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How to install OpenCV 4.2 with CUDA 10.0 in Ubuntu 18.04

How to install OpenCV 4.2.0 with CUDA 10.0 in Ubuntu distro 18.04

First of all install update and upgrade your system:

    $ sudo apt update
    $ sudo apt upgrade

Then, install required libraries:

  • Generic tools:

      $ sudo apt install build-essential cmake pkg-config unzip yasm git checkinstall
    
  • Image I/O libs

    $ sudo apt install libjpeg-dev libpng-dev libtiff-dev
    
  • Video/Audio Libs - FFMPEG, GSTREAMER, x264 and so on.

    $ sudo apt install libavcodec-dev libavformat-dev libswscale-dev libavresample-dev
    $ sudo apt install libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
    $ sudo apt install libxvidcore-dev x264 libx264-dev libfaac-dev libmp3lame-dev libtheora-dev 
    $ sudo apt install libfaac-dev libmp3lame-dev libvorbis-dev
    
  • OpenCore - Adaptive Multi Rate Narrow Band (AMRNB) and Wide Band (AMRWB) speech codec

    $ sudo apt install libopencore-amrnb-dev libopencore-amrwb-dev
    
  • Cameras programming interface libs

    $ sudo apt-get install libdc1394-22 libdc1394-22-dev libxine2-dev libv4l-dev v4l-utils
    $ cd /usr/include/linux
    $ sudo ln -s -f ../libv4l1-videodev.h videodev.h
    $ cd ~
    
  • GTK lib for the graphical user functionalites coming from OpenCV highghui module

    $ sudo apt-get install libgtk-3-dev
    
  • Python libraries for python3:

    $ sudo apt-get install python3-dev python3-pip
    $ sudo -H pip3 install -U pip numpy
    $ sudo apt install python3-testresources
    
  • Parallelism library C++ for CPU

    $ sudo apt-get install libtbb-dev
    
  • Optimization libraries for OpenCV

    $ sudo apt-get install libatlas-base-dev gfortran
    
  • Optional libraries:

    $ sudo apt-get install libprotobuf-dev protobuf-compiler
    $ sudo apt-get install libgoogle-glog-dev libgflags-dev
    $ sudo apt-get install libgphoto2-dev libeigen3-dev libhdf5-dev doxygen
    

We will now proceed with the installation (see the Qt flag that is disabled to do not have conflicts with Qt5.0).

$ cd ~
$ wget -O opencv.zip https://github.com/opencv/opencv/archive/4.2.0.zip
$ wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/4.2.0.zip
$ unzip opencv.zip
$ unzip opencv_contrib.zip

$ echo "Create a virtual environtment for the python binding module"
$ sudo pip install virtualenv virtualenvwrapper
$ sudo rm -rf ~/.cache/pip
$ echo "Edit ~/.bashrc"
$ export WORKON_HOME=$HOME/.virtualenvs
$ export VIRTUALENVWRAPPER_PYTHON=/usr/bin/python3
$ source /usr/local/bin/virtualenvwrapper.sh
$ mkvirtualenv cv -p python3
$ pip install numpy

$ echo "Procced with the installation"
$ cd opencv-4.2.0
$ mkdir build
$ cd build

$ cmake -D CMAKE_BUILD_TYPE=RELEASE \
	-D CMAKE_C_COMPILER=/usr/bin/gcc-6 \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D INSTALL_C_EXAMPLES=OFF \
-D WITH_TBB=ON \
-D WITH_CUDA=ON \
-D BUILD_opencv_cudacodec=OFF \
-D ENABLE_FAST_MATH=1 \
-D CUDA_FAST_MATH=1 \
-D WITH_CUBLAS=1 \
-D WITH_V4L=ON \
-D WITH_QT=OFF \
-D WITH_OPENGL=ON \
-D WITH_GSTREAMER=ON \
-D OPENCV_GENERATE_PKGCONFIG=ON \
-D OPENCV_PC_FILE_NAME=opencv.pc \
-D OPENCV_ENABLE_NONFREE=ON \
-D OPENCV_PYTHON3_INSTALL_PATH=~/.virtualenvs/cv/lib/python3.6/site-packages \
-D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-4.2.0/modules \
-D PYTHON_EXECUTABLE=~/.virtualenvs/cv/bin/python \
-D BUILD_EXAMPLES=ON ..

If you want to build the libraries statically you only have to include the -D BUILD_SHARED_LIBS=OFF

$ cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_C_COMPILER=/usr/bin/gcc-6 -D CMAKE_INSTALL_PREFIX=/usr/local -D INSTALL_PYTHON_EXAMPLES=ON -D INSTALL_C_EXAMPLES=OFF -D WITH_TBB=ON -D WITH_CUDA=ON -D BUILD_opencv_cudacodec=OFF -D ENABLE_FAST_MATH=1 -D CUDA_FAST_MATH=1 -D WITH_CUBLAS=1 -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D WITH_GSTREAMER=ON -D OPENCV_GENERATE_PKGCONFIG=ON -D OPENCV_PC_FILE_NAME=opencv.pc -D OPENCV_ENABLE_NONFREE=ON -D OPENCV_PYTHON3_INSTALL_PATH=~/.virtualenvs/cv/lib/python3.6/site-packages -D OPENCV_EXTRA_MODULES_PATH=~/downloads/opencv/opencv_contrib-4.2.0/modules -D PYTHON_EXECUTABLE=~/.virtualenvs/cv/bin/python -D BUILD_EXAMPLES=ON -D BUILD_SHARED_LIBS=OFF ..

In case you do not want to include include CUDA set -D WITH_CUDA=OFF

$ cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_C_COMPILER=/usr/bin/gcc-6 -D CMAKE_INSTALL_PREFIX=/usr/local -D INSTALL_PYTHON_EXAMPLES=ON -D INSTALL_C_EXAMPLES=OFF -D WITH_TBB=ON -D WITH_CUDA=OFF -D BUILD_opencv_cudacodec=OFF -D ENABLE_FAST_MATH=1 -D CUDA_FAST_MATH=1 -D WITH_CUBLAS=1 -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D WITH_GSTREAMER=ON -D OPENCV_GENERATE_PKGCONFIG=ON -D OPENCV_PC_FILE_NAME=opencv.pc -D OPENCV_ENABLE_NONFREE=ON -D OPENCV_PYTHON3_INSTALL_PATH=~/.virtualenvs/cv/lib/python3.6/site-packages -D OPENCV_EXTRA_MODULES_PATH=~/downloads/opencv/opencv_contrib-4.2.0/modules -D PYTHON_EXECUTABLE=~/.virtualenvs/cv/bin/python -D BUILD_EXAMPLES=ON ..

If you want also to use CUDNN you must include those flags (to set the correct value of CUDA_ARCH_BIN you must visit https://developer.nvidia.com/cuda-gpus and find the Compute Capability CC of your graphic card):

-D WITH_CUDNN=ON \
-D OPENCV_DNN_CUDA=ON \
-D CUDA_ARCH_BIN=7.5 \

Before the compilation you must check that CUDA has been enabled in the configuration summary printed on the screen. (If you have problems with the CUDA Architecture go to the end of the document).

