code: def densepose_name_to_idx():
      return {
          "Torso": [1, 2],
          "Right Hand": [3],
          "Left Hand": [4],
          "Left Foot": [5],
          "Right Foot": [6],
          "Upper Leg Right": [7, 9],
          "Upper Leg Left": [8, 10],
          "Lower Leg Right": [11, 13],
          "Lower Leg Left": [12, 14],
          "Upper Arm Left": [15, 17],
          "Upper Arm Right": [16, 18],
          "Lower Arm Left": [19, 21],
          "Lower Arm Right": [20, 22],
          "Head": [23, 24],
      }
  
imports: import os
  import math
  import time
  import random
  import tqdm
  import torch
  import torch.nn.functional
  import numpy
  import torchvision.utils
  import igl
  import lpips
  from utils import utils, render_utils, ray_utils
  from trainers import tensorboard_helper
  from options import options
  from cameras.captures import ResizedPinholeCapture
  from cameras.pinhole_camera import PinholeCamera
  from models.vanilla import weight_reset
  from utils.constant import HARD_SURFACE_OFFSET, PATCH_SIZE, PATCH_SIZE_SQUARED, CANONICAL_ZOOM_FACTOR, CANONICAL_CAMERA_DIST
label_desc: Use image node_id 1 for calling a global function with example usage: densepose_name_to_idx() and returns: dict