openCVgui.py 文件源码

def count_fingers(hand_frame):
    hand_frame = cv2.cvtColor(hand_frame,cv2.COLOR_BGR2GRAY)

    # Otsu's thresholding after Gaussian filtering
    hand_frame = cv2.GaussianBlur(hand_frame,(5,5),0)
    ret,mask = cv2.threshold(hand_frame,0,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)

    (cnts,_)=cv2.findContours(mask.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)

    list_far=[]
    list_end=[]
    if cnts:
        areas = [cv2.contourArea(c) for c in cnts]
        max_index = np.argmax(areas)
        cnt=cnts[max_index]

        M = cv2.moments(cnt)
        cx = int(M['m10']/M['m00'])
        cy = int(M['m01']/M['m00'])

        hull1 = cv2.convexHull(cnt)

        hull2 = cv2.convexHull(cnt,returnPoints = False)

        try:
            defects = cv2.convexityDefects(cnt,hull2)
        except Exception, e:
            defects = None
            print e

        counter = 0
        if defects is not None:
            for i in range(defects.shape[0]):
                s,e,f,d = defects[i,0]
                start = tuple(cnt[s][0])
                end = tuple(cnt[e][0])
                far = tuple(cnt[f][0])
                if d<20000:
                    continue

                if far[1] >= (cy+40):
                    continue
                else:
                    pass

                list_far.append(far)
                list_end.append(end)
                counter +=1

    return mask,counter,hull1,(cx,cy),list_far,list_end