code: def __init__(self, mean, std):
      self.mean = paddle.to_tensor(
          np.array(mean)[np.newaxis, :, np.newaxis, np.newaxis]
      ).astype("float32")
      self.std = paddle.to_tensor(
          np.array(std)[np.newaxis, :, np.newaxis, np.newaxis]
      ).astype("float32")
  
file_path: PaddleSeg/EISeg/eiseg/inference/predictor/ops.py
imports: import paddle
  import paddle.nn
  import numpy
label_desc: Use image node_id 1 to create a new BatchImageNormalize object  with example: obj = BatchImageNormalize(mean, std)