└── README.md


/README.md:
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 1 | # Face-Detection
 2 | # OpenCV program to detect face in real time 
 3 | # import libraries of python OpenCV 
 4 | import cv2 
 5 | 
 6 | # Trained XML classifiers describes some features of some 
 7 | # object we want to detect a cascade function is trained 
 8 | # from a lot of positive(faces) and negative(non-faces) 
 9 | # images. 
10 | face_cascade = cv2.CascadeClassifier('face_.xml') 
11 | 
12 | # Trained XML file for detecting eyes 
13 | eye_cascade = cv2.CascadeClassifier('normal_eye.xml') 
14 | 
15 | # capture frames from a camera 
16 | cap = cv2.VideoCapture(0) 
17 | 
18 | # loop runs if capturing has been initialized. 
19 | while 1: 
20 | 
21 | 	# reads frames from a camera 
22 | 	ret, img = cap.read() 
23 | 
24 | 	# convert to gray scale of each frames 
25 | 	gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 
26 | 
27 | 	# Detects faces of different sizes in the input image 
28 | 	faces = face_cascade.detectMultiScale(gray, 1.3, 5) 
29 | 
30 | 	for (x,y,w,h) in faces: 
31 | 		# To draw a rectangle in a face 
32 | 		cv2.rectangle(img,(x,y),(x+w,y+h),(255,255,0),2) 
33 | 		roi_gray = gray[y:y+h, x:x+w] 
34 | 		roi_color = img[y:y+h, x:x+w] 
35 | 
36 | 		# Detects eyes of different sizes in the input image 
37 | 		eyes = eye_cascade.detectMultiScale(roi_gray) 
38 | 
39 | 		#To draw a rectangle in eyes 
40 | 		for (ex,ey,ew,eh) in eyes: 
41 | 			cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,127,255),2) 
42 | 
43 | 	# Display an image in a window 
44 | 	cv2.imshow('img',img) 
45 | 
46 | 	# Wait for Esc key to stop 
47 | 	k = cv2.waitKey(30) & 0xff
48 | 	if k == 27: 
49 | 		break
50 | 
51 | # Close the window 
52 | cap.release() 
53 | 
54 | # De-allocate any associated memory usage 
55 | cv2.destroyAllWindows() 
56 | 


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