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import gym
import gym.spaces.dict
import numpy as np
from gym import ObservationWrapper
class GetRgbObservation(ObservationWrapper):
def __init__(self, env) -> None:
super().__init__(env)
assert isinstance(env.observation_space, gym.spaces.dict.Dict)
self.observation_space = env.observation_space["rgb"] # type: ignore
if getattr(env, "is_vector_env"):
self.single_observation_space = env.single_observation_space["rgb"] # type: ignore
def observation(self, observation: gym.spaces.dict.Dict) -> np.ndarray:
return observation["rgb"] # type: ignore
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