import sys from CVtypes import cv def detect(image): image_size = cv.GetSize(image) # create grayscale version grayscale = cv.CreateImage(image_size, 8, 1) cv.CvtColor(image, grayscale, cv.BGR2GRAY) # create storage storage = cv.CreateMemStorage(0) cv.ClearMemStorage(storage) # equalize histogram cv.EqualizeHist(grayscale, grayscale) # detect objects cascade = cv.LoadHaarClassifierCascade('haarcascade_frontalface_alt.xml', cv.Size(1,1)) faces = cv.HaarDetectObjects(grayscale, cascade, storage, 1.2, 2, cv.HAAR_DO_CANNY_PRUNING, cv.Size(350, 350)) print faces if faces: print 'face detected!' for i in faces: cv.Rectangle(image, cv.Point( int(i.x), int(i.y)), cv.Point(int(i.x + i.width), int(i.y + i.height)), cv.RGB(0, 255, 0), 3, 8, 0) if __name__ == "__main__": print "OpenCV version: %s (%d, %d, %d)" % (cv.VERSION, cv.MAJOR_VERSION, cv.MINOR_VERSION, cv.SUBMINOR_VERSION) print "Press ESC to exit ..." # create windows cv.NamedWindow('Camera', cv.WINDOW_AUTOSIZE) # create capture device device = 0 # assume we want first device capture = cv.CreateCameraCapture(-1) cv.SetCaptureProperty(capture, cv.CAP_PROP_FRAME_WIDTH, 640) cv.SetCaptureProperty(capture, cv.CAP_PROP_FRAME_HEIGHT, 480) # check if capture device is OK if not capture: print "Error opening capture device" sys.exit(1) while 1: # do forever # capture the current frame frame = cv.QueryFrame(capture) if frame is None: break # mirror cv.Flip(frame, None, 1) # face detection detect(frame) # display webcam image cv.ShowImage('Camera', frame) # handle events k = cv.WaitKey(10) if k == 0x1b: # ESC print 'ESC pressed. Exiting ...' break#需要下载 CVtypes.py及 haarcascade_frontalface_alt.xml