Error in example 2

[Lukeli0425]

Hi there! i was testing your method on image deconvolution and ran into the following errors:

---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
Cell In[9], line 4
      1 #loop
      2 # for obs, psf, gt in zip(gals_obs,psfs,gals):
      3 #deconvolve
----> 4 g1.deconvolve(obs=obs_im,ground_truth=gt_im,psf=psf_im)
      5 g0.deconvolve(obs=obs_im,ground_truth=gt_im,psf=psf_im)
      6 #update ellipticity error lists

File ~/Galaxy-Deconv/score/score.py:735, in score.deconvolve(self, **kwargs)
    730 """This method performs deconvolution.
    731 -----------------------------------------------------------------------
    732 PARAMETERS:
    733    For more details on the input parameters see 'set_param'."""
    734 self._bool_dec = True
--> 735 self._restore(**kwargs)

File ~/Galaxy-Deconv/score/score.py:707, in score._restore(self, **kwargs)
    705 #the remaining parameters are given defaults values
    706 self.set_defaults(**kwargs)
--> 707 self.init_input(**kwargs)
    708 if self.verbose:
    709     print("Running restoration...")
...
   1125 scale_nominator = ((scale_fun_upper_bound - scale_fun_lower_bound) /
   1126                    max_scale)
   1127 hor_scale = scale_nominator / (n_max - a / max_scale)

AssertionError: The given number of scales is too large for the given dimensions!

Could you help me fix it? Thanks!