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@@ -462,7 +462,7 @@ class LeRobotDataset(torch.utils.data.Dataset):
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download_videos (bool, optional): Flag to download the videos. Note that when set to True but the
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video files are already present on local disk, they won't be downloaded again. Defaults to
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True.
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video_backend (str | None, optional): Video backend to use for decoding videos. Defaults to torchcodec.
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video_backend (str | None, optional): Video backend to use for decoding videos. Defaults to torchcodec.
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You can also use the 'pyav' decoder used by Torchvision.
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"""
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super().__init__()
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@@ -707,9 +707,7 @@ class LeRobotDataset(torch.utils.data.Dataset):
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item = {}
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for vid_key, query_ts in query_timestamps.items():
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video_path = self.root / self.meta.get_video_file_path(ep_idx, vid_key)
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frames = decode_video_frames(
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video_path, query_ts, self.tolerance_s, self.video_backend
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)
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frames = decode_video_frames(video_path, query_ts, self.tolerance_s, self.video_backend)
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item[vid_key] = frames.squeeze(0)
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return item
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