* 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 |
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| README.md | ||
| demo.png | ||
| main.rs | ||
README.md
Quick Start
cargo run -r --example yolov10
Export ONNX Model
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Export
# clone repo and install dependencies git clone https://github.com/THU-MIG/yolov10.git cd yolov10 pip install -r requirements.txt # donwload `pt` weights wget https://github.com/THU-MIG/yolov10/releases/download/v1.1/yolov10n.pt # export ONNX model yolo export model=yolov10n.pt format=onnx opset=13 simplify dynamic
