drowsy_final.py

import sys
sys.path.append(r'C:\Users\Sansk\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.12_qbz5n2kfra8p0\LocalCache\local-packages\Python312\site-packages')

import cv2
import dlib
import numpy as np
from imutils.video import VideoStream
from imutils import face_utils
from scipy.spatial import distance as dist
from threading import Thread
import argparse
import imutils
import time
import pyttsx3

engine = pyttsx3.init()

def alarm(msg):
    # Say the message using pyttsx3
    engine.say(msg)
    engine.runAndWait()

def eye_aspect_ratio(eye):
    A = dist.euclidean(eye[1], eye[5])
    B = dist.euclidean(eye[2], eye[4])
    C = dist.euclidean(eye[0], eye[3])
    ear = (A + B) / (2.0 * C)
    return ear

def final_ear(shape):
    (lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
    (rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]
    leftEye = shape[lStart:lEnd]
    rightEye = shape[rStart:rEnd]
    leftEAR = eye_aspect_ratio(leftEye)
    rightEAR = eye_aspect_ratio(rightEye)
    ear = (leftEAR + rightEAR) / 2.0
    return (ear, leftEye, rightEye)

def lip_distance(shape):
    top_lip = shape[50:53]
    top_lip = np.concatenate((top_lip, shape[61:64]))
    low_lip = shape[56:59]
    low_lip = np.concatenate((low_lip, shape[65:68]))
    top_mean = np.mean(top_lip, axis=0)
    low_mean = np.mean(low_lip, axis=0)
    distance = abs(top_mean[1] - low_mean[1])
    return distance

ap = argparse.ArgumentParser()
ap.add_argument("-w", "--webcam", type=int, default=0, help="index of webcam on system")
args = vars(ap.parse_args())

EYE_AR_THRESH = 0.17
EYE_AR_CONSEC_FRAMES = 10
YAWN_THRESH = 50
alarm_status = False
alarm_status2 = False
saying = False
COUNTER = 0

print("-> Loading the predictor and detector...")
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(r'Drowsiness_detect_final\shape_predictor_68_face_landmarks (1).dat')

print("-> Starting Video Stream")
vs = VideoStream(src=args["webcam"]).start()
time.sleep(1.0)

while True:
    frame = vs.read()
    frame = imutils.resize(frame, width=1000)
    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)

        eye = final_ear(shape)
        ear = eye[0]
        distance = lip_distance(shape)

        if ear < EYE_AR_THRESH:
            COUNTER += 1
            if COUNTER >= EYE_AR_CONSEC_FRAMES:
                if not alarm_status:
                    alarm_status = True
                    t = Thread(target=alarm, args=('Hey Man, Wake up',))
                    t.daemon = True
                    t.start()
                cv2.putText(frame, "DROWSINESS ALERT!", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
        else:
            COUNTER = 0
            alarm_status = False

        if distance > YAWN_THRESH:
            cv2.putText(frame, "Yawn Alert", (10, 60), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
            if not alarm_status2 and not saying:
                alarm_status2 = True
                t = Thread(target=alarm, args=('Sir Please take some fresh air ',))
                t.daemon = True
                t.start()
        else:
            alarm_status2 = False

        cv2.putText(frame, "EAR: {:.2f}".format(ear), (300, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
        cv2.putText(frame, "YAWN: {:.2f}".format(distance), (300, 60), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)

    cv2.imshow("Frame", frame)
    key = cv2.waitKey(1) & 0xFF

    if key == ord("q"):
        break

cv2.destroyAllWindows()
vs.stop()