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62 lines
2.9 KiB
62 lines
2.9 KiB
# Ultralytics YOLO 🚀, AGPL-3.0 license |
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# Builds ultralytics/ultralytics:jetson-jetson-jetpack5 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics |
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# Supports JetPack5.x for YOLO11 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-pytorch |
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FROM nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3 |
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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 linux packages |
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# g++ required to build 'tflite_support' and 'lap' packages |
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# libusb-1.0-0 required for 'tflite_support' package when exporting to TFLite |
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# pkg-config and libhdf5-dev (not included) are needed to build 'h5py==3.11.0' aarch64 wheel required by 'tensorflow' |
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RUN apt-get update && \ |
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apt-get install -y --no-install-recommends \ |
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gcc git zip unzip wget curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0 \ |
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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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ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt . |
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# Remove opencv-python from Ultralytics dependencies as it conflicts with opencv-python installed in base image |
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RUN sed -i '/opencv-python/d' pyproject.toml |
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# 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 |
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ADD https://nvidia.box.com/shared/static/mvdcltm9ewdy2d5nurkiqorofz1s53ww.whl onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl |
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# Install pip packages manually for TensorRT compatibility https://github.com/NVIDIA/TensorRT/issues/2567 |
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RUN python3 -m pip install --upgrade pip wheel |
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RUN pip install onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl |
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RUN pip install -e ".[export]" |
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# Remove extra build files |
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RUN rm -rf *.whl /root/.config/Ultralytics/persistent_cache.json |
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# Usage Examples ------------------------------------------------------------------------------------------------------- |
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# Build and Push |
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# t=ultralytics/ultralytics:latest-jetson-jetpack5 && sudo docker build --platform linux/arm64 -f docker/Dockerfile-jetson-jetpack5 -t $t . && sudo docker push $t |
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# Run |
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# t=ultralytics/ultralytics:latest-jetson-jetpack5 && sudo docker run -it --ipc=host $t |
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# Pull and Run |
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# t=ultralytics/ultralytics:latest-jetson-jetpack5 && 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-jetpack5 && sudo docker pull $t && sudo docker run -it --ipc=host --runtime=nvidia $t
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