You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
43 lines
1.7 KiB
43 lines
1.7 KiB
# Ultralytics YOLO 🚀, GPL-3.0 license |
|
# Builds ultralytics/ultralytics:latest-arm64 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics |
|
# 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:20.04 |
|
|
|
# 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 |
|
|
|
# Create working directory |
|
RUN mkdir -p /usr/src/ultralytics |
|
WORKDIR /usr/src/ultralytics |
|
|
|
# Copy contents |
|
# COPY . /usr/src/app (issues as not a .git directory) |
|
RUN git clone https://github.com/ultralytics/ultralytics /usr/src/ultralytics |
|
|
|
# Install pip packages |
|
COPY requirements.txt . |
|
RUN python3 -m pip install --upgrade pip wheel |
|
RUN pip install --no-cache ultralytics gsutil notebook \ |
|
tensorflow-aarch64 onnx onnx-simplifier onnxruntime coremltools openvino-dev |
|
# tensorflowjs \ |
|
|
|
# Cleanup |
|
ENV DEBIAN_FRONTEND teletype |
|
|
|
|
|
# Usage Examples ------------------------------------------------------------------------------------------------------- |
|
|
|
# Build and Push |
|
# t=ultralytics/ultralytics:latest-arm64 && sudo docker build --platform linux/arm64 -f utils/docker/Dockerfile-arm64 -t $t . && sudo docker push $t |
|
|
|
# Pull and Run |
|
# t=ultralytics/ultralytics:latest-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t
|
|
|