mirror of
https://github.com/huggingface/lerobot.git
synced 2026-05-19 18:49:52 +00:00
feat(edit): adding a new lerobot-edit-dataset tool to re-encode all the videos of a dataset
This commit is contained in:
@@ -31,6 +31,7 @@ from .dataset_tools import (
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modify_features,
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modify_tasks,
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recompute_stats,
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reencode_dataset,
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remove_feature,
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split_dataset,
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)
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@@ -77,6 +78,7 @@ __all__ = [
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"modify_features",
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"modify_tasks",
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"recompute_stats",
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"reencode_dataset",
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"remove_feature",
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"resolve_delta_timestamps",
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"safe_stop_image_writer",
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@@ -26,7 +26,7 @@ This module provides utilities for:
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import logging
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import shutil
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from collections.abc import Callable
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from concurrent.futures import ThreadPoolExecutor, as_completed, ProcessPoolExecutor
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from pathlib import Path
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import datasets
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@@ -61,11 +61,13 @@ from .utils import (
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DEFAULT_DATA_FILE_SIZE_IN_MB,
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DEFAULT_DATA_PATH,
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DEFAULT_EPISODES_PATH,
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VIDEO_DIR,
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update_chunk_file_indices,
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)
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from .video_utils import (
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encode_video_frames,
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get_video_info,
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reencode_video,
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)
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@@ -1884,3 +1886,77 @@ def convert_image_to_video_dataset(
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# Return new dataset
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return LeRobotDataset(repo_id=repo_id, root=output_dir)
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def _reencode_video_worker(args: tuple) -> Path:
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"""Picklable worker for :func:`reencode_dataset`'s process pool."""
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video_path, camera_encoder, encoder_threads = args
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reencode_video(
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input_video_path=video_path,
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output_video_path=video_path,
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camera_encoder=camera_encoder,
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encoder_threads=encoder_threads,
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overwrite=True,
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)
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return video_path
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def reencode_dataset(
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dataset: LeRobotDataset,
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camera_encoder: VideoEncoderConfig,
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encoder_threads: int | None = None,
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num_workers: int | None = None,
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) -> LeRobotDataset:
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"""Re-encode every video in a dataset with a new set of encoding parameters.
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Videos are re-encoded in-place and the video information in ``info.json`` is refreshed.
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Args:
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dataset: An existing :class:`LeRobotDataset` whose videos will be
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re-encoded.
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camera_encoder: Target encoder configuration applied to every video
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file.
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encoder_threads: Per-encoder thread count forwarded to
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:func:`reencode_video`. ``None`` lets the codec decide.
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num_workers: Number of parallel processes. ``None`` or ``0`` means
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sequential (no multiprocessing); ``1+`` spawns a
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:class:`~multiprocessing.pool.Pool`.
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Returns:
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The same :class:`LeRobotDataset` instance with its metadata updated
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on disk.
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"""
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meta = dataset.meta
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video_paths_list = sorted((meta.root / VIDEO_DIR).rglob("*.mp4"))
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if len(video_paths_list) == 0:
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logging.warning("Dataset has no videos to re-encode.")
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return dataset
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logging.info(f"Re-encoding {len(video_paths_list)} video file(s) with {camera_encoder}")
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worker_args = [
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(vp, camera_encoder, encoder_threads) for vp in video_paths_list
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]
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if num_workers and num_workers >= 1:
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with ProcessPoolExecutor(max_workers=num_workers) as pool:
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futures = [pool.submit(_reencode_video_worker, args) for args in worker_args]
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for future in tqdm(
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as_completed(futures),
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total=len(futures),
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desc="Re-encoding videos",
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):
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future.result()
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else:
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for args in tqdm(worker_args, desc="Re-encoding videos"):
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_reencode_video_worker(args)
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# Refresh video info in metadata for every video key.
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for vid_key in meta.video_keys:
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video_path = meta.root / meta.get_video_file_path(0, vid_key)
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meta.info.features[vid_key]["info"] = get_video_info(
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video_path, camera_encoder=camera_encoder
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)
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write_info(meta.info, meta.root)
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logging.info("Dataset metadata updated.")
