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RTD2.py
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RTD2.py
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import cv2
import numpy as np
import dlib
from imutils import face_utils
from playsound import playsound
cap = cv2.VideoCapture(0)
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
sleep = 0
drowsy = 0
active = 0
status=""
color=(0,0,0)
yawnCount=0
def compute(ptA,ptB):
dist = np.linalg.norm(ptA - ptB)
return dist
def blinked(a,b,c,d,e,f):
up = compute(b,d) + compute(c,e)
down = compute(a,f)
ratio = up/(2.0*down)
#Checking if it is blinked
if(ratio>0.25):
return 2
elif(ratio>0.21 and ratio<=0.25):
return 1
else:
return 0
while True:
_, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = detector(gray)
#detected face in faces array
for face in faces:
x1 = face.left()
y1 = face.top()
x2 = face.right()
y2 = face.bottom()
face_frame = frame.copy()
cv2.rectangle(face_frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
landmarks = predictor(gray, face)
#print('landmarks 1',landmarks)
landmarks = face_utils.shape_to_np(landmarks)
#print('landmarks 2',landmarks)
#print('landmarks[1][1]',landmarks[1][1])
#The numbers are actually the landmarks which will show eye
left_blink = blinked(landmarks[36],landmarks[37],
landmarks[38], landmarks[41], landmarks[40], landmarks[39])
right_blink = blinked(landmarks[42],landmarks[43],
landmarks[44], landmarks[47], landmarks[46], landmarks[45])
##for mouth
x2 = landmarks[51][0]
y2 = landmarks[51][1]
cv2.circle(frame, (x2, y2), 2, (255, 0, 0), -1)
x3 = landmarks[57][0]
y3 = landmarks[57][1]
cv2.circle(frame, (x3, y3), 2, (255, 0, 0), -1)
#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>10):
status="SLEEPING !!!"
color = (255,0,0)
playsound('b.mp3')
elif(y3- y2 >28):
print("drowsy")
drowsy+=1
print("drowsy val",drowsy)
if(drowsy >20):
status="Drowsy !!!"
color = (255,0,0)
playsound('b.mp3')
else:
#drowsy=0
sleep=0
active+=1
if(active>6):
drowsy = 0
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