oidn 2.4.1

A wrapper for the Intel OpenImageDenoise image denoising library.
Documentation 
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extern crate image;
extern crate oidn;

use std::env;

/// A simple test application that shows opening a color image and passing
/// it to OIDN for denoising. The denoised image is then saved out.
fn main() {
    let args: Vec<_> = env::args().collect();
    let input = image::open(&args[1][..])
        .expect("Failed to open input image")
        .to_rgb8();

    // OIDN works on float images only, so convert this to a floating point image
    let mut input_img = vec![0.0f32; (3 * input.width() * input.height()) as usize];
    for y in 0..input.height() {
        for x in 0..input.width() {
            let p = input.get_pixel(x, y);
            for c in 0..3 {
                input_img[3 * ((y * input.width() + x) as usize) + c] = p[c] as f32 / 255.0;
            }
        }
    }

    println!("Image dims {}x{}", input.width(), input.height());

    let mut filter_output = vec![0.0f32; input_img.len()];

    let device = oidn::Device::new();
    let mut filter = oidn::RayTracing::new(&device);
    filter
        .srgb(true)
        .image_dimensions(input.width() as usize, input.height() as usize);
    filter
        .filter(&input_img[..], &mut filter_output[..])
        .expect("Invalid input image dimensions?");

    if let Err(e) = device.get_error() {
        println!("Error denosing image: {}", e.1);
    }

    let mut output_img = vec![0u8; filter_output.len()];
    for i in 0..filter_output.len() {
        let p = filter_output[i] * 255.0;
        if p < 0.0 {
            output_img[i] = 0;
        } else if p > 255.0 {
            output_img[i] = 255;
        } else {
            output_img[i] = p as u8;
        }
    }

    image::save_buffer(
        &args[2][..],
        &output_img[..],
        input.width(),
        input.height(),
        image::ColorType::Rgb8,
    )
    .expect("Failed to save output image");
}