# torchvision resnet18：stride 32 + 3 次上采样 => 输出 stride 4。
model:
  name: defect_net
  backbone:
    # 整块替换：不加这行的话，从 tiny_conv 继承来的 widths/depths/block 会残留，
    # 传给 TorchvisionBackbone 直接报错。见 utils/config.py::deep_merge
    _replace_: true
    name: torchvision
    arch: resnet18
    pretrained: true
    in_channels: 3
  neck:
    name: upsample
    channels: 64
    num_upsamples: 3
  head:
    hidden_channels: 64
  with_classification: true