dqn-PongNoFrameskip-v4 / wrappers /vec_episode_recorder.py
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DQN playing PongNoFrameskip-v4 from https://github.com/sgoodfriend/rl-algo-impls/tree/1d4094fbcc9082de7f53f4348dd4c7c354152907
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import numpy as np
from gym.wrappers.monitoring.video_recorder import VideoRecorder
from stable_baselines3.common.vec_env.base_vec_env import (
VecEnv,
VecEnvStepReturn,
VecEnvWrapper,
VecEnvObs,
)
from typing import Optional
class VecEpisodeRecorder(VecEnvWrapper):
def __init__(self, venv: VecEnv, base_path: str, max_video_length: int = 3600):
super().__init__(venv)
self.base_path = base_path
self.max_video_length = max_video_length
self.video_recorder = None
self.recorded_frames = 0
def step_wait(self) -> VecEnvStepReturn:
obs, rew, dones, infos = self.venv.step_wait()
# Using first env to record episodes
if self.video_recorder:
self.video_recorder.capture_frame()
self.recorded_frames += 1
if dones[0] and infos[0].get("episode"):
episode_info = {
k: v.item() if hasattr(v, "item") else v
for k, v in infos[0]["episode"].items()
}
self.video_recorder.metadata["episode"] = episode_info
if dones[0] or self.recorded_frames > self.max_video_length:
self._close_video_recorder()
return obs, rew, dones, infos
def reset(self) -> VecEnvObs:
obs = self.venv.reset()
self._start_video_recorder()
return obs
def _start_video_recorder(self) -> None:
self._close_video_recorder()
self.video_recorder = VideoRecorder(
self.venv,
base_path=self.base_path,
)
self.video_recorder.capture_frame()
self.recorded_frames = 1
def _close_video_recorder(self) -> None:
if self.video_recorder:
self.video_recorder.close()
self.video_recorder = None