import os.path import numpy as np import unittest from tempfile import NamedTemporaryFile from skimage import data from skimage.io import imread, imsave, use_plugin, reset_plugins from skimage._shared import testing from pytest import importorskip importorskip('SimpleITK') np.random.seed(0) def teardown(): reset_plugins() def setup_module(self): """The effect of the `plugin.use` call may be overridden by later imports. Call `use_plugin` directly before the tests to ensure that SimpleITK is used. """ use_plugin('simpleitk') 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) """ #TODO: This test causes a Segmentation fault def test_imread_truncated_jpg(): assert_raises((RuntimeError, ValueError), 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): f = NamedTemporaryFile(suffix='.mha') fname = f.name f.close() 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