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- architecture: PicoDet
- pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/LCNet_x1_5_pretrained.pdparams
- PicoDet:
- backbone: LCNet
- neck: LCPAN
- head: PicoHeadV2
- LCNet:
- scale: 1.5
- feature_maps: [3, 4, 5]
- LCPAN:
- out_channels: 128
- use_depthwise: True
- num_features: 4
- PicoHeadV2:
- conv_feat:
- name: PicoFeat
- feat_in: 128
- feat_out: 128
- num_convs: 4
- num_fpn_stride: 4
- norm_type: bn
- share_cls_reg: True
- use_se: True
- fpn_stride: [8, 16, 32, 64]
- feat_in_chan: 128
- prior_prob: 0.01
- reg_max: 7
- cell_offset: 0.5
- grid_cell_scale: 5.0
- static_assigner_epoch: 100
- use_align_head: True
- static_assigner:
- name: ATSSAssigner
- topk: 9
- force_gt_matching: False
- assigner:
- name: TaskAlignedAssigner
- topk: 13
- alpha: 1.0
- beta: 6.0
- loss_class:
- name: VarifocalLoss
- use_sigmoid: False
- iou_weighted: True
- loss_weight: 1.0
- loss_dfl:
- name: DistributionFocalLoss
- loss_weight: 0.5
- loss_bbox:
- name: GIoULoss
- loss_weight: 2.5
- nms:
- name: MultiClassNMS
- nms_top_k: 1000
- keep_top_k: 100
- score_threshold: 0.025
- nms_threshold: 0.6
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