| # 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 | |