exp_name: FET-VFI_BiFrequencyLoss

mode: train

train_dataset:
  name: vimeo
  args:
    root_path: ../datasets/frames2_triplet
    flow_root: ../datasets/frames2_unimatch_flow
    tri_trainlist: tri_trainlist.txt
    split: train
    patch_size: 256
    flow: 't0'
  loader:
    batch_size: 16
    num_workers: 4

# test_dataset:
#   name: vimeo
#   args:
#     root_path: ../datasets/Vimeo90K
#     split: val
#   loader:
#     batch_size: 16
#     num_workers: 4
#   save_imgs: False

# demo_dataset:
#   name: demo
#   args:
#     root_path: ../data/animation
#     split: animation

model:
  name: upr_net_freq
  args:
    pyr_level: 3
    nr_lvl_skipped: 0
    splat_mode: average
    fftshift: False


optimizer:
  name: adamW
  args: {lr: 4.e-6, weight_decay: 1.e-4}

lr_scheduler:
  name: one_cycle_lr
  args:
    max_lr: 4.e-6
    pct_start: 0.01
    cycle_momentum: False
    anneal_strategy: cos

loss:
  - {
    name: frequency,
    args: { weight: 0.01 }
  }
  - {
    name: bi_frequency,
    args: { weight: 0.01 }
  }
  - {
    name: multiple_flow,
    args: { weight: 0.005 }
  }
  - {
    name: charbonnier,
    args: { weight: 1 }
  }
  - {
    name: ternary,
    args: { weight: 1 }
  }

pretrained: ./pretrained/upr_freq002.pth
max_epoch: 1000

validate_every: 10
save_every: 10
vis_every: 20

seed: 1234

dist_url: env://