OpenCv使用摄像头捕捉人脸

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import cv2 as cv

cap = cv.VideoCapture(0)  # 视频进行读取操作以及调用摄像头
width = 640
ret = cap.set(3, width)
height = 480
ret = cap.set(4, height)

fourcc = cv.VideoWriter_fourcc(*'XVID')

out = cv.VideoWriter('out.avi', fourcc, 20.0, (width, height))


# 2.在每一帧数据中进行人脸识别
while(cap.isOpened()):
    ret, frame = cap.read()
    if ret==True:
        # 把每一帧的图像都变成灰度图
        gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
        # 3.实例化OpenCV人脸识别的分类器
        face_cas = cv.CascadeClassifier( "Libsite-packagescv2datahaarcascade_frontalface_default.xml" )
        face_cas.load('Libsite-packagescv2datahaarcascade_frontalface_default.xml')
        # 4.调用识别人脸
        # 检测gray灰度图中是否有人脸
        faceRects = face_cas.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=3, minSize=(32, 32))
        for faceRect in faceRects:
            # x,y代表人脸的左上角的起点,w代表向x方向延伸的长度,h代表向y方向延伸的长度
            x, y, w, h = faceRect
            # 框出人脸
            cv.rectangle(frame, (x, y), (x + h, y + w),(0,255,0), 2)
        cv.imshow("frame",frame)
        if cv.waitKey(1) & 0xFF == ord('q'):
            break
# 5. 释放资源
cap.release()
cv.destroyAllWindows()