Datasets:
File size: 1,313 Bytes
74f7b5f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | """Shared helpers for portable YOLO datasets."""
from __future__ import annotations
from pathlib import Path
import yaml
IMAGE_SUFFIXES = {".jpg", ".jpeg", ".png", ".bmp", ".webp"}
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
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
def label_for_image(image: Path, root: Path, split: str) -> Path:
return root / "labels" / split / f"{image.stem}.txt"
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