Windows环境使用VS2017编译opencv-4.2.0和opencv_contrib-4.2.0源码，支持TBB
一、准备工作
cmake v3.15.7 x64：https://cmake.org/files/v3.15/
opencv-4.2.0： https://github.com/opencv/opencv/releases
opencv_contrib-4.2.0： https://github.com/opencv/opencv_contrib/releases
tbb-2019_U9： https://github.com/intel/tbb/releases
opencv分为x86和x64编译,VS2017
二、VS2017编译TBB
去官网下载TBB的源码，解压，然后：
使用VS2017打开工程文件tbb-2019_U9\build\vs2013\makefile.sln，直接编译即可，分别编译x86和x64，生成动态库。
三、配置CMake的编译选项
去掉勾选 BUILD_DOCS、BUILD_EXAMPLES、BUILD_TESTS，为了节省时间
勾选WITH_TBB, 实现并行处理。不需勾选BUILD_TBB和MKL_WITH_TBB，这两项维持默认值即可。
F:\Machine Vision\OpenCV\source\opencv-4.2.0\modules\core\src\parallel.cpp里面有很多宏定义#if defined HAVE_TBB
如果不使能TBB的话，opencv-4.2.0自带并默认使用了微软的PPL并行库。#define HAVE_CONCURRENCY
编译平台对应关系是Visual Studio 2010（即宏 _MSC_VER = 1600）
#if defined _MSC_VER && _MSC_VER >= 1600
#define HAVE_CONCURRENCY
#endif
/* IMPORTANT: always use the same order of defines
- HAVE_TBB - 3rdparty library, should be explicitly enabled
- HAVE_HPX - 3rdparty library, should be explicitly enabled
- HAVE_OPENMP - integrated to compiler, should be explicitly enabled
- HAVE_GCD - system wide, used automatically (APPLE only)
- WINRT - system wide, used automatically (Windows RT only)
- HAVE_CONCURRENCY - part of runtime, used automatically (Windows only - MSVS 10, MSVS 11)
- HAVE_PTHREADS_PF - pthreads if available
*/
#if defined HAVE_TBB
#include "tbb/tbb.h"
#include "tbb/task.h"
#include "tbb/tbb_stddef.h"
#if TBB_INTERFACE_VERSION >= 8000
#include "tbb/task_arena.h"
#endif
#undef min
#undef max
#elif defined HAVE_HPX
#include
#include
//
#include
#include
#include
#include
#include
#elif defined HAVE_OPENMP
#include
#elif defined HAVE_GCD
#include
#include
#elif defined WINRT && _MSC_VER < 1900
#include
#elif defined HAVE_CONCURRENCY
#include
#endif 勾选OPENCV_ENABLE_NONFREE，如果没有勾选，那么类似SIFT这种已经被申请专利的方法就无法使用。
搜索OPENCV_EXTRA_MODULES_PATH
然后在value中填入源码包opencv_contrib解压目录中的modules路径(注意：此处路径的反斜杠\要改成正斜杠/，反斜杠\有转义字符的意思)。
错误的 F:\Machine Vision\OpenCV\source\opencv_contrib-4.2.0\modules
正确的 F:/Machine Vision/OpenCV/source/opencv_contrib-4.2.0/modules
可选项，默认已勾选 BUILD_SHARED_LIBS，取决于你想把库编译为动态库还是静态库，我在本篇教程使用默认值：动态库（已勾选）
可选项，默认未勾选 BUILD_opencv_world，取决于你是否想把所有的dll动态库都整合为1个文件，我在本篇教程使用默认值，没勾选
以上配置选项准备完毕后，点击按钮“Configure”。
四、下载ipp和ffmpeg文件
点击按钮“Configure”之后，准备过程会下载以下几个文件：
ippicv_2019_win_ia32_20180723_general.zip
opencv_videoio_ffmpeg.dll
opencv_videoio_ffmpeg_64.dll
ffmpeg_version.cmake
这几个文件下载完，会分别存储在路径：
opencv-4.2.0\.cache\ippicv
opencv-4.2.0\.cache\ffmpeg
cmake configure过程的输出日志是：
opencv-4.2.0\build_x86\CMakeDownloadLog.txt
如果上述文件下载失败，CMake会红色字体报错，打开日志CMakeDownloadLog.txt，可以看到：
https://raw.githubusercontent.com/opencv/opencv_3rdparty/32e315a5b106a7b89dbed51c28f8120a48b368b4/ippicv/ippicv_2019_win_ia32_20180723_general.zip
https://raw.githubusercontent.com/opencv/opencv_3rdparty/a66a24e9f410ae05da4baeeb8b451912664ce49c/ffmpeg/opencv_videoio_ffmpeg.dll
https://raw.githubusercontent.com/opencv/opencv_3rdparty/a66a24e9f410ae05da4baeeb8b451912664ce49c/ffmpeg/opencv_videoio_ffmpeg_64.dll
