          seen_hash_dupes = set()
          for item in tqdm(self.items, desc=self.output_message):
              filename = item["face_fullname"]
              f_hash = item["face_hash"]
              frame_idx = [(frame, idx)
                           for frame, idx in self.alignments.hashes_to_frame[f_hash].items()]
  
              if len(frame_idx) > 1:
                  # If the same hash exists in multiple frames, select arbitrary frame
                  # and add to seen_hash_dupes so it is not selected again
                  logger.trace("Dupe hashes: %s", frame_idx)
 
</s> remove             if not self.alignments.frame_has_multiple_faces(filename):
 </s> add             if not self._alignments.frame_has_multiple_faces(filename): </s> remove             if not self.alignments.frame_has_multiple_faces(frame_name):
 </s> add             if not self._alignments.frame_has_multiple_faces(frame_name): </s> remove         sorted_aligned = sorted([(frame, idx) for frame, idx in align_faces.items()])
 </s> add         sorted_aligned = sorted(list(align_faces.items())) </s> remove             if f_hash not in self.alignments.hashes_to_frame:
 </s> add             if f_hash not in self._alignments.hashes_to_frame: </s> remove             if not self.alignments.frame_has_faces(frame_name):
 </s> add             if not self._alignments.frame_has_faces(frame_name):
            frame_idx = list(self._alignments.hashes_to_frame[f_hash].items())
          seen_hash_dupes = set()
          for item in tqdm(self.items, desc=self.output_message):
              filename = item["face_fullname"]
              f_hash = item["face_hash"]
            frame_idx = list(self._alignments.hashes_to_frame[f_hash].items())
            frame_idx = list(self._alignments.hashes_to_frame[f_hash].items())
  
              if len(frame_idx) > 1:
                  # If the same hash exists in multiple frames, select arbitrary frame
                  # and add to seen_hash_dupes so it is not selected again
                  logger.trace("Dupe hashes: %s", frame_idx)
keep keep keep keep replace 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 
tools/alignments/jobs.py