              method=self.load_batches,
              shapes=batch_shape,
              in_queue=queue_in,
              out_queue=queue_out,
              args=(images, side, is_timelapse, do_shuffle, batchsize))
          load_process.start()
          logger.debug("Batching to queue: (side: '%s', is_timelapse: %s)", side, is_timelapse)
          return self.minibatch(side, is_timelapse, load_process)
  
      @staticmethod
 
</s> remove         logger.debug("Batching to queue: (side: '%s', is_timelapse: %s)", side, is_timelapse)
        return self.minibatch(side, is_timelapse, load_process)
 </s> add         logger.debug("Batching to queue: (side: '%s', is_display: %s)", side, is_display)
        return self.minibatch(side, is_display, load_process) </s> remove     def make_queues(side, is_timelapse):
 </s> add     def make_queues(side, is_preview, is_timelapse): </s> remove         logger.debug("Launching minibatch generator for queue (side: '%s', is_timelapse: %s)",
                     side, is_timelapse)
 </s> add         logger.debug("Launching minibatch generator for queue (side: '%s', is_display: %s)",
                     side, is_display) </s> remove     def load_batches(self, mem_gen, images, side, is_timelapse,
 </s> add     def load_batches(self, mem_gen, images, side, is_display, </s> remove             logger.trace("Putting to batch queue: (side: '%s', is_timelapse: %s)",
                         side, is_timelapse)
 </s> add             logger.trace("Putting to batch queue: (side: '%s', is_display: %s)",
                         side, is_display)
            args=(images, side, is_display, do_shuffle, batchsize))
              method=self.load_batches,
              shapes=batch_shape,
              in_queue=queue_in,
              out_queue=queue_out,
            args=(images, side, is_display, do_shuffle, batchsize))
          load_process.start()
          logger.debug("Batching to queue: (side: '%s', is_timelapse: %s)", side, is_timelapse)
          return self.minibatch(side, is_timelapse, load_process)
  
      @staticmethod
keep keep keep keep replace keep keep keep keep keep
 Color Augmentation method (#752)

* Color Augmentation: Implement testing code

* Tweak Contrast and Lighting augmentation amounts

* Prevent color augmentation from entering timelapse

* Remove all augmentations from preview images 
lib/training_data.py