├── .gitattributes
├── haarcascade_eye.xml
├── haarcascade_frontalface_default.xml
└── teste2.py


/.gitattributes:
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1 | # Auto detect text files and perform LF normalization
2 | * text=auto
3 | 


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/teste2.py:
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 1 | import numpy as np
 2 | import cv2
 3 | 
 4 | cap = cv2.VideoCapture(0)
 5 | 
 6 | face_cascade = cv2.CascadeClassifier('haarcascade/haarcascade_frontalface_default.xml')
 7 | eye_cascade = cv2.CascadeClassifier('haarcascade/haarcascade_eye.xml')
 8 | 
 9 | while(True):
10 | 	_, frame = cap.read()
11 | 
12 | 	gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
13 | 	faces = face_cascade.detectMultiScale(gray, 1.3, 5)
14 | 	for (x,y,w,h) in faces:
15 | 		cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
16 | 		roi_gray = gray[y:y+h, x:x+w]
17 | 		roi_color = frame[y:y+h, x:x+w]
18 | 		eyes = eye_cascade.detectMultiScale(roi_gray)
19 | 		for (ex,ey,ew,eh) in eyes:
20 | 			cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
21 | 
22 | 
23 | 
24 | 	cv2.imshow('frame',frame)
25 | 
26 | 	key = cv2.waitKey(1)
27 | 
28 | 	if key == 27:
29 | 		break
30 | 
31 | cap.release()
32 | cv2.destroyAllWindows()
33 | 


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