doc/source/release_notes/release_0.14.rst
We're happy to announce the release of scikit-image v0.14.4!
As a reminder, 0.14.x is the final version of scikit-image with support for Python 2.7, and will receive critical bug fixes until Jan 1, 2020. If you are using Python 3.5 or later, you should upgrade to scikit-image 0.15.x.
This is a bugfix release, and contains the following changes from v0.14.3:
As a reminder, 0.14.x is the final version of scikit-image with support for Python 2.7, and will receive critical bug fixes until Jan 1, 2020. If you are using Python 3.5 or later, you should upgrade to scikit-image 0.15.x.
This is a bugfix release, and contains the following changes from v0.14.2:
wheel package (scikit-image/scikit-image-wheels#10)... and, as always, a special mention to Matthias Bussonnier's Meeseeks Box, which remains invaluable for our backports.
This release handles an incompatibility between scikit-image and NumPy 1.16.0, released on January 13th 2019.
It contains the following changes from 0.14.1:
skimage.measure.regionprops no longer removes singleton dimensions from
label images (#3284). To recover the old behavior, replace
regionprops(label_image) calls with
regionprops(np.squeeze(label_image))_validate_lengths (backport of #3556)skimage.measure.regionprops for 1x1 inputs (backport of #3284)local_maxima with flood-fill (backport of #3022, #3447)--pre build in appveyor (backport of #3222)skimage.lookfor (backport of #3477)pytest.fixtures decorator (#3558)We're happy to announce the release of scikit-image v0.14.1!
scikit-image is an image processing toolbox for SciPy that includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more.
This is our first release under our Long Term Support for 0.14 policy. As a reminder, 0.14 is the last release to support Python 2.7, but it will be updated with bug fixes and popular features until January 1st, 2020.
This release contains the following changes from 0.14.0:
skimage.color.adapt_rgb was applying input functions to the wrong axis
(#3097)CollectionViewer now indexes correctly (it had been broken by an update
to NumPy indexing) (#3288)matrix from NumPy 1.15
(#3238, #3242, #3292)__all__ listing of moments_coord_central, so it
and moments_normalized can now be correctly imported from the measure
namespace (#3374)label2rgb(..., kind='avg') (#3280)img_as_float now allows single-precision (32-bit) float arrays to pass
through unmodified, rather than being up-converted to 64-bit (#3110, #3052,
#3391)cycle_spin function for enhanced denoising works single-threaded
when dask is not installed now (#3218)io module will no longer inadvertently set the matplotlib
backend when imported (#3243)get keyword from dask in favor of scheduler (#3366)cval parameter to threshold_local (#3370)dynamic_range in measure.compare_psnr (#3313)center parameter of
skimage.transform.rotate (#3341)measure.profile_line (#3236)import * from the scikit-image package root (#3265)lookfor is no longer defined in __init__.py but rather imported to it
(#3162)pyproject.toml to ensure Cython is present before building (#3295)Made with commits from (alphabetical by last name):
Reviewed by (alphabetical by last name):
And with the special support of MeeseeksDev, created by Matthias Bussonnier
We're happy to announce the release of scikit-image v0.14.0!
scikit-image is an image processing toolbox for SciPy that includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more.
This is the last major release with official support for Python 2.7. Future releases will be developed using Python 3-only syntax.
However, 0.14 is a long-term support (LTS) release and will receive bug fixes and backported features deemed important (by community demand) until January 1st 2020 (end of maintenance for Python 2.7; see PEP 373 for details).
