                       side, is_timelapse)
          for batch_wrapper in load_process:
              with batch_wrapper as batch:
                  logger.trace("Yielding batch: (size: %s, item shapes: %s, side:  '%s', "
                               "is_timelapse: %s)",
                               len(batch), [item.shape for item in batch], side, is_timelapse)
                  yield batch
          load_process.stop()
          logger.debug("Finished minibatch generator for queue: (side: '%s', is_timelapse: %s)",
                       side, is_timelapse)
          load_process.join()
 
</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         logger.debug("Finished minibatch generator for queue: (side: '%s', is_timelapse: %s)",
                     side, is_timelapse)
 </s> add         logger.debug("Finished minibatch generator for queue: (side: '%s', is_display: %s)",
                     side, is_display) </s> remove     def process_face(self, filename, side, is_timelapse):
 </s> add     def process_face(self, filename, side, is_display): </s> remove     def minibatch(side, is_timelapse, load_process):
 </s> add     def minibatch(side, is_display, load_process): </s> remove         logger.debug("Loading batch: (image_count: %s, side: '%s', is_timelapse: %s, "
                     "do_shuffle: %s)", len(images), side, is_timelapse, do_shuffle)
 </s> add         logger.debug("Loading batch: (image_count: %s, side: '%s', is_display: %s, "
                     "do_shuffle: %s)", len(images), side, is_display, do_shuffle)
                             "is_display: %s)",
                             len(batch), [item.shape for item in batch], side, is_display)
                       side, is_timelapse)
          for batch_wrapper in load_process:
              with batch_wrapper as batch:
                  logger.trace("Yielding batch: (size: %s, item shapes: %s, side:  '%s', "
                             "is_display: %s)",
                             len(batch), [item.shape for item in batch], side, is_display)
                             "is_display: %s)",
                             len(batch), [item.shape for item in batch], side, is_display)
                  yield batch
          load_process.stop()
          logger.debug("Finished minibatch generator for queue: (side: '%s', is_timelapse: %s)",
                       side, is_timelapse)
          load_process.join()
keep keep keep keep replace 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