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- architecture: TTFNet
- 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
- TTFNet:
- backbone: ResNet
- neck: TTFFPN
- ttf_head: TTFHead
- post_process: BBoxPostProcess
- ResNet:
- depth: 50
- variant: d
- return_idx: [0, 1, 2, 3]
- freeze_at: -1
- norm_decay: 0.
- variant: d
- dcn_v2_stages: [1, 2, 3]
- TTFFPN:
- planes: [256, 128, 64]
- shortcut_num: [3, 2, 1]
- TTFHead:
- dcn_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
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