code: def merge_cfg(self, det_cfg):
      base_channels = max(8, int(self.base_channels * self.m) // 8 * 8)
      stage_planes = [base_channels]
      for ratio in self.stage_planes_ratio:
          planes = int(stage_planes[-1] * ratio) // 8 * 8
          stage_planes.append(planes)
      stage_blocks = [
          max(1, int(x * self.m)) for x in self.stage_blocks
      ]
      # print('Blocks:', stage_blocks)
      # print('Planes:', stage_planes)
      block_cfg = dict(
          block=self.block,
          stage_blocks=tuple(stage_blocks),
          stage_planes=stage_planes,
      )
      det_cfg["model"]["backbone"]["block_cfg"] = block_cfg
      det_cfg["model"]["backbone"]["base_channels"] = base_channels
      neck_in_planes = (
          stage_planes
          if self.block == "BasicBlock"
          else [4 * x for x in stage_planes]
      )
      det_cfg["model"]["neck"]["in_channels"] = neck_in_planes
      return det_cfg
  
imports: import os
  import os.path
  import io
  import numpy
  import argparse
  import datetime
  import importlib
  import configparser
  from tqdm import tqdm
  from mmdet.models import build_detector
  import torch
  import autotorch
  from mmcv import Config
  from mmdet.models import build_detector
label_desc: Use image node_id 3 for calling the GenConfigBackbone obj's underlying member method code with example usage: obj.merge_cfg(det_cfg) and returns: det_cfg