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ca87ccd941
* feat(scripts): lerobot-rollout * fix(rollout) require dataset in dagger + use duration too * fix(docs): dagger num_episodes * test(rollout): fix expectations * fix(rollout): features check * fix(rollout): device and task propagation + feature pos + warn fps + move rename_map config * docs(rollout): edit rename_map instructions * chore(rollout): multiple minor improvements * chore(rollout): address coments + minor improvements * fix(rollout): enable default * fix(tests): default value RTCConfig * fix(rollout): robot_observation_processor and notify_observation at policy frequency instead of interpolator rate Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com> * fix(rollout): prevent relativeactions with sync inference engine Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com> * fix(rollout): rtc reanchor to non normalized state Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com> * fix(rollout): fixing the episode length to use hwc (#3469) also reducing default length to 5 minutes * feat(rollout): go back to initial position is now a config * fix(rollout): properly propagating video_files_size_in_mb to lerobot_dataset (#3470) * chore(rollout): note about dagger correction stage * chore(docs): update comments and docstring * fix(test): move rtc relative out of rollout module * fix(rollout): address the review comments --------- Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com> Co-authored-by: Maxime Ellerbach <maxime.ellerbach@huggingface.co>
130 lines
4.2 KiB
Python
130 lines
4.2 KiB
Python
#!/usr/bin/env python
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# Copyright 2025 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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from unittest.mock import patch
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import pytest
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pytest.importorskip("datasets", reason="datasets is required (install lerobot[dataset])")
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pytest.importorskip("deepdiff", reason="deepdiff is required (install lerobot[hardware])")
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from lerobot.configs.dataset import DatasetRecordConfig
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from lerobot.scripts.lerobot_calibrate import CalibrateConfig, calibrate
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from lerobot.scripts.lerobot_record import RecordConfig, record
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from lerobot.scripts.lerobot_replay import DatasetReplayConfig, ReplayConfig, replay
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from lerobot.scripts.lerobot_teleoperate import TeleoperateConfig, teleoperate
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from tests.fixtures.constants import DUMMY_REPO_ID
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from tests.mocks.mock_robot import MockRobotConfig
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from tests.mocks.mock_teleop import MockTeleopConfig
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def test_calibrate():
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robot_cfg = MockRobotConfig()
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cfg = CalibrateConfig(robot=robot_cfg)
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calibrate(cfg)
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def test_teleoperate():
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robot_cfg = MockRobotConfig()
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teleop_cfg = MockTeleopConfig()
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cfg = TeleoperateConfig(
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robot=robot_cfg,
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teleop=teleop_cfg,
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teleop_time_s=0.1,
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)
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teleoperate(cfg)
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def test_record_and_resume(tmp_path):
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robot_cfg = MockRobotConfig()
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teleop_cfg = MockTeleopConfig()
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dataset_cfg = DatasetRecordConfig(
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repo_id=DUMMY_REPO_ID,
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single_task="Dummy task",
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root=tmp_path / "record",
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num_episodes=1,
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episode_time_s=0.1,
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reset_time_s=0,
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push_to_hub=False,
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)
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cfg = RecordConfig(
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robot=robot_cfg,
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dataset=dataset_cfg,
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teleop=teleop_cfg,
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play_sounds=False,
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)
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dataset = record(cfg)
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assert dataset.fps == 30
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assert dataset.meta.total_episodes == dataset.num_episodes == 1
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assert dataset.meta.total_frames == dataset.num_frames == 3
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assert dataset.meta.total_tasks == 1
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cfg.resume = True
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# Mock the revision to prevent Hub calls during resume
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with (
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patch("lerobot.datasets.dataset_metadata.get_safe_version") as mock_get_safe_version,
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patch("lerobot.datasets.dataset_metadata.snapshot_download") as mock_snapshot_download,
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):
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mock_get_safe_version.return_value = "v3.0"
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mock_snapshot_download.return_value = str(tmp_path / "record")
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dataset = record(cfg)
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assert dataset.meta.total_episodes == dataset.num_episodes == 2
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assert dataset.meta.total_frames == dataset.num_frames == 6
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assert dataset.meta.total_tasks == 1
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def test_record_and_replay(tmp_path):
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robot_cfg = MockRobotConfig()
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teleop_cfg = MockTeleopConfig()
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record_dataset_cfg = DatasetRecordConfig(
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repo_id=DUMMY_REPO_ID,
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single_task="Dummy task",
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root=tmp_path / "record_and_replay",
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num_episodes=1,
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episode_time_s=0.1,
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push_to_hub=False,
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)
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record_cfg = RecordConfig(
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robot=robot_cfg,
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dataset=record_dataset_cfg,
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teleop=teleop_cfg,
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play_sounds=False,
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)
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replay_dataset_cfg = DatasetReplayConfig(
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repo_id=DUMMY_REPO_ID,
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episode=0,
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root=tmp_path / "record_and_replay",
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)
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replay_cfg = ReplayConfig(
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robot=robot_cfg,
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dataset=replay_dataset_cfg,
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play_sounds=False,
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)
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record(record_cfg)
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# Mock the revision to prevent Hub calls during replay
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with (
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patch("lerobot.datasets.dataset_metadata.get_safe_version") as mock_get_safe_version,
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patch("lerobot.datasets.dataset_metadata.snapshot_download") as mock_snapshot_download,
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):
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mock_get_safe_version.return_value = "v3.0"
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mock_snapshot_download.return_value = str(tmp_path / "record_and_replay")
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replay(replay_cfg)
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