class_docstr: Rescales an image observation to a given size. The target size does not
  necessarily keep the aspect ratio of the original observation.
  Warning: this requires the input observation to be of type uint8 due to scipy requirements!
code: def get_filtered_observation_space(
      self, input_observation_space: ObservationSpace
  ) -> ObservationSpace:
      input_observation_space.shape = (
          self.output_observation_space.shape
      )
      return input_observation_space
  
file_path: coach/rl_coach/filters/observation/observation_rescale_to_size_filter.py
imports: import copy
  from skimage.transform import resize
  import numpy
  from rl_coach.core_types import ObservationType
  from rl_coach.filters.observation.observation_filter import ObservationFilter
  from rl_coach.spaces import ObservationSpace, PlanarMapsObservationSpace, ImageObservationSpace
label_desc: Use image node_id 4 for calling the ObservationRescaleToSizeFilter obj's underlying member method code with example usage: obj.get_filtered_observation_space(input_observation_space) and returns: input_observation_space