              self._alignments.backup()
              self._alignments.save()
              self._updated_frame_indices.clear()
              self._tk_unsaved.set(False)
              pbar.stop()
              return
  
          while True:
              try:
                  pbar.step(queue.get(False, 0))
 
</s> remove                 pbar.step(queue.get(False, 0))
 </s> add                 progress_bar.step(queue.get(False, 0)) </s> remove             pbar.update_title("Saving Alignments...")
 </s> add             progress_bar.update_title("Saving Alignments...") </s> remove         pbar.after(100, self._monitor_extract, thread, queue, pbar)
 </s> add         progress_bar.after(100, self._monitor_extract, thread, queue, progress_bar) </s> remove     @staticmethod
    def get_dfl_alignment(filename):
        """ Process the alignment of one face """
        ext = os.path.splitext(filename)[1]

        if ext.lower() in (".jpg", ".jpeg"):
            img = Image.open(filename)
            try:
                dfl_alignments = pickle.loads(img.app["APP15"])
                dfl_alignments["source_rect"] = [n.item()  # comes as non-JSONable np.int32
                                                 for n in dfl_alignments["source_rect"]]
                return dfl_alignments
            except pickle.UnpicklingError:
                return None

        with open(filename, "rb") as dfl:
            header = dfl.read(8)
            if header != b"\x89PNG\r\n\x1a\n":
                logger.error("No Valid PNG header: %s", filename)
                return None
            while True:
                chunk_start = dfl.tell()
                chunk_hdr = dfl.read(8)
                if not chunk_hdr:
                    break
                chunk_length, chunk_name = struct.unpack("!I4s", chunk_hdr)
                dfl.seek(chunk_start, os.SEEK_SET)
                if chunk_name == b"fcWp":
                    chunk = dfl.read(chunk_length + 12)
                    retval = pickle.loads(chunk[8:-4])
                    logger.trace("Loaded DFL Alignment: (filename: '%s', alignment: %s",
                                 filename, retval)
                    return retval
                dfl.seek(chunk_length+12, os.SEEK_CUR)
            logger.error("Couldn't find DFL alignments: %s", filename)
 </s> add         If annotating a folder of frames, output will be placed in a sub folder within the frames
        folder. If annotating a video, output will be a folder next to the original video. </s> remove             detected_face.from_alignment(face)
 </s> add             detected_face.from_alignment(face, with_thumb=True)
            progress_bar.stop()
              self._alignments.backup()
              self._alignments.save()
              self._updated_frame_indices.clear()
              self._tk_unsaved.set(False)
            progress_bar.stop()
              return
  
          while True:
              try:
                  pbar.step(queue.get(False, 0))
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/manual/detected_faces.py