  
              detected_faces = self.get_detected_faces(filename, image, extract_queue)
              item = dict(filename=filename, image=image, detected_faces=detected_faces)
              self.load_queue.put(item)
  
          self.load_queue.put("EOF")
          logger.debug("Load Images: Complete")
 
</s> remove                 feed_faces = self.compile_feed_faces(detected_batch)
                predicted = self.predict(feed_faces)
 </s> add                 if faces_seen != 0:
                    feed_faces = self.compile_feed_faces(detected_batch)
                    predicted = self.predict(feed_faces)
                else:
                    predicted = list() </s> remove         self.pre_process = PostProcess(arguments)
 </s> add  </s> remove                 if faces_count != 0:
                    self.pre_process.do_actions(item)
                    self.faces_count += faces_count
 </s> add                 self.faces_count += faces_count
            self.pre_process.do_actions(item)
  
              detected_faces = self.get_detected_faces(filename, image, extract_queue)
              item = dict(filename=filename, image=image, detected_faces=detected_faces)
            self.pre_process.do_actions(item)
              self.load_queue.put(item)
  
          self.load_queue.put("EOF")
          logger.debug("Load Images: Complete")
keep keep add keep keep keep keep
 Bugfix: Filter and NFilter for convert 
scripts/convert.py