lk_track.py description

samples/python2/_coverage.py

@@ -11,6 +11,9 @@ for fn in glob('*.py'):
     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)))
 
 r = 1.0 * len(cv2_used) / len(cv2_callable)
 print '\ncv2 api coverage: %d / %d  (%.1f%%)' % ( len(cv2_used), len(cv2_callable), r*100 )

samples/python2/lk_track.py

@@ -1,16 +1,27 @@
+'''
+Lucas-Kanade tracker
+====================
+
+Lucas-Kanade sparse optical flow demo. Uses goodFeaturesToTrack
+for track initialization and back-tracking for match verification
+between frames.
+
+Usage
+-----
+lk_track.py [<video_source>]
+
+
+Keys
+----
+ESC - exit
+'''
+
 import numpy as np
 import cv2
 import video
 from common import anorm2, draw_str
 from time import clock
 
-help_message = '''
-USAGE: lk_track.py [<video_source>]
-
-Keys:
-  SPACE - reset features
-'''
-
 lk_params = dict( winSize  = (15, 15), 
                   maxLevel = 2, 
                   criteria = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 0.03),
@@ -79,7 +90,7 @@ def main():
     try: video_src = sys.argv[1]
     except: video_src = 0
 
-    print help_message
+    print __doc__
     App(video_src).run()
 
 if __name__ == '__main__':