From ba994f4404b6eadcab4e0ead46ef4d3ffeceb024 Mon Sep 17 00:00:00 2001 From: Antoine Villeret Date: Thu, 10 Jul 2014 14:39:22 +0000 Subject: lots of changes ! 1. switch to a new build system based on automake (because we need to check for some lib on ./configure before make) 2. sort files in different directory 3. add some new features (some of them need OpenCV >= 2.4.5) svn path=/trunk/externals/pix_opencv/; revision=17324 --- pix_opencv_knear.cc | 494 ---------------------------------------------------- 1 file changed, 494 deletions(-) delete mode 100644 pix_opencv_knear.cc (limited to 'pix_opencv_knear.cc') diff --git a/pix_opencv_knear.cc b/pix_opencv_knear.cc deleted file mode 100644 index 76944dd..0000000 --- a/pix_opencv_knear.cc +++ /dev/null @@ -1,494 +0,0 @@ -//////////////////////////////////////////////////////// -// -// 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_knear.h" - -#include - -CPPEXTERN_NEW_WITH_TWO_ARGS(pix_opencv_knear, t_symbol *, A_DEFSYM, t_floatarg, A_DEFFLOAT ) - -///////////////////////////////////////////////////////// -// -// pix_opencv_knear -// -///////////////////////////////////////////////////////// - -///////////////////////////////////////////////////////// -// -// Find the min box. The min box respect original aspect ratio image -// The image is a binary data and background is white. -// -///////////////////////////////////////////////////////// - - -void pix_opencv_knear :: findX(IplImage* imgSrc,int* min, int* max) -{ - int i; - int minFound=0; - CvMat data; - CvScalar maxVal=cvRealScalar(imgSrc->width * 255); - CvScalar val=cvRealScalar(0); - - // for each col sum, if sum < width*255 then we find the min - // then continue to end to search the max, if sum< width*255 then is new max - for (i=0; i< imgSrc->width; i++) - { - cvGetCol(imgSrc, &data, i); - val= cvSum(&data); - if(val.val[0] < maxVal.val[0]) - { - *max= i; - if(!minFound) - { - *min= i; - minFound= 1; - } - } - - } -} - -void pix_opencv_knear :: findY(IplImage* imgSrc,int* min, int* max) -{ - int i; - int minFound=0; - CvMat data; - CvScalar maxVal=cvRealScalar(imgSrc->width * 255); - CvScalar val=cvRealScalar(0); - - // for each col sum, if sum < width*255 then we find the min - // then continue to end to search the max, if sum< width*255 then is new max - for (i=0; i< imgSrc->height; i++) - { - cvGetRow(imgSrc, &data, i); - val= cvSum(&data); - if(val.val[0] < maxVal.val[0]) - { - *max=i; - if(!minFound) - { - *min= i; - minFound= 1; - } - } - } -} - -///////////////////////////////////////////////////////// -// -// Find the bounding box. -// -// -///////////////////////////////////////////////////////// - -CvRect pix_opencv_knear :: findBB(IplImage* imgSrc) -{ - CvRect aux; - int xmin, xmax, ymin, ymax; - xmin=xmax=ymin=ymax=0; - - this->findX(imgSrc, &xmin, &xmax); - this->findY(imgSrc, &ymin, &ymax); - - aux=cvRect(xmin, ymin, xmax-xmin, ymax-ymin); - - return aux; -} - -IplImage pix_opencv_knear :: preprocessing(IplImage* imgSrc,int new_width, int new_height) -{ - IplImage* result; - IplImage* scaledResult; - - CvMat data; - CvMat dataA; - CvRect bb;//bounding box - CvRect bba;//boundinb box maintain aspect ratio - - // find bounding box - bb=this->findBB(imgSrc); - - if ( ( bb.width == 0 ) || ( bb.height == 0 ) ) - { - bb.x = 0; - bb.y = 0; - bb.width = imgSrc->width; - bb.height = imgSrc->height; - } - - // get bounding box data and no with aspect ratio, the x and y can be corrupted - cvGetSubRect(imgSrc, &data, cvRect(bb.x, bb.y, bb.width, bb.height)); - // create image with this data with width and height with aspect ratio 1 - // then we get highest size betwen width and height of our bounding box - int size=(bb.width>bb.height)?bb.width:bb.height; - result=cvCreateImage( cvSize( size, size ), 8, 1 ); - cvSet(result,CV_RGB(255,255,255),NULL); - // copy de data in center of image - int x=(int)floor((float)(size-bb.width)/2.0f); - int