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55 lines
2.5 KiB
55 lines
2.5 KiB
# Ultralytics YOLO 🚀, AGPL-3.0 license |
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# Builds ultralytics/ultralytics:jetson-jetpack6 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics |
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# Supports JetPack6.x for YOLOv8 on Jetson AGX Orin, Orin NX and Orin Nano Series |
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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:r36.3.0 |
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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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# 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 update && \ |
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apt install --no-install-recommends -y git python3-pip libopenmpi-dev libopenblas-base libomp-dev |
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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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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt . |
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# Download onnxruntime-gpu 1.18.0 from https://elinux.org/Jetson_Zoo and https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048 |
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ADD https://nvidia.box.com/shared/static/48dtuob7meiw6ebgfsfqakc9vse62sg4.whl onnxruntime_gpu-1.18.0-cp310-cp310-linux_aarch64.whl |
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# Pip install onnxruntime-gpu, torch, torchvision and ultralytics |
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RUN python3 -m pip install --upgrade pip wheel |
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RUN pip install \ |
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onnxruntime_gpu-1.18.0-cp310-cp310-linux_aarch64.whl \ |
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https://github.com/ultralytics/assets/releases/download/v0.0.0/torch-2.3.0-cp310-cp310-linux_aarch64.whl \ |
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https://github.com/ultralytics/assets/releases/download/v0.0.0/torchvision-0.18.0a0+6043bc2-cp310-cp310-linux_aarch64.whl |
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RUN pip install -e ".[export]" |
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RUN rm *.whl |
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# Usage Examples ------------------------------------------------------------------------------------------------------- |
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# Build and Push |
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# t=ultralytics/ultralytics:latest-jetson-jetpack6 && sudo docker build --platform linux/arm64 -f docker/Dockerfile-jetson-jetpack6 -t $t . && sudo docker push $t |
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# Run |
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# t=ultralytics/ultralytics:latest-jetson-jetpack6 && sudo docker run -it --ipc=host $t |
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# Pull and Run |
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# t=ultralytics/ultralytics:latest-jetson-jetpack6 && sudo docker pull $t && sudo docker run -it --ipc=host $t |
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# Pull and Run with NVIDIA runtime |
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# t=ultralytics/ultralytics:latest-jetson-jetpack6 && sudo docker pull $t && sudo docker run -it --ipc=host --runtime=nvidia $t
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