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Diffstat (limited to 'silx/math/test/test_marchingcubes.py')
| -rw-r--r-- | silx/math/test/test_marchingcubes.py | 188 |
1 files changed, 0 insertions, 188 deletions
diff --git a/silx/math/test/test_marchingcubes.py b/silx/math/test/test_marchingcubes.py deleted file mode 100644 index 41f7e30..0000000 --- a/silx/math/test/test_marchingcubes.py +++ /dev/null @@ -1,188 +0,0 @@ -# coding: utf-8 -# /*########################################################################## -# Copyright (C) 2016 European Synchrotron Radiation Facility -# -# Permission is hereby granted, free of charge, to any person obtaining a copy -# of this software and associated documentation files (the "Software"), to deal -# in the Software without restriction, including without limitation the rights -# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -# copies of the Software, and to permit persons to whom the Software is -# furnished to do so, subject to the following conditions: -# -# The above copyright notice and this permission notice shall be included in -# all copies or substantial portions of the Software. -# -# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN -# THE SOFTWARE. -# -# ############################################################################*/ -"""Tests of the marchingcubes module""" - -from __future__ import division - -__authors__ = ["T. Vincent"] -__license__ = "MIT" -__date__ = "17/01/2018" - -import unittest - -import numpy - -from silx.utils.testutils import ParametricTestCase - -from silx.math import marchingcubes - - -class TestMarchingCubes(ParametricTestCase): - """Tests of marching cubes""" - - def assertAllClose(self, array1, array2, msg=None, - rtol=1e-05, atol=1e-08): - """Assert that the 2 numpy.ndarrays are almost equal. - - :param str msg: Message to provide when assert fails - :param float rtol: Relative tolerance, see :func:`numpy.allclose` - :param float atol: Absolute tolerance, see :func:`numpy.allclose` - """ - if not numpy.allclose(array1, array2, rtol, atol): - raise self.failureException(msg) - - def test_cube(self): - """Unit tests with a single cube""" - - # No isosurface - cube_zero = numpy.zeros((2, 2, 2), dtype=numpy.float32) - - result = marchingcubes.MarchingCubes(cube_zero, 1.) - self.assertEqual(result.shape, cube_zero.shape) - self.assertEqual(result.isolevel, 1.) - self.assertEqual(result.invert_normals, True) - - vertices, normals, indices = result - self.assertEqual(len(vertices), 0) - self.assertEqual(len(normals), 0) - self.assertEqual(len(indices), 0) - - # Cube array dimensions: shape = (dim 0, dim 1, dim2) - # - # dim 0 (Z) - # ^ - # | - # 4 +------+ 5 - # /| /| - # / | / | - # 6 +------+ 7| - # | | | | - # |0 +---|--+ 1 -> dim 2 (X) - # | / | / - # |/ |/ - # 2 +------+ 3 - # / - # dim 1 (Y) - - # isosurface perpendicular to dim 0 (Z) - cube = numpy.array( - (((0., 0.), (0., 0.)), - ((1., 1.), (1., 1.))), dtype=numpy.float32) - level = 0.5 - vertices, normals, indices = marchingcubes.MarchingCubes( - cube, level, invert_normals=False) - self.assertAllClose(vertices[:, 0], level) - self.assertAllClose(normals, (1., 0., 0.)) - self.assertEqual(len(indices), 2) - - # isosurface perpendicular to dim 1 (Y) - cube = numpy.array( - (((0., 0.), (1., 1.)), - ((0., 0.), (1., 1.))), dtype=numpy.float32) - level = 0.2 - vertices, normals, indices = marchingcubes.MarchingCubes(cube, level) - self.assertAllClose(vertices[:, 1], level) - self.assertAllClose(normals, (0., -1., 0.)) - self.assertEqual(len(indices), 2) - - # isosurface perpendicular to dim 2 (X) - cube = numpy.array( - (((0., 1.), (0., 1.)), - ((0., 1.), (0., 1.))), dtype=numpy.float32) - level = 0.9 - vertices, normals, indices = marchingcubes.MarchingCubes( - cube, level, invert_normals=False) - self.assertAllClose(vertices[:, 2], level) - self.assertAllClose(normals, (0., 0., 1.)) - self.assertEqual(len(indices), 2) - - # isosurface normal in dim1, dim 0 (Y, Z) plane - cube = numpy.array( - (((0., 0.), (0., 0.)), - ((0., 0.), (1., 1.))), dtype=numpy.float32) - level = 0.5 - vertices, normals, indices = marchingcubes.MarchingCubes(cube, level) - self.assertAllClose(normals[:, 2], 0.) - self.assertEqual(len(indices), 2) - - def test_sampling(self): - """Test different sampling, comparing to reference without sampling""" - isolevel = 0.5 - size = 9 - chessboard = numpy.zeros((size, size, size), dtype=numpy.float32) - chessboard.reshape(-1)[::2] = 1 # OK as long as dimensions are odd - - ref_result = marchingcubes.MarchingCubes(chessboard, isolevel) - - samplings = [ - (2, 1, 1), - (1, 2, 1), - (1, 1, 2), - (2, 2, 2), - (3, 3, 3), - (1, 3, 1), - (1, 1, 3), - ] - - for sampling in samplings: - with self.subTest(sampling=sampling): - sampling = numpy.array(sampling) - - data = 1e6 * numpy.ones( - sampling * size, dtype=numpy.float32) - # Copy ref chessboard in data according to sampling - data[::sampling[0], ::sampling[1], ::sampling[2]] = chessboard - - result = marchingcubes.MarchingCubes(data, isolevel, - sampling=sampling) - # Compare vertices normalized with shape - self.assertAllClose( - ref_result.get_vertices() / ref_result.shape, - result.get_vertices() / result.shape, - atol=0., rtol=0.) - - # Compare normals - # This comparison only works for normals aligned with axes - # otherwise non uniform sampling would make different normals - self.assertAllClose(ref_result.get_normals(), - result.get_normals(), - atol=0., rtol=0.) - - self.assertAllClose(ref_result.get_indices(), - result.get_indices(), - atol=0., rtol=0.) - - -test_cases = (TestMarchingCubes,) - - -def suite(): - test_suite = unittest.TestSuite() - for test_class in test_cases: - test_suite.addTests( - unittest.defaultTestLoader.loadTestsFromTestCase(test_class)) - return test_suite - -if __name__ == '__main__': - unittest.main(defaultTest="suite") |