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Use libc.math.atan2

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Johannes Schönberger
2013-10-11 18:05:40 +02:00
committed by François Boulogne
parent def4ab8ccc
commit e68ba0db01
1 changed files with 2 additions and 2 deletions
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skimage/transform/_hough_transform.pyx
+2 -2
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@@ -7,7 +7,7 @@ import numpy as np
cimport numpy as cnp
cimport cython
from libc.math cimport abs, fabs, sqrt, ceil, M_PI
from libc.math cimport abs, fabs, sqrt, ceil, atan2, M_PI
from libc.stdlib cimport rand
from skimage.draw import circle_perimeter
@@ -205,7 +205,7 @@ def hough_ellipse(cnp.ndarray img, int threshold=4, double accuracy=1,
hist, bin_edges = np.histogram(acc, bins=bins)
hist_max = np.max(hist)
if hist_max > threshold:
angle = np.arctan2(p1x - p2x, p1y - p2y)
angle = atan2(p1x - p2x, p1y - p2y)
b = sqrt(bin_edges[hist.argmax()])
# to keep ellipse_perimeter() convention
if angle != 0: