编译源码 - 【OpenCV 3.0 + TBB + IPP + OpenMP + CUDA】- 【win7x64 + vs2012】
1、CMake
先安装好TBB和CUDA，到官网下载，配置系统环境PATH（添加bin目录）；CUDA安装教程
第一次configure时会自动下载ippicv，这里需要耗费一点时间。因为3.0默认进行了ipp的优化。下载后的文件存放于“sources\3rdparty\ippicv”下
勾选“WITH_TBB”、“WITH_IPP”、“WITH_CUDA”、“WITH_OPENMP”，cuda下面还有一个“WITH_FAST_MATH”，是cuda的快速数学库，牺牲精度谋求速度，如果只要求单精度浮点可以选择该项
勾选”BUILD_opencv_world“，则最后生成的库将会合并为两项”opencv_world300.dll“或”opencv_world300d.dll“，以及”opencv_ffmpeg300.dll“，这样做的好处是只需要引用两个库，方便快捷，坏处是很多可能用不着的库，其实没必要引用。
一路configure，遇到TBB not found就设置相应的路径，最后generate
2、打开OpenCV.sln，选择debug或release，build其中的INSTALL项目，等待……
3、build完成后，生成的lib、dll放在install文件夹内，在项目中引用这些库就可以。需要注意的是，如果想debug调试时进入源码，需要在系统环境变量PATH添加OpenCV.sln所在目录的bin\Debug路径，里面含有跟踪源码所需的pdb文件。
调用opencv库的小技巧：
*通过 .props文件 配置项目属性，避免每次新建项目后手动添加路径
找到Microsoft.Cpp.Win32.user.props文件，可以通过explore搜索"Microsoft.Cpp.Win32.user.props"，也可以通过”属性管理器-Debug | win32“的添加现有属性表自动定位到其目录
记事本打开Microsoft.Cpp.Win32.user.props，全部复制
新建一个.props文件，如v11_x86.props，粘贴刚刚复制的内容，然后把 <PropertyGroup>一栏修改为：
<PropertyGroup>
<!--执行路径，即bin文件夹-->
<ExecutablePath>D:\opencv\v11_x86_cuda_ipp_tbb_openmp\bin;D:\Program Files\tbb44_20150728oss\bin\ia32\vc11;$(ExecutablePath)</ExecutablePath>
<!--包含路径-->
<IncludePath>D:\opencv\v11_x86_cuda_ipp_tbb_openmp\include;D:\Program Files\tbb44_20150728oss\include;$(IncludePath)</IncludePath>
<ReferencePath>$(ReferencePath)</ReferencePath>
<!--库路径-->
<LibraryPath>D:\opencv\v11_x86_cuda_ipp_tbb_openmp\lib;D:\Program Files\tbb44_20150728oss\lib\ia32\vc11;$(LibraryPath)</LibraryPath>
<SourcePath>$(SourcePath)</SourcePath>
<ExcludePath>$(ExcludePath)</ExcludePath>
</PropertyGroup>这里设置了三种路径，每台电脑是不一样的
最后在VS中，”属性管理器“-”添加现有属性表“，找到v11_x86.props并添加
通过这样做，只需要写一次props，然后每个新项目都添加这个props，这样就不用手动添加路径了。
注意，新建props必须通过VS中的”属性管理器“-”添加新项目属性表“，不能通过新建txt改后缀的方法，会造成Unicode的问题
*引用库（附加依赖项）
在lib目录下新建一个 .bat，内容如下：
dir *300d.lib /ON /B > lib_debug.txt这可以把lib的文件名输出到一个txt里面，release的如下：
dir *300.lib /ON /B > lib_release.txt
然后打开txt，通过“替换”把文件名修改为
#pragma comment( lib, "opencv_XXXX.lib")的形式，XXXX为保留的内容，如：
将
opencv_calib3d300.lib
替换为
#pragma comment( lib, "opencv_calib3d300.lib")
然后在头文件中引用需要的lib，只需要直接拷贝上面修改得到的代码
这里直接贴上opencv 3.0的库引用代码：
（自己编译的包括cuda、ipp、tbb、openmp的库）
debug
#pragma comment( lib, "opencv_calib3d300d.lib") #pragma comment( lib, "opencv_core300d.lib") #pragma comment( lib, "opencv_cudaarithm300d.lib") #pragma comment( lib, "opencv_cudabgsegm300d.lib") #pragma comment( lib, "opencv_cudacodec300d.lib") #pragma comment( lib, "opencv_cudafeatures2d300d.lib") #pragma comment( lib, "opencv_cudafilters300d.lib") #pragma comment( lib, "opencv_cudaimgproc300d.lib") #pragma comment( lib, "opencv_cudalegacy300d.lib") #pragma comment( lib, "opencv_cudaobjdetect300d.lib") #pragma comment( lib, "opencv_cudaoptflow300d.lib") #pragma comment( lib, "opencv_cudastereo300d.lib") #pragma comment( lib, "opencv_cudawarping300d.lib") #pragma comment( lib, "opencv_cudev300d.lib") #pragma comment( lib, "opencv_features2d300d.lib") #pragma comment( lib, "opencv_flann300d.lib") #pragma comment( lib, "opencv_hal300d.lib") #pragma comment( lib, "opencv_highgui300d.lib") #pragma comment( lib, "opencv_imgcodecs300d.lib") #pragma comment( lib, "opencv_imgproc300d.lib") #pragma comment( lib, "opencv_ml300d.lib") #pragma comment( lib, "opencv_objdetect300d.lib") #pragma comment( lib, "opencv_photo300d.lib") #pragma comment( lib, "opencv_shape300d.lib") #pragma comment( lib, "opencv_stitching300d.lib") #pragma comment( lib, "opencv_superres300d.lib") #pragma comment( lib, "opencv_ts300d.lib") #pragma comment( lib, "opencv_video300d.lib") #pragma comment( lib, "opencv_videoio300d.lib") #pragma comment( lib, "opencv_videostab300d.lib")release
#pragma comment( lib, "opencv_calib3d300.lib") #pragma comment( lib, "opencv_core300.lib") #pragma comment( lib, "opencv_cudaarithm300.lib") #pragma comment( lib, "opencv_cudabgsegm300.lib") #pragma comment( lib, "opencv_cudacodec300.lib") #pragma comment( lib, "opencv_cudafeatures2d300.lib") #pragma comment( lib, "opencv_cudafilters300.lib") #pragma comment( lib, "opencv_cudaimgproc300.lib") #pragma comment( lib, "opencv_cudalegacy300.lib") #pragma comment( lib, "opencv_cudaobjdetect300.lib") #pragma comment( lib, "opencv_cudaoptflow300.lib") #pragma comment( lib, "opencv_cudastereo300.lib") #pragma comment( lib, "opencv_cudawarping300.lib") #pragma comment( lib, "opencv_cudev300.lib") #pragma comment( lib, "opencv_features2d300.lib") #pragma comment( lib, "opencv_flann300.lib") #pragma comment( lib, "opencv_hal300.lib") #pragma comment( lib, "opencv_highgui300.lib") #pragma comment( lib, "opencv_imgcodecs300.lib") #pragma comment( lib, "opencv_imgproc300.lib") #pragma comment( lib, "opencv_ml300.lib") #pragma comment( lib, "opencv_objdetect300.lib") #pragma comment( lib, "opencv_photo300.lib") #pragma comment( lib, "opencv_shape300.lib") #pragma comment( lib, "opencv_stitching300.lib") #pragma comment( lib, "opencv_superres300.lib") #pragma comment( lib, "opencv_ts300.lib") #pragma comment( lib, "opencv_video300.lib") #pragma comment( lib, "opencv_videoio300.lib") #pragma comment( lib, "opencv_videostab300.lib")
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