# Ultralytics YOLO 🚀, AGPL-3.0 license # Builds ultralytics/ultralytics:jetson-jetson-jetpack5 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics # Supports JetPack5.x for YOLOv8 on Jetson Xavier NX, AGX Xavier, AGX Orin, Orin Nano and Orin NX # Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch FROM nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3 # 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 when exporting to TFLite # pkg-config and libhdf5-dev (not included) are needed to build 'h5py==3.11.0' aarch64 wheel required by 'tensorflow' RUN apt update \ && apt install --no-install-recommends -y gcc git zip unzip wget curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0 # 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/v8.2.0/yolov8n.pt . # Remove opencv-python from Ultralytics dependencies as it conflicts with opencv-python installed in base image RUN sed -i '/opencv-python/d' pyproject.toml # Download onnxruntime-gpu 1.15.1 for Jetson Linux 35.2.1 (JetPack 5.1). Other versions can be seen in https://elinux.org/Jetson_Zoo#ONNX_Runtime ADD https://nvidia.box.com/shared/static/mvdcltm9ewdy2d5nurkiqorofz1s53ww.whl onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl # Install pip packages manually for TensorRT compatibility https://github.com/NVIDIA/TensorRT/issues/2567 RUN python3 -m pip install --upgrade pip wheel RUN pip install onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl RUN pip install -e ".[export]" RUN rm *.whl # Usage Examples ------------------------------------------------------------------------------------------------------- # Build and Push # t=ultralytics/ultralytics:latest-jetson-jetpack5 && sudo docker build --platform linux/arm64 -f docker/Dockerfile-jetson-jetpack5 -t $t . && sudo docker push $t # Run # t=ultralytics/ultralytics:latest-jetson-jetpack5 && sudo docker run -it --ipc=host $t # Pull and Run # t=ultralytics/ultralytics:latest-jetson-jetpack5 && sudo docker pull $t && sudo docker run -it --ipc=host $t # Pull and Run with NVIDIA runtime # t=ultralytics/ultralytics:latest-jetson-jetpack5 && sudo docker pull $t && sudo docker run -it --ipc=host --runtime=nvidia $t