diff options
Diffstat (limited to 'silx/opencl/test/test_image.py')
| -rw-r--r-- | silx/opencl/test/test_image.py | 137 |
1 files changed, 0 insertions, 137 deletions
diff --git a/silx/opencl/test/test_image.py b/silx/opencl/test/test_image.py deleted file mode 100644 index d73a854..0000000 --- a/silx/opencl/test/test_image.py +++ /dev/null @@ -1,137 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# -# Project: image manipulation in OpenCL -# https://github.com/silx-kit/silx -# -# 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. - -""" -Simple test of image manipulation -""" - -from __future__ import division, print_function - -__authors__ = ["Jérôme Kieffer"] -__contact__ = "jerome.kieffer@esrf.eu" -__license__ = "MIT" -__copyright__ = "2017 European Synchrotron Radiation Facility, Grenoble, France" -__date__ = "13/02/2018" - -import logging -import numpy - -import unittest -from ..common import ocl, _measure_workgroup_size -if ocl: - import pyopencl - import pyopencl.array -from ...test.utils import utilstest -from ..image import ImageProcessing -logger = logging.getLogger(__name__) -try: - from PIL import Image -except ImportError: - Image = None - - -@unittest.skipUnless(ocl and Image, "PyOpenCl/Image is missing") -class TestImage(unittest.TestCase): - - @classmethod - def setUpClass(cls): - super(TestImage, cls).setUpClass() - if ocl: - cls.ctx = ocl.create_context() - cls.lena = utilstest.getfile("lena.png") - cls.data = numpy.asarray(Image.open(cls.lena)) - cls.ip = ImageProcessing(ctx=cls.ctx, template=cls.data, profile=True) - - @classmethod - def tearDownClass(cls): - super(TestImage, cls).tearDownClass() - cls.ctx = None - cls.lena = None - cls.data = None - if logger.level <= logging.INFO: - logger.warning("\n".join(cls.ip.log_profile())) - cls.ip = None - - def setUp(self): - if ocl is None: - return - self.data = numpy.asarray(Image.open(self.lena)) - - def tearDown(self): - self.img = self.data = None - - @unittest.skipUnless(ocl, "pyopencl is missing") - def test_cast(self): - """ - tests the cast kernel - """ - res = self.ip.to_float(self.data) - self.assertEqual(res.shape, self.data.shape, "shape") - self.assertEqual(res.dtype, numpy.float32, "dtype") - self.assertEqual(abs(res - self.data).max(), 0, "content") - - @unittest.skipUnless(ocl, "pyopencl is missing") - def test_normalize(self): - """ - tests that all devices are working properly ... - """ - tmp = pyopencl.array.empty(self.ip.ctx, self.data.shape, "float32") - res = self.ip.to_float(self.data, out=tmp) - res2 = self.ip.normalize(tmp, -100, 100, copy=False) - norm = (self.data.astype(numpy.float32) - self.data.min()) / (self.data.max() - self.data.min()) - ref2 = 200 * norm - 100 - self.assertLess(abs(res2 - ref2).max(), 3e-5, "content") - - @unittest.skipUnless(ocl, "pyopencl is missing") - def test_histogram(self): - """ - Test on a greyscaled image ... of Lena :) - """ - lena_bw = (0.2126 * self.data[:, :, 0] + - 0.7152 * self.data[:, :, 1] + - 0.0722 * self.data[:, :, 2]).astype("int32") - ref = numpy.histogram(lena_bw, 255) - ip = ImageProcessing(ctx=self.ctx, template=lena_bw, profile=True) - res = ip.histogram(lena_bw, 255) - ip.log_profile() - delta = (ref[0] - res[0]) - deltap = (ref[1] - res[1]) - self.assertEqual(delta.sum(), 0, "errors are self-compensated") - self.assertLessEqual(abs(delta).max(), 1, "errors are small") - self.assertLessEqual(abs(deltap).max(), 3e-5, "errors on position are small: %s" % (abs(deltap).max())) - - -def suite(): - testSuite = unittest.TestSuite() - testSuite.addTest(TestImage("test_cast")) - testSuite.addTest(TestImage("test_normalize")) - testSuite.addTest(TestImage("test_histogram")) - return testSuite - - -if __name__ == '__main__': - unittest.main(defaultTest="suite") |