if you have stored your images in a folder per person, like:
+- persons
+- john
+- img1.png
+- img2.png
+- mary
+- z42341.png
+- dsc10.png
you can try similar to this:
int train(Ptr<face::FaceRecognizer> classifier, const String &imgdir, const Size &siz)
{
string last_n("");
int label(-1);
Mat images;
Mat labels;
vector<String> vec;
glob(imgdir,vec,true);
if ( vec.empty())
return 0;
for (size_t i=0; i<vec.size(); i++)
{
// extract name from filepath:
String v = vec[i];
int r1 = v.find_last_of(SEP);
String v2 = v.substr(0,r1);
int r2 = v2.find_last_of(SEP);
String n = v2.substr(r2+1);
if (n!=last_n)
{
last_n=n;
label++;
}
persons[label] = n;
// process img & add to trainset:
Mat img=imread(vec[i],0);
if (img.empty())
{
cerr << "bad image " << vec[i] << endl;
continue;
}
resize(img,img,siz);
images.push_back(img);
labels.push_back(label);
}
return classifier->train(images, labels);
}
////
Ptr<face::FaceRecognizer> facerec = face::createLBPHFaceRecognizer();
train(facerec, "persons", Size(100,100));
please also have a look at http://docs.opencv.org/ref/master/tut...