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return dataset
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@@ -178,6 +178,23 @@ Recompute stats for relative actions and push to hub:
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--operation.num_workers 4 \
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--push_to_hub true
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Re-encode all videos in a dataset in-place with a new codec:
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lerobot-edit-dataset \
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--repo_id lerobot/pusht \
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--operation.type reencode_videos \
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--operation.camera_encoder.vcodec h264 \
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--operation.camera_encoder.pix_fmt yuv420p \
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--operation.camera_encoder.crf 23
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Re-encode videos into a new dataset using 4 parallel processes:
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lerobot-edit-dataset \
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--repo_id lerobot/pusht \
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--new_repo_id lerobot/pusht_h264 \
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--operation.type reencode_videos \
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--operation.camera_encoder.vcodec h264 \
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--operation.camera_encoder.crf 23 \
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--operation.num_workers 4
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Using JSON config file:
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lerobot-edit-dataset \
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--config_path path/to/edit_config.json
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@@ -195,11 +212,13 @@ import draccus
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from lerobot.configs import VideoEncoderConfig, camera_encoder_defaults, parser
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from lerobot.datasets import (
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LeRobotDataset,
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LeRobotDatasetMetadata,
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convert_image_to_video_dataset,
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delete_episodes,
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merge_datasets,
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modify_tasks,
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recompute_stats,
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reencode_dataset,
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remove_feature,
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split_dataset,
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)
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@@ -268,6 +287,14 @@ class RecomputeStatsConfig(OperationConfig):
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overwrite: bool = False
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@OperationConfig.register_subclass("reencode_videos")
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@dataclass
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class ReencodeVideosConfig(OperationConfig):
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camera_encoder: VideoEncoderConfig = field(default_factory=camera_encoder_defaults)
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num_workers: int = 0
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encoder_threads: int | None = None
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@OperationConfig.register_subclass("info")
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@dataclass
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class InfoConfig(OperationConfig):
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@@ -634,6 +661,59 @@ def handle_recompute_stats(cfg: EditDatasetConfig) -> None:
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dataset.push_to_hub()
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def handle_reencode_videos(cfg: EditDatasetConfig) -> None:
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if not isinstance(cfg.operation, ReencodeVideosConfig):
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raise ValueError("Operation config must be ReencodeVideosConfig")
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meta = LeRobotDatasetMetadata(cfg.repo_id, root=cfg.root)
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first_video_key = meta.video_keys[0] if meta.video_keys else None
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if first_video_key is not None:
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current_info = meta.features[first_video_key].get("info", {})
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current_encoder = VideoEncoderConfig.from_video_info(current_info)
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if current_encoder == cfg.operation.camera_encoder:
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logging.info(
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f"Videos in {cfg.repo_id} are already encoded with {current_encoder}. "
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"Nothing to do."
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)
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return
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else:
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raise ValueError("Dataset has no video features — nothing to re-encode.")
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output_repo_id, input_path, output_path = _resolve_io_paths(
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cfg.repo_id, cfg.new_repo_id, cfg.root, cfg.new_root
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)
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if output_path == input_path:
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backup_path = input_path.with_name(input_path.name + "_old")
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logging.info(f"In-place re-encode — backing up dataset to {backup_path}")
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if backup_path.exists():
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shutil.rmtree(backup_path)
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shutil.copytree(input_path, backup_path)
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else:
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logging.info(f"Copying dataset from {input_path} to {output_path}")
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if output_path.exists():
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shutil.rmtree(output_path)
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shutil.copytree(input_path, output_path)
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logging.info(f"Re-encoding videos in {output_repo_id} with {cfg.operation.camera_encoder}")
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dataset = LeRobotDataset(output_repo_id, root=output_path)
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reencode_dataset(
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dataset,
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camera_encoder=cfg.operation.camera_encoder,
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encoder_threads=cfg.operation.encoder_threads,
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num_workers=cfg.operation.num_workers,
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)
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logging.info(f"All videos re-encoded at {dataset.root}")
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if cfg.push_to_hub:
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logging.info(f"Pushing to hub as {output_repo_id}...")
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dataset.push_to_hub()
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def _get_dataset_size(repo_path):
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import os
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@@ -707,6 +787,8 @@ def edit_dataset(cfg: EditDatasetConfig) -> None:
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handle_convert_image_to_video(cfg)
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elif operation_type == "recompute_stats":
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handle_recompute_stats(cfg)
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elif operation_type == "reencode_videos":
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handle_reencode_videos(cfg)
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elif operation_type == "info":
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handle_info(cfg)
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else:
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