44 lines
1.7 KiB
Plaintext
44 lines
1.7 KiB
Plaintext
|
# YOLOv5 🚀 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: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
|
||
|
|
|
||
|
|
# Install pip packages
|
||
|
|
COPY requirements.txt .
|
||
|
|
RUN python3 -m pip install --upgrade pip wheel
|
||
|
|
RUN pip install --no-cache -r requirements.txt ultralytics gsutil notebook \
|
||
|
|
tensorflow-aarch64
|
||
|
|
# tensorflowjs \
|
||
|
|
# onnx onnx-simplifier onnxruntime \
|
||
|
|
# coremltools openvino-dev \
|
||
|
|
|
||
|
|
# 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
|