James Betker c8ab89d243 Add model swapout ... Model swapout is a feature where, at specified intervals, a random D and G model will be swapped in place for the one being trained. After a short period of time, this model is swapped back out. This is intended to increase training diversity.		2020-05-13 16:53:38 -06:00
..
archs
__init__.py
base_model.py	Add model swapout	2020-05-13 16:53:38 -06:00
loss.py
lr_scheduler.py
networks.py
SR_model.py
SRGAN_model.py	Add model swapout	2020-05-13 16:53:38 -06:00
Video_base_model.py