          warped_image = cv2.resize(  # pylint: disable=no-member
              warped_image[slices, slices, :], (self.input_size, self.input_size),
              cv2.INTER_AREA)  # pylint: disable=no-member
          logger.trace("Warped image shape: %s", warped_image.shape)
          target_image = cv2.resize(  # pylint: disable=no-member
              target_image[slices, slices, :], (self.output_size, self.output_size),
              cv2.INTER_AREA)  # pylint: disable=no-member
          logger.trace("Target image shape: %s", target_image.shape)
  
          warped_image, warped_mask = self.separate_mask(warped_image)
 
</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 </s> remove         target_image = cv2.warpAffine(  # pylint: disable=no-member
 </s> add         target_image = cv2.warpAffine(  # pylint:disable=no-member </s> remove             interp[i] = cv2.resize(map_, (pad, pad))[slices, slices]  # pylint: disable=no-member
 </s> add             interp[i] = cv2.resize(map_, (pad, pad))[slices, slices]  # pylint:disable=no-member
        target_image = cv2.resize(  # pylint:disable=no-member
          warped_image = cv2.resize(  # pylint: disable=no-member
              warped_image[slices, slices, :], (self.input_size, self.input_size),
              cv2.INTER_AREA)  # pylint: disable=no-member
          logger.trace("Warped image shape: %s", warped_image.shape)
        target_image = cv2.resize(  # pylint:disable=no-member
              target_image[slices, slices, :], (self.output_size, self.output_size),
              cv2.INTER_AREA)  # pylint: disable=no-member
          logger.trace("Target image shape: %s", target_image.shape)
  
          warped_image, warped_mask = self.separate_mask(warped_image)
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