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- # Ultralytics YOLO 🚀, AGPL-3.0 license
- # Builds ultralytics/ultralytics:jetson image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
- # Supports JetPack for YOLOv8 on Jetson Nano, TX1/TX2, Xavier NX, AGX Xavier, AGX Orin, and Orin NX
- # Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch
- FROM nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3
- # Downloads to user config dir
- ADD https://ultralytics.com/assets/Arial.ttf https://ultralytics.com/assets/Arial.Unicode.ttf /root/.config/Ultralytics/
- # Install linux packages
- # g++ required to build 'tflite_support' and 'lap' packages, libusb-1.0-0 required for 'tflite_support' package
- RUN apt update \
- && apt install --no-install-recommends -y gcc git zip curl htop libgl1-mesa-glx libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
- # RUN alias python=python3
- # Create working directory
- WORKDIR /usr/src/ultralytics
- # Copy contents
- # COPY . /usr/src/app (issues as not a .git directory)
- RUN git clone https://github.com/ultralytics/ultralytics /usr/src/ultralytics
- ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt /usr/src/ultralytics/
- # Remove opencv-python from requirements.txt as it conflicts with opencv-python installed in base image
- RUN grep -v '^opencv-python' requirements.txt > tmp.txt && mv tmp.txt requirements.txt
- # Install pip packages manually for TensorRT compatibility https://github.com/NVIDIA/TensorRT/issues/2567
- RUN python3 -m pip install --upgrade pip wheel
- RUN pip install --no-cache tqdm matplotlib pyyaml psutil pandas onnx thop "numpy==1.23"
- RUN pip install --no-cache -e .
- # Set environment variables
- ENV OMP_NUM_THREADS=1
- # Usage Examples -------------------------------------------------------------------------------------------------------
- # Build and Push
- # t=ultralytics/ultralytics:latest-jetson && sudo docker build --platform linux/arm64 -f docker/Dockerfile-jetson -t $t . && sudo docker push $t
- # Run
- # t=ultralytics/ultralytics:latest-jetson && sudo docker run -it --ipc=host $t
- # Pull and Run with NVIDIA runtime
- # t=ultralytics/ultralytics:latest-jetson && sudo docker pull $t && sudo docker run -it --ipc=host --runtime=nvidia $t
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