forked from tangger/lerobot
Add replay
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86
lerobot/replay.py
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86
lerobot/replay.py
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# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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import time
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from dataclasses import asdict, dataclass
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from pathlib import Path
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from pprint import pformat
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import draccus
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from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
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from lerobot.common.robots import ( # noqa: F401
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Robot,
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RobotConfig,
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koch_follower,
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make_robot_from_config,
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so100_follower,
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)
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from lerobot.common.utils.robot_utils import busy_wait
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from lerobot.common.utils.utils import (
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init_logging,
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log_say,
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)
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@dataclass
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class DatasetReplayConfig:
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# Dataset identifier. By convention it should match '{hf_username}/{dataset_name}' (e.g. `lerobot/test`).
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repo_id: str
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# Episode to replay.
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episode: int
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# Root directory where the dataset will be stored (e.g. 'dataset/path').
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root: str | Path | None = None
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# Limit the frames per second. By default, uses the policy fps.
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fps: int = 30
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@dataclass
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class ReplayConfig:
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robot: RobotConfig
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dataset: DatasetReplayConfig
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# Use vocal synthesis to read events.
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play_sounds: bool = True
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@draccus.wrap()
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def replay(cfg: ReplayConfig):
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init_logging()
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logging.info(pformat(asdict(cfg)))
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robot = make_robot_from_config(cfg.robot)
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dataset = LeRobotDataset(cfg.dataset.repo_id, root=cfg.dataset.root, episodes=[cfg.dataset.episode])
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actions = dataset.hf_dataset.select_columns("action.joints")
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robot.connect()
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log_say("Replaying episode", cfg.play_sounds, blocking=True)
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for idx in range(dataset.num_frames):
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start_episode_t = time.perf_counter()
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action_array = actions[idx]["action.joints"]
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action = {}
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for i, name in enumerate(dataset.features["action.joints"]["names"]):
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action[name] = action_array[i]
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robot.send_action(action)
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dt_s = time.perf_counter() - start_episode_t
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busy_wait(1 / dataset.fps - dt_s)
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robot.disconnect()
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if __name__ == "__main__":
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replay()
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