code: def encode_example(self, image_or_path_or_fobj):
      
      if isinstance(image_or_path_or_fobj, np.ndarray):
        encoded_image = self._encode_image(image_or_path_or_fobj)
      elif isinstance(image_or_path_or_fobj, six.string_types):
        with tf.io.gfile.GFile(image_or_path_or_fobj, 'rb') as image_f:
          encoded_image = image_f.read()
      else:
        encoded_image = image_or_path_or_fobj.read()
      return encoded_image
docs: Convert the given image into a dict convertible to tf example.