Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
License:
| from __future__ import annotations | |
| import argparse | |
| import gzip | |
| import hashlib | |
| import json | |
| import struct | |
| from pathlib import Path | |
| import numpy as np | |
| def main() -> int: | |
| parser = argparse.ArgumentParser(description="Export UFO-MNIST NPZ arrays to MNIST-style IDX gzip files.") | |
| parser.add_argument("--dataset", type=Path, default=Path("data/ufo_mnist_v1/ufo_mnist_28x28.npz")) | |
| parser.add_argument("--output", type=Path, default=Path("data/ufo")) | |
| parser.add_argument("--checksums", type=Path, default=Path("data/ufo_mnist_v1/checksums.json")) | |
| args = parser.parse_args() | |
| data = np.load(args.dataset) | |
| args.output.mkdir(parents=True, exist_ok=True) | |
| files = { | |
| "train-images-idx3-ubyte.gz": _write_images(args.output / "train-images-idx3-ubyte.gz", data["train_images"]), | |
| "train-labels-idx1-ubyte.gz": _write_labels(args.output / "train-labels-idx1-ubyte.gz", data["train_labels"]), | |
| "t10k-images-idx3-ubyte.gz": _write_images(args.output / "t10k-images-idx3-ubyte.gz", data["test_images"]), | |
| "t10k-labels-idx1-ubyte.gz": _write_labels(args.output / "t10k-labels-idx1-ubyte.gz", data["test_labels"]), | |
| } | |
| if args.checksums.exists(): | |
| checksums = json.loads(args.checksums.read_text(encoding="utf-8")) | |
| else: | |
| checksums = {} | |
| for name, digest in files.items(): | |
| checksums[f"data/ufo/{name}"] = digest | |
| args.checksums.write_text(json.dumps(checksums, indent=2, sort_keys=True) + "\n", encoding="utf-8") | |
| for name, digest in files.items(): | |
| print(f"{name} {digest}") | |
| return 0 | |
| def _write_images(path: Path, images: np.ndarray) -> str: | |
| images = np.asarray(images, dtype=np.uint8) | |
| if images.ndim != 3: | |
| raise ValueError("images must be shaped (N, rows, cols)") | |
| header = struct.pack(">IIII", 2051, images.shape[0], images.shape[1], images.shape[2]) | |
| return _write_gzip(path, header + images.tobytes()) | |
| def _write_labels(path: Path, labels: np.ndarray) -> str: | |
| labels = np.asarray(labels, dtype=np.uint8) | |
| if labels.ndim != 1: | |
| raise ValueError("labels must be shaped (N,)") | |
| header = struct.pack(">II", 2049, labels.shape[0]) | |
| return _write_gzip(path, header + labels.tobytes()) | |
| def _write_gzip(path: Path, payload: bytes) -> str: | |
| with gzip.GzipFile(filename="", mode="wb", fileobj=path.open("wb"), mtime=0) as handle: | |
| handle.write(payload) | |
| return hashlib.sha256(path.read_bytes()).hexdigest() | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |