code: def _add_cameras(
      self, settings, cameras, camera_width, camera_height
  ):
      # add a front facing camera
      if CameraTypes.FRONT in cameras:
          camera = Camera(CameraTypes.FRONT.value)
          camera.set(FOV=100)
          camera.set_image_size(camera_width, camera_height)
          camera.set_position(2.0, 0, 1.4)
          camera.set_rotation(-15.0, 0, 0)
          settings.add_sensor(camera)
  
      # add a left facing camera
      if CameraTypes.LEFT in cameras:
          camera = Camera(CameraTypes.LEFT.value)
          camera.set(FOV=100)
          camera.set_image_size(camera_width, camera_height)
          camera.set_position(2.0, 0, 1.4)
          camera.set_rotation(-15.0, -30, 0)
          settings.add_sensor(camera)
  
      # add a right facing camera
      if CameraTypes.RIGHT in cameras:
          camera = Camera(CameraTypes.RIGHT.value)
          camera.set(FOV=100)
          camera.set_image_size(camera_width, camera_height)
          camera.set_position(2.0, 0, 1.4)
          camera.set_rotation(-15.0, 30, 0)
          settings.add_sensor(camera)
  
      # add a front facing depth camera
      if CameraTypes.DEPTH in cameras:
          camera = Camera(CameraTypes.DEPTH.value)
          camera.set_image_size(camera_width, camera_height)
          camera.set_position(0.2, 0, 1.3)
          camera.set_rotation(8, 30, 0)
          camera.PostProcessing = "Depth"
          settings.add_sensor(camera)
  
      # add a front facing semantic segmentation camera
      if CameraTypes.SEGMENTATION in cameras:
          camera = Camera(CameraTypes.SEGMENTATION.value)
          camera.set_image_size(camera_width, camera_height)
          camera.set_position(0.2, 0, 1.3)
          camera.set_rotation(8, 30, 0)
          camera.PostProcessing = "SemanticSegmentation"
          settings.add_sensor(camera)
  
      return settings
  
imports: import random
  import sys
  from os import path, environ
  from rl_coach.logger import screen
  from rl_coach.filters.action.partial_discrete_action_space_map import PartialDiscreteActionSpaceMap
  from rl_coach.filters.observation.observation_rgb_to_y_filter import ObservationRGBToYFilter
  from rl_coach.filters.observation.observation_to_uint8_filter import ObservationToUInt8Filter
  import os
  import signal
  import logging
  import subprocess
  import numpy
  from rl_coach.environments.environment import Environment, EnvironmentParameters, LevelSelection
  from rl_coach.spaces import BoxActionSpace, ImageObservationSpace, StateSpace, VectorObservationSpace
  from rl_coach.utils import get_open_port, force_list
  from enum import Enum
  from typing import List, Union
  from rl_coach.base_parameters import VisualizationParameters
  from rl_coach.filters.filter import InputFilter, NoOutputFilter
  from rl_coach.filters.observation.observation_rescale_to_size_filter import ObservationRescaleToSizeFilter
  from rl_coach.filters.observation.observation_stacking_filter import ObservationStackingFilter
label_desc: Use image node_id 2 for calling the CarlaEnvironment obj's underlying member method code with example usage: obj._add_cameras(settings, cameras, camera_width, camera_height) and returns: settings