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Build gallery with sphinx-gallery

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Modified comments in some gallery examples for compatibility with
sphinx-gallery parsing. Also modified some links in the narrative doc
since image file names have changed.
This commit is contained in:
emmanuelle
2016-05-10 08:00:50 +02:00
parent ef9bcfb778
commit 844858f01b
23 changed files with 688 additions and 945 deletions
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doc/examples/features_detection/plot_multiblock_local_binary_pattern.py
+10 -12
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@@ -43,10 +43,10 @@ lbp_code = multiblock_lbp(int_img, 0, 0, 3, 3)
assert_equal(correct_answer, lbp_code)
"""
Now let's apply the operator to a real image and see how the
visualization works.
"""
######################################################################
# Now let's apply the operator to a real image and see how the visualization
# works.
from skimage import data
from matplotlib import pyplot as plt
from skimage.feature import draw_multiblock_lbp
@@ -65,11 +65,9 @@ plt.imshow(img, interpolation='nearest')
plt.show()
"""
.. image:: PLOT2RST.current_figure
On the above plot we see the result of computing a MB-LBP and visualization of
the computed feature. The rectangles that have less intensities' sum than the
central rectangle are marked in cyan. The ones that have higher intensity
values are marked in white. The central rectangle is left untouched.
"""
######################################################################
# On the above plot we see the result of computing a MB-LBP and visualization
# of the computed feature. The rectangles that have less intensities' sum
# than the central rectangle are marked in cyan. The ones that have higher
# intensity values are marked in white. The central rectangle is left
# untouched.