86 lines
2.5 KiB
Python
86 lines
2.5 KiB
Python
import numpy as np
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import pytest
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from skimage.io import imread, imsave, use_plugin, reset_plugins, plugin_order
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from skimage._shared import testing
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pytest.importorskip('SimpleITK')
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@pytest.fixture(autouse=True)
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def use_simpleitk_plugin():
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"""Ensure that SimpleITK plugin is used."""
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use_plugin('simpleitk')
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yield
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reset_plugins()
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def test_prefered_plugin():
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order = plugin_order()
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assert order["imread"][0] == "simpleitk"
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assert order["imsave"][0] == "simpleitk"
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assert order["imread_collection"][0] == "simpleitk"
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def test_imread_as_gray():
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img = imread(testing.fetch('data/color.png'), as_gray=True)
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assert img.ndim == 2
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assert img.dtype == np.float64
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img = imread(testing.fetch('data/camera.png'), as_gray=True)
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# check that conversion does not happen for a gray image
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assert np.dtype(img.dtype).char in np.typecodes['AllInteger']
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def test_bilevel():
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expected = np.zeros((10, 10))
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expected[::2] = 255
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img = imread(testing.fetch('data/checker_bilevel.png'))
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np.testing.assert_array_equal(img, expected)
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def test_imread_truncated_jpg():
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with pytest.raises(RuntimeError):
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imread(testing.fetch('data/truncated.jpg'))
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def test_imread_uint16():
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expected = np.load(testing.fetch('data/chessboard_GRAY_U8.npy'))
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img = imread(testing.fetch('data/chessboard_GRAY_U16.tif'))
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assert np.issubdtype(img.dtype, np.uint16)
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np.testing.assert_array_almost_equal(img, expected)
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def test_imread_uint16_big_endian():
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expected = np.load(testing.fetch('data/chessboard_GRAY_U8.npy'))
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img = imread(testing.fetch('data/chessboard_GRAY_U16B.tif'), plugin="simpleitk")
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assert img.dtype.type == np.uint16
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np.testing.assert_array_almost_equal(img, expected)
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@pytest.mark.parametrize("shape", [(10, 10), (10, 10, 3), (10, 10, 4)])
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@pytest.mark.parametrize("dtype", [np.uint8, np.uint16, np.float32, np.float64])
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def test_imsave_roundtrip(shape, dtype, tmp_path):
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if np.issubdtype(dtype, np.floating):
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expected = np.linspace(
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0,
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1,
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endpoint=True,
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num=np.prod(shape),
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dtype=dtype,
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)
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else:
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expected = np.linspace(
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0,
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np.iinfo(dtype).max,
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endpoint=True,
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num=np.prod(shape),
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dtype=dtype,
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)
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expected = expected.reshape(shape)
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file_path = tmp_path / "roundtrip.mha"
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imsave(file_path, expected)
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actual = imread(file_path)
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np.testing.assert_array_almost_equal(actual, expected)
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