War on Whitespace, master edition: trailing spaces.

samples/python2/asift.py

@@ -119,19 +119,19 @@ if __name__ == '__main__':
     img1 = cv2.imread(fn1, 0)
     img2 = cv2.imread(fn2, 0)
     detector, matcher = init_feature(feature_name)
-    
+
     if img1 is None:
         print 'Failed to load fn1:', fn1
         sys.exit(1)
-        
+
     if img2 is None:
         print 'Failed to load fn2:', fn2
         sys.exit(1)
-    
+
     if detector is None:
         print 'unknown feature:', feature_name
         sys.exit(1)
-        
+
     print 'using', feature_name
 
     pool=ThreadPool(processes = cv2.getNumberOfCPUs())

samples/python2/camshift.py

@@ -102,7 +102,7 @@ class App(object):
                     vis[:] = prob[...,np.newaxis]
                 try:
                     cv2.ellipse(vis, track_box, (0, 0, 255), 2)
-                except: 
+                except:
                     print track_box
 
             cv2.imshow('camshift', vis)
@@ -119,7 +119,7 @@ if __name__ == '__main__':
     import sys
     try:
         video_src = sys.argv[1]
-    except: 
+    except:
         video_src = 0
     print __doc__
     App(video_src).run()

samples/python2/coherence.py

@@ -40,9 +40,9 @@ def coherence_filter(img, sigma = 11, str_sigma = 11, blend = 0.5, iter_n = 4):
 
 if __name__ == '__main__':
     import sys
-    try: 
+    try:
         fn = sys.argv[1]
-    except: 
+    except:
         fn = '../cpp/baboon.jpg'
 
     src = cv2.imread(fn)

samples/python2/demo.py

@@ -141,7 +141,7 @@ class App:
         count = tk.IntVar()
         while True:
             match_index = text.search(pattern, 'matchPos', count=count, regexp=regexp, stopindex='end')
-            if not match_index: 
+            if not match_index:
                 break
             end_index = text.index( "%s+%sc" % (match_index, count.get()) )
             text.mark_set('matchPos', end_index)

samples/python2/find_obj.py

@@ -143,15 +143,15 @@ if __name__ == '__main__':
     if img1 is None:
         print 'Failed to load fn1:', fn1
         sys.exit(1)
-        
+
     if img2 is None:
         print 'Failed to load fn2:', fn2
         sys.exit(1)
-    
+
     if detector is None:
         print 'unknown feature:', feature_name
         sys.exit(1)
-    
+
     print 'using', feature_name
 
     kp1, desc1 = detector.detectAndCompute(img1, None)

samples/python2/gabor_threads.py

@@ -51,14 +51,14 @@ if __name__ == '__main__':
     print __doc__
     try:
         img_fn = sys.argv[1]
-    except: 
+    except:
         img_fn = '../cpp/baboon.jpg'
 
     img = cv2.imread(img_fn)
     if img is None:
         print 'Failed to load image file:', img_fn
         sys.exit(1)
-    
+
     filters = build_filters()
 
     with Timer('running single-threaded'):

samples/python2/hist.py

@@ -61,7 +61,7 @@ if __name__ == '__main__':
         print "usage : python hist.py <image_file>"
 
     im = cv2.imread(fname)
-    
+
     if im is None:
         print 'Failed to load image file:', fname
         sys.exit(1)

samples/python2/houghcircles.py

@@ -2,7 +2,7 @@
 
 '''
 This example illustrates how to use cv2.HoughCircles() function.
-Usage: ./houghcircles.py [<image_name>] 
+Usage: ./houghcircles.py [<image_name>]
 image argument defaults to ../cpp/board.jpg
 '''
 

samples/python2/inpaint.py

@@ -23,16 +23,16 @@ if __name__ == '__main__':
     import sys
     try:
         fn = sys.argv[1]
-    except: 
+    except:
         fn = '../cpp/fruits.jpg'
-        
+
     print __doc__
 
     img = cv2.imread(fn)
     if img is None:
         print 'Failed to load image file:', fn
         sys.exit(1)
-        
+
     img_mark = img.copy()
     mark = np.zeros(img.shape[:2], np.uint8)
     sketch = Sketcher('img', [img_mark, mark], lambda : ((255, 255, 255), 255))

samples/python2/morphology.py

@@ -27,13 +27,13 @@ if __name__ == '__main__':
         fn = sys.argv[1]
     except:
         fn = '../cpp/baboon.jpg'
-    
+
     img = cv2.imread(fn)
-    
+
     if img is None:
         print 'Failed to load image file:', fn
         sys.exit(1)
-    
+
     cv2.imshow('original', img)
 
     modes = cycle(['erode/dilate', 'open/close', 'blackhat/tophat', 'gradient'])