--   NVIDIA CUDA:                   YES (ver 10.0, CUFFT CUBLAS NVCUVID FAST_MATH)
--     NVIDIA GPU arch:             30 35 37 50 52 60 61 70 75
--     NVIDIA PTX archs:

If it is fine proceed with the compilation (Use nproc to know the number of cpu cores):

$ nproc
$ make -j8
$ sudo make install

Include the libs in your environment

$ sudo /bin/bash -c 'echo "/usr/local/lib" >> /etc/ld.so.conf.d/opencv.conf'
$ sudo ldconfig

If you want to have available opencv python bindings in the system environment you should copy the created folder during the installation of OpenCV (* -D OPENCV_PYTHON3_INSTALL_PATH=~/.virtualenvs/cv/lib/python3.6/site-packages *) into the dist-packages folder of the target python interpreter:

$ sudo cp -r ~/.virtualenvs/cv/lib/python3.6/site-packages/cv2 /usr/local/lib/python3.6/dist-packages

$ echo "Modify config-3.6.py to point to the target directory" 
$ sudo nano /usr/local/lib/python3.6/dist-packages/cv2/config-3.6.py 

``` 
    PYTHON_EXTENSIONS_PATHS = [
    os.path.join('/usr/local/lib/python3.6/dist-packages/cv2', 'python-3.6')
    ] + PYTHON_EXTENSIONS_PATHS
``` 

EXAMPLE TO TEST OPENCV 4.2.0 with GPU in C++

Verify the installation by compiling and executing the following example:

#include <iostream>
#include <ctime>
#include <cmath>
#include "bits/time.h"

#include <opencv2/core.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/imgcodecs.hpp>

#include <opencv2/core/cuda.hpp>
#include <opencv2/cudaarithm.hpp>
#include <opencv2/cudaimgproc.hpp>

#define TestCUDA true

int main() {
    std::clock_t begin = std::clock();

        try {
            cv::String filename = "/home/raul/Pictures/Screenshot_20170317_105454.png";
            cv::Mat srcHost = cv::imread(filename, cv::IMREAD_GRAYSCALE);

            for(int i=0; i<1000; i++) {
                if(TestCUDA) {
                    cv::cuda::GpuMat dst, src;
                    src.upload(srcHost);

                    //cv::cuda::threshold(src,dst,128.0,255.0, CV_THRESH_BINARY);
                    cv::cuda::bilateralFilter(src,dst,3,1,1);

                    cv::Mat resultHost;
                    dst.download(resultHost);
                } else {
                    cv::Mat dst;
                    cv::bilateralFilter(srcHost,dst,3,1,1);
                }
            }

            //cv::imshow("Result",resultHost);
            //cv::waitKey();

        } catch(const cv::Exception& ex) {
            std::cout << "Error: " << ex.what() << std::endl;
        }

    std::clock_t end = std::clock();
    std::cout << double(end-begin) / CLOCKS_PER_SEC  << std::endl;
}

Compile and execute:

$ g++ `pkg-config opencv --cflags --libs` -o test test.cpp
$ ./test

List of documented problems

If you have problems with unsupported architectures of your graphic card with the minimum requirements from Opencv, you will get the following error:

CUDA backend for DNN module requires CC 5.3 or higher.  Please remove unsupported architectures from CUDA_ARCH_BIN option.

It means that the DNN module needs that your graphic card supports the 5.3 Compute Capability (CC) version; in this link you can fint the CC of your card. Some opencv versions have fixed the minimum version to 3.0 but there is a clear move to filter above 5.3 since the half-precision precision operations are available from 5.3 version. To fix this problem you can modify the CMakeList.txt file located in opencv > modules > dnn > CMakeList.txt and set the minimum version to the one you have, but bear in mind that the correct functioning of this module will be compromised. However, if you only want GPU for the rest of modules, it could work.

You can also select the target CUDA_ARCH_BIN option in the command to generate the makefile for your current target or modify the list of supported architectures:

$ grep -r 'CUDA_ARCH_BIN' .  //That prompts ./CMakeCache.txt

The restriction is to have a higher version than 5.3, so you can modify the file by removing all the inferior arch to 5.3

CUDA_ARCH_BIN:STRING=6.0 6.1 7.0 7.5

Now, the makefile was created succesfully. Before the compilation you must check that CUDA has been enabled in the configuration summary printed on the screen.

--   NVIDIA CUDA:                   YES (ver 10.0, CUFFT CUBLAS NVCUVID FAST_MATH)
--     NVIDIA GPU arch:             60 61 70 75
--     NVIDIA PTX archs:

If you have any other problem try updating the nvidia drivers.

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@t3ga

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@t3ga t3ga commented Sep 20, 2019

$ sudo apt install python3-tesTresources

@DSamuylov

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@DSamuylov DSamuylov commented Oct 27, 2019

Thank you a lot for the gist!

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@ucals ucals commented Dec 30, 2019

Thank you!

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@vwvw vwvw commented Jan 20, 2020

-D OPENCV_EXTRA_MODULES_PATH=~/downloads/opencv/opencv_contrib-4.2.0/modules \ should be -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-4.2.0/modules \ if you followed the unzipping done beforehand

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@raulqf raulqf commented Jan 20, 2020

-D OPENCV_EXTRA_MODULES_PATH=~/downloads/opencv/opencv_contrib-4.2.0/modules \ should be -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-4.2.0/modules \ if you followed the unzipping done beforehand

Thank you! I've edited the gist with your comment.

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@vwvw vwvw commented Jan 20, 2020

You still have opencv/ too much! Thanks for the great writeup otherwise!

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@raulqf raulqf commented Jan 20, 2020

You still have opencv/ too much! Thanks for the great writeup otherwise!

I hope this is the correct one!! Haha Thanks for your comments.

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@xiaoniu001 xiaoniu001 commented Jan 21, 2020

My environment is gpu 2080, ubuntu18 ,cuda10.2 but I get this error

[100%] Building CXX object samples/gpu/CMakeFiles/example_gpu_surf_keypoint_matcher.dir/surf_keypoint_matcher.cpp.o
[100%] Built target opencv_test_superres
Scanning dependencies of target example_gpu_video_reader
[100%] Building CXX object samples/gpu/CMakeFiles/example_gpu_super_resolution.dir/super_resolution.cpp.o
[100%] Linking CXX executable ../../bin/example_gpu_hog
[100%] Building CXX object samples/gpu/CMakeFiles/example_gpu_video_reader.dir/video_reader.cpp.o
/home/pactera/software/opencv-4.2.0/samples/gpu/surf_keypoint_matcher.cpp:11:10: fatal error: opencv2/xfeatures2d/cuda.hpp: 没有那个文件或目录
 #include "opencv2/xfeatures2d/cuda.hpp"
          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compilation terminated.
samples/gpu/CMakeFiles/example_gpu_surf_keypoint_matcher.dir/build.make:62: recipe for target 'samples/gpu/CMakeFiles/example_gpu_surf_keypoint_matcher.dir/surf_keypoint_matcher.cpp.o' failed
make[2]: *** [samples/gpu/CMakeFiles/example_gpu_surf_keypoint_matcher.dir/surf_keypoint_matcher.cpp.o] Error 1
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@raulqf raulqf commented Jan 21, 2020

