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TODO.txt
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TODO.txt
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Remember to list any API changes below in `doc/source/api_changes.txt`.
Version 0.16
------------
* Update RELEASE.txt regarding Azure Pipelines after making changes to
scikit-image-wheels repo.
* Finalize ``skimage.future.graph`` API.
* Finalize ``skimage.future.manual_segmentation`` API.
Version 0.17
------------
* In ``skimage.filters.median``, remove the parameters ``mask``, ``shift_x``,
and ``shift_y``.
* Remove deprecated arguments ``beta1`` and ``beta2`` from function ``skimage.filters.frangi``
* Remove deprecated arguments ``beta1`` and ``beta2`` from function ``skimage.filters.hessian``
* Remove unused arguments ``dtype`` in ``imread`` functions. See #3918.
Other
-----
* Remove legacy pretty printing workaround for ``pytest`` in ``conftest.py``
once minimal required ``numpy`` is set to >= 1.14.0.
* Remove the conditional warning logic when ``numpy`` is set to >= 1.15.0
for ``scipy`` and ``pywl`` (``pywavelet``) in ``test_lpi_filter.py`` and
``test_denoise.py`` regarding multidimensional indexing.
* Remove the conditional warning logic when ``numpy`` is set to >= 1.15.0
for sparse matricies (``np.matrix``) used by scipy.sparse in
``test_random_walker.py``. Note that there is also a chance ``scipy.sparse``
moves away from using ``np.matrix`` in a future version too.
* Remove the conditional import and function call when ``numpy`` is set
to > 1.15.x in ``skimage/util/arraycrop.py``.
* When minimum supported version of ``scipy`` reaches 0.18, use
``scipy.fftpack.next_fast_len`` directly in
``skimage.feature.masked_register_translation``.
* Monitor SciPy for a new release that passes PYTHONOPTIMIZE builds
`https://github.com/scipy/scipy/pull/9373`. This was identified as an issue
in SciPy 1.1.0. When SciPy becomes compatible with PYTHONOPTIMIZE, add an
environment variable ``PYTHONOPTIMIZE=2`` to one of the builds.
* Remove custom fused type in ``skimage/filters/_max_tree.pyx`` once
#3486 fused types is merged.
* Check whether imread wheels are available, then re-enable testing imread
on macOS. See https://github.com/scikit-image/scikit-image/pull/3898