├── README.md
├── facedetection.py
└── haarcascade_frontalface_default.xml


/README.md:
--------------------------------------------------------------------------------
1 | This is a simple python project that uses OpenCV for face detection. It converts the image into grayscale before processing. A rectangular frame around the face says that the face is detected.
2 | 


--------------------------------------------------------------------------------
/facedetection.py:
--------------------------------------------------------------------------------
 1 | import cv2
 2 | import numpy as np
 3 | 
 4 | face_classifier = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
 5 | 
 6 | def detect_faces(img):
 7 |     gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 8 |     faces = face_classifier.detectMultiScale(gray, 1.3, 5)
 9 | 
10 |     if faces is ():
11 |         return img
12 |     
13 |     for (x, y, w, h) in faces:
14 |         cv2.rectangle(img, (x, y), (x+w, y+h), (255,0,0),2)
15 |     return img
16 | 
17 | cap = cv2.VideoCapture(0)
18 | 
19 | while True:
20 |     ret, frame =cap.read()
21 |     frame = detect_faces(frame)
22 | 
23 |     cv2.imshow('Video Face Detection', frame)
24 | 
25 |     if cv2.waitKey(1) & 0xFF == ord('q'):
26 |         break
27 | 
28 | cap.release()
29 | cv2.destroyAllWindows()
30 | 


--------------------------------------------------------------------------------