我想用 cuda 8 构建 opencv 3.2，我已经在我的 linux 系统中安装了 cuda 所需的所有库，这是一个 Debian 9 testing (stretch) 4.9.0-1-amd64
使用 cmake 成功生成 makefile 后，通过执行 make 命令出现多重定义链接错误。
我用 cmake 尝试了很多配置，我也检查了很多论坛中几乎所有相关问题，但我找不到任何解决方案。
在 cmake 中，我将 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命令的输出
[ 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
最佳答案
好吧，终于找到了一个解决方法。 (顺便说一句，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，CUDA 可分离编译不能在 Linux 中使用。 (您必须为此使用 Windows)。我在 OpenCV 存储库的一个问题(https://github.com/opencv/opencv/issues/5557)中发现了这一点。
附言:
我在使用 Qt5 构建 OpenCV 时遇到了问题。如果你成功了，请在评论中通知我。谢谢!
关于c++ - opencv源码用cuda编译生成多重定义链接错误，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/42450427/