                                          blur_type=self.config["type"],
                                          blur_passes=self.config["passes"],
                                          threshold=self.config["threshold"])
              mask = self._crop_to_coverage(mask.mask)
              mask_size = mask.shape[0]
              face_size = self.dummy.shape[0]
              if mask_size != face_size:
 
</s> remove     @staticmethod
    def _resize_masks(target_size, masks):
 </s> add     @classmethod
    def _resize_masks(cls, target_size, masks): </s> remove                     feed_faces = self._compile_feed_faces(detected_batch)
 </s> add                     feed_faces = self._compile_feed_faces(feed_batch) </s> remove     def process(self, detected_face, predicted_mask=None):  # pylint:disable=arguments-differ
 </s> add     def process(self, detected_face, sub_crop_offset,    # pylint:disable=arguments-differ
                predicted_mask=None,): </s> remove             face = detected_face.image
 </s> add             face = np.array(detected_face.image)  # cv2 fails if this comes as imageio.core.Array </s> remove         images = [self._resize_sample(side, image, target_size) for image in images]
        if target_size != full_size:
            images = [self._overlay_foreground(frame, image) for image in images]
 </s> add         images = [self._overlay_foreground(full.copy(), image) for image in images]

            if np.any(sub_crop_offset):
                mask.set_sub_crop(sub_crop_offset)
                                          blur_type=self.config["type"],
                                          blur_passes=self.config["passes"],
                                          threshold=self.config["threshold"])
            if np.any(sub_crop_offset):
                mask.set_sub_crop(sub_crop_offset)
              mask = self._crop_to_coverage(mask.mask)
              mask_size = mask.shape[0]
              face_size = self.dummy.shape[0]
              if mask_size != face_size:
keep keep add keep keep keep keep
 Extract - Increase area and move centering (#1095)

* Extract
  - Implement aligner re-feeding
  - Add extract type to pipeline.ExtractMedia
  - Add pose annotation to debug
* Convert
  - implement centering
  - remove usage of feed and reference face properties
  - Remove distributed option from convert
  - Force update of alignments file on legacy receive
* Train
  - Resize preview image to model output size
  - Force legacy centering if centering does not exist in model's state file
  - Enable training on legacy face sets

* Alignments Tool
  - Update draw to include head/pose
  - Remove DFL drop + linting
  - Remove remove-frames job
  - remove align-eyes option
  - Update legacy masks to new extract type
  - Exit if attempting to merge version 1.0 alignments files with version 2.0 alignments files
  - Re-generate thumbnails on legacy upgrade
* Mask Tool
  - Update for new extract + bugfix full frame
* Manual Tool
  - Update to new extraction method
   - Disable legacy alignments,
   - extract box bugfix
   - extract faces - size to 512 and center on head
* Preview Tool
  - Display based on model centering
* Sort Tool
  - Use alignments for sort by face

* lib.aligner
  - Add Pose Class
  - Add AlignedFace Class
  - center _MEAN_FACE on x
  - Add meta information with versioning to alignments file
  - lib.aligner.get_align_matrix to use landmarks not face
  - Refactor aligned faces in lib.faces_detect
* lib.logger
  - larger file log padding
* lib.config
  - Fix global changeable_items
* lib.face_filter
  - Use new extracted face images
* lib.image
  - bump thumbnail default size to 96px 
plugins/convert/mask/mask_blend.py