# Ultralytics YOLO 🚀, AGPL-3.0 license # Builds ultralytics/ultralytics:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics # Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLO11 deployments # Use official Python base image for reproducibility (3.11.10 for export and 3.12.6 for inference) FROM python:3.11.10-slim-bookworm # Set environment variables ENV PYTHONUNBUFFERED=1 \ PYTHONDONTWRITEBYTECODE=1 \ PIP_NO_CACHE_DIR=1 \ PIP_BREAK_SYSTEM_PACKAGES=1 # Downloads to user config dir ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \ https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \ /root/.config/Ultralytics/ # Install linux packages # g++ required to build 'tflite_support' and 'lap' packages, libusb-1.0-0 required for 'tflite_support' package RUN apt-get update && \ apt-get install -y --no-install-recommends \ python3-pip git zip unzip wget curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0 \ && rm -rf /var/lib/apt/lists/* # Create working directory WORKDIR /ultralytics # Copy contents and configure git COPY . . RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt . # Install pip packages RUN python3 -m pip install --upgrade pip wheel RUN pip install -e ".[export]" --extra-index-url https://download.pytorch.org/whl/cpu # Run exports to AutoInstall packages RUN yolo export model=tmp/yolo11n.pt format=edgetpu imgsz=32 RUN yolo export model=tmp/yolo11n.pt format=ncnn imgsz=32 # Requires Python<=3.10, bug with paddlepaddle==2.5.0 https://github.com/PaddlePaddle/X2Paddle/issues/991 RUN pip install "paddlepaddle>=2.6.0" x2paddle # Remove extra build files RUN rm -rf tmp /root/.config/Ultralytics/persistent_cache.json # Usage Examples ------------------------------------------------------------------------------------------------------- # Build and Push # t=ultralytics/ultralytics:latest-python && sudo docker build -f docker/Dockerfile-python -t $t . && sudo docker push $t # Run # t=ultralytics/ultralytics:latest-python && sudo docker run -it --ipc=host $t # Pull and Run # t=ultralytics/ultralytics:latest-python && sudo docker pull $t && sudo docker run -it --ipc=host $t # Pull and Run with local volume mounted # t=ultralytics/ultralytics:latest-python && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/datasets $t