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[ENH] Fixed some PEP8 issues in example gallery.

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emmanuelle
2015-08-30 12:28:40 +02:00
parent 069c575955
commit 84ac53824d
20 changed files with 85 additions and 69 deletions
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doc/examples/plot_segmentations.py
+6 -4
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@@ -46,13 +46,15 @@ color-space and distance in image-space, given by ``ratio``.
SLIC - K-Means based image segmentation
---------------------------------------
This algorithm simply performs K-means in the 5d space of color information
and image location and is therefore closely related to quickshift. As the
This algorithm simply performs K-means in the 5d space of color information and
image location and is therefore closely related to quickshift. As the
clustering method is simpler, it is very efficient. It is essential for this
algorithm to work in Lab color space to obtain good results. The algorithm
quickly gained momentum and is now widely used. See [3] for details. The
``compactness`` parameter trades off color-similarity and proximity, as in the case
of Quickshift, while ``n_segments`` chooses the number of centers for kmeans.
``compactness`` parameter trades off color-similarity and proximity, as in the
case of Quickshift, while ``n_segments`` chooses the number of centers for
kmeans.
.. [3] Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi,
Pascal Fua, and Sabine Suesstrunk, SLIC Superpixels Compared to