code: def binary_mask(self):
      _mask = self.mask.copy()
      _mask[_mask > 0] = 1
      return _mask
  
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 4 for calling the NeuManCapture obj's underlying member method code with example usage: obj.binary_mask() and returns: _mask