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// Copyright (c) 2007, 2008 libmv authors.
//
// 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.
#include "libmv/image/sample.h"
#include "testing/testing.h"
using namespace libmv;
namespace {
TEST(Image, Nearest) {
Array3Du image(2, 2);
image(0, 0) = 0;
image(0, 1) = 1;
image(1, 0) = 2;
image(1, 1) = 3;
EXPECT_EQ(0, SampleNearest(image, -0.4f, -0.4f));
EXPECT_EQ(0, SampleNearest(image, 0.4f, 0.4f));
EXPECT_EQ(3, SampleNearest(image, 0.6f, 0.6f));
EXPECT_EQ(3, SampleNearest(image, 1.4f, 1.4f));
}
TEST(Image, Linear) {
Array3Df image(2, 2);
image(0, 0) = 0;
image(0, 1) = 1;
image(1, 0) = 2;
image(1, 1) = 3;
EXPECT_EQ(1.5, SampleLinear(image, 0.5, 0.5));
}
TEST(Image, DownsampleBy2) {
Array3Df image(2, 2);
image(0, 0) = 0;
image(0, 1) = 1;
image(1, 0) = 2;
image(1, 1) = 3;
Array3Df resampled_image;
DownsampleChannelsBy2(image, &resampled_image);
ASSERT_EQ(1, resampled_image.Height());
ASSERT_EQ(1, resampled_image.Width());
ASSERT_EQ(1, resampled_image.Depth());
EXPECT_FLOAT_EQ(6. / 4., resampled_image(0, 0));
}
TEST(Image, DownsampleBy2MultiChannel) {
Array3Df image(2, 2, 3);
image(0, 0, 0) = 0;
image(0, 1, 0) = 1;
image(1, 0, 0) = 2;
image(1, 1, 0) = 3;
image(0, 0, 1) = 5;
image(0, 1, 1) = 6;
image(1, 0, 1) = 7;
image(1, 1, 1) = 8;
image(0, 0, 2) = 9;
image(0, 1, 2) = 10;
image(1, 0, 2) = 11;
image(1, 1, 2) = 12;
Array3Df resampled_image;
DownsampleChannelsBy2(image, &resampled_image);
ASSERT_EQ(1, resampled_image.Height());
ASSERT_EQ(1, resampled_image.Width());
ASSERT_EQ(3, resampled_image.Depth());
EXPECT_FLOAT_EQ((0 + 1 + 2 + 3) / 4., resampled_image(0, 0, 0));
EXPECT_FLOAT_EQ((5 + 6 + 7 + 8) / 4., resampled_image(0, 0, 1));
EXPECT_FLOAT_EQ((9 + 10 + 11 + 12) / 4., resampled_image(0, 0, 2));
}
} // namespace
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