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- 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
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