| # YOLOv5 🚀 by Ultralytics, AGPL-3.0 license | |
| # Builds ultralytics/yolov5:latest-arm64 image on DockerHub https://hub.docker.com/r/ultralytics/yolov5 | |
| # Image is aarch64-compatible for Apple M1 and other ARM architectures i.e. Jetson Nano and Raspberry Pi | |
| # Start FROM Ubuntu image https://hub.docker.com/_/ubuntu | |
| FROM arm64v8/ubuntu:22.10 | |
| # 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 | |
| ENV DEBIAN_FRONTEND noninteractive | |
| RUN apt update | |
| RUN TZ=Etc/UTC apt install -y tzdata | |
| RUN apt install --no-install-recommends -y python3-pip git zip curl htop gcc libgl1 libglib2.0-0 libpython3-dev | |
| # RUN alias python=python3 | |
| # Install pip packages | |
| COPY requirements.txt . | |
| RUN python3 -m pip install --upgrade pip wheel | |
| RUN pip install --no-cache -r requirements.txt albumentations gsutil notebook \ | |
| coremltools onnx onnxruntime | |
| # tensorflow-aarch64 tensorflowjs \ | |
| # Create working directory | |
| RUN mkdir -p /usr/src/app | |
| WORKDIR /usr/src/app | |
| # Copy contents | |
| COPY . /usr/src/app | |
| ENV DEBIAN_FRONTEND teletype | |
| # Usage Examples ------------------------------------------------------------------------------------------------------- | |
| # Build and Push | |
| # t=ultralytics/yolov5:latest-arm64 && sudo docker build --platform linux/arm64 -f utils/docker/Dockerfile-arm64 -t $t . && sudo docker push $t | |
| # Pull and Run | |
| # t=ultralytics/yolov5:latest-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t | |