face_detect

import cv2
 
scaling = 10
 
webcam = cv2.VideoCapture(0)
haar = cv2.CascadeClassifier("/usr/local/Cellar/opencv/2.4.8.2/share/OpenCV/lbpcascades/lbpcascade_frontalface.xml")
 
 
if webcam.isOpened(): # try to get the first frame
    rval, frame = webcam.read()
else:
    rval = False
 
while rval:
    minisize = (frame.shape[1]/scaling,frame.shape[0]/scaling)
    miniframe = cv2.resize(frame, minisize)
    faces = haar.detectMultiScale(miniframe)
    for f in faces:
        x, y, w, h = [ v*scaling for v in f ]
        cv2.rectangle(frame, (x,y), (x+w,y+h), (0,0,255))
        crop_img = frame[y:y+h, x:x+w]
        cv2.imwrite('face.png', crop_img)
    cv2.imshow("preview", frame)
 
    rval, frame = webcam.read()
 
    key = cv2.waitKey(20)
    if key in [27, ord('Q'), ord('q')]:
        break