forked from gayatri-01/BlinkABit
-
Notifications
You must be signed in to change notification settings - Fork 0
/
try.py
126 lines (79 loc) · 3.58 KB
/
try.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
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
import cv2
import numpy as np
import dlib
from math import hypot
import time
from flask import Flask,render_template
from win10toast import ToastNotifier
import tkinter as tk
from PIL import ImageTk, Image
from tkinter import Label
from tkinter import Text
from tkinter import font
r = tk.Tk()
r.title('EyeBlinkDetection')
#r.configure(background='white')
lbl = Label(r, text="B L I N K A B I T", font=("Times New Roman", 40))
lbl.grid(column=0, row=0)
lbl.pack()
img = Image.open("eye8.jpg")
img = img.resize((500,500), Image.ANTIALIAS)
img1 = ImageTk.PhotoImage(img)
H=font.Font(family='Times New Roman', size = 20,weight='bold')
button1 = tk.Button(r, text='S T O P', width=30,command = quit)
button1['font']=H
button1.pack(side=tk.BOTTOM)
panel = Label(r, image = img1)
panel.pack(side = "bottom", fill = "both", expand = "yes")
def fun():
p=30
q=100
cap = cv2.VideoCapture(0)
count=0
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat_2")
font = cv2.FONT_HERSHEY_SIMPLEX
while True:
_, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = detector(gray)
for face in faces:
start=time.clock()
landmarks = predictor(gray, face)
left_eye_ratio = get_blinking_ratio([36, 37, 38, 39, 40, 41], landmarks,frame)
right_eye_ratio = get_blinking_ratio([42, 43, 44, 45, 46, 47], landmarks,frame)
blinking_ratio = (left_eye_ratio + right_eye_ratio) / 2
cv2.putText(frame, str(time.clock()), (50, 150), font, 0.7, (0,0,255))
if blinking_ratio > 5.7:
count=count+1
cv2.putText(frame, "Blink Count ="+str(count)+" "+str(time.clock()), (50, 150), font, 0.7, (0,0,255))
if (time.clock())>p and (count<q) :
cv2.putText(frame, "Blink your eyes ", (80, 180), font, 0.7, (0,0,255))
p=p+30
q=q+100
toaster=ToastNotifier()
toaster.show_toast("BLINK BLINK BLINKKKK")
cv2.imshow("Frame", frame)
key = cv2.waitKey(1)
if key == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
def midpoint(p1 ,p2):
return int((p1.x + p2.x)/2), int((p1.y + p2.y)/2)
def get_blinking_ratio(eye_points, facial_landmarks,frame):
left_point = (facial_landmarks.part(eye_points[0]).x, facial_landmarks.part(eye_points[0]).y)
right_point = (facial_landmarks.part(eye_points[3]).x, facial_landmarks.part(eye_points[3]).y)
center_top = midpoint(facial_landmarks.part(eye_points[1]), facial_landmarks.part(eye_points[2]))
center_bottom = midpoint(facial_landmarks.part(eye_points[5]), facial_landmarks.part(eye_points[4]))
hor_line = cv2.line(frame, left_point, right_point, (0, 255, 0), 2)
ver_line = cv2.line(frame, center_top, center_bottom, (0, 255, 0), 2)
hor_line_lenght = hypot((left_point[0] - right_point[0]), (left_point[1] - right_point[1]))
ver_line_lenght = hypot((center_top[0] - center_bottom[0]), (center_top[1] - center_bottom[1]))
ratio = hor_line_lenght / ver_line_lenght
return ratio
H=font.Font(family='Times New Roman', size = 20,weight='bold')
button = tk.Button(r, text='S T A R T', width=30, command=fun)
button['font']=H
button.pack(side=tk.BOTTOM)
r.mainloop()