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# 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
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
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/v8.3.0/yolo11n.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 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