architecture: TOOD
pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_cos_pretrained.pdparams

TOOD:
  backbone: ResNet
  neck: FPN
  head: TOODHead

ResNet:
  depth: 50
  variant: b
  norm_type: bn
  freeze_at: 0
  return_idx: [1, 2, 3]
  num_stages: 4

FPN:
  out_channel: 256
  spatial_scales: [0.125, 0.0625, 0.03125]
  extra_stage: 2
  has_extra_convs: true
  use_c5: false

TOODHead:
  stacked_convs: 6
  grid_cell_scale: 8
  static_assigner_epoch: 4
  loss_weight: { class: 1.0, iou: 2.0 }
  static_assigner:
    name: ATSSAssigner
    topk: 9
  assigner:
    name: TaskAlignedAssigner
    topk: 13
    alpha: 1.0
    beta: 6.0
  nms:
    name: MultiClassNMS
    nms_top_k: 1000
    keep_top_k: 100
    score_threshold: 0.05
    nms_threshold: 0.6