Upload parquet_to_raw.py with huggingface_hub

parquet_to_raw.py

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+"""
+Convert a parquet-format HuggingFace PMD dataset back to raw image files.
+
+Input:  an HF repo ID  OR  a local directory saved with save_to_disk()
+Output: PMD/{split}/{image,mask,edge}/<image_id>.{jpg,png}
+"""
+import argparse
+from pathlib import Path
+
+from datasets import load_dataset, load_from_disk
+
+# split -> has_edge
+SPLITS = {
+    "train": True,
+    "test":  False,
+}
+
+
+def save_split(ds, split: str, has_edge: bool, out_dir: Path):
+    split_dir = out_dir / split
+    img_dir  = split_dir / "image"; img_dir.mkdir(parents=True, exist_ok=True)
+    mask_dir = split_dir / "mask";  mask_dir.mkdir(parents=True, exist_ok=True)
+    edge_dir = split_dir / "edge"  if has_edge else None
+    if edge_dir: edge_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_edge and sample.get("edge") is not None:
+            sample["edge"].save(edge_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 PMD dataset to raw images")
+    src = parser.add_mutually_exclusive_group(required=True)
+    src.add_argument("--repo",  help="HuggingFace repo ID, e.g. garrying/PMD")
+    src.add_argument("--local", help="Path to a directory saved with save_to_disk()")
+    parser.add_argument("--out", default="PMD", help="Output root directory (default: ./PMD)")
+    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_edge = 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_edge, out_dir)
+
+    print(f"\nDone!  Raw files in: {out_dir.resolve()}")
+
+
+if __name__ == "__main__":
+    main()