# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license # Builds ultralytics/ultralytics:latest-conda image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics # Image is optimized for Ultralytics Anaconda (https://anaconda.org/conda-forge/ultralytics) installation and usage # Start FROM miniconda3 image https://hub.docker.com/r/continuumio/miniconda3 FROM continuumio/miniconda3:latest # 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 and conda packages RUN apt-get update && \ apt-get install -y --no-install-recommends libgl1 && \ apt-get clean && \ # Install conda packages # mkl required to fix 'OSError: libmkl_intel_lp64.so.2: cannot open shared object file: No such file or directory' conda config --set solver libmamba && \ conda install -y pytorch torchvision pytorch-cuda=12.1 -c pytorch -c nvidia && \ conda install -y -c conda-forge ultralytics mkl && \ conda clean -afy && \ # Remove extra build files rm -rf /var/lib/apt/lists/* /root/.config/Ultralytics/persistent_cache.json # Copy model ADD https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n.pt . # Usage -------------------------------------------------------------------------------------------------------------- # Production builds: https://github.com/ultralytics/ultralytics/blob/main/.github/workflows/docker.yml # Example (build): t=ultralytics/ultralytics:latest-conda && docker build -f docker/Dockerfile-conda -t $t . # Example (push): docker push $t # Example (pull): t=ultralytics/ultralytics:latest-conda && 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