architecture: TTFNet
pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV3_large_x1_0_ssld_pretrained.pdparams
norm_type: sync_bn

TTFNet:
  backbone: MobileNetV3
  neck: TTFFPN
  ttf_head: TTFHead
  post_process: BBoxPostProcess

MobileNetV3:
  scale: 1.0
  model_name: large
  feature_maps: [5, 8, 14, 17]
  with_extra_blocks: true
  lr_mult_list: [0.25, 0.25, 0.5, 0.5, 0.75]
  conv_decay: 0.00001
  norm_decay: 0.0
  extra_block_filters: []

TTFFPN:
  planes: [96, 48, 24]
  shortcut_num: [2, 2, 1]
  lite_neck: true
  fusion_method: concat

TTFHead:
  hm_head_planes: 48
  wh_head_planes: 24
  lite_head: true
  hm_loss:
    name: CTFocalLoss
    loss_weight: 1.
  wh_loss:
    name: GIoULoss
    loss_weight: 5.
    reduction: sum

BBoxPostProcess:
  decode:
    name: TTFBox
    max_per_img: 100
    score_thresh: 0.01
    down_ratio: 4