class_docstr: FCOSR Head, refer to https://arxiv.org/abs/2111.10780 for details 
class_docstr_tok: ["FCOSR","Head",",","refer","to","https",":","\/\/arxiv.org\/abs\/2111.10780","for","details"]
code: def _init_weights(self):
      for cls_, reg_ in zip(self.stem_cls, self.stem_reg):
          normal_(cls_.conv.weight, std=0.01)
          normal_(reg_.conv.weight, std=0.01)
  
      bias_cls = bias_init_with_prob(0.01)
      normal_(self.pred_cls.weight, std=0.01)
      constant_(self.pred_cls.bias, bias_cls)
      normal_(self.pred_xy.weight, std=0.01)
      normal_(self.pred_wh.weight, std=0.01)
      normal_(self.pred_angle.weight, std=0.01)
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register
  from paddle import ParamAttr
  from paddle.regularizer import L2Decay
  from .fcos_head import ScaleReg
  from ..initializer import bias_init_with_prob, constant_, normal_
  from ..ops import get_act_fn, anchor_generator
  from ..rbox_utils import box2corners
  from ..losses import ProbIoULoss
  import numpy
label_desc: Use image node_id 2 for calling the FCOSRHead obj's underlying member method code with example usage: obj._init_weights() without return types