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- architecture: SOLOv2
- pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_cos_pretrained.pdparams
- SOLOv2:
- backbone: ResNet
- neck: FPN
- solov2_head: SOLOv2Head
- mask_head: SOLOv2MaskHead
- ResNet:
- depth: 50
- freeze_at: 0
- return_idx: [0,1,2,3]
- num_stages: 4
- FPN:
- out_channel: 256
- SOLOv2Head:
- seg_feat_channels: 512
- stacked_convs: 4
- num_grids: [40, 36, 24, 16, 12]
- kernel_out_channels: 256
- solov2_loss: SOLOv2Loss
- mask_nms: MaskMatrixNMS
- SOLOv2MaskHead:
- mid_channels: 128
- out_channels: 256
- start_level: 0
- end_level: 3
- SOLOv2Loss:
- ins_loss_weight: 3.0
- focal_loss_gamma: 2.0
- focal_loss_alpha: 0.25
- MaskMatrixNMS:
- pre_nms_top_n: 500
- post_nms_top_n: 100
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