                       predicted["filename"], placeholder.shape)
  
          return placeholder, background
  
      def _pre_warp_adjustments(self, new_face, detected_face, predicted_mask):
          """ Run any requested adjustments that can be performed on the raw output from the Faceswap
          model.
  
          Any adjustments that can be performed before warping the face into the final frame are
          performed here.
 
</s> remove     def _get_image_mask(self, new_face, detected_face, predicted_mask):
 </s> add     def _get_image_mask(self, new_face, detected_face, predicted_mask, reference_face): </s> remove         # Or another vram measurement technique will need to be implemented to for when TF has
        # already performed allocation. For now we force CPU detectors.
 </s> add         # Or another vram measurement technique will need to be implemented to for when tensorflow
        # has already performed allocation. For now we force CPU detectors.
 </s> remove     def _get_mask(self, detected_face, predicted_mask):
 </s> add     def _get_mask(self, detected_face, predicted_mask, sub_crop_offset):
    def _pre_warp_adjustments(self, new_face, detected_face, reference_face, predicted_mask):
                       predicted["filename"], placeholder.shape)
  
          return placeholder, background
  
    def _pre_warp_adjustments(self, new_face, detected_face, reference_face, predicted_mask):
          """ Run any requested adjustments that can be performed on the raw output from the Faceswap
          model.
  
          Any adjustments that can be performed before warping the face into the final frame are
          performed here.
keep keep keep keep replace keep 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 
lib/convert.py