text: # model settings
  model = dict(
      type='ImageClassifier',
      backbone=dict(type='HRNet', arch='w32'),
      neck=[
          dict(type='HRFuseScales', in_channels=(32, 64, 128, 256)),
          dict(type='GlobalAveragePooling'),
      ],
      head=dict(
          type='LinearClsHead',
          in_channels=2048,
          num_classes=1000,
          loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
          topk=(1, 5),
      ))
  