编译源码 - 【OpenCV 3.x + TBB + IPP + OpenMP + CUDA 6.5（更新cuda 8.0）】- 【win7x64 + vs2012】

时间：2022-06-19 02:47:46

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")


--------------


2016 更新：

编译 opencv 3.x + CUDA 8.0 问题


错误

错误	37140	error C2059: 语法错误:“newline”	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	135
错误	37137	error C2061: 语法错误: 标识符“NppiGraphcutState”	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	120
错误	37152	error C2065: “nppiGraphcut8InitAlloc”: 未声明的标识符	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	254
错误	37148	error C2065: “nppiGraphcutInitAlloc”: 未声明的标识符	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	182
错误	37144	error C2065: “pState”: 未声明的标识符	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	127
错误	37145	error C2065: “pState”: 未声明的标识符	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	132
错误	37142	error C2143: 语法错误 : 缺少“;”(在“*”的前面)	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	141
错误	37141	error C2334: “{”的前面有意外标记；跳过明显的函数体	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	136
错误	37139	error C2833: “operator NppiGraphcutState”不是可识别的运算符或类型	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	135
错误	37150	error C3861: “nppiGraphcut_32f8u”: 找不到标识符	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	196
错误	37149	error C3861: “nppiGraphcut_32s8u”: 找不到标识符	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	191
错误	37154	error C3861: “nppiGraphcut8_32f8u”: 找不到标识符	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	274
错误	37153	error C3861: “nppiGraphcut8_32s8u”: 找不到标识符	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	267
错误	37151	error C3861: “nppiGraphcut8GetSize”: 找不到标识符	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	246
错误	37146	error C3861: “nppiGraphcutFree”: 找不到标识符	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	132
错误	37147	error C3861: “nppiGraphcutGetSize”: 找不到标识符	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	174
错误	37143	error C4430: 缺少类型说明符 - 假定为 int。注意: C++ 不支持默认 int	D:\opencv\310\opencv\sources\modules\cudalegacy\src\graphcuts.cpp	141
错误	37212	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_cudalegacy310d.lib”	D:\opencv\310\mybuild\modules\cudalegacy\LINK
错误	37223	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_cudalegacy310d.lib”	D:\opencv\310\mybuild\modules\cudalegacy\LINK
错误	37440	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_cudalegacy310d.lib”	D:\opencv\310\mybuild\modules\stitching\LINK
错误	38012	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_cudalegacy310d.lib”	D:\opencv\310\mybuild\modules\cudaobjdetect\LINK
错误	38833	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_cudalegacy310d.lib”	D:\opencv\310\mybuild\modules\cudaoptflow\LINK
错误	39744	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_cudaobjdetect310d.lib”	D:\opencv\310\mybuild\modules\cudaobjdetect\LINK
错误	39746	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_cudaobjdetect310d.lib”	D:\opencv\310\mybuild\modules\cudaobjdetect\LINK
错误	39177	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_cudaoptflow310d.lib”	D:\opencv\310\mybuild\modules\cudaoptflow\LINK
错误	39179	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_cudaoptflow310d.lib”	D:\opencv\310\mybuild\modules\cudaoptflow\LINK
错误	39754	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_cudaoptflow310d.lib”	D:\opencv\310\mybuild\modules\superres\LINK
错误	39756	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_cudaoptflow310d.lib”	D:\opencv\310\mybuild\modules\videostab\LINK
错误	37450	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_stitching310d.lib”	D:\opencv\310\mybuild\modules\stitching\LINK
错误	37456	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_stitching310d.lib”	D:\opencv\310\mybuild\modules\stitching\LINK
错误	39766	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_superres310d.lib”	D:\opencv\310\mybuild\modules\superres\LINK
错误	39768	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_superres310d.lib”	D:\opencv\310\mybuild\modules\superres\LINK

这是因为opencv 3.x不兼容CUDA 8.0，opencv 3.1是2015年底发布的，而cuda 8.0则是2016年发布的，opencv还来不及适配，只能等待新版本解决该问题？处女座选择继续捣鼓

cuda 8.0中缺少了NppiGraphcutState的声明，而在cuda 6.5中是有该结构体的声明，具体查看 NVIDIA GPU Computing Toolkit\CUDA\v6.5\include\nppi_computer_vision.h， cuda 8.0中也有该文件，但里面是空的

#ifndef NV_NPPI_COMPUTER_VISION_H
#define NV_NPPI_COMPUTER_VISION_H
 
/**
 * \file nppi_computer_vision.h
 * NPP Image Processing Functionality.
 */
 
#include "nppdefs.h"


#ifdef __cplusplus
extern "C" {
#endif


#ifdef __cplusplus
} /* extern "C" */
#endif

#endif /* NV_NPPI_COMPUTER_VISION_H */

CUDA doc里面有说明：the NPP graphcut APIs, which have been deprecated in CUDA 7.5，也就是说不仅是cuda 8.0，连cuda 7.5也存在以上问题。所以，需要将opencv源码中调用了cuda的graphcut api的部分去掉。opencv 2.4.13是2016年中发布，其中就兼容了CUDA 8.0，查看了 opencv 2.4.13的graphcuts.cpp，果真就是这样做的

// GraphCut has been removed in NPP 8.0
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) || (CUDART_VERSION >= 8000)
所以，只要将opencv 3.x的graphcuts.cpp的宏 

#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
替换为 

#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) || (CUDART_VERSION >= 8000)


修改后，编译成功


--------------

尝试编译opencv 2.4.13+CUDA 8.0，报错

错误	23716	error C1076: 编译器限制 : 达到内部堆限制；使用 /Zm 指定更高的限制	C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\include\xmemory0	605
错误	23715	error C3859: 超过了 PCH 的虚拟内存范围；请使用“-Zm115”或更大的命令行选项重新编译	C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\include\xmemory0	605
错误	23718	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_stitching2413d.lib”	D:\opencv\2413\mybuild\modules\stitching\LINK
错误	23722	error LNK1104: 无法打开文件“..\..\lib\Debug\opencv_stitching2413d.lib”	D:\opencv\2413\mybuild\modules\stitching\LINK
错误	23723	error MSB3073: 命令“setlocal
"C:\Program Files\CMake\bin\cmake.exe" -DBUILD_TYPE=Debug -P cmake_install.cmake
if %errorlevel% neq 0 goto :cmEnd
:cmEnd
endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone
:cmErrorLevel
exit /b %1
:cmDone
if %errorlevel% neq 0 goto :VCEnd
:VCEnd”已退出，代码为 1。	C:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\V110\Microsoft.CppCommon.targets	134
解决方法：opencv_stitching项目属性-C/C++-命令行-添加/Zm115 ，再build一次INSTALL，注意不要选择rebuild


小问题：CMake configure的时候warning 

CMake Warning at cmake/OpenCVPackaging.cmake:23 (message):
  CPACK_PACKAGE_VERSION does not match version provided by version.hpp
  header!
Call Stack (most recent call first):
  CMakeLists.txt:1105 (include)

分别试了CMake 2.8.12、3.7.1、3.4.3，均弹出warning，无解，不管



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