You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
69 lines
3.3 KiB
69 lines
3.3 KiB
# Ultralytics YOLO 🚀, AGPL-3.0 license |
|
# Builds ultralytics/ultralytics:jetson-jetpack4 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics |
|
# Supports JetPack4.x for YOLO11 on Jetson Nano, TX2, Xavier NX, AGX Xavier |
|
|
|
# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-cuda |
|
FROM nvcr.io/nvidia/l4t-cuda:10.2.460-runtime |
|
|
|
# Set environment variables |
|
ENV PYTHONUNBUFFERED=1 \ |
|
PYTHONDONTWRITEBYTECODE=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/ |
|
|
|
# Add NVIDIA repositories for TensorRT dependencies |
|
RUN wget -q -O - https://repo.download.nvidia.com/jetson/jetson-ota-public.asc | apt-key add - && \ |
|
echo "deb https://repo.download.nvidia.com/jetson/common r32.7 main" > /etc/apt/sources.list.d/nvidia-l4t-apt-source.list && \ |
|
echo "deb https://repo.download.nvidia.com/jetson/t194 r32.7 main" >> /etc/apt/sources.list.d/nvidia-l4t-apt-source.list |
|
|
|
# Install dependencies |
|
RUN apt-get update && \ |
|
apt-get install -y --no-install-recommends \ |
|
git python3.8 python3.8-dev python3-pip python3-libnvinfer libopenmpi-dev libopenblas-base libomp-dev gcc \ |
|
&& rm -rf /var/lib/apt/lists/* |
|
|
|
# Create symbolic links for python3.8 and pip3 |
|
RUN ln -sf /usr/bin/python3.8 /usr/bin/python3 |
|
RUN ln -s /usr/bin/pip3 /usr/bin/pip |
|
|
|
# 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/v8.3.0/yolo11n.pt . |
|
|
|
# Download onnxruntime-gpu 1.8.0 and tensorrt 8.2.0.6 |
|
# Other versions can be seen in https://elinux.org/Jetson_Zoo and https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048 |
|
ADD https://nvidia.box.com/shared/static/gjqofg7rkg97z3gc8jeyup6t8n9j8xjw.whl onnxruntime_gpu-1.8.0-cp38-cp38-linux_aarch64.whl |
|
ADD https://forums.developer.nvidia.com/uploads/short-url/hASzFOm9YsJx6VVFrDW1g44CMmv.whl tensorrt-8.2.0.6-cp38-none-linux_aarch64.whl |
|
|
|
# Install pip packages |
|
RUN python3 -m pip install --upgrade pip wheel |
|
RUN pip install \ |
|
onnxruntime_gpu-1.8.0-cp38-cp38-linux_aarch64.whl \ |
|
tensorrt-8.2.0.6-cp38-none-linux_aarch64.whl \ |
|
https://github.com/ultralytics/assets/releases/download/v0.0.0/torch-1.11.0a0+gitbc2c6ed-cp38-cp38-linux_aarch64.whl \ |
|
https://github.com/ultralytics/assets/releases/download/v0.0.0/torchvision-0.12.0a0+9b5a3fe-cp38-cp38-linux_aarch64.whl |
|
RUN pip install -e ".[export]" |
|
|
|
# Remove extra build files |
|
RUN rm -rf *.whl /root/.config/Ultralytics/persistent_cache.json |
|
|
|
# Usage Examples ------------------------------------------------------------------------------------------------------- |
|
|
|
# Build and Push |
|
# t=ultralytics/ultralytics:latest-jetson-jetpack4 && sudo docker build --platform linux/arm64 -f docker/Dockerfile-jetson-jetpack4 -t $t . && sudo docker push $t |
|
|
|
# Run |
|
# t=ultralytics/ultralytics:latest-jetson-jetpack4 && sudo docker run -it --ipc=host $t |
|
|
|
# Pull and Run |
|
# t=ultralytics/ultralytics:latest-jetson-jetpack4 && sudo docker pull $t && sudo docker run -it --ipc=host $t |
|
|
|
# Pull and Run with NVIDIA runtime |
|
# t=ultralytics/ultralytics:latest-jetson-jetpack4 && sudo docker pull $t && sudo docker run -it --ipc=host --runtime=nvidia $t
|
|
|