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Change VARIANT to MODEL_SIZE
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@ -1035,7 +1035,7 @@ python3 yolo_to_onnx.py -m yolov7-320
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YOLOv9 model can be exported as ONNX using the below command:
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```sh
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docker build . --build-arg VARIANT=t --output . -f- <<'EOF'
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docker build . --build-arg MODEL_SIZE=t --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 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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@ -1043,12 +1043,12 @@ 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 onnxruntime onnx-simplifier>=0.4.1
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ARG VARIANT
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ADD https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-${VARIANT}-converted.pt yolov9-${VARIANT}.pt
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ARG MODEL_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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RUN sed -i "s/ckpt = torch.load(attempt_download(w), map_location='cpu')/ckpt = torch.load(attempt_download(w), map_location='cpu', weights_only=False)/g" models/experimental.py
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RUN python3 export.py --weights ./yolov9-${VARIANT}.pt --imgsz 320 --simplify --include onnx
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RUN python3 export.py --weights ./yolov9-${MODEL_SIZE}.pt --imgsz 320 --simplify --include onnx
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FROM scratch
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ARG VARIANT
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COPY --from=build /yolov9/yolov9-${VARIANT}.onnx /
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ARG MODEL_SIZE
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COPY --from=build /yolov9/yolov9-${MODEL_SIZE}.onnx /
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EOF
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```
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