# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license

# Builds ultralytics/ultralytics:latest-jetson-jetpack5 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
# Supports JetPack5.1.2 for YOLO on Jetson Xavier NX, AGX Xavier, AGX Orin, Orin Nano and Orin NX

# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-jetpack
FROM nvcr.io/nvidia/l4t-jetpack:r35.4.1

# Set environment variables
ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PIP_NO_CACHE_DIR=1 \
    PIP_BREAK_SYSTEM_PACKAGES=1 \
    UV_BREAK_SYSTEM_PACKAGES=1

# Downloads to user config dir
ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
    https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
    /root/.config/Ultralytics/

# Install dependencies
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
    git python3-pip libopenmpi-dev libopenblas-base libomp-dev \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Create working directory
WORKDIR /ultralytics

# Copy contents and configure git
COPY . .
RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config && \
    sed -i'' -e 's/"opencv-python/"opencv-python-headless/' pyproject.toml
ADD https://github.com/ultralytics/assets/releases/download/v8.4.0/yolo26n.pt .

# Replace pyproject.toml TF.js version with 'tensorflowjs>=3.9.0' for JetPack5 compatibility and install packages
RUN sed -i 's/^\( *"tensorflowjs\)>=.*\(".*\)/\1>=3.9.0\2/' pyproject.toml && \
    python3 -m pip install --upgrade pip uv

# Pip install onnxruntime-gpu, torch, torchvision and ultralytics, then remove build files
RUN uv pip install --system \
    https://github.com/ultralytics/assets/releases/download/v0.0.0/onnxruntime_gpu-1.18.0-cp38-cp38-linux_aarch64.whl \
    https://github.com/ultralytics/assets/releases/download/v0.0.0/torch-2.1.0a0+41361538.nv23.06-cp38-cp38-linux_aarch64.whl \
    https://github.com/ultralytics/assets/releases/download/v0.0.0/torchvision-0.16.2+c6f3977-cp38-cp38-linux_aarch64.whl && \
    # Need lower version of 'numpy' for TensorRT export
    uv pip install --system numpy==1.23.5 && \
    uv pip install --system -e ".[export]" && \
    # Remove extra build files
    rm -rf *.whl /root/.config/Ultralytics/persistent_cache.json

# Usage --------------------------------------------------------------------------------------------------------------

# Production builds: https://github.com/ultralytics/ultralytics/blob/main/.github/workflows/docker.yml
# Example (build): t=ultralytics/ultralytics:latest-jetson-jetpack5 && docker build --platform linux/arm64 -f docker/Dockerfile-jetson-jetpack5 -t $t .
# Example (push): docker push $t
# Example (pull): t=ultralytics/ultralytics:latest-jetson-jetpack5 && docker pull $t
# Example (run): docker run -it --ipc=host --runtime=nvidia $t
# Example (run-with-volume): docker run -it --ipc=host --runtime=nvidia -v "$PWD/shared/datasets:/datasets" $t
