예제 #1
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from utils.config import BaseConfig

# Default configuration for StyleGAN
_C = BaseConfig()

############################################################

# Dimension of the latent vector
_C.dimLatentVector = 512

# Image dimension
_C.imageSize = 256
예제 #2
0
_C.miniBatchSize = 256  # 64

# Dimension of the latent vector
_C.dimLatentVector = 100

# Dimension of the output image
_C.dimOutput = 3

# Dimension of the generator
_C.dimG = 64

# Dimension of the discrimator
_C.dimD = 64

# Image dimension
_C.imageSize = 64

# Learning rate for optimizers
# _C.learningRate = 0.0002

# Base learning rate
_C.baseLearningRate = 0.0002

# Beta1 hyperparam for Adam optimizers
_C.beta1 = 0.5

# Loss mode
_C.lossMode = 'DCGAN'

# Gradient penalty coefficient (WGANGP)
_C.lambdaGP = 0.