generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

exposed parallelized SVM prediction to python (predict_all)

Browse Source
This commit is contained in:
Alexander Mordvintsev
2012-06-14 10:02:49 +00:00
parent e4d9d5294e
commit a98d6b6217
3 changed files with 9 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

3
modules/ml/include/opencv2/ml/ml.hpp
View File

@@ -488,7 +488,7 @@ public:
bool balanced=false );
virtual float predict( const CvMat* sample, bool returnDFVal=false ) const;
virtual float predict( const CvMat* samples, CvMat* results ) const;
virtual float predict( const CvMat* samples, CV_OUT CvMat* results ) const;
#ifndef SWIG
CV_WRAP CvSVM( const cv::Mat& trainData, const cv::Mat& responses,
@@ -510,6 +510,7 @@ public:
CvParamGrid degreeGrid = CvSVM::get_default_grid(CvSVM::DEGREE),
bool balanced=false);
CV_WRAP virtual float predict( const cv::Mat& sample, bool returnDFVal=false ) const;
CV_WRAP_AS(predict_all) virtual void predict( cv::InputArray samples, cv::OutputArray results ) const;
#endif
CV_WRAP virtual int get_support_vector_count() const;