Python 如何在三秒钟内检测到闭着的眼睛？

我发现了脸、眼睛、眼睛等部位。正常情况下，我可以看到脸、眼睛区域和两只眼睛。当我看到脸的时候，眼睛区域却看不到两只眼睛，那个时候检测到眼睛是闭着的。现在，我想检测眼睛何时闭上三秒。有人可以给我一个解决方案。我尝试使用time.sleep（）函数，但它不起作用。它使视频流进程停止

cas_path = os.getcwd()
eye_path = os.getcwd()
two_eyes_path = os.getcwd()

cas_path += "/haarcascade_frontalface_alt.xml"
eye_path += "/haarcascade_mcs_eyepair_big.xml"
two_eyes_path += "/haarcascade_eye.xml"


faceCascade = cv2.CascadeClassifier(cas_path)
eyesCascade = cv2.CascadeClassifier(eye_path)
twoeyesCascade = cv2.CascadeClassifier(two_eyes_path)

class VideoCamera(object):

    def __init__(self):

    self.status = "Sharing ?"
    self._image = np.zeros((100,200))
    self.video = cv2.VideoCapture(0)
    (self.video).set(3, 200)
    (self.video).set(4, 160)
    #success, self._image = self.video.read()
    # If you decide to use video.mp4, you must have this file in the folder
    # as the main.py.
    # self.video = cv2.VideoCapture('video.mp4')

def __del__(self):
    self.video.release()
def get_frame(self):
    global s
    s = ''
    global string
    string = ''
    success, image = self.video.read()
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor=1.3,
        minNeighbors=5,
        minSize=(30, 30),
        flags=cv2.cv.CV_HAAR_SCALE_IMAGE
    )


    count  = 0

    for (x, y, w, h) in faces:
        cv2.rectangle(image, (x, y), (x + w, y + h), (255, 255, 0), 2)          
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = image[y:y+h, x:x+w]
        eyes = eyesCascade.detectMultiScale(roi_gray)
        if eyes is not():
            for (ex,ey,ew,eh) in eyes:
                cv2.rectangle(roi_color,(ex -10 ,ey - 10),(ex+ew + 10,ey+eh + 10),(0,255,0),2)
                twoeyes = twoeyesCascade.detectMultiScale(roi_gray)
                firsttime = 1
                if twoeyes is not():
                    for (exx,eyy,eww,ehh) in twoeyes:
                        cv2.rectangle(roi_color,(exx-5 ,eyy -5  ),(exx+eww -5,eyy+ehh -5 ),(0,0, 255),2)


    ret, jpeg = cv2.imencode('.jpg', image)
    self.string = jpeg.tostring()
    self._image = image
    return jpeg.tostring()
def GetBw(self):
    image = self._image
    ret, jpeg = cv2.imencode('.jpg', image)
    self.string = jpeg.tostring()
    return jpeg.tostring()

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您将需要为此特定应用程序使用计时器。sleep（）基本上只是停止程序，它不跟踪时间。这应该适用于您想要的：

closed = False
timer = 0
if detect(eyes_closed) and not closed:
   timer = time.time()
   closed = True
else if closed:
    if time.time() - timer > 3000:
        print "Eyes have been closed for 3 seconds!"
else:
    closed = False

我在OpenCV中没有做太多的工作，所以我只是假设detect（eyes_closed）检测到一组闭着的眼睛，您必须自己更正。

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如果检测到眼睛闭了3秒钟，将打印一条消息

问题是？你能帮我检测一下闭着的眼睛三秒钟吗？你试过什么？你的具体问题是什么？“请为我编码X！”只会给你带来下行票。这是我第一次使用stackoverflow。如果我的问题让您不高兴，我真的很抱歉。我已经尝试使用函数time.sleep（），但它会使进程视频流停止。这是我根据您的想法编写的代码。closed=False timer=0如果twoeyes不是（）：对于twoeyes中的（exx，eyy，eww，ehh）：cv2.矩形（roi_颜色，（exx-5，eyy-5），（exx+eww-5，eyy+ehh-5），（0255255），2）elif twoeyes是（）且未关闭：timer=time.time（）打印计时器关闭=真elif未关闭（）：打印str（time.time（）-timer）如果time.time（）-timer>3000:print“眼睛已经闭了3秒！”否则：closed=False，但它在“elif closed is not（）”中不工作：