在CUDA_cufft_LIBRARY中构建opencv时出现CMake错误(高级)

Question

我正在使用CMake3.7.2来构建opencv 3.2.0。配置过程显示错误如下：

CMake错误:在此项目中使用了以下变量，但它们被设置为NOTFOUND。请设置它们或确保在CMake文件中正确设置和测试它们：

CUDA_cufft_LIBRARY (ADVANCED)
    linked by target "opencv_cudev" in directory C:/opencv-3.2/source/modules/cudev
    linked by target "opencv_test_cudev" in directory C:/opencv-3.2/source/modules/cudev/test
    linked by target "opencv_core" in directory C:/opencv-3.2/source/modules/core
    linked by target "opencv_test_core" in directory C:/opencv-3.2/source/modules/core
    linked by target "opencv_perf_core" in directory C:/opencv-3.2/source/modules/core
    linked by target "opencv_test_cudaarithm" in directory C:/opencv-3.2/source/modules/cudaarithm
    linked by target "opencv_cudaarithm" in directory C:/opencv-3.2/source/modules/cudaarithm
    linked by target "opencv_cudaarithm" in directory C:/opencv-3.2/source/modules/cudaarithm
    linked by target "opencv_perf_cudaarithm" in directory C:/opencv-3.2/source/modules/cudaarithm
    linked by target "opencv_flann" in directory C:/opencv-3.2/source/modules/flann
    linked by target "opencv_test_flann" in directory C:/opencv-3.2/source/modules/flann
    linked by target "opencv_imgproc" in directory C:/opencv-3.2/source/modules/imgproc
    linked by target "opencv_test_imgproc" in directory C:/opencv-3.2/source/modules/imgproc
    linked by target "opencv_perf_imgproc" in directory C:/opencv-3.2/source/modules/imgproc
    linked by target "opencv_test_ml" in directory C:/opencv-3.2/source/modules/ml
    linked by target "opencv_ml" in directory C:/opencv-3.2/source/modules/ml
    linked by target "opencv_test_video" in directory C:/opencv-3.2/source/modules/video
    linked by target "opencv_video" in directory C:/opencv-3.2/source/modules/video
    linked by target "opencv_perf_video" in directory C:/opencv-3.2/source/modules/video
    linked by target "opencv_cudabgsegm" in directory C:/opencv-3.2/source/modules/cudabgsegm
    linked by target "opencv_test_cudabgsegm" in directory C:/opencv-3.2/source/modules/cudabgsegm
    linked by target "opencv_perf_cudabgsegm" in directory C:/opencv-3.2/source/modules/cudabgsegm
    linked by target "opencv_cudafilters" in directory C:/opencv-3.2/source/modules/cudafilters
    linked by target "opencv_test_cudafilters" in directory C:/opencv-3.2/source/modules/cudafilters
    linked by target "opencv_perf_cudafilters" in directory C:/opencv-3.2/source/modules/cudafilters
    linked by target "opencv_cudaimgproc" in directory C:/opencv-3.2/source/modules/cudaimgproc
    linked by target "opencv_test_cudaimgproc" in directory C:/opencv-3.2/source/modules/cudaimgproc
    linked by target "opencv_perf_cudaimgproc" in directory C:/opencv-3.2/source/modules/cudaimgproc
    linked by target "opencv_perf_cudawarping" in directory C:/opencv-3.2/source/modules/cudawarping
    linked by target "opencv_cudawarping" in directory C:/opencv-3.2/source/modules/cudawarping
    linked by target "opencv_test_cudawarping" in directory C:/opencv-3.2/source/modules/cudawarping
    linked by target "opencv_imgcodecs" in directory C:/opencv-3.2/source/modules/imgcodecs
    linked by target "opencv_test_imgcodecs" in directory C:/opencv-3.2/source/modules/imgcodecs
    linked by target "opencv_perf_imgcodecs" in directory C:/opencv-3.2/source/modules/imgcodecs
    linked by target "opencv_perf_photo" in directory 
    ..........

Answer 1

选择vs2015-win64作为编译器确实解决了我的问题。