这两天测试OpenCV显示到MFC的Picture控件上，终于测试成功了，但是换到release模式下就会imread失败。发现问题是导入的lib问题。
因为VS如果通过Property Manager永久修改环境配置（即OpenCV头文件路径、库文件路径、库文件列表），debug模式的配置也会被release模式继承，对于路径来说没什么问题，对于库文件列表（即Property Manage -- Linker --Input）就有问题了。对OpenCV而言，xxxd.lib是给debug模式用的，xxx.lib是给release模式用的，如果要切换debug和release模式那每次都要重新配置一遍input。于是我把xxxd.lib和xxxd.lib都加入Input列表了，但是问题是，两者并存时，编译器会选择前面一个，也就是还是要debug模式下把xxxd.lib放在前面，xxx.lib放在后面，release模式下反之。
每次配置太麻烦了，于是我选择在预编译头文件stdafx.h中用宏定义来区分包含哪些库文件，因为windows下的debug模式是定义宏_DEBUG来设置的，所以一个#ifdef语句就OK了，下面给出自动生成这些代码的程序代码
#include "stdafx.h"
#include <iostream>
#include <string>
#include <vector>
#include <io.h>
using namespace std;
string dir_name = R"(D:Program Filesopencvuildx86vc14lib)";
string output_path = R"(C:output.txt)";
int main()
{
_finddata_t fd;
intptr_t handle;
vector<string> lib_debug;
vector<string> lib_release;
if ((handle = _findfirst((dir_name + "\*.lib").c_str(), &fd)) != -1) {
while (_findnext(handle, &fd) != -1)
{
int len = strlen(fd.name);
if (fd.name[len - 5] == 'd')
{
lib_debug.emplace_back(fd.name);
}
else
{
lib_release.emplace_back(fd.name);
}
}
}
_findclose(handle);
FILE* fp = fopen(output_path.c_str(), "w+");
fprintf(fp, "#ifdef _DEBUG
");
for (const auto& libname : lib_debug)
{
fprintf(fp, " #pragma comment(lib, "%s")
", libname.c_str());
}
fprintf(fp, "#else
");
for (const auto& libname : lib_release)
{
fprintf(fp, " #pragma comment(lib, "%s")
", libname.c_str());
}
fprintf(fp, "#endif
");
fclose(fp);
printf("successed!
");
return 0;
}
dir_name根据安装OpenCV的路径而定，最终生成的结果output.txt如下（我这里是OpenCV 2.4.13）
#ifdef _DEBUG #pragma comment(lib, "opencv_calib3d2413d.lib") #pragma comment(lib, "opencv_contrib2413d.lib") #pragma comment(lib, "opencv_core2413d.lib") #pragma comment(lib, "opencv_features2d2413d.lib") #pragma comment(lib, "opencv_flann2413d.lib") #pragma comment(lib, "opencv_gpu2413d.lib") #pragma comment(lib, "opencv_highgui2413d.lib") #pragma comment(lib, "opencv_imgproc2413d.lib") #pragma comment(lib, "opencv_legacy2413d.lib") #pragma comment(lib, "opencv_ml2413d.lib") #pragma comment(lib, "opencv_nonfree2413d.lib") #pragma comment(lib, "opencv_objdetect2413d.lib") #pragma comment(lib, "opencv_ocl2413d.lib") #pragma comment(lib, "opencv_photo2413d.lib") #pragma comment(lib, "opencv_stitching2413d.lib") #pragma comment(lib, "opencv_superres2413d.lib") #pragma comment(lib, "opencv_ts2413d.lib") #pragma comment(lib, "opencv_video2413d.lib") #pragma comment(lib, "opencv_videostab2413d.lib") #else #pragma comment(lib, "opencv_contrib2413.lib") #pragma comment(lib, "opencv_core2413.lib") #pragma comment(lib, "opencv_features2d2413.lib") #pragma comment(lib, "opencv_flann2413.lib") #pragma comment(lib, "opencv_gpu2413.lib") #pragma comment(lib, "opencv_highgui2413.lib") #pragma comment(lib, "opencv_imgproc2413.lib") #pragma comment(lib, "opencv_legacy2413.lib") #pragma comment(lib, "opencv_ml2413.lib") #pragma comment(lib, "opencv_nonfree2413.lib") #pragma comment(lib, "opencv_objdetect2413.lib") #pragma comment(lib, "opencv_ocl2413.lib") #pragma comment(lib, "opencv_photo2413.lib") #pragma comment(lib, "opencv_stitching2413.lib") #pragma comment(lib, "opencv_superres2413.lib") #pragma comment(lib, "opencv_ts2413.lib") #pragma comment(lib, "opencv_video2413.lib") #pragma comment(lib, "opencv_videostab2413.lib") #endif
复制到新工程的stdafx.h最下面就行，这样的话就不需要配置input了，但是缺点是每次都要把代码复制进来，不过复制粘贴的操作也不会花费多少时间