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makeup.yaml
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makeup.yaml
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epochs: 100
output_dir: tmp
checkpoints_dir: checkpoints
model:
name: MakeupModel
generator:
name: GeneratorPSGANAttention
conv_dim: 64
repeat_num: 6
discriminator:
name: NLayerDiscriminator
ndf: 64
n_layers: 3
input_nc: 3
norm_type: spectral
cycle_criterion:
name: L1Loss
idt_criterion:
name: L1Loss
loss_weight: 0.5
l1_criterion:
name: L1Loss
l2_criterion:
name: MSELoss
gan_criterion:
name: GANLoss
gan_mode: lsgan
dataset:
train:
name: MakeupDataset
trans_size: 256
dataroot: data/MT-Dataset
cls_list: [non-makeup, makeup]
phase: train
test:
name: MakeupDataset
trans_size: 256
dataroot: data/MT-Dataset
cls_list: [non-makeup, makeup]
phase: test
lr_scheduler:
name: LinearDecay
learning_rate: 0.0002
start_epoch: 100
decay_epochs: 100
# will get from real dataset
iters_per_epoch: 1
optimizer:
optimizer_G:
name: Adam
net_names:
- netG
beta1: 0.5
optimizer_DA:
name: Adam
net_names:
- netD_A
beta1: 0.5
optimizer_DB:
name: Adam
net_names:
- netD_B
beta1: 0.5
log_config:
interval: 10
visiual_interval: 500
snapshot_config:
interval: 5