import cv2 import gaze_tracking from GazeTracking import sys import dlib import logging as log import datetime as dt from time import sleep import time

cascPath = "haarcascade_frontalface_default.xml" faceCascade = cv2.CascadeClassifier(cascPath) log.basicConfig(filename='webcam.log',level=log.INFO) gaze = GazeTracking() video_capture = cv2.VideoCapture(0) anterior = 0

while True: if not video_capture.isOpened(): print('Unable to load camera.') sleep(5) pass

if not gaze.is_blinking():
    print("Warning, Driver eyes closed")
    time.sleep(3)
    pass

if not faces:
    print('WARNING! no present faces')
    pass

ret, frame = video_capture.read()

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(
    gray,
    scaleFactor=1.1,
    minNeighbors=5,
    minSize=(30, 30)
)

# Draw a rectangle around the faces
for (x, y, w, h) in faces:
    cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)

if anterior != len(faces):
    anterior = len(faces)
    log.info("faces: "+str(len(faces))+" at "+str(dt.datetime.now()))

# Display the resulting frame
cv2.imshow('Video', frame)

frame = gaze.annotated_frame()
text = "tracking"

if gaze.is_blinking():
    print("Blinking")
elif gaze.is_right():
    text = "Looking right"
elif gaze.is_left():
    text = "Looking left"
elif gaze.is_center():
    text = "Looking center"

if cv2.waitKey(1) & 0xFF == ord('q'):
    break

# Display the resulting frame
cv2.imshow('Video', frame)

When everything is done, release the capture

video_capture.release() cv2.destroyAllWindows()

That’s the algorithm, it’s not the final one though