class_docstr: LandmarkHead
  
  RetinaFace head for landmark branch.
  
      inchannels (`int`):
          number of input channels.
      num_anchors (`int`):
          number of anchors.
class_docstr_tok: ["LandmarkHead","RetinaFace","head","for","landmark","branch",".","inchannels","(","`","int","`",")",":","number","of","input","channels",".","num_anchors","(","`","int","`",")",":","number","of","anchors","."]
code: def __init__(self, inchannels: int = 512, num_anchors: int = 3):
      super().__init__()
      self.conv1x1 = nn.Conv2d(
          inchannels,
          num_anchors * 10,
          kernel_size=(1, 1),
          stride=1,
          padding=0,
      )
  
file_path: towhee/towhee/models/retina_face/heads.py
imports: import torch
  from torch import nn
label_desc: Use image node_id 1 to create a new LandmarkHead object from inherited base classes: nn with example: obj = LandmarkHead(inchannels, num_anchors)