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09-generate_worldmodel_test_video.py
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54 lines (46 loc) · 1.59 KB
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import os
import numpy as np
import gymnasium as gym
from gymnasium.wrappers import RecordVideo
from src.models.agent import Agent
from src.utils.torch import get_device
from src.utils.logging import get_logger
LOG_LEVEL = "INFO"
logger = get_logger(LOG_LEVEL)
project_folder = "./"
settings_path = os.path.join(project_folder, "settings.json")
vae_path = os.path.join(project_folder, "weights/vae/model.pth")
worldmodel_path = os.path.join(project_folder, "weights/worldmodel/model.pth")
controller_path = os.path.join(project_folder, "weights/controller/model.pth")
device = get_device()
agent = Agent(
settings_path=settings_path,
vae_path=vae_path,
worldmodel_path=worldmodel_path,
controller_path=controller_path,
device=device,
logger=logger)
env = gym.make("CarRacing-v3",
render_mode="rgb_array",
lap_complete_percent=0.95,
domain_randomize=False,
continuous=True,
max_episode_steps=-1)
env = RecordVideo(env, video_folder="./", name_prefix="test_final_worldmodel",episode_trigger=lambda x: True)
observation, _ = env.reset()
action = np.array([0.0, 0.0, 0.0])
negative_reward_streak = 0
reward = 0
while True:
action = agent.step(observation, reward, action)
observation, reward, terminated, truncated, info = env.step(action)
if reward < 0:
negative_reward_streak += 1
else:
negative_reward_streak = 0
if negative_reward_streak > 300:
logger.debug("Aborting run: Car is stuck off-road.")
break
if terminated or truncated:
break
env.close()