docstr: Initialize predictor layers of the head.
docstr_tok: ["Initialize","predictor","layers","of","the","head","."]
code: def _init_predictor(self):
      """Initialize predictor layers of the head."""
      self.conv_cls = nn.Conv2d(
          self.feat_channels, self.cls_out_channels, 3, padding=1
      )
      self.conv_reg = nn.Conv2d(self.feat_channels, 4, 3, padding=1)
      if self.with_bezier:
          self.conv_bezier = nn.Conv2d(
              self.feat_channels, 16, kernel_size=3, stride=1, padding=1
          )
  
file_path: mmocr/projects/ABCNet/abcnet/model/abcnet_det_head.py
imports: import torch.nn
  from mmcv.cnn import ConvModule, Scale
  from mmdet.models.utils import multi_apply
  from mmocr.models.textdet.heads.base import BaseTextDetHead
  from mmocr.registry import MODELS
label_desc: Use image node_id 5 for calling the ABCNetDetHead obj's underlying member method code with example usage: obj._init_predictor() without return types