code: def mask(self):
      _mask = self.captured_mask.image.copy()
      if _mask.max() == 255:
          # Detectron2 mask
          _mask[_mask == 255] = 1
          _mask = 1 - _mask
      else:
          raise ValueError
      assert _mask.sum() > 0
      assert (
          _mask.shape[0:2] == self.pinhole_cam.shape
      ), f"mask does not match with camera model: mask shape: {_mask.shape}, pinhole camera: {self.pinhole_cam}"
      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 3 for calling the NeuManCapture obj's underlying member method code with example usage: obj.mask() and returns: _mask