Crates.io | oidn |
lib.rs | oidn |
version | 2.2.4 |
source | src |
created_at | 2019-02-09 23:42:22.957474 |
updated_at | 2024-08-31 22:23:58.006393 |
description | A wrapper for the Intel OpenImageDenoise image denoising library. |
homepage | https://github.com/Twinklebear/oidn-rs |
repository | https://github.com/Twinklebear/oidn-rs |
max_upload_size | |
id | 113832 |
size | 41,744 |
oidn
Rust bindings to Intel’s Open Image Denoise library.
Rust docs can be found here.
Open Image Denoise documentation can be found here.
The crate provides a lightweight wrapper over the Open Image Denoise library,
along with raw C bindings exposed under oidn::sys
. Below is an example of
using the RT
filter from Open Image Denoise (the RayTracing
filter) to
denoise an image.
extern crate oidn;
fn main() {
// Load scene, render image, etc.
let input_img: Vec<f32> = // A float3 RGB image produced by your renderer
let mut filter_output = vec![0.0f32; input_img.len()];
let device = oidn::Device::new();
oidn::RayTracing::new(&device)
// Optionally add float3 normal and albedo buffers as well
.srgb(true)
.image_dimensions(input.width() as usize, input.height() as usize);
.filter(&input_img[..], &mut filter_output[..])
.expect("Filter config error!");
if let Err(e) = device.get_error() {
println!("Error denosing image: {}", e.1);
}
// Save out or display filter_output image
}
The simple example loads a JPG, denoises it, and saves the
output image to a JPG. The denoise_exr example loads an
HDR color EXR file, denoises it and saves the tonemapped result out to a JPG.
The denoise_exr
app can also take albedo and normal data through additional
EXR files.