Windows环境中编译opencv3.0同时加入OPENCV_contrib库及解决遇到相关问题[contrib 必须要3.1以上的opencv才支持了]

更新：现在contrib库必须要opencv3.1以上才能支持编译通过了。

方法和步骤还是和本篇文章一样。

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        因为opencv3.0默认安装中没有加入SIFT、SURF等点特征检测，一百度下一跳，原来这玩意还弄了个其他的库，还只能在GitHub上才能弄到，这两天弄opencv3的contrib库，遇到了一些问题，为了让大家更好、更快用上contrib库，根据谷歌百度的几个问题，现分享给大家完整流程，也欢迎大家与我讨论其他opencv方面的问题。

一、下载安装准备

• github  desktop 下载      windows 7or Later : https://desktop.github.com
• opencv3.0.0 下载        Opencv for Windows：http://opencv.org/downloads.html
• OpenCV_contrib 下载                                ：https://github.com/Itseez/opencv_contrib
• cmake_gui下载   Windows (Win32 Installer)：http://www.cmake.org/download/

　　下载对应版本的以上软件：opencv3.0.0可以直接解压，我的路径为D:opencv3，解压完成后会生成D:opencv3opencv的目录形式。

　　github软件会在线直接安装，在桌面可以直接使用Git Shell ，($ cd D:CVRS_CodeGitHub  也可以设定opencv_contrib下载的其他路径），输入以下命令下载opencv_contrib到指定目录。　

D:CVRS_CodeGitHub> git clone https://github.com/Itseez/opencv_contrib.git

　　cmake_gui 软件直接安装。OK，现在准备工作就绪。

二、利用CMake编译opencv和opencv_contrib库

1. 打开cmake_gui.
2. 把opencv/source文件夹中的CMakeLists.txt文件直接拖入cmake_gui中，where is the source code自动选择opencv的安装目录为D:opencv3opencvsource.
3. 更改where to build the binaries 目录，即我们将要编译的目录，我的是：D:opencv3opencvMybuild
4. 点击configure，点击确定，选择默认编译器，点击finish。cmake将开始进行编译，如果一切顺利将最后显示Configure Done!表明我们configure完成，在出现的红色区域内找到OPENCV，子目录中找到OPENCV_EXTRA_MODULES_PATH，设置它的值为opencv_contrib/modules的绝对路径，在这里我的设置为D:opencv3opencvsourcesmodulesopencv_contribmodules（之前把opencv_contrib放在source文件夹外面，编译不成功，所以这里只介绍我的方法）。
5. 可以再红色区域内再次去掉BUILD_OPENCV 和WITH_CUDA等有些硬件不支持的库，再次点击configure,正常情况会成功显示Configure Done! 然后点击Generate生成。

三、利用VS编译Debug和Release库

1. 打开D:opencv3opencvmybuild目录下的OpenCV.sln
2. 在CMake Target中找到 INSTALL ，在Debug和Release的条件中分别右键选择build，生成debug和release库，这个过程大概持续10-20分钟。
3. 我们会在D:opencv3opencvMybuildinstall文件夹中看到这几个文件目录

--bin
--etc
--include
   --opencv
   --opencv2
--x86
  --vc10
     --bin
     --lib
     --staticlib
--LICENSE
--OpenCVConfig.cmake
--OpenCVConfig-version.cmake

四、Windows和VS中配置Opencv3

1. 添加环境变量PATH D:opencv3opencvMybuildinstallx86vc10in ,记得多个需要用分号（;）隔开。
2. 任意建立一个新的工程，打开视图（View）->Other Windows->Property Manager。点击Debug，双击Microsoft.Cpp.Win32.user，在其中设置：(以下设置完成之后，重复2的操作，选择Release,同样方式设置Microsoft.Cpp.Win32.user)
1. VC++目录-->包含目录，添加：
   • D:opencv3opencvMybuildinstallinclude
   • D:opencv3opencvMybuildinstallincludeopencv
   • D:opencv3opencvMybuildinstallincludeopencv2
2. VC++目录-->库目录，添加：
           D:opencv3opencvMybuildinstallx86vc10lib
3. 链接器-->输入-->附加依赖项，添加：

