def _parse_proto(example_proto):
    parsed_dict = {'target': tf.FixedLenFeature((), tf.float32, default_value=0)}
    for i in range(n_frames):
        parsed_dict['frame_{}'.format(i)] = tf.FixedLenFeature((), tf.string, default_value='')
    parsed_features = tf.parse_single_example(example_proto, parsed_dict)
    return parsed_features
def _parse_proto(example_proto):
    parsed_dict = {'target': tf.FixedLenFeature((), tf.float32, default_value=0)}
    for i in range(n_frames):
        parsed_dict['frame_{}'.format(i)] = tf.FixedLenFeature((), tf.string, default_value=)
    parsed_features = tf.parse_single_example(example_proto, parsed_dict)
    return parsed_features