code: def get_channel_num(self, num_classes):
      num_channel = num_classes + 1
      return num_channel
  
file_path: mmdetection/mmdet/models/losses/eqlv2_loss.py
imports: import logging
  from functools import partial
  from typing import Optional
  import torch
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  from mmengine.logging import print_log
  from torch import Tensor
  from mmdet.registry import MODELS
label_desc: Use image node_id 3 for calling the EQLV2Loss obj's underlying member method code with example usage: obj.get_channel_num(num_classes) and returns: num_channel