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Returning mask in _remove_border_keypoints

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This commit is contained in:
Ankit Agrawal
2013-08-15 15:00:00 +05:30
parent 6fc84dc7e6
commit 4f109d18e2
1 changed files with 6 additions and 9 deletions
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skimage/feature/util.py
+6 -9
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@@ -1,4 +1,3 @@
import numpy as np
def _remove_border_keypoints(image, keypoints, dist):
@@ -6,14 +5,12 @@ def _remove_border_keypoints(image, keypoints, dist):
width = image.shape[0]
height = image.shape[1]
try:
keypoints = keypoints[(dist - 1 < keypoints[:, 0])
& (keypoints[:, 0] < width - dist + 1)
& (dist - 1 < keypoints[:, 1])
& (keypoints[:, 1] < height - dist + 1)]
except IndexError:
return np.empty((0, 2), dtype=np.int32)
return keypoints
keypoints_filtering_mask = (dist - 1 < keypoints[:, 0]
& keypoints[:, 0] < width - dist + 1
& dist - 1 < keypoints[:, 1]
& keypoints[:, 1] < height - dist + 1)
return keypoints_filtering_mask
def pairwise_hamming_distance(array1, array2):