Comments (2)
Hi @lavrenkov-sketch,
The problem is with logistic regression - the more classes you have, the lower numbers it return.
The possible solution is to normalize them. But there still be problem that depending on how many faces you have you will receive different numbers of similarity.
To fix this globally we decided to use another approach - instead of logistic regression we will calculate similarity using euclidean distance. Then similarity won't change when number of faces change. The accuracy will be the same or better. The time of recognition could decrease, but slightly(this operation took 32ms for 1000 faces on my laptop).
The work is still in progress, but I hope we will be able to release it during next month.
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@lavrenkov-sketch we just released our first version and we would like to receive some feedback.
We are interested in how you found us, what features you are interested in and at least in some information about the problem you are trying to solve
If you would like to help us in any way, please join the chat:
https://gitter.im/CompreFace/community
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- Subject Aliases
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