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|
////////////////////////////////////////////////////////
//
// GEM - Graphics Environment for Multimedia
//
// zmoelnig@iem.kug.ac.at
//
// Implementation file
//
// Copyright (c) 1997-2000 Mark Danks.
// Copyright (c) Günther Geiger.
// Copyright (c) 2001-2002 IOhannes m zmoelnig. forum::für::umläute. IEM
// 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.
//
/////////////////////////////////////////////////////////
#include "pix_opencv_contours_boundingrect.h"
#include <stdio.h>
CPPEXTERN_NEW(pix_opencv_contours_boundingrect)
/////////////////////////////////////////////////////////
//
// pix_opencv_contours_boundingrect
//
/////////////////////////////////////////////////////////
// Constructor
//
/////////////////////////////////////////////////////////
pix_opencv_contours_boundingrect :: pix_opencv_contours_boundingrect()
{
inlet_new(this->x_obj, &this->x_obj->ob_pd, gensym("float"), gensym("minarea"));
inlet_new(this->x_obj, &this->x_obj->ob_pd, gensym("float"), gensym("maxarea"));
m_dataout = outlet_new(this->x_obj, 0);
m_countout = outlet_new(this->x_obj, 0);
minarea = 1;
maxarea = 320*240;
comp_xsize = 0;
comp_ysize = 0;
orig = NULL;
gray = NULL;
cnt_img = NULL;
rgb = NULL;
x_ftolerance = 5;
x_mmove = 10;
x_nightmode = 0;
x_show = 0;
x_draw = 1;
x_cmode = CV_RETR_LIST;
x_cmethod = CV_CHAIN_APPROX_SIMPLE;
// initialize font
cvInitFont( &font, CV_FONT_HERSHEY_PLAIN, 1.0, 1.0, 1.0, 1, 8 );
}
/////////////////////////////////////////////////////////
// Destructor
//
/////////////////////////////////////////////////////////
pix_opencv_contours_boundingrect :: ~pix_opencv_contours_boundingrect()
{
//Destroy cv_images to clean memory
cvReleaseImage(&orig);
cvReleaseImage(&gray);
cvReleaseImage(&cnt_img);
cvReleaseImage(&rgb);
}
/////////////////////////////////////////////////////////
// Mark a contour
//
/////////////////////////////////////////////////////////
int pix_opencv_contours_boundingrect :: mark(float fx, float fy )
{
int i;
if ( ( fx < 0.0 ) || ( fx > this->comp_xsize ) || ( fy < 0 ) || ( fy > this->comp_ysize ) )
{
return -1;
}
for ( i=0; i<MAX_MARKERS; i++)
{
if ( x_xmark[i] == -1 )
{
x_xmark[i] = (int)fx;
x_ymark[i] = (int)fy;
x_found[i] = x_ftolerance;
return i;
}
}
// post( "pix_opencv_contours_boundingrect : max markers reached" );
return -1;
}
/////////////////////////////////////////////////////////
// processImage
//
/////////////////////////////////////////////////////////
void pix_opencv_contours_boundingrect :: processRGBAImage(imageStruct &image)
{
unsigned char *pixels = image.data;
char tindex[4];
int im = 0; // Indicator of markers.
if ((this->comp_xsize!=image.xsize)||(this->comp_ysize!=image.ysize)||(!orig)) {
this->comp_xsize = image.xsize;
this->comp_ysize = image.ysize;
//Destroy cv_images to clean memory
cvReleaseImage(&orig);
cvReleaseImage(&gray);
cvReleaseImage(&cnt_img);
cvReleaseImage(&rgb);
//create the orig image with new size
orig = cvCreateImage(cvSize(image.xsize,image.ysize), IPL_DEPTH_8U, 4);
// Create the output images with new sizes
rgb = cvCreateImage(cvSize(orig->width,orig->height), IPL_DEPTH_8U, 3);
gray = cvCreateImage(cvSize(orig->width,orig->height), IPL_DEPTH_8U, 1);
cnt_img = cvCreateImage(cvSize(orig->width,orig->height), IPL_DEPTH_8U, 1);
}
// Here we make a copy of the pixel data from image to orig->imageData
// orig is a IplImage struct, the default image type in openCV, take a look on the IplImage data structure here
// http://www.cs.iit.edu/~agam/cs512/lect-notes/opencv-intro/opencv-intro.html
memcpy( orig->imageData, image.data, image.xsize*image.ysize*4 );
// Convert to grayscale
cvCvtColor(orig, gray, CV_RGBA2GRAY);
if ( x_nightmode )
{
cvZero( orig );
}
CvSeq* contours;
CvMemStorage* stor02;
stor02 = cvCreateMemStorage(0);
cvFindContours( gray, stor02, &contours, sizeof(CvContour), x_cmode, x_cmethod, cvPoint(0,0) );
if (contours) contours = cvApproxPoly( contours, sizeof(CvContour), stor02, CV_POLY_APPROX_DP, 3, 1 );
for ( im=0; im<MAX_MARKERS; im++ )
{
if ( x_xmark[im] != -1.0 )
{
x_found[im]--;
}
}
int i = 0; // Indicator of cycles.
for( ; contours != 0; contours = contours->h_next )
{
int count = contours->total; // This is number point in contour
CvRect rect;
int oi, found;
rect = cvContourBoundingRect( contours, 1);
if ( ( (rect.width*rect.height) > minarea ) && ( (rect.width*rect.height) < maxarea ) ) {
found = 0;
oi = -1;
for ( im=0; im<MAX_MARKERS; im++ )
{
// check if the object is already known
if ( ( abs( rect.x - x_xmark[im] ) < x_mmove ) && ( abs( rect.y - x_ymark[im] ) < x_mmove ) )
{
oi=im;
found=1;
x_found[im] = x_ftolerance;
x_xmark[im] = rect.x;
x_ymark[im] = rect.y;
break;
}
}
// new object detected
if ( !found )
{
oi = this->mark(rect.x, rect.y );
}
if ( x_draw )
{
cvRectangle( orig, cvPoint(rect.x,rect.y), cvPoint(rect.x+rect.width,rect.y+rect.height), CV_RGB(255,0,0), 2, 8 , 0 );
sprintf( tindex, "%d", oi );
cvPutText( orig, tindex, cvPoint(rect.x,rect.y), &font, CV_RGB(255,255,255));
}
if ( x_show )
{
cvDrawContours( orig, contours, CV_RGB(255,255,255), CV_RGB(255,255,255), 0, 1, 8, cvPoint(0,0) );
}
t_atom rlist[4];
SETFLOAT(&rlist[0], oi);
SETFLOAT(&rlist[1], rect.x);
SETFLOAT(&rlist[2], rect.y);
SETFLOAT(&rlist[3], rect.width);
SETFLOAT(&rlist[4], rect.height);
outlet_list( m_dataout, 0, 5, rlist );
i++;
}
outlet_float( m_countout, i );
}
// delete lost objects
for ( im=0; im<MAX_MARKERS; im++ )
{
if ( x_found[im] < 0 )
{
x_xmark[im] = -1.0;
x_ymark[im] = -1,0;
x_found[im] = x_ftolerance;
}
}
cvReleaseMemStorage( &stor02 );
//copy back the processed frame to image
memcpy( image.data, orig->imageData, image.xsize*image.ysize*4 );
}
void pix_opencv_contours_boundingrect :: processRGBImage(imageStruct &image)
{
unsigned char *pixels = image.data;
char tindex[4];
int im = 0; // Indicator of markers.
if ((this->comp_xsize!=image.xsize)||(this->comp_ysize!=image.ysize)||(!rgb)) {
this->comp_xsize = image.xsize;
this->comp_ysize = image.ysize;
//Destroy cv_images to clean memory
cvReleaseImage(&orig);
cvReleaseImage(&gray);
cvReleaseImage(&cnt_img);
cvReleaseImage(&rgb);
//create the orig image with new size
rgb = cvCreateImage(cvSize(image.xsize,image.ysize), IPL_DEPTH_8U, 3);
gray = cvCreateImage(cvSize(rgb->width,rgb->height), IPL_DEPTH_8U, 1);
cnt_img = cvCreateImage(cvSize(rgb->width,rgb->height), IPL_DEPTH_8U, 1);
}
// FEM UNA COPIA DEL PACKET A image->imageData ... http://www.cs.iit.edu/~agam/cs512/lect-notes/opencv-intro/opencv-intro.html aqui veiem la estructura de IplImage
memcpy( rgb->imageData, image.data, image.xsize*image.ysize*3 );
// Convert to grayscale
cvCvtColor(rgb, gray, CV_RGB2GRAY);
if ( x_nightmode )
{
cvZero( rgb );
}
CvSeq* contours;
CvMemStorage* stor02;
stor02 = cvCreateMemStorage(0);
cvFindContours( gray, stor02, &contours, sizeof(CvContour), x_cmode, x_cmethod, cvPoint(0,0) );
if (contours) contours = cvApproxPoly( contours, sizeof(CvContour), stor02, CV_POLY_APPROX_DP, 3, 1 );
for ( im=0; im<MAX_MARKERS; im++ )
{
if ( x_xmark[im] != -1.0 )
{
x_found[im]--;
}
}
int i = 0; // Indicator of cycles.
for( ; contours != 0; contours = contours->h_next )
{
int count = contours->total; // This is number point in contour
CvRect rect;
int oi, found;
rect = cvContourBoundingRect( contours, 1);
if ( ( (rect.width*rect.height) > minarea ) && ( (rect.width*rect.height) < maxarea ) ) {
found = 0;
oi = -1;
for ( im=0; im<MAX_MARKERS; im++ )
{
// check if the object is already known
if ( ( abs( rect.x - x_xmark[im] ) < x_mmove ) && ( abs( rect.y - x_ymark[im] ) < x_mmove ) )
{
oi=im;
found=1;
x_found[im] = x_ftolerance;
x_xmark[im] = rect.x;
x_ymark[im] = rect.y;
break;
}
}
// new object detected
if ( !found )
{
oi = this->mark(rect.x, rect.y );
}
if ( x_draw )
{
cvRectangle( rgb, cvPoint(rect.x,rect.y), cvPoint(rect.x+rect.width,rect.y+rect.height), CV_RGB(255,0,0), 2, 8 , 0 );
sprintf( tindex, "%d", oi );
cvPutText( rgb, tindex, cvPoint(rect.x,rect.y), &font, CV_RGB(255,255,255));
}
if ( x_show )
{
cvDrawContours( rgb, contours, CV_RGB(255,255,255), CV_RGB(255,255,255), 0, 1, 8, cvPoint(0,0) );
}
t_atom rlist[4];
SETFLOAT(&rlist[0], oi);
SETFLOAT(&rlist[1], rect.x);
SETFLOAT(&rlist[2], rect.y);
SETFLOAT(&rlist[3], rect.width);
SETFLOAT(&rlist[4], rect.height);
outlet_list( m_dataout, 0, 5, rlist );
i++;
}
outlet_float( m_countout, i );
}
// delete lost objects
for ( im=0; im<MAX_MARKERS; im++ )
{
if ( x_found[im] < 0 )
{
x_xmark[im] = -1.0;
x_ymark[im] = -1,0;
x_found[im] = x_ftolerance;
}
}
cvReleaseMemStorage( &stor02 );
memcpy( image.data, rgb->imageData, image.xsize*image.ysize*3 );
}
void pix_opencv_contours_boundingrect :: processYUVImage(imageStruct &image)
{
post( "pix_opencv_contours_boundingrect : yuv format not supported" );
}
void pix_opencv_contours_boundingrect :: processGrayImage(imageStruct &image)
{
char tindex[4];
int im = 0; // Indicator of markers.
