#opencl #image-processing #computer-vision #gray #flip #gaussian #blur

climage

Rust implementation of image processing library with OpenCL

1 unstable release

0.1.0 Dec 12, 2022

#669 in Images

MIT license

135KB
541 lines

climage

Rust implementation of image processing library with OpenCL.

Core feature

  • Use ocl crate
  • Implemented algorithms
    • Convert gray scale
    • Gaussian blur
    • Horizontal/Vertical flip
    • Bilateral filter

Getting started

use climage;
use climage::ImageProc;

fn main() {
    let context = climage::ClContext::default();
    let mut blur = climage::GaussianBlur::new(&context, 2);
    let img = climage::ClImageBuffer::from_readonly_host_image(
        &context,
        image::open("examples/lenna.png").unwrap().into_rgba8(),
    );
    let mut out = climage::ClImageBuffer::from_writeonly_host_image(
        &context,
        image::ImageBuffer::<image::Rgba<u8>, Vec<u8>>::new(img.dimensions().0, img.dimensions().1),
    );
    blur.build_kernel(&img, &mut out).run();
    let mut out_img =
        image::ImageBuffer::<image::Rgba<u8>, Vec<u8>>::new(out.dimensions().0, out.dimensions().1);
    out.data.read(&mut out_img).enq().unwrap();
    out_img.save("examples/lena_blur.png").unwrap();
}

Run example

cargo run --release --example gaussian_blur

Dependencies

~7.5MB
~111K SLoC