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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Builds ultralytics/ultralytics:latest-arm64 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Image is aarch64-compatible for Apple M1, M2, M3, Raspberry Pi and other ARM architectures
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# Start FROM Ubuntu image https://hub.docker.com/_/ubuntu with "FROM arm64v8/ubuntu:22.04" (deprecated)
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# Start FROM Debian image for arm64v8 https://hub.docker.com/r/arm64v8/debian (new)
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FROM arm64v8/debian:bookworm-slim
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# Set environment variables
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ENV APP_HOME /usr/src/ultralytics
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# Downloads to user config dir
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ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
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https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
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/root/.config/Ultralytics/
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# Install linux packages
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# g++ required to build 'tflite_support' and 'lap' packages, libusb-1.0-0 required for 'tflite_support' package
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# pkg-config and libhdf5-dev (not included) are needed to build 'h5py==3.11.0' aarch64 wheel required by 'tensorflow'
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RUN apt update \
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&& apt install --no-install-recommends -y python3-pip git zip curl htop gcc libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
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# Create working directory
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WORKDIR $APP_HOME
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# Copy contents and assign permissions
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COPY . $APP_HOME
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RUN chown -R root:root $APP_HOME
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
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# Remove python3.11/EXTERNALLY-MANAGED to avoid 'externally-managed-environment' issue, Debian 12 Bookworm error
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RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
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# Install pip packages
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# Install tensorstore from .whl because PyPI does not include aarch64 binaries
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RUN python3 -m pip install --upgrade pip wheel
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RUN pip install --no-cache-dir https://github.com/ultralytics/yolov5/releases/download/v1.0/tensorstore-0.1.59-cp311-cp311-linux_aarch64.whl -e ".[export]"
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# Creates a symbolic link to make 'python' point to 'python3'
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RUN ln -sf /usr/bin/python3 /usr/bin/python
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# Usage Examples -------------------------------------------------------------------------------------------------------
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# Build and Push
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# t=ultralytics/ultralytics:latest-arm64 && sudo docker build --platform linux/arm64 -f docker/Dockerfile-arm64 -t $t . && sudo docker push $t
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# Run
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# t=ultralytics/ultralytics:latest-arm64 && sudo docker run -it --ipc=host $t
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# Pull and Run
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# t=ultralytics/ultralytics:latest-arm64 && 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-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t
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