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import torch
import torchio as tio
from ...utils import TorchioTestCase
class TestKeepLargestComponent(TorchioTestCase):
"""Tests for `KeepLargestComponent`."""
def test_one_hot(self):
tensor = torch.as_tensor([1, 0, 1, 1, 0, 1]).reshape(1, 1, 1, 6)
label_map = tio.LabelMap(tensor=tensor)
largest = tio.KeepLargestComponent()(label_map)
assert largest.data.sum() == 2
def test_multichannel(self):
label_map = tio.LabelMap(tensor=torch.rand(2, 3, 3, 3) > 1)
with self.assertRaises(RuntimeError):
tio.KeepLargestComponent()(label_map)
fepegar /
torchio
