Download prepare_chunks.py from nvidia/PhysicalAI-Event-Videos: direct link, hf CLI and curl.
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https://huggingface.co/datasets/nvidia/PhysicalAI-Event-Videos/resolve/main/prepare_chunks.py
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hf download hf://datasets/nvidia/PhysicalAI-Event-Videos/prepare_chunks.py
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curl -L -o prepare_chunks.py https://huggingface.co/datasets/nvidia/PhysicalAI-Event-Videos/resolve/main/prepare_chunks.py
7.81 kB
| #!/usr/bin/env python3 | |
| """Reconstruct labeled PhysicalAI-Event-Videos chunks from downloaded parents.""" | |
| from __future__ import annotations | |
| import argparse | |
| import concurrent.futures | |
| import json | |
| import os | |
| import shutil | |
| import subprocess | |
| import sys | |
| from pathlib import Path | |
| VIDEO_SUFFIXES = {".avi", ".mkv", ".mov", ".mp4", ".webm"} | |
| def safe_part(value: object, field: str) -> str: | |
| text = str(value or "") | |
| if not text or text in {".", ".."} or Path(text).name != text: | |
| raise ValueError(f"unsafe {field}: {text!r}") | |
| return text | |
| def parent_basename(record: dict) -> str: | |
| source = record.get("source_video") or {} | |
| for value in ( | |
| record.get("video_path"), | |
| source.get("path"), | |
| source.get("repository_path"), | |
| source.get("archive_member"), | |
| ): | |
| if value: | |
| return Path(str(value)).name | |
| raise ValueError(f"no parent-video path for {record.get('dataset')}/{record.get('video_id')}") | |
| def index_parents(root: Path, wanted: set[str]) -> tuple[dict[str, Path], dict[str, list[Path]]]: | |
| found: dict[str, Path] = {} | |
| duplicates: dict[str, list[Path]] = {} | |
| for path in root.rglob("*"): | |
| if not path.is_file() or path.suffix.lower() not in VIDEO_SUFFIXES or path.name not in wanted: | |
| continue | |
| if path.name in found: | |
| duplicates.setdefault(path.name, [found[path.name]]).append(path) | |
| else: | |
| found[path.name] = path | |
| return found, duplicates | |
| def probe(path: Path, ffprobe: str, expected_duration: float) -> tuple[bool, str]: | |
| proc = subprocess.run( | |
| [ | |
| ffprobe, "-v", "error", "-show_entries", | |
| "format=duration:stream=codec_name,pix_fmt", "-of", "json", str(path), | |
| ], | |
| capture_output=True, | |
| text=True, | |
| ) | |
| if proc.returncode: | |
| return False, proc.stderr.strip()[-300:] | |
| try: | |
| data = json.loads(proc.stdout) | |
| duration = float(data["format"]["duration"]) | |
| video = next(stream for stream in data["streams"] if stream.get("codec_name")) | |
| except (KeyError, StopIteration, TypeError, ValueError, json.JSONDecodeError) as exc: | |
| return False, f"invalid ffprobe output: {exc}" | |
| if abs(duration - expected_duration) > 0.10: | |
| return False, f"duration {duration:.3f}s != {expected_duration:.3f}s" | |
| if video.get("codec_name") != "h264" or video.get("pix_fmt") != "yuv420p": | |
| return False, f"unexpected video format {video.get('codec_name')}/{video.get('pix_fmt')}" | |
| return True, "" | |
| def encode(job: tuple[Path, Path, float, float], ffmpeg: str, ffprobe: str, force: bool) -> tuple[Path, str]: | |
| source, output, start, end = job | |
| duration = end - start | |
| if output.exists() and not force: | |
| valid, _ = probe(output, ffprobe, duration) | |
| if valid: | |
| return output, "skipped" | |
| output.parent.mkdir(parents=True, exist_ok=True) | |
| temporary = output.with_name(output.name + ".part.mp4") | |
| temporary.unlink(missing_ok=True) | |
| proc = subprocess.run( | |
| [ | |
| ffmpeg, "-nostdin", "-hide_banner", "-loglevel", "error", "-y", | |
| "-ss", f"{start:.6f}", "-i", str(source), "-t", f"{duration:.6f}", | |
| "-c:v", "libx264", "-preset", "fast", "-crf", "23", | |
| "-pix_fmt", "yuv420p", "-movflags", "+faststart", "-an", str(temporary), | |
| ], | |
| capture_output=True, | |
| text=True, | |
| ) | |
| if proc.returncode: | |
| temporary.unlink(missing_ok=True) | |
| raise RuntimeError(f"ffmpeg failed for {source}: {proc.stderr.strip()[-400:]}") | |
