docstr: Return a numpy array containing the image that will be rendered to the screen.
  This can be different from the observation. For example, mujoco's observation is a measurements vector.
  :return: numpy array containing the image that will be rendered to the screen
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code: def get_rendered_image(self) -> np.ndarray:
      """
      Return a numpy array containing the image that will be rendered to the screen.
      This can be different from the observation. For example, mujoco's observation is a measurements vector.
      :return: numpy array containing the image that will be rendered to the screen
      """
      image = [self.state[camera.value[0]] for camera in self.cameras]
      image = np.vstack(image)
      return image
  
imports: import os
  from enum import Enum
  from os import path, environ
  from typing import Union, List
  import numpy
  from rl_coach.base_parameters import VisualizationParameters
  from rl_coach.environments.environment import Environment, EnvironmentParameters, LevelSelection
  from rl_coach.filters.action.full_discrete_action_space_map import FullDiscreteActionSpaceMap
  from rl_coach.filters.filter import InputFilter, OutputFilter
  from rl_coach.filters.observation.observation_rescale_to_size_filter import ObservationRescaleToSizeFilter
  from rl_coach.filters.observation.observation_rgb_to_y_filter import ObservationRGBToYFilter
  from rl_coach.filters.observation.observation_stacking_filter import ObservationStackingFilter
  from rl_coach.filters.observation.observation_to_uint8_filter import ObservationToUInt8Filter
  from rl_coach.spaces import MultiSelectActionSpace, ImageObservationSpace, VectorObservationSpace, StateSpace
label_desc: Use image node_id 5 for calling the DoomEnvironment obj's underlying member method code with example usage: obj.get_rendered_image() and returns: image