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@ -1494,7 +1494,7 @@ TEST(Imgproc_resize_area, regression) |
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cv::Mat expected(5,5,CV_16UC1, expected_data); |
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cv::Mat actual(expected.size(), expected.type()); |
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cv::resize(src, actual, actual.size(), 0.0, 0.0, INTER_AREA); |
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cv::resize(src, actual, cv::Size(), 0.3, 0.3, INTER_AREA); |
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ASSERT_EQ(actual.type(), expected.type()); |
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ASSERT_EQ(actual.size(), expected.size()); |
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@ -1504,12 +1504,13 @@ TEST(Imgproc_resize_area, regression) |
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int elem_diff = 1.0f; |
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Size dsize = actual.size(); |
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for (int dy = 0; dy < dsize.height; ++dy) |
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bool next = true; |
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for (int dy = 0; dy < dsize.height && next; ++dy) |
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{ |
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ushort* eD = expected.ptr<ushort>(dy); |
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ushort* aD = actual.ptr<ushort>(dy); |
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for (int dx = 0; dx < dsize.width; ++dx) |
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for (int dx = 0; dx < dsize.width && next; ++dx) |
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if (fabs(static_cast<float>(aD[dx] - eD[dx])) > elem_diff) |
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{ |
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cvtest::TS::ptr()->printf(cvtest::TS::SUMMARY, "Inf norm: %f\n", static_cast<float>(norm(actual, expected, NORM_INF))); |
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@ -1521,6 +1522,8 @@ TEST(Imgproc_resize_area, regression) |
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std::cout << "actual result:\n" << actual(Range(rmin, rmax), Range(cmin, cmax)) << std::endl; |
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std::cout << "expected result:\n" << expected(Range(rmin, rmax), Range(cmin, cmax)) << std::endl; |
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next = false; |
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} |
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} |
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