OpenCV+python手势识别框架和实例讲解

# BEGIN ------------------------------------#
V=gesture("V")
V.set_palm((475,225),45)
V.set_finger_pos([(490,90),(415,105)])
V.calc_angles()
dict[V.getname()]=V
# END --------------------------------------#

   =hand_threshold(fg_ ,hand_histogram)
  contour_ =np.copy( )
  contours,hierarchy=cv2.findContours(contour_ ,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
  found,hand_contour=hand_contour_find(contours)
  if(found):
   hand_convex_hull=cv2.convexHull(hand_contour)
    ,hand_center,hand_radius,hand_size_score=mark_hand_center( _original,hand_contour)
   if(hand_size_score):
     ,finger,palm=mark_fingers( ,hand_convex_hull,hand_center,hand_radius)
     ,gesture_found=find_gesture( ,finger,palm)
  else:
    = _original