Source code for skoots.validate.utils

from typing import Optional

import numpy as np
import skimage.io as io
import torch
from torch import Tensor


[docs] def imread(image_path: str, pin_memory: Optional[bool] = False) -> Tensor: """ Imports an image from file and returns in torch format :param image_path: path to image :param pin_memory: saves torch tensor in pinned memory if true :return: """ image: np.array = io.imread(image_path) # [Z, X, Y, C] image: np.array = image[..., np.newaxis] if image.ndim == 3 else image image: np.array = image.transpose(-1, 1, 2, 0) image: np.array = image[[2], ...] if image.shape[0] > 3 else image # [C=1, X, Y, Z] image: Tensor = torch.from_numpy(image.astype(np.int32)) if pin_memory: image: Tensor = image.pin_memory() return image
if __name__ == "__main__": from skoots.config import get_cfg_defaults cfg = get_cfg_defaults() cfg_to_bism_model(cfg)