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Update ml.hpp
misplaced CV_WRAP statement lead to not exposing EM::getCovs() to python/java/matlab wrappers add a CV_OUT to return the covs properly
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@ -790,7 +790,7 @@ public:
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Returns vector of covariation matrices. Number of matrices is the number of gaussian mixtures,
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each matrix is a square floating-point matrix NxN, where N is the space dimensionality.
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*/
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virtual void getCovs(std::vector<Mat>& covs) const = 0;
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CV_WRAP virtual void getCovs(CV_OUT std::vector<Mat>& covs) const = 0;
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/** @brief Returns a likelihood logarithm value and an index of the most probable mixture component
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for the given sample.
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@ -804,7 +804,7 @@ public:
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the sample. First element is an index of the most probable mixture component for the given
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sample.
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*/
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CV_WRAP CV_WRAP virtual Vec2d predict2(InputArray sample, OutputArray probs) const = 0;
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CV_WRAP virtual Vec2d predict2(InputArray sample, OutputArray probs) const = 0;
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/** @brief Estimate the Gaussian mixture parameters from a samples set.
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