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facerecognition's Issues

Error when train method is called

Hello, I am working on a project which consists of the deployment of security devices such as a barrier and an electromagnetic lock to control the access of a facility.

I am looking developing an application and I'm having a problem with your Trainer class. I am able to add some training data, PGM files I generate using the Open Cv library.
However, I have a problem. I have errors when I train the Trainer class.
I have the following errors :

  • the expected dimensions could not be achieved! (using PCA and LPP);
  • using LDA I am able to train but recognize method returns null.

I am confused because I generate 8-bit grey levels PGM files with a size of 92x112.
Please help me figure out the problem I have.
Thank you !

LDA Assertion

Hi, I am trying to use this library for my end-of-degree project at the university of Salamanca (Spain). I need to perform LDA over a set of image where I have only one picture per individual, so the second assertion on the LDA constructor fails:

image

My question is, Is this assertion truly needed for the algorithm or just a sort of advice to get good results? I mean, if I remove this assertion will the algorithm work properly?

Thanks in advance.
Daniel López

How can i recognize A strange face ?

If I give a strange face (not in Training data ) , this app return an error name .
How can I separate this face is not in the data sample , or similarity degree

[q] Can this project be used for face detection only?

I was struggling with using OpenCV's face detection lib through Java - it seemed to miss a lot of faces in a video. Can this project be used to do face detection and get a reasonable bounding box, or feature location? I saw the main class was doing face recognition, but I wasn't sure how stand-alone the detection aspects could be. Thanks!

Great project!

Great project. Can I train it to recognize characters in shooting game? I want to help players to aim and shoot automatically.

Face verification

Hello,

This project do face verification(1:1) or face identification (1:N)?

Thanks.

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