0.0.5 (#24)

* Using Rayon to accelarate YOLO post-processing

* Refactor YOLO with outputs format

* Optimize `conf * clss` for yolov5 v6 v7

* Add depth-anything-v2

* Update README.md

* Update CHANGELOG.md

examples/rtdetr/README.md

@@ -1,21 +0,0 @@
-## Quick Start
-
-```shell
-cargo run -r --example rtdetr
-```
-
-## Donwload or export ONNX Model
-
-- Export
-
-  ```bash
-  pip install -U ultralytics
-  yolo export model=rtdetr-l.pt format=onnx simplify dynamic opset=16
-  ```
-- Download
-
-  [rtdetr-l-f16 model](https://github.com/jamjamjon/assets/releases/download/v0.0.1/rtdetr-l-f16.onnx)
-
-## Results
-
-![](./demo.png)

examples/rtdetr/main.rs

@@ -1,22 +0,0 @@
-use usls::{coco, models::RTDETR, Annotator, DataLoader, Options};
-
-fn main() -> Result<(), Box<dyn std::error::Error>> {
-    // build model
-    let options = Options::default()
-        .with_model("rtdetr-l-f16.onnx")?
-        .with_confs(&[0.4, 0.15])
-        .with_names(&coco::NAMES_80);
-    let mut model = RTDETR::new(options)?;
-
-    // load image
-    let x = vec![DataLoader::try_read("./assets/bus.jpg")?];
-
-    // run
-    let y = model.run(&x)?;
-
-    // annotate
-    let annotator = Annotator::default().with_saveout("RT-DETR");
-    annotator.annotate(&x, &y);
-
-    Ok(())
-}