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You could use K-Nearest Neighbours with a distance threshold since in effect it would be the same calculations as in this repository. You could also collect at least 5 face embeddings per person from 5 images and train a support vector machine classifier (example from the David Sandberg facenet repository) but that would require re-training every time a new person is added or removed from the system.
Can you provide an example please?
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