experiments/release/vd_par_hm36_flip_test.yaml

common:
  label_proj:
    type: dense_labeling_projector
    kwargs: # kept one
      mask_times_cls: True
  backbone:
    kwargs:
      test_pos_mode: False
      mask_all_gt_tokens: True
  tester:
    type: TesterMAEDev
  use_ceph: True
  sync: True
  collate: dev
  model_entry_kwargs:
    test_flag: par_flip
    flip_channels: [[1, 4],
                     [2,5],
                     [3,6],
                     [7,10],
                     [8,11],
                     [9,12],
                     [14,16],
                     [15,17],
                     [21,23],
                     [22,24]]


tasks:
  0:
    name: ParTest
    loss_weight: 1.0  # *redundant*
    gres_ratio: 1  # int, > 0| world/sum*ratio, *redundant*
    dataset:
      type: Human3M6ParsingDataset
      kwargs:
        dataset: val
        is_train: False
        cfg:
          eval_crop_size: [ 480, 480 ]
          is_flip: False
          is_multi_scale: False

    sampler:
      batch_size: 16 # per card