| import logging |
| import pathlib |
|
|
| import imageio |
| import numpy as np |
| from openpi_client.runtime import subscriber as _subscriber |
| from typing_extensions import override |
|
|
|
|
| class VideoSaver(_subscriber.Subscriber): |
| """Saves episode data.""" |
|
|
| def __init__(self, out_dir: pathlib.Path, subsample: int = 1) -> None: |
| out_dir.mkdir(parents=True, exist_ok=True) |
| self._out_dir = out_dir |
| self._images: list[np.ndarray] = [] |
| self._subsample = subsample |
|
|
| @override |
| def on_episode_start(self) -> None: |
| self._images = [] |
|
|
| @override |
| def on_step(self, observation: dict, action: dict) -> None: |
| im = observation["images"]["cam_high"] |
| im = np.transpose(im, (1, 2, 0)) |
| self._images.append(im) |
|
|
| @override |
| def on_episode_end(self) -> None: |
| existing = list(self._out_dir.glob("out_[0-9]*.mp4")) |
| next_idx = max([int(p.stem.split("_")[1]) for p in existing], default=-1) + 1 |
| out_path = self._out_dir / f"out_{next_idx}.mp4" |
|
|
| logging.info(f"Saving video to {out_path}") |
| imageio.mimwrite( |
| out_path, |
| [np.asarray(x) for x in self._images[:: self._subsample]], |
| fps=50 // max(1, self._subsample), |
| ) |
|
|