How to use the imgviz.resize function in imgviz

def nchannel2rgb():
    data = imgviz.data.arc2017()

    np.random.seed(1234)  # for PCA
    nchannel_viz = imgviz.nchannel2rgb(data["res4"], dtype=np.float32)

    H, W = data["rgb"].shape[:2]
    nchannel_viz = imgviz.resize(nchannel_viz, height=H, width=W)
    nchannel_viz = (nchannel_viz * 255).round().astype(np.uint8)

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

    plt.figure(dpi=200)

    plt.subplot(121)
    plt.title("rgb")
    plt.imshow(data["rgb"])
    plt.axis("off")

    plt.subplot(122)
    plt.title("res4 (colorized)")
    plt.imshow(nchannel_viz)
    plt.axis("off")

if args.fps is None:
        args.fps = fps_src

    writer = imageio.get_writer(output_file, fps=args.fps * args.speed)

    scale = 1. * args.fps / fps_src

    j = -1
    for i in tqdm.trange(reader.get_length()):
        elapsed_time = i * 1. / meta['fps']
        if elapsed_time < args.start:
            continue

        frame = reader.get_data(i)
        if width is not None and height is not None:
            frame = imgviz.resize(
                frame, height=height, width=width, interpolation='linear'
            )

        j_detail = i * scale
        if int(round(j_detail)) != j:
            writer.append_data(frame)
            j = int(round(j_detail))

        if args.duration:
            duration = elapsed_time - args.start
            if duration >= args.duration:
                break

    reader.close()

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

    rgb = data["rgb"]

    H, W = rgb.shape[:2]
    rgb_resized = imgviz.resize(rgb, height=0.1)

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

    plt.figure(dpi=200)

    plt.subplot(121)
    plt.title("rgb:\n{}".format(rgb.shape))
    plt.imshow(rgb)
    plt.axis("off")

    plt.subplot(122)
    plt.title("rgb_resized:\n{}".format(rgb_resized.shape))
    plt.imshow(rgb_resized)
    plt.axis("off")

    img = imgviz.io.pyplot_to_numpy()