detector.py

from scipy.spatial import distance
from imutils.video import VideoStream
from imutils import face_utils
from threading import Thread
import numpy as numpy
import playsound
import argparse
import imutils
import time
import dlib
import cv2


def sound_alarm(path):
    playsound.playsound(path)


def eye_aspect_ratio(eye):
    A = distance.euclidean(eye[1], eye[5])
    B = distance.euclidean(eye[2], eye[4])

    C = distance.euclidean(eye[0], eye[3])

    ear = (A+B)/(2.0 * C)
    return ear


ap = argparse.ArgumentParser()
ap.add_argument("-p", "--shape-predictor",default="shape_predictor_68_face_landmarks.dat",
                help="Path to facial landmark predictor")
ap.add_argument("-a", "--alarm", type=str, default="alarm.wav",
                help="Path to alarm .wav file")
ap.add_argument("-w", "--webcam", type=int, default=0,
                help="index of webcam on system")
args = vars(ap.parse_args())

EYE_AR_THRESHOLD = 0.3
EYE_AR_CONSECUTIVE_FRAMES = 48

COUNTER = 0
ALARM_ON = False

print("[INFO] Loading facial landmark predictor...")
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(args["shape_predictor"])


(lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
(rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]


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

while True:
    frame = vs.read()
    frame = imutils.resize(frame, width=450)
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    rects = detector(gray, 0)
    for rect in rects:
        shape = predictor(gray, rect)
        shape = face_utils.shape_to_np(shape)
        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(frame, [leftEyeHull],-1, (0, 255, 0), 1)
        cv2.drawContours(frame, [rightEyeHull],-1, (0, 255, 0), 1)

        if ear < EYE_AR_THRESHOLD:
            COUNTER += 1
            if COUNTER >= EYE_AR_CONSECUTIVE_FRAMES:
                if not ALARM_ON:
                    ALARM_ON = True
                    if args["alarm"] != "":
                        t = Thread(target=sound_alarm, args=(args["alarm"],))
                        t.deamon = True
                        t.start()

                cv2.putText(frame, "DROWSINESS ALERT", (10, 30),
                            cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
        else:
            COUNTER = 0
            ALARM_ON = False
    cv2.imshow("Frame", frame)
    key = cv2.waitKey(1) & 0xFF

    if key == ord("q"):
        break
cv2.destroyAllWindows()
vs.stop()