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Main-code.py
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#OpenCV for image processing functions
import cv2
#Numpy for array related functions
import numpy as np
#Dlib for face landmark detection
import dlib
#face_utils for basic operations of conversion
from imutils import face_utils
#playsound for playing alarm sound
from playsound import playsound
#Initializing the camera and taking the instance
cap = cv2.VideoCapture(0)
#Initializing the face detector and landmark detector
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
#status marking for current state
Sleep = 0
Drowsy = 0
Active = 0
status=""
color=(0,0,0)
def compute(ptA,ptB):
dist = np.linalg.norm(ptA - ptB)
return dist
def blink(a,b,c,d,e,f):
up = compute(b,d) + compute(c,e)
down = compute(a,f)
ratio = up/(2.0*down)
#Checking for blink
if(ratio>0.25):
return 2
elif(ratio>0.21 and ratio<=0.25):
return 1
else:
return 0
while True:
feature, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = detector(gray)
face_frame=frame.copy()
#detect face in faces array
for face in faces:
x1 = face.left()
y1 = face.top()
x2 = face.right()
y2 = face.bottom()
cv2.rectangle(face_frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
landmarks = predictor(gray, face)
landmarks = face_utils.shape_to_np(landmarks)
#The numbers are actually the landmarks which will show eye
left_blink = blink(landmarks[36],landmarks[37],
landmarks[38], landmarks[41], landmarks[40], landmarks[39])
right_blink = blink(landmarks[42],landmarks[43],
landmarks[44], landmarks[47], landmarks[46], landmarks[45])
#Now judge what to do for the eye blinks
if(left_blink==0 or right_blink==0):
Sleep+=1
Drowsy=0
Active=0
if(Sleep>6):
playsound('alarm.mp3')
status="SLEEPING ALERT!!!"
color=(255,0,0)
elif(left_blink==1 or right_blink==1):
Drowsy+=1
Sleep=0
Active=0
if(Drowsy>6):
status="DROWSY"
color=(0,0,255)
else:
Drowsy=0
Sleep=0
Active+=1
if(Active>6):
status="ACTIVE :)"
color=(0,255,0)
cv2.putText(frame, status, (100,100), cv2.FONT_HERSHEY_SIMPLEX, 1.2, color,3)
for n in range(0,68):
(x,y)=landmarks[n]
cv2.circle(face_frame, (x, y), 1, (255, 255, 255), -1)
cv2.imshow("Frame",frame)
cv2.imshow("Result of detector",face_frame)
key=cv2.waitKey(1)
if(key==27):
break