              [optional shape tuple] )
      Example
      -------
      >>> image_filenames = ["/path/to/image_1.png", "/path/to/image_2.png", "/path/to/image_3.png"]
      >>> for filename, hash in read_image_hash_batch(image_filenames):
      >>>         <do something>
      """
      logger.trace("Requested batch: '%s'", filenames)
      executor = futures.ThreadPoolExecutor()
      with executor:
 
</s> remove     tuple: (`filename`, :func:`hashlib.hexdigest()` representation of the `sha1` hash of the image,
            [optional shape tuple] )
 </s> add     tuple
        (**filename** (`str`), **metadata** (`dict`) )
 </s> remove         read_hashes = {executor.submit(read_image_hash,
                                       filename,
                                       output_shape=output_shape): filename
                       for filename in filenames}
 </s> add         read_meta = {executor.submit(read_image_meta, filename): filename
                     for filename in filenames} </s> remove     >>>    image = read_image(image_file, raise_error=True, with_hash=False)
 </s> add     >>>    image = read_image(image_file, raise_error=True, with_metadata=False) </s> remove     >>> for filename, face, sha1_hash in loader.load():
 </s> add     >>> for filename, face, metadata in loader.load(): </s> remove     Loading faces with their sha1 hash:
 </s> add     Loading faces with their Faceswap metadata:
    >>> for filename, meta in read_image_meta_batch(image_filenames):
              [optional shape tuple] )
      Example
      -------
      >>> image_filenames = ["/path/to/image_1.png", "/path/to/image_2.png", "/path/to/image_3.png"]
    >>> for filename, meta in read_image_meta_batch(image_filenames):
      >>>         <do something>
      """
      logger.trace("Requested batch: '%s'", filenames)
      executor = futures.ThreadPoolExecutor()
      with executor:
keep keep keep keep 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 
lib/image.py