          self.opts = OptionalActions(self.args, self.images.input_images, self.alignments)
  
          self.add_queues()
          self.disk_io = DiskIO(self.alignments, self.images, arguments)
          self.extractor = None
          self.predictor = Predict(self.disk_io.load_queue, self.queue_size, arguments)
          self.converter = Converter(get_folder(self.args.output_dir),
                                     self.predictor.output_size,
                                     self.predictor.has_predicted_mask,
                                     self.disk_io.draw_transparent,
 
</s> remove         self.extractor = None
        if not self.alignments.have_alignments_file:
            self.load_extractor()
 </s> add         self.extractor = self.load_extractor() </s> remove 
 </s> add         self.extractor = Extractor(self.args.detector,
                                   self.args.aligner,
                                   self.args.loglevel,
                                   self.args.multiprocess,
                                   self.args.rotate_images,
                                   self.args.min_size)

        self.save_queue = queue_manager.get_queue("extract_save") </s> remove         self.plugins = Plugins(self.args)

 </s> add  </s> remove         extract_queue = queue_manager.get_queue("extract_in") if self.extractor else None
 </s> add 
          self.opts = OptionalActions(self.args, self.images.input_images, self.alignments)
  
          self.add_queues()
          self.disk_io = DiskIO(self.alignments, self.images, arguments)

          self.predictor = Predict(self.disk_io.load_queue, self.queue_size, arguments)
          self.converter = Converter(get_folder(self.args.output_dir),
                                     self.predictor.output_size,
                                     self.predictor.has_predicted_mask,
                                     self.disk_io.draw_transparent,
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/convert.py