Question about t2m_mean.py and t2m_std.npy

Open yw0208 opened this issue 1 year ago • 1 comments

Thanks for your great work! I noticed that you use different Mean and Std when training and evaluation. It seems that t2m_mean.py and t2m_std.npy are the mean and std of the output of MDM. I am confused that how did you get them? Do they have a significant impact on the final results? If I make improvements on MDM, does it mean that I need to obtain the t2m_mean.py and t2m_std.npy of my own model? Looking forward to your reply, thank you again.

Mar 31 '24 14:03 yw0208

Hi @yw0208 , thanks! Indeed the evaluators were trained with a slightly different normalization (See https://github.com/EricGuo5513/text-to-motion). I don't think it makes a dramatic difference in performance but please double check me.

May 07 '24 08:05 GuyTevet