class_docstr: The post process for FCENet.
class_docstr_tok: ["The","post","process","for","FCENet","."]
code: def __call__(self, preds, shape_list):
      score_maps = []
      for key, value in preds.items():
          if isinstance(value, paddle.Tensor):
              value = value.numpy()
          cls_res = value[:, :4, :, :]
          reg_res = value[:, 4:, :, :]
          score_maps.append([cls_res, reg_res])
  
      return self.get_boundary(score_maps, shape_list)
  
file_path: PaddleOCR/ppocr/postprocess/fce_postprocess.py
imports: import cv2
  import paddle
  import numpy
  from numpy.fft import ifft
  from ppocr.utils.poly_nms import poly_nms, valid_boundary
label_desc: Use image node_id 2 for calling the FCEPostProcess obj's underlying member method code with example usage: obj.__call__(preds, shape_list) and returns: self