architecture: CenterNet
pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_pretrained.pdparams
norm_type: sync_bn
use_ema: true
ema_decay: 0.9998

CenterNet:
  backbone: ResNet
  neck: CenterNetDLAFPN
  head: CenterNetHead
  post_process: CenterNetPostProcess

ResNet:
  depth: 50
  variant: d
  return_idx: [0, 1, 2, 3]
  freeze_at: -1
  norm_decay: 0.
  dcn_v2_stages: [3]


CenterNetDLAFPN:
  first_level: 0
  last_level: 4
  down_ratio: 4
  dcn_v2: False

CenterNetHead:
  head_planes: 256
  regress_ltrb: False

CenterNetPostProcess:
  max_per_img: 100
  regress_ltrb: False