| valid, error = probe(temporary, ffprobe, duration) | |
| if not valid: | |
| temporary.unlink(missing_ok=True) | |
| raise RuntimeError(f"validation failed for {source}: {error}") | |
| os.replace(temporary, output) | |
| return output, "written" | |
| def main() -> int: | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--labels", required=True, type=Path) | |
| parser.add_argument("--videos-dir", required=True, type=Path) | |
| parser.add_argument("--output-dir", required=True, type=Path) | |
| parser.add_argument("--workers", type=int, default=4) | |
| parser.add_argument("--dataset", action="append", help="Process only this dataset; repeatable.") | |
| parser.add_argument("--dry-run", action="store_true", help="Resolve inputs and outputs without encoding.") | |
| parser.add_argument("--force", action="store_true", help="Replace valid existing chunks.") | |
| args = parser.parse_args() | |
| if args.workers < 1: | |
| parser.error("--workers must be at least 1") | |
| labels = json.loads(args.labels.read_text(encoding="utf-8")) | |
| selected = set(args.dataset or []) | |
| records = [record for record in labels if not selected or record.get("dataset") in selected] | |
| if selected - {record.get("dataset") for record in labels}: | |
| parser.error(f"unknown dataset(s): {sorted(selected - {r.get('dataset') for r in labels})}") | |
| wanted = {parent_basename(record) for record in records} | |
| parents, duplicates = index_parents(args.videos_dir, wanted) | |
| if duplicates: | |
| for name, paths in sorted(duplicates.items())[:10]: | |
| print(f"duplicate parent basename {name}: {', '.join(map(str, paths))}", file=sys.stderr) | |
| return 2 | |
| jobs: list[tuple[Path, Path, float, float]] = [] | |
| missing: list[str] = [] | |
| for record in records: | |
| dataset = safe_part(record.get("dataset"), "dataset") | |
| video_id = safe_part(record.get("video_id"), "video_id") | |
| basename = parent_basename(record) | |
| source = parents.get(basename) | |
| if source is None: | |
| missing.append(basename) | |
| continue | |
| for chunk in record.get("chunks", []): | |
| chunk_file = safe_part( | |
| chunk.get("chunk_file") or f"chunk_{int(chunk['chunk_index']):03d}.mp4", | |
| "chunk_file", | |
| ) | |
| start = float(chunk["start_time_sec"]) | |
| end = float(chunk["end_time_sec"]) | |
| if start < 0 or end <= start: | |
| raise ValueError(f"invalid interval {start}..{end} for {dataset}/{video_id}/{chunk_file}") | |
| jobs.append((source, args.output_dir / dataset / video_id / chunk_file, start, end)) | |
| if missing: | |
| print(f"missing {len(missing)} parent videos; examples: {', '.join(sorted(missing)[:10])}", file=sys.stderr) | |
| return 2 | |
| if len({job[1] for job in jobs}) != len(jobs): | |
| raise RuntimeError("duplicate output chunk paths") | |
| print(f"resolved {len(records):,} parent videos and {len(jobs):,} labeled chunks") | |
| if args.dry_run: | |
| print("dry run passed; no files written") | |
| return 0 | |
| ffmpeg = shutil.which("ffmpeg") | |
| ffprobe = shutil.which("ffprobe") | |
| if not ffmpeg or not ffprobe: | |
| print("ffmpeg and ffprobe must both be available on PATH", file=sys.stderr) | |
| return 2 | |
| counts = {"written": 0, "skipped": 0} | |
| failures: list[str] = [] | |
| with concurrent.futures.ThreadPoolExecutor(max_workers=args.workers) as pool: | |
| futures = [pool.submit(encode, job, ffmpeg, ffprobe, args.force) for job in jobs] | |
| for index, future in enumerate(concurrent.futures.as_completed(futures), 1): | |
| try: | |
| _, status = future.result() | |
| counts[status] += 1 | |
| except Exception as exc: # keep processing independent clips | |
| failures.append(str(exc)) | |
| if index % 100 == 0 or index == len(futures): | |
| print(f"processed {index:,}/{len(futures):,}") | |
| print(f"written {counts['written']:,}; skipped {counts['skipped']:,}; failed {len(failures):,}") | |
| for failure in failures[:10]: | |
| print(f"ERROR: {failure}", file=sys.stderr) | |
| return 1 if failures else 0 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |