| """Convert a parquet HF RGBD-GSD dataset back to raw image files. |
| |
| Restores the original structure: |
| {out}/{split}/images/{id}.jpg |
| {out}/{split}/masks/{id}.png |
| {out}/{split}/depths/{id}.png |
| |
| Usage |
| ----- |
| # From HuggingFace Hub: |
| python parquet_to_raw.py --repo garrying/RGBD-GSD |
| |
| # From a local save_to_disk() directory: |
| python parquet_to_raw.py --local ./rgbd_gsd_disk |
| |
| # Restore only the test split: |
| python parquet_to_raw.py --repo garrying/RGBD-GSD --splits test |
| |
| # Change output directory: |
| python parquet_to_raw.py --repo garrying/RGBD-GSD --out RGBD-GSD_raw |
| """ |
| import argparse |
| from pathlib import Path |
| from datasets import load_dataset, load_from_disk |
|
|
| SPLITS = ["train", "test"] |
|
|
|
|
| def save_split(ds, split: str, 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) |
| depth_dir = split_dir / "depths"; depth_dir.mkdir(parents=True, exist_ok=True) |
|
|
| for i, sample in enumerate(ds): |
| stem = sample.get("image_id") or f"{i:08d}" |
| sample["image"].save(img_dir / f"{stem}.jpg") |
| sample["mask"].save(mask_dir / f"{stem}.png") |
| sample["depth"].save(depth_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 RGBD-GSD back to raw image files." |
| ) |
| src = parser.add_mutually_exclusive_group(required=True) |
| src.add_argument("--repo", help="HuggingFace repo ID (e.g. garrying/RGBD-GSD)") |
| src.add_argument("--local", help="Path to a save_to_disk() directory") |
| parser.add_argument("--out", default="RGBD-GSD", |
| help="Output root directory (default: RGBD-GSD)") |
| parser.add_argument("--splits", nargs="+", choices=SPLITS, default=SPLITS, |
| help="Which splits to restore (default: all)") |
| args = parser.parse_args() |
|
|
| out_dir = Path(args.out) |
| out_dir.mkdir(parents=True, exist_ok=True) |
|
|
| for split in args.splits: |
| 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, out_dir) |
|
|
| print(f"\nDone! Raw files in: {out_dir.resolve()}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|