We have a collection of output for this model including face recognition related embedding vector(length of 512), liveness related embedding vector(length of 32), and probability of detecting eye closeness, (sun)glasses, mask. Users can check specific result given the key values in the json file.

[DLExpert]

          We have a collection of output for this model including face recognition related embedding vector(length of 512), liveness related embedding vector(length of 32), and probability of detecting eye closeness, (sun)glasses, mask. Users can check specific result given the key values in the json file.

Originally posted by @mestrona-3 in #137 (comment)

Model outputs liveness related embedding vector(length of 32)

how do we get final value liveness related embedding vector(length of 32)

[mestrona-3]

Hi @DLExpert, thanks for the question! I've consulted the engineer that worked on this model and posted a response in #137. Please refer to that response and let us know if you have further questions.