          ####
  
          for i, map_ in enumerate([mapx, mapy]):
              map_ = map_ + np.random.normal(size=(5, 5), scale=self.scale)
              interp[i] = cv2.resize(map_, (pad, pad))[slices, slices]  # pylint: disable=no-member
  
          warped_image = cv2.remap(  # pylint: disable=no-member
              image, interp[0], interp[1], cv2.INTER_LINEAR)  # pylint: disable=no-member
          logger.trace("Warped image shape: %s", warped_image.shape)
  
 
</s> remove         warped_image = cv2.remap(  # pylint: disable=no-member
            image, interp[0], interp[1], cv2.INTER_LINEAR)  # pylint: disable=no-member
 </s> add         warped_image = cv2.remap(  # pylint:disable=no-member
            image, interp[0], interp[1], cv2.INTER_LINEAR)  # pylint:disable=no-member </s> remove         target_image = cv2.resize(  # pylint: disable=no-member
 </s> add         target_image = cv2.resize(  # pylint:disable=no-member </s> remove             cv2.INTER_AREA)  # pylint: disable=no-member
 </s> add             cv2.INTER_AREA)  # pylint:disable=no-member </s> remove             cv2.INTER_AREA)  # pylint: disable=no-member
 </s> add             cv2.INTER_AREA)  # pylint:disable=no-member </s> remove         warped_image = cv2.resize(  # pylint: disable=no-member
 </s> add         warped_image = cv2.resize(  # pylint:disable=no-member
            interp[i] = cv2.resize(map_, (pad, pad))[slices, slices]  # pylint:disable=no-member
          ####
  
          for i, map_ in enumerate([mapx, mapy]):
              map_ = map_ + np.random.normal(size=(5, 5), scale=self.scale)
            interp[i] = cv2.resize(map_, (pad, pad))[slices, slices]  # pylint:disable=no-member
  
          warped_image = cv2.remap(  # pylint: disable=no-member
              image, interp[0], interp[1], cv2.INTER_LINEAR)  # pylint: disable=no-member
          logger.trace("Warped image shape: %s", warped_image.shape)
  
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