def METHOD_NAME(self, cropped_img):
    with self._graph.as_default():
        cropped_img = np.expand_dims(cropped_img, axis=0)
        landmark, p, states = self._sess.run(
            [self.landmark, self.headpose, self.state],
            feed_dict={
                self.img_input: cropped_img,
                self.training: False
            })
    return landmark, states