class_docstr: The BiSeNetV1 implementation based on PaddlePaddle.
  
  The original article refers to
  Yu, Changqian, et al. "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
  (https://paperswithcode.com/paper/bisenet-bilateral-segmentation-network-for)
  
  Args:
      num_classes (int): The unique number of target classes.
      backbone (paddle.nn.Layer): Backbone network, currently support Resnet18_vd/Resnet34_vd/Resnet50_vd/Resnet101_vd.
      pretrained (str, optional): The path or url of pretrained model. Default: None.
class_docstr_tok: ["The","BiSeNetV1","implementation","based","on","PaddlePaddle",".","The","original","article","refers","to","Yu",",","Changqian",",","et","al",".","``","BiSeNet","V2",":","Bilateral","Network","with","Guided","Aggregation","for","Real-time","Semantic","Segmentation","''","(","https",":","\/\/paperswithcode.com\/paper\/bisenet-bilateral-segmentation-network-for",")","Args",":","num_classes","(","int",")",":","The","unique","number","of","target","classes",".","backbone","(","paddle.nn.Layer",")",":","Backbone","network",",","currently","support","Resnet18_vd\/Resnet34_vd\/Resnet50_vd\/Resnet101_vd",".","pretrained","(","str",",","optional",")",":","The","path","or","url","of","pretrained","model",".","Default",":","None","."]
code: def init_weight(self):
      if self.pretrained is not None:
          utils.load_entire_model(self, self.pretrained)
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 2 for calling the BiseNetV1 obj's underlying member method code with example usage: obj.init_weight() without return types