class_docstr: CornerNet.
  
  This detector is the implementation of the paper `CornerNet: Detecting
  Objects as Paired Keypoints <https://arxiv.org/abs/1808.01244>`_ .
code: def __init__(
      self,
      backbone,
      neck,
      bbox_head,
      train_cfg=None,
      test_cfg=None,
      pretrained=None,
  ):
      super(CornerNet, self).__init__(
          backbone, neck, bbox_head, train_cfg, test_cfg, pretrained
      )
  
file_path: insightface/detection/scrfd/mmdet/models/detectors/cornernet.py
imports: import torch
  from mmdet.core import bbox2result, bbox_mapping_back
  from ..builder import DETECTORS
  from .single_stage import SingleStageDetector
label_desc: Use image node_id 1 to create a new CornerNet object from inherited base classes: SingleStageDetector with example: obj = CornerNet(backbone, neck, bbox_head, train_cfg, test_cfg, pretrained)