Face Preparation for Model Prediction

Hi,

How can I read/align/prepare face for making predict on trained model? I made code like this:

    model = create_deepface()
    model.load_weights('VGGFace2_DeepFace_weights_val-0.9034.h5')
    img = load_img(path)
    img = img.resize((152,152))
    img_array = img_to_array(img)
    img_array = img_array.reshape((-1, 152, 152, 3))
    res = model.predict(img_array)

I get different results for every face belonging to the same person.

Thanks a lot for a help

[FunkyKoki]

Thank you so much for your sharing. Indeed, I have 2 questions about the 3D-to-2D process. First, what are the 8 unknows in the affine camera P mean? Location, gesture and lens? Second, the author added the residual r into the 3d coordinates, but this operation can be done only if the coordinates systems are aligned, how could that be done?

I would check the resources you shared and try to re-implement the whole process. By the way, actually, in the modern network, the strong 3D alignment seems not to be a necessity. I am interested in the 3D alignment only because that I am working in the 3D reconstruction of face.

I would let you know when I solve the two questions above.

Thanks again.

[FunkyKoki]

Hello, thanks for your work first. I am reading DeepFace, and I am quite confused about the 3D alignment step. To be specific, I cannot tell what is the affine 3D-to-2D camera P (what are the 8 unknowns mean?). Please help me. Thank you a lot.