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I'm working with OpenCV 2.4.9.1, Python 2.7.9 and using FaceRecognizer class for my real-time face recognition university project. Need to do some research about existing algorithms (Eigenface, Fisherface, LBPH) and plot some data. Normally each algorithm is checking in certain way similarity of faces from database to that real one and append label with lowest coefficient. Is there any way to get predictions of all faces in database to one face that is in front of the camera, so I could draw some affilation function for each person or some face-distance graph?? It would be quite helpful in my analysis part of work. I saw that people can do that probably in C++ or when using SVM but no examples how to do it in python with existing opencv algorithms.