                   gpus,
                   no_logs=False,
                   warp_to_landmarks=False,
                   no_flip=False,
                   training_image_size=256,
                   alignments_paths=None,
                   preview_scale=100,
                   input_shape=None,
                   encoder_dim=None,
 
</s> remove                      "training_image_size, %s, alignments_paths: %s, preview_scale: %s, "
                     "input_shape: %s, encoder_dim: %s, trainer: %s, pingpong: %s, "
                     "memory_saving_gradients: %s, predict: %s)",
                     self.__class__.__name__, model_dir, gpus, no_logs, training_image_size,
                     alignments_paths, preview_scale, input_shape, encoder_dim, trainer,
                     pingpong, memory_saving_gradients, predict)
 </s> add                      "warp_to_landmarks: %s, augment_color: %s, no_flip: %s, training_image_size, "
                     "%s, alignments_paths: %s, preview_scale: %s, input_shape: %s, encoder_dim: "
                     "%s, trainer: %s, pingpong: %s, memory_saving_gradients: %s, predict: %s)",
                     self.__class__.__name__, model_dir, gpus, no_logs, warp_to_landmarks,
                     augment_color, no_flip, training_image_size, alignments_paths, preview_scale,
                     input_shape, encoder_dim, trainer, pingpong, memory_saving_gradients, predict) </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) </s> remove         image = self.processing.color_adjust(image)
 </s> add         image = self.processing.color_adjust(image,
                                             self.training_opts["augment_color"],
                                             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)
                 augment_color=False,
                   gpus,
                   no_logs=False,
                   warp_to_landmarks=False,
                 augment_color=False,
                   no_flip=False,
                   training_image_size=256,
                   alignments_paths=None,
                   preview_scale=100,
                   input_shape=None,
                   encoder_dim=None,
keep keep add keep 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 
plugins/train/model/_base.py