  
          self._alignments_version = dict()
          self._detected_faces = dict()
  
          self._load_alignments()
          self._check_all_faces()
  
          self._aligned_faces = self._get_aligned_faces(sizes)
          logger.debug("Initialized %s", self.__class__.__name__)
  
      @property
      def aligned_faces(self):
          """ dict: The "a", "b" keys for each side, containing a sub-dictionary with the
 
</s> remove     @property
    def aligned_faces(self):
        """ dict: The "a", "b" keys for each side, containing a sub-dictionary with the
        filename as key and :class:`lib.faces.detected_face.aligned` object as value. """
        return self._aligned_faces

 </s> add  </s> remove         self._detected_faces = dict()
 </s> add         self._image_sizes = {key: None for key in image_list}
        self._detected_faces = self._load_detected_faces(image_list)
        self._update_legacy_facesets() </s> remove             filename as key and :class:`lib.faces.detected_face.AlignedFace` object as value.
 </s> add             filename as key and :class:`lib.align.AlignedFace` object as value. </s> remove     def _get_alignments_paths(self):
        """ Obtain the alignments file paths from the command line arguments passed to the model.
 </s> add     @property
    def aligned_faces(self):
        """ dict: The "a", "b" keys for each side, containing a sub-dictionary with the
        filename as key and :class:`lib.align.AlignedFace` object as value. """
        return self._aligned_faces

    # <<< LOAD DETECTED FACE INFORMATION FROM PNG HEADER >>>
    def _load_detected_faces(self, image_list):
        """ Obtain the metadata from the png training image headers for all images used for
        training.
        self._validity_check()
        self._aligned_faces = self._get_aligned_faces()
  
          self._alignments_version = dict()
          self._detected_faces = dict()
  
        self._validity_check()
        self._aligned_faces = self._get_aligned_faces()
        self._validity_check()
        self._aligned_faces = self._get_aligned_faces()
        self._validity_check()
        self._aligned_faces = self._get_aligned_faces()
        self._validity_check()
        self._aligned_faces = self._get_aligned_faces()
          logger.debug("Initialized %s", self.__class__.__name__)
  
      @property
      def aligned_faces(self):
          """ dict: The "a", "b" keys for each side, containing a sub-dictionary with the
keep keep keep keep 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 
plugins/train/trainer/_base.py