  
      def normalize(self):
          """ Compile all original and normalized alignments """
          logger.debug("Normalize")
          count = sum(1 for val in self.alignments.data.values() if val["faces"])
          landmarks_all = np.zeros((68, 2, int(count)))
  
          end = 0
          for key in tqdm(sorted(self.alignments.data.keys()), desc="Compiling"):
              val = self.alignments.data[key]["faces"]
 
</s> remove         for key in tqdm(sorted(self.alignments.data.keys()), desc="Compiling"):
            val = self.alignments.data[key]["faces"]
 </s> add         for key in tqdm(sorted(self._alignments.data.keys()), desc="Compiling"):
            val = self._alignments.data[key]["faces"] </s> remove         encodings = self.vgg_face.predict(detected_face.aligned_face)
 </s> add         feed = AlignedFace(detected_face.landmarks_xy, image=image, size=224, centering="legacy")
        encodings = self.vgg_face.predict(feed.face)
 </s> remove             face.load_aligned(None, size=self.face_size, force=True)
 </s> add             aligned = AlignedFace(face.landmarks_xy,
                                  centering=self._centering,
                                  size=self.face_size) </s> remove     def remove_faces(self):
        """ Process to remove faces from an alignments file """
        face_hashes = list(self.faces.items.keys())
 </s> add     def _remove_faces(self):
        """ Removes faces from the alignments file if a faces folder has been provided and the
        faces do not exist within each alignments file. """
        face_hashes = list(self._faces.items.keys()) </s> remove         for alignment in tqdm(self.alignments.yield_faces(),
                              desc="Sort alignment indexes", total=self.alignments.frames_count):
 </s> add         for alignment in tqdm(self._alignments.yield_faces(),
                              desc="Sort alignment indexes", total=self._alignments.frames_count):
        count = sum(1 for val in self._alignments.data.values() if val["faces"])
  
      def normalize(self):
          """ Compile all original and normalized alignments """
          logger.debug("Normalize")
        count = sum(1 for val in self._alignments.data.values() if val["faces"])
          landmarks_all = np.zeros((68, 2, int(count)))
  
          end = 0
          for key in tqdm(sorted(self.alignments.data.keys()), desc="Compiling"):
              val = self.alignments.data[key]["faces"]
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 
tools/alignments/jobs.py