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improved cloning test
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@ -47,6 +47,7 @@
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using namespace cv;
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using namespace std;
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static const double numerical_precision = 1.;
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TEST(Photo_SeamlessClone_normal, regression)
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{
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@ -69,8 +70,9 @@ TEST(Photo_SeamlessClone_normal, regression)
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p.y = destination.size().height/2;
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seamlessClone(source, destination, mask, p, result, 1);
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imwrite(folder + "cloned.png", result);
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Mat reference = imread(folder + "reference.png");
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double error = norm(reference, result, NORM_L1);
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EXPECT_LE(error, numerical_precision);
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}
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TEST(Photo_SeamlessClone_mixed, regression)
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@ -94,7 +96,9 @@ TEST(Photo_SeamlessClone_mixed, regression)
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p.y = destination.size().height/2;
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seamlessClone(source, destination, mask, p, result, 2);
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imwrite(folder + "cloned.png", result);
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Mat reference = imread(folder + "reference.png");
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double error = norm(reference, result, NORM_L1);
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EXPECT_LE(error, numerical_precision);
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}
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@ -119,7 +123,9 @@ TEST(Photo_SeamlessClone_featureExchange, regression)
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p.y = destination.size().height/2;
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seamlessClone(source, destination, mask, p, result, 3);
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imwrite(folder + "cloned.png", result);
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Mat reference = imread(folder + "reference.png");
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double error = norm(reference, result, NORM_L1);
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EXPECT_LE(error, numerical_precision);
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}
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@ -138,7 +144,9 @@ TEST(Photo_SeamlessClone_colorChange, regression)
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Mat result;
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colorChange(source, mask, result, 1.5, .5, .5);
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imwrite(folder + "cloned.png", result);
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Mat reference = imread(folder + "reference.png");
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double error = norm(reference, result, NORM_L1);
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EXPECT_LE(error, numerical_precision);
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}
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@ -157,7 +165,9 @@ TEST(Photo_SeamlessClone_illuminationChange, regression)
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Mat result;
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illuminationChange(source, mask, result, 0.2f, 0.4f);
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imwrite(folder + "cloned.png", result);
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Mat reference = imread(folder + "reference.png");
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double error = norm(reference, result, NORM_L1);
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EXPECT_LE(error, numerical_precision);
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}
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@ -176,6 +186,8 @@ TEST(Photo_SeamlessClone_textureFlattening, regression)
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Mat result;
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textureFlattening(source, mask, result, 30, 45, 3);
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imwrite(folder + "cloned.png", result);
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Mat reference = imread(folder + "reference.png");
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double error = norm(reference, result, NORM_L1);
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EXPECT_LE(error, numerical_precision);
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}
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