Question

我正在制作一个项目，需要从摄像头中数出手指。我尝试实现以下代码，但在启动第一帧后每次都停止响应并且控制台输出以下提到的错误时，出现错误。如何解决此错误和警告？

#libraries included are numpy, cv2, pairwise    
background= None
accumulated_weight= 0.5
roi_top=30
roi_bottom= 300
roi_left= 600
roi_right= 300

#function to find average background value
def calc_accum_avg(frame, accumulated_weight):
    global background
    if background is None:
        background= frame.copy().astype('float')

    cv2.accumulateWeighted(frame, background, accumulated_weight)    


#Segmenting the contour
def segment(frame, threshold_min=25):
    diff= cv2.absdiff(background.astype('uint8'), frame)
    ret, thresholded= cv2.threshold(diff, threshold_min, 255, cv2.THRESH_BINARY)
    contours, hierarchy= cv2.findContours(thresholded.copy(),cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    if len(contours) ==0:
        return None

    else:
        #Assuming that the biggest contour in  ROI(Region of Interest) is Hand itself
        hand_segment= max(contours, key= cv2.contourArea)
        return(thresholded, hand_segment)


def count_fingers(thresholded, hand_segment):
    conv_hull= cv2.convexHull(hand_segment)
    top= tuple(conv_hull[conv_hull[:,:,1].argmin()][0])
    bottom= tuple(conv_hull[conv_hull[:,:,1].argmax()][0])
    left= tuple(conv_hull[conv_hull[:,:,0].argmin()][0])
    right= tuple(conv_hull[conv_hull[:,:,0].argmax()][0])      

    cX= (left[0]+ right[0])//2
    cY=(top[1]+ bottom[1])//2
    distance= pairwise.euclidean_distances([cX, cY], Y= [left, right, top, bottom])[0]
    max_distance= distance.max()
    radius= int(0.9*max_distance)
    circumference= (2*np.pi*radius)
    circular_roi= np.zeros(thresholded[:2], dtype= 'uint8')
    cv2.circle(circular_roi, (cX, cY), radius, 255, 10)
    circular_roi= cv2.bitwise_and(thresholded, thresholded, mask= circular_roi)
    contours, hierarchy= cv2.findContours(circular_roi.copy(),cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    count=0

    for cnt in count:
        (x,y, w,h)= cv2.boundingRect(cnt)
        out_of_wrist= (cY+ (cY*0.25))>(y+h)
        limit_points= ((circumference*0.25)> cnt.shape[0])

        if out_of_wrist and limit_points:
            count +=1
    return count       


cam= cv2.VideoCapture(0)
num_frames=0

while True:
        ret, frame= cam.read()
        frame_copy= frame.copy()
        roi= frame[roi_top: roi_bottom, roi_right:roi_left]
        gray= cv2.cvtColor(roi, cv2.COLOR_BGR2GRAY)
        gray= cv2.GaussianBlur(gray,(7,7),0)
        if num_frames<60 :
            calc_accum_avg(gray, accumulated_weight)
            if num_frames<=59:
                cv2.putText(frame_copy, 'WAIT, GETTING BACKGROUND',(200,300), cv2.FONT_HERSHEY_COMPLEX, 1, (0,0,255),2)
                cv2.imshow('Finger Count', frame_copy)

        else:
            hand= segment(gray)
            if hand is not None:
                thresholded, hand_segment= hand
                #Draw contours
                cv2.drawContours(frame_copy, [hand_segment+(roi_right, roi_top)],-1, (255,0,0), 5)
                fingers= count_fingers(thresholded, hand_segment)
                cv2.putText(frame_copy, str(fingers), (70,50), cv2.FONT_HERSHEY_COMPLEX, 1,(0,0,255),2)
                cv2.imshow('Thresholded', thresholded)
        cv2.rectangle(frame_copy, (roi_left, roi_top), (roi_right, roi_bottom), (0,0,255),5)
        num_frames+=1
        cv2.imshow('Finger count', frame_copy)
        k= cv2.waitKey(1) & 0xFF

        if k==27:
            break

cam.release()
cv2.destroyAllWindows()

这是错误。我正在研究Spyder

Answer 1

thresholded是一个ndarray，所以thresholdd [：2]也是如此。如果您要创建一个零数组，其尺寸与thresholdd [：2]相同，则需要的是zeros_like。

即替换

circular_roi= np.zeros(thresholded[:2], dtype= 'uint8')

与

circular_roi= np.zeros_like(thresholded[:2], dtype= 'uint8')

只能将整数标量数组转换为标量索引

1 个答案: