code: def warp_img(src, dst, img, std_size):
      tform = tf.estimate_transform("similarity", src, dst)
      warped = tf.warp(
          img, inverse_map=tform.inverse, output_shape=std_size
      )
      warped = (warped * 255).astype("uint8")
      return warped, tform
  
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 2 for calling a global function with example usage: warp_img(src, dst, img, std_size) and returns: warped,  tform