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Pin onnx in rfdetr model generation command (#21127)

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* pin onnx in rfdetr model generation command

* Apply suggestion from @NickM-27

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
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Josh Hawkins 2025-12-02 08:15:12 -06:00 committed by GitHub
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docs/docs/configuration/object_detectors.md
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@ -1007,12 +1007,12 @@ EOF
RF-DETR can be exported as ONNX by running the command below. You can copy and paste the whole thing to your terminal and execute, altering `MODEL_SIZE=Nano` in the first line to `Nano`, `Small`, or `Medium` size. RF-DETR can be exported as ONNX by running the command below. You can copy and paste the whole thing to your terminal and execute, altering `MODEL_SIZE=Nano` in the first line to `Nano`, `Small`, or `Medium` size.
```sh ```sh
docker build . --build-arg MODEL_SIZE=Nano --output . -f- <<'EOF' docker build . --build-arg MODEL_SIZE=Nano --rm --output . -f- <<'EOF'
FROM python:3.11 AS build FROM python:3.11 AS build
RUN apt-get update && apt-get install --no-install-recommends -y libgl1 && rm -rf /var/lib/apt/lists/* RUN apt-get update && apt-get install --no-install-recommends -y libgl1 && rm -rf /var/lib/apt/lists/*
COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /bin/ COPY --from=ghcr.io/astral-sh/uv:0.8.0 /uv /bin/
WORKDIR /rfdetr WORKDIR /rfdetr
RUN uv pip install --system rfdetr[onnxexport] torch==2.8.0 onnxscript RUN uv pip install --system rfdetr[onnxexport] torch==2.8.0 onnx==1.19.1 onnxscript
ARG MODEL_SIZE ARG MODEL_SIZE
RUN python3 -c "from rfdetr import RFDETR${MODEL_SIZE}; x = RFDETR${MODEL_SIZE}(resolution=320); x.export(simplify=True)" RUN python3 -c "from rfdetr import RFDETR${MODEL_SIZE}; x = RFDETR${MODEL_SIZE}(resolution=320); x.export(simplify=True)"
FROM scratch FROM scratch