car-line-detect/configs/ttfnet/_base_/ttfnet_darknet53.yml
2021-06-23 08:58:10 +08:00

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YAML

architecture: TTFNet
pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/DarkNet53_pretrained.pdparams
TTFNet:
backbone: DarkNet
neck: TTFFPN
ttf_head: TTFHead
post_process: BBoxPostProcess
DarkNet:
depth: 53
freeze_at: 0
return_idx: [1, 2, 3, 4]
norm_type: bn
norm_decay: 0.0004
TTFFPN:
planes: [256, 128, 64]
shortcut_num: [3, 2, 1]
TTFHead:
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