Python imutils.face_utils.FACIAL_LANDMARKS_IDXS Examples

The following are 2 code examples of imutils.face_utils.FACIAL_LANDMARKS_IDXS(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module imutils.face_utils , or try the search function .
Example #1
Source File: liveness.py    From libfaceid with MIT License 5 votes vote down vote up 
def __init__(self, path):
        import dlib # lazy loading
        # use dlib 68-point facial landmark
        self._detector = dlib.shape_predictor(path + 'shape_predictor_68_face_landmarks.dat')
        (self._leye_start, self._leye_end) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
        (self._reye_start, self._reye_end) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]
        try:
            (self._mouth_start, self._mouth_end) = face_utils.FACIAL_LANDMARKS_IDXS["inner_mouth"]
        except:
            (self._mouth_start, self._mouth_end) = (60, 68)
Example #2
Source File: rec-feat.py    From Facial-Recognition-using-Facenet with MIT License 5 votes vote down vote up 
def recognize():
    database = initialize()
    cap = cv2.VideoCapture(0)
    (lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
    (rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]
    while True:
        ret, img = cap.read()
        img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        subjects = detector(gray, 0)
        for subject in subjects:
            shape = predictor(gray, subject)
            shape = face_utils.shape_to_np(shape)  # converting to NumPy Array
            leftEye = shape[lStart:lEnd]
            rightEye = shape[rStart:rEnd]
            leftEAR = eye_aspect_ratio(leftEye)
            rightEAR = eye_aspect_ratio(rightEye)
            ear = (leftEAR + rightEAR) / 2.0
            leftEyeHull = cv2.convexHull(leftEye)
            rightEyeHull = cv2.convexHull(rightEye)
            cv2.drawContours(img, [leftEyeHull], -1, (0, 255, 0), 1)
            cv2.drawContours(img, [rightEyeHull], -1, (0, 255, 0), 1)
            extract_face_info(img, img_rgb, database,ear)
        cv2.imshow('Recognizing faces', img)
        if cv2.waitKey(1) == ord('q'):
            break

    cap.release()
    cv2.destroyAllWindows()