# HG changeset patch
# User imgteam
# Date 1712244349 0
# Node ID df211f6b5cf2b62a306499f52e52941f4f1902df
# Parent 214f548481eba37ad3d824d3e370ae5862bb8b84
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/orientationpy commit c045f067a57e8308308cf6329060c7ccd3fc372f
diff -r 214f548481eb -r df211f6b5cf2 creators.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/creators.xml Thu Apr 04 15:25:49 2024 +0000
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diff -r 214f548481eb -r df211f6b5cf2 orientationpy.xml
--- a/orientationpy.xml Tue Mar 12 10:54:40 2024 +0000
+++ b/orientationpy.xml Thu Apr 04 15:25:49 2024 +0000
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with OrientationPy
+ creators.xml
0.2.0.4
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operation_3443
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orientationj
- orientationpy
+ orientationpy
scikit-image
- Compute the orientation of 2-D images in degrees using OrientationPy.
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+ **Computes the orientation of 2-D images in degrees using OrientationPy.**
OrientationPy is the pythonic successor to the well-loved OrientationJ Fiji Plugin.
It is a library that takes in images and computes the orientation of the greylevels.
A key step is the computation of image gradients, for a number of different techniques is supported.
For more information on ``--min_energy`` and ``--min_coherency`` see: https://epfl-center-for-imaging.gitlab.io/orientationpy/orientationpy_examples/plot_fibres_2d.html#plot-hsv-composition
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10.1007/s10237-011-0325-z