Python-opencv实现红绿两色识别操作

#创建HSV最低滚动条
cv2.createTrackbar('H_min','image',35,180,nothing)
cv2.createTrackbar('S_min','image',43,255,nothing)
cv2.createTrackbar('V_min','image',46,255,nothing)

#创建HSV最高滚动条
cv2.createTrackbar('H_max','image',0,180,nothing)
cv2.createTrackbar('S_max','image',255,255,nothing)
cv2.createTrackbar('V_max','image',255,255,nothing)

contours_green,hierarchy = cv2.findContours(th_green,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
contours_red,hierarchy = cv2.findContours(th_red,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
for red in contours_red:
 x_red,y_red,w_red,h_red = cv2.boundingRect(red)
 if w_red>width|h_red>height:
 cv2.rectangle(img,(x_red,y_red),((x_red+h_red),(y_red+w_red)),(0,255,0),1)
for red in contours_red:
 x_red,y_red,w_red,h_red = cv2.boundingRect(red)
 if w_red>width|h_red>height:
 cv2.rectangle(img,(x_red,y_red),((x_red+h_red),(y_red+w_red)),(0,255,0),1)