Question

我想用cuda 8构建opencv 3.2，我已经在我的linux系统中为cuda安装了所有必需的库，Debian 9 testing (stretch) 4.9.0-1-amd64 成功生成带有cmake的makefile后，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，我已将cuda编译器更改为gcc-5，因为cuda 8需要gcc编译器不迟于版本5，默认gcc编译器版本为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

好的，最后找到了解决方法。（顺便说一下，我正在使用CMake GUI）。

您必须在CMake-GUI选项中取消选中CUDA_SEPARABLE_COMPILATION。

不幸的是，这只是一种解决方法，而且CUDA可分离的编译不能在Linux中使用。（你必须使用Windows）。我在OpenCV存储库中的一个问题（https://github.com/opencv/opencv/issues/5557）中发现了这一点。

<强> PS：

我在使用Qt5构建OpenCV时遇到问题。如果您成功，请在评论中通知我。谢谢！

Answer 2

我已经研究了很多解决方法，最后我想出了一个解决方案，用Debian 9中的Cuda 8构建OpenCV 3.2。这个解决方案有很多未解决的问题，但实际上有效：

1 - 你需要gcc编译器版本5.1到5.x。

2 - 您应该为g ++安装等效的编译器版本（您不需要卸载新的编译器版本）

3 - OpenCV本身应该用gcc 5.x编译，所以你应该在CMAKE中手动选择你的gcc和g ++编译器

4 - 应该从CMAKE禁用单独的编译选项感谢@InfinityChaos提供此优惠

5 - 应该从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。

使用cuda编译Opencv源会产生多个定义链接错误

2 个答案: