text: _base_ = [
      '../common/mstrain-poly_3x_coco_instance.py',
      '../_base_/models/mask_rcnn_r50_fpn.py'
  ]
  
  model = dict(
      backbone=dict(
          _delete_=True,
          type='RegNet',
          arch='regnetx_400mf',
          out_indices=(0, 1, 2, 3),
          frozen_stages=1,
          norm_cfg=dict(type='BN', requires_grad=True),
          norm_eval=True,
          style='pytorch',
          init_cfg=dict(
              type='Pretrained', checkpoint='open-mmlab://regnetx_400mf')),
      neck=dict(
          type='FPN',
          in_channels=[32, 64, 160, 384],
          out_channels=256,
          num_outs=5))
  
  optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.00005)
  optimizer_config = dict(
      _delete_=True, grad_clip=dict(max_norm=35, norm_type=2))