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Docs: add GPU support info to coverage table (#301)
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* Add GPU function coverage to table in docs

* Add threshold_local to coverage docs
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GenevieveBuckley authored Mar 27, 2023
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84 changes: 81 additions & 3 deletions docs/coverage.rst
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Expand Up @@ -8,229 +8,307 @@ Coverage of dask-image vs scipy ndimage functions
This table shows which SciPy ndimage functions are supported by dask-image.

.. list-table::
:widths: 25 25 50
:widths: 25 25 25 30
:header-rows: 0

* - Function name
- SciPy ndimage
- dask-image
- dask-image GPU support
* - ``affine_transform``
- ✓
- ✓
- ✓
* - ``binary_closing``
- ✓
- ✓
- ✓
* - ``binary_dilation``
- ✓
- ✓
- ✓
* - ``binary_erosion``
- ✓
- ✓
- ✓
* - ``binary_fill_holes``
- ✓
-
-
* - ``binary_hit_or_miss``
- ✓
-
-
* - ``binary_opening``
- ✓
- ✓
- ✓
* - ``binary_propagation``
- ✓
-
-
* - ``black_tophat``
- ✓
-
-
* - ``center_of_mass``
- ✓
- ✓
-
* - ``convolve``
- ✓
- ✓
- ✓
* - ``convolve1d``
- ✓
-
-
* - ``correlate``
- ✓
- ✓
- ✓
* - ``correlate1d``
- ✓
-
-
* - ``distance_transform_bf``
- ✓
-
-
* - ``distance_transform_cdt``
- ✓
-
-
* - ``distance_transform_edt``
- ✓
-
-
* - ``extrema``
- ✓
- ✓
-
* - ``find_objects``
- ✓
- ✓
-
* - ``fourier_ellipsoid``
- ✓
-
-
* - ``fourier_gaussian``
- ✓
- ✓
-
* - ``fourier_shift``
- ✓
- ✓
-
* - ``fourier_uniform``
- ✓
- ✓
-
* - ``gaussian_filter``
- ✓
- ✓
- ✓
* - ``gaussian_filter1d``
- ✓
-
-
* - ``gaussian_gradient_magnitude``
- ✓
- ✓
- ✓
* - ``gaussian_laplace``
- ✓
- ✓
- ✓
* - ``generate_binary_structure``
- ✓
-
-
* - ``generic_filter``
- ✓
-
* - ``generic_filter1d``
- ✓
- ✓
* - ``generic_filter1d``
- ✓
-
-
* - ``generic_gradient_magnitude``
- ✓
-
-
* - ``generic_laplace``
- ✓
-
-
* - ``geometric_transform``
- ✓
-
-
* - ``grey_closing``
- ✓
-
-
* - ``grey_dilation``
- ✓
-
-
* - ``grey_erosion``
- ✓
-
-
* - ``grey_opening``
- ✓
-
-
* - ``histogram``
- ✓
- ✓
-
* - ``imread``
- ✓
- ✓
- ✓
* - ``iterate_structure``
- ✓
-
-
* - ``label``
- ✓
- ✓
-
* - ``labeled_comprehension``
- ✓
- ✓
-
* - ``laplace``
- ✓
- ✓
- ✓
* - ``map_coordinates``
- ✓
-
-
* - ``maximum``
- ✓
- ✓
-
* - ``maximum_filter``
- ✓
- ✓
- ✓
* - ``maximum_filter1d``
- ✓
-
-
* - ``maximum_position``
- ✓
- ✓
-
* - ``mean``
- ✓
- ✓
-
* - ``median``
- ✓
- ✓
-
* - ``median_filter``
- ✓
- ✓
- ✓
* - ``minimum``
- ✓
- ✓
-
* - ``minimum_filter``
- ✓
- ✓
- ✓
* - ``minimum_filter1d``
- ✓
-
-
* - ``minimum_position``
- ✓
- ✓
-
* - ``morphological_gradient``
- ✓
-
-
* - ``morphological_laplace``
- ✓
-
-
* - ``percentile_filter``
- ✓
- ✓
- ✓
* - ``prewitt``
- ✓
- ✓
- ✓
* - ``rank_filter``
- ✓
- ✓
- ✓
* - ``rotate``
- ✓
-
-
* - ``shift``
- ✓
-
-
* - ``sobel``
- ✓
- ✓
- ✓
* - ``spline_filter``
- ✓
- ✓
- ✓
* - ``spline_filter1d``
- ✓
- ✓
- ✓
* - ``standard_deviation``
- ✓
- ✓
-
* - ``sum_labels``
- ✓
- ✓
-
* - ``threshold_local``
- scikit-image function
- ✓
- ✓
* - ``uniform_filter``
- ✓
- ✓
- ✓
* - ``uniform_filter1d``
- ✓
-
-
* - ``variance``
- ✓
- ✓
-
* - ``watershed_ift``
- ✓
-
-
* - ``white_tophat``
- ✓
-
-
* - ``zoom``
- ✓
-
-

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