My environment is gpu 2080, ubuntu18 ,cuda10.2 but I get this error

[100%] Building CXX object samples/gpu/CMakeFiles/example_gpu_surf_keypoint_matcher.dir/surf_keypoint_matcher.cpp.o
[100%] Built target opencv_test_superres
Scanning dependencies of target example_gpu_video_reader
[100%] Building CXX object samples/gpu/CMakeFiles/example_gpu_super_resolution.dir/super_resolution.cpp.o
[100%] Linking CXX executable ../../bin/example_gpu_hog
[100%] Building CXX object samples/gpu/CMakeFiles/example_gpu_video_reader.dir/video_reader.cpp.o
/home/pactera/software/opencv-4.2.0/samples/gpu/surf_keypoint_matcher.cpp:11:10: fatal error: opencv2/xfeatures2d/cuda.hpp: 没有那个文件或目录
#include "opencv2/xfeatures2d/cuda.hpp"
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compilation terminated.
samples/gpu/CMakeFiles/example_gpu_surf_keypoint_matcher.dir/build.make:62: recipe for target 'samples/gpu/CMakeFiles/example_gpu_surf_keypoint_matcher.dir/surf_keypoint_matcher.cpp.o' failed
make[2]: *** [samples/gpu/CMakeFiles/example_gpu_surf_keypoint_matcher.dir/surf_keypoint_matcher.cpp.o] Error 1

The error is not in english and I cannot understand it. Run make VERBOSE=1 to get a more detailed information about the error. Remember that SURF is not free so make sure the flag is correctly defined.

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@xiaoniu001 xiaoniu001 commented Jan 21, 2020

Meaning that does not have this file or directory "opencv2 / xfeatures2d / cuda.hpp

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@vwvw vwvw commented Jan 21, 2020

My environment is gpu 2080, ubuntu18 ,cuda10.2 but I get this error

I'm also running Ubuntu 18.04, Cuda 10.2 and the script ran flawlessly.
Are you sure you cloned the opencv-contrib directory in the right place?

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@Gokulakrishnan-96 Gokulakrishnan-96 commented Jan 23, 2020

I am facing the following issue: I previously had OpenCV 3.2 in my system (Ubuntu 18.04 LTS, CUDA 10.1) that I installed via: sudo apt-get install libopencv-dev python-opencv without CUDA support. Now that I am looking for CUDA support, I installed OpenCV 4.2.0 following the instructions given by you @raulqf (Thank you so much for this!), except for the virtual environment creation part! Now, the problem I am facing is that pkg-config could not locate OpenCV4.2 and it is still pointing to the older version (OpenCV 3.2). I even removed all the packages pertaining to the older version. Now pkg-config simply cannot locate a package name opencv at all. Suggestion made: Try adding the directory that contains opencv.pc to the environment variable PKG_CONFIG_PATH. Where is this file located?

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@raulqf raulqf commented Jan 23, 2020

I am facing the following issue: I previously had OpenCV 3.2 in my system (Ubuntu 18.04 LTS, CUDA 10.1) that I installed via: sudo apt-get install libopencv-dev python-opencv without CUDA support. Now that I am looking for CUDA support, I installed OpenCV 4.2.0 following the instructions given by you @raulqf (Thank you so much for this!), except for the virtual environment creation part! Now, the problem I am facing is that pkg-config could not locate OpenCV4.2 and it is still pointing to the older version (OpenCV 3.2). I even removed all the packages pertaining to the older version. Now pkg-config simply cannot locate a package name opencv at all. Suggestion made: Try adding the directory that contains opencv.pc to the environment variable PKG_CONFIG_PATH. Where is this file located?

Hi. It is really to understand how pkg-config works. Basically the file contains the information to locate the header files and the libs to be used during compilation. The name opencv.pc can be modified in the installation process, in fact, it was defined in this flag **-D OPENCV_PC_FILE_NAME=opencv.pc *. So, you could define any other name. One suggestion would be to include your opencv version within the filename --> opencv420.pc. If you change the name you must use the new file name when invoking pkg-config -> g++ pkg-config opencv420 --cflags --libs -o test test.cpp . To find your opencv.pc you could use locate opencv* (remember to update the database sudo updatedb) or use find --> find /usr/ --name opencv ... The are also some environment variables used by pkg-config pointing to the PKG_CONFIG_PATH

To sum up, you could redo the process defining a new filename for opencv.pc or you could modify the current opencv.pc to point to the correct directory. It is a file text that can be modified by any text editor. Once you open it, you would find that the directories are wrongly defined. According to the installation, they must point to /usr/local/lib for the libraries and /usr/loca/include for the header files.

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@Gokulakrishnan-96 Gokulakrishnan-96 commented Jan 24, 2020

I am facing the following issue: I previously had OpenCV 3.2 in my system (Ubuntu 18.04 LTS, CUDA 10.1) that I installed via: sudo apt-get install libopencv-dev python-opencv without CUDA support. Now that I am looking for CUDA support, I installed OpenCV 4.2.0 following the instructions given by you @raulqf (Thank you so much for this!), except for the virtual environment creation part! Now, the problem I am facing is that pkg-config could not locate OpenCV4.2 and it is still pointing to the older version (OpenCV 3.2). I even removed all the packages pertaining to the older version. Now pkg-config simply cannot locate a package name opencv at all. Suggestion made: Try adding the directory that contains opencv.pc to the environment variable PKG_CONFIG_PATH. Where is this file located?

Hi. It is really to understand how pkg-config works. Basically the file contains the information to locate the header files and the libs to be used during compilation. The name opencv.pc can be modified in the installation process, in fact, it was defined in this flag **-D OPENCV_PC_FILE_NAME=opencv.pc *. So, you could define any other name. One suggestion would be to include your opencv version within the filename --> opencv420.pc. If you change the name you must use the new file name when invoking pkg-config -> g++ pkg-config opencv420 --cflags --libs -o test test.cpp . To find your opencv.pc you could use locate opencv* (remember to update the database sudo updatedb) or use find --> find /usr/ --name opencv ... The are also some environment variables used by pkg-config pointing to the PKG_CONFIG_PATH

To sum up, you could redo the process defining a new filename for opencv.pc or you could modify the current opencv.pc to point to the correct directory. It is a file text that can be modified by any text editor. Once you open it, you would find that the directories are wrongly defined. According to the installation, they must point to /usr/local/lib for the libraries and /usr/loca/include for the header files.

Thank you so much for the explanation, @raulqf ! It works fine and thank you for taking pains to write this Gist too!

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@drewnia drewnia commented Jan 29, 2020

What is the problem? Opencv 3.4.9 has no such problem

[ 7%] Building NVCC (Device) object modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_gpu_mat.cu.o
CMake Error at cuda_compile_1_generated_gpu_mat.cu.o.RELEASE.cmake:221 (message):
Error generating
CMakeFiles/cuda_compile_1.dir/src/cuda/./cuda_compile_1_generated_gpu_mat.cu.o

modules/core/CMakeFiles/opencv_core.dir/build.make:487: recipe for target 'modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_gpu_mat.cu.o' failed
make[2]: *** [modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_gpu_mat.cu.o] Error 1
CMakeFiles/Makefile2:3082: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/all' failed
make[1]: *** [modules/core/CMakeFiles/opencv_core.dir/all] Error 2

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@raulqf raulqf commented Jan 30, 2020

Which version of NVCC, CUDA and g++ or gcc are you using? Googling it I found https://answers.opencv.org/question/189712/unable-to-compile-opencv-with-cuda9-and-gcc6/?sort=oldest . They suggest to install certain versions of gcc and g++, so I guess you must update the compilers.

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@ghost ghost commented Feb 9, 2020

Thank you for your tutorial!

How can I sort out the errors?

I tried:
sudo cp ~/opencv/build/unix-install/opencv.pc /usr/local/lib/pkgconfig/
export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig

BUT
g++ pkg-config opencv --cflags --libs -o test test.cpp
/tmp/cc3tkJEc.o: In function main': test.cpp:(.text+0x7e): undefined reference to cv::imread(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, int)'
test.cpp:(.text+0x9d): undefined reference to cv::cuda::GpuMat::defaultAllocator()' test.cpp:(.text+0xb7): undefined reference to cv::cuda::GpuMat::defaultAllocator()'
...

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@raulqf raulqf commented Feb 10, 2020

Thank you for your tutorial!

How can I sort out the errors?

I tried:
sudo cp ~/opencv/build/unix-install/opencv.pc /usr/local/lib/pkgconfig/
export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig

BUT
g++ pkg-config opencv --cflags --libs -o test test.cpp
/tmp/cc3tkJEc.o: In function main': test.cpp:(.text+0x7e): undefined reference to cv::imread(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, int)'
test.cpp:(.text+0x9d): undefined reference to cv::cuda::GpuMat::defaultAllocator()' test.cpp:(.text+0xb7): undefined reference to cv::cuda::GpuMat::defaultAllocator()'
...

Hi, You have problems in the compiling process when linking the header files. Make sure your includes are correctly defined.

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@basit26374 basit26374 commented Feb 13, 2020

The file is not created in "~/.virtualenvs/opencv_cuda/lib/python3.6/site-packages/cv2". After cmake the response is like this

opencv_build_5

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@raulqf raulqf commented Feb 13, 2020

The file is not created in "~/.virtualenvs/opencv_cuda/lib/python3.6/site-packages/cv2". After cmake the response is like this

opencv_build_5

Which files? Do you mean the binding shared libraries for opencv to be used in python?

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@putrasto putrasto commented Feb 14, 2020

Thank you for your tutorial!

How can I sort out the errors?

I tried:
sudo cp ~/opencv/build/unix-install/opencv.pc /usr/local/lib/pkgconfig/
export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig

BUT
g++ pkg-config opencv --cflags --libs -o test test.cpp
/tmp/cc3tkJEc.o: In function main': test.cpp:(.text+0x7e): undefined reference to cv::imread(std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&, int)'
test.cpp:(.text+0x9d): undefined reference to cv::cuda::GpuMat::defaultAllocator()' test.cpp:(.text+0xb7): undefined reference to cv::cuda::GpuMat::defaultAllocator()'
...

I had the same error and then i change the order of include files and library like below:
g++ test.cpp pkg-config opencv --cflags --libs
(file source code is at front)

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@basit26374 basit26374 commented Feb 14, 2020

The file is not created in "~/.virtualenvs/opencv_cuda/lib/python3.6/site-packages/cv2". After cmake the response is like this
opencv_build_5

Which files? Do you mean the binding shared libraries for opencv to be used in python?

like .so file

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@pinduzera pinduzera commented Feb 14, 2020

I could not find the Python bindings in ~/.virtualenvs/cv/lib/python3.6/site-packages/cv2 after doing all the process, what migh have happened?

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@raulqf raulqf commented Feb 15, 2020

I could not find the Python bindings in ~/.virtualenvs/cv/lib/python3.6/site-packages/cv2 after doing all the process, what migh have happened?

Coud you include your log in verbose mode to check any possible error? You seem to have the same problem as @basit26374.

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@pinduzera pinduzera commented Feb 17, 2020

I`ve changed the environment name to opecv_cuda but still not working.
If I did everything correct this should be the make output [part 1]:

-- Detected processor: x86_64
-- Found PythonInterp: /home/innovate/.virtualenvs/opencv_cuda/bin/python (found suitable version "3.6.9", minimum required is "2.7") 
-- Looking for ccache - not found
-- Found ZLIB: /usr/lib/x86_64-linux-gnu/libz.so (found suitable version "1.2.11", minimum required is "1.2.3") 
-- Could NOT find Jasper (missing: JASPER_LIBRARIES JASPER_INCLUDE_DIR) 
-- Found ZLIB: /usr/lib/x86_64-linux-gnu/libz.so (found version "1.2.11") 
-- Found TBB (env): /usr/lib/x86_64-linux-gnu/libtbb.so
-- found Intel IPP (ICV version): 2019.0.0 [2019.0.0 Gold]
-- at: /home/innovate/opencv/build/3rdparty/ippicv/ippicv_lnx/icv
-- found Intel IPP Integration Wrappers sources: 2019.0.0
-- at: /home/innovate/opencv/build/3rdparty/ippicv/ippicv_lnx/iw
-- CUDA detected: 10.2
-- CUDA NVCC target flags: -gencode;arch=compute_75,code=sm_75;-D_FORCE_INLINES
-- Could not find OpenBLAS include. Turning OpenBLAS_FOUND off
-- Could not find OpenBLAS lib. Turning OpenBLAS_FOUND off
-- Could NOT find Atlas (missing: Atlas_CLAPACK_INCLUDE_DIR) 
-- A library with BLAS API found.
-- A library with LAPACK API found.
-- Could NOT find JNI (missing: JAVA_INCLUDE_PATH JAVA_INCLUDE_PATH2 JAVA_AWT_INCLUDE_PATH) 
-- Could NOT find Pylint (missing: PYLINT_EXECUTABLE) 
-- Could NOT find Flake8 (missing: FLAKE8_EXECUTABLE) 
-- VTK is not found. Please set -DVTK_DIR in CMake to VTK build directory, or to VTK install subdirectory with VTKConfig.cmake file
-- OpenCV Python: during development append to PYTHONPATH: /home/innovate/opencv/build/python_loader
-- Caffe:   NO
-- Protobuf:   NO
-- Glog:   NO
-- freetype2:   YES (ver 21.0.15)
-- harfbuzz:    YES (ver 1.7.2)
-- Could NOT find HDF5 (missing: HDF5_LIBRARIES HDF5_INCLUDE_DIRS) (found version "")
-- Module opencv_ovis disabled because OGRE3D was not found
-- No preference for use of exported gflags CMake configuration set, and no hints for include/library directories provided. Defaulting to preferring an installed/exported gflags CMake configuration if available.
-- Failed to find installed gflags CMake configuration, searching for gflags build directories exported with CMake.
-- Failed to find gflags - Failed to find an installed/exported CMake configuration for gflags, will perform search for installed gflags components.
-- Failed to find gflags - Could not find gflags include directory, set GFLAGS_INCLUDE_DIR to directory containing gflags/gflags.h
-- Failed to find glog - Could not find glog include directory, set GLOG_INCLUDE_DIR to directory containing glog/logging.h
-- Module opencv_sfm disabled because the following dependencies are not found: Eigen Glog/Gflags
-- Checking for module 'tesseract'
--   No package 'tesseract' found
-- Tesseract:   NO
-- Registering hook 'INIT_MODULE_SOURCES_opencv_dnn': /home/innovate/opencv/modules/dnn/cmake/hooks/INIT_MODULE_SOURCES_opencv_dnn.cmake
-- 
-- General configuration for OpenCV 4.2.0 =====================================
--   Version control:               unknown
-- 
--   Extra modules:
--     Location (extra):            /home/innovate/opencv_contrib/modules
--     Version control (extra):     unknown
-- 
--   Platform:
--     Timestamp:                   2020-02-17T18:09:36Z
--     Host:                        Linux 5.3.0-28-generic x86_64
--     CMake:                       3.10.2
--     CMake generator:             Unix Makefiles
--     CMake build tool:            /usr/bin/make
--     Configuration:               RELEASE
-- 
--   CPU/HW features:
--     Baseline:                    SSE SSE2 SSE3
--       requested:                 SSE3
--     Dispatched code generation:  SSE4_1 SSE4_2 FP16 AVX AVX2 AVX512_SKX
--       requested:                 SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX
--       SSE4_1 (16 files):         + SSSE3 SSE4_1
--       SSE4_2 (2 files):          + SSSE3 SSE4_1 POPCNT SSE4_2
--       FP16 (1 files):            + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 AVX
--       AVX (5 files):             + SSSE3 SSE4_1 POPCNT SSE4_2 AVX
--       AVX2 (29 files):           + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2
--       AVX512_SKX (6 files):      + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2 AVX_512F AVX512_COMMON AVX512_SKX
-- 
--   C/C++:
--     Built as dynamic libs?:      YES
--     C++ Compiler:                /usr/bin/c++  (ver 7.4.0)
--     C++ flags (Release):         -fsigned-char -ffast-math -W -Wall -W





