| """Shared helpers for portable YOLO datasets.""" |
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| from __future__ import annotations |
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| from pathlib import Path |
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| import yaml |
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| IMAGE_SUFFIXES = {".jpg", ".jpeg", ".png", ".bmp", ".webp"} |
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| def load_dataset(data_path: Path) -> tuple[dict, Path, dict[int, str]]: |
| data_path = data_path.expanduser().resolve() |
| data = yaml.safe_load(data_path.read_text(encoding="utf-8")) |
| root_value = data.get("path") |
| root = Path(root_value).expanduser() if root_value else data_path.parent |
| if not root.is_absolute(): |
| root = (data_path.parent / root).resolve() |
| raw_names = data["names"] |
| names = ( |
| {i: str(name) for i, name in enumerate(raw_names)} |
| if isinstance(raw_names, list) |
| else {int(key): str(value) for key, value in raw_names.items()} |
| ) |
| return data, root, names |
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| def split_images(data_path: Path, split: str) -> tuple[list[Path], Path, dict[int, str]]: |
| data, root, names = load_dataset(data_path) |
| value = Path(str(data[split])) |
| image_root = value if value.is_absolute() else root / value |
| images = sorted(path for path in image_root.rglob("*") if path.suffix.lower() in IMAGE_SUFFIXES) |
| return images, root, names |
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| def label_for_image(image: Path, root: Path, split: str) -> Path: |
| return root / "labels" / split / f"{image.stem}.txt" |
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