dev(narugo): fix bugs in docs

        Detect human bodies (including the entire body) in anime images.

    :param image: Image to detect.

    :param level: The model level being used can be either `s`, `m` or `x`.

        The `s` model runs faster with smaller system overhead, while the `m` model achieves higher accuracy.

        The default value is `s`.

    :param version: Version of model, default is ``v1``.

    :param level: The model level being used can be either ``n``, ``s``, ``m`` or ``x``.

        The ``n`` model runs faster with smaller system overhead, while the ``m`` model achieves higher accuracy.

        The default value is ``m``.

    :param version: Version of model, default is ``v1.1``. Available versions are ``v0``, ``v1`` and ``v1.1``.

    :param max_infer_size: The maximum image size used for model inference, if the image size exceeds this limit,

        the image will be resized and used for inference. The default value is ``640`` pixels.

    :param conf_threshold: The confidence threshold, only detection results with confidence scores above

        >>> from matplotlib import pyplot as plt

        >>> plt.imshow(detection_visualize(image, result))

        >>> plt.show()

    .. note::

        Please note that certain combinations of versions and levels may not have corresponding models.

        When using them, please refer to the performance chart at the top of that page, which lists

        the versions and models included.

    """

    image = load_image(image, mode='RGB')

    new_image, old_size, new_size = _image_preprocess(image, max_infer_size)