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- # Ultralytics YOLO 🚀, AGPL-3.0 license
- # Builds ultralytics/ultralytics:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
- # Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLOv8 deployments
- # Start FROM Ubuntu image https://hub.docker.com/_/ubuntu
- FROM ubuntu:lunar-20230615
- # Downloads to user config dir
- ADD https://ultralytics.com/assets/Arial.ttf https://ultralytics.com/assets/Arial.Unicode.ttf /root/.config/Ultralytics/
- # Install linux packages
- # g++ required to build 'tflite_support' and 'lap' packages, libusb-1.0-0 required for 'tflite_support' package
- RUN apt update \
- && apt install --no-install-recommends -y python3-pip git zip curl htop libgl1-mesa-glx libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
- # RUN alias python=python3
- # Create working directory
- WORKDIR /usr/src/ultralytics
- # Copy contents
- # COPY . /usr/src/app (issues as not a .git directory)
- RUN git clone https://github.com/ultralytics/ultralytics /usr/src/ultralytics
- ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt /usr/src/ultralytics/
- # Remove python3.11/EXTERNALLY-MANAGED or use 'pip install --break-system-packages' avoid 'externally-managed-environment' Ubuntu nightly error
- RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
- # Install pip packages
- RUN python3 -m pip install --upgrade pip wheel
- RUN pip install --no-cache -e ".[export]" thop --extra-index-url https://download.pytorch.org/whl/cpu
- # Run exports to AutoInstall packages
- RUN yolo export model=tmp/yolov8n.pt format=edgetpu imgsz=32
- RUN yolo export model=tmp/yolov8n.pt format=ncnn imgsz=32
- # Requires <= Python 3.10, bug with paddlepaddle==2.5.0
- # RUN pip install --no-cache paddlepaddle==2.4.2 x2paddle
- # Remove exported models
- RUN rm -rf tmp
- # Usage Examples -------------------------------------------------------------------------------------------------------
- # Build and Push
- # t=ultralytics/ultralytics:latest-cpu && sudo docker build -f docker/Dockerfile-cpu -t $t . && sudo docker push $t
- # Run
- # t=ultralytics/ultralytics:latest-cpu && sudo docker run -it --ipc=host $t
- # Pull and Run with local volume mounted
- # 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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