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/*-----------------------------------------------------------------
LOG
GEM - Graphics Environment for Multimedia
Simple distance classifier
Copyright (c) 1997-1999 Mark Danks. mark@danks.org
Copyright (c) Günther Geiger. geiger@epy.co.at
Copyright (c) 2001-2002 IOhannes m zmoelnig. forum::für::umläute. IEM. zmoelnig@iem.kug.ac.at
Copyright (c) 2002 James Tittle & Chris Clepper
For information on usage and redistribution, and for a DISCLAIMER OF ALL
WARRANTIES, see the file, "GEM.LICENSE.TERMS" in this distribution.
-----------------------------------------------------------------*/
#ifndef INCLUDE_PIX_OPENCV_KNEAR_H_
#define INCLUDE_PIX_OPENCV_KNEAR_H_
#ifndef _EiC
#include "cv.h"
#include "highgui.h"
#include "ml.h"
#endif
#include "Base/GemPixObj.h"
/*-----------------------------------------------------------------
-------------------------------------------------------------------
CLASS
pix_opencv_knear : OCR like pattern recognition
based on basic OCR with Open CV tutorial
by damiles : http://blog.damiles.com/?p=93
KEYWORDS
pix
DESCRIPTION
-----------------------------------------------------------------*/
class GEM_EXTERN pix_opencv_knear : public GemPixObj
{
CPPEXTERN_HEADER(pix_opencv_knear, GemPixObj)
public:
//////////
// Constructor
pix_opencv_knear(t_symbol *path, t_floatarg nsamples);
protected:
//////////
// Destructor
virtual ~pix_opencv_knear();
//////////
// Do the processing
virtual void processRGBAImage(imageStruct &image);
virtual void processRGBImage(imageStruct &image);
virtual void processYUVImage(imageStruct &image);
virtual void processGrayImage(imageStruct &image);
void findX(IplImage* imgSrc,int* min, int* max);
void findY(IplImage* imgSrc,int* min, int* max);
CvRect findBB(IplImage* imgSrc);
IplImage preprocessing(IplImage* imgSrc,int new_width, int new_height);
void load_patterns(void);
// to detect changes in the image size
int comp_xsize;
int comp_ysize;
private:
//////////
// Static member functions
static void bangMessCallback(void *data);
static void loadMessCallback(void *data, t_symbol *path, t_floatarg nsamples);
// internal data
t_outlet *m_dataout;
int x_classify;
// open cv classifier data
char *x_filepath;
int x_nsamples;
int x_rsamples;
CvMat *trainData;
CvMat *trainClasses;
CvMat *x_nearest;
CvMat *x_dist;
int x_pwidth;
int x_pheight;
CvKNearest *knn;
// The output and temporary images
IplImage *rgba, *rgb, *grey;
};
#endif // for header file
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