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Implementation of joint bayesian model, written in python.

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Joint-Bayesian

Implementation of Joint-Bayesian model for face verification, written in Python.

Usage

feature = preprocess(feature)
A, G = train(feature, labels)
ratio = verify(A, G, feat1, feat2)
# ratio is the log likelihood between two features.

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Reference

Lincece

MIT

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Implementation of joint bayesian model, written in python.

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