I am trying to create a Dockerfile on jetson with l4t-base and create a new image with opencv but when i try to build an image I encounter a linking problem and I can only create a docker when I change the command from RUN to CMD, but then it builds every time, which is a problem.
I am trying to build it using this:
RUN curl -L https://github.com/opencv/opencv/archive/4.1.0.zip -o opencv-4.1.0.zip
RUN curl -L https://github.com/opencv/opencv_contrib/archive/4.1.0.zip -o opencv_contrib-4.1.0.zip
RUN unzip opencv-4.1.0.zip && unzip opencv_contrib-4.1.0.zip
RUN cd opencv-4.1.0/ && mkdir release && cd release/ && cmake -D WITH_CUDA=ON
-D OPENCV_EXTRA_MODULES_PATH=…/…/opencv_contrib-4.1.0/modules
-D WITH_GSTREAMER=ON
-D WITH_LIBV4L=ON
-D BUILD_opencv_python2=OFF
-D BUILD_opencv_python3=ON
-D BUILD_TESTS=OFF
-D BUILD_PERF_TESTS=OFF
-D BUILD_EXAMPLES=OFF
-D CMAKE_BUILD_TYPE=RELEASE
-D CMAKE_INSTALL_PREFIX=/usr/local …
Vladimir,
Any luck getting linking to work in such a way that result of the step was cached by docker? I’m running into a similar issue.
Thanks,
Here is a script to build OpenCV in docker, along with a sample Dockerfile. You should be able to just replace the FROM line in the Dockerfile with a deepstream base image (edit: see post below for the correct base image).
If you’re still on JetPack 4.3 you can use a tag here here
like mdegans/tegra-opencv:jp-r32.3.1-cv-4.3.0 (and apt install deepstream-4.0
Otherwise latest always will target the latest JetPack and latest OpenCV.
1 Like
Hi
I’m trying to use you suggested method of incorporating opencv into the deepstream image (on an xavier agx, l4t R32.4.3). I’ve therefore changed the Dockerfile to contain:
FROM nvcr.io/nvidia/deepstream-l4t:5.0-dp-20.04-base
### build argumements ###
# change these here or with --build-arg FOO="BAR" at build time
ARG OPENCV_VERSION="4.3.0"
ARG OPENCV_DO_TEST="FALSE"
# note: 8 jobs will fail on Nano. Try 1 instead.
ARG OPENCV_BUILD_JOBS="4"
# required for apt-get -y to work properly:
ARG DEBIAN_FRONTEND=noninteractive
WORKDIR /usr/local/src/build_opencv
COPY build_opencv.sh .
RUN /bin/bash build_opencv.sh
However I receive the following error when I run
sudo docker build --tag deepstream_opencv:1.0
:
+ mv /etc/apt/sources.list.d/nvidia-l4t-apt-source.list /etc/apt/
mv: cannot stat '/etc/apt/sources.list.d/nvidia-l4t-apt-source.list': No such file or directory
It seems that the deepstream image does not have this file. Commenting out the lines where it moves the file from and back to /etc/apt/sources.list.d then leads to the following:
E: Unable to locate package cuda-compiler-10-2
E: Unable to locate package cuda-minimal-build-10-2
E: Unable to locate package cuda-libraries-dev-10-2
E: Unable to locate package libcudnn8-dev
Please help me!
Many thanks
@jimwormold
The issue is that official Nvidia images do not currently have Nvidia’s apt sources enabled and I didn’t think about that when writing the above post… Here is a patched deepstream image and dockerfile you can use to build your own from a deepstream-l4t base:
https://hub.docker.com/r/mdegans/deepstream
Let me know if …
FROM registry.hub.docker.com/mdegans/deepstream:aarch64-samples
...
… works for you or not (i may have to adjust the script). I just update it for 4.4GA but haven’t tested building on top of this DeepStream base image.
Thanks ever so much - looks like it’s working so far. I’ll update when complete.
Yes I can confirm that it works, as long as I use opencv master rather than 4.3 tag as indicated here: Jetpack 4.4 Broke one of my programs - #24 by sowd0726