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

samples/python/peopledetect.py

@@ -13,7 +13,7 @@ Press any key to continue, ESC to stop.
 from __future__ import print_function
 
 import numpy as np
-import cv2
+import cv2 as cv
 
 
 def inside(r, q):
@@ -27,7 +27,7 @@ def draw_detections(img, rects, thickness = 1):
         # the HOG detector returns slightly larger rectangles than the real objects.
         # so we slightly shrink the rectangles to get a nicer output.
         pad_w, pad_h = int(0.15*w), int(0.05*h)
-        cv2.rectangle(img, (x+pad_w, y+pad_h), (x+w-pad_w, y+h-pad_h), (0, 255, 0), thickness)
+        cv.rectangle(img, (x+pad_w, y+pad_h), (x+w-pad_w, y+h-pad_h), (0, 255, 0), thickness)
 
 
 if __name__ == '__main__':
@@ -37,15 +37,15 @@ if __name__ == '__main__':
 
     print(__doc__)
 
-    hog = cv2.HOGDescriptor()
-    hog.setSVMDetector( cv2.HOGDescriptor_getDefaultPeopleDetector() )
+    hog = cv.HOGDescriptor()
+    hog.setSVMDetector( cv.HOGDescriptor_getDefaultPeopleDetector() )
 
     default = ['../data/basketball2.png '] if len(sys.argv[1:]) == 0 else []
 
     for fn in it.chain(*map(glob, default + sys.argv[1:])):
         print(fn, ' - ',)
         try:
-            img = cv2.imread(fn)
+            img = cv.imread(fn)
             if img is None:
                 print('Failed to load image file:', fn)
                 continue
@@ -64,8 +64,8 @@ if __name__ == '__main__':
         draw_detections(img, found)
         draw_detections(img, found_filtered, 3)
         print('%d (%d) found' % (len(found_filtered), len(found)))
-        cv2.imshow('img', img)
-        ch = cv2.waitKey()
+        cv.imshow('img', img)
+        ch = cv.waitKey()
         if ch == 27:
             break
-    cv2.destroyAllWindows()
+    cv.destroyAllWindows()