class_docstr: The class for PSENet head.
  
  Args:
      in_channels (list[int]): A list of numbers of input channels.
      hidden_dim (int): The hidden dimension of the first convolutional
          layer.
      out_channel (int): Number of output channels.
      module_loss (dict): Configuration dictionary for loss type. Supported
          loss types are "PANModuleLoss" and "PSEModuleLoss". Defaults to
          PSEModuleLoss.
      postprocessor (dict): Config of postprocessor for PSENet.
      init_cfg (dict or list[dict], optional): Initialization configs.
class_docstr_tok: ["The","class","for","PSENet","head",".","Args",":","in_channels","(","list","[","int","]",")",":","A","list","of","numbers","of","input","channels",".","hidden_dim","(","int",")",":","The","hidden","dimension","of","the","first","convolutional","layer",".","out_channel","(","int",")",":","Number","of","output","channels",".","module_loss","(","dict",")",":","Configuration","dictionary","for","loss","type",".","Supported","loss","types","are","``","PANModuleLoss","''","and","``","PSEModuleLoss","''",".","Defaults","to","PSEModuleLoss",".","postprocessor","(","dict",")",":","Config","of","postprocessor","for","PSENet",".","init_cfg","(","dict","or","list","[","dict","]",",","optional",")",":","Initialization","configs","."]
code: def __init__(
      self,
      in_channels: List[int],
      hidden_dim: int,
      out_channel: int,
      module_loss: Dict = dict(type="PSEModuleLoss"),
      postprocessor: Dict = dict(
          type="PSEPostprocessor", text_repr_type="poly"
      ),
      init_cfg: Optional[Union[Dict, List[Dict]]] = None,
  ) -> None:
      super().__init__(
          in_channels=in_channels,
          hidden_dim=hidden_dim,
          out_channel=out_channel,
          module_loss=module_loss,
          postprocessor=postprocessor,
          init_cfg=init_cfg,
      )
  
imports: from typing import Dict, List, Optional, Union
  from mmocr.registry import MODELS
  from .None import PANHead
label_desc: Use image node_id 1 to create a new PSEHead object from inherited base classes: PANHead with example: obj = PSEHead(in_channels, hidden_dim, out_channel, module_loss, postprocessor, init_cfg)