      def get_items(self):
          """ Set the post processing actions """
          postprocess_items = dict()
          # Debug Landmarks
          if (hasattr(self.args, 'debug_landmarks')
                  and self.args.debug_landmarks):
              postprocess_items["DebugLandmarks"] = None
  
          # Face Filter post processing
          if ((hasattr(self.args, "filter") and self.args.filter is not None) or
                  (hasattr(self.args, "nfilter") and
 
</s> remove             landmarks = np.array(landmarks, dtype="int32")
 </s> add             landmarks = np.array(landmarks, dtype="float32") </s> remove     """ Perform transformation to align and get landmarks """
 </s> add     """ Neural network to process face image into a segmentation mask of the face """ </s> remove     """ Perform transformation to align and get landmarks """
 </s> add     """ Neural network to process face image into a segmentation mask of the face """ </s> remove     """ Perform transformation to align and get landmarks """
 </s> add     """ Neural network to process face image into a segmentation mask of the face """ </s> remove         l_eye = np.array(l_eye_points + l_brow_points).reshape((-1, 2)).astype(int).flatten()
        r_eye = np.array(r_eye_points + r_brow_points).reshape((-1, 2)).astype(int).flatten()
 </s> add         l_eye = np.array(l_eye_points + l_brow_points).reshape((-1, 2)).astype('int32').flatten()
        r_eye = np.array(r_eye_points + r_brow_points).reshape((-1, 2)).astype('int32').flatten()

        if (hasattr(self.args, 'debug_landmarks') and self.args.debug_landmarks):
      def get_items(self):
          """ Set the post processing actions """
          postprocess_items = dict()
          # Debug Landmarks
        if (hasattr(self.args, 'debug_landmarks') and self.args.debug_landmarks):
        if (hasattr(self.args, 'debug_landmarks') and self.args.debug_landmarks):
              postprocess_items["DebugLandmarks"] = None
  
          # Face Filter post processing
          if ((hasattr(self.args, "filter") and self.args.filter is not None) or
                  (hasattr(self.args, "nfilter") and
keep keep keep keep replace replace keep keep keep keep keep
 Landmarks stored and used as floating point numbers (#928)

* remove and fix int adjustments
* masking rounding 
scripts/fsmedia.py