Upload parquet_to_raw.py with huggingface_hub

parquet_to_raw.py

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+"""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()