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# IMPORTING LIBRARIES
import cv2
import mediapipe as mp

# INITIALIZING OBJECTS
mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp.solutions.drawing_styles
mp_face_mesh = mp.solutions.face_mesh

drawing_spec = mp_drawing.DrawingSpec(thickness=1, circle_radius=1)

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while True:
    # Capture the image from the webcam
    ret, image = cap.read()
    # Convert the image color to grayscale
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    # Detect the face
    rects = detector(gray, 1)
    # Detect landmarks for each face
    for rect in rects:
        # Get the landmark points

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detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor('../shape_predictor_68_face_landmarks.dat')
cap = cv2.VideoCapture(0)

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import cv2
import dlib
import numpy as np

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	    # Get the y rotation degree
            x = angles[0] * 360
            y = angles[1] * 360

            # print(y)

            # See where the user's head tilting
            if y < -10:
                text = "Looking Left"
            elif y > 10:

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	    # Get angles
            angles, mtxR, mtxQ, Qx, Qy, Qz = cv2.RQDecomp3x3(rmat)

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	    # Get rotational matrix
            rmat, jac = cv2.Rodrigues(rot_vec)

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	    # Solve PnP
            success, rot_vec, trans_vec = cv2.solvePnP(face_3d, face_2d, cam_matrix, dist_matrix)

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	    # The Distance Matrix
            dist_matrix = np.zeros((4, 1), dtype=np.float64)

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   	    # The camera matrix
            focal_length = 1 * img_w

            cam_matrix = np.array([ [focal_length, 0, img_h / 2],
                                    [0, focal_length, img_w / 2],
                                    [0, 0, 1]])