code: def read_image_to_ram(self):
      if self.captured_mono_depth is None:
          return (
              self.captured_image.read_image_to_ram()
              + self.captured_mask.read_image_to_ram()
          )
      else:
          return (
              self.captured_image.read_image_to_ram()
              + self.captured_mask.read_image_to_ram()
              + self.captured_mono_depth.read_depth_to_ram()
          )
  
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 2 for calling the NeuManCapture obj's underlying member method code with example usage: obj.read_image_to_ram() and returns: unknown, unknown