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Added more detailed example in docstrings

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Ankit Agrawal
2013-07-06 20:51:01 +08:00
parent 50ac1e89af
commit f932db666e
1 changed files with 48 additions and 9 deletions
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skimage/feature/_brief.py
+48 -9
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@@ -51,16 +51,55 @@ def brief(image, keypoints, descriptor_size=256, mode='normal', patch_size=49,
Examples
--------
>>> from skimage.data import camera
>>> from skimage.feature._brief import *
>>> from skimage.feature.corner import *
>>> img = camera()
>>> keypoints = corner_peaks(corner_harris(img), min_distance=10)
>>> keypoints.shape
(556, 2)
>>> descriptors = brief(img, keypoints)
>>> descriptors.shape
(489, 256)
>>> from skimage.feature import brief, hamming_distance
>>> square1 = np.zeros([10, 10])
>>> square1[2:8, 2:8] = 1
>>> square1
array([[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 1., 1., 1., 1., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])
>>> keypoints1 = corner_peaks(corner_harris(square1), min_distance=1)
>>> keypoints1
array([[2, 2],
[2, 7],
[7, 2],
[7, 7]])
>>> descriptors1 = brief(square1, keypoints1, patch_size = 5)
>>> square2 = np.zeros([12, 12])
>>> square2[3:9, 3:9] = 1
>>> square2
array([[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 1., 1., 1., 1., 1., 1., 0., 0., 0.],
[ 0., 0., 0., 1., 1., 1., 1., 1., 1., 0., 0., 0.],
[ 0., 0., 0., 1., 1., 1., 1., 1., 1., 0., 0., 0.],
[ 0., 0., 0., 1., 1., 1., 1., 1., 1., 0., 0., 0.],
[ 0., 0., 0., 1., 1., 1., 1., 1., 1., 0., 0., 0.],
[ 0., 0., 0., 1., 1., 1., 1., 1., 1., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])
>>> keypoints2 = corner_peaks(corner_harris(square2), min_distance=1)
>>> keypoints2
array([[3, 3],
[3, 8],
[8, 3],
[8, 8]])
>>> descriptors2 = brief(square2, keypoints1, patch_size = 5)
>>> hamming_distance(descriptors1, descriptors2)
array([[ 0.02734375, 0.2890625 , 0.32421875, 0.6171875 ],
[ 0.3359375 , 0.05078125, 0.6640625 , 0.37109375],
[ 0.359375 , 0.64453125, 0.03125 , 0.33203125],
[ 0.640625 , 0.40234375, 0.3828125 , 0.01953125]])
"""