code: def __init__(self, params, resolution_inp=256, resolution_op=256):
      # -- hyper settings
      self.resolution_inp = resolution_inp
      self.resolution_op = resolution_op
      self.MaxPos = resolution_inp * 1.1
  
      # network type
      self.network = TFModel()
      self.network.set_dict(params, use_structured_name=False)
      self.network.eval()
  
imports: import numpy
  import paddle
  from .pd_model.x2paddle_code import TFModel
label_desc: Use image node_id 1 to create a new PosPrediction object  with example: obj = PosPrediction(params, resolution_inp, resolution_op)