Face Detection

Seite 1

import cv2

face_cascade = cv2.CascadeClassifier('lbpcascade_frontalface.xml')

vc = cv2.VideoCapture('video.mp4')

if vc.isOpened():

rval , frame = vc.read()

else:

rval = False

roi = [0,0,0,0]

while rval:

rval, frame = vc.read()

# resize frame for speed.

frame = cv2.resize(frame, (300,200))

# face detection.

faces = face_cascade.detectMultiScale(frame, 1.8, 2)

nfaces = 0

for (x,y,w,h) in faces:

cv2.rectangle(frame,(x,y),(x+w,y+h),(0,0,255),2)

nfaces = nfaces + 1

roi = [x,y,w,h]

# undetected face, show old on position.

if nfaces == 0:

cv2.rectangle(frame,(roi[0],roi[1]),(roi[0]+roi[2],roi[1]+roi[3]),(0,0,255),2)

# show result

cv2.imshow("Result",frame)

cv2.waitKey(1); vc.release()