code: def _get_camera_difficulty_bin_edges(
      camera_difficulty_bin_breaks: Tuple[float, float]
  ):
      """
      Get the edges of camera difficulty bins.
      """
      _eps = 1e-5
      lower, upper = camera_difficulty_bin_breaks
      diff_bin_edges = torch.tensor(
          [0.0 - _eps, lower, upper, 1.0 + _eps]
      ).float()
      diff_bin_names = ["hard", "medium", "easy"]
      return diff_bin_edges, diff_bin_names
  
imports: import copy
  import warnings
  from collections import OrderedDict
  from dataclasses import dataclass, field
  from typing import Any, Dict, List, Optional, Sequence, Tuple, TYPE_CHECKING, Union
  import numpy
  import torch
  import torch.nn.functional
  from pytorch3d.implicitron.dataset.frame_data import FrameData
  from pytorch3d.implicitron.dataset.utils import is_train_frame
  from pytorch3d.implicitron.models.base_model import ImplicitronRender
  from pytorch3d.implicitron.tools import vis_utils
  from pytorch3d.implicitron.tools.image_utils import mask_background
  from pytorch3d.implicitron.tools.metric_utils import calc_psnr, eval_depth, iou, rgb_l1
  from pytorch3d.implicitron.tools.point_cloud_utils import get_rgbd_point_cloud
  from pytorch3d.implicitron.tools.vis_utils import make_depth_image
  from pytorch3d.renderer.cameras import PerspectiveCameras
  from pytorch3d.vis.plotly_vis import plot_scene
  from tabulate import tabulate
label_desc: Use image node_id 4 for calling a global function with example usage: _get_camera_difficulty_bin_edges(camera_difficulty_bin_breaks) and returns: diff_bin_edges,  diff_bin_names