This is a citizen science project which aims to understand what is considered by people as a "good" image when it comes to images that have been artificially recovered from some type of image degradation.
Currently we are testing images that have been denoised using a modified first-order primal-dual algorithm.
This frontend is made with the framework
Yew
and uses
Trunk
to bundle the Rust code to
WebAssembly.TailwindCSS
was used for styling, svg icons in src/assets/ were obtained from
heroicons.com.
Requires wasm-pack.
wasm-pack test --firefox --headless
wasm-pack test --chrome --headless
Requires node, rust and trunk.
Install the wasm target if you don't have it already:
rustup target add wasm32-unknown-unknown
Then:
npm install
npm run tailwind-watch
trunk serve
You should now be able to see something like:
INFO 📡 server listening at http://127.0.0.1:8080
npm run tailwind-minify
trunk build --release
Artifacts will be in the dist folder.
See [LICENSE]
src/static/robots.txt is based on the project: https://github.com/ai-robots-txt/ai.robots.txt