier, and ndmeasure) will be rolled out at a later date, beginning with ndmorph.We also have a new function, threshold_local, similar to the scikit-image local threshold function.Lastly, we’ve made more improvements to the user documentation, which includes work by new contributor @abhisht51.New FeaturesGPU support for ndfilters & imread modules (#151)threshold_local function for dask-image ndfilters (#112)ImprovementsAdd function coverage table to the dask-image docs (#155)Developer documentation: release guide (#142)Use tifffile for testing instead of scikit-image (#145)3 authors added to this release (alphabetical)Abhisht Singh- @abhisht51Genevieve Buckley- @GenevieveBuckleyjakirkham- @jakirkham2 reviewers added to this release (alphabetical)Genevieve Buckley- @GenevieveBuckleyJuan Nunez-Iglesias- @jni0.3.0 (2020-06-06)We’re pleased to announce the release of dask-image 0.3.0!HighlightsPython 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.htmlNew FeaturesDistributed labeling has been implemented (#94)Area measurement function added to dask_image.ndmeasure (#115)ImprovementsOptimize out firstwhereinlabel(#102)Bug FixesBugfix incenter_of_massto correctly handle integer input arrays (#122)Test float cast in_norm_args(#105)Handle Dask’s renaming ofatoptoblockwise(#98)API ChangesRename the input argument to image in the ndimage functions (#117)Rename labels in ndmeasure function arguments (#126)SupportUpdate 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- @akhalighiElliana May- @MauseGenevieve Buckley- @GenevieveBuckleyjakirkham- @jakirkhamJaromir Latal- @jermenkooJuan Nunez-Iglesias- @jnitimbo8- @timbo82 reviewers added to this release (alphabetical)Genevieve Buckley- @GenevieveBuckleyjakirkham- @jakirkham0.2.0 (2018-10-10)Construct separate label masks inlabeled_comprehension(#82)Usefullto construct 1-D NumPy array (#83)Use NumPy’sndindexinlabeled_comprehension(#81)Cleanuptest_labeled_comprehension_struct(#80)Use 1-D structured array fields for position-based kernels inndmeasure(#79)Rewritecenter_of_massusinglabeled_comprehension(#78)Adjustextrema’s internal structured type handling (#77)Test labeled_comprehension with object type (#76)Rewritehistogramto uselabeled_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)0.1.2 (2018-09-17)Ensurelabeled_comprehension’sdefaultis 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_indexfunction. (#60)Dividesigmaby-2. (#59)Use Python 3’s definition of division in Python 2. (#58)Force dtype ofprodin_ravel_shape_indices. (#57)Drop vendored compatibility code. (#54)Drop vendored copy of indices and uses thereof. (#56)Drop duplicate utility tests fromndmorph. (#55)Refactor utility module for imread. (#53)Reusendfilterutility function inndmorph. (#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)Perform2 * pifirst in_get_ang_freq_grid. (#47)EnsureJis negated first infourier_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.