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Merge branch '4.x' into '5.x'
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@@ -121,6 +121,35 @@ TEST(Imgproc_PhaseCorrelatorTest, accuracy_1d_odd_fft) {
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ASSERT_NEAR(phaseShift.x, (double)xShift, 1.);
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}
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TEST(Imgproc_PhaseCorrelatorTest, float32_overflow) {
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// load
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Mat im = imread(cvtest::TS::ptr()->get_data_path() + "shared/baboon.png", IMREAD_GRAYSCALE);
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ASSERT_EQ(im.type(), CV_8UC1);
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// convert to 32F, scale values as if original image was 16U
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constexpr auto u8Max = std::numeric_limits<std::uint8_t>::max();
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constexpr auto u16Max = std::numeric_limits<std::uint16_t>::max();
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im.convertTo(im, CV_32FC1, double(u16Max) / double(u8Max));
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// enlarge and create ROIs
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const auto w = im.cols * 5;
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const auto h = im.rows * 5;
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const auto roiW = (w * 2) / 3; // 50% overlap
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Mat imLarge;
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resize(im, imLarge, { w, h });
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const auto roiLeft = imLarge(Rect(0, 0, roiW, h));
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const auto roiRight = imLarge(Rect(w - roiW, 0, roiW, h));
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// correlate
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double response = 0.0;
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Point2d phaseShift = phaseCorrelate(roiLeft, roiRight, cv::noArray(), &response);
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ASSERT_TRUE(std::isnormal(phaseShift.x) || 0.0 == phaseShift.x);
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ASSERT_TRUE(std::isnormal(phaseShift.y) || 0.0 == phaseShift.y);
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ASSERT_TRUE(std::isnormal(response) || 0.0 == response);
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EXPECT_NEAR(std::abs(phaseShift.x), w / 3.0, 1.0);
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EXPECT_NEAR(std::abs(phaseShift.y), 0.0, 1.0);
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}
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////////////////////// DivSpectrums ////////////////////////
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class CV_DivSpectrumsTest : public cvtest::ArrayTest
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{
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