Files
usls/examples/yolo-sam/main.rs
Jamjamjon 0f2d84b8c5 🐍 v0.1.0 (#53)
2025-01-12 16:59:57 +08:00

70 lines
1.9 KiB
Rust

use anyhow::Result;
use usls::{
models::{SamPrompt, SAM, YOLO},
Annotator, DataLoader, Options, Scale,
};
#[derive(argh::FromArgs)]
/// Example
struct Args {
/// device
#[argh(option, default = "String::from(\"cpu:0\")")]
device: String,
}
fn main() -> 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 SAM
let (options_encoder, options_decoder) = (
Options::mobile_sam_tiny_encoder().commit()?,
Options::mobile_sam_tiny_decoder().commit()?,
);
let mut sam = SAM::new(options_encoder, options_decoder)?;
// build YOLOv8
let options_yolo = Options::yolo_detect()
.with_model_scale(Scale::N)
.with_model_version(8.0.into())
.with_model_device(args.device.as_str().try_into()?)
.commit()?;
let mut yolo = YOLO::new(options_yolo)?;
// load one image
let xs = DataLoader::try_read_batch(&["images/dog.jpg"])?;
// build annotator
let annotator = Annotator::default()
.with_bboxes_thickness(7)
.without_bboxes_name(true)
.without_bboxes_conf(true)
.without_mbrs(true)
.with_saveout("YOLO-SAM");
// run & annotate
let ys_det = yolo.forward(&xs)?;
for y_det in ys_det.iter() {
if let Some(bboxes) = y_det.bboxes() {
for bbox in bboxes {
let ys_sam = sam.forward(
&xs,
&[SamPrompt::default().with_bbox(
bbox.xmin(),
bbox.ymin(),
bbox.xmax(),
bbox.ymax(),
)],
)?;
annotator.annotate(&xs, &ys_sam);
}
}
}
Ok(())
}