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Fréchet Inception Distance

Tensorflow implementation of the "Fréchet Inception Distance" (FID) between two image distributions, along with a numpy interface. The FID can be used to evaluate generative models by calculating the FID between real and fake data distributions (lower is better).

Major Dependencies

Features

Usage

Examples

GPU: Example In Colab

TPU and TF1: Example In Colab

TPU and TF2: Example In Colab

Links