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

samples/python/kmeans.py

@@ -14,7 +14,7 @@ Keyboard shortcuts:
 from __future__ import print_function
 
 import numpy as np
-import cv2
+import cv2 as cv
 
 from gaussian_mix import make_gaussians
 
@@ -28,23 +28,23 @@ if __name__ == '__main__':
     colors = np.zeros((1, cluster_n, 3), np.uint8)
     colors[0,:] = 255
     colors[0,:,0] = np.arange(0, 180, 180.0/cluster_n)
-    colors = cv2.cvtColor(colors, cv2.COLOR_HSV2BGR)[0]
+    colors = cv.cvtColor(colors, cv.COLOR_HSV2BGR)[0]
 
     while True:
         print('sampling distributions...')
         points, _ = make_gaussians(cluster_n, img_size)
 
-        term_crit = (cv2.TERM_CRITERIA_EPS, 30, 0.1)
-        ret, labels, centers = cv2.kmeans(points, cluster_n, None, term_crit, 10, 0)
+        term_crit = (cv.TERM_CRITERIA_EPS, 30, 0.1)
+        ret, labels, centers = cv.kmeans(points, cluster_n, None, term_crit, 10, 0)
 
         img = np.zeros((img_size, img_size, 3), np.uint8)
         for (x, y), label in zip(np.int32(points), labels.ravel()):
             c = list(map(int, colors[label]))
 
-            cv2.circle(img, (x, y), 1, c, -1)
+            cv.circle(img, (x, y), 1, c, -1)
 
-        cv2.imshow('gaussian mixture', img)
-        ch = cv2.waitKey(0)
+        cv.imshow('gaussian mixture', img)
+        ch = cv.waitKey(0)
         if ch == 27:
             break
-    cv2.destroyAllWindows()
+    cv.destroyAllWindows()