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45 lines
1.7 KiB
45 lines
1.7 KiB
# Ultralytics YOLO 🚀, GPL-3.0 license |
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# Builds ultralytics/ultralytics:latest-arm64 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics |
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# Image is aarch64-compatible for Apple M1 and other ARM architectures i.e. Jetson Nano and Raspberry Pi |
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# Start FROM Ubuntu image https://hub.docker.com/_/ubuntu |
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FROM arm64v8/ubuntu:20.04 |
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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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ENV DEBIAN_FRONTEND noninteractive |
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RUN apt update |
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RUN TZ=Etc/UTC apt install -y tzdata |
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RUN apt install --no-install-recommends -y python3-pip git zip curl htop gcc libgl1-mesa-glx libglib2.0-0 libpython3-dev |
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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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# Install pip packages |
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COPY requirements.txt . |
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RUN python3 -m pip install --upgrade pip wheel |
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RUN pip install --no-cache ultralytics gsutil notebook \ |
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tensorflow-aarch64 |
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# tensorflowjs \ |
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# onnx onnx-simplifier onnxruntime \ |
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# coremltools openvino-dev \ |
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# Cleanup |
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ENV DEBIAN_FRONTEND teletype |
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# Usage Examples ------------------------------------------------------------------------------------------------------- |
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# Build and Push |
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# t=ultralytics/ultralytics:latest-arm64 && sudo docker build --platform linux/arm64 -f docker/Dockerfile-arm64 -t $t . && sudo docker push $t |
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# Pull and Run |
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# t=ultralytics/ultralytics:latest-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t
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