                             abs(count_match), msg, frame_name)
          for idx, i_hash in hashes.items():
              faces[idx]["hash"] = i_hash
  
      def data_from_dfl(self, alignments, faces_folder):
          """ Set :attr:`data` from alignments extracted from a Deep Face Lab face set.
  
          Parameters
          ----------
          alignments: dict
              The extracted alignments from a Deep Face Lab face set
          faces_folder: str
              The folder that the faces are in, where the newly generated alignments file will
              be saved
          """
          self._data = alignments
          self.set_filename(self._get_location(faces_folder, "alignments"))
  
      def set_filename(self, filename):
          """ Set the :attr:`_file` to the given filename.
  
          Parameters
          ----------
 
</s> remove     def check(self, detected_face):
        """ Check the extracted Face """
 </s> add     def check(self, image, detected_face):
        """ Check the extracted Face

        Parameters
        ----------
        image: :class:`numpy.ndarray`
            The original frame that contains the face to be checked
        detected_face: :class:`lib.align.DetectedFace`
            The detected face object that contains the face to be checked

        Returns
        -------
        bool
            ``True`` if the face matches a filter otherwise ``False``
        """
 </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 </s> remove             The full path and filename to se the alignments file name to
 </s> add             The full path and filename to set the alignments file name to </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.
                             abs(count_match), msg, frame_name)
          for idx, i_hash in hashes.items():
              faces[idx]["hash"] = i_hash
  














      def set_filename(self, filename):
          """ Set the :attr:`_file` to the given filename.
  
          Parameters
          ----------
keep keep keep keep replace replace replace replace replace replace replace replace replace replace replace replace replace 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/media.py