data_cfg:
  dataset_name: CASIA-B*
  dataset_root: your_path
  data_in_use: [false, false, true, true]
  dataset_partition: ./datasets/CASIA-B/CASIA-B.json
  num_workers: 1
  remove_no_gallery: false
  test_dataset_name: CASIA-B

evaluator_cfg:
  enable_float16: true
  restore_ckpt_strict: true
  restore_hint: 25000
  save_name: Segmentation
  eval_func: evaluate_segmentation
  sampler:
    batch_size: 4
    sample_type: all_ordered
    type: InferenceSampler
    frames_all_limit: 720
  transform:
    - type: BaseRgbTransform
    - type: BaseSilTransform

loss_cfg:
  - loss_term_weight: 1.0
    type: BinaryCrossEntropyLoss
    log_prefix: bce

model_cfg:
  model: Segmentation
  backbone_cfg:
    type: U_Net
    in_channels: 3

optimizer_cfg:
  lr: 0.1
  momentum: 0.9
  solver: SGD
  weight_decay: 0.0005

scheduler_cfg:
  gamma: 0.1
  milestones: # Learning Rate Reduction at each milestones
    - 10000
    - 15000
    - 20000
  scheduler: MultiStepLR

trainer_cfg:
  enable_float16: true
  with_test: true
  log_iter: 100
  restore_ckpt_strict: true
  restore_hint: 0
  save_iter: 5000
  save_name: Segmentation
  total_iter: 25000
  sampler:
    batch_shuffle: true
    batch_size:
      - 8
      - 16
    frames_num_fixed: 15
    sample_type: fixed_unordered
    type: TripletSampler
  transform:
    - type: BaseRgbTransform
    - type: BaseSilTransform