epochs: 200
isTrain: True
output_dir: output_dir
lambda_L1: 100

model:
  name: Pix2PixModel
  generator:
    name: UnetGenerator
    norm_type: batch
    input_nc: 3
    output_nc: 3
    num_downs: 8 #unet256
    ngf: 64
    use_dropout: False
  discriminator:
    name: NLayerDiscriminator
    ndf: 64
    n_layers: 3
    input_nc: 6
    norm_type: batch
  gan_mode: vanilla

dataset:
  train:
    name: PairedDataset
    dataroot: data/cityscapes
    num_workers: 0
    phase: train
    max_dataset_size: inf
    direction: BtoA
    input_nc: 3
    output_nc: 3
    serial_batches: False
    pool_size: 0
    transform:
      load_size: 286
      crop_size: 256
      preprocess: resize_and_crop
      no_flip: False
      normalize:
        mean:
          (127.5, 127.5, 127.5)
        std:
          (127.5, 127.5, 127.5)
  test:
    name: PairedDataset
    dataroot: data/cityscapes/
    phase: test
    max_dataset_size: inf
    direction: BtoA
    input_nc: 3
    output_nc: 3
    serial_batches: True
    pool_size: 50
    transform:
      load_size: 256
      crop_size: 256
      preprocess: resize_and_crop
      no_flip: True
      normalize:
        mean:
          (127.5, 127.5, 127.5)
        std:
          (127.5, 127.5, 127.5)

optimizer:
  name: Adam
  beta1: 0.5

lr_scheduler:
  name: linear
  learning_rate: 0.0002
  start_epoch: 100
  decay_epochs: 100

log_config:
  interval: 100
  visiual_interval: 500

snapshot_config:
  interval: 5