Files
usls/examples/classifier/main.rs
2025-04-27 13:01:51 +08:00

75 lines
2.0 KiB
Rust

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<String>,
}
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(())
}