  
      def load_images(self):
          """ Load the images """
          logger.debug("Load Images: Start")
          load_queue = queue_manager.get_queue("extract_in")
          idx = 0
          for filename, image in self.images.load():
              idx += 1
              if load_queue.shutdown.is_set():
                  logger.debug("Load Queue: Stop signal received. Terminating")
 
</s> remove         extract_queue = queue_manager.get_queue("extract_in") if self.extractor else None
 </s> add  </s> remove         load_queue = queue_manager.get_queue("detect")
 </s> add         load_queue = self.extractor.input_queue </s> remove         save_queue = queue_manager.get_queue("extract_out")
 </s> add  </s> remove             if save_queue.shutdown.is_set():
 </s> add             if self.save_queue.shutdown.is_set(): </s> remove             item = save_queue.get()
 </s> add             item = self.save_queue.get()
            logger.trace(item)
        load_queue = self.extractor.input_queue
  
      def load_images(self):
          """ Load the images """
          logger.debug("Load Images: Start")
        load_queue = self.extractor.input_queue
          idx = 0
          for filename, image in self.images.load():
              idx += 1
              if load_queue.shutdown.is_set():
                  logger.debug("Load Queue: Stop signal received. Terminating")
keep keep keep keep replace keep keep keep keep keep
 Face filter vgg face (#724)

* Implement extraction pipeline

* Face filter to vgg_face. Resume partial model downloads

* On-the-fly conversion to extraction pipeline

* Move git model ids from get_model to model definition 
scripts/extract.py