              if frame not in frames:
                  logger.debug("Returning: '%s'", frame)
                  yield frame
  
      def get_leftover_faces(self):
          """yield each face that isn't in the alignments file."""
          self.output_message = "Faces missing from the alignments file"
          for face in tqdm(self.items, desc=self.output_message):
              f_hash = face["face_hash"]
              if f_hash not in self._alignments.hashes_to_frame:
                  logger.debug("Returning: '%s'", face["face_fullname"])
                  yield face["face_fullname"], -1
  
      def output_results(self, items_output):
          """ Output the results in the requested format """
          logger.trace("items_output: %s", items_output)
          if self.output == "move" and self.is_video and self.type == "frames":
              logger.warning("Move was selected with an input video. This is not possible so "
                             "falling back to console output")
 
</s> remove         if self.output == "move" and self.is_video and self.type == "frames":
 </s> add         if self._output == "move" and self._is_video and self._type == "frames": </s> remove             self.output = "console"
 </s> add             self._output = "console" </s> remove             logger.info("No %s were found meeting the criteria", self.type)
 </s> add             logger.info("No %s were found meeting the criteria", self._type) </s> remove         for frame in tqdm(self.items, desc=self.output_message):
 </s> add         for frame in tqdm(self._items, desc=self.output_message): </s> remove         frames = set(item["frame_fullname"] for item in self.items)
 </s> add         frames = set(item["frame_fullname"] for item in self._items)
    def _output_results(self, items_output):
              if frame not in frames:
                  logger.debug("Returning: '%s'", frame)
                  yield frame
  
    def _output_results(self, items_output):
    def _output_results(self, items_output):
    def _output_results(self, items_output):
    def _output_results(self, items_output):
    def _output_results(self, items_output):
    def _output_results(self, items_output):
    def _output_results(self, items_output):
    def _output_results(self, items_output):
    def _output_results(self, items_output):
    def _output_results(self, items_output):
          """ Output the results in the requested format """
          logger.trace("items_output: %s", items_output)
          if self.output == "move" and self.is_video and self.type == "frames":
              logger.warning("Move was selected with an input video. This is not possible so "
                             "falling back to console output")
keep keep keep keep replace replace replace replace replace replace replace replace replace 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