code: def reset_opacity(self):
      opacities_new = inverse_sigmoid(
          torch.min(
              self.get_opacity, torch.ones_like(self.get_opacity) * 0.01
          )
      )
      optimizable_tensors = self.replace_tensor_to_optimizer(
          opacities_new, "opacity"
      )
      self._opacity = optimizable_tensors["opacity"]
  
imports: import torch
  import numpy
  from utils.general_utils import inverse_sigmoid, get_expon_lr_func, build_rotation
  from torch import nn
  import os
  from utils.system_utils import mkdir_p
  from plyfile import PlyData, PlyElement
  from utils.sh_utils import RGB2SH
  from simple_knn._C import distCUDA2
  from utils.graphics_utils import BasicPointCloud
  from utils.general_utils import strip_symmetric, build_scaling_rotation
label_desc: Use image node_id 17 for calling the GaussianModel obj's underlying member method code with example usage: obj.reset_opacity() without return types