|
|
|
|
# Ultralytics YOLO 🚀, AGPL-3.0 license
|
|
|
|
|
# Builds ultralytics/ultralytics:jetson-jetpack6 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
|
|
|
|
|
# Supports JetPack6.x for YOLOv8 on Jetson AGX Orin, Orin NX and Orin Nano Series
|
|
|
|
|
|
|
|
|
|
# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-jetpack
|
|
|
|
|
FROM nvcr.io/nvidia/l4t-jetpack:r36.3.0
|
|
|
|
|
|
|
|
|
|
# Set environment variables
|
|
|
|
|
ENV PYTHONUNBUFFERED=1 \
|
|
|
|
|
PYTHONDONTWRITEBYTECODE=1 \
|
|
|
|
|
PIP_NO_CACHE_DIR=1 \
|
|
|
|
|
PIP_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 update && \
|
|
|
|
|
apt install --no-install-recommends -y git python3-pip libopenmpi-dev libopenblas-base libomp-dev
|
|
|
|
|
|
|
|
|
|
# Create working directory
|
|
|
|
|
WORKDIR /ultralytics
|
|
|
|
|
|
|
|
|
|
# Copy contents and configure git
|
|
|
|
|
COPY . .
|
|
|
|
|
RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config
|
|
|
|
|
ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
|
|
|
|
|
|
|
|
|
|
# Download onnxruntime-gpu 1.18.0 from https://elinux.org/Jetson_Zoo and https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048
|
|
|
|
|
ADD https://nvidia.box.com/shared/static/48dtuob7meiw6ebgfsfqakc9vse62sg4.whl onnxruntime_gpu-1.18.0-cp310-cp310-linux_aarch64.whl
|
|
|
|
|
|
|
|
|
|
# Pip install onnxruntime-gpu, torch, torchvision and ultralytics
|
|
|
|
|
RUN python3 -m pip install --upgrade pip wheel
|
|
|
|
|
RUN pip install \
|
|
|
|
|
onnxruntime_gpu-1.18.0-cp310-cp310-linux_aarch64.whl \
|
|
|
|
|
https://github.com/ultralytics/assets/releases/download/v0.0.0/torch-2.3.0-cp310-cp310-linux_aarch64.whl \
|
|
|
|
|
https://github.com/ultralytics/assets/releases/download/v0.0.0/torchvision-0.18.0a0+6043bc2-cp310-cp310-linux_aarch64.whl
|
|
|
|
|
RUN pip install -e ".[export]"
|
|
|
|
|
RUN rm *.whl
|
|
|
|
|
|
|
|
|
|
# Usage Examples -------------------------------------------------------------------------------------------------------
|
|
|
|
|
|
|
|
|
|
# Build and Push
|
|
|
|
|
# t=ultralytics/ultralytics:latest-jetson-jetpack6 && sudo docker build --platform linux/arm64 -f docker/Dockerfile-jetson-jetpack6 -t $t . && sudo docker push $t
|
|
|
|
|
|
|
|
|
|
# Run
|
|
|
|
|
# t=ultralytics/ultralytics:latest-jetson-jetpack6 && sudo docker run -it --ipc=host $t
|
|
|
|
|
|
|
|
|
|
# Pull and Run
|
|
|
|
|
# t=ultralytics/ultralytics:latest-jetson-jetpack6 && sudo docker pull $t && sudo docker run -it --ipc=host $t
|
|
|
|
|
|
|
|
|
|
# Pull and Run with NVIDIA runtime
|
|
|
|
|
# t=ultralytics/ultralytics:latest-jetson-jetpack6 && sudo docker pull $t && sudo docker run -it --ipc=host --runtime=nvidia $t
|
