# Native Julia FID (Fréchet Inception Distance) Computation

**URL:** <https://discourse.julialang.org/t/native-julia-fid-frechet-inception-distance-computation/129798>\
**Category:** Machine Learning\
**Tags:** question, machinevision, machine-learning\
**Created:** [June 11, 2025, 10:00am UTC](https://discourse.julialang.org/t/native-julia-fid-frechet-inception-distance-computation/129798 "2025-06-11T10:00:18Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![josemanuel22](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/josemanuel22/32/20668_2.png) [@josemanuel22](https://discourse.julialang.org/u/josemanuel22)\
**Post date:** [June 11, 2025, 10:00am UTC](https://discourse.julialang.org/t/native-julia-fid-frechet-inception-distance-computation/129798/1 "2025-06-11T10:00:18Z")

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Is there a relatively simple way to calculate the FID (Fréchet Inception Distance) metric in Julia? Metalhead doesn’t include a pre-trained Inception-v3 model. I know you can try ONNX or PythonCall (though all of those have failed me for some reason). But is there a way to do it natively in Julia?