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Ultralytics:main
ultralytics:improve-yoloe-doc
# Ultralytics ๐ AGPL-3.0 License - https://ultralytics.com/license # Builds ultralytics/ultralytics:latest-python-export image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics # Full-featured image with export capabilities for YOLO model conversion # Build from lightweight Ultralytics Python image FROM ultralytics/ultralytics:latest-python # Install export-specific system packages # gnupg required for Edge TPU install # Java runtime environment (default-jre-headless) required for Sony IMX export RUN apt-get update && \ apt-get install -y --no-install-recommends gnupg default-jre-headless && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* # Install export dependencies and run exports to AutoInstall packages RUN uv pip install --system -e ".[export]" && \ # Need lower version of 'numpy' for Sony IMX export uv pip install --system numpy==1.26.4 && \ # Run exports to AutoInstall packages yolo export model=yolo11n.pt format=edgetpu imgsz=32 && \ yolo export model=yolo11n.pt format=ncnn imgsz=32 && \ yolo export model=yolo11n.pt format=imx imgsz=32 && \ uv pip install --system paddlepaddle x2paddle && \ # Remove extra build files rm -rf tmp /root/.config/Ultralytics/persistent_cache.json # Usage Examples ------------------------------------------------------------------------------------------------------- # Build and Push # t=ultralytics/ultralytics:latest-python-export && sudo docker build -f docker/Dockerfile-python-export -t $t . && sudo docker push $t # Run # t=ultralytics/ultralytics:latest-python-export && sudo docker run -it --ipc=host $t # Pull and Run # t=ultralytics/ultralytics:latest-python-export && sudo docker pull $t && sudo docker run -it --ipc=host $t # Pull and Run with local volume mounted # 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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