y=(int)floor((float)(size-bb.height)/2.0f); - cvGetSubRect(result, &dataA, cvRect(x,y,bb.width, bb.height)); - cvCopy(&data, &dataA, NULL); - // scale result - scaledResult=cvCreateImage( cvSize( new_width, new_height ), 8, 1 ); - cvResize(result, scaledResult, CV_INTER_NN); - - // return processed data - return *scaledResult; - -} - -void pix_opencv_knear :: load_patterns(void) -{ - IplImage* src_image; - IplImage prs_image; - CvMat row,data; - char file[255]; - int i=0,j; - CvMat row_header, *row1; - - this->x_rsamples = 0; - - for( j = 0; j< this->x_nsamples; j++) - { - - // load file - sprintf(file,"%s/%03d.png",this->x_filepath, j); - src_image = cvLoadImage(file,0); - if(!src_image) - { - post("pix_opencv_knear : error: couldn't load image %s\n", file); - continue; - } - if ( ( this->x_pwidth == -1 ) || ( this->x_pheight == -1 ) ) - { - this->x_pwidth = src_image->width; - this->x_pheight = src_image->height; - // post( "pix_opencv_knear : loaded : %s (%dx%d)", file, src_image->width, src_image->height); - this->x_rsamples++; - } - else if ( ( src_image->width != this->x_pwidth ) || ( src_image->height != this->x_pheight ) ) - { - post( "pix_opencv_knear : error : %s (%dx%d) : wrong size ( should be %dx%d )", file, src_image->width, src_image->height, this->x_pwidth, this->x_pheight); - continue; - } - else - { - // post( "pix_opencv_knear : loaded : %s (%dx%d)", file, src_image->width, src_image->height); - this->x_rsamples++; - } - - // process file - prs_image = this->preprocessing(src_image, this->x_pwidth, this->x_pheight); - // post( "pix_opencv_knear : preprocessed : %s (%dx%d)", file, this->x_pwidth, this->x_pheight); - - if ( ( this->trainData == NULL ) || ( this->trainClasses == NULL )) - { - this->trainData = cvCreateMat(this->x_nsamples, this->x_pwidth*this->x_pheight, CV_32FC1); - this->trainClasses = cvCreateMat(this->x_nsamples, 1, CV_32FC1); - } - - // set class label - cvGetRow(this->trainClasses, &row, j); - cvSet(&row, cvRealScalar(i), NULL); - // set data - cvGetRow(this->trainData, &row, j); - - IplImage* img = cvCreateImage( cvSize( this->x_pwidth, this->x_pheight ), IPL_DEPTH_32F, 1 ); - // convert 8 bits image to 32 float image - cvConvertScale(&prs_image, img, 0.0039215, 0); - - cvGetSubRect(img, &data, cvRect( 0, 0, this->x_pwidth, this->x_pheight) ); - - // convert data matrix sizexsize to vecor - row1 = cvReshape( &data, &row_header, 0, 1 ); - cvCopy(row1, &row, NULL); - cvReleaseImage( &img ); - } - - // create the classifier - post( "pix_opencv_knear : loaded : %d samples from %s", this->x_rsamples, this->x_filepath); - if ( this->x_rsamples == this->x_nsamples ) - { - this->knn=new CvKNearest( this->trainData, this->trainClasses, 0, false, this->x_nsamples ); - this->x_nearest=cvCreateMat(1,this->x_nsamples,CV_32FC1); - this->x_dist=cvCreateMat(1,this->x_nsamples,CV_32FC1); - } -} - - -///////////////////////////////////////////////////////// -// Constructor -// -///////////////////////////////////////////////////////// -pix_opencv_knear :: pix_opencv_knear(t_symbol *path, t_floatarg nsamples) -{ - m_dataout = outlet_new(this->x_obj, &s_anything); - - comp_xsize = 320; - comp_ysize = 240; - - rgba = cvCreateImage( cvSize(comp_xsize, comp_ysize), 8, 4 ); - rgb = cvCreateImage( cvSize(comp_xsize, comp_ysize), 8, 3 ); - grey = cvCreateImage( cvSize(comp_xsize, comp_ysize), 8, 1 ); - - x_filepath = ( char * ) getbytes( 1024 ); - sprintf( x_filepath, path->s_name ); - x_nsamples = (int)nsamples; - - x_classify = 0; - x_pwidth = -1; - x_pheight = -1; - - trainData = NULL; - trainClasses = NULL; - - this->load_patterns(); - -} - -///////////////////////////////////////////////////////// -// Destructor -// -///////////////////////////////////////////////////////// -pix_opencv_knear :: ~pix_opencv_knear() -{ - // destroy cv structures - cvReleaseImage( &rgba ); - cvReleaseImage( &rgb ); - cvReleaseImage( &grey ); - cvReleaseMat( &trainData ); - cvReleaseMat( &trainClