Fid

Module: generative_models.core.evaluation.metrics.image.fid

Source: generative_models/core/evaluation/metrics/image/fid.py

Overview

Fréchet Inception Distance (FID) implementation using JAX and NNX.

FID is a metric that calculates the distance between feature vectors of real and generated images. It uses the Inception-v3 network to extract features and then computes the Fréchet distance between distributions.

Classes

FrechetInceptionDistance

class FrechetInceptionDistance

Functions

init

def __init__()

calculate_frechet_distance

def calculate_frechet_distance()

compute

def compute()

feature_extractor

def feature_extractor()

Module Statistics

• Classes: 1
• Functions: 4
• Imports: 6