dev(narugo): add docs for new detection methods

    for i, img in enumerate(images, start=0):

        xi, yi = i // columns, i % columns

        image, label = _image_input_process(img)

        ax = axs[yi] if rows == 1 else axs[xi, yi]

        if rows == 1 and columns == 1:

            ax = axs

        elif rows == 1:

            ax = axs[yi]

        else:

            ax = axs[xi, yi]

        ax.imshow(image)

        ax.set_title(label)

        if not keep_axis:

imgutils.detect.face

==========================

.. currentmodule:: imgutils.detect.face

.. automodule:: imgutils.detect.face

detect_faces

------------------------------

.. autofunction:: detect_faces

from imgutils.detect import detect_faces

from imgutils.detect.visual import detection_visualize

from plot import image_plot

def _detect(img, **kwargs):

    return detection_visualize(img, detect_faces(img, **kwargs))

if __name__ == '__main__':

    image_plot(

        (_detect('nian.png'), 'large scale'),

        (_detect('two_bikini_girls.png'), 'closed faces'),

        (_detect('genshin_post.jpg'), 'multiple'),

        (_detect('mostima_post.jpg'), 'anime style'),

        save_as='face_detect.dat.svg',

        columns=2,

        figsize=(12, 9),

    )

imgutils.detect

=====================

.. currentmodule:: imgutils.detect

.. automodule:: imgutils.detect

.. toctree::

    :maxdepth: 3

    face

    person

    visual