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