default.yaml

data_cfg:
  dataset_name: CASIA-B
  dataset_root: your_path
  num_workers: 1
  dataset_partition: ./datasets/CASIA-B/CASIA-B.json
  remove_no_gallery: false
  cache: false
  test_dataset_name: CASIA-B

evaluator_cfg:
  enable_float16: false
  restore_ckpt_strict: true
  restore_hint: 80000
  save_name: tmp
  eval_func: evaluate_indoor_dataset
  sampler:
    batch_size: 4
    sample_type: all_ordered
    type: InferenceSampler
  transform:
      - type: BaseSilCuttingTransform
  metric: euc # cos
  cross_view_gallery: false

loss_cfg:
  loss_term_weight: 1.0
  margin: 0.2
  type: TripletLoss
  log_prefix: triplet

model_cfg:
  model: Baseline

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

scheduler_cfg:
  gamma: 0.1
  milestones:
    - 20000
    - 40000
    - 60000
  scheduler: MultiStepLR

trainer_cfg:
  find_unused_parameters: false
  enable_float16: true
  with_test: false
  fix_BN: false
  log_iter: 100
  restore_ckpt_strict: true
  optimizer_reset: false
  scheduler_reset: false
  restore_hint: 0
  save_iter: 2000
  save_name: tmp
  sync_BN: false
  total_iter: 80000
  sampler:
    batch_shuffle: false
    batch_size:
      - 8
      - 16
    frames_num_fixed: 30
    frames_num_max: 50
    frames_num_min: 25
    sample_type: fixed_unordered
    type: TripletSampler
  transform:
      - type: BaseSilCuttingTransform