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I have developed a little app that when detecting a face tries to find it in the database and if it's not there, it created a new record.
As I move my head the app thinks it's a new user (distance >= 0.99) and creates a new entry in the database.
Up to 18 records have been created.
I was thinking of developing a professional app for controlling access to places, etc.
How can I do to filter (or any other way) these extra records created with different head poses?
Thanks.
The text was updated successfully, but these errors were encountered:
No. ZhaoJ9014 told in other issue days ago that I didn't need to train it.
I have used this trained model: backbone_ir50_ms1m_epoch120.pth
Today a friend told me that in order for him to enter his face in his iphone for facial recognition he has to move his head a lot (the phone even tells him things like: move more to the left).
So I guess I need some algorithm to how this works so the same person is not being taken for a new person.
Hi.
I have developed a little app that when detecting a face tries to find it in the database and if it's not there, it created a new record.
As I move my head the app thinks it's a new user (distance >= 0.99) and creates a new entry in the database.
Up to 18 records have been created.
I was thinking of developing a professional app for controlling access to places, etc.
How can I do to filter (or any other way) these extra records created with different head poses?
Thanks.
The text was updated successfully, but these errors were encountered: