- Is aiming to be a simple command line utility for denosiing .exr sequences using Intel Open Image Denoise.
- For Linux appimage is provided, which should work out of the box.
- For Windows and MacOS building should via cargo should work, but I did not test it yet.
- The denoised .exr file contains only the denoised layer, other layers from the original file are stripped.
-b, --beauty <beauty> a beauty .exr file or sequence using the foo.####.exr pattern
-a, --albedo <albedo> a albedo .exr file or sequence using the foo.####.exr pattern
-n, --normal <normal> a normal .exr file or sequence using the foo.####.exr pattern
-e, --layerbeauty <layerbeauty> OPTIONAL - name of layer to denoise inside the beauty exr, defaults to main_layer
-l, --layeralbedo <layeralbedo> OPTIONAL - name of layer to denoise inside the albedo exr, defaults to main_layer
-o, --layernormal <layernormal> OPTIONAL - name of layer to denoise inside the normal exr, defaults to main_layer
-x, --license Print license information
-h, --help Print help
-V, --version Print version
- download and make it executable
- run via commandline:
./oidn-cmd-0.1.0-x86_64.AppImage -b tests/beauty.####.exr -a tests/denoising_albedo.####.exr -n tests/denoising_normal.####.exr
- clone
- download and extract OIDN into include/oidn-2.2.2.x86_64.linux/
- build / run:
cargo run --release -- -b tests/beauty.####.exr -a tests/denoising_albedo.####.exr -n tests/denoising_normal.####.exr
- same steps as for cargo
- download the appimage-builder and make it exectuable, I also tend to remove the .AppImage in the file name.
- you can put it to e.g. /home/your-user/.local/bin/ to have it available everywhere.
- cd into oidn-cmd directory and run appimage-builder
This repository is licensed under MIT license.
The .appimage release contains unaltered files of Intel® Open Image Denoise release, which is licensed under Apache License Version 2.0,
see https://github.com/RenderKit/oidn/blob/master/LICENSE.txt for more information.