# 自研轻量骨架：backbone stride 16 + 2 次上采样 => 输出 stride 4。
model:
  name: defect_net
  backbone:
    name: tiny_conv
    in_channels: 3
    widths: [32, 64, 128, 256]
    depths: [1, 2, 2, 2]
    block: dw          # dw=深度可分离(更快) / res=残差(更强)
  neck:
    name: upsample
    channels: 64
    num_upsamples: 2
  head:
    hidden_channels: 64
  with_classification: true
  classification:
    dropout: 0.1