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50 lines
2.3 KiB
50 lines
2.3 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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# Use the official Python 3.10 slim-bookworm as base image
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FROM python:3.10-slim-bookworm
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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, 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 curl htop libgl1-mesa-glx libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
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# RUN alias python=python3
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# Create working directory
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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 ".[export]" thop --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
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RUN pip install --no-cache paddlepaddle==2.4.2 x2paddle
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# Remove exported models
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RUN rm -rf tmp
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# Usage Examples -------------------------------------------------------------------------------------------------------
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# Build and Push
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# t=ultralytics/ultralytics:latest-python && sudo docker build -f docker/Dockerfile-python -t $t . && sudo docker push $t
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# Run
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# t=ultralytics/ultralytics:latest-python && 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-python && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t
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