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gan-metrics's Issues

Out of memory when "--sampleSize 10000"

The TF version of GAN metrics, e.g. IS, FID, are using 10000 samples, while sampleSize==2000 in the demo.
The setting of "sampleSize==10000" may cause out of memory problem, as dozens of GB mem is requested by "metrics.py".
Could the code used to reproduce the "sampleSize==10000" experiments as TF version does?

Thanks for your great work.

What does the function "distance" really measure.

I'm wondring what is the real meaning of the function distance. at first I thought it was an Euclidean distance between two features spaces but when reading the code it is not . I also don't get it why Mxx != 0 ! the distance to itself should be always 0 otherwise its only a function name but not a real distance.

I hope somone could clarify this concept. I will be glad to have any documentation, paper or articles
Thnx

Incomplete Inception_v3 architecture..

I was going through your feature calculation for Inception_v3 in metrics.py and found out that you did not use the 'inception.Mixed_6e' block in the feature calculation. Can you comment on the reasons you chose to do that?

your paper's collation map

Hello, how did you get the fractional polyline diagram of pixel space and convolution space in your paper?How should I operate to get the same result as you?
How do you operate on changes in the number of false images contained in the overall dataset? I didn't find the relevant code?
Thank you very much for your help.

dataset

Is it suitable for all pictures? Tahnk you.

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