code: def preprocess(im_path, transforms):
      data = {}
      data["img"] = im_path
      data = transforms(data)
      data["img"] = data["img"][np.newaxis, ...]
      data["img"] = paddle.to_tensor(data["img"])
      return data
  
file_path: PaddleSeg/paddleseg/core/analyse.py
imports: import os
  import json
  import math
  from unittest import result
  import cv2
  import numpy
  import paddle
  from PIL import Image
  from paddleseg import utils
  from paddleseg.core import infer
  from paddleseg.utils import logger, progbar, visualize, metrics
label_desc: Use image node_id 3 for calling a global function with example usage: preprocess(im_path, transforms) and returns: data