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drowsiness_detector.py
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# coding: utf-8
# In[1]:
import numpy as np
import imutils
import time
import timeit
import dlib
import cv2
import matplotlib.pyplot as plt
from scipy.spatial import distance as dist
from imutils.video import VideoStream
from imutils import face_utils
from threading import Thread
from threading import Timer
from check_cam_fps import check_fps
import make_train_data as mtd
import light_remover as lr
import ringing_alarm as alarm
def eye_aspect_ratio(eye) :
A = dist.euclidean(eye[1], eye[5])
B = dist.euclidean(eye[2], eye[4])
C = dist.euclidean(eye[0], eye[3])
ear = (A + B) / (2.0 * C)
return ear
def init_open_ear() :
time.sleep(5)
print("open init time sleep")
ear_list = []
th_message1 = Thread(target = init_message)
th_message1.deamon = True
th_message1.start()
for i in range(7) :
ear_list.append(both_ear)
time.sleep(1)
global OPEN_EAR
OPEN_EAR = sum(ear_list) / len(ear_list)
print("open list =", ear_list, "\nOPEN_EAR =", OPEN_EAR, "\n")
def init_close_ear() :
time.sleep(2)
th_open.join()
time.sleep(5)
print("close init time sleep")
ear_list = []
th_message2 = Thread(target = init_message)
th_message2.deamon = True
th_message2.start()
time.sleep(1)
for i in range(7) :
ear_list.append(both_ear)
time.sleep(1)
CLOSE_EAR = sum(ear_list) / len(ear_list)
global EAR_THRESH
EAR_THRESH = (((OPEN_EAR - CLOSE_EAR) / 2) + CLOSE_EAR) #EAR_THRESH means 50% of the being opened eyes state
print("close list =", ear_list, "\nCLOSE_EAR =", CLOSE_EAR, "\n")
print("The last EAR_THRESH's value :",EAR_THRESH, "\n")
def init_message() :
print("init_message")
alarm.sound_alarm("init_sound.mp3")
#####################################################################################################################
#1. Variables for checking EAR.
#2. Variables for detecting if user is asleep.
#3. When the alarm rings, measure the time eyes are being closed.
#4. When the alarm is rang, count the number of times it is rang, and prevent the alarm from ringing continuously.
#5. We should count the time eyes are being opened for data labeling.
#6. Variables for trained data generation and calculation fps.
#7. Detect face & eyes.
#8. Run the cam.
#9. Threads to run the functions in which determine the EAR_THRESH.
#1.
OPEN_EAR = 0 #For init_open_ear()
EAR_THRESH = 0 #Threashold value
#2.
#It doesn't matter what you use instead of a consecutive frame to check out drowsiness state. (ex. timer)
EAR_CONSEC_FRAMES = 20
COUNTER = 0 #Frames counter.
#3.
closed_eyes_time = [] #The time eyes were being offed.
TIMER_FLAG = False #Flag to activate 'start_closing' variable, which measures the eyes closing time.
ALARM_FLAG = False #Flag to check if alarm has ever been triggered.
#4.
ALARM_COUNT = 0 #Number of times the total alarm rang.
RUNNING_TIME = 0 #Variable to prevent alarm going off continuously.
#5.
PREV_TERM = 0 #Variable to measure the time eyes were being opened until the alarm rang.
#6. make trained data
np.random.seed(9)
power, nomal, short = mtd.start(25) #actually this three values aren't used now. (if you use this, you can do the plotting)
#The array the actual test data is placed.
test_data = []
#The array the actual labeld data of test data is placed.
result_data = []
#For calculate fps
prev_time = 0
#7.
print("loading facial landmark predictor...")
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
(lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
(rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]
#8.
print("starting video stream thread...")
vs = VideoStream(src=0).start()
time.sleep(1.0)
#9.
th_open = Thread(target = init_open_ear)
th_open.deamon = True
th_open.start()
th_close = Thread(target = init_close_ear)
th_close.deamon = True
th_close.start()
#####################################################################################################################
while True:
frame = vs.read()
frame = imutils.resize(frame, width = 400)
L, gray = lr.light_removing(frame)
rects = detector(gray,0)
#checking fps. If you want to check fps, just uncomment below two lines.
#prev_time, fps = check_fps(prev_time)
#cv2.putText(frame, "fps : {:.2f}".format(fps), (10,130), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (200,30,20), 2)
for rect in rects:
shape = predictor(gray, rect)
shape = face_utils.shape_to_np(shape)
leftEye = shape[lStart:lEnd]
rightEye = shape[rStart:rEnd]
leftEAR = eye_aspect_ratio(leftEye)
rightEAR = eye_aspect_ratio(rightEye)
#(leftEAR + rightEAR) / 2 => both_ear.
both_ear = (leftEAR + rightEAR) * 500 #I multiplied by 1000 to enlarge the scope.
leftEyeHull = cv2.convexHull(leftEye)
rightEyeHull = cv2.convexHull(rightEye)
cv2.drawContours(frame, [leftEyeHull], -1, (0,255,0), 1)
cv2.drawContours(frame, [rightEyeHull], -1, (0,255,0), 1)
if both_ear < EAR_THRESH :
if not TIMER_FLAG:
start_closing = timeit.default_timer()
TIMER_FLAG = True
COUNTER += 1
if COUNTER >= EAR_CONSEC_FRAMES:
mid_closing = timeit.default_timer()
closing_time = round((mid_closing-start_closing),3)
if closing_time >= RUNNING_TIME:
if RUNNING_TIME == 0 :
CUR_TERM = timeit.default_timer()
OPENED_EYES_TIME = round((CUR_TERM - PREV_TERM),3)
PREV_TERM = CUR_TERM
RUNNING_TIME = 1.75
RUNNING_TIME += 2
ALARM_FLAG = True
ALARM_COUNT += 1
print("{0}st ALARM".format(ALARM_COUNT))
print("The time eyes is being opened before the alarm went off :", OPENED_EYES_TIME)
print("closing time :", closing_time)
test_data.append([OPENED_EYES_TIME, round(closing_time*10,3)])
result = mtd.run([OPENED_EYES_TIME, closing_time*10], power, nomal, short)
result_data.append(result)
t = Thread(target = alarm.select_alarm, args = (result, ))
t.deamon = True
t.start()
else :
COUNTER = 0
TIMER_FLAG = False
RUNNING_TIME = 0
if ALARM_FLAG :
end_closing = timeit.default_timer()
closed_eyes_time.append(round((end_closing-start_closing),3))
print("The time eyes were being offed :", closed_eyes_time)
ALARM_FLAG = False
cv2.putText(frame, "EAR : {:.2f}".format(both_ear), (300,130), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (200,30,20), 2)
cv2.imshow("Frame",frame)
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
break
cv2.destroyAllWindows()
vs.stop()