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For the npz file generated after sampling, how to calculate the FID score of the npz file and the cifar10 data set used ? Cifar is a picture in PNG format, and the npz file is an array with only arr _…
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Thanks a lot for your awesome work!
I follow your setting to sample 50k imagenet64 images and calculate the FID results using `evaluations/evaluator.py`, but I got FID
![image](https://user-imag…
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Hi, that's a wonderful work and thanks for your open source code. I'm confused about the calculation of FID on **SMALL** scale datasets, such as Set5 and BSD100, as I know the samples of dataset need …
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Hello, your work is great, I would like to ask you about FID how did you calculate it? The medical image I get has a very high FID with 130
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For higher FA "execute_graph(graph, seq, obj, min_emitted_signal=1, min_latent_signal=1)" can give different result than really the FID graph
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Sorry to bother you, I am a college student, I am very interested in your work, your work is great. I would like to cite your paper《Evaluating the Clinical Realism of Synthetic Chest X‑Rays Generated …
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Thanks for providing the codes. I'd like to know how to calculate the fid between the colorization and ground truth.
In your paper, you state that generate 5000 colorizations and there is no overlap …
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Hi,
the paper mentioned lower FID score, but I can not find the calculation/network structure of FID. May I know which layer of I3D did you use for calculating FID?
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Thanks for sharing.
The calculation of fid is too slow. The calculation for linalg.sqrtm(sigma1.dot(sigma2), disp=False) takes several minutes.
How to speed it?