driver_drow_rasp_pi_final.py

import cv2
import numpy as np
from keras.models import load_model
import RPi.GPIO as GPIO

GPIO.setmode(GPIO.BCM)
GPIO.setup(17,GPIO.OUT)

face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_eye.xml')
model = load_model(r'C:\Users\susmitha racherla\PycharmProjects\Major\dd-models\model6_data2_ep-40-bs32.h5')

cap = cv2.VideoCapture(0)
Score = 0

while True:
    ret, frame = cap.read()
    height, width = frame.shape[0:2]
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=4)
    eyes = eye_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=2)

    cv2.rectangle(frame, (0, height - 50), (200, height), (0, 0, 0), thickness=cv2.FILLED)

    for (x, y, w, h) in faces:
        cv2.rectangle(frame, pt1=(x, y), pt2=(x + w, y + h), color=(255, 0, 0), thickness=3)

    for (ex, ey, ew, eh) in eyes:
        cv2.rectangle(frame, pt1=(ex, ey), pt2=(ex + ew, ey + eh), color=(255, 0, 0), thickness=3)

        # preprocessing steps
        eye = frame[ey:ey + eh, ex:ex + ew]
        eye = cv2.resize(eye, (80, 80))
        eye = eye / 255
        eye = eye.reshape(80, 80, 3)
        eye = np.expand_dims(eye, axis=0)
        # preprocessing is done now model prediction
        prediction = model.predict(eye)
        print(prediction)
        # if eyes are closed
        if prediction[0][0] > 0.30:
            cv2.putText(frame, 'closed', (10, height - 20), fontFace=cv2.FONT_HERSHEY_COMPLEX_SMALL, fontScale=1,
                        color=(255, 255, 255),
                        thickness=1, lineType=cv2.LINE_AA)
            cv2.putText(frame, 'Score' + str(Score), (100, height - 20), fontFace=cv2.FONT_HERSHEY_COMPLEX_SMALL,
                        fontScale=1, color=(255, 255, 255),
                        thickness=1, lineType=cv2.LINE_AA)
            Score = Score + 1
            print("closed")
            if Score > 6:
                try:
                    GPIO.output(17,True)
                except:
                    pass
        # if eyes are open
        elif prediction[0][1] > 0.70:
            cv2.putText(frame, 'open', (10, height - 20), fontFace=cv2.FONT_HERSHEY_COMPLEX_SMALL, fontScale=1,
                        color=(255, 255, 255),
                        thickness=1, lineType=cv2.LINE_AA)
            cv2.putText(frame, 'Score' + str(Score), (100, height - 20), fontFace=cv2.FONT_HERSHEY_COMPLEX_SMALL,
                        fontScale=1, color=(255, 255, 255),
                        thickness=1, lineType=cv2.LINE_AA)
            Score = 0
            try:
                GPIO.output(17,False)
            except:
                pass
            print("open")

    cv2.imshow('frame', frame)
    if cv2.waitKey(33) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()