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Dataset v3 (#1412)

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Co-authored-by: Simon Alibert <75076266+aliberts@users.noreply.github.com>
Co-authored-by: Remi Cadene <re.cadene@gmail.com>
Co-authored-by: Tavish <tavish9.chen@gmail.com>
Co-authored-by: fracapuano <francesco.capuano@huggingface.co>
Co-authored-by: CarolinePascal <caroline8.pascal@gmail.com>
This commit is contained in:
Michel Aractingi
2025-09-15 09:53:30 +02:00
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parent d602e8169c
commit f55c6e89f0
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6
examples/1_load_lerobot_dataset.py
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@@ -92,11 +92,11 @@ print(dataset.hf_dataset)
# LeRobot datasets also subclasses PyTorch datasets so you can do everything you know and love from working
# with the latter, like iterating through the dataset.
# The __getitem__ iterates over the frames of the dataset. Since our datasets are also structured by
# episodes, you can access the frame indices of any episode using the episode_data_index. Here, we access
# episodes, you can access the frame indices of any episode using dataset.meta.episodes. Here, we access
# frame indices associated to the first episode:
episode_index = 0
from_idx = dataset.episode_data_index["from"][episode_index].item()
to_idx = dataset.episode_data_index["to"][episode_index].item()
from_idx = dataset.meta.episodes["dataset_from_index"][episode_index]
to_idx = dataset.meta.episodes["dataset_to_index"][episode_index]
# Then we grab all the image frames from the first camera:
camera_key = dataset.meta.camera_keys[0]