我正在尝试安装OpenCV以使用Visual Studio。我使用的是2012Pro版本，但我认为它应该与vs10相同。我正在学习本教程：http://docs.opencv.org/doc/tutorials/introduction/windows_visual_studio_Opencv/windows_visual_studio_Opencv.html#windows-visual studio如何
我有一个只有一个项目和一个文件的解决方案。出于测试目的，我使用了与教程中相同的代码。
// Video Image PSNR and SSIM
#include <iostream> // for standard I/O
#include <string> // for strings
#include <iomanip> // for controlling float print precision
#include <sstream> // string to number conversion
#include <opencv2/imgproc/imgproc.hpp> // Gaussian Blur
#include <opencv2/core/core.hpp> // Basic OpenCV structures (cv::Mat, Scalar)
#include <opencv2/highgui/highgui.hpp> // OpenCV window I/O
using namespace std;
using namespace cv;
double getPSNR ( const Mat& I1, const Mat& I2);
Scalar getMSSIM( const Mat& I1, const Mat& I2);
static void help()
{
cout
<< "n--------------------------------------------------------------------------" << endl
<< "This program shows how to read a video file with OpenCV. In addition, it tests the"
<< " similarity of two input videos first with PSNR, and for the frames below a PSNR " << endl
<< "trigger value, also with MSSIM."<< endl
<< "Usage:" << endl
<< "./video-source referenceVideo useCaseTestVideo PSNR_Trigger_Value Wait_Between_Frames " << endl
<< "--------------------------------------------------------------------------" << endl
<< endl;
}
int main(int argc, char *argv[])
{
help();
if (argc != 5)
{
cout << "Not enough parameters" << endl;
return -1;
}
stringstream conv;
const string sourceReference = argv[1],sourceCompareWith = argv[2];
int psnrTriggerValue, delay;
conv << argv[3] << argv[4]; // put in the strings
conv >> psnrTriggerValue >> delay;// take out the numbers
char c;
int frameNum = -1; // Frame counter
VideoCapture captRefrnc(sourceReference),
captUndTst(sourceCompareWith);
if ( !captRefrnc.isOpened())
{
cout << "Could not open reference " << sourceReference << endl;
return -1;
}
if( !captUndTst.isOpened())
{
cout << "Could not open case test " << sourceCompareWith << endl;
return -1;
}
Size refS = Size((int) captRefrnc.get(CV_CAP_PROP_FRAME_WIDTH),
(int) captRefrnc.get(CV_CAP_PROP_FRAME_HEIGHT)),
uTSi = Size((int) captUndTst.get(CV_CAP_PROP_FRAME_WIDTH),
(int) captUndTst.get(CV_CAP_PROP_FRAME_HEIGHT));
if (refS != uTSi)
{
cout << "Inputs have different size!!! Closing." << endl;
return -1;
}
const char* WIN_UT = "Under Test";
const char* WIN_RF = "Reference";
// Windows
namedWindow(WIN_RF, CV_WINDOW_AUTOSIZE );
namedWindow(WIN_UT, CV_WINDOW_AUTOSIZE );
cvMoveWindow(WIN_RF, 400 , 0); //750, 2 (bernat =0)
cvMoveWindow(WIN_UT, refS.width, 0); //1500, 2
cout << "Frame resolution: Width=" << refS.width << " Height=" << refS.height
<< " of nr#: " << captRefrnc.get(CV_CAP_PROP_FRAME_COUNT) << endl;
cout << "PSNR trigger value " <<
setiosflags(ios::fixed) << setprecision(3) << psnrTriggerValue << endl;
Mat frameReference, frameUnderTest;
double psnrV;
Scalar mssimV;
for(;;) //Show the image captured in the window and repeat
{
captRefrnc >> frameReference;
captUndTst >> frameUnderTest;
if( frameReference.empty() || frameUnderTest.empty())
{
cout << " < < < Game over! > > > ";
break;
}
++frameNum;
cout <<"Frame:" << frameNum;
///////////////////////////////// PSNR ////////////////////////////////////////////////////
psnrV = getPSNR(frameReference,frameUnderTest); //get PSNR
cout << setiosflags(ios::fixed) << setprecision(3) << psnrV << "dB";
//////////////////////////////////// MSSIM /////////////////////////////////////////////////
if (psnrV < psnrTriggerValue)
{
mssimV = getMSSIM(frameReference,frameUnderTest);
cout << " MSSIM: "
<< "R" << setiosflags(ios::fixed) << setprecision(3) << mssimV.val[2] * 100
<< "G" << setiosflags(ios::fixed) << setprecision(3) << mssimV.val[1] * 100
<< "B" << setiosflags(ios::fixed) << setprecision(3) << mssimV.val[0] * 100;
}
cout << endl;
////////////////////////////////// Show Image /////////////////////////////////////////////
imshow( WIN_RF, frameReference);
imshow( WIN_UT, frameUnderTest);
c = (char)cvWaitKey(delay);
if (c == 27) break;
}
return 0;
}
double getPSNR(const Mat& I1, const Mat& I2)
{
Mat s1;
absdiff(I1, I2, s1); // |I1 - I2|
s1.convertTo(s1, CV_32F); // cannot make a square on 8 bits
s1 = s1.mul(s1); // |I1 - I2|^2
Scalar s = sum(s1); // sum elements per channel
double sse = s.val[0] + s.val[1] + s.val[2]; // sum channels
if( sse <= 1e-10) // for small values return zero
return 0;
else
{
double mse =sse /(double)(I1.channels() * I1.total());
double psnr = 10.0*log10((255*255)/mse);
return psnr;
}
}
Scalar getMSSIM( const Mat& i1, const Mat& i2)
{
const double C1 = 6.5025, C2 = 58.5225;
/***************************** INITS **********************************/
int d = CV_32F;
Mat I1, I2;
i1.convertTo(I1, d); // cannot calculate on one byte large values
i2.convertTo(I2, d);
Mat I2_2 = I2.mul(I2); // I2^2
Mat I1_2 = I1.mul(I1); // I1^2
Mat I1_I2 = I1.mul(I2); // I1 * I2
/*************************** END INITS **********************************/
Mat mu1, mu2; // PRELIMINARY COMPUTING
GaussianBlur(I1, mu1, Size(11, 11), 1.5);
GaussianBlur(I2, mu2, Size(11, 11), 1.5);
Mat mu1_2 = mu1.mul(mu1);
Mat mu2_2 = mu2.mul(mu2);
Mat mu1_mu2 = mu1.mul(mu2);
Mat sigma1_2, sigma2_2, sigma12;
GaussianBlur(I1_2, sigma1_2, Size(11, 11), 1.5);
sigma1_2 -= mu1_2;
GaussianBlur(I2_2, sigma2_2, Size(11, 11), 1.5);
sigma2_2 -= mu2_2;
GaussianBlur(I1_I2, sigma12, Size(11, 11), 1.5);
sigma12 -= mu1_mu2;
///////////////////////////////// FORMULA ////////////////////////////////
Mat t1, t2, t3;
t1 = 2 * mu1_mu2 + C1;
t2 = 2 * sigma12 + C2;
t3 = t1.mul(t2); // t3 = ((2*mu1_mu2 + C1).*(2*sigma12 + C2))
t1 = mu1_2 + mu2_2 + C1;
t2 = sigma1_2 + sigma2_2 + C2;
t1 = t1.mul(t2); // t1 =((mu1_2 + mu2_2 + C1).*(sigma1_2 + sigma2_2 + C2))
Mat ssim_map;
divide(t3, t1, ssim_map); // ssim_map = t3./t1;
Scalar mssim = mean( ssim_map ); // mssim = average of ssim map
return mssim;
}
我已经下载了2.4.3版本，并将其提取到C:\BUILD\所以现在我有了C:\BUILD\opencv等等
在visual studio中的属性管理器中，我转到Microsoft.Cpp.Win.32.user表，并更改以下内容：（根据上面的教程和堆栈中的其他解决方案）
在C/C++->概述中，我添加了附加包含目录
C:BUILDopencvmodulescoreincludeopencv2core
C:BUILDopencvincludeopencv
C:BUILDopencvincludeopencv2
C:BUILDopencvbuildinclude
C:BUILDopencvbuildincludeopencv2
C:BUILDopencvbuildincludeopencv
在链接器->概述中，我添加了其他库目录
C:BUILDopencvbuildx86vc10lib
在链接器->输入->附加依赖项
opencv_core243.lib
opencv_imgproc243.lib
opencv_highgui243.lib
opencv_ml243.lib
opencv_video243.lib
opencv_features2d243.lib
opencv_calib3d243.lib
opencv_objdetect243.lib
opencv_contrib243.lib
opencv_legacy243.lib
opencv_flann243.lib
（是的，我知道调试的d。但两者都不起作用）
我试图建立解决方案，我得到以下错误：
1>Test.obj : error LNK2019: unresolved external symbol "void __cdecl cv::fastFree(void *)" (?fastFree@cv@@YAXPAX@Z) referenced in function "public: __thiscall cv::Mat::~Mat(void)" (??1Mat@cv@@QAE@XZ)
1>Test.obj : error LNK2019: unresolved external symbol "public: __thiscall cv::_InputArray::_InputArray(class cv::Mat const &)" (??0_InputArray@cv@@QAE@ABVMat@1@@Z) referenced in function "class cv::Mat & __cdecl cv::operator-=(class cv::Mat const &,class cv::Mat const &)" (??Zcv@@YAAAVMat@0@ABV10@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol "public: __thiscall cv::_OutputArray::_OutputArray(class cv::Mat &)" (??0_OutputArray@cv@@QAE@AAVMat@1@@Z) referenced in function "class cv::Mat & __cdecl cv::operator-=(class cv::Mat const &,class cv::Mat const &)" (??Zcv@@YAAAVMat@0@ABV10@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol "class cv::_OutputArray const & __cdecl cv::noArray(void)" (?noArray@cv@@YAABV_OutputArray@1@XZ) referenced in function "class cv::Mat & __cdecl cv::operator-=(class cv::Mat const &,class cv::Mat const &)" (??Zcv@@YAAAVMat@0@ABV10@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol "public: void __thiscall cv::Mat::convertTo(class cv::_OutputArray const &,int,double,double)const " (?convertTo@Mat@cv@@QBEXABV_OutputArray@2@HNN@Z) referenced in function "class cv::Scalar_<double> __cdecl getMSSIM(class cv::Mat const &,class cv::Mat const &)" (?getMSSIM@@YA?AV?$Scalar_@N@cv@@ABVMat@2@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol "public: class cv::MatExpr __thiscall cv::Mat::mul(class cv::_InputArray const &,double)const " (?mul@Mat@cv@@QBE?AVMatExpr@2@ABV_InputArray@2@N@Z) referenced in function "class cv::Scalar_<double> __cdecl getMSSIM(class cv::Mat const &,class cv::Mat const &)" (?getMSSIM@@YA?AV?$Scalar_@N@cv@@ABVMat@2@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol "public: void __thiscall cv::Mat::deallocate(void)" (?deallocate@Mat@cv@@QAEXXZ) referenced in function "public: void __thiscall cv::Mat::release(void)" (?release@Mat@cv@@QAEXXZ)
1>Test.obj : error LNK2019: unresolved external symbol "public: void __thiscall cv::Mat::copySize(class cv::Mat const &)" (?copySize@Mat@cv@@QAEXABV12@@Z) referenced in function "public: __thiscall cv::Mat::Mat(class cv::Mat const &)" (??0Mat@cv@@QAE@ABV01@@Z)
1>Test.obj : error LNK2019: unresolved external symbol "void __cdecl cv::subtract(class cv::_InputArray const &,class cv::_InputArray const &,class cv::_OutputArray const &,class cv::_InputArray const &,int)" (?subtract@cv@@YAXABV_InputArray@1@0ABV_OutputArray@1@0H@Z) referenced in function "class cv::Mat & __cdecl cv::operator-=(class cv::Mat const &,class cv::Mat const &)" (??Zcv@@YAAAVMat@0@ABV10@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol "void __cdecl cv::divide(class cv::_InputArray const &,class cv::_InputArray const &,class cv::_OutputArray const &,double,int)" (?divide@cv@@YAXABV_InputArray@1@0ABV_OutputArray@1@NH@Z) referenced in function "class cv::Scalar_<double> __cdecl getMSSIM(class cv::Mat const &,class cv::Mat const &)" (?getMSSIM@@YA?AV?$Scalar_@N@cv@@ABVMat@2@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol "class cv::Scalar_<double> __cdecl cv::sum(class cv::_InputArray const &)" (?sum@cv@@YA?AV?$Scalar_@N@1@ABV_InputArray@1@@Z) referenced in function "double __cdecl getPSNR(class cv::Mat const &,class cv::Mat const &)" (?getPSNR@@YANABVMat@cv@@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol "class cv::Scalar_<double> __cdecl cv::mean(class cv::_InputArray const &,class cv::_InputArray const &)" (?mean@cv@@YA?AV?$Scalar_@N@1@ABV_InputArray@1@0@Z) referenced in function "class cv::Scalar_<double> __cdecl getMSSIM(class cv::Mat const &,class cv::Mat const &)" (?getMSSIM@@YA?AV?$Scalar_@N@cv@@ABVMat@2@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol "void __cdecl cv::absdiff(class cv::_InputArray const &,class cv::_InputArray const &,class cv::_OutputArray const &)" (?absdiff@cv@@YAXABV_InputArray@1@0ABV_OutputArray@1@@Z) referenced in function "double __cdecl getPSNR(class cv::Mat const &,class cv::Mat const &)" (?getPSNR@@YANABVMat@cv@@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol "int __cdecl cv::_interlockedExchangeAdd(int *,int)" (?_interlockedExchangeAdd@cv@@YAHPAHH@Z) referenced in function "public: __thiscall cv::Mat::Mat(class cv::Mat const &)" (??0Mat@cv@@QAE@ABV01@@Z)
