Duplicate from garrying/PMD

Co-authored-by: Jiaying Lin <garrying@users.noreply.huggingface.co>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.avro filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
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+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
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+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
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+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: cc-by-nc-4.0
+task_categories:
+  - image-segmentation
+tags:
+  - mirror-detection
+  - segmentation
+  - edge-detection
+  - computer-vision
+pretty_name: Progressive Mirror Detection (PMD)
+size_categories:
+  - 1K<n<10K
+---
+
+# Progressive Mirror Detection (PMD) Dataset
+
+The **PMD** dataset is a benchmark for mirror surface detection introduced in the CVPR 2020 paper [*Progressive Mirror Detection*](https://jiaying.link/cvpr2020-pgd/).
+
+## Dataset Statistics
+
+| Split | Images | Mask | Edge |
+|-------|-------:|:----:|:----:|
+| train |  5,095 | ✓    | ✓    |
+| test  |    571 | ✓    | —    |
+| **total** | **5,666** | | |
+
+## Columns
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `image_id` | string | Original filename stem (e.g. `000000000164`), unique within each split |
+| `image` | Image (RGB JPEG) | Input scene photograph |
+| `mask` | Image (grayscale PNG) | Binary mirror segmentation mask |
+| `edge` | Image (grayscale PNG) | Mirror edge map (train only; `None` for test) |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("garrying/PMD")
+
+sample = ds["train"][0]
+sample["image_id"]  # original filename stem, e.g. "000000000164"
+sample["image"]     # PIL Image (RGB)
+sample["mask"]      # PIL Image (grayscale)
+sample["edge"]      # PIL Image (grayscale, None for test)
+```
+
+## Converting Back to Raw Files
+
+A helper script [`parquet_to_raw.py`](parquet_to_raw.py) is included to restore the original folder layout:
+
+```bash
+# download the script
+huggingface-cli download garrying/PMD parquet_to_raw.py --repo-type dataset --local-dir .
+
+# convert all splits
+python parquet_to_raw.py --repo garrying/PMD --out PMD
+```
+
+Output layout:
+```
+PMD/
+  train/  image/  mask/  edge/
+  test/   image/  mask/
+```
+
+## Pretrained Model
+
+A pretrained **PMDNet** checkpoint is available at [`garrying/PMD-PMDNet`](https://huggingface.co/garrying/PMD-PMDNet).
+
+## License
+
+This dataset is released under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).
+Please cite the paper below if you use this dataset in your work.
+
+## Citation
+
+```bibtex
+@INPROCEEDINGS{PMD:2020,
+   Author    = {Jiaying Lin and Guodong Wang and Rynson W.H. Lau},
+   Title     = {Progressive Mirror Detection},
+   Booktitle = {Proc. CVPR},
+   Year      = {2020}
+}
+```
+
+## Contact
+
+csjylin@gmail.com

data/test-00000-of-00001.parquet

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data/train-00000-of-00001.parquet

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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()