Multi-view face landmark extraction in Python about clandmark HOT 3 CLOSED

Hi @yurinativo,

excellent question. Thanks a lot for asking it. I have totally overlooked this in the Python interface.

If you look at the C++ example you will see the answer to your question and also what is missing in the Python interface now.

The detector returns also a score (the higher the score, the better the fit of landmarks), the multi-view model is learned in such a way that this score can be used to determine the viewpoint. The viewpoint detection is done simply by taking the model which maximizes this score.

If you wanna a quick fix, simply change this line to the following one:

return landmarks, self.thisptr.getScore()

and add the following line here:

fl_double_t getScore()

and recompile the python interface. Your script will then need a minor modification of this line
Ps.append(flandmarks[j].detect_optimized(arr, bbox)) where you simply first call the detect_optimized function and store both landmarks and score of each viewpoint. Then by getting the argmax over the array containing scores you will have the id of the "correct" viewpoint.

I will apply this fix as well, it might just take some time (do not have access to the repo sources on this computer now).

Hope I described it clearly, if you have any questions, please do not hesitate to ask further ;-)

from clandmark.

Thanks Michal,

This solution worked perfectly!

from clandmark.

Hi @yurinativo,

no problem ;-)

from clandmark.