jetsonhacksnano / buildopencv Goto Github PK

hi, is there any update for jetpack 4.4 yet with the latest OpenCV? for some reason my copencv does not support cuda ..

jetson@jetson-agx:~/jetsonUtilities$ ./jetsonInfo.py
NVIDIA Jetson AGX Xavier [16GB]
L4T 32.4.3 [ JetPack 4.4 ]
Ubuntu 18.04.5 LTS
Kernel Version: 4.9.140-tegra
CUDA 10.2.89
CUDA Architecture: 7.2
OpenCV version: 4.1.1
OpenCV Cuda: NO
CUDNN: 8.0.0.180
TensorRT: 7.1.3.0
Vision Works: 1.6.0.501
VPI: 0.3.7

HI.

How to build/compile Opencv master branch instead of specific version e.g 4.0, 4.1.1.?

Note:
platform: jetson nano latest image.

So I'm one of those folks trying to use the packaged installer with the magic flag turned on, e.g:
https://stackoverflow.com/questions/60081474/install-opencv-from-deb-file-in-docker

What I did:

1. Created a docker container with the following Dockerfile:

FROM nvcr.io/nvidia/l4t-base:r32.3.1 as base

ENV DEBIAN_FRONTEND noninteractive

WORKDIR /usr/src

RUN apt-get update && apt-get install -y --no-install-recommends make g++

COPY ./deviceQuery ./deviceQuery/

RUN make -C ./deviceQuery

FROM nvcr.io/nvidia/l4t-base:r32.3.1 as develop

COPY --from=base /usr/src/deviceQuery/deviceQuery /usr/src/deviceQuery
COPY ./torch-1.4.0-cp36-cp36m-linux_aarch64.whl /usr/src/.
COPY ./torch-1.4.0-cp36-cp36m-linux_aarch64.whl /tmp/
COPY ./OpenCV-4.1.1-dirty-aarch64.sh /tmp/

WORKDIR /usr/src

RUN apt-get update && \
    apt-get --yes install python3 python3-pip python3-wheel python3-numpy python3-scipy python3-dev \
    libopenblas-base mlocate && \
    sudo updatedb && \

    python3 -m pip install -U pip && \
    python3 -m pip install cython numpy /tmp/torch-1.4.0-cp36-cp36m-linux_aarch64.whl && \
    rm -rf /var/lib/apt/lists/* && \
    apt-get clean && \
    /tmp/OpenCV-4.1.1-dirty-aarch64.sh --prefix=/usr/local/ --skip-license && \
    rm *.whl

CMD ['tail -f /dev/null']

where I've copied in the installer OpenCV-4.1.1-dirty-aarch64.sh after saving it from a build with the same l4t image in a different container.

2. running /tmp/OpenCV-4.1.1-dirty-aarch64.sh --prefix=/usr/local/ --skip-license either in bash or during the build for the Dockerfile would move the binaries and lib files into its respective places in /usr/ or /usr/local - I've tried both

3. Finally I ran sudo ldconfig to update the python bindings

What I would expect
4) Running import cv2 in python3 would be successful, instead I get the dreaded segmentation fault error.

Python Version
3.6.9

like your youtube blog for the jetson nano,

so i thought i post the link i found to another script.
may you want to cross-check if there is something clever to steal?
😄

https://github.com/AastaNV/JEP/blob/master/script/install_opencv4.0.0_Nano.sh

👍
regards,tozett

Should be:
$ gcc -std=c++11 $(pkg-config --cflags opencv) $(pkg-config --libs opencv) gstreamer_view.cpp -o gstreamer_view -lstdc++ -lopencv_core -lopencv_highgui -lopencv_videoio

Hello- long time listener, first time caller.

I am using your build script on my Jetson Nano with a raspberry Pi 2 camera, and have noticed about 500 ms of lag between real life and the camera feed. I have seen others discussing the issue, but have not seen solutions posted thus far so I figured I'd open this as an issue.

Any suggestions on what to tweak in order to bring the camera lag back down to what is was previously (which was the default opencv 4 that came with the Jeston Nano)? The default imshow window viewer seems to be different between the two versions, this could be one possible reason for the lag?

Thank you for your help

Describe the issue
When I am trying to build gstreamer_view.cpp using the given command I received the following error:

Package opencv was not found in the pkg-config search path.
Perhaps you should add the directory containing opencv.pc' to the PKG_CONFIG_PATH environment variable No package 'opencv' found Package opencv was not found in the pkg-config search path. Perhaps you should add the directory containing opencv.pc'
to the PKG_CONFIG_PATH environment variable
No package 'opencv' found
gstreamer_view.cpp:7:10: fatal error: opencv.hpp: No such file or directory
#include <opencv.hpp>
^~~~~~~~~~~~

What version of L4T/JetPack
L4T/JetPack 4.6

What version of OpenCV
OpenCV version:

Python Version
Python version if applicable:

To Reproduce
Steps to reproduce the behavior:
For example, what command line did you run?

Expected behavior
A clear and concise description of what you expected to happen.

Additional context
Add any other context about the problem here.