基于OpenCV的疲劳检测

Question

我一直在开发用于睡意检测的OpenCV代码。我得到以下错误-

VIDEOIO ERROR: V4L: can't open camera by index 0
Traceback (most recent call last):
  File "src_code_modif.py", line 67, in <module>
    frame = imutils.resize(frame, width=450)
  File "/usr/local/lib/python3.5/dist-packages/imutils/convenience.py", line 69, in resize
    (h, w) = image.shape[:2]

你能给我带路吗？ 这是密码-

# start the video stream thread
print("[INFO] starting video stream thread...")
vs = VideoStream(src=args["webcam"]).start()
time.sleep(1.0)

# loop over frames from the video stream
while True:
    # grab the frame from the threaded video file stream, resize
    # it, and convert it to grayscale
    # channels)
    frame = vs.read()
    frame = imutils.resize(frame, width=450)
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # detect faces in the grayscale frame
    rects = detector(gray, 0)

    # loop over the face detections
    for rect in rects:
        # determine the facial landmarks for the face region, then
        # convert the facial landmark (x, y)-coordinates to a NumPy
        # array
        shape = predictor(gray, rect)
        shape = face_utils.shape_to_np(shape)

        # extract the left and right eye coordinates, then use the
        # coordinates to compute the eye aspect ratio for both eyes
        leftEye = shape[lStart:lEnd]
        rightEye = shape[rStart:rEnd]
        leftEAR = eye_aspect_ratio(leftEye)
        rightEAR = eye_aspect_ratio(rightEye)

    # average the eye aspect ratio together for both eyes
    ear = (leftEAR + rightEAR) / 2.0

    # compute the convex hull for the left and right eye, then
    # visualize each of the eyes
    leftEyeHull = cv2.convexHull(leftEye)
    rightEyeHull = cv2.convexHull(rightEye)
    cv2.drawContours(frame, [leftEyeHull], -1, (0, 255, 0), 1)
    cv2.drawContours(frame, [rightEyeHull], -1, (0, 255, 0), 1)