# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license # Builds ultralytics/ultralytics:latest-python image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics # Lightweight CPU image optimized for YOLO inference # Use official Python base image for reproducibility (3.11.10 for export and 3.12.10 for inference) FROM python:3.11.10-slim-bookworm # Set environment variables (suppress PyTorch NNPACK warnings) ENV PYTHONUNBUFFERED=1 \ PYTHONDONTWRITEBYTECODE=1 \ PIP_NO_CACHE_DIR=1 \ PIP_BREAK_SYSTEM_PACKAGES=1 \ UV_BREAK_SYSTEM_PACKAGES=1 \ TORCH_CPP_LOG_LEVEL=ERROR # 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 RUN apt-get update && \ apt-get install -y --no-install-recommends \ python3-pip git zip unzip wget curl htop libgl1 libglib2.0-0 && \ apt-get clean && \ 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 && \ sed -i'' -e 's/"opencv-python/"opencv-python-headless/' pyproject.toml ADD https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n.pt . # Install pip packages RUN pip install uv && \ uv pip install --system -e . --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match && \ # Remove extra build files rm -rf tmp ~/.cache /root/.config/Ultralytics/persistent_cache.json # Usage -------------------------------------------------------------------------------------------------------------- # Production builds: https://github.com/ultralytics/ultralytics/blob/main/.github/workflows/docker.yml # Example (build): t=ultralytics/ultralytics:latest-python && docker build -f docker/Dockerfile-python -t $t . # Example (push): docker push $t # Example (pull): t=ultralytics/ultralytics:latest-python && docker pull $t # Example (run): docker run -it --ipc=host $t # Example (run-with-volume): docker run -it --ipc=host -v "$PWD/shared/datasets:/datasets" $t