class_docstr: Base class for single-stage detectors.
  
  Single-stage detectors directly and densely predict bounding boxes on the
  output features of the backbone+neck.
docstr: Used for computing network flops.
  
  See `mmdetection/tools/get_flops.py`
docstr_tok: ["Used","for","computing","network","flops",".","See","`","mmdetection\/tools\/get_flops.py","`"]
code: def forward_dummy(self, img):
      """Used for computing network flops.
  
      See `mmdetection/tools/get_flops.py`
      """
      x = self.extract_feat(img)
      outs = self.bbox_head(x)
      return outs
  
file_path: insightface/detection/scrfd/mmdet/models/detectors/single_stage.py
imports: import torch
  import torch.nn
  from mmdet.core import bbox2result
  from ..builder import DETECTORS, build_backbone, build_head, build_neck
  from .base import BaseDetector
label_desc: Use image node_id 4 for calling the SingleStageDetector obj's underlying member method code with example usage: obj.forward_dummy(img) and returns: outs