text: _base_ = './mask_rcnn_regnetx-3.2GF_fpn_1x_coco.py'
  model = dict(
      backbone=dict(
          type='RegNet',
          arch='regnetx_12gf',
          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_12gf')),
      neck=dict(
          type='FPN',
          in_channels=[224, 448, 896, 2240],
          out_channels=256,
          num_outs=5))
  