                                 self.model.training_opts["preview_scaling"])
          self.timelapse = Timelapse(self.model,
                                     self.use_mask,
                                     self.model.training_opts["coverage_ratio"],
                                     self.batchers)
          logger.debug("Initialized %s", self.__class__.__name__)
  
      @property
      def timestamp(self):
          """ Standardised timestamp for loss reporting """
 
</s> remove                                             training_opts.get("coverage_ratio", 0.625))
 </s> add                                             training_opts.get("coverage_ratio", 0.625),
                                            config) </s> remove                      "batchers: '%s')", self.__class__.__name__, model, use_mask,
                     coverage_ratio, batchers)
 </s> add                      "preview_images: %s, batchers: '%s')", self.__class__.__name__, model,
                     use_mask, coverage_ratio, preview_images, batchers)
        self.preview_images = preview_images </s> remove                                        batch_size)
 </s> add                                        batch_size,
                                       self.config) </s> remove         generator = TrainingDataGenerator(input_size, output_size, self.model.training_opts)
 </s> add         generator = TrainingDataGenerator(input_size,
                                          output_size,
                                          self.model.training_opts,
                                          self.config)
                                   self.config.get("preview_images", 14),
                                 self.model.training_opts["preview_scaling"])
          self.timelapse = Timelapse(self.model,
                                     self.use_mask,
                                     self.model.training_opts["coverage_ratio"],
                                   self.config.get("preview_images", 14),
                                     self.batchers)
          logger.debug("Initialized %s", self.__class__.__name__)
  
      @property
      def timestamp(self):
          """ Standardised timestamp for loss reporting """
keep keep keep add keep keep keep keep keep keep
 Expose Augmentation Options to config 
plugins/train/trainer/_base.py