          folder_name = "drawn_landmarks_{}".format(now)
          if self.frames.is_video:
              dest_folder = os.path.dirname(self.frames.folder)
          else:
              dest_folder = self.frames.folder
          output_folder = os.path.join(dest_folder, folder_name)
          logger.debug("Creating folder: '%s'", output_folder)
          os.makedirs(output_folder)
          return output_folder
  
 
</s> remove         if self.frames.is_video:
            dest_folder = os.path.dirname(self.frames.folder)
 </s> add         if self._frames.is_video:
            dest_folder = os.path.dirname(self._frames.folder) </s> remove     def set_output(self):
        """ Set the output folder path """
 </s> add         """ </s> remove         """ Run the draw alignments process """
 </s> add         """ Runs the process to draw face annotations onto original source frames. """ </s> remove         if filename.lower() == "dfl":
            folder = None
            filename = "dfl"
            logger.info("Using extracted DFL faces for alignments")
        elif not os.path.isfile(alignments_file):
 </s> add         if not os.path.isfile(alignments_file): </s> remove     @staticmethod
    def convert_dfl_alignment(dfl_alignments, f_hash, alignments):
        """ Add Deep Face Lab Alignments to alignments in Faceswap format """
        sourcefile = dfl_alignments["source_filename"]
        left, top, right, bottom = dfl_alignments["source_rect"]
        alignment = {"x": left,
                     "w": right - left,
                     "y": top,
                     "h": bottom - top,
                     "hash": f_hash,
                     "landmarks_xy": np.array(dfl_alignments["source_landmarks"], dtype="float32")}
        logger.trace("Adding alignment: (frame: '%s', alignment: %s", sourcefile, alignment)
        alignments.setdefault(sourcefile, dict()).setdefault("faces", []).append(alignment)


class Draw():
    """ Draw Alignments on passed in images """
    def __init__(self, alignments, arguments):
        logger.debug("Initializing %s: (arguments: %s)", self.__class__.__name__, arguments)
        self.arguments = arguments
        self.alignments = alignments
        self.frames = Frames(arguments.frames_dir)
        self.output_folder = self.set_output()
        self.extracted_faces = None
        logger.debug("Initialized %s", self.__class__.__name__)
 </s> add         Returns
        -------
        str
            Full path to the output folder
            dest_folder = self._frames.folder
          folder_name = "drawn_landmarks_{}".format(now)
          if self.frames.is_video:
              dest_folder = os.path.dirname(self.frames.folder)
          else:
            dest_folder = self._frames.folder
          output_folder = os.path.join(dest_folder, folder_name)
          logger.debug("Creating folder: '%s'", output_folder)
          os.makedirs(output_folder)
          return output_folder
  
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