For more information, examples, and documentation, please visit our website:
skimage.lookfor. (#2713)skimage.transform.rescale, skimage.transform.resize,
and skimage.transform.pyramid_* transforms. (#1522)skimage.future.manual_polygon_segmentation,
skimage.future.manual_lasso_segmentation. (#2584)skimage.filters.apply_hysteresis_threshold. (#2665)skimage.segmentation.morphological_chan_vese (2D),
skimage.segmentation.morphological_geodesic_active_contour (2D and 3D). (#2791)skimage.measure.moments_central,
skimage.measure.moments_central, skimage.measure.moments_normalized,
skimage.measure.moments_hu. This change leads to 3D/nD compatibility for
many regionprops. (#2603)skimage.measure.moments_coords,
skimage.measure.moments_coords_central. (#2859)blob_dog and blob_log. (#2854)skimage.measure.inertia_tensor. (#2603)skimage.restoration.cycle_spin. (#2647)skimage.feature.haar_like_feature,
skimage.feature.haar_like_feature_coord,
skimage.feature.draw_haar_like_feature. (#2848)skimage.draw.random_shapes. (#2773)skimage.data.cbcl_face_database. (#2905)skimage.util.montage. (#2626)skimage.color.rgb2ydbdr,
skimage.color.ydbdr2rgb. (#3018)VisuShrink method for skimage.restoration.denoise_wavelet. (#2470)max_ratio parameter for skimage.feature.match_descriptors. (#2472)skimage.transform.resize and skimage.transform.rescale have a new
anti_aliasing option to avoid aliasing artifacts when down-sampling
images. (#2802)skimage.feature.hog. (#2870)skimage.restoration.denoise_nl_means) has
a new optional parameter, sigma, that can be used to specify the noise
standard deviation. This enables noise-robust patch distance estimation. (#2890)skimage.measure.compare_ssim,
skimage.measure.compare_psnr, etc. (#2893)alignment parameter in skimage.feature.plot_matches. (#2955)seed parameter in skimage.transform.probabilistic_hough_line. (#2960)skimage.measure.regionprops.bbox_area returning incorrect value. (#2837)skimage.feature.hog
to closely follow the paper. (#2864)skimage.color.convert_colorspace not working for YCbCr, YPbPr. (#2780)rescale not working properly with different rescale factors in multichannel case. (#2959)skimage.util.invert. (#3030)skimage.measure.find_contours raising StopIteration on Python 3.7. (#3038)skimage.util.montage. namespace has been removed, and
skimage.util.montage.montage2d function is now available as
skimage.util.montage2d.skimage.morphology.binary_erosion now uses True as border
value, and is now consistent with skimage.morphology.erosion.freeimage plugin has been removed from skimage.io.skimage.util.montage2d is deprecated and will be removed in 0.15.
Use skimage.util.montage function instead.skimage.novice is deprecated and will be removed in 0.16.skimage.transform.resize and skimage.transform.rescale have a new
anti_aliasing option that avoids aliasing artifacts when down-sampling
images. This option will be enabled by default in 0.15.regionprops will use row-column coordinates in 0.16. You can start
using them now with regionprops(..., coordinates='rc'). You can silence
warning messages, and retain the old behavior, with
regionprops(..., coordinates='xy'). However, that option will go away
in 0.16 and result in an error. This change has a number of consequences.
Specifically, the "orientation" region property will measure the
anticlockwise angle from a vertical line, i.e. from the vector (1, 0) in
row-column coordinates.skimage.morphology.remove_small_holes min_size argument is deprecated
and will be removed in 0.16. Use area_threshold instead.We'd also like to thank all the people who contributed their time to perform the reviews:
This release is the result of 14 months of work. It contains the following 186 merged pull requests by 67 committers:
_sift_read (#2452)_shared/tests/test_interpolation.py (#2454)denoise_wavelet (#2470)pep8_speaks (#2579)color.gray2rgb (#2645)imshow_collection to plot images on a grid of convenient aspect ratio (#2689)visualise in favor of visualize in skimage.feature.hog (#2705)skimage.lookfor function (#2713)asarray (#2715)skimage.io.imread docstring (#2725)restoration.inpaint_biharmonic (#2738)freeimage plugin from skimage.io (#2744)color.convert_colorspace for YCbCr, YPbPr (#2780)feature.draw_multiblock_lbp (#2852)blob_dog and blob_log (#2854)skimage.feature.hog (#2864)skimage.measure.centroid and add test coverage (#2869)feature.hog (#2870)active_contour (#2871)measure.compare_ssim (#2872)test_random_shapes. (#2877)test_random_shapes use internally shipped testing tools (#2879)skimage.data (#2897)skimage.data (#2905)skimage.restoration.unsupervised_wiener (#2906)skimage.data" (#2907)_enforce_label_connectivity_cython() (#2908)draw._random_shapes._generate_triangle_mask docstring (#2914)morphology.remove_small_holes argument min_size with area_threshold (#2924)gradient parameter docstring in compare_ssim (#2937)alignment parameter to feature.plot_matches (#2955)params (#2979)draw.random_shapes API improvements (#3029)threshold_local to filters module namespace (#3096)