          logger.debug("Initialized %s", self.__class__.__name__)
  
      @property
      def queue_size(self):
          """ Set q-size to double number of cpus available """
          if self.args.singleprocess:
              retval = 2
          else:
              retval = total_cpus() * 2
          logger.debug(retval)
 
</s> remove             retval = 2
 </s> add             retval = 16 </s> remove             retval = total_cpus() * 2
 </s> add             retval = 32 </s> remove         # queue_manager.debug_monitor(3)
        self.convert_images()
        self.disk_io.save_thread.join()
        queue_manager.terminate_queues()

        Utils.finalize(self.images.images_found,
                       self.predictor.faces_count,
                       self.predictor.verify_output)
        logger.debug("Completed Conversion")
 </s> add         queue_manager.debug_monitor(5)
        try:
            self.convert_images()
            self.disk_io.save_thread.join()
            queue_manager.terminate_queues()

            Utils.finalize(self.images.images_found,
                           self.predictor.faces_count,
                           self.predictor.verify_output)
            logger.debug("Completed Conversion")
        except MemoryError as err:
            msg = ("Faceswap ran out of RAM running convert. Conversion is very system RAM "
                   "heavy, so this can happen in certain circumstances when you have a lot of "
                   "cpus but not enough RAM to support them all."
                   "\nYou should lower the number of processes in use by either setting the "
                   "'singleprocess' flag (-sp) or lowering the number of parallel jobs (-j).")
            raise FaceswapError(msg) from err
        """ Set 16 for singleprocess otherwise 32 """
          logger.debug("Initialized %s", self.__class__.__name__)
  
      @property
      def queue_size(self):
        """ Set 16 for singleprocess otherwise 32 """
          if self.args.singleprocess:
              retval = 2
          else:
              retval = total_cpus() * 2
          logger.debug(retval)
keep keep keep keep replace keep keep keep keep keep
 Add jobs parameter to convert for limiting parallel processes 
scripts/convert.py