config.txt

# Parameters needed for training:

# parameter for training of new model 1/2/n
# 1 - first model
# 2 - second model
# n - without training
-t n

###############################################
# Parameters needed for augmenting:

# model which you want used for augmenting 1/2/n
# 1 - first model
# 2 - second model
# n - without generating
-m n
# file of target GAN for augmenting
-tg target_gan_mk_2.h5
# file of non target GAN for augmenting
-ng non_target_gan_mk_2.h5
# parameter to determine how much you want augment dataset
# it is set in percents
-p 150
# parameter which determines averaging window
-w 1

###############################################
# Optimal parameters
# saving training progress as images T(True)/F(False)
-e F
# save input signals as images T(True)/F(False)
-gi F
# save output signals as images T(True)/F(False)
-go T