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Fix parameter notation in doc string

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Johannes Schönberger
2014-01-22 19:08:36 -05:00
parent c3cf88edd3
commit 13c63a9bf6
1 changed files with 6 additions and 6 deletions
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skimage/feature/orb.py
+6 -6
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@@ -27,11 +27,11 @@ class ORB(FeatureDetector, DescriptorExtractor):
----------
n_keypoints : int, optional
Number of keypoints to be returned. The function will return the best
``n_keypoints`` according to the Harris corner response if more than
``n_keypoints`` are detected. If not, then all the detected keypoints
`n_keypoints` according to the Harris corner response if more than
`n_keypoints` are detected. If not, then all the detected keypoints
are returned.
fast_n : int, optional
The ``n`` parameter in ``feature.corner_fast``. Minimum number of
The `n` parameter in `skimage.feature.corner_fast`. Minimum number of
consecutive pixels out of 16 pixels on the circle that should all be
either brighter or darker w.r.t test-pixel. A point c on the circle is
darker w.r.t test pixel p if ``Ic < Ip - threshold`` and brighter if
@@ -43,9 +43,9 @@ class ORB(FeatureDetector, DescriptorExtractor):
similar w.r.t. the test pixel. Decrease the threshold when more
corners are desired and vice-versa.
harris_k : float, optional
The ``k`` parameter in ``feature.corner_harris``. Sensitivity factor to
separate corners from edges, typically in range ``[0, 0.2]``. Small
values of k result in detection of sharp corners.
The `k` parameter in `skimage.feature.corner_harris`. Sensitivity
factor to separate corners from edges, typically in range ``[0, 0.2]``.
Small values of `k` result in detection of sharp corners.
downscale : float, optional
Downscale factor for the image pyramid. Default value 1.2 is chosen so
that there are more dense scales which enable robust scale invariance