code: def encode_example(self, video_or_path_or_fobj):
      
      if isinstance(video_or_path_or_fobj, six.string_types):
        if not os.path.isfile(video_or_path_or_fobj):
          _, video_temp_path = tempfile.mkstemp()
          try:
            tf.gfile.Copy(video_or_path_or_fobj, video_temp_path, overwrite=True)
            encoded_video = self._ffmpeg_decode(video_temp_path)
          finally:
            os.unlink(video_temp_path)
        else:
          encoded_video = self._ffmpeg_decode(video_or_path_or_fobj)
      elif hasattr(video_or_path_or_fobj, 'read'):
        encoded_video = self._ffmpeg_decode(video_or_path_or_fobj)
      else:
        encoded_video = video_or_path_or_fobj
      return super(Video, self).encode_example(encoded_video)
docs: Converts the given image into a dict convertible to tf example.