                               "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()
  
      def process_face(self, filename, side, is_timelapse):
          """ Load an image and perform transformation and warping """
          logger.trace("Process face: (filename: '%s', side: '%s', is_timelapse: %s)",
 
</s> remove     def process_face(self, filename, side, is_timelapse):
 </s> add     def process_face(self, filename, side, is_display): </s> remove                              "is_timelapse: %s)",
                             len(batch), [item.shape for item in batch], side, is_timelapse)
 </s> add                              "is_display: %s)",
                             len(batch), [item.shape for item in batch], side, is_display) </s> remove         logger.trace("Process face: (filename: '%s', side: '%s', is_timelapse: %s)",
                     filename, side, is_timelapse)
 </s> add         logger.trace("Process face: (filename: '%s', side: '%s', is_display: %s)",
                     filename, side, is_display) </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.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)
        logger.debug("Finished minibatch generator for queue: (side: '%s', is_display: %s)",
                     side, is_display)
                               "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_display: %s)",
                     side, is_display)
        logger.debug("Finished minibatch generator for queue: (side: '%s', is_display: %s)",
                     side, is_display)
          load_process.join()
  
      def process_face(self, filename, side, is_timelapse):
          """ Load an image and perform transformation and warping """
          logger.trace("Process face: (filename: '%s', side: '%s', is_timelapse: %s)",
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