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singan_animation.yaml
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singan_animation.yaml
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total_iters: 100000
output_dir: output_dir
export_model: null
model:
name: SinGANModel
generator:
name: SinGANGenerator
nfc_init: 32
min_nfc_init: 32
noise_zero_pad: False
discriminator:
name: SinGANDiscriminator
nfc_init: 32
min_nfc_init: 32
gan_criterion:
name: GANLoss
gan_mode: wgangp
loss_weight: 1.0
recon_criterion:
name: MSELoss
loss_weight: 10.0
gp_criterion:
name: GradientPenalty
loss_weight: 0.1
train_image: data/singan/stone.png
scale_factor: 0.75
min_size: 25
is_finetune: False
dataset:
train:
name: EmptyDataset
test:
name: SingleDataset
dataroot: data/singan
num_workers: 0
batch_size: 1
preprocess:
- name: LoadImageFromFile
key: A
- name: Transforms
input_keys: [A]
pipeline:
- name: Transpose
- name: Normalize
mean: [127.5, 127.5, 127.5]
std: [127.5, 127.5, 127.5]
lr_scheduler:
name: MultiStepDecay
learning_rate: 0.0005
milestones: [9600]
gamma: 0.1
optimizer:
optimizer_G:
name: Adam
beta1: 0.5
beta2: 0.999
optimizer_D:
name: Adam
beta1: 0.5
beta2: 0.999
log_config:
interval: 100
visiual_interval: 2000
snapshot_config:
interval: 10000
validate:
interval: -1
save_img: True
metrics:
fid: # metric name, can be arbitrary
name: FID
batch_size: 1