""" Convert a parquet-format HuggingFace dataset back to raw image files. Input: a local directory of .parquet shards OR an HF repo ID Output: GSD-S/{split}/{images,masks,segs,segs_colored}/.{jpg,png} """ import argparse from pathlib import Path from datasets import load_dataset, load_from_disk # split -> (has_segs, has_segs_colored) SPLITS = { "train": (True, True), "test": (True, True), } def save_split(ds, split: str, has_segs: bool, has_segs_colored: bool, out_dir: Path): split_dir = out_dir / split img_dir = split_dir / "images"; img_dir.mkdir(parents=True, exist_ok=True) mask_dir = split_dir / "masks"; mask_dir.mkdir(parents=True, exist_ok=True) seg_dir = split_dir / "segs" if has_segs else None seg_colored_dir = split_dir / "segs_colored" if has_segs_colored else None if seg_dir: seg_dir.mkdir(parents=True, exist_ok=True) if seg_colored_dir: seg_colored_dir.mkdir(parents=True, exist_ok=True) for i, sample in enumerate(ds): stem = sample.get("image_id") or f"{i:06d}" sample["image"].save(img_dir / f"{stem}.jpg") sample["mask"].save(mask_dir / f"{stem}.png") if has_segs and sample.get("seg") is not None: sample["seg"].save(seg_dir / f"{stem}.png") if has_segs_colored and sample.get("seg_colored") is not None: sample["seg_colored"].save(seg_colored_dir / f"{stem}.png") if (i + 1) % 100 == 0: print(f" {i + 1}/{len(ds)}") print(f" saved {len(ds)} samples -> {split_dir}") def main(): parser = argparse.ArgumentParser(description="Convert parquet dataset to raw images") src = parser.add_mutually_exclusive_group(required=True) src.add_argument("--repo", help="HuggingFace repo ID, e.g. garrying/GSD-S") src.add_argument("--local", help="Path to a directory saved with save_to_disk()") parser.add_argument("--out", default="GSD-S", help="Output root directory (default: ./GSD-S)") parser.add_argument("--splits", nargs="+", choices=list(SPLITS), default=list(SPLITS), help="Which splits to convert (default: all)") args = parser.parse_args() out_dir = Path(args.out) out_dir.mkdir(parents=True, exist_ok=True) for split in args.splits: has_segs, has_segs_colored = SPLITS[split] print(f"\nLoading {split}...") if args.repo: ds = load_dataset(args.repo, split=split) else: ds = load_from_disk(str(Path(args.local) / split)) print(f" {len(ds)} samples — saving images...") save_split(ds, split, has_segs, has_segs_colored, out_dir) print(f"\nDone! Raw files in: {out_dir.resolve()}") if __name__ == "__main__": main()