cvcircle_cv::line_cv::mat(17)

cout<<"train"<<endl;

model->train(images,labels);

inti,acc=0,predict_l;

for(i=0;i<testimages.size();i++)

{

predict_l=model->predict(testimages[i]);

if(predict_l!=testlabels[i])

{

cout<<"Anerrorinrecognition:sample"<<i+1<<",predict"<<

predict_l<<",groundtruth"<<testlabels[i]<<endl;

imshow("error1",testimages[i]);

waitKey();

}

else

acc++;

}

cout<<"RecognitionRate:"<<acc*1.0/testimages.size()<<endl;

returnmodel;

}

Recognization()输出分错的样本和正确率，最后返回建模结果Ptr<FaceRecognizer> model

主函数改为：

intmain()

{

CvCapture*capture=0;

Matframe,frameCopy,image;

stringinputName;

intmode;

chardir[256]="D:\\Courses\\CV\\Face_recognition\\pic\\";

//preprocess_trainingdata(dir,K);//face_detectionandextracttofile

vector<Mat>images,testimages;

vector<int>labels,testlabels;

//togray,normalizeandresize;loadtoimages,labels,testimages,testlabels

resizeandtogray(dir,K,images,labels,testimages,testlabels);

//recognition

Ptr<FaceRecognizer>model=Recognition(images,labels,testimages,testlabels);

char*dirmodel=newchar[256];

strcpy(dirmodel,dir);strcat(dirmodel,"model.out");

FILE*f=fopen(dirmodel,"w");

fwrite(model,sizeof(model),1,f);

system("pause");

return0;

}

最终结果：一个错分样本，正确率93.3%

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