svn repository web references are replaced with links to git

samples/python/fitellipse.py

@@ -27,12 +27,12 @@ class FitEllipse:
         cv.CreateTrackbar("Threshold", "Result", slider_pos, 255, self.process_image)
         self.process_image(slider_pos)
 
-    def process_image(self, slider_pos): 
+    def process_image(self, slider_pos):
         """
         This function finds contours, draws them and their approximation by ellipses.
         """
         stor = cv.CreateMemStorage()
-        
+
         # Create the destination images
         image02 = cv.CloneImage(self.source_image)
         cv.Zero(image02)
@@ -56,18 +56,18 @@ class FitEllipse:
                 PointArray2D32f = cv.CreateMat(1, len(c), cv.CV_32FC2)
                 for (i, (x, y)) in enumerate(c):
                     PointArray2D32f[0, i] = (x, y)
-                
+
                 # Draw the current contour in gray
                 gray = cv.CV_RGB(100, 100, 100)
                 cv.DrawContours(image04, c, gray, gray,0,1,8,(0,0))
-                
+
                 # Fits ellipse to current contour.
                 (center, size, angle) = cv.FitEllipse2(PointArray2D32f)
-                
+
                 # Convert ellipse data from float to integer representation.
                 center = (cv.Round(center[0]), cv.Round(center[1]))
                 size = (cv.Round(size[0] * 0.5), cv.Round(size[1] * 0.5))
-                
+
                 # Draw ellipse in random color
                 color = cv.CV_RGB(random.randrange(256),random.randrange(256),random.randrange(256))
                 cv.Ellipse(image04, center, size,
@@ -82,12 +82,12 @@ if __name__ == '__main__':
     if len(sys.argv) > 1:
         source_image = cv.LoadImage(sys.argv[1], cv.CV_LOAD_IMAGE_GRAYSCALE)
     else:
-        url = 'http://code.opencv.org/svn/opencv/trunk/opencv/samples/c/stuff.jpg'
+        url = 'http://code.opencv.org/projects/opencv/repository/revisions/master/raw/samples/c/stuff.jpg'
         filedata = urllib2.urlopen(url).read()
         imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
         cv.SetData(imagefiledata, filedata, len(filedata))
         source_image = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_GRAYSCALE)
-    
+
     # Create windows.
     cv.NamedWindow("Source", 1)
     cv.NamedWindow("Result", 1)