python: 'cv2.' -> 'cv.' via 'import cv2 as cv'

samples/python/houghcircles.py

@@ -1,7 +1,7 @@
 #!/usr/bin/python
 
 '''
-This example illustrates how to use cv2.HoughCircles() function.
+This example illustrates how to use cv.HoughCircles() function.
 
 Usage:
     houghcircles.py [<image_name>]
@@ -11,7 +11,7 @@ Usage:
 # Python 2/3 compatibility
 from __future__ import print_function
 
-import cv2
+import cv2 as cv
 import numpy as np
 import sys
 
@@ -23,20 +23,20 @@ if __name__ == '__main__':
     except IndexError:
         fn = "../data/board.jpg"
 
-    src = cv2.imread(fn, 1)
-    img = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)
-    img = cv2.medianBlur(img, 5)
+    src = cv.imread(fn, 1)
+    img = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
+    img = cv.medianBlur(img, 5)
     cimg = src.copy() # numpy function
 
-    circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT, 1, 10, np.array([]), 100, 30, 1, 30)
+    circles = cv.HoughCircles(img, cv.HOUGH_GRADIENT, 1, 10, np.array([]), 100, 30, 1, 30)
 
     if circles is not None: # Check if circles have been found and only then iterate over these and add them to the image
         a, b, c = circles.shape
         for i in range(b):
-            cv2.circle(cimg, (circles[0][i][0], circles[0][i][1]), circles[0][i][2], (0, 0, 255), 3, cv2.LINE_AA)
-            cv2.circle(cimg, (circles[0][i][0], circles[0][i][1]), 2, (0, 255, 0), 3, cv2.LINE_AA)  # draw center of circle
+            cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), circles[0][i][2], (0, 0, 255), 3, cv.LINE_AA)
+            cv.circle(cimg, (circles[0][i][0], circles[0][i][1]), 2, (0, 255, 0), 3, cv.LINE_AA)  # draw center of circle
 
-        cv2.imshow("detected circles", cimg)
+        cv.imshow("detected circles", cimg)
 
-    cv2.imshow("source", src)
-    cv2.waitKey(0)
+    cv.imshow("source", src)
+    cv.waitKey(0)