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Dockerfile-jetson-jetpack6 2.9 KB

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  1. # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
  2. # Builds ultralytics/ultralytics:latest-jetson-jetpack6 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
  3. # Supports JetPack6.1 for YOLO on Jetson AGX Orin, Orin NX and Orin Nano Series
  4. # Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-jetpack
  5. FROM nvcr.io/nvidia/l4t-jetpack:r36.4.0
  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 and cleanup
  16. ADD https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/arm64/cuda-keyring_1.1-1_all.deb .
  17. RUN dpkg -i cuda-keyring_1.1-1_all.deb && \
  18. apt-get update && \
  19. apt-get install -y --no-install-recommends \
  20. git python3-pip libopenmpi-dev libopenblas-base libomp-dev libcusparselt0 libcusparselt-dev && \
  21. rm -rf /var/lib/apt/lists/* cuda-keyring_1.1-1_all.deb
  22. # Create working directory
  23. WORKDIR /ultralytics
  24. # Copy contents and configure git
  25. COPY . .
  26. RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config && \
  27. sed -i'' -e 's/"opencv-python/"opencv-python-headless/' pyproject.toml
  28. ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt .
  29. # Pip install numpy, onnxruntime-gpu, torch, torchvision and ultralytics, then remove build files
  30. RUN python3 -m pip install --upgrade pip uv && \
  31. uv pip install --system \
  32. numpy==1.26.4 \
  33. https://github.com/ultralytics/assets/releases/download/v0.0.0/onnxruntime_gpu-1.20.0-cp310-cp310-linux_aarch64.whl \
  34. https://github.com/ultralytics/assets/releases/download/v0.0.0/torch-2.5.0a0+872d972e41.nv24.08-cp310-cp310-linux_aarch64.whl \
  35. https://github.com/ultralytics/assets/releases/download/v0.0.0/torchvision-0.20.0a0+afc54f7-cp310-cp310-linux_aarch64.whl && \
  36. uv pip install --system -e ".[export]" && \
  37. # Remove extra build files
  38. rm -rf *.whl /root/.config/Ultralytics/persistent_cache.json
  39. # Usage Examples -------------------------------------------------------------------------------------------------------
  40. # Build and Push
  41. # t=ultralytics/ultralytics:latest-jetson-jetpack6 && sudo docker build --platform linux/arm64 -f docker/Dockerfile-jetson-jetpack6 -t $t . && sudo docker push $t
  42. # Run
  43. # t=ultralytics/ultralytics:latest-jetson-jetpack6 && sudo docker run -it --ipc=host $t
  44. # Pull and Run
  45. # t=ultralytics/ultralytics:latest-jetson-jetpack6 && sudo docker pull $t && sudo docker run -it --ipc=host $t
  46. # Pull and Run with NVIDIA runtime
  47. # t=ultralytics/ultralytics:latest-jetson-jetpack6 && sudo docker pull $t && sudo docker run -it --ipc=host --runtime=nvidia $t
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