Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
MIT License
6.17k
stars
1.04k
forks
source link
Why trainA and trainB only have 3400 pictures? #65
UGATIT is great!
But I have some questions.
1.Why do you only use 3400 pictures in trainA and trainB?
2.if I use more pictures to train, for example 30000 trainA pictures and 30000 trainB pictures, need I change the iteration and epoch?
3.More trainA pictures is better, or more trainB pictures is better, or more trainA and trainB pictures is better?
You are the best!
Thank you!
UGATIT is great! But I have some questions. 1.Why do you only use 3400 pictures in trainA and trainB? 2.if I use more pictures to train, for example 30000 trainA pictures and 30000 trainB pictures, need I change the iteration and epoch? 3.More trainA pictures is better, or more trainB pictures is better, or more trainA and trainB pictures is better? You are the best! Thank you!