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- architecture: RetinaNet
- pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_cos_pretrained.pdparams
- RetinaNet:
- backbone: ResNet
- neck: FPN
- head: RetinaHead
- ResNet:
- depth: 50
- variant: b
- norm_type: bn
- freeze_at: 0
- return_idx: [1,2,3]
- num_stages: 4
- FPN:
- out_channel: 256
- spatial_scales: [0.125, 0.0625, 0.03125]
- extra_stage: 2
- has_extra_convs: true
- use_c5: false
- RetinaHead:
- conv_feat:
- name: RetinaFeat
- feat_in: 256
- feat_out: 256
- num_convs: 4
- norm_type: null
- use_dcn: false
- anchor_generator:
- name: RetinaAnchorGenerator
- octave_base_scale: 4
- scales_per_octave: 3
- aspect_ratios: [0.5, 1.0, 2.0]
- strides: [8.0, 16.0, 32.0, 64.0, 128.0]
- bbox_assigner:
- name: MaxIoUAssigner
- positive_overlap: 0.5
- negative_overlap: 0.4
- allow_low_quality: true
- loss_class:
- name: FocalLoss
- gamma: 2.0
- alpha: 0.25
- loss_weight: 1.0
- loss_bbox:
- name: SmoothL1Loss
- beta: 0.0
- loss_weight: 1.0
- nms:
- name: MultiClassNMS
- nms_top_k: 1000
- keep_top_k: 100
- score_threshold: 0.05
- nms_threshold: 0.5
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