Question

我正在寻求帮助。由于EM类，我无法构建我的项目。我使用opencv 2.4.2

我无法找到问题所在。有人可以建议吗？

cv::TermCriteria Termination;
Termination.type=CV_TERMCRIT_ITER;
Termination.maxCount=num_numIter;
cv::EM model=cv::EM(NClusters,cv::EM::COV_MAT_SPHERICAL,Termination);
model.train(groupped_one_person_features);

在最后一行获取LINK ERR，我不知道如何创建类EM的对象。 NClusters是int，还有什么可能是错的？

我使用过：#include "opencv2/ml/ml.hpp"

此代码会导致以下错误：

2错误LNK2019：未解析的外部符号“public：virtual bool __cdecl cv :: EM :: train（class cv :: _ InputArray const＆amp;，class cv :: _ OutputArray const＆amp;，class cv :: _ OutputArray const＆amp;，class cv :: _ OutputArray const＆amp;）“ （？列车@ EM @ @@ CV @ UEAA_NAEBV_InputArray 2 @ AEBV_OutputArray @ 2 @ 11 @ Z）在函数“void __cdecl compute_LBPH_patterns_EM（struct ArrayData *，struct Pattern *，int，int）“ （？compute_LBPH_patterns_EM @@ YAXPEAUArrayData @@ PEAUPattern @@ HH @ Z）D：\ Work \ EBIS2012CPlusPlus \ Imet_v1.0_x64 \ Imet_v1.0_x64 \ compute_patterns.obj AND错误1错误LNK2019：未解析的外部符号“public：虚拟__cdecl cv :: EM :: ~EM（void）“（?? 1EM @ cv @@ UEAA @ XZ）在 function“void __cdecl compute_LBPH_patterns_EM（struct ArrayData *，struct Pattern *，int，int）“（？compute_LBPH_patterns_EM @@ YAXPEAUArrayData @@ PEAUPattern @@ HH @ Z）D：\ Work \ EBIS2012CPlusPlus \ Imet_v1.0_x64 \ Imet_v1.0_x64 \ compute_patterns.obj AND错误3错误LNK2019：未解析的外部符号“public： __cdecl cv :: EM :: EM（int，int，class cv :: TermCriteria const＆amp;）“（?? 0EM @ cv @@ QEAA @ HHAEBVTermCriteria @ 1 @@ Z）在函数中引用”void __cdecl compute_LBPH_patterns_EM（struct ArrayData *，struct Pattern *，int，int）“（？compute_LBPH_patterns_EM @@ YAXPEAUArrayData @@ PEAUPattern @@ HH @ Z）D：\ Work \ EBIS2012CPlusPlus \ Imet_v1.0_x64 \ Imet_v1.0_x64 \ compute_patterns.obj < / p>

非常感谢

Answer 1

尝试使用这个 -

using namespace cv;
EM em_model;
const TermCriteria term_crit = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 
                                                           100, FLT_EPSILON);
em_model = EM(clustercount, EM::COV_MAT_DIAGONAL, term_crit);
em_model.train(samples, loghood, labels, probs);

Answer 2

你去吧

#include <opencv2\opencv.hpp>

using namespace cv;             //use the opencv namespace

EM em_model;                    //EM model

int main()
{
    //get samples
    Mat samples;

    //define and crate ternmination critaria
    int type     = TermCriteria::COUNT + TermCriteria::EPS;     
    int maxCount = EM::DEFAULT_MAX_ITERS;
    TermCriteria termCritaria = TermCriteria(type, maxCount, FLT_EPSILON);

    //define EM parameters and instantiate model
    int nclusters      =  EM::DEFAULT_NCLUSTERS;
    int covMatrix_type =  EM::COV_MAT_DEFAULT;
    em_model = EM(nclusters, covMatrix_type, termCritaria);

    //train EM model
    em_model.train(samples);


    return 0;
}

在opencv 2.4.2中使用EM

2 个答案: