          padding = [] if remainder == 0 else [-1 for _ in range(columns - remainder)]
          labels = np.array((self._raw_indices["frame"] + padding,
                             self._raw_indices["face"] + padding),
                            dtype="int").reshape((2, rows, columns))
          logger.debug(labels.shape)
          return labels
  
      def _get_display_faces(self):
          """ Get the detected faces for the current filter and arrange to grid.
  
 
</s> remove         if any(val is None for val in video_meta_data.values()):
 </s> add         if not valid_meta:
        logger.debug("face-count: %s, columns: %s, rows: %s, remainder: %s, padding: %s, labels "
                     "shape: %s", face_count, columns, rows, remainder, padding, labels.shape)
          padding = [] if remainder == 0 else [-1 for _ in range(columns - remainder)]
          labels = np.array((self._raw_indices["frame"] + padding,
                             self._raw_indices["face"] + padding),
                            dtype="int").reshape((2, rows, columns))
        logger.debug("face-count: %s, columns: %s, rows: %s, remainder: %s, padding: %s, labels "
                     "shape: %s", face_count, columns, rows, remainder, padding, labels.shape)
          return labels
  
      def _get_display_faces(self):
          """ Get the detected faces for the current filter and arrange to grid.
  
keep keep keep keep replace keep keep keep keep keep
 Bug fix - Manual Tool - Fix a first time indexing bug when EEN > 1 
tools/manual/faceviewer/frame.py