class_docstr: Mask IoU Head.
  
  This head predicts the IoU of predicted masks and corresponding gt masks.
code: def init_weights(self):
      for conv in self.convs:
          kaiming_init(conv)
      for fc in self.fcs:
          kaiming_init(
              fc,
              a=1,
              mode="fan_in",
              nonlinearity="leaky_relu",
              distribution="uniform",
          )
      normal_init(self.fc_mask_iou, std=0.01)
  
file_path: insightface/detection/scrfd/mmdet/models/roi_heads/mask_heads/maskiou_head.py
imports: import numpy
  import torch
  import torch.nn
  from mmcv.cnn import Conv2d, Linear, MaxPool2d, kaiming_init, normal_init
  from mmcv.runner import force_fp32
  from torch.nn.modules.utils import _pair
  from mmdet.models.builder import HEADS, build_loss
label_desc: Use image node_id 2 for calling the MaskIoUHead obj's underlying member method code with example usage: obj.init_weights() without return types