How to use the imgviz.color function in imgviz

r = np.bitwise_or(r, (bitget(id, 0) << 7 - j))
            g = np.bitwise_or(g, (bitget(id, 1) << 7 - j))
            b = np.bitwise_or(b, (bitget(id, 2) << 7 - j))
            id = id >> 3
        cmap[i, 0] = r
        cmap[i, 1] = g
        cmap[i, 2] = b

    if value is not None:
        hsv = color_module.rgb2hsv(cmap.reshape(1, -1, 3))
        if isinstance(value, float):
            hsv[:, 1:, 2] = hsv[:, 1:, 2].astype(float) * value
        else:
            assert isinstance(value, int)
            hsv[:, 1:, 2] = value
        cmap = color_module.hsv2rgb(hsv).reshape(-1, 3)
    return cmap

def label2rgb():
    data = imgviz.data.voc()

    rgb = data["rgb"]
    label = data["class_label"]

    label_names = [
        "{}:{}".format(i, n) for i, n in enumerate(data["class_names"])
    ]
    labelviz_withname1 = imgviz.label2rgb(
        label, label_names=label_names, font_size=25
    )
    labelviz_withname2 = imgviz.label2rgb(
        label, label_names=label_names, font_size=25, loc="rb"
    )
    img = imgviz.color.rgb2gray(rgb)
    labelviz_withimg = imgviz.label2rgb(label, img=img)

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

    plt.figure(dpi=200)

    plt.subplot(131)
    plt.title("+img")
    plt.imshow(labelviz_withimg)
    plt.axis("off")

    plt.subplot(132)
    plt.title("loc=centroid")
    plt.imshow(labelviz_withname1)
    plt.axis("off")

cmap = np.zeros((n_label, 3), dtype=np.uint8)
    for i in range(0, n_label):
        id = i
        r, g, b = 0, 0, 0
        for j in range(0, 8):
            r = np.bitwise_or(r, (bitget(id, 0) << 7 - j))
            g = np.bitwise_or(g, (bitget(id, 1) << 7 - j))
            b = np.bitwise_or(b, (bitget(id, 2) << 7 - j))
            id = id >> 3
        cmap[i, 0] = r
        cmap[i, 1] = g
        cmap[i, 2] = b

    if value is not None:
        hsv = color_module.rgb2hsv(cmap.reshape(1, -1, 3))
        if isinstance(value, float):
            hsv[:, 1:, 2] = hsv[:, 1:, 2].astype(float) * value
        else:
            assert isinstance(value, int)
            hsv[:, 1:, 2] = value
        cmap = color_module.hsv2rgb(hsv).reshape(-1, 3)
    return cmap