class_docstr: Simplest RoI head, with only two fc layers for classification and
  regression respectively.
class_docstr_tok: ["Simplest","RoI","head",",","with","only","two","fc","layers","for","classification","and","regression","respectively","."]
code: def forward(self, x):
      if self.with_avg_pool:
          x = self.avg_pool(x)
      x = x.view(x.size(0), -1)
      cls_score = self.fc_cls(x) if self.with_cls else None
      bbox_pred = self.fc_reg(x) if self.with_reg else None
      return cls_score, bbox_pred
  
file_path: insightface/detection/scrfd/mmdet/models/roi_heads/bbox_heads/bbox_head.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from mmcv.runner import auto_fp16, force_fp32
  from torch.nn.modules.utils import _pair
  from mmdet.core import build_bbox_coder, multi_apply, multiclass_nms
  from mmdet.models.builder import HEADS, build_loss
  from mmdet.models.losses import accuracy
label_desc: Use image node_id 3 for calling the BBoxHead obj's underlying member method code with example usage: obj.forward(x) and returns: cls_score,  bbox_pred