| |
| """Rebuild the per-sequence tars from the original frame tree. |
| |
| The tars that get uploaded to the Hub are derived data - they are deleted locally |
| once uploaded. This regenerates them byte-for-byte identically. |
| |
| python repack_for_upload.py --src ../../vqs_4k_kaggle --out .. |
| |
| `metadata.csv` carries both ids, so the rename (legacy_seq_id -> seq_id) is applied |
| to the archive name AND to the paths inside it. |
| """ |
| import argparse |
| import csv |
| import os |
| import subprocess |
| from multiprocessing import Pool |
| from pathlib import Path |
|
|
|
|
| def repack(job): |
| src, out, kind, old, new = job |
| dst = Path(out) / kind / f"{new}.tar" |
| if dst.exists(): |
| return None |
| tmp = str(dst) + ".part" |
| cmd = ["tar", "--sort=name", "--owner=0", "--group=0", "--mtime=UTC 2026-01-01", |
| f"--transform=s|^{old}|{new}|", "-cf", tmp, "-C", f"{src}/{kind}", old] |
| r = subprocess.run(cmd, capture_output=True) |
| if r.returncode != 0: |
| Path(tmp).exists() and os.remove(tmp) |
| return f"FAIL {kind}/{old}: {r.stderr.decode()[:120]}" |
| os.replace(tmp, dst) |
| return None |
|
|
|
|
| def main(): |
| p = argparse.ArgumentParser() |
| p.add_argument("--src", required=True, help="original tree with images/<id>/ and masks/<id>/") |
| p.add_argument("--out", default=".", help="where to write images/*.tar and masks/*.tar") |
| p.add_argument("--workers", type=int, default=6) |
| a = p.parse_args() |
|
|
| meta = Path(a.out) / "metadata.csv" |
| rows = list(csv.DictReader(open(meta))) |
| for k in ("images", "masks"): |
| (Path(a.out) / k).mkdir(parents=True, exist_ok=True) |
|
|
| jobs = [(a.src, a.out, k, r["legacy_seq_id"], r["seq_id"]) |
| for k in ("masks", "images") for r in rows] |
| print(f"packing {len(jobs)} archives from {a.src}") |
| with Pool(a.workers) as pool: |
| errs = [e for e in pool.imap_unordered(repack, jobs, chunksize=8) if e] |
| print("errors:", len(errs)) |
| for e in errs[:5]: |
| print(" ", e) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
