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			37 lines
		
	
	
		
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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 and other ARM architectures i.e. Jetson Nano and Raspberry Pi
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| 
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| # Start FROM Ubuntu image https://hub.docker.com/_/ubuntu
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| FROM arm64v8/ubuntu:22.10
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| 
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| # Downloads to user config dir
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| ADD https://ultralytics.com/assets/Arial.ttf https://ultralytics.com/assets/Arial.Unicode.ttf /root/.config/Ultralytics/
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| 
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| # Install linux packages
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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-mesa-glx libglib2.0-0 libpython3-dev
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| # RUN alias python=python3
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| 
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| # Create working directory
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| RUN mkdir -p /usr/src/ultralytics
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| WORKDIR /usr/src/ultralytics
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| 
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| # Copy contents
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| # COPY . /usr/src/app  (issues as not a .git directory)
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| RUN git clone https://github.com/ultralytics/ultralytics /usr/src/ultralytics
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| ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt /usr/src/ultralytics/
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| 
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| # Install pip packages
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| RUN python3 -m pip install --upgrade pip wheel
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| RUN pip install --no-cache -e .
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| 
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| 
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| # Usage Examples -------------------------------------------------------------------------------------------------------
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| 
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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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| 
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| # Pull and Run
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| # t=ultralytics/ultralytics:latest-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t
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