Files
ImageUtils/.CondaPkg/env/Lib/site-packages/skimage/io/tests/test_simpleitk.py
2023-04-02 10:04:46 +07:00

84 lines
2.3 KiB
Python

import numpy as np
import unittest
from tempfile import NamedTemporaryFile
from skimage.io import imread, imsave, use_plugin, reset_plugins
from skimage._shared import testing
from pytest import importorskip, raises, fixture
importorskip('SimpleITK')
np.random.seed(0)
def teardown():
reset_plugins()
@fixture(autouse=True)
def setup_plugin():
"""This ensures that `use_plugin` is directly called before all tests to
ensure that SimpleITK is used.
"""
use_plugin('simpleitk')
yield
def test_imread_as_gray():
img = imread(testing.fetch('data/color.png'), as_gray=True)
assert img.ndim == 2
assert img.dtype == np.float64
img = imread(testing.fetch('data/camera.png'), as_gray=True)
# check that conversion does not happen for a gray image
assert np.sctype2char(img.dtype) in np.typecodes['AllInteger']
def test_bilevel():
expected = np.zeros((10, 10))
expected[::2] = 255
img = imread(testing.fetch('data/checker_bilevel.png'))
np.testing.assert_array_equal(img, expected)
def test_imread_truncated_jpg():
with raises(RuntimeError):
imread(testing.fetch('data/truncated.jpg'))
def test_imread_uint16():
expected = np.load(testing.fetch('data/chessboard_GRAY_U8.npy'))
img = imread(testing.fetch('data/chessboard_GRAY_U16.tif'))
assert np.issubdtype(img.dtype, np.uint16)
np.testing.assert_array_almost_equal(img, expected)
def test_imread_uint16_big_endian():
expected = np.load(testing.fetch('data/chessboard_GRAY_U8.npy'))
img = imread(testing.fetch('data/chessboard_GRAY_U16B.tif'))
np.testing.assert_array_almost_equal(img, expected)
class TestSave(unittest.TestCase):
def roundtrip(self, dtype, x):
with NamedTemporaryFile(suffix='.mha') as f:
fname = f.name
imsave(fname, x)
y = imread(fname)
np.testing.assert_array_almost_equal(x, y)
def test_imsave_roundtrip(self):
for shape in [(10, 10), (10, 10, 3), (10, 10, 4)]:
for dtype in (np.uint8, np.uint16, np.float32, np.float64):
x = np.ones(shape, dtype=dtype) * np.random.rand(*shape)
if np.issubdtype(dtype, np.floating):
yield self.roundtrip, dtype, x
else:
x = (x * 255).astype(dtype)
yield self.roundtrip, dtype, x