Datasets:
File size: 2,561 Bytes
55b94b6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 | """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()
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