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Fix visualize_dataset with rerun

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This commit is contained in:
Remi Cadene
2025-05-08 17:24:58 +02:00
parent 1ecaeabad0
commit e88af0e588
1 changed files with 3 additions and 3 deletions
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6
lerobot/scripts/visualize_dataset.py
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@@ -79,8 +79,8 @@ from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
class EpisodeSampler(torch.utils.data.Sampler):
def __init__(self, dataset: LeRobotDataset, episode_index: int):
from_idx = dataset.meta.episodes["dataset_from_index"][episode_index].item()
to_idx = dataset.meta.episodes["dataset_to_index"][episode_index].item()
from_idx = dataset.meta.episodes["dataset_from_index"][episode_index]
to_idx = dataset.meta.episodes["dataset_to_index"][episode_index]
self.frame_ids = range(from_idx, to_idx)
def __iter__(self) -> Iterator:
@@ -283,7 +283,7 @@ def main():
tolerance_s = kwargs.pop("tolerance_s")
logging.info("Loading dataset")
dataset = LeRobotDataset(repo_id, root=root, tolerance_s=tolerance_s)
dataset = LeRobotDataset(repo_id, episodes=[args.episode_index], root=root, tolerance_s=tolerance_s)
visualize_dataset(dataset, **vars(args))