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- import cv2
- import time
- import easygui
- face_cascade = cv2.CascadeClassifier('data/haarcascades/haarcascade_frontalface_default.xml')
- eye_cascade = cv2.CascadeClassifier('data/haarcascades/haarcascade_eye_tree_eyeglasses.xml')
- cap = cv2.VideoCapture(0)
- last_time = time.time()
- elapse = 0
- while True:
- if elapse <= 20*60:
- ret, img = cap.read()
- gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
- faces = face_cascade.detectMultiScale(gray, 1.3, 5)
- for (x,y,w,h) in faces:
- cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
- roi_gray = gray[y:y+h, x:x+w]
- roi_color = img[y:y+h, x:x+w]
- eyes = eye_cascade.detectMultiScale(roi_gray)
- for (ex,ey,ew,eh) in eyes:
- cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
- if (ex,ey,ew,eh) != None:
- elapse = time.time() - last_time
- else :
- print('Rest your eye!')
- easygui.msgbox('Rest your eye!', 'Eye love you.')
- time.sleep(30)
- elapse = 0
- last_time = time.time()
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