if ((this->comp_xsize!=image.xsize)||(this->comp_ysize!=image.ysize)||(!orig)) {
this->comp_xsize = image.xsize;
this->comp_ysize = image.ysize;
//Destroy cv_images to clean memory
cvReleaseImage(&orig);
cvReleaseImage(&gray);
cvReleaseImage(&cnt_img);
cvReleaseImage(&rgb);
//create the orig image with new size
orig = cvCreateImage(cvSize(image.xsize,image.ysize), IPL_DEPTH_8U, 4);
// Create the output images with new sizes
rgb = cvCreateImage(cvSize(orig->width,orig->height), IPL_DEPTH_8U, 3);
gray = cvCreateImage(cvSize(orig->width,orig->height), IPL_DEPTH_8U, 1);
cnt_img = cvCreateImage(cvSize(orig->width,orig->height), IPL_DEPTH_8U, 1);
}
// Here we make a copy of the pixel data from image to orig->imageData
// orig is a IplImage struct, the default image type in openCV, take a look on the IplImage data structure here
// http://www.cs.iit.edu/~agam/cs512/lect-notes/opencv-intro/opencv-intro.html
memcpy( gray->imageData, image.data, image.xsize*image.ysize );
memcpy( cnt_img->imageData, image.data, image.xsize*image.ysize );
if ( x_nightmode )
{
cvZero( cnt_img );
}
CvSeq* contours;
CvMemStorage* stor02;
stor02 = cvCreateMemStorage(0);
cvFindContours( gray, stor02, &contours, sizeof(CvContour), x_cmode, x_cmethod, cvPoint(0,0) );
if (contours) contours = cvApproxPoly( contours, sizeof(CvContour), stor02, CV_POLY_APPROX_DP, 3, 1 );
for ( im=0; im<MAX_MARKERS; im++ )
{
if ( x_xmark[im] != -1.0 )
{
x_found[im]--;
}
}
int i = 0; // Indicator of cycles.
for( ; contours != 0; contours = contours->h_next )
{
int count = contours->total; // This is number point in contour
CvRect rect;
int oi, found;
rect = cvContourBoundingRect( contours, 1);
if ( ( (rect.width*rect.height) > minarea ) && ( (rect.width*rect.height) < maxarea ) ) {
found = 0;
oi = -1;
for ( im=0; im<MAX_MARKERS; im++ )
{
// check if the object is already known
if ( ( abs( rect.x - x_xmark[im] ) < x_mmove ) && ( abs( rect.y - x_ymark[im] ) < x_mmove ) )
{
oi=im;
found=1;
x_found[im] = x_ftolerance;
x_xmark[im] = rect.x;
x_ymark[im] = rect.y;
break;
}
}
// new object detected
if ( !found )
{
oi = this->mark(rect.x, rect.y );
}
if ( x_draw )
{
cvRectangle( cnt_img, cvPoint(rect.x,rect.y), cvPoint(rect.x+rect.width,rect.y+rect.height), cvScalarAll(255), 2, 8 , 0 );
sprintf( tindex, "%d", oi );
cvPutText( cnt_img, tindex, cvPoint(rect.x,rect.y), &font, cvScalarAll(255));
}
if ( x_show )
{
cvDrawContours( cnt_img, contours, CV_RGB(255,255,255), CV_RGB(255,255,255), 0, 1, 8, cvPoint(0,0) );
}
t_atom rlist[4];
SETFLOAT(&rlist[0], oi);
SETFLOAT(&rlist[1], rect.x);
SETFLOAT(&rlist[2], rect.y);
SETFLOAT(&rlist[3], rect.width);
SETFLOAT(&rlist[4], rect.height);
outlet_list( m_dataout, 0, 5, rlist );
i++;
}
outlet_float( m_countout, i );
}
// delete lost objects
for ( im=0; im<MAX_MARKERS; im++ )
{
if ( x_found[im] < 0 )
{
x_xmark[im] = -1.0;
x_ymark[im] = -1,0;
x_found[im] = x_ftolerance;
}
}
cvReleaseMemStorage( &stor02 );
//copy back the processed frame to image
memcpy( image.data, cnt_img->imageData, image.xsize*image.ysize );
}
/////////////////////////////////////////////////////////
// floatThreshMess
//
