How to use the imgviz.io.imsave function in imgviz

shapes=data['shapes'],
                label_name_to_value=class_name_to_id,
            )
            labelme.utils.lblsave(out_png_file, lbl)

            np.save(out_lbl_file, lbl)

            if not args.noviz:
                viz = imgviz.label2rgb(
                    label=lbl,
                    img=imgviz.rgb2gray(img),
                    font_size=15,
                    label_names=class_names,
                    loc='rb',
                )
                imgviz.io.imsave(out_viz_file, viz)

maker.xmax(str(xmax)),
                        maker.ymax(str(ymax)),
                    ),
                )
            )

        if not args.noviz:
            captions = [class_names[l] for l in labels]
            viz = imgviz.instances2rgb(
                image=img,
                labels=labels,
                bboxes=bboxes,
                captions=captions,
                font_size=15,
            )
            imgviz.io.imsave(out_viz_file, viz)

        with open(out_xml_file, 'wb') as f:
            f.write(lxml.etree.tostring(xml, pretty_print=True))

type='instance',
            )
            ins[cls == -1] = 0  # ignore it.

            # class label
            labelme.utils.lblsave(out_clsp_file, cls)
            np.save(out_cls_file, cls)
            if not args.noviz:
                clsv = imgviz.label2rgb(
                    label=cls,
                    img=imgviz.rgb2gray(img),
                    label_names=class_names,
                    font_size=15,
                    loc='rb',
                )
                imgviz.io.imsave(out_clsv_file, clsv)

            # instance label
            labelme.utils.lblsave(out_insp_file, ins)
            np.save(out_ins_file, ins)
            if not args.noviz:
                instance_ids = np.unique(ins)
                instance_names = [str(i) for i in range(max(instance_ids) + 1)]
                insv = imgviz.label2rgb(
                    label=ins,
                    img=imgviz.rgb2gray(img),
                    label_names=instance_names,
                    font_size=15,
                    loc='rb',
                )
                imgviz.io.imsave(out_insv_file, insv)

imgviz.io.imsave(out_clsv_file, clsv)

            # instance label
            labelme.utils.lblsave(out_insp_file, ins)
            np.save(out_ins_file, ins)
            if not args.noviz:
                instance_ids = np.unique(ins)
                instance_names = [str(i) for i in range(max(instance_ids) + 1)]
                insv = imgviz.label2rgb(
                    label=ins,
                    img=imgviz.rgb2gray(img),
                    label_names=instance_names,
                    font_size=15,
                    loc='rb',
                )
                imgviz.io.imsave(out_insv_file, insv)

def run_example(function):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
    )
    parser.add_argument("--save", action="store_true", help="save image")
    args = parser.parse_args()

    img = function()

    if args.save:
        out_file = osp.join(here, ".readme/{}.jpg".format(function.__name__))
        imgviz.io.imsave(out_file, img)

    plt.imshow(img)
    plt.axis("off")
    plt.show()

# tile instance masks
insviz = [(rgb * m[:, :, None])[b[0] : b[2], b[1] : b[3]] for b, m in zip(bboxes, masks)]
insviz = imgviz.tile(imgs=insviz, border=(255, 255, 255))

# tile visualization
tiled = imgviz.tile(
    [rgb, depthviz, labelviz, bboxviz, maskviz, insviz],
    shape=(1, 6),
    border=(255, 255, 255),
    border_width=5,
)
# }} GETTING_STARTED
# -----------------------------------------------------------------------------

out_file = osp.join(here, ".readme/getting_started.jpg")
imgviz.io.imsave(out_file, tiled)

img = imgviz.io.imread(out_file)
plt.imshow(img)
plt.axis("off")
plt.show()