def fourier2poly(fourier_coeff, num_reconstr_points=50):
    """ Inverse Fourier transform
        Args:
            fourier_coeff (ndarray): Fourier coefficients shaped (n, 2k+1),
                with n and k being candidates number and Fourier degree
                respectively.
            num_reconstr_points (int): Number of reconstructed polygon points.
        Returns:
            Polygons (ndarray): The reconstructed polygons shaped (n, n')
        """

    a = np.zeros((len(fourier_coeff), num_reconstr_points), dtype='complex')
    k = (len(fourier_coeff[0]) - 1) // 2

    a[:, 0:k + 1] = fourier_coeff[:, k:]
    a[:, -k:] = fourier_coeff[:, :k]

    poly_complex = ifft(a) * num_reconstr_points
    polygon = np.zeros((len(fourier_coeff), num_reconstr_points, 2))
    polygon[:, :, 0] = poly_complex.real
    polygon[:, :, 1] = poly_complex.imag
    return polygon.astype('int32').reshape((len(fourier_coeff), -1))
 Inverse Fourier transform
        Args:
            fourier_coeff (ndarray): Fourier coefficients shaped (n, 2k+1),
                with n and k being candidates number and Fourier degree
                respectively.
            num_reconstr_points (int): Number of reconstructed polygon points.
        Returns:
            Polygons (ndarray): The reconstructed polygons shaped (n, n')
        
pytorchocr/postprocess/fce_postprocess.py