use kornia_rs::image::Image;
use kornia_rs::io::functional as F;

fn main() -> Result<(), Box<dyn std::error::Error>> {
    // read the image
    let image_path = std::path::Path::new("tests/data/dog.jpeg");
    let image: Image<u8, 3> = F::read_image_any(image_path)?;

    let image_f32: Image<f32, 3> = image.cast_and_scale::<f32>(1.0 / 255.0)?;

    // convert the image to grayscale
    let gray: Image<f32, 1> = kornia_rs::color::gray_from_rgb(&image_f32)?;

    let gray_resize: Image<f32, 1> = kornia_rs::resize::resize_native(
        &gray,
        kornia_rs::image::ImageSize {
            width: 128,
            height: 128,
        },
        kornia_rs::interpolation::InterpolationMode::Bilinear,
    )?;

    println!("gray_resize: {:?}", gray_resize.size());

    // create a Rerun recording stream
    let rec = rerun::RecordingStreamBuilder::new("Kornia App").spawn()?;

    // log the images
    rec.log("image", &rerun::Image::try_from(image_f32.data)?)?;
    rec.log("gray", &rerun::Image::try_from(gray.data)?)?;
    rec.log("gray_resize", &rerun::Image::try_from(gray_resize.data)?)?;

    Ok(())
}