text: model = dict(
      type='PANet',
      pretrained='torchvision://resnet50',
      backbone=dict(
          type='mmdet.ResNet',
          depth=50,
          num_stages=4,
          out_indices=(0, 1, 2, 3),
          frozen_stages=1,
          norm_cfg=dict(type='BN', requires_grad=True),
          norm_eval=True,
          style='caffe'),
      neck=dict(type='FPEM_FFM', in_channels=[256, 512, 1024, 2048]),
      bbox_head=dict(
          type='PANHead',
          in_channels=[128, 128, 128, 128],
          out_channels=6,
          loss=dict(type='PANLoss', speedup_bbox_thr=32)),
      train_cfg=None,
      test_cfg=None)
  