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Update ml.hpp

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misplaced CV_WRAP statement lead to not exposing EM::getCovs() to python/java/matlab wrappers

add a CV_OUT to return the covs properly
This commit is contained in:
berak 2015-07-23 18:38:18 +02:00
parent 11c3fa527a
commit d9148ea604
1 changed files with 2 additions and 2 deletions
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modules/ml/include/opencv2/ml.hpp
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@ -790,7 +790,7 @@ public:
Returns vector of covariation matrices. Number of matrices is the number of gaussian mixtures, Returns vector of covariation matrices. Number of matrices is the number of gaussian mixtures,
each matrix is a square floating-point matrix NxN, where N is the space dimensionality. each matrix is a square floating-point matrix NxN, where N is the space dimensionality.
*/ */
virtual void getCovs(std::vector<Mat>& covs) const = 0; CV_WRAP virtual void getCovs(CV_OUT std::vector<Mat>& covs) const = 0;
/** @brief Returns a likelihood logarithm value and an index of the most probable mixture component /** @brief Returns a likelihood logarithm value and an index of the most probable mixture component
for the given sample. for the given sample.
@ -804,7 +804,7 @@ public:
the sample. First element is an index of the most probable mixture component for the given the sample. First element is an index of the most probable mixture component for the given
sample. sample.
*/ */
CV_WRAP CV_WRAP virtual Vec2d predict2(InputArray sample, OutputArray probs) const = 0; CV_WRAP virtual Vec2d predict2(InputArray sample, OutputArray probs) const = 0;
/** @brief Estimate the Gaussian mixture parameters from a samples set. /** @brief Estimate the Gaussian mixture parameters from a samples set.