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0cc062807f
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
42 lines
1.9 KiB
Plaintext
42 lines
1.9 KiB
Plaintext
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Builds ultralytics/ultralytics:latest-python-export image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Full-featured image with export capabilities for YOLO model conversion
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# Build from lightweight Ultralytics Python image
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FROM ultralytics/ultralytics:latest-python
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# Install export-specific system packages
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# gnupg required for Edge TPU install
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# Java runtime environment (default-jre-headless) required for Sony IMX export
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RUN apt-get update && \
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apt-get install -y --no-install-recommends gnupg default-jre-headless && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# Install export dependencies and run exports to AutoInstall packages
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RUN uv pip install --system -e ".[export]" && \
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# Need lower version of 'numpy' for Sony IMX export
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uv pip install --system numpy==1.26.4 && \
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# Run exports to AutoInstall packages
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yolo export model=yolo11n.pt format=edgetpu imgsz=32 && \
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yolo export model=yolo11n.pt format=ncnn imgsz=32 && \
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yolo export model=yolo11n.pt format=imx imgsz=32 && \
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uv pip install --system paddlepaddle x2paddle && \
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# Remove extra build files
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rm -rf tmp /root/.config/Ultralytics/persistent_cache.json
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# Usage Examples -------------------------------------------------------------------------------------------------------
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# Build and Push
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# t=ultralytics/ultralytics:latest-python-export && sudo docker build -f docker/Dockerfile-python-export -t $t . && sudo docker push $t
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# Run
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# t=ultralytics/ultralytics:latest-python-export && sudo docker run -it --ipc=host $t
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# Pull and Run
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# t=ultralytics/ultralytics:latest-python-export && sudo docker pull $t && sudo docker run -it --ipc=host $t
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# Pull and Run with local volume mounted
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# t=ultralytics/ultralytics:latest-python-export && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/datasets $t
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