code: def fused_depth_map(self):
      if self._fused_depth_map is None:
          valid_mask = (self.depth_map > 0) & (self.mask == 0)
          x = self.mono_depth_map[valid_mask]
          y = self.depth_map[valid_mask]
          res = scipy.stats.linregress(x, y)
          self._fused_depth_map = self.depth_map.copy()
          self._fused_depth_map[~valid_mask] = (
              self.mono_depth_map[~valid_mask] * res.slope
              + res.intercept
          )
      return self._fused_depth_map
  
imports: import os
  import joblib
  import numpy
  import torch
  from tqdm import tqdm
  import PIL
  import scipy
  from data_io import colmap_helper
  from geometry import pcd_projector
  from cameras import captures, contents
  from scenes import scene
  from utils import utils, ray_utils
  from models.smpl import SMPL
label_desc: Use image node_id 6 for calling the NeuManCapture obj's underlying member method code with example usage: obj.fused_depth_map() and returns: self