self.diff = cv2.bitwise_and(d1, d2)
def feed_image(self, image):
self._index = (self._index + 1) % (2 * self._N)
self._frame[self._index] = image
self.diff_img()
if __name__ == '__main__':
winName = "cam test"
cv2.namedWindow(winName, cv2.CV_WINDOW_AUTOSIZE)
# Read three images first:
cam = MyCam()
md = MotionDetector(N=2, shape=cam.read().shape)
while True:
md.feed_image(cam.read())
cv2.imshow(winName, md.diff)
key = cv2.waitKey(10)
if key == 27 or key == 32:
cam.release()
cv2.destroyWindow(winName)
break
print "Goodbye"
d2 = cv2.absdiff(f2, f1)
self.diff = cv2.bitwise_and(d1, d2)
def feed_image(self, image):
self._index = (self._index + 1) % (2 * self._N)
self._frame[self._index] = image
self.diff_img()
if __name__ == '__main__':
winName = "cam test"
cv2.namedWindow(winName, cv2.CV_WINDOW_AUTOSIZE)
# Read three images first:
cam = MyCam()
md = MotionDetector(N=2, shape=cam.read().shape)
while True:
md.feed_image(cam.read())
cv2.imshow(winName, md.diff)
key = cv2.waitKey(10)
if key == 27 or key == 32:
cam.release()
cv2.destroyWindow(winName)
break
print "Goodbye"
