Docker for the jetson family with cuda, cuddn, gstreamer, python and opencv

Autonomous Machines Jetson & Embedded Systems Jetson Xavier NX
1

Hi is there an official nvidia arm docker container with the same spec like the nvidia jetson ubuntu os ?

i mean with cuda cuddn gstreamer python and opencv pre compiled ?

I am able to compile everything for my self… but why ?

Best regards

2

Hi @m.fischer, the l4t-base container has CUDA/cuDNN/TensorRT/GStreamer in it. The version of OpenCV from JetPack is in the latest l4t-ml container.

3

okay interesting everything works native like a charm.
with the l4t-base container I have to move opencv to complie darknet

  • ln -s /usr/include/opencv4/opencv2/ /usr/include/opencv2

cublas is also missing

  • /src/dark_cuda.h:61:5: error: ‘cublasHandle_t’ does not name a type
    cublasHandle_t blas_handle();

so on JetPack 4.5 every path is set perfekty, but sadly not on the container itself

Best regards Martin

4

Hi @m.fischer, are you building your container from Dockerfile? If so, set your default docker daemon to nvidia, and --runtime nvidia will get used during docker build operations (which will make the mounted CUDA/cuDNN files available during build-time)

https://github.com/dusty-nv/jetson-containers#docker-default-runtime

1 Like
5

yes i am building directly on a jetson xavier with a fresh setup of Jetpack 4.5

this is my problem-> cublas for 10.1 is missing - #18 by phillip3m

but not nativ on the xavier!

this is my Dockerfile

FROM nvcr.io/nvidia/l4t-ml:r32.5.0-py3
#FROM nvcr.io/nvidia/l4t-base:r32.4.4

RUN apt-get update && apt-get install -y jq
wget
pkg-config
git

RUN ln -s /usr/include/opencv4/opencv2/ /usr/include/opencv2

ENV PATH=$PATH:/usr/local/cuda-10.2/bin
ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH/usr/local/cuda-10.2/lib64

RUN cp /usr/lib/aarch64-linux-gnu/libcublas.so /usr/local/cuda-10.2/lib64/libcublas.so &&
cp /usr/lib/aarch64-linux-gnu/libcublas.so.10 /usr/local/cuda-10.2/lib64/libcublas.so.10 &&
cp /usr/lib/aarch64-linux-gnu/libcublasLt.so.10 /usr/local/cuda-10.2/lib64/libcublasLt.so.10

#Start Darknet Install
RUN git clone GitHub - AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) /app
WORKDIR /app

COPY Makefile Makefile

RUN make

#Install all the required packages for the python script
RUN pip3 install --upgrade pip

COPY launch.sh launch.sh
RUN chmod 777 launch.sh
CMD [“./launch.sh”]

6

OK, to use the CUDA/cuDNN libraries/headers during docker build you probably need to set the default-runtime to nvidia, and reboot your system or restart your docker daemon.

1 Like
7

Successfully built 420bc36bf845

:D

thank you for the support