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https://github.com/mii443/usls.git
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a5141a53be
* Add X struct to handle input and preprocessing *Add Ops struct to manage common operations * Use SIMD (fast_image_resize) to accelerate model pre-processing and post-processing
46 lines
1.4 KiB
Rust
46 lines
1.4 KiB
Rust
use usls::{coco, models::YOLO, Annotator, DataLoader, Options, Vision};
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fn main() -> Result<(), Box<dyn std::error::Error>> {
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// build model
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let options = Options::default()
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// .with_model("yolov8m-dyn.onnx")?
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// .with_model("yolov8m-dyn-f16.onnx")?
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// .with_model("yolov8m-pose-dyn.onnx")?
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// .with_model("yolov8m-cls-dyn.onnx")?
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.with_model("yolov8m-seg-dyn.onnx")?
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// .with_model("yolov8m-obb-dyn.onnx")?
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// .with_model("yolov8m-oiv7-dyn.onnx")?
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// .with_trt(0)
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// .with_fp16(true)
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// .with_coreml(0)
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// .with_cuda(3)
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.with_i00((1, 1, 4).into())
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.with_i02((224, 640, 800).into())
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.with_i03((224, 640, 800).into())
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.with_confs(&[0.4, 0.15]) // class 0: 0.4, others: 0.15
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.with_names2(&coco::KEYPOINTS_NAMES_17)
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.with_profile(false);
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let mut model = YOLO::new(options)?;
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// build dataloader
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let dl = DataLoader::default()
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.with_batch(1)
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.load("./assets/bus.jpg")?;
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// .load("./assets/dota.png")?;
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// build annotate
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let annotator = Annotator::default()
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.with_skeletons(&coco::SKELETONS_16)
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.with_bboxes_thickness(7)
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.with_saveout("YOLOv8");
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// run & annotate
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for (xs, _paths) in dl {
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let ys = model.run(&xs)?;
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// let ys = model.forward(&xs, true)?;
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annotator.annotate(&xs, &ys);
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}
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Ok(())
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}
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