Source code for torchio.datasets.mni.sheep

import shutil
import urllib.parse

from ...data import ScalarImage
from ...utils import compress
from ...download import download_and_extract_archive
from .mni import SubjectMNI


class Sheep(SubjectMNI):

    def __init__(self):
        self.name = 'NIFTI_ovine_05mm'
        self.url_dir = urllib.parse.urljoin(self.url_base, 'sheep/')
        self.filename = f'{self.name}.zip'
        self.url = urllib.parse.urljoin(self.url_dir, self.filename)
        t1_nii_path = self.download_root / 'ovine_model_05.nii'
        t1_niigz_path = self.download_root / 'ovine_model_05.nii.gz'
        if not self.download_root.is_dir():
            download_and_extract_archive(
                self.url,
                download_root=self.download_root,
                filename=self.filename,
            )
            shutil.rmtree(self.download_root / 'masks')
            for path in self.download_root.iterdir():
                if path == t1_nii_path:
                    compress(t1_nii_path, t1_niigz_path)
                path.unlink()
        try:
            subject_dict = {'t1': ScalarImage(t1_niigz_path)}
        except FileNotFoundError:  # for backward compatibility
            subject_dict = {'t1': ScalarImage(t1_nii_path)}
        super().__init__(subject_dict)