1>Test.obj : error LNK2019: unresolved external symbol "class cv::MatExpr __cdecl cv::operator+(class cv::Mat const &,class cv::Mat const &)" (??Hcv@@YA?AVMatExpr@0@ABVMat@0@0@Z) referenced in function "class cv::Scalar_<double> __cdecl getMSSIM(class cv::Mat const &,class cv::Mat const &)" (?getMSSIM@@YA?AV?$Scalar_@N@cv@@ABVMat@2@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol "class cv::MatExpr __cdecl cv::operator+(class cv::MatExpr const &,class cv::Scalar_<double> const &)" (??Hcv@@YA?AVMatExpr@0@ABV10@ABV?$Scalar_@N@0@@Z) referenced in function "class cv::Scalar_<double> __cdecl getMSSIM(class cv::Mat const &,class cv::Mat const &)" (?getMSSIM@@YA?AV?$Scalar_@N@cv@@ABVMat@2@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol "class cv::MatExpr __cdecl cv::operator*(double,class cv::Mat const &)" (??Dcv@@YA?AVMatExpr@0@NABVMat@0@@Z) referenced in function "class cv::Scalar_<double> __cdecl getMSSIM(class cv::Mat const &,class cv::Mat const &)" (?getMSSIM@@YA?AV?$Scalar_@N@cv@@ABVMat@2@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol "void __cdecl cv::GaussianBlur(class cv::_InputArray const &,class cv::_OutputArray const &,class cv::Size_<int>,double,double,int)" (?GaussianBlur@cv@@YAXABV_InputArray@1@ABV_OutputArray@1@V?$Size_@H@1@NNH@Z) referenced in function "class cv::Scalar_<double> __cdecl getMSSIM(class cv::Mat const &,class cv::Mat const &)" (?getMSSIM@@YA?AV?$Scalar_@N@cv@@ABVMat@2@0@Z)
1>Test.obj : error LNK2019: unresolved external symbol _cvMoveWindow referenced in function _main
1>Test.obj : error LNK2019: unresolved external symbol _cvWaitKey referenced in function _main
1>Test.obj : error LNK2019: unresolved external symbol "void __cdecl cv::namedWindow(class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> > const &,int)" (?namedWindow@cv@@YAXABV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@H@Z) referenced in function _main
1>Test.obj : error LNK2019: unresolved external symbol "void __cdecl cv::imshow(class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> > const &,class cv::_InputArray const &)" (?imshow@cv@@YAXABV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@ABV_InputArray@1@@Z) referenced in function _main
1>Test.obj : error LNK2019: unresolved external symbol "public: __thiscall cv::VideoCapture::VideoCapture(class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> > const &)" (??0VideoCapture@cv@@QAE@ABV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@@Z) referenced in function _main
1>Test.obj : error LNK2019: unresolved external symbol "public: virtual __thiscall cv::VideoCapture::~VideoCapture(void)" (??1VideoCapture@cv@@UAE@XZ) referenced in function _main
1>Test.obj : error LNK2019: unresolved external symbol "public: virtual bool __thiscall cv::VideoCapture::isOpened(void)const " (?isOpened@VideoCapture@cv@@UBE_NXZ) referenced in function _main
1>Test.obj : error LNK2019: unresolved external symbol "public: virtual double __thiscall cv::VideoCapture::get(int)" (?get@VideoCapture@cv@@UAENH@Z) referenced in function _main
我试图在这里查看类似的问题，但所有的解决方案都是将实际的库添加到Addicional依赖项中。我做过Wich。所以我不知道。。。
您是否已将OpenCv路径添加到环境详细信息中？这通常是大多数教程告诉你要做的第一步。
然而，如果这不起作用，这里是我一直用来帮助我设置它的链接。它使用的是VS 2012和OpenCV 2.4.3版本，所以它与您的问题非常相似。