Hi, everyone.
I have problem with making two different training dataset having each different training condition.
In my input dataset structure likes below,
/data


folder1 /
m6dB/ img0, 1, 2 …
m3dB/ img0, 1, 2 …
0dB/ img0, 1, 2 …
3dB/ img0, 1, 2 …
6dB/ img0, 1, 2 …
9dB/ img0, 1, 2 …


folder2 /
spk1/ img…
spk2/ img…
spk3/ img…
spk4/ img…
…


In this case, i want to fix all the folder 1’s imgs (ex. img0.png, img1.png …) target to 9dB/img
(ex, criterion(m6dB/img0.png , 9dB/img0.png))
and imgs of folder 2 shold be random selected by the number of images of folder 1, on every epoch.
how can i get these things?