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pep8 and py3 compliance. more comments

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Julius Bier Kirekgaard
2015-09-09 15:44:35 +01:00
parent 8d344d090f
commit 5c20ef7218
4 changed files with 46 additions and 34 deletions
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doc/examples/plot_active_contours.py
+6 -5
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@@ -1,7 +1,8 @@
"""
====================================================
====================
Active Contour Model
====================================================
====================
The active contour model is a method to fit open or closed splines to lines or
edges in an image. It works by minimising an energy that is in part defined by
the image and part by the spline's shape: length and smoothness. The
@@ -18,8 +19,8 @@ smooth images a bit before analyzing, as done in the following examples.
International Journal of Computer Vision 1 (4): 321 (1988).
We initialize a circle around the astronaut's face and use the default boundary
condition `bc='periodic'` to fit a closed curve. The default parameters
`w_line=0, w_edge=1` will make the curve search towards edges, such as the
condition ``bc='periodic'`` to fit a closed curve. The default parameters
``w_line=0, w_edge=1`` will make the curve search towards edges, such as the
boundaries of the face.
"""
@@ -39,7 +40,7 @@ y = 100 + 100*np.sin(s)
init = np.array([x, y]).T
snake = active_contour(gaussian_filter(img, 3),
init, alpha=0.015, beta=10, gamma=0.001)
init, alpha=0.015, beta=10, gamma=0.001)
fig = plt.figure(figsize=(7, 7))
ax = fig.add_subplot(111)