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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license | |
# Builds ultralytics/yolov5:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/yolov5 | |
# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLOv5 deployments | |
# Start FROM Ubuntu image https://hub.docker.com/_/ubuntu | |
FROM 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 libgl1-mesa-glx libglib2.0-0 libpython3-dev gnupg | |
# 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 albumentations gsutil notebook \ | |
coremltools onnx onnx-simplifier onnxruntime tensorflow-cpu tensorflowjs \ | |
# openvino-dev \ | |
--extra-index-url https://download.pytorch.org/whl/cpu | |
# 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-cpu && sudo docker build -f utils/docker/Dockerfile-cpu -t $t . && sudo docker push $t | |
# Pull and Run | |
# t=ultralytics/yolov5:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t | |