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60 lines
2.4 KiB
60 lines
2.4 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: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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# Remove exported models |
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RUN rm -rf tmp |
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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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# 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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