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- # 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 APP_HOME /usr/src/ultralytics
- # 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 $APP_HOME
- # Copy contents and assign permissions
- COPY . $APP_HOME
- RUN git remote set-url origin https://github.com/ultralytics/ultralytics.git
- ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
- # Remove opencv-python from Ultralytics dependencies as it conflicts with opencv-python installed in base image
- RUN grep -v "opencv-python" pyproject.toml > temp.toml && mv temp.toml 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 --no-cache-dir -e ".[export]"
- # 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
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