ceph/src/boost/libs/gil/test/extension/numeric/convolve.cpp

   1 //
   2 // Copyright 2019 Mateusz Loskot <mateusz at loskot dot net>
   3 //
   4 // Distributed under the Boost Software License, Version 1.0
   5 // See accompanying file LICENSE_1_0.txt or copy at
   6 // http://www.boost.org/LICENSE_1_0.txt
   7 //
   8 #include <boost/gil.hpp>
   9 #include <boost/gil/extension/numeric/convolve.hpp>
  10
  11 #include <tuple>
  12 #include <type_traits>
  13
  14 #define BOOST_TEST_MODULE test_ext_numeric_colvolve_2d
  15 #include "unit_test.hpp"
  16 #include "unit_test_utility.hpp"
  17 #include "test_fixture.hpp"
  18 #include "core/image/test_fixture.hpp"
  19
  20 namespace gil = boost::gil;
  21 namespace fixture = boost::gil::test::fixture;
  22
  23 BOOST_AUTO_TEST_SUITE(convolve_1d)
  24
  25 BOOST_AUTO_TEST_CASE_TEMPLATE(image_1x1_kernel_1x1_identity, Image, fixture::image_types)
  26 {
  27     auto const img = fixture::create_image<Image>(1, 1, 7);
  28     Image img_out(img);
  29
  30     using pixel_t = typename Image::value_type;
  31     using channel_t = typename gil::channel_type<pixel_t>::type;
  32     auto const kernel = fixture::create_kernel<channel_t>({1});
  33     gil::detail::convolve_1d<pixel_t>(const_view(img_out), kernel, view(img_out));
  34
  35     // 1x1 kernel reduces convolution to multiplication
  36     BOOST_TEST(gil::const_view(img).front() == gil::const_view(img_out).front());
  37 }
  38
  39 BOOST_AUTO_TEST_CASE_TEMPLATE(image_1x1_kernel_3x3_identity, Image, fixture::image_types)
  40 {
  41     auto const img = fixture::create_image<Image>(1, 1, 7);
  42     Image img_out(img);
  43
  44     using pixel_t = typename Image::value_type;
  45     using channel_t = typename gil::channel_type<pixel_t>::type;
  46     auto const kernel = fixture::create_kernel<channel_t>({0, 0, 0, 0, 1, 0, 0, 0, 0});
  47     gil::detail::convolve_1d<pixel_t>(const_view(img_out), kernel, view(img_out));
  48
  49     BOOST_TEST(gil::const_view(img).front() == gil::const_view(img_out).front());
  50 }
  51
  52 BOOST_AUTO_TEST_CASE_TEMPLATE(image_3x3_kernel_3x3_identity, Image, fixture::image_types)
  53 {
  54     using pixel_t = typename Image::value_type;
  55     using channel_t = typename gil::channel_type<pixel_t>::type;
  56     auto const img = fixture::generate_image<Image>(3, 3, fixture::random_value<channel_t>{});
  57     Image img_out(img);
  58
  59     auto const kernel = fixture::create_kernel<channel_t>({0, 0, 0, 0, 1, 0, 0, 0, 0});
  60     gil::detail::convolve_1d<pixel_t>(const_view(img_out), kernel, view(img_out));
  61
  62     BOOST_TEST(gil::equal_pixels(gil::const_view(img), gil::const_view(img_out)));
  63 }
  64
  65 BOOST_AUTO_TEST_CASE_TEMPLATE(image_5x5_kernel_3x3_identity, Image, fixture::image_types)
  66 {
  67     using pixel_t = typename Image::value_type;
  68     using channel_t = typename gil::channel_type<pixel_t>::type;
  69     auto const img = fixture::generate_image<Image>(5, 5, fixture::random_value<channel_t>{});
  70     Image img_out(img);
  71
  72     auto const kernel = fixture::create_kernel<channel_t>({0, 0, 0, 0, 1, 0, 0, 0, 0});
  73     gil::detail::convolve_1d<pixel_t>(const_view(img_out), kernel, view(img_out));
  74     // TODO: Test different boundary options
  75
  76     BOOST_TEST(gil::equal_pixels(gil::const_view(img), gil::const_view(img_out)));
  77 }
  78
  79 BOOST_AUTO_TEST_SUITE_END()