error=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections  -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -O3 -DNDEBUG  -DNDEBUG
--     C++ flags (Debug):           -fsigned-char -ffast-math -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections  -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -g  -O0 -DDEBUG -D_DEBUG
--     C Compiler:                  /usr/bin/cc
--     C flags (Release):           -fsigned-char -ffast-math -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections  -msse -msse2 -msse3 -fvisibility=hidden -O3 -DNDEBUG  -DNDEBUG
--     C flags (Debug):             -fsigned-char -ffast-math -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections  -msse -msse2 -msse3 -fvisibility=hidden -g  -O0 -DDEBUG -D_DEBUG
--     Linker flags (Release):      -Wl,--gc-sections  
--     Linker flags (Debug):        -Wl,--gc-sections  
--     ccache:                      NO
--     Precompiled headers:         NO
--     Extra dependencies:          m pthread cudart_static -lpthread dl rt nppc nppial nppicc nppicom nppidei nppif nppig nppim nppist nppisu nppitc npps cublas cudnn cufft -L/usr/local/cuda/lib64 -L/usr/lib/x86_64-linux-gnu
--     3rdparty dependencies:
-- 
--   OpenCV modules:
--     To be built:                 aruco bgsegm bioinspired calib3d ccalib core cudaarithm cudabgsegm cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev datasets dnn dnn_objdetect dnn_superres dpm face features2d flann freetype fuzzy gapi hfs highgui img_hash imgcodecs imgproc line_descriptor ml objdetect optflow phase_unwrapping photo plot python3 quality reg rgbd saliency shape stereo stitching structured_light superres surface_matching text tracking ts video videoio videostab xfeatures2d ximgproc xobjdetect xphoto
--     Disabled:                    cudacodec world
--     Disabled by dependency:      -
--     Unavailable:                 cnn_3dobj cvv hdf java js matlab ovis python2 sfm viz
--     Applications:                tests perf_tests examples apps
--     Documentation:               NO
--     Non-free algorithms:         YES
-- 
--   GUI: 
--     GTK+:                        YES (ver 3.22.30)
--       GThread :                  YES (ver 2.56.4)
--       GtkGlExt:                  NO
--     OpenGL support:              NO
--     VTK support:                 NO
-- 
--   Media I/O: 
--     ZLib:                        /usr/lib/x86_64-linux-gnu/libz.so (ver 1.2.11)
--     JPEG:                        /usr/lib/x86_64-linux-gnu/libjpeg.so (ver 80)
--     WEBP:                        build (ver encoder: 0x020e)
--     PNG:                         /usr/lib/x86_64-linux-gnu/libpng.so (ver 1.6.34)
--     TIFF:                        /usr/lib/x86_64-linux-gnu/libtiff.so (ver 42 / 4.0.9)
--     JPEG 2000:                   build (ver 1.900.1)
--     OpenEXR:                     build (ver 2.3.0)
--     HDR:                         YES
--     SUNRASTER:                   YES
--     PXM:                         YES
--     PFM:                         YES
-- 
--   Video I/O:
--     DC1394:                      YES (2.2.5)
--     FFMPEG:                      YES
--       avcodec:                   YES (57.107.100)
--       avformat:                  YES (57.83.100)
--       avutil:                    YES (55.78.100)
--       swscale:                   YES (4.8.100)
--       avresample:                YES (3.7.0)
--     GStreamer:                   YES (1.14.5)
--     v4l/v4l2:                    YES (linux/videodev2.h)
-- 
--   Parallel framework:            TBB (ver 2017.0 interface 9107)
-- 
--   Trace:                         YES (with Intel ITT)
-- 
--   Other third-party libraries:
--     Intel IPP:                   2019.0.0 Gold [2019.0.0]
--            at:                   /home/innovate/opencv/build/3rdparty/ippicv/ippicv_lnx/icv
--     Intel IPP IW:                sources (2019.0.0)
--               at:                /home/innovate/opencv/build/3rdparty/ippicv/ippicv_lnx/iw
--     Lapack:                      NO
--     Eigen:                       NO
--     Custom HAL:                  NO
--     Protobuf:                    build (3.5.1)
-- 
--   NVIDIA CUDA:                   YES (ver 10.2, CUFFT CUBLAS FAST_MATH)
--     NVIDIA GPU arch:             75
--     NVIDIA PTX archs:
-- 
--   cuDNN:                         YES (ver 7.6.5)
-- 
--   OpenCL:                        YES (no extra features)
--     Include path:                /home/innovate/opencv/3rdparty/include/opencl/1.2
--     Link libraries:              Dynamic load
-- 
--   Python 3:
--     Interpreter:                 /home/innovate/.virtualenvs/opencv_cuda/bin/python3 (ver 3.6.9)
--     Libraries:                   /usr/lib/x86_64-linux-gnu/libpython3.6m.so (ver 3.6.9)
--     numpy:                       /home/innovate/.virtualenvs/opencv_cuda/lib/python3.6/site-packages/numpy/core/include (ver 1.18.1)
--     install path:                /home/innovate/.virtualenvs/opencv_cuda/lib/python3.6/site-packages/cv2/python-3.6
-- 
--   Python (for build):            /home/innovate/.virtualenvs/opencv_cuda/bin/python3
-- 
--   Java:                          
--     ant:                         NO
--     JNI:                         NO
--     Java wrappers:               NO
--     Java tests:                  NO
-- 
--   Install to:                    /usr/local
-- -----------------------------------------------------------------
-- 
-- Configuring done
-- Generating done
-- Build files have been written to: /home/innovate/opencv/build
[  0%] Built target ittnotify
[  0%] Built target gen-pkgconfig
[  1%] Built target quirc
[  1%] Built target opencv_videoio_plugins
[  2%] Built target libjasper
[  3%] Built target ippiw
[  4%] Built target ade
[  4%] Built target gen_opencv_python_source
[  7%] Built target libwebp
[  7%] Built target opencv_cudev
[ 10%] Built target IlmImf
[ 13%] Built target libprotobuf
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/batch_distance.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/algorithm.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/alloc.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/arithm.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/array.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/arithm.dispatch.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/async.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/check.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/channels.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/conjugate_gradient.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/command_line_parser.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/bindings_utils.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/convert.dispatch.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/convert_c.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/convert_scale.dispatch.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/copy.cpp.o
[ 13%] Building CXX object modules/core/CMakeFiles/opencv_core.dir/src/count_non_zero.dispatch.cpp.o
@pinduzera

