face_reader.yml

worker_num: 2
TrainReader:
  inputs_def:
    num_max_boxes: 90
  sample_transforms:
    - Decode: {}
    - RandomDistort: {brightness: [0.5, 1.125, 0.875], random_apply: False}
    - RandomExpand: {fill_value: [123.675, 116.28, 103.53]}
    - RandomFlip: {}
    - CropWithDataAchorSampling: {
      anchor_sampler: [[1, 10, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.2, 0.0]],
      batch_sampler: [
        [1, 50, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0],
        [1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0],
        [1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0],
        [1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0],
        [1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0],
      ],
      target_size: 640}
    - Resize: {target_size: [640, 640], keep_ratio: False, interp: 1}
    - NormalizeBox: {}
    - PadBox: {num_max_boxes: 90}
  batch_transforms:
    - NormalizeImage: {mean:  [123, 117, 104], std: [127.502231, 127.502231, 127.502231], is_scale: false}
    - Permute: {}
  batch_size: 8
  shuffle: true
  drop_last: true


EvalReader:
  sample_transforms:
    - Decode: {}
    - NormalizeImage: {mean:  [123, 117, 104], std: [127.502231, 127.502231, 127.502231], is_scale: false}
    - Permute: {}
  batch_size: 1


TestReader:
  sample_transforms:
    - Decode: {}
    - NormalizeImage: {mean:  [123, 117, 104], std: [127.502231, 127.502231, 127.502231], is_scale: false}
    - Permute: {}
  batch_size: 1