added _doc.py -- doc-string ckecking utility

added some sample description

samples/python2/_coverage.py

@@ -1,24 +1,29 @@
+'''
+Utility for measuring python opencv API coverage by samples.
+'''
+
 from glob import glob
 import cv2
 import re
 
-cv2_callable = set(['cv2.'+name for name in dir(cv2) if callable( getattr(cv2, name) )])
+if __name__ == '__main__':
+    cv2_callable = set(['cv2.'+name for name in dir(cv2) if callable( getattr(cv2, name) )])
 
-found = set()
-for fn in glob('*.py'):
-    print ' --- ', fn
-    code = open(fn).read()
-    found |= set(re.findall('cv2?\.\w+', code))
+    found = set()
+    for fn in glob('*.py'):
+        print ' --- ', fn
+        code = open(fn).read()
+        found |= set(re.findall('cv2?\.\w+', code))
 
-cv2_used = found & cv2_callable
-cv2_unused = cv2_callable - cv2_used
-with open('unused_api.txt', 'w') as f:
-    f.write('\n'.join(sorted(cv2_unused)))
+    cv2_used = found & cv2_callable
+    cv2_unused = cv2_callable - cv2_used
+    with open('unused_api.txt', 'w') as f:
+        f.write('\n'.join(sorted(cv2_unused)))
 
-r = 1.0 * len(cv2_used) / len(cv2_callable)
-print '\ncv2 api coverage: %d / %d  (%.1f%%)' % ( len(cv2_used), len(cv2_callable), r*100 )
+    r = 1.0 * len(cv2_used) / len(cv2_callable)
+    print '\ncv2 api coverage: %d / %d  (%.1f%%)' % ( len(cv2_used), len(cv2_callable), r*100 )
 
-print '\nold (cv) symbols:'
-for s in found:
-    if s.startswith('cv.'):
-        print s
+    print '\nold (cv) symbols:'
+    for s in found:
+        if s.startswith('cv.'):
+            print s

samples/python2/_doc.py

@@ -0,0 +1,14 @@
+'''
+Scans current directory for *.py files and reports
+ones with missing __doc__ string.
+'''
+
+from glob import glob
+
+if __name__ == '__main__':
+    print '--- undocumented files:'
+    for fn in glob('*.py'):
+        loc = {}
+        execfile(fn, loc)
+        if '__doc__' not in loc:
+            print fn

samples/python2/common.py

@@ -1,3 +1,7 @@
+'''
+This module contais some common routines used by other samples.
+'''
+
 import numpy as np
 import cv2
 import os

samples/python2/demo.py

@@ -1,3 +1,7 @@
+'''
+Sample-launcher application.
+'''
+
 import Tkinter as tk
 from ScrolledText import ScrolledText
 from glob import glob

samples/python2/distrans.py

@@ -1,20 +1,25 @@
-import numpy as np
-import cv2
-import cv2.cv as cv
-from common import make_cmap
+'''
+Distance transform sample.
 
-help_message = '''USAGE: distrans.py [<image>]
+Usage: 
+  distrans.py [<image>]
 
 Keys:
   ESC   - exit
   v     - toggle voronoi mode
 '''
 
+
+import numpy as np
+import cv2
+import cv2.cv as cv
+from common import make_cmap
+
 if __name__ == '__main__':
     import sys
     try: fn = sys.argv[1]
     except: fn = '../cpp/fruits.jpg'
-    print help_message
+    print __doc__
 
     img = cv2.imread(fn, 0)
     cm = make_cmap('jet')

samples/python2/floodfill.py

@@ -1,9 +1,10 @@
-import numpy as np
-import cv2
+'''
+Floodfill sample.
 
-help_message = '''USAGE: floodfill.py [<image>]
+Usage: 
+  floodfill.py [<image>]
 
-Click on the image to set seed point
+  Click on the image to set seed point
 
 Keys:
   f     - toggle floating range
@@ -11,11 +12,14 @@ Keys:
   ESC   - exit
 '''
 
+import numpy as np
+import cv2
+
 if __name__ == '__main__':
     import sys
     try: fn = sys.argv[1]
     except: fn = '../cpp/fruits.jpg'
-    print help_message
+    print __doc__
 
     img = cv2.imread(fn, True)
     h, w = img.shape[:2]

samples/python2/inpaint.py

@@ -1,8 +1,11 @@
-import numpy as np
-import cv2
-from common import Sketcher
+'''
+Inpainting sample.
+
+Inpainting repairs damage to images by floodfilling 
+the damage with surrounding image areas.
 
-help_message = '''USAGE: inpaint.py [<image>]
+Usage: 
+  inpaint.py [<image>]
 
 Keys:
   SPACE - inpaint
@@ -10,11 +13,15 @@ Keys:
   ESC   - exit
 '''
 
+import numpy as np
+import cv2
+from common import Sketcher
+
 if __name__ == '__main__':
     import sys
     try: fn = sys.argv[1]
     except: fn = '../cpp/fruits.jpg'
-    print help_message
+    print __doc__
 
     img = cv2.imread(fn)
     img_mark = img.copy()

samples/python2/morphology.py

@@ -1,8 +1,22 @@
+'''
+Morphology operations.
+
+Usage:
+  morphology.py [<image>]
+
+Keys:
+  1   - change operation
+  2   - change structure element shape
+  ESC - exit
+'''
+
 import numpy as np
 import cv2
 
 
 if __name__ == '__main__':
+    print __doc__
+
     import sys
     from itertools import cycle
     from common import draw_str
@@ -44,10 +58,6 @@ if __name__ == '__main__':
     cv2.createTrackbar('op/size', 'morphology', 12, 20, update)
     cv2.createTrackbar('iters', 'morphology', 1, 10, update)
     update()
-    print "Controls:"
-    print "  1 - change operation"
-    print "  2 - change structure element shape"
-    print
     while True:
         ch = 0xFF & cv2.waitKey()
         if ch == 27:

samples/python2/squares.py

@@ -1,3 +1,9 @@
+'''
+Simple "Square Detector" program.
+
+Loads several images sequentially and tries to find squares in each image.
+'''
+
 import numpy as np
 import cv2