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Dockerfile-jetson-jetpack5 2.8 KB

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  1. # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
  2. # Builds ultralytics/ultralytics:latest-jetson-jetpack5 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
  3. # Supports JetPack5.1.2 for YOLO on Jetson Xavier NX, AGX Xavier, AGX Orin, Orin Nano and Orin NX
  4. # Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-jetpack
  5. FROM nvcr.io/nvidia/l4t-jetpack:r35.4.1
  6. # Set environment variables
  7. ENV PYTHONUNBUFFERED=1 \
  8. PYTHONDONTWRITEBYTECODE=1 \
  9. PIP_NO_CACHE_DIR=1 \
  10. PIP_BREAK_SYSTEM_PACKAGES=1
  11. # Downloads to user config dir
  12. ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
  13. https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
  14. /root/.config/Ultralytics/
  15. # Install dependencies
  16. RUN apt-get update && \
  17. apt-get install -y --no-install-recommends \
  18. git python3-pip libopenmpi-dev libopenblas-base libomp-dev \
  19. && rm -rf /var/lib/apt/lists/*
  20. # Create working directory
  21. WORKDIR /ultralytics
  22. # Copy contents and configure git
  23. COPY . .
  24. RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config && \
  25. sed -i'' -e 's/"opencv-python/"opencv-python-headless/' pyproject.toml
  26. ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt .
  27. # Replace pyproject.toml TF.js version with 'tensorflowjs>=3.9.0' for JetPack5 compatibility and install packages
  28. RUN sed -i 's/^\( *"tensorflowjs\)>=.*\(".*\)/\1>=3.9.0\2/' pyproject.toml && \
  29. python3 -m pip install --upgrade pip uv
  30. # Pip install onnxruntime-gpu, torch, torchvision and ultralytics, then remove build files
  31. RUN uv pip install --system \
  32. https://github.com/ultralytics/assets/releases/download/v0.0.0/onnxruntime_gpu-1.18.0-cp38-cp38-linux_aarch64.whl \
  33. https://github.com/ultralytics/assets/releases/download/v0.0.0/torch-2.2.0-cp38-cp38-linux_aarch64.whl \
  34. https://github.com/ultralytics/assets/releases/download/v0.0.0/torchvision-0.17.2+c1d70fe-cp38-cp38-linux_aarch64.whl && \
  35. uv pip install --system -e ".[export]" && \
  36. # Remove extra build files
  37. rm -rf *.whl /root/.config/Ultralytics/persistent_cache.json
  38. # Usage Examples -------------------------------------------------------------------------------------------------------
  39. # Build and Push
  40. # t=ultralytics/ultralytics:latest-jetson-jetpack5 && sudo docker build --platform linux/arm64 -f docker/Dockerfile-jetson-jetpack5 -t $t . && sudo docker push $t
  41. # Run
  42. # t=ultralytics/ultralytics:latest-jetson-jetpack5 && sudo docker run -it --ipc=host $t
  43. # Pull and Run
  44. # t=ultralytics/ultralytics:latest-jetson-jetpack5 && sudo docker pull $t && sudo docker run -it --ipc=host $t
  45. # Pull and Run with NVIDIA runtime
  46. # t=ultralytics/ultralytics:latest-jetson-jetpack5 && sudo docker pull $t && sudo docker run -it --ipc=host --runtime=nvidia $t
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