/////////////////////////////////////////////////////////
void pix_opencv_contours_boundingrect :: floatMinAreaMess (float minarea)
{
if (minarea>0) this->minarea = (int)minarea;
}
void pix_opencv_contours_boundingrect :: floatMaxAreaMess (float maxarea)
{
if (maxarea>0) this->maxarea = (int)maxarea;
}
void pix_opencv_contours_boundingrect :: floatFToleranceMess (float ftolerance)
{
if ((int)ftolerance>=1) x_ftolerance = (int)ftolerance;
}
void pix_opencv_contours_boundingrect :: floatMMoveMess (float mmove)
{
if ((int)mmove>=1) x_mmove = (int)mmove;
}
void pix_opencv_contours_boundingrect :: floatCModeMess (float cmode)
{
// CV_RETR_EXTERNAL || CV_RETR_LIST || CV_RETR_CCOMP || CV_RETR_TREE
int mode = (int)cmode;
if ( mode == CV_RETR_EXTERNAL )
{
x_cmode = CV_RETR_EXTERNAL;
post( "pix_opencv_contours_boundingrect : mode set to CV_RETR_EXTERNAL" );
}
if ( mode == CV_RETR_LIST )
{
x_cmode = CV_RETR_LIST;
post( "pix_opencv_contours_boundingrect : mode set to CV_RETR_LIST" );
}
if ( mode == CV_RETR_CCOMP )
{
x_cmode = CV_RETR_CCOMP;
post( "pix_opencv_contours_boundingrect : mode set to CV_RETR_CCOMP" );
}
if ( mode == CV_RETR_TREE )
{
x_cmode = CV_RETR_TREE;
post( "pix_opencv_contours_boundingrect : mode set to CV_RETR_TREE" );
}
}
void pix_opencv_contours_boundingrect :: floatCMethodMess (float cmethod)
{
int method = (int)cmethod;
// CV_CHAIN_CODE || CV_CHAIN_APPROX_NONE || CV_CHAIN_APPROX_SIMPLE || CV_CHAIN_APPROX_TC89_L1 || CV_CHAIN_APPROX_TC89_KCOS || CV_LINK_RUNS
if ( method == CV_CHAIN_CODE )
{
post( "pix_opencv_contours_boundingrect : not supported method : CV_CHAIN_CODE" );
}
if ( method == CV_CHAIN_APPROX_NONE )
{
x_cmethod = CV_CHAIN_APPROX_NONE;
post( "pix_opencv_contours_boundingrect : method set to CV_CHAIN_APPROX_NONE" );
}
if ( method == CV_CHAIN_APPROX_SIMPLE )
{
x_cmethod = CV_CHAIN_APPROX_SIMPLE;
post( "pix_opencv_contours_boundingrect : method set to CV_CHAIN_APPROX_SIMPLE" );
}
if ( method == CV_CHAIN_APPROX_TC89_L1 )
{
x_cmethod = CV_CHAIN_APPROX_TC89_L1;
post( "pix_opencv_contours_boundingrect : method set to CV_CHAIN_APPROX_TC89_L1" );
}
if ( method == CV_CHAIN_APPROX_TC89_KCOS )
{
x_cmethod = CV_CHAIN_APPROX_TC89_KCOS;
post( "pix_opencv_contours_boundingrect : method set to CV_CHAIN_APPROX_TC89_KCOS" );
}
if ( ( method == CV_LINK_RUNS ) && ( x_cmode == CV_RETR_LIST ) )
{
x_cmethod = CV_LINK_RUNS;
post( "pix_opencv_contours_boundingrect : method set to CV_LINK_RUNS" );
}
}
void pix_opencv_contours_boundingrect :: deleteMark(t_floatarg findex )
{
int i;
if ( ( findex < 1.0 ) || ( findex > MAX_MARKERS ) )
{
return;
}
x_xmark[(int)findex-1] = -1;
x_ymark[(int)findex-1] = -1;
}
void pix_opencv_contours_boundingrect :: floatClearMess (void)
{
int i;
for ( i=0; i<MAX_MARKERS; i++)
{
x_xmark[i] = -1;
x_ymark[i] = -1;
x_found[i] = x_ftolerance;
}
}
void pix_opencv_contours_boundingrect :: floatNightmodeMess (float nightmode)
{
if ( ((int)nightmode==1) || ((int)nightmode==0) ) x_nightmode = (int)nightmode;
}
void pix_opencv_contours_boundingrect :: floatShowMess (float show)
{
if ( ((int)show==1) || ((int)show==0) ) x_show = (int)show;
}
void pix_opencv_contours_boundingrect :: floatDrawMess (float draw)
