class_docstr: Mask Generator
code: def append_to_batch(self, *batch):
      x = batch[0]
      params = self.generate_params(len(x), x.shape[2:4])
      return batch + (params,)
  
file_path: PaddleSeg/contrib/CrossPseudoSupervision/batch_transforms/mask_gen.py
imports: import numpy
  from cvlibs import manager
label_desc: Use image node_id 2 for calling the MaskGenerator obj's underlying member method code with example usage: obj.append_to_batch() and returns: unknown