Deleted all trailing whitespace.

samples/python2/dft.py

@@ -8,51 +8,51 @@ import sys
 def shift_dft(src, dst=None):
     '''
         Rearrange the quadrants of Fourier image so that the origin is at
-        the image center. Swaps quadrant 1 with 3, and 2 with 4. 
-       
+        the image center. Swaps quadrant 1 with 3, and 2 with 4.
+
         src and dst arrays must be equal size & type
     '''
-    
+
     if dst is None:
         dst = np.empty(src.shape, src.dtype)
     elif src.shape != dst.shape:
         raise ValueError("src and dst must have equal sizes")
     elif src.dtype != dst.dtype:
         raise TypeError("src and dst must have equal types")
-    
+
     if src is dst:
         ret = np.empty(src.shape, src.dtype)
     else:
         ret = dst
-    
+
     h, w = src.shape[:2]
-    
+
     cx1 = cx2 = w/2
     cy1 = cy2 = h/2
-    
+
     # if the size is odd, then adjust the bottom/right quadrants
     if w % 2 != 0:
         cx2 += 1
     if h % 2 != 0:
-        cy2 += 1 
-        
+        cy2 += 1
+
     # swap quadrants
-    
+
     # swap q1 and q3
     ret[h-cy1:, w-cx1:] = src[0:cy1 , 0:cx1 ]   # q1 -> q3
     ret[0:cy2 , 0:cx2 ] = src[h-cy2:, w-cx2:]   # q3 -> q1
-    
+
     # swap q2 and q4
     ret[0:cy2 , w-cx2:] = src[h-cy2:, 0:cx2 ]   # q2 -> q4
     ret[h-cy1:, 0:cx1 ] = src[0:cy1 , w-cx1:]   # q4 -> q2
-    
+
     if src is dst:
         dst[:,:] = ret
-    
+
     return dst
 
 if __name__ == "__main__":
-        
+
     if len(sys.argv)>1:
         im = cv2.imread(sys.argv[1])
     else :
@@ -62,9 +62,9 @@ if __name__ == "__main__":
     # convert to grayscale
     im = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
     h, w = im.shape[:2]
-    
+
     realInput = im.astype(np.float64)
-    
+
     # perform an optimally sized dft
     dft_M = cv2.getOptimalDFTSize(w)
     dft_N = cv2.getOptimalDFTSize(h)
@@ -72,22 +72,22 @@ if __name__ == "__main__":
     # copy A to dft_A and pad dft_A with zeros
     dft_A = np.zeros((dft_N, dft_M, 2), dtype=np.float64)
     dft_A[:h, :w, 0] = realInput
-    
+
     # no need to pad bottom part of dft_A with zeros because of
     # use of nonzeroRows parameter in cv2.dft()
     cv2.dft(dft_A, dst=dft_A, nonzeroRows=h)
-    
+
     cv2.imshow("win", im)
-    
+
     # Split fourier into real and imaginary parts
     image_Re, image_Im = cv2.split(dft_A)
-    
+
     # Compute the magnitude of the spectrum Mag = sqrt(Re^2 + Im^2)
     magnitude = cv2.sqrt(image_Re**2.0 + image_Im**2.0)
-    
+
     # Compute log(1 + Mag)
     log_spectrum = cv2.log(1.0 + magnitude)
-    
+
     # Rearrange the quadrants of Fourier image so that the origin is at
     # the image center
     shift_dft(log_spectrum, log_spectrum)

samples/python2/grabcut.py

@@ -8,12 +8,12 @@ This sample shows interactive image segmentation using grabcut algorithm.
 USAGE :
     python grabcut.py <filename>
 
-README FIRST:    
+README FIRST:
     Two windows will show up, one for input and one for output.
-    
-    At first, in input window, draw a rectangle around the object using 
+
+    At first, in input window, draw a rectangle around the object using
 mouse right button. Then press 'n' to segment the object (once or a few times)
-For any finer touch-ups, you can press any of the keys below and draw lines on 
+For any finer touch-ups, you can press any of the keys below and draw lines on
 the areas you want. Then again press 'n' for updating the output.
 
 Key '0' - To select areas of sure background
@@ -53,7 +53,7 @@ thickness = 3           # brush thickness
 
 def onmouse(event,x,y,flags,param):
     global img,img2,drawing,value,mask,rectangle,rect,rect_or_mask,ix,iy,rect_over
-    
+
     # Draw Rectangle
     if event == cv2.EVENT_RBUTTONDOWN:
         rectangle = True
@@ -73,9 +73,9 @@ def onmouse(event,x,y,flags,param):
         rect = (ix,iy,abs(ix-x),abs(iy-y))
         rect_or_mask = 0
         print " Now press the key 'n' a few times until no further change \n"
-        
+
     # draw touchup curves
-    
+
     if event == cv2.EVENT_LBUTTONDOWN:
         if rect_over == False:
             print "first draw rectangle \n"
@@ -94,7 +94,7 @@ def onmouse(event,x,y,flags,param):
             drawing = False
             cv2.circle(img,(x,y),thickness,value['color'],-1)
             cv2.circle(mask,(x,y),thickness,value['val'],-1)
-        
+
 # print documentation
 print __doc__
 
@@ -125,7 +125,7 @@ while(1):
     cv2.imshow('output',output)
     cv2.imshow('input',img)
     k = 0xFF & cv2.waitKey(1)
-    
+
     # key bindings
     if k == 27:         # esc to exit
         break
@@ -147,11 +147,11 @@ while(1):
     elif k == ord('r'): # reset everything
         print "resetting \n"
         rect = (0,0,1,1)
-        drawing = False         
-        rectangle = False       
-        rect_or_mask = 100 
-        rect_over = False     
-        value = DRAW_FG         
+        drawing = False
+        rectangle = False
+        rect_or_mask = 100
+        rect_over = False
+        value = DRAW_FG
         img = img2.copy()
         mask = np.zeros(img.shape[:2],dtype = np.uint8) # mask initialized to PR_BG
         output = np.zeros(img.shape,np.uint8)           # output image to be shown
@@ -160,15 +160,15 @@ while(1):
         and again press 'n' \n"""
         if (rect_or_mask == 0):         # grabcut with rect
             bgdmodel = np.zeros((1,65),np.float64)
-            fgdmodel = np.zeros((1,65),np.float64)    
+            fgdmodel = np.zeros((1,65),np.float64)
             cv2.grabCut(img2,mask,rect,bgdmodel,fgdmodel,1,cv2.GC_INIT_WITH_RECT)
             rect_or_mask = 1
         elif rect_or_mask == 1:         # grabcut with mask
             bgdmodel = np.zeros((1,65),np.float64)
-            fgdmodel = np.zeros((1,65),np.float64) 
+            fgdmodel = np.zeros((1,65),np.float64)
             cv2.grabCut(img2,mask,rect,bgdmodel,fgdmodel,1,cv2.GC_INIT_WITH_MASK)
 
     mask2 = np.where((mask==1) + (mask==3),255,0).astype('uint8')
-    output = cv2.bitwise_and(img2,img2,mask=mask2)   
+    output = cv2.bitwise_and(img2,img2,mask=mask2)
 
 cv2.destroyAllWindows()