-
Notifications
You must be signed in to change notification settings - Fork 1
/
App.py
82 lines (72 loc) · 2.95 KB
/
App.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
#importing Libraries
from scipy.spatial import distance
from imutils import face_utils
import imutils
import dlib
import cv2
#creating class for eye_aspect_ratio
class EAR(object):
@classmethod
def eye_aspect_ratio(self,eye):
A = distance.euclidean(eye[1], eye[5])
B = distance.euclidean(eye[2], eye[4])
C = distance.euclidean(eye[0], eye[3])
ear = (A + B) / (2.0 * C)
return ear
#creating class for sleep detection
class SLPD(object):
#initializing values
@classmethod
def __init__(self):
self.thresh = 0.25
self.frame_check = 10
self.detect = dlib.get_frontal_face_detector()
self.predict = dlib.shape_predictor("Model/shape_predictor_68_face_landmarks.dat")
#starting the operation
@classmethod
def start(self):
(self.lStart, self.lEnd) = face_utils.FACIAL_LANDMARKS_68_IDXS["left_eye"]
(self.rStart, self.rEnd) = face_utils.FACIAL_LANDMARKS_68_IDXS["right_eye"]
self.cap=cv2.VideoCapture(0)
self.flag=0
EAR_Obj = EAR()
if self.cap.isOpened():
while True:
ret, frame=self.cap.read()
frame = imutils.resize(frame, width=450)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
subjects = self.detect(gray, 0)
for subject in subjects:
shape = self.predict(gray, subject)
shape = face_utils.shape_to_np(shape)#converting to NumPy Array
self.leftEye = shape[self.lStart:self.lEnd]
self.rightEye = shape[self.rStart:self.rEnd]
self.leftEAR = EAR_Obj.eye_aspect_ratio(self.leftEye)
self.rightEAR = EAR_Obj.eye_aspect_ratio(self.rightEye)
ear = (self.leftEAR + self.rightEAR) / 2.0
leftEyeHull = cv2.convexHull(self.leftEye)
rightEyeHull = cv2.convexHull(self.rightEye)
cv2.drawContours(frame, [leftEyeHull], -1, (0, 255, 0), 1)
cv2.drawContours(frame, [rightEyeHull], -1, (0, 255, 0), 1)
if ear < self.thresh:
self.flag += 1
cv2.putText(frame, str(self.flag), (0, 40),cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
if self.flag >= self.frame_check:
cv2.putText(frame, "****************ALERT!****************", (10, 30),
cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
cv2.putText(frame, "****************ALERT!****************", (10,325),
cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
#print ("Drowsy")
else:
self.flag = 0
cv2.imshow("Frame", frame)
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
cv2.destroyAllWindows()
self.cap.release()
if __name__ == "__main__":
Start_obj = SLPD()
try:
Start_obj.start()
except Exception as e:
print("Error:Occured : {}".format(str(e)))