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@pinduzera pinduzera commented Feb 17, 2020

Let me know if there is something important in between, git is not allowing me to post a large log.
EOF:

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@raulqf raulqf commented Feb 17, 2020

Let me know if there is something important in between, git is not allowing me to post a large log.
EOF:

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After the build process did you do the make install?

@pinduzera

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@pinduzera pinduzera commented Feb 18, 2020

Let me know if there is something important in between, git is not allowing me to post a large log.
EOF:

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[100%] Built target opencv_python3

After the build process did you do the make install?

I`ve totally missed that somehow, sorry for the rookie mistake. Working flawlessly now

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@basit26374 basit26374 commented Feb 19, 2020

@pinduzera how did you fix it?
Please mention, maybe other people getting help from your advice.
I was also doing the same process but .so not generated

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@junaidfiaz143 junaidfiaz143 commented Feb 19, 2020

cuDNN is NO.....WHY?????

image

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@raulqf raulqf commented Feb 19, 2020

@pinduzera how did you fix it?
Please mention, maybe other people getting help from your advice.
I was also doing the same process but .so not generated

Remember to do "make install" after the build process. Check the gist commands and follow thoroughly.

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@pinduzera pinduzera commented Feb 19, 2020

@pinduzera how did you fix it?
Please mention, maybe other people getting help from your advice.
I was also doing the same process but .so not generated

I have pretty much run the script, my problem was because I had forgotten to do the make install. Anyway, I have added the following changes added in the cmake:

-D WITH_CUDNN=ON \
-D OPENCV_DNN_CUDA=ON \
-D CUDA_ARCH_BIN=6.2

I've mainly added CUDA_ARCH_BIN=6.2 to specify the cuda compute capability of my Jetson TX2 because the automatic may be troublesome, I've also done the same process in a notebook with a RTX 2080 Max-q and the cuda compute used was 7.5 which you can check on this link: https://developer.nvidia.com/cuda-gpus

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@raulqf raulqf commented Feb 20, 2020

@pinduzera how did you fix it?
Please mention, maybe other people getting help from your advice.
I was also doing the same process but .so not generated

I have pretty much run the script, my problem was because I had forgotten to do the make install. Anyway, I have added the following changes added in the cmake:

-D WITH_CUDNN=ON \
-D OPENCV_DNN_CUDA=ON \
-D CUDA_ARCH_BIN=6.2

I've mainly added CUDA_ARCH_BIN=6.2 to specify the cuda compute capability of my Jetson TX2 because the automatic may be troublesome, I've also done the same process in a notebook with a RTX 2080 Max-q and the cuda compute used was 7.5 which you can check on this link: https://developer.nvidia.com/cuda-gpus

I've included the CUDNN flags as an option in case you want to compile OpenCV using CUDNN. Thanks for the comment.

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@jenssgb jenssgb commented Mar 14, 2020

In case you get "CMake Error unsupported GNU version! gcc versions later than 6 are not supported!"
try: -DCMAKE_C_COMPILER=/usr/bin/gcc-6 to specify the path of the compiler

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@raulqf raulqf commented Mar 14, 2020

-DCMAKE_C_COMPILER=/usr/bin/gcc-6

I will include it. Thanks!

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@chirag26495 chirag26495 commented Mar 15, 2020

@raulqf Thanks a ton! Everything worked like a charm except during testing the sample c++ code the following lines worked for me:
g++ -o test test.cpp pkg-config opencv --cflags --libs

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@HugoHJH HugoHJH commented Apr 7, 2020

What is the problem? Opencv 3.4.9 has no such problem

[ 7%] Building NVCC (Device) object modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_gpu_mat.cu.o
CMake Error at cuda_compile_1_generated_gpu_mat.cu.o.RELEASE.cmake:221 (message):
Error generating
CMakeFiles/cuda_compile_1.dir/src/cuda/./cuda_compile_1_generated_gpu_mat.cu.o

modules/core/CMakeFiles/opencv_core.dir/build.make:487: recipe for target 'modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_gpu_mat.cu.o' failed
make[2]: *** [modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_gpu_mat.cu.o] Error 1
CMakeFiles/Makefile2:3082: recipe for target 'modules/core/CMakeFiles/opencv_core.dir/all' failed
make[1]: *** [modules/core/CMakeFiles/opencv_core.dir/all] Error 2

Did you find a solution to this? I am getting the same error message (using CUDA 10.0, gcc-6, Ubuntu 18.04 - as per the the instructions), I'm trying to run the instillation in a Dockerfile (if that is relevant)

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@nahimudeen nahimudeen commented Apr 17, 2020

I had few glitches with matching Nvidia driver-Cuda-CuDnn. I had also glitches with GCC version. And solved everything. Everything worked fine . But when I tried to run the test program I am stuck. I changed the input JPEG to a file @ same location.

**naeem@machine:~/opencv-4.2.0/build$** g++ pkg-config opencv --cflags --libs-o test test.cpp /tmp/ccdOMeho.o: In functionmain':
test.cpp:(.text+0x7e): undefined reference to cv::imread(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int)' test.cpp:(.text+0x9d): undefined reference to cv::cuda::GpuMat::defaultAllocator()'
test.cpp:(.text+0xb7): undefined reference to cv::cuda::GpuMat::defaultAllocator()' test.cpp:(.text+0xfe): undefined reference to cv::cuda::GpuMat::upload(cv::_InputArray const&)'
test.cpp:(.text+0x112): undefined reference to cv::cuda::Stream::Null()' test.cpp:(.text+0x17a): undefined reference to cv::cuda::bilateralFilter(cv::_InputArray const&, cv::_OutputArray const&, int, float, float, int, cv::cuda::Stream&)'
test.cpp:(.text+0x1d3): undefined reference to cv::cuda::GpuMat::download(cv::_OutputArray const&) const' /tmp/ccdOMeho.o: In function cv::Mat::~Mat()':
test.cpp:(.text._ZN2cv3MatD2Ev[_ZN2cv3MatD5Ev]+0x39): undefined reference to cv::fastFree(void*)' /tmp/ccdOMeho.o: In function cv::Mat::release()':
test.cpp:(.text._ZN2cv3Mat7releaseEv[_ZN2cv3Mat7releaseEv]+0x4b): undefined reference to cv::Mat::deallocate()' /tmp/ccdOMeho.o: In function cv::cuda::GpuMat::~GpuMat()':
test.cpp:(.text._ZN2cv4cuda6GpuMatD2Ev[_ZN2cv4cuda6GpuMatD5Ev]+0x14): undefined reference to cv::cuda::GpuMat::release()' /tmp/ccdOMeho.o:(.data.rel.local.DW.ref._ZTIN2cv9ExceptionE[DW.ref._ZTIN2cv9ExceptionE]+0x0): undefined reference to typeinfo for cv::Exception'
collect2: error: ld returned 1 exit status
`

I left coding 6 years back...This is my come back session,Expect big blunders...

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@raulqf raulqf commented Apr 18, 2020

Welcome back! :D It seems that your system is not correctly finding the libraries. What's your output when you type: 'pkg-config opencv --cflags --libs'?

Check that you have correctly refreshed the dynamic libraries in your system with 'sudo ldconfig'

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@nahimudeen nahimudeen commented Apr 18, 2020

Welcome back! :D It seems that your system is not correctly finding the libraries. What's your output when you type: 'pkg-config opencv --cflags --libs'?

Check that you have correctly refreshed the dynamic libraries in your system with 'sudo ldconfig'

pkg-config opencv --cflags --libs gives
-I/usr/local/include/opencv4/opencv -I/usr/local/include/opencv4 -L/usr/local/lib -lopencv_gapi -lopencv_stitching -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_cudabgsegm -lopencv_cudafeatures2d -lopencv_cudaobjdetect -lopencv_cudastereo -lopencv_dnn_objdetect -lopencv_dnn_superres -lopencv_dpm -lopencv_highgui -lopencv_face -lopencv_freetype -lopencv_fuzzy -lopencv_hdf -lopencv_hfs -lopencv_img_hash -lopencv_line_descriptor -lopencv_quality -lopencv_reg -lopencv_rgbd -lopencv_saliency -lopencv_sfm -lopencv_stereo -lopencv_structured_light -lopencv_phase_unwrapping -lopencv_superres -lopencv_surface_matching -lopencv_tracking -lopencv_datasets -lopencv_text -lopencv_dnn -lopencv_plot -lopencv_videostab -lopencv_cudaoptflow -lopencv_optflow -lopencv_cudalegacy -lopencv_videoio -lopencv_cudawarping -lopencv_xfeatures2d -lopencv_shape -lopencv_ml -lopencv_ximgproc -lopencv_video -lopencv_xobjdetect -lopencv_objdetect -lopencv_calib3d -lopencv_imgcodecs -lopencv_features2d -lopencv_flann -lopencv_xphoto -lopencv_photo -lopencv_cudaimgproc -lopencv_cudafilters -lopencv_imgproc -lopencv_cudaarithm -lopencv_core -lopencv_cudev

i had confirmed i had refreshed dynamic libraries. beside when libcudnn did notify about error regarding absence of symbolic link i followed this link to rectify it..

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@raulqf raulqf commented Apr 19, 2020

It should work.... But your problem is in the linking process...

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@nahimudeen nahimudeen commented Apr 19, 2020

how about reistalling just opencv again ??

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@nahimudeen nahimudeen commented Apr 19, 2020

i tried compiling the test program for opencv from here. It works fine. But when i put the verfication program in this tutorial and make Cmake to compile i get this error.

naeem@machine:~/HOME$ make
Scanning dependencies of target test
[ 50%] Building CXX object CMakeFiles/test.dir/test.cpp.o
[100%] Linking CXX executable test
[100%] Built target test
naeem@machine:~/HOME$ ./test
Error: OpenCV(4.2.0) /home/naeem/opencv_contrib-4.2.0/modules/cudaimgproc/src/cuda/bilateral_filter.cu:138: error: (-217:Gpu API call) invalid device function in function 'bilateral_caller'

0.088531
naeem@machine:~/HOME$ 
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@nahimudeen nahimudeen commented Apr 21, 2020

hi i rectified the error. it was because My GPU was GTX 1050ti and it supports CC 6.1 and build in this doc is 7.5. so i correctly build according to my GPU Compute capability(CC) its working fine...i would suggest you can update this info in this doc.

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@raulqf raulqf commented Apr 23, 2020

hi i rectified the error. it was because My GPU was GTX 1050ti and it supports CC 6.1 and build in this doc is 7.5. so i correctly build according to my GPU Compute capability(CC) its working fine...i would suggest you can update this info in this doc.

How do you recommend to update the info? Along the gist I am describing the CC used, arch bin, etc...

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@vladislavdonchev vladislavdonchev commented May 10, 2020

Hi,

I followed the guide line-for-line using the following configuration:

cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_C_COMPILER=/usr/bin/gcc-6 \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D INSTALL_C_EXAMPLES=OFF \
-D WITH_TBB=ON \
-D WITH_CUDA=ON \
-D BUILD_opencv_cudacodec=OFF \
-D ENABLE_FAST_MATH=1 \
-D CUDA_FAST_MATH=1 \
-D WITH_CUBLAS=1 \
-D WITH_V4L=ON \
-D WITH_QT=OFF \
-D WITH_OPENGL=ON \
-D WITH_GSTREAMER=ON \
-D OPENCV_GENERATE_PKGCONFIG=ON \
-D OPENCV_PC_FILE_NAME=opencv.pc \
-D OPENCV_ENABLE_NONFREE=ON \
-D OPENCV_PYTHON3_INSTALL_PATH=~/anaconda3/envs/cv2/lib/python3.6/site-packages \
-D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.2.0/modules \
-D PYTHON_EXECUTABLE=~/anaconda3/envs/cv2/bin/python \
-D WITH_CUDNN=ON \
-D OPENCV_DNN_CUDA=ON \
-D CUDA_ARCH_BIN=6.1 \
-D BUILD_EXAMPLES=OFF ..

There are no build-time errors, I made sure to do a make install and ldconfig, but still, there are no Python bindings generated in the ~/anaconda3/envs/cv2/lib/python3.6/site-packages directory.

I also tried with virtualenv instead of Anaconda, but the result was the same. All CUDA libraries are detected correctly and I've been able to build and install other libraries (like DLIB) just fine:

--   NVIDIA CUDA:                   YES (ver 10.0, CUFFT CUBLAS FAST_MATH)
--     NVIDIA GPU arch:             61
--     NVIDIA PTX archs:
-- 
--   cuDNN:                         YES (ver 7.6.2)

Is there something else that I might be missing?

Cheers

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@raulqf raulqf commented May 11, 2020

Have you tried to find cv2.so in your system? In the build configuration summary did the python3 path appear correctly?

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@nhanh9d nhanh9d commented May 17, 2020

image
When i built cmake, i got this error.
I have tried to find a solution for it but nothing worked.

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@foxshared foxshared commented May 31, 2020

Did the cuba 9 toolkit need to install? i still not succes the CUDA = NO

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@raulqf raulqf commented May 31, 2020

image
When i built cmake, i got this error.
I have tried to find a solution for it but nothing worked.

Have you already solved it? When configuring your compilation using CMAKE check carefully the output summary log and confirm that all the dependencies are found.

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@raulqf raulqf commented May 31, 2020

Did the cuba 9 toolkit need to install? i still not succes the CUDA = NO

If you want to compile opencv with cuda support, you must have nvidia drivers and the cuda correctly installed on your system.

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@igor-93 igor-93 commented Jul 5, 2020

script works well for me, thanks a lot! However, I cloned the latest openCV from the git directly and installed python wrappers in my existing conda environment.

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@60999 60999 commented Jul 6, 2020

when under ubuntu18.04 arm64 ,jetson nano jetpack 4.4 dev:
`/opencv-4.3.0/build/build$ cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_C_COMPILER=/usr/bin/gcc-6 -D CMAKE_INSTALL_PREFIX=/usr/local -D INSTALL_PYTHON_EXAMPLES=ON -D INSTALL_C_EXAMPLES=OFF -D WITH_TBB=ON -D WITH_CUDA=ON -D BUILD_opencv_cudacodec=OFF -D ENABLE_FAST_MATH=1 -D CUDA_FAST_MATH=1 -D WITH_CUBLAS=1 -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D WITH_GSTREAMER=ON -D OPENCV_GENERATE_PKGCONFIG=ON -D OPENCV_PC_FILE_NAME=opencv.pc -D OPENCV_ENABLE_NONFREE=ON -D OPENCV_PYTHON3_INSTALL_PATH=/.virtualenvs/cv/lib/python3.6/site-packages -D OPENCV_EXTRA_MODULES_PATH=/downloads/opencv/opencv_contrib-4.3.0/modules -D PYTHON_EXECUTABLE=/.virtualenvs/cv/bin/python -D BUILD_EXAMPLES=ON -D BUILD_SHARED_LIBS=OFF ..
-- The C compiler identification is unknown
CMake Error at CMakeLists.txt:106 (enable_language):
The CMAKE_C_COMPILER:

/usr/bin/gcc-6

is not a full path to an existing compiler tool.

Tell CMake where to find the compiler by setting either the environment
variable "CC" or the CMake cache entry CMAKE_C_COMPILER to the full path to
the compiler, or to the compiler name if it is in the PATH.

-- Configuring incomplete, errors occurred!
See also "/home/aistudio/opencv-4.3.0/build/CMakeFiles/CMakeOutput.log".
See also "/home/aistudio/opencv-4.3.0/build/CMakeFiles/CMakeError.log".`

The error is " is not a full path to an existing compiler tool."
How to fix it?Thanks.

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@anilsathyan7 anilsathyan7 commented Oct 3, 2020

I had to remove the cmake compile option and it automatically works with gcc 7.5.0.
So is it necessary to add this line : -D CMAKE_C_COMPILER=/usr/bin/gcc-6?.
Also i had to run: g++ test.cpp -o test `pkg-config opencv --cflags --libs` (i.e reorder) for compiling the code in ubuntu 18.04 using g++.

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@kunalrustagi08 kunalrustagi08 commented Oct 10, 2020

@raulqf
Hello. I am trying to follow the same setup on my Pop!_OS system, but with opencv4.4.0, CUDA ToolKit 11 and cuDNN8.0 and Quadro K600 graphics card. The compute capability is 3.0

While executing make -j4, an error appeared

[  8%] Built target gen_opencv_python_source
[  8%] Processing OpenCL kernels (core)
[  8%] Building NVCC (Device) object modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_gpu_mat.cu.o
nvcc fatal   : Unsupported gpu architecture 'compute_30'
CMake Error at cuda_compile_1_generated_gpu_mat.cu.o.RELEASE.cmake:222 (message):
  Error generating
  /home/kunal/opencv/build/modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/./cuda_compile_1_generated_gpu_mat.cu.o


make[2]: *** [modules/core/CMakeFiles/opencv_core.dir/build.make:65: modules/core/CMakeFiles/cuda_compile_1.dir/src/cuda/cuda_compile_1_generated_gpu_mat.cu.o] Error 1
make[1]: *** [CMakeFiles/Makefile2:5584: modules/core/CMakeFiles/opencv_core.dir/all] Error 2

and stopped at

[ 12%] Built target libprotobuf
make: *** [Makefile:163: all] Error 2

Please can you help me? Im stuck on this step since the past 3 days. I am not sure what's wrong.

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@raulqf raulqf commented Oct 11, 2020

I had to remove the cmake compile option and it automatically works with gcc 7.5.0.
So is it necessary to add this line : -D CMAKE_C_COMPILER=/usr/bin/gcc-6?.
Also i had to run: g++ test.cpp -o test pkg-config opencv --cflags --libs (i.e reorder) for compiling the code in ubuntu 18.04 using g++.

Hi, It is not necessary but just a reminder in case you were using an old gcc version as it happened to someone who suggested to include the flag. You will find in previous comments.

I will change the re-order of the --cflags and --libs since you are not the first to highlight it, although my system accepts both.

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@raulqf raulqf commented Oct 11, 2020

make -j4

It seems that your NVCC (Nvidica Compiler) does not support your Cuda Compability (CC). Do you have CUDA working properly in your computer? Try to find your correct CC, in case 3.0 is not right, and set it when defining the target architecture.

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@raulqf raulqf commented Oct 11, 2020

when under ubuntu18.04 arm64 ,jetson nano jetpack 4.4 dev:
`/opencv-4.3.0/build/build$ cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_C_COMPILER=/usr/bin/gcc-6 -D CMAKE_INSTALL_PREFIX=/usr/local -D INSTALL_PYTHON_EXAMPLES=ON -D INSTALL_C_EXAMPLES=OFF -D WITH_TBB=ON -D WITH_CUDA=ON -D BUILD_opencv_cudacodec=OFF -D ENABLE_FAST_MATH=1 -D CUDA_FAST_MATH=1 -D WITH_CUBLAS=1 -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D WITH_GSTREAMER=ON -D OPENCV_GENERATE_PKGCONFIG=ON -D OPENCV_PC_FILE_NAME=opencv.pc -D OPENCV_ENABLE_NONFREE=ON -D OPENCV_PYTHON3_INSTALL_PATH=/.virtualenvs/cv/lib/python3.6/site-packages -D OPENCV_EXTRA_MODULES_PATH=/downloads/opencv/opencv_contrib-4.3.0/modules -D PYTHON_EXECUTABLE=/.virtualenvs/cv/bin/python -D BUILD_EXAMPLES=ON -D BUILD_SHARED_LIBS=OFF ..
-- The C compiler identification is unknown
CMake Error at CMakeLists.txt:106 (enable_language):
The CMAKE_C_COMPILER:

/usr/bin/gcc-6

is not a full path to an existing compiler tool.

Tell CMake where to find the compiler by setting either the environment
variable "CC" or the CMake cache entry CMAKE_C_COMPILER to the full path to
the compiler, or to the compiler name if it is in the PATH.

-- Configuring incomplete, errors occurred!
See also "/home/aistudio/opencv-4.3.0/build/CMakeFiles/CMakeOutput.log".
See also "/home/aistudio/opencv-4.3.0/build/CMakeFiles/CMakeError.log".`

The error is " is not a full path to an existing compiler tool."
How to fix it?Thanks.

You have to modify the flags accordingly with your computer configuration. The flag '-D CMAKE_C_COMPILER=/usr/bin/gcc-6' seems to be wrong in your case. Set it correctly or do not include it, CMAKE will try to guess your version.

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