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Fix Python 3 incompatibility (also, some wording tweaks)

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Tony S Yu
2013-07-06 00:55:51 -05:00
parent 42e07a8ef6
commit 516d6efa5d
1 changed files with 6 additions and 5 deletions
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doc/examples/plot_local_binary_pattern.py
+6 -5
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@@ -120,10 +120,11 @@ plt.gray()
titles = ('edge', 'flat', 'corner')
w = width = radius - 1
edge_labels = range(n_points // 2 - w, n_points // 2 + w + 1)
flat_labels = range(0, w + 1) + range(n_points - w, n_points + 2)
flat_labels = list(range(0, w + 1)) + list(range(n_points - w, n_points + 2))
i_14 = n_points // 4 # 1/4th of the histogram
i_34 = 3 * (n_points // 4) # 3/4th of the histogram
corner_labels = range(i_14 - w, i_14 + w + 1) + range(i_34 - w, i_34 + w + 1)
corner_labels = (list(range(i_14 - w, i_14 + w + 1)) +
list(range(i_34 - w, i_34 + w + 1)))
label_sets = (edge_labels, flat_labels, corner_labels)
@@ -148,9 +149,9 @@ for ax in ax_img:
The above plot highlights flat, edge-like, and corner-like regions of the
image.
The histogram of the LBP result is a good measure to classify textures. For
simplicity the histogram distributions are then tested against each other using
the Kullback-Leibler-Divergence.
The histogram of the LBP result is a good measure to classify textures. Here,
we test the histogram distributions against each other using the
Kullback-Leibler-Divergence.
"""
# settings for LBP