Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
| #!/usr/bin/env python3 | |
| """Validate the archive-based Hugging Face nuScenes-NRS release.""" | |
| from __future__ import annotations | |
| import argparse | |
| import hashlib | |
| import re | |
| import zipfile | |
| from pathlib import Path | |
| import cv2 | |
| import numpy as np | |
| EXPECTED = {"training": 3182, "validation": 805} | |
| TOKEN_RE = re.compile(r"^[0-9a-f]{32}$") | |
| def sha256_file(path: Path) -> str: | |
| digest = hashlib.sha256() | |
| with path.open("rb") as handle: | |
| for block in iter(lambda: handle.read(1024 * 1024), b""): | |
| digest.update(block) | |
| return digest.hexdigest() | |
| def read_tokens(path: Path) -> list[str]: | |
| tokens = [line.strip() for line in path.read_text(encoding="utf-8").splitlines() if line.strip()] | |
| if len(tokens) != len(set(tokens)) or any(not TOKEN_RE.fullmatch(t) for t in tokens): | |
| raise AssertionError(f"invalid or duplicate tokens in {path}") | |
| return tokens | |
| def validate_split(root: Path, split: str) -> list[str]: | |
| tokens = read_tokens(root / "splits" / f"{split}.txt") | |
| if len(tokens) != EXPECTED[split]: | |
| raise AssertionError(f"{split}: expected {EXPECTED[split]}, found {len(tokens)}") | |
| archive = root / split / "masks.zip" | |
| if not archive.is_file(): | |
| raise AssertionError(f"missing {archive}") | |
| expected_names = {f"masks/{token}.png" for token in tokens} | |
| with zipfile.ZipFile(archive) as bundle: | |
| names = {name for name in bundle.namelist() if not name.endswith("/")} | |
| if names != expected_names: | |
| missing = len(expected_names - names) | |
| extra = len(names - expected_names) | |
| raise AssertionError(f"{split}: archive members differ (missing={missing}, extra={extra})") | |
| for index, token in enumerate(tokens, start=1): | |
| payload = bundle.read(f"masks/{token}.png") | |
| image = cv2.imdecode(np.frombuffer(payload, dtype=np.uint8), cv2.IMREAD_COLOR) | |
| if image is None or image.shape != (900, 1600, 3) or image.dtype.name != "uint8": | |
| raise AssertionError(f"bad PNG shape/dtype for {split}/{token}.png") | |
| if (image[:, :, 0] != 0).any() or (image[:, :, 1] != 0).any(): | |
| raise AssertionError(f"nonzero blue/green channel for {split}/{token}.png") | |
| if not ((image[:, :, 2] == 0) | (image[:, :, 2] == 255)).all(): | |
| raise AssertionError(f"non-binary red channel for {split}/{token}.png") | |
| if index % 500 == 0 or index == len(tokens): | |
| print(f"checked {split}: {index}/{len(tokens)}") | |
| return tokens | |
| def validate_hashes(root: Path) -> None: | |
| rows = [] | |
| for line in (root / "SHA256SUMS.txt").read_text(encoding="utf-8").splitlines(): | |
| if line.strip(): | |
| digest, relative = line.split(" ", 1) | |
| rows.append((digest, relative)) | |
| for expected, relative in rows: | |
| path = root / relative | |
| if not path.is_file() or sha256_file(path) != expected: | |
| raise AssertionError(f"checksum mismatch or missing file: {relative}") | |
| print(f"checked SHA-256 entries: {len(rows)}") | |
| def main() -> int: | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--root", type=Path, default=Path(".")) | |
| args = parser.parse_args() | |
| root = args.root.resolve() | |
| train = validate_split(root, "training") | |
| val = validate_split(root, "validation") | |
| if set(train) & set(val): | |
| raise AssertionError("training/validation token overlap") | |
| validate_hashes(root) | |
| print("nuScenes-NRS archive release validation: PASS") | |
| return 0 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |