使用cuda编译Opencv源会产生多个定义链接错误

Question

我想用cuda 8构建opencv 3.2并且我已经在我的linux系统中安装了cuda所需的所有库,这是Debian 9 testing (stretch) 4.9.0-1-amd64 在使用cmake成功生成makefile之后我通过执行make命令得到多个定义链接错误.我用cmake尝试过很多配置,而且我在很多论坛上检查了几乎所有的相关问题,但我找不到任何解决方案.在cmake中,我已经将cuda编译器更改为gcc-5,因为cuda 8需要gcc编译器不晚于版本5,默认gcc编译器是版本6.3这是我的cmake配置输出:

OpenCV modules:
    To be built:                 cudev core cudaarithm flann imgproc ml video cudabgsegm cudafilters cudaimgproc cudawarping imgcodecs photo shape videoio cudacodec highgui objdetect ts features2d calib3d cudafeatures2d cudalegacy cudaobjdetect cudaoptflow cudastereo java stitching superres videostab python2 python3
    Disabled:                    world
    Disabled by dependency:      -
    Unavailable:                 viz

  GUI: 
    QT 5.x:                      YES (ver 5.7.1)
    QT OpenGL support:           YES (Qt5::OpenGL 5.7.1)
    OpenGL support:              YES (/usr/lib/x86_64-linux-gnu/libGLU.so /usr/lib/x86_64-linux-gnu/libGL.so)
    VTK support:                 NO

  Media I/O: 
    ZLib:                        /usr/lib/x86_64-linux-gnu/libz.so (ver 1.2.8)
    JPEG:                        /usr/lib/x86_64-linux-gnu/libjpeg.so (ver )
    WEBP:                        build (ver encoder: 0x020e)
    PNG:                         /usr/lib/x86_64-linux-gnu/libpng.so (ver 1.6.28)
    TIFF:                        /usr/lib/x86_64-linux-gnu/libtiff.so (ver 42 - 4.0.7)
    JPEG 2000:                   /usr/lib/x86_64-linux-gnu/libjasper.so (ver 1.900.1)
    OpenEXR:                     /usr/lib/x86_64-linux-gnu/libImath.so /usr/lib/x86_64-linux-gnu/libIlmImf.so /usr/lib/x86_64-linux-gnu/libIex.so /usr/lib/x86_64-linux-gnu/libHalf.so /usr/lib/x86_64-linux-gnu/libIlmThread.so (ver 2.2.0)
    GDAL:                        NO
    GDCM:                        NO

  Video I/O:
    DC1394 1.x:                  NO
    DC1394 2.x:                  YES (ver 2.2.5)
    FFMPEG:                      YES
      avcodec:                   YES (ver 57.64.101)
      avformat:                  YES (ver 57.56.101)
      avutil:                    YES (ver 55.34.101)
      swscale:                   YES (ver 4.2.100)
      avresample:                YES (ver 3.1.0)
    GStreamer:                   NO
    OpenNI:                      NO
    OpenNI PrimeSensor Modules:  NO
    OpenNI2:                     NO
    PvAPI:                       NO
    GigEVisionSDK:               NO
    Aravis SDK:                  NO
    UniCap:                      NO
    UniCap ucil:                 NO
    V4L/V4L2:                    NO/YES
    XIMEA:                       NO
    Xine:                        NO
    gPhoto2:                     YES

  Parallel framework:            TBB (ver 4.3 interface 8006)

  Other third-party libraries:
    Use IPP:                     9.0.1 [9.0.1]
         at:                     /home/user/opencv_build/3rdparty/ippicv/ippicv_lnx
    Use IPP Async:               NO
    Use VA:                      NO
    Use Intel VA-API/OpenCL:     NO
    Use Lapack:                  NO
    Use Eigen:                   YES (ver 3.3.2)
    Use Cuda:                    YES (ver 8.0)
    Use OpenCL:                  YES
    Use OpenVX:                  NO
    Use custom HAL:              NO

  NVIDIA CUDA
    Use CUFFT:                   YES
    Use CUBLAS:                  YES
    USE NVCUVID:                 NO
    NVIDIA GPU arch:             20 30 35 37 50 52 60 61
    NVIDIA PTX archs:
    Use fast math:               YES

  OpenCL:                        <Dynamic loading of OpenCL library>
    Include path:                /home/user/git/opencv/opencv/3rdparty/include/opencl/1.2
    Use AMDFFT:                  NO
    Use AMDBLAS:                 NO

  Python 2:
    Interpreter:                 /usr/bin/python2.7 (ver 2.7.13)
    Libraries:                   /usr/lib/x86_64-linux-gnu/libpython2.7.so (ver 2.7.13)
    numpy:                       /usr/lib/python2.7/dist-packages/numpy/core/include (ver 1.12.0)
    packages path:               lib/python2.7/dist-packages

  Python 3:
    Interpreter:                 /usr/bin/python3 (ver 3.5.3)
    Libraries:                   /usr/lib/x86_64-linux-gnu/libpython3.5m.so (ver 3.5.3)
    numpy:                       /usr/lib/python3/dist-packages/numpy/core/include (ver 1.12.0)
    packages path:               lib/python3.5/dist-packages

  Python (for build):            /usr/bin/python2.7

  Java:
    ant:                         /usr/bin/ant (ver 1.9.8)
    JNI:                         /usr/lib/jvm/java-8-openjdk-amd64/include /usr/lib/jvm/java-8-openjdk-amd64/include/linux /usr/lib/jvm/java-8-openjdk-amd64/include
    Java wrappers:               YES
    Java tests:                  NO

  Matlab:                        Matlab not found or implicitly disabled

  Documentation:
    Doxygen:                     /usr/bin/doxygen (ver 1.8.13)

  Tests and samples:
    Tests:                       NO
    Performance tests:           NO
    C/C++ Examples:              YES

  Install path:                  /usr/local

这是make命令输出

[ 10%] Built target libwebp
[ 10%] Built target opencv_cudev
[ 14%] Built target opencv_core
[ 14%] Linking CXX shared library ../../lib/libopencv_cudaarithm.so
CMakeFiles/cuda_compile.dir/src/cuda/cuda_compile_generated_absdiff_scalar.cu.o:(.bss+0xd090): multiple definition of `cv::cudev::color_cvt_detail::c_RGB2YUVCoeffs_f'
CMakeFiles/cuda_compile.dir/src/cuda/cuda_compile_generated_absdiff_mat.cu.o:(.bss+0xd090): first defined here
CMakeFiles/cuda_compile.dir/src/cuda/cuda_compile_generated_absdiff_scalar.cu.o:(.bss+0xd070): multiple definition of `cv::cudev::color_cvt_detail::c_RGB2YUVCoeffs_i'
CMakeFiles/cuda_compile.dir/src/cuda/cuda_compile_generated_absdiff_mat.cu.o:(.bss+0xd070): first defined here
.....
.....
CMakeFiles/cuda_compile.dir/src/cuda/cuda_compile_generated_transpose.cu.o:(.bss+0x0): multiple definition of `cv::cudev::color_cvt_detail::c_LabCbrtTab'
CMakeFiles/cuda_compile.dir/src/cuda/cuda_compile_generated_absdiff_mat.cu.o:(.bss+0x0): first defined here
collect2: error: ld returned 1 exit status
modules/cudaarithm/CMakeFiles/opencv_cudaarithm.dir/build.make:11685: recipe for target 'lib/libopencv_cudaarithm.so.3.2.0' failed
make[2]: *** [lib/libopencv_cudaarithm.so.3.2.0] Error 1
CMakeFiles/Makefile2:1204: recipe for target 'modules/cudaarithm/CMakeFiles/opencv_cudaarithm.dir/all' failed
make[1]: *** [modules/cudaarithm/CMakeFiles/opencv_cudaarithm.dir/all] Error 2
Makefile:160: recipe for target 'all' failed
make: *** [all] Error 2

Answer 1

我研究了很多解决方法，最后我想出了一个在 Debian 9 中使用 Cuda 8 构建 OpenCV 3.2 的解决方案。这个解决方案有很多未解答的原因，但它确实有效：

1-您需要 gcc 编译器版本 5.1 至 5.x。

2-您应该安装 g++ 的等效编译器版本（您不需要卸载较新的编译器版本）

3-OpenCV 本身应该使用 gcc 5.x 进行编译，因此您应该在 CMAKE 中手动选择 gcc 和 g++ 编译器

4-感谢 @InfinityChaos 提供的此功能，应从 CMAKE 禁用单独的编译选项

5-应从 CMAKE 禁用预编译器选项（非常重要）

6-您可以启用 Qt、OpenGL 和 OpenCl 选项，不会出现任何问题

7-您不需要标记TBB选项。