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- architecture: S2ANet
- pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_v2_pretrained.pdparams
- weights: output/s2anet_r50_fpn_1x_dota/model_final.pdparams
- # Model Achitecture
- S2ANet:
- backbone: ResNet
- neck: FPN
- head: S2ANetHead
- ResNet:
- depth: 50
- variant: d
- norm_type: bn
- return_idx: [1,2,3]
- num_stages: 4
- FPN:
- in_channels: [256, 512, 1024]
- out_channel: 256
- spatial_scales: [0.25, 0.125, 0.0625]
- has_extra_convs: True
- extra_stage: 2
- relu_before_extra_convs: False
- S2ANetHead:
- anchor_strides: [8, 16, 32, 64, 128]
- anchor_scales: [4]
- anchor_ratios: [1.0]
- anchor_assign: RBoxAssigner
- stacked_convs: 2
- feat_in: 256
- feat_out: 256
- align_conv_type: 'AlignConv' # AlignConv Conv
- align_conv_size: 3
- use_sigmoid_cls: True
- reg_loss_weight: [1.0, 1.0, 1.0, 1.0, 1.1]
- cls_loss_weight: [1.1, 1.05]
- nms_pre: 2000
- nms:
- name: MultiClassNMS
- keep_top_k: -1
- score_threshold: 0.05
- nms_threshold: 0.1
- normalized: False
- RBoxAssigner:
- pos_iou_thr: 0.5
- neg_iou_thr: 0.4
- min_iou_thr: 0.0
- ignore_iof_thr: -2
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