class_docstr: RPN head.
  
  Args:
      in_channels (int): Number of channels in the input feature map.
class_docstr_tok: ["RPN","head",".","Args",":","in_channels","(","int",")",":","Number","of","channels","in","the","input","feature","map","."]
code: def __init__(self, in_channels, **kwargs):
      super(RPNHead, self).__init__(1, in_channels, **kwargs)
  
file_path: insightface/detection/scrfd/mmdet/models/dense_heads/rpn_head.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from mmcv.cnn import normal_init
  from mmcv.ops import batched_nms
  from ..builder import HEADS
  from .anchor_head import AnchorHead
  from .rpn_test_mixin import RPNTestMixin
label_desc: Use image node_id 1 to create a new RPNHead object from inherited base classes: RPNTestMixin, AnchorHead with example: obj = RPNHead(in_channels)