preprocess.py

from typing import Tuple, Optional

import numpy as np
from PIL import Image
from imgutils.data import rgb_encode


def _img_encode(image: Image.Image, size: Tuple[int, int] = (384, 384),
                normalize: Optional[Tuple[float, float]] = (0.5, 0.5)):
    image = image.resize(size, Image.BILINEAR)
    data = rgb_encode(image, order_='CHW')

    if normalize is not None:
        mean_, std_ = normalize
        mean = np.asarray([mean_]).reshape((-1, 1, 1))
        std = np.asarray([std_]).reshape((-1, 1, 1))
        data = (data - mean) / std

    return data.astype(np.float32)