Cmake3.6.3+VS2012下编译OpenCV-2.4.10静态库(已验证)

以前用OpenCV都是用动态库来进行开发,但要是对于一个简单的demo,也这样来做,展示的时候,如果对方电脑没有OpenCV环境,又得从头配,比较麻烦。最近在网上查询得知,可以将OpenCV编译成静态库,这样电脑不用配置OpenCV环境,只要加上静态库就OK了。

1、Cmake编译OpenCV(这里是OpenCV-2.4.10)

其他的步骤和编译OpenCV源码一致,可以看我前面的博客,唯一不同的是,在第二次Configure的时候,取消勾选BUILD_SHARED_LIBS,后面顺序不变。


2、编译OpenCV.sln,这个也和编译源码一致。成功后,如下图:



3、VS2012中配置OpenCV:

首先添加包含目录include、opencv和opencv2;然后添加库目录“E:\学习资料\OpenCV\opencv-2.4.10\mybuildsolution\install\x86\vc11\staticlib”;最后添加lib,这里需要注意的是有两种方式:第一种,

(1) 非opencv库(必须)(注:如果忘记添加可能出现link2019的错误

  1. vfw32. lib
  2. comctl32. lib
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(2) OPENCV库(可以选择需要的)

  1. IlmImfd.lib
  2. libjasperd.lib
  3. libjpegd.lib
  4. libpngd.lib
  5. libtiffd.lib
  6. zlibd.lib 
  7. opencv_calib3d2410d.lib
  8. opencv_contrib2410d.lib
  9. opencv_core2410d.lib
  10. opencv_features2d2410d.lib
  11. opencv_flann2410d.lib
  12. opencv_gpu2410d.lib
  13. opencv_highgui2410d.lib
  14. opencv_imgproc2410d.lib
  15. opencv_legacy2410d.lib
  16. opencv_ml2410d.lib
  17. opencv_nonfree2410d.lib
  18. opencv_objdetect2410d.lib
  19. opencv_ocl2410d.lib
  20. opencv_photo2410d.lib
  21. opencv_stitching2410d.lib
  22. opencv_superres2410d.lib
  23. opencv_ts2410d.lib
  24. opencv_video2410d.lib
  25. opencv_videostab2410d.lib
第二种方式,在头文件之后添加lib库(此方式有错误,建议使用第一种!)

  1. #include "stdio.h"
  2. #include "stdafx.h"
  3. #include <cv.h>
  4. #include <opencv2/core/core.hpp>
  5. #include <opencv2/highgui/highgui.hpp>
  6. #pragma comment(lib,"vfw32.lib")
  7. #pragma comment(lib,"comctl32.lib")
  8. #pragma comment(lib, "opencv_calib3d2410d.lib")
  9. #pragma comment(lib, "opencv_highgui2410d.lib")
  10. #pragma comment(lib, "opencv_contrib2410d.lib")
  11. #pragma comment(lib, "opencv_features2d2410d.lib")
  12. #pragma comment(lib, "opencv_core2410d.lib")
  13. #pragma comment(lib, "opencv_flann2410d.lib")
  14. #pragma comment(lib, "opencv_highgui2410d.lib")
  15. #pragma comment(lib, "opencv_imgproc2410d.lib")
  16. #pragma comment(lib, "IlmImfd.lib")
  17. #pragma comment(lib, "libjasperd.lib")
  18. #pragma comment(lib, "libjpegd.lib")
  19. #pragma comment(lib, "libpngd.lib")
  20. #pragma comment(lib, "zlibd.lib")
  21. #pragma comment(lib, "libtiffd.lib")

对于release版本的,添加去掉d的lib文件。

4、设置运行库【C/C++】–【代码生成】–【运行库】–“多线程调试/MTD”(具体每种的含义,参考链接2)。

然后编译生成,就可以运行了。下面是个例子:

  1. #include "stdafx.h"
  2. #include <cv.h>
  3. #include <opencv2/core/core.hpp>
  4. #include <opencv2/highgui/highgui.hpp>
  5. #pragma comment(lib,"vfw32.lib")
  6. #pragma comment(lib,"comctl32.lib")
  7. //#pragma comment(lib, "opencv_calib3d2410d.lib")
  8. //#pragma comment(lib, "opencv_highgui2410d.lib")
  9. //#pragma comment(lib, "opencv_contrib2410d.lib")
  10. //#pragma comment(lib, "opencv_features2d2410d.lib")
  11. //#pragma comment(lib, "opencv_core2410d.lib")
  12. //#pragma comment(lib, "opencv_flann2410d.lib")
  13. //#pragma comment(lib, "opencv_highgui2410d.lib")
  14. //#pragma comment(lib, "opencv_imgproc2410d.lib")
  15. //#pragma comment(lib, "IlmImfd.lib")
  16. //#pragma comment(lib, "libjasperd.lib")
  17. //#pragma comment(lib, "libjpegd.lib")
  18. //#pragma comment(lib, "libpngd.lib")
  19. //#pragma comment(lib, "zlibd.lib")
  20. //#pragma comment(lib, "libtiffd.lib")
  21. using namespace cv;
  22. int _tmain( int argc, _TCHAR* argv[])
  23. {
  24. Mat img=imread( "Lena.png") ;
  25. namedWindow( "src",CV_WINDOW_AUTOSIZE);
  26. imshow( "src",img);
  27. waitKey( 0);
  28. return 0;
  29. }

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转载自blog.csdn.net/maweifei/article/details/80922887