{
if ( ((int)draw==1) || ((int)draw==0) ) x_draw = (int)draw;
}
/////////////////////////////////////////////////////////
// static member function
//
/////////////////////////////////////////////////////////
void pix_opencv_contours_boundingrect :: obj_setupCallback(t_class *classPtr)
{
class_addmethod(classPtr, (t_method)&pix_opencv_contours_boundingrect::floatMinAreaMessCallback,
gensym("minarea"), A_FLOAT, A_NULL);
class_addmethod(classPtr, (t_method)&pix_opencv_contours_boundingrect::floatMaxAreaMessCallback,
gensym("maxarea"), A_FLOAT, A_NULL);
class_addmethod(classPtr, (t_method)&pix_opencv_contours_boundingrect::floatFToleranceMessCallback,
gensym("ftolerance"), A_FLOAT, A_NULL);
class_addmethod(classPtr, (t_method)&pix_opencv_contours_boundingrect::floatMMoveMessCallback,
gensym("maxmove"), A_FLOAT, A_NULL);
class_addmethod(classPtr, (t_method)&pix_opencv_contours_boundingrect::floatCModeMessCallback,
gensym("mode"), A_FLOAT, A_NULL);
class_addmethod(classPtr, (t_method)&pix_opencv_contours_boundingrect::floatCMethodMessCallback,
gensym("method"), A_FLOAT, A_NULL);
class_addmethod(classPtr, (t_method)&pix_opencv_contours_boundingrect::floatClearMessCallback,
gensym("clear"), A_NULL);
class_addmethod(classPtr, (t_method)&pix_opencv_contours_boundingrect::floatNightmodeMessCallback,
gensym("nightmode"), A_FLOAT, A_NULL);
class_addmethod(classPtr, (t_method)&pix_opencv_contours_boundingrect::floatShowMessCallback,
gensym("show"), A_FLOAT, A_NULL);
class_addmethod(classPtr, (t_method)&pix_opencv_contours_boundingrect::floatDrawMessCallback,
gensym("draw"), A_FLOAT, A_NULL);
}
void pix_opencv_contours_boundingrect :: floatMaxAreaMessCallback(void *data, t_floatarg maxarea)
{
GetMyClass(data)->floatMaxAreaMess((float)maxarea);
}
void pix_opencv_contours_boundingrect :: floatMinAreaMessCallback(void *data, t_floatarg minarea)
{
GetMyClass(data)->floatMinAreaMess((float)minarea);
}
void pix_opencv_contours_boundingrect :: floatFToleranceMessCallback(void *data, t_floatarg ftolerance)
{
GetMyClass(data)->floatFToleranceMess((float)ftolerance);
}
void pix_opencv_contours_boundingrect :: floatMMoveMessCallback(void *data, t_floatarg mmove)
{
GetMyClass(data)->floatMMoveMess((float)mmove);
}
void pix_opencv_contours_boundingrect :: floatCModeMessCallback(void *data, t_floatarg cmode)
{
GetMyClass(data)->floatCModeMess((float)cmode);
}
void pix_opencv_contours_boundingrect :: floatCMethodMessCallback(void *data, t_floatarg cmethod)
{
GetMyClass(data)->floatCMethodMess((float)cmethod);
}
void pix_opencv_contours_boundingrect :: floatClearMessCallback(void *data)
{
GetMyClass(data)->floatClearMess();
}
void pix_opencv_contours_boundingrect :: floatNightmodeMessCallback(void *data, t_floatarg nightmode)
{
GetMyClass(data)->floatNightmodeMess(nightmode);
}
void pix_opencv_contours_boundingrect :: floatShowMessCallback(void *data, t_floatarg show)
{
GetMyClass(data)->floatShowMess(show);
}
void pix_opencv_contours_boundingrect :: floatDrawMessCallback(void *data, t_floatarg draw)
{
GetMyClass(data)->floatDrawMess(draw);
}
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