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Fixed suggestion of bugfix 3431
Seems correct to me and builds fine
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@ -32,13 +32,13 @@ int main()
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for (int i = 0; i < image.rows; ++i)
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for (int j = 0; j < image.cols; ++j)
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{
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Mat sampleMat = (Mat_<float>(1,2) << i,j);
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Mat sampleMat = (Mat_<float>(1,2) << j,i);
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float response = SVM.predict(sampleMat);
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if (response == 1)
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image.at<Vec3b>(j, i) = green;
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image.at<Vec3b>(i,j) = green;
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else if (response == -1)
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image.at<Vec3b>(j, i) = blue;
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image.at<Vec3b>(i,j) = blue;
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}
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// Show the training data
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