          :class:`numpy.ndarray`
              The (`left`, `top`, `right`, `bottom` location of the region of interest within an
              aligned face centered on the head for the given centering
          """
          if self._centering != "head":
              raise ValueError("Sub ROI can only be obtained from an aligned face with 'head' "
                               "centering")
          with self._cache["cropped_roi"][1]:
              if centering not in self._cache["cropped_roi"][0]:
                  offset = self.pose.offset.get(centering, np.float32((0, 0)))  # legacy = 0,0
                  offset -= self.pose.offset["head"]
                  offset *= (self.size - (self._size * _EXTRACT_RATIOS["head"]))
 
</s> remove                 offset *= (self.size - (self._size * _EXTRACT_RATIOS["head"]))
 </s> add                 offset *= (self._head_size - (self._head_size * _EXTRACT_RATIOS["head"])) </s> remove                 center = np.rint(offset + self._size / 2).astype("int32")
                padding = self.get_cropped_size(centering) // 2
 </s> add                 center = np.rint(offset + self._head_size / 2).astype("int32")
                padding = self.size // 2 </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): </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             if not self._cache["cropped_slices"][0].get(centering):
                size = self.get_cropped_size(centering)
                roi = self.get_cropped_roi(centering)
 </s> add             if not self._cache["cropped_slices"][0].get(self._centering):
                roi = self.get_cropped_roi(self._centering)
                head_size = self._head_size
          :class:`numpy.ndarray`
              The (`left`, `top`, `right`, `bottom` location of the region of interest within an
              aligned face centered on the head for the given centering
          """



          with self._cache["cropped_roi"][1]:
              if centering not in self._cache["cropped_roi"][0]:
                  offset = self.pose.offset.get(centering, np.float32((0, 0)))  # legacy = 0,0
                  offset -= self.pose.offset["head"]
                  offset *= (self.size - (self._size * _EXTRACT_RATIOS["head"]))
keep keep keep keep replace replace replace keep keep keep keep keep
 Bugfix - Warp to landmarks 
lib/align/aligned_face.py