src/fall_detection/utils.py

from __future__ import annotations

import json
import random
from pathlib import Path
from typing import Any

import numpy as np
import torch


def set_seed(seed: int) -> None:
    random.seed(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    if torch.cuda.is_available():
        torch.cuda.manual_seed_all(seed)
        torch.backends.cudnn.benchmark = False
        torch.backends.cudnn.deterministic = True


def write_json(path: str | Path, value: dict[str, Any]) -> None:
    path = Path(path)
    path.parent.mkdir(parents=True, exist_ok=True)
    with path.open("w", encoding="utf-8") as file:
        json.dump(value, file, ensure_ascii=False, indent=2)


def read_json(path: str | Path) -> dict[str, Any]:
    with Path(path).open("r", encoding="utf-8") as file:
        return json.load(file)