How to use the imgviz.instances2rgb function in imgviz

maker.name(shape['label']),
                    maker.pose(),
                    maker.truncated(),
                    maker.difficult(),
                    maker.bndbox(
                        maker.xmin(str(xmin)),
                        maker.ymin(str(ymin)),
                        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))

def instances2rgb():
    data = imgviz.data.voc()

    captions = [data["class_names"][l] for l in data["labels"]]
    insviz1 = imgviz.instances2rgb(
        image=data["rgb"],
        bboxes=data["bboxes"],
        labels=data["labels"],
        captions=captions,
    )
    insviz2 = imgviz.instances2rgb(
        image=data["rgb"],
        masks=data["masks"] == 1,
        labels=data["labels"],
        captions=captions,
    )

    # -------------------------------------------------------------------------

    plt.figure(dpi=200)

data = imgviz.data.arc2017()

# colorize depth image with JET colormap
depth = data["depth"]
depthviz = imgviz.depth2rgb(depth, min_value=0.3, max_value=1)

# colorize label image
class_label = data["class_label"]
labelviz = imgviz.label2rgb(class_label, label_names=data["class_names"])

# instance bboxes
rgb = data["rgb"]
bboxes = data["bboxes"].astype(int)
labels = data["labels"]
captions = [data["class_names"][l] for l in labels]
bboxviz = imgviz.instances2rgb(image=rgb, bboxes=bboxes, labels=labels, captions=captions)

# instance masks
masks = data["masks"] == 1
maskviz = imgviz.instances2rgb(image=rgb, masks=masks, labels=labels, captions=captions)

# 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,
)

def instances2rgb():
    data = imgviz.data.voc()

    captions = [data["class_names"][l] for l in data["labels"]]
    insviz1 = imgviz.instances2rgb(
        image=data["rgb"],
        bboxes=data["bboxes"],
        labels=data["labels"],
        captions=captions,
    )
    insviz2 = imgviz.instances2rgb(
        image=data["rgb"],
        masks=data["masks"] == 1,
        labels=data["labels"],
        captions=captions,
    )

    # -------------------------------------------------------------------------

    plt.figure(dpi=200)

    plt.subplot(131)
    plt.title("rgb")
    plt.imshow(data["rgb"])
    plt.axis("off")

    plt.subplot(132)

depthviz = imgviz.depth2rgb(depth, min_value=0.3, max_value=1)

# colorize label image
class_label = data["class_label"]
labelviz = imgviz.label2rgb(class_label, label_names=data["class_names"])

# instance bboxes
rgb = data["rgb"]
bboxes = data["bboxes"].astype(int)
labels = data["labels"]
captions = [data["class_names"][l] for l in labels]
bboxviz = imgviz.instances2rgb(image=rgb, bboxes=bboxes, labels=labels, captions=captions)

# instance masks
masks = data["masks"] == 1
maskviz = imgviz.instances2rgb(image=rgb, masks=masks, labels=labels, captions=captions)

# 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")