text: # model settings
  model = dict(
      type='ImageClassifier',
      pretrained='/shared/xudongliu/code/weights/dla34-ba72cf86.pth',
      backbone=dict(
          type='DLA',
          levels=[1, 1, 1, 2, 2, 1],
          channels=[16, 32, 64, 128, 256, 512],
          block_num=2,
          return_levels=True),
      head=dict(
          dict(
              type='DLAClsHead',
              num_convs=2,
              in_channels=512,
              conv_kernel_size=3,
              conv_out_channels=256,
              num_classes=[6, 6, 3],
              conv_cfg=None,
              norm_cfg=None,
              loss_cls=dict(
                  type='CrossEntropyLoss',
                  ignore_index=-1),
              topk=(1,),
          ),
      ))
  