text: _base_ = [
      '../_base_/models/fcn_hr18.py', '../_base_/datasets/water.py',
      '../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
  ]
  model = dict(
      backbone=dict(
          init_cfg=dict(
              type='Pretrained',
              checkpoint='open-mmlab://msra/hrnetv2_w48'),
          extra=dict(
              stage2=dict(num_channels=(48, 96)),
              stage3=dict(num_channels=(48, 96, 192)),
              stage4=dict(num_channels=(48, 96, 192, 384)))),
      decode_head=dict(
          in_channels=[48, 96, 192, 384],
          channels=sum([48, 96, 192, 384]),
          num_classes=2))
  dataset_type = 'WaterDataset'
  data_root = 'data/Wwaterr'
  data = dict(
      train=dict(
          type=dataset_type,
          data_root=data_root,
          img_dir='img_dir/train',
          ann_dir='ann_dir/train'),
      val=dict(
          type=dataset_type,
          data_root=data_root,
          img_dir='img_dir/val',
          ann_dir='ann_dir/val'),
      test=dict(
          type=dataset_type,
          data_root=data_root,
          img_dir='img_dir/val',
          ann_dir='ann_dir/val'))
  
  work_dir = './work_dirs/water/fcn_hr48_512x512_40k_wwaterr'
  