use usls::{models::ImageClassifier, Annotator, DataLoader, Options}; #[derive(argh::FromArgs)] /// Example struct Args { /// dtype #[argh(option, default = "String::from(\"auto\")")] dtype: String, /// device #[argh(option, default = "String::from(\"cpu:0\")")] device: String, /// model name #[argh(option, default = "String::from(\"beit\")")] model: String, /// source image #[argh( option, default = "vec![ String::from(\"images/dog.jpg\"), String::from(\"images/siamese.png\"), String::from(\"images/ailurus-fulgens.jpg\"), ]" )] source: Vec, } fn main() -> anyhow::Result<()> { tracing_subscriber::fmt() .with_env_filter(tracing_subscriber::EnvFilter::from_default_env()) .with_timer(tracing_subscriber::fmt::time::ChronoLocal::rfc_3339()) .init(); let args: Args = argh::from_env(); // build model let options = match args.model.to_lowercase().as_str() { "beit" => Options::beit_base(), "convnext" => Options::convnext_v2_atto(), "deit" => Options::deit_tiny_distill(), "fastvit" => Options::fastvit_t8_distill(), "mobileone" => Options::mobileone_s0(), _ => anyhow::bail!("Unsupported model: {}", args.model), }; let options = options .with_model_dtype(args.dtype.as_str().try_into()?) .with_model_device(args.device.as_str().try_into()?) .commit()?; let mut model = ImageClassifier::try_from(options)?; // load images let xs = DataLoader::try_read_n(&args.source)?; // run let ys = model.forward(&xs)?; println!("{:?}", ys); // annotate let annotator = Annotator::default(); for (x, y) in xs.iter().zip(ys.iter()) { annotator.annotate(x, y)?.save(format!( "{}.jpg", usls::Dir::Current .base_dir_with_subs(&["runs", "Image-Classifier", &args.model])? .join(usls::timestamp(None)) .display(), ))?; } Ok(()) }