| # 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 YOLO11 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-get update && \ | |
| apt-get install -y --no-install-recommends \ | |
| gcc 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 . | |
| # 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]" | |
| # Remove extra build files | |
| RUN rm -rf *.whl /root/.config/Ultralytics/persistent_cache.json | |
| # 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 | |