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40 lines
1.8 KiB
40 lines
1.8 KiB
# 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:lunar-20230615 |
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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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# Install linux packages |
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# g++ required to build 'tflite_support' and 'lap' packages |
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RUN apt update \ |
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&& apt install --no-install-recommends -y python3-pip git zip curl htop libgl1-mesa-glx libglib2.0-0 libpython3-dev gnupg g++ |
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# RUN alias python=python3 |
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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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# 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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# Remove python3.11/EXTERNALLY-MANAGED or use 'pip install --break-system-packages' avoid 'externally-managed-environment' Ubuntu nightly 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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RUN python3 -m pip install --upgrade pip wheel |
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RUN pip install --no-cache -e . thop --extra-index-url https://download.pytorch.org/whl/cpu |
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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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# Pull and Run |
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# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t
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