code: def tia_perspective(src):
      img_h, img_w = src.shape[:2]
  
      thresh = img_h // 2
  
      src_pts = list()
      dst_pts = list()
  
      src_pts.append([0, 0])
      src_pts.append([img_w, 0])
      src_pts.append([img_w, img_h])
      src_pts.append([0, img_h])
  
      dst_pts.append([0, np.random.randint(thresh)])
      dst_pts.append([img_w, np.random.randint(thresh)])
      dst_pts.append([img_w, img_h - np.random.randint(thresh)])
      dst_pts.append([0, img_h - np.random.randint(thresh)])
  
      trans = WarpMLS(src, src_pts, dst_pts, img_w, img_h)
      dst = trans.generate()
  
      return dst
  
imports: import numpy
  from .warp_mls import WarpMLS
label_desc: Use image node_id 3 for calling a global function with example usage: tia_perspective(src) and returns: dst