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- architecture: YOLOv3
- snapshot_epoch: 1
- pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNeXt50_32x4d_pretrained.pdparams
- YOLOv3:
- backbone: ResNet
- neck: FPN
- yolo_head: FCOSRHead
- post_process: ~
- ResNet:
- depth: 50
- groups: 32
- base_width: 4
- variant: b
- norm_type: bn
- freeze_at: 0
- return_idx: [1,2,3]
- num_stages: 4
- FPN:
- out_channel: 256
- extra_stage: 2
- has_extra_convs: true
- use_c5: false
- relu_before_extra_convs: true
- FCOSRHead:
- feat_channels: 256
- fpn_strides: [8, 16, 32, 64, 128]
- stacked_convs: 4
- loss_weight: {class: 1.0, probiou: 1.0}
- assigner:
- name: FCOSRAssigner
- factor: 12
- threshold: 0.23
- boundary: [[-1, 64], [64, 128], [128, 256], [256, 512], [512, 100000000.0]]
- nms:
- name: MultiClassNMS
- nms_top_k: 2000
- keep_top_k: -1
- score_threshold: 0.1
- nms_threshold: 0.1
- normalized: False
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