How to use the imgviz.tile function in imgviz

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")
imgviz.io.imsave(out_file, tiled)

img = imgviz.io.imread(out_file)
plt.imshow(img)

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")
imgviz.io.imsave(out_file, tiled)

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

def tile():
    data = imgviz.data.arc2017()

    rgb = data["rgb"]
    bboxes = data["bboxes"].astype(int)
    masks = data["masks"] == 1
    crops = []
    for bbox, mask in zip(bboxes, masks):
        slice_ = slice(bbox[0], bbox[2]), slice(bbox[1], bbox[3])
        rgb_crop = rgb[slice_]
        mask_crop = mask[slice_]
        crops.append(rgb_crop * mask_crop[:, :, None])
    tiled = imgviz.tile(imgs=crops, border=(255, 255, 255))

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

    plt.figure(dpi=200)

    plt.subplot(121)
    plt.title("original")
    plt.imshow(rgb)
    plt.axis("off")

    plt.subplot(122)
    plt.title("instances")
    plt.imshow(tiled)
    plt.axis("off")

    img = imgviz.io.pyplot_to_numpy()