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added contrib module support in Python wrappers (thanks to Eric Christiansen)

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This commit is contained in:
Vadim Pisarevsky
2012-07-04 17:59:14 +00:00
parent bc83011736
commit acf356b080
4 changed files with 23 additions and 16 deletions
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27
modules/contrib/include/opencv2/contrib/contrib.hpp
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@@ -557,15 +557,15 @@ namespace cv
void* user_data;
};
CV_EXPORTS int chamerMatching( Mat& img, Mat& templ,
vector<vector<Point> >& results, vector<float>& cost,
CV_EXPORTS_W int chamerMatching( Mat& img, Mat& templ,
CV_OUT vector<vector<Point> >& results, CV_OUT vector<float>& cost,
double templScale=1, int maxMatches = 20,
double minMatchDistance = 1.0, int padX = 3,
int padY = 3, int scales = 5, double minScale = 0.6, double maxScale = 1.6,
double orientationWeight = 0.5, double truncate = 20);
class CV_EXPORTS StereoVar
class CV_EXPORTS_W StereoVar
{
public:
// Flags
@@ -918,26 +918,26 @@ namespace cv
void lda(InputArray src, InputArray labels);
};
class CV_EXPORTS FaceRecognizer : public Algorithm
class CV_EXPORTS_W FaceRecognizer : public Algorithm
{
public:
//! virtual destructor
virtual ~FaceRecognizer() {}
// Trains a FaceRecognizer.
virtual void train(InputArray src, InputArray labels) = 0;
CV_WRAP virtual void train(InputArray src, InputArray labels) = 0;
// Gets a prediction from a FaceRecognizer.
virtual int predict(InputArray src) const = 0;
// Predicts the label and confidence for a given sample.
virtual void predict(InputArray src, int &label, double &dist) const = 0;
CV_WRAP virtual void predict(InputArray src, CV_OUT int &label, CV_OUT double &dist) const = 0;
// Serializes this object to a given filename.
virtual void save(const string& filename) const;
CV_WRAP virtual void save(const string& filename) const;
// Deserializes this object from a given filename.
virtual void load(const string& filename);
CV_WRAP virtual void load(const string& filename);
// Serializes this object to a given cv::FileStorage.
virtual void save(FileStorage& fs) const = 0;
@@ -947,9 +947,9 @@ namespace cv
};
CV_EXPORTS Ptr<FaceRecognizer> createEigenFaceRecognizer(int num_components = 0, double threshold = DBL_MAX);
CV_EXPORTS Ptr<FaceRecognizer> createFisherFaceRecognizer(int num_components = 0, double threshold = DBL_MAX);
CV_EXPORTS Ptr<FaceRecognizer> createLBPHFaceRecognizer(int radius=1, int neighbors=8,
CV_EXPORTS_W Ptr<FaceRecognizer> createEigenFaceRecognizer(int num_components = 0, double threshold = DBL_MAX);
CV_EXPORTS_W Ptr<FaceRecognizer> createFisherFaceRecognizer(int num_components = 0, double threshold = DBL_MAX);
CV_EXPORTS_W Ptr<FaceRecognizer> createLBPHFaceRecognizer(int radius=1, int neighbors=8,
int grid_x=8, int grid_y=8, double threshold = DBL_MAX);
enum
@@ -968,12 +968,11 @@ namespace cv
COLORMAP_HOT = 11
};
CV_EXPORTS void applyColorMap(InputArray src, OutputArray dst, int colormap);
CV_EXPORTS_W void applyColorMap(InputArray src, OutputArray dst, int colormap);
CV_EXPORTS bool initModule_contrib();
CV_EXPORTS_W bool initModule_contrib();
}
#include "opencv2/contrib/retina.hpp"
#endif