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# Ultralytics 🚀 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=tmp/yolo11n.pt format=edgetpu imgsz=32 && \
    yolo export model=tmp/yolo11n.pt format=ncnn imgsz=32 && \
    yolo export model=tmp/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