mirror of
https://github.com/ultralytics/ultralytics
synced 2026-04-21 22:17:16 +00:00
1ce3b0c4e6
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
59 lines
2.9 KiB
Text
59 lines
2.9 KiB
Text
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Builds ultralytics/ultralytics:latest-jetson-jetpack5 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Supports JetPack5.1.2 for YOLO on Jetson Xavier NX, AGX Xavier, AGX Orin, Orin Nano and Orin NX
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# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-jetpack
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FROM nvcr.io/nvidia/l4t-jetpack:r35.4.1
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# Set environment variables
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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PIP_NO_CACHE_DIR=1 \
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PIP_BREAK_SYSTEM_PACKAGES=1 \
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UV_BREAK_SYSTEM_PACKAGES=1
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# Downloads to user config dir
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ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
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https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
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/root/.config/Ultralytics/
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# Install dependencies
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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git python3-pip libopenmpi-dev libopenblas-base libomp-dev \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# Create working directory
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WORKDIR /ultralytics
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# Copy contents and configure git
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COPY . .
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RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config && \
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sed -i'' -e 's/"opencv-python/"opencv-python-headless/' pyproject.toml
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ADD https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n.pt .
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# Replace pyproject.toml TF.js version with 'tensorflowjs>=3.9.0' for JetPack5 compatibility and install packages
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RUN sed -i 's/^\( *"tensorflowjs\)>=.*\(".*\)/\1>=3.9.0\2/' pyproject.toml && \
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python3 -m pip install --upgrade pip uv
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# Pip install onnxruntime-gpu, torch, torchvision and ultralytics, then remove build files
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RUN uv pip install --system \
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https://github.com/ultralytics/assets/releases/download/v0.0.0/onnxruntime_gpu-1.18.0-cp38-cp38-linux_aarch64.whl \
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https://github.com/ultralytics/assets/releases/download/v0.0.0/torch-2.2.0-cp38-cp38-linux_aarch64.whl \
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https://github.com/ultralytics/assets/releases/download/v0.0.0/torchvision-0.17.2+c1d70fe-cp38-cp38-linux_aarch64.whl && \
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# Need lower version of 'numpy' for TensorRT export
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uv pip install --system numpy==1.23.5 && \
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uv pip install --system -e ".[export]" && \
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# Remove extra build files
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rm -rf *.whl /root/.config/Ultralytics/persistent_cache.json
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# Usage --------------------------------------------------------------------------------------------------------------
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# Production builds: https://github.com/ultralytics/ultralytics/blob/main/.github/workflows/docker.yml
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# Example (build): t=ultralytics/ultralytics:latest-jetson-jetpack5 && docker build --platform linux/arm64 -f docker/Dockerfile-jetson-jetpack5 -t $t .
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# Example (push): docker push $t
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# Example (pull): t=ultralytics/ultralytics:latest-jetson-jetpack5 && docker pull $t
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# Example (run): docker run -it --ipc=host --runtime=nvidia $t
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# Example (run-with-volume): docker run -it --ipc=host --runtime=nvidia -v "$PWD/shared/datasets:/datasets" $t
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