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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Builds ultralytics/ultralytics:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLOv8 deployments
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# Start FROM Ubuntu image https://hub.docker.com/_/ubuntu
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FROM ubuntu:23.10
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# Set environment variables
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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PIP_NO_CACHE_DIR=1 \
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PIP_BREAK_SYSTEM_PACKAGES=1
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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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RUN apt update \
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&& apt install --no-install-recommends -y python3-pip git zip unzip wget curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
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# Create working directory
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WORKDIR /ultralytics
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# Copy contents and configure git
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COPY . .
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RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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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 -e ".[export]" --extra-index-url https://download.pytorch.org/whl/cpu
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# Run exports to AutoInstall packages
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RUN yolo export model=tmp/yolov8n.pt format=edgetpu imgsz=32
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RUN yolo export model=tmp/yolov8n.pt format=ncnn imgsz=32
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# Requires Python<=3.10, bug with paddlepaddle==2.5.0 https://github.com/PaddlePaddle/X2Paddle/issues/991
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# RUN pip install "paddlepaddle>=2.6.0" x2paddle
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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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# Remove extra build files
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RUN 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-cpu && sudo docker build -f docker/Dockerfile-cpu -t $t . && sudo docker push $t
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# Run
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# t=ultralytics/ultralytics:latest-cpu && sudo docker run -it --ipc=host --name NAME $t
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# Pull and Run
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# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host --name NAME $t
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# Pull and Run with local volume mounted
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# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/datasets $t
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