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@ -1563,12 +1563,12 @@ YOLOv9 model can be exported as ONNX using the command below. You can copy and p
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```sh
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docker build . --build-arg MODEL_SIZE=t --build-arg IMG_SIZE=320 --output . -f- <<'EOF'
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FROM python:3.11 AS build
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RUN apt-get update && apt-get install --no-install-recommends -y cmake libgl1 && rm -rf /var/lib/apt/lists/*
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COPY --from=ghcr.io/astral-sh/uv:0.10.4 /uv /bin/
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RUN apt-get update && apt-get install --no-install-recommends -y libgl1 && rm -rf /var/lib/apt/lists/*
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COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /bin/
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WORKDIR /yolov9
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ADD https://github.com/WongKinYiu/yolov9.git .
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RUN uv pip install --system -r requirements.txt
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RUN uv pip install --system onnx==1.18.0 onnxruntime onnx-simplifier==0.4.* onnxscript
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RUN uv pip install --system onnx==1.18.0 onnxruntime onnx-simplifier>=0.4.1 onnxscript
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ARG MODEL_SIZE
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ARG IMG_SIZE
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ADD https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-${MODEL_SIZE}-converted.pt yolov9-${MODEL_SIZE}.pt
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