https://raw.githubusercontent.com/opencv/opencv_3rdparty/a66a24e9f410ae05da4baeeb8b451912664ce49c/ffmpeg/ffmpeg_version.cmake
#check_md5 "F:/Machine Vision/OpenCV/source/opencv-4.2.0/.cache/ippicv/0157251a2eb9cd63a3ebc7eed0f3e59e-ippicv_2019_win_ia32_20180723_general.zip"
#check_md5 "F:/Machine Vision/OpenCV/source/opencv-4.2.0/.cache/ffmpeg/5de6044cad9398549e57bc46fc13908d-opencv_videoio_ffmpeg.dll"
#check_md5 "F:/Machine Vision/OpenCV/source/opencv-4.2.0/.cache/ffmpeg/55c0bc8ad27db00116fabf06508de196-opencv_videoio_ffmpeg_64.dll"
#check_md5 "F:/Machine Vision/OpenCV/source/opencv-4.2.0/.cache/ffmpeg/ad57c038ba34b868277ccbe6dd0f9602-ffmpeg_version.cmake"
opencv-4.2.0\build_x86\3rdparty\ffmpeg
opencv-4.2.0\build_x86\3rdparty\ippicv日志记录了需要下载的url，和它们对应的MD5值。可以自己打开网址下载文件，然后重命名为
0157251a2eb9cd63a3ebc7eed0f3e59e-ippicv_2019_win_ia32_20180723_general.zip
5de6044cad9398549e57bc46fc13908d-opencv_videoio_ffmpeg.dll
55c0bc8ad27db00116fabf06508de196-opencv_videoio_ffmpeg_64.dll
ad57c038ba34b868277ccbe6dd0f9602-ffmpeg_version.cmake
此外，以下文件也是需要下载的，网址在CMakeDownloadLog.txt都有描述。
boostdesc_bgm.i
boostdesc_bgm_bi.i
boostdesc_bgm_hd.i
boostdesc_lbgm.i
boostdesc_binboost_064.i
boostdesc_binboost_128.i
boostdesc_binboost_256.i
vgg_generated_120.i
vgg_generated_64.i
vgg_generated_80.i
vgg_generated_48.i这里附上我自己下载成功的文件，如果读者下载失败，可以使用我的。[见文章末尾附件]
五、配置CMake的TBB头文件和库
经过前面步骤的Configure，搜索TBB_，会有TBB的选项跑出来，需要填写：（截图仅举例x86的情况，x64一样）
x86
F:/Machine Vision/OpenCV/source/tbb-2019_U9/include
F:/Machine Vision/OpenCV/source/tbb-2019_U9/build/vs2013/Win32/Release/tbb.lib
F:/Machine Vision/OpenCV/source/tbb-2019_U9/build/vs2013/Win32/Debug/tbb_debug.lib
F:/Machine Vision/OpenCV/source/tbb-2019_U9/include/tbb/tbb_stddef.h
x64
F:/Machine Vision/OpenCV/source/tbb-2019_U9/include
F:/Machine Vision/OpenCV/source/tbb-2019_U9/build/vs2013/x64/Release/tbb.lib
F:/Machine Vision/OpenCV/source/tbb-2019_U9/build/vs2013/x64/Debug/tbb_debug.lib
F:/Machine Vision/OpenCV/source/tbb-2019_U9/include/tbb/tbb_stddef.h
执行Configure，再次执行Configure（因为TBB_VER_FILE字段此时才跑出来），然后Generate，最后Open Project，打开VS工程...
源码F:\Machine Vision\OpenCV\source\opencv-4.2.0\build_x86\cvconfig.h，可以看到宏HAVE_TBB已定义！
/* Intel Threading Building Blocks */
#define HAVE_TBB
六、VS-生成-批生成
1、\opencv-4.2.0\build_x86\OpenCV.sln
2、\opencv-4.2.0\build_x64\OpenCV.sln
七、附件
1、编译opencv-4.2.0需要的opencv_videoio_ffmpeg.dll，opencv_videoio_ffmpeg_64.dll
https://download.csdn.net/download/libaineu2004/12150698
2、tbb-2019_U9源码和vs2017编译生成的库
https://download.csdn.net/download/libaineu2004/12150701
3、opencv-4.2.0编译的库文件和测试案例
https://download.csdn.net/download/libaineu2004/12150708
八、姊妹篇
《解决MFC使用OpenCV动态库会误报内存泄露的问题（太多人遇到这个问题了）》
《macOS环境使用clang/makefile编译opencv-4.2.0和opencv_contrib-4.2.0源码》
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参考文献
https://blog.csdn.net/weijifen000/article/details/93377143
https://blog.csdn.net/gggttt222/article/details/79482033