I need help for my algorithm, my program use opencv and python as language. So i need help from stackoverflow

Question

currently, right now I'm doing the final project. But I'm at the dead-end because I don't know what to do anymore.

def draw_boundary(img, classifier, ScaleFactor, minNeighbors, color, text, clf):
        gray_image = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
        features = classifier.detectMultiScale(gray_image, ScaleFactor, minNeighbors)

        coords = []

        for(x,y,w,h) in features:
            cv.rectangle(img, (x,y), (x+w, y+h), color, 2)
            id, pred = clf.predict(gray_image[y:y+h, x:x+w])
            confidence = int(100*(1-pred/300))

            if confidence > 80:
                if id == 1:
                    cv.putText(img,c_name + ": Match",(x, y-5), 
                        cv.FONT_HERSHEY_SIMPLEX, 0.8, color, 1, cv.LINE_AA)
            else:
                cv.putText(img,"UNKNOWNS",(x, y-5), 
                    cv.FONT_HERSHEY_SIMPLEX, 0.8, (0, 0, 255), 1, cv.LINE_AA)
            break

            coords = [x,y,w,h]
        return coords

    def recognize(img, clf, faceCascade):
        coords = draw_boundary(img, faceCascade, 1.1, 10, (255, 255, 255), "Face", clf)
        return img

    while True:
        ret, img = video_capture.read()
        img = recognize(img, clf, faceCascade)
        cv.imshow("face detection", img)

        wk = cv.waitKey(1)

        if wk == 13:
            break

I want my code to close that when the image or in this case face is matched, the widow closes automatically without using waitkey. and also this is my first time asking people on StackOverflow, so can I have some of your programmer's knowledge for my question?

Answer 1

You have set waitKey(1) which means the window will close after 1ms. If you want it to be displayed infinitely, use waitKey(0) which will display the window until a key is pressed. If you want your window to be displayed for 13 seconds, use waitKey(13000).