# YOLOv5 π by Ultralytics, GPL-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:rolling | |
# 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-mesa-glx 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 (issues as not a .git directory) | |
RUN git clone https://github.com/ultralytics/yolov5 /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 | |