具体地,你可能需要在初始化环境时设置一个`render_mode`参数,然后直接使用`env.render()`,而不再需要`mode`参数。 这是一个例子,假设`env_name`是你希望使用的环境名称: env = gym.make(env_name, render_mode='rgb_array') env.render() 注意,具体的API变更可能因环境而异,所以建议
env= gym.make("CartPole-v1") num=0foriinrange(3000): state=env.reset()whileTrue: num+=1screen= env.render(mode='rgb_array') img=Image.fromarray(screen) filename='./img/screen_image'+str(num)+'.png'print('save img at'+filename) img.save(filename) action=env.action_space.sample...
fromgymnasium.envs.registrationimportregisterimportmo_gymnasiumasmo_gymfromhalf_cheetahimportMOHalfCheetahEnv register(id="wx-half-v1", entry_point=MOHalfCheetahEnv, max_episode_steps=500, )if__name__ =='__main__':importgymnasiumasgym# env = MOHalfCheetahEnv(render_mode="human")# env = MO...
env.render() 1. 2. 3. 4. 5. 6. 7. 另一种方法是直接创建BallEnv类实例即可 class BallEnv(gym.Env): metadata = {'render.modes': ['human']} def __init__(self): def reset(self): def step(self, action): def render(self, mode='human'): def close(self): if __name__ == ...
envs = gym.vector.make('MyGymExamples:MyGymExamples/CliffWalkingEnv-v0', num_envs=3, disable_env_checker=False, render_mode='rgb_array', # 从这开始为环境的自身参数 map_size=(4,12), pix_square_size=30) observations, infos = envs.reset() ...
env=gym.make('Breakout-v0')env.reset()for_inrange(100):plt.imshow(env.render(mode='rgb_array'))display.display(plt.gcf())display.clear_output(wait=True)action=env.action_space.sample()env.step(action) ② 不断修改RGB data以实现多帧图像渲染(仅调用1次imshow,速度快) ...
创建的Panda环境命名为gym-panda,文件名为panda_env.py。按照Gym的规则,文件框架应该这样: importgymfrom gymimporterror,spaces,utilsfrom gym.utilsimportseedingimportosimportpybullet as pimportpybullet_dataimportmathimportnumpy as npimportrandomclassPandaEnv(gym.Env):metadata= {...
((100,200),(500,200))# 给元素添加颜色line1.set_color(0,0,0)line2.set_color(0,0,0)# 把图形元素添加到画板中self.viewer.add_geom(line1)self.viewer.add_geom(line2)returnself.viewer.render(return_rgb_array=mode=='rgb_array')if__name__=='__main__':t=Test()whileTrue:t.render(...
if not env.render_mode: default_render_kwargs = {"mode": "rgb_array_list"} logger.warn( raise AttributeError( "env.render_mode must be specified to use PixelObservationWrapper:" "`gym.make(env_name, render_mode='rgb_array')`." ) 0 comments on commit abefea7 Please sign in to co...
Expand All @@ -623,9 +623,9 @@ def _render(self, mode: str = "human"): self.screen.blit(self.surf, (0, 0)) pygame.display.flip() if mode in {"rgb_array", "single_rgb_array"}: if mode in {"rgb_array", "rgb_array_list"}: return self._create_image_array(self.surf, ...