Denoise-Compact/train_realesrgan_custom.yml at main · Loganavter/Denoise-Compact · GitHub

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name: RealESRGAN_x4plus_custom
model_type: RealESRGANModel
scale: 1
num_gpu: 1
manual_seed: 0

high_order_degradation: false

l1_gt_usm: true
percep_gt_usm: true
gan_gt_usm: true

augmentation:
  crop_size: 512
  use_flip: true
  flip_prob: 0.5
  use_rotation: false
  use_resize: false
  use_noise: false
  use_brightness_contrast: false
  use_color_jitter: false

datasets:
  train:
    name: FH
    type: PairedImageDataset
    dataroot_gt: dataset/ipsilon4
    dataroot_lq: dataset/image1
    filename_tmpl: '{}'
    io_backend:
      type: disk
    gt_size: 256
    use_hflip: True
    use_rot: True
    use_shuffle: True
    num_worker_per_gpu: 4
    batch_size_per_gpu: 4
    dataset_enlarge_ratio: 1
    prefetch_mode: cuda
    pin_memory: True


network_g:
  type: SRVGGNetCompact
  num_in_ch: 3
  num_out_ch: 3
  num_feat: 32
  num_conv: 16
  upscale: 1
  act_type: prelu

network_d:
  type: UNetDiscriminatorSN
  num_in_ch: 3
  num_feat: 64
  skip_connection: True

path:
  pretrain_network_g:
  param_key_g: params_ema
  strict_load_g: true
  resume_state: ~

train:
  ema_decay: 0.999
  optim_g:
    type: Adam
    lr: !!float 1e-4
    weight_decay: 0
    betas: [0.9, 0.99]
  optim_d:
    type: Adam
    lr: !!float 1e-4
    weight_decay: 0
    betas: [0.9, 0.99]

  scheduler:
    type: MultiStepLR
    milestones: [400000]
    gamma: 0.5

  total_iter: 160000
  warmup_iter: -1

  pixel_opt:
    type: L1Loss
    loss_weight: 1.0
    reduction: mean
  perceptual_opt:
    type: PerceptualLoss
    layer_weights:
      'conv1_2': 0.1
      'conv2_2': 0.1
      'conv3_4': 1
      'conv4_4': 1
      'conv5_4': 1
    vgg_type: vgg19
    use_input_norm: true
    perceptual_weight: !!float 1.0
    style_weight: 0
    range_norm: false
    criterion: l1
  gan_opt:
    type: GANLoss
    gan_type: vanilla
    real_label_val: 1.0
    fake_label_val: 0.0
    loss_weight: !!float 1e-1

  net_d_iters: 1
  net_d_init_iters: 0

logger:
  print_freq: 100
  save_checkpoint_freq: 1000
  use_tb_logger: true
  wandb:
    project: ~
    resume_id: ~

dist_params:
  backend: nccl
  port: 29500