opencv_aruco300d.lib
opencv_bgsegm300d.lib
opencv_bioinspired300d.lib
opencv_calib3d300d.lib
opencv_ccalib300d.lib
opencv_core300d.lib
opencv_dnn300d.lib
opencv_face300d.lib
opencv_features2d300d.lib
opencv_flann300d.lib
opencv_highgui300d.lib
opencv_imgcodecs300d.lib
opencv_imgproc300d.lib
opencv_line_descriptor300d.lib
opencv_ml300d.lib
opencv_objdetect300d.lib
opencv_optflow300d.lib
opencv_photo300d.lib
opencv_reg300d.lib
opencv_rgbd300d.lib
opencv_saliency300d.lib
opencv_shape300d.lib
opencv_stereo300d.lib
opencv_stitching300d.lib
opencv_superres300d.lib
opencv_surface_matching300d.lib
opencv_video300d.lib
opencv_videoio300d.lib
opencv_videostab300d.lib
opencv_xfeatures2d300d.lib
opencv_ximgproc300d.lib
opencv_xobjdetect300d.lib
opencv_xphoto300d.lib
opencv_aruco300.lib
opencv_bgsegm300.lib
opencv_bioinspired300.lib
opencv_calib3d300.lib
opencv_ccalib300.lib
opencv_core300.lib
opencv_dnn300.lib
opencv_face300.lib
opencv_features2d300.lib
opencv_flann300.lib
opencv_highgui300.lib
opencv_imgcodecs300.lib
opencv_imgproc300.lib
opencv_line_descriptor300.lib
opencv_ml300.lib
opencv_objdetect300.lib
opencv_optflow300.lib
opencv_photo300.lib
opencv_reg300.lib
opencv_rgbd300.lib
opencv_saliency300.lib
opencv_shape300.lib
opencv_stereo300.lib
opencv_stitching300.lib
opencv_superres300.lib
opencv_surface_matching300.lib
opencv_video300.lib
opencv_videoio300.lib
opencv_videostab300.lib
opencv_xfeatures2d300.lib
opencv_ximgproc300.lib
opencv_xobjdetect300.lib
opencv_xphoto300.lib

五、遇到相关问题及解决方法

1.在cmake第二次进行编译时候，可能出现了cmake报错：

-- ICV: Downloading ippicv_windows_20140513.tgz...
CMake Error at 3rdparty/ippicv/downloader.cmake:71 (file):
  file DOWNLOAD HASH mismatch

    for file: [/tmp/dpkg-mkdeb.NSafYgjHYT/src/opencv-3.0.0-alpha/3rdparty/ippicv/downloads/linux-d80cb24f3a565113a9d6dc56344142f6/ippicv_linux_20140513.tgz]
      expected hash: [d80cb24f3a565113a9d6dc56344142f6]
        actual hash: [20d82f68c11c137093b960677093fdac]

Call Stack (most recent call first):
  3rdparty/ippicv/downloader.cmake:108 (_icv_downloader)
  cmake/OpenCVFindIPP.cmake:212 (include)
  cmake/OpenCVFindLibsPerf.cmake:12 (include)
  CMakeLists.txt:449 (include)

这种情况就可以在http://sourceforge.net/projects/opencvlibrary/files/3rdparty/ippicv/ 网站手动下载ippicv压缩包，放到D:opencv3opencvsources3rdpartyippicvdownloadswindows-b59f865d1ba16e8c84124e19d78eec57 文件夹中，然后再重新编译cmake。

六、参考资料

【1】https://github.com/Itseez/opencv_contrib/blob/master/README.md   这个是用cmake-gui编译opencv_contrib的英文说明文档。

【2】http://segmentfault.com/a/1190000003496009  poemqiong 博主的opencv_contrib文章参考

【3】http://stackoverflow.com  可以在国外的这个论坛上寻找你遇到各种安装问题，一般解答都挺有效的。