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
This commit is contained in:
berak 2015-07-23 18:38:18 +02:00
parent 11c3fa527a
commit d9148ea604

View File

@ -790,7 +790,7 @@ public:
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.
*/
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
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
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.