87 lines
2.5 KiB
Python
87 lines
2.5 KiB
Python
import os.path
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import numpy as np
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import unittest
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from tempfile import NamedTemporaryFile
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from skimage import data
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from skimage.io import imread, imsave, use_plugin, reset_plugins
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from skimage._shared import testing
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from pytest import importorskip
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importorskip('SimpleITK')
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np.random.seed(0)
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def teardown():
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reset_plugins()
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def setup_module(self):
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"""The effect of the `plugin.use` call may be overridden by later imports.
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Call `use_plugin` directly before the tests to ensure that SimpleITK is
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used.
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"""
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use_plugin('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.sctype2char(img.dtype) 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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"""
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#TODO: This test causes a Segmentation fault
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def test_imread_truncated_jpg():
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assert_raises((RuntimeError, ValueError),
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imread,
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testing.fetch('data/truncated.jpg'))
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"""
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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'))
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np.testing.assert_array_almost_equal(img, expected)
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class TestSave(unittest.TestCase):
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def roundtrip(self, dtype, x):
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f = NamedTemporaryFile(suffix='.mha')
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fname = f.name
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f.close()
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imsave(fname, x)
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y = imread(fname)
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np.testing.assert_array_almost_equal(x, y)
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def test_imsave_roundtrip(self):
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for shape in [(10, 10), (10, 10, 3), (10, 10, 4)]:
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for dtype in (np.uint8, np.uint16, np.float32, np.float64):
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x = np.ones(shape, dtype=dtype) * np.random.rand(*shape)
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if np.issubdtype(dtype, np.floating):
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yield self.roundtrip, dtype, x
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else:
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x = (x * 255).astype(dtype)
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yield self.roundtrip, dtype, x
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