code: def apply_transform(transform, img, std_size):
      warped = tf.warp(
          img, inverse_map=transform.inverse, output_shape=std_size
      )
      warped = (warped * 255).astype("uint8")
      return warped
  
file_path: audio/examples/avsr/data_prep/detectors/mediapipe/video_process.py
imports: import cv2
  import numpy
  from skimage import transform
label_desc: Use image node_id 3 for calling a global function with example usage: apply_transform(transform, img, std_size) and returns: warped