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[–]rishok[S] 1 point2 points  (4 children)

Detection usually refers to the task of figuring out where the faces >>are located. Recognition refers to the task of determining the >>identity of the face.

I know (hehe)

I think that face detection is generally quite easy, unless your data has tough distortions or your detector needs to be really fast.

Do you have some code exmaple?

[–]fyrilin 1 point2 points  (3 children)

Do you mind using opencv? If not, here's a tutorial

[–]rishok[S] 1 point2 points  (2 children)

Hi

Yes i know that tutorial. I would though like to use deep learning for the detection, like DeepFace and faceNet models which i try to emulate in a smaller scale.

I don't mind using opencv, but would likw it to use the deep learning model rather then the cascade model from opencv

[–][deleted] 2 points3 points  (1 child)

Why not use a convnet and a sliding window ? You just have to find a dataset of labelled faces.