text: _base_ = [
      '../_base_/models/deeplabv3plus_r50-d8-singlecpu.py', '../_base_/datasets/zhuhai15708.py',
      '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py'
  ]
  norm_cfg = dict(type='BN', requires_grad=True)
  model = dict(
      pretrained='mmcls://mobilenet_v2',
      backbone=dict(
          _delete_=True,
          type='MobileNetV2',
          widen_factor=1.,
          strides=(1, 2, 2, 1, 1, 1, 1),
          dilations=(1, 1, 1, 2, 2, 4, 4),
          out_indices=(1, 2, 4, 6)),
      decode_head=dict(in_channels=320, c1_in_channels=24,num_classes=2),
      auxiliary_head=dict(in_channels=96,num_classes=2),
  )
  