firstorder_fashion.yaml

epochs: 150
output_dir: output_dir

model:
  name: FirstOrderModel
  common_params:
    num_kp: 10
    num_channels: 3
    estimate_jacobian: True
  generator:
    name: FirstOrderGenerator
    kp_detector_cfg:
      temperature: 0.1
      block_expansion: 32
      max_features: 1024
      scale_factor: 0.25
      num_blocks: 5
    generator_cfg:
      block_expansion: 64
      max_features: 512
      num_down_blocks: 2
      num_bottleneck_blocks: 6
      estimate_occlusion_map: True
      dense_motion_params:
        block_expansion: 64
        max_features: 1024
        num_blocks: 5
        scale_factor: 0.25
  discriminator:
    name: FirstOrderDiscriminator
    discriminator_cfg:
      scales: [1]
      block_expansion: 32
      max_features: 512
      num_blocks: 4
      sn: True
  train_params:
    scales: [1, 0.5, 0.25, 0.125]
    transform_params:
      sigma_affine: 0.05
      sigma_tps: 0.005
      points_tps: 5
    loss_weights:
      generator_gan: 1
      discriminator_gan: 1
      feature_matching: [10, 10, 10, 10]
      perceptual: [10, 10, 10, 10, 10]
      equivariance_value: 10
      equivariance_jacobian: 10

optimizer:
  name: Adam

lr_scheduler:
  epoch_milestones: [187500, 281250]
  lr_generator: 2.0e-4
  lr_discriminator: 2.0e-4
  lr_kp_detector: 2.0e-4

dataset:
  train:
    name: FirstOrderDataset
    phase: train
    dataroot: data/first_order/fashion/
    num_repeats: 50
    time_flip: True
    batch_size: 8
    id_sampling: False
    frame_shape: [ 256, 256, 3 ]
    process_time: False
    create_frames_folder: False
    num_workers: 4
    max_dataset_size: inf
    direction: BtoA
    input_nc: 3
    output_nc: 3
    transforms:
        - name: PairedRandomHorizontalFlip
          prob: 0.5
          keys: [image, image]
        - name: PairedColorJitter
          brightness: 0.1
          contrast: 0.1
          saturation: 0.1
          hue: 0.1
          keys: [image, image]
  test:
    name: FirstOrderDataset
    dataroot: data/first_order/fashion/
    phase: test
    batch_size: 1
    num_workers: 1
    time_flip: False
    id_sampling: False
    create_frames_folder: False
    frame_shape: [ 256, 256, 3 ]

log_config:
  interval: 10
  visiual_interval: 10

snapshot_config:
  interval: 10

validate:
  interval: 31250