torch-gqn
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Clarification on train.py
Hi I just wanted to know what lines 68-70 of train.py mean?
Pixel standard-deviation
sigma_i, sigma_f = 2.0, 0.7 sigma = sigma_i
The images have 3 channels (R,G,B) so it is probably not the standard deviation. per channel. Which pixel standard deviation is it representing?
Thanks!