                  continue
              logger.trace("Returning: '%s'", filename)
              yield filename
  
      def get_multi_faces_faces(self):
          """ Return Faces when there are multiple faces in a frame """
          self.output_message = "Multiple faces in frame"
          seen_hash_dupes = set()
          for item in tqdm(self.items, desc=self.output_message):
              filename = item["face_fullname"]
 
</s> remove         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())

            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)
                frame_idx = [f_i for f_i in frame_idx if f_i not in seen_hash_dupes][0]
                seen_hash_dupes.add(frame_idx)
                frame_idx = [frame_idx]

            frame_name, idx = frame_idx[0]
            if not self._alignments.frame_has_multiple_faces(frame_name):
 </s> add         for item in tqdm(self._items, desc=self.output_message):
            if not self._alignments.frame_has_multiple_faces(item["source_filename"]): </s> remove         for item in tqdm(self.items, desc=self.output_message):
 </s> add         for item in tqdm(self._items, desc=self.output_message): </s> remove     def get_multi_faces_frames(self):
 </s> add     def _get_multi_faces_frames(self): </s> remove         frames = set(item["frame_fullname"] for item in self.items)
 </s> add         frames = set(item["frame_fullname"] for item in self._items) </s> remove     def get_missing_alignments(self):
 </s> add     def _get_missing_alignments(self):
    def _get_multi_faces_faces(self):
                  continue
              logger.trace("Returning: '%s'", filename)
              yield filename
  
    def _get_multi_faces_faces(self):
          """ Return Faces when there are multiple faces in a frame """
          self.output_message = "Multiple faces in frame"
          seen_hash_dupes = set()
          for item in tqdm(self.items, desc=self.output_message):
              filename = item["face_fullname"]
keep keep keep keep replace keep keep keep keep keep
 Update extracted faces to use PNG EXIF data (#1123)

Documentation
  - Update Usage.md, align.rst and image.rst
lib.image.py
  - read_image - Remove hash return, add metadata return
  - Remove read_image_hash functions
  - Add read_image_meta functios
  - Replace encode_image_with_hash with encode_image (to store metadata)
  - Add png meta reading and writing functions
  - Update Image Loaders/Savers to handle metadata rather than hashes
lib.training_data
  - Naming updates to remove references to hashes
lib.align.Alignments
  - Add versioning notes
  - Increment alignments version to 2.1
  - Deprecate hashing lookup functions
  - Replace filter_hashes with filter_faces
lib.align.detected_face
  - DetectedFace
    - Remove hash property
    - Add png header data serializing/deserializing functions
  - Mask
    - Add png header data serializing/deserializing functions
  - add update_legacy_png_header function to update png meta data
lib.cli.args - Deprecate alignments files for training
- plugins.train.trainer
  - Update alignments/mask code to read png header data
- scripts.convert
  - Aligned images folder - read data from png headers
- scripts.extract
  - Write png header information and no longer store hash of face
- tools.alignments
  - remove leftover-faces, merge and update-hashes jobs
  - Update jobs to use png meta data rather than hashes
- tools.manual
  - Update extract code to output png meta data and don't store hashes
  - Perform check on launch that tool is not pointing at a faces folder
tools.mask
  - Update to use png meta data
tools.sort
  - Update to use png meta data 
tools/alignments/jobs.py