Metadata-Version: 2.1
Name: dask-image
Version: 0.2.0
Summary: Distributed image processing
Home-page: https://github.com/dask/dask-image
Author: John Kirkham
Author-email: kirkhamj@janelia.hhmi.org
License: BSD 3-Clause
Keywords: dask-image
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: dask[array] (>=0.16.1)
Requires-Dist: numpy (>=1.11.3)
Requires-Dist: scipy (>=0.19.1)
Requires-Dist: pims (>=0.4.1)

==========
dask-image
==========


.. image:: https://img.shields.io/pypi/v/dask-image.svg
        :target: https://pypi.python.org/pypi/dask-image
        :alt: PyPI

.. image:: https://img.shields.io/conda/vn/conda-forge/dask-image.svg
        :target: https://anaconda.org/conda-forge/dask-image
        :alt: conda-forge

.. image:: https://img.shields.io/travis/dask/dask-image/master.svg
        :target: https://travis-ci.org/dask/dask-image
        :alt: Travis CI

.. image:: https://readthedocs.org/projects/dask-image/badge/?version=latest
        :target: https://dask-image.readthedocs.io/en/latest/?badge=latest
        :alt: Read the Docs

.. image:: https://coveralls.io/repos/github/dask/dask-image/badge.svg
        :target: https://coveralls.io/github/dask/dask-image
        :alt: Coveralls

.. image:: https://img.shields.io/github/license/dask/dask-image.svg
        :target: ./LICENSE.txt
        :alt: License


Distributed image processing


* Free software: BSD 3-Clause
* Documentation: https://dask-image.readthedocs.io.


=======
History
=======

0.2.0 (2018-10-10)
------------------

* 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)

0.1.2 (2018-09-17)
------------------

* 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.


