              ``None`` if no image has been provided.
          """
          if image is None:
              logger.debug("_extract_face called without a loaded image. Returning empty face.")
              if self._is_aligned:
                  raise ValueError("An aligned face must be provided if calling with "
                                   "'is_aligned=True'")
              return None
          if self._is_aligned and self._centering != "head":  # Crop out the sub face from full head
              image = self._convert_centering(image)
  
          if self._is_aligned and image.shape[0] != self._size:  # Resize the given aligned face
 
</s> remove         if self._centering != "head":
            raise ValueError("Cropped slices can only be obtained from an aligned face with "
                             "'head' centering")
 </s> add  </s> remove         src_size = self.size - (self._size * _EXTRACT_RATIOS[self._centering])
        head_size = 2 * int(np.rint(src_size / (1 - _EXTRACT_RATIOS["head"]) / 2))
        if head_size != image.shape[0]:
            interp = cv2.INTER_CUBIC if image.shape[0] < head_size else cv2.INTER_AREA
            image = cv2.resize(image, (head_size, head_size), interpolation=interp)

        # store requested size + centering whilst temporary converting to full head extract
        old_centering = self._centering
        old_size = self.size
        self._centering = "head"
        self._size = image.shape[0]

        # crop the requested centering from image
        size = self.get_cropped_size(old_centering)
        out = np.zeros((size, size, image.shape[-1]), dtype=image.dtype)
        slices = self.get_cropped_slices(old_centering)
 </s> add         logger.trace("head_size: %s, image_size: %s, target_size: %s",
                     self._head_size, image.shape[0], self.size)
        if self._head_size != image.shape[0]:
            interp = cv2.INTER_CUBIC if image.shape[0] < self._head_size else cv2.INTER_AREA
            image = cv2.resize(image, (self._head_size, self._head_size), interpolation=interp)

        out = np.zeros((self.size, self.size, image.shape[-1]), dtype=image.dtype)
        slices = self._get_cropped_slices() </s> remove         sub-cropped face to the correct centering, revers the sub crop and returns the cropped
 </s> add         sub-cropped face to the correct centering, reverse the sub crop and returns the cropped </s> remove         if self._centering != "head":
            raise ValueError("Sub ROI can only be obtained from an aligned face with 'head' "
                             "centering")
 </s> add  </s> remove     def get_cropped_size(self, centering):
        """ Obtain the size of a cropped face from a full head centered image.

        Parameters
        ----------
        centering: ["legacy", "face"]
            The type of centering to obtain the region of interest for. "legacy" places the nose
            in the center of the image (the original method for aligning). "face" aligns for the
            nose to be in the center of the face (top to bottom) but the center of the skull for
            left to right.

        Returns
        -------
        int
           The pixel size of a sub-crop image from a full head aligned image

        Notes
        -----
        The ROI in relation to the source image is calculated by rounding the padding of one side
        to the nearest integer then applying this padding to the center of the crop, so the size
        is calculated in the same way.
        """
        if self._centering != "head":
            raise ValueError("Sub ROI can only be obtained from an aligned face with 'head' "
                             "centering")
        with self._cache["cropped_size"][1]:
            if not self._cache["cropped_size"][0].get(centering):
                src_size = self.size - (self._size * _EXTRACT_RATIOS["head"])
                size = 2 * int(np.rint(src_size / (1 - _EXTRACT_RATIOS[centering]) / 2))
                logger.trace("centering: %s, size: %s, crop_size: %s", centering, self._size, size)
                self._cache["cropped_size"][0][centering] = size
        return self._cache["cropped_size"][0][centering]

    def get_cropped_slices(self, centering):
 </s> add     def _get_cropped_slices(self):
              ``None`` if no image has been provided.
          """
          if image is None:
              logger.debug("_extract_face called without a loaded image. Returning empty face.")



              return None
          if self._is_aligned and self._centering != "head":  # Crop out the sub face from full head
              image = self._convert_centering(image)
  
          if self._is_aligned and image.shape[0] != self._size:  # Resize the given aligned face
keep keep keep keep replace replace replace keep keep keep keep keep
 Bugfix - Warp to landmarks 
lib/align/aligned_face.py