class_docstr: Generate the ground truth targets of FCENet: Fourier Contour Embedding
  for Arbitrary-Shaped Text Detection.
  
  [https://arxiv.org/abs/2104.10442]
  
  Args:
      fourier_degree (int): The maximum Fourier transform degree k.
      resample_step (float): The step size for resampling the text center
          line (TCL). It's better not to exceed half of the minimum width.
      center_region_shrink_ratio (float): The shrink ratio of text center
          region.
      level_size_divisors (tuple(int)): The downsample ratio on each level.
      level_proportion_range (tuple(tuple(int))): The range of text sizes
          assigned to each level.
code: def __call__(self, results):
      results = self.generate_targets(results)
      return results
  
imports: import cv2
  import numpy
  from numpy.fft import fft
  from numpy.linalg import norm
  import sys
label_desc: Use image node_id 18 for calling the FCENetTargets obj's underlying member method code with example usage: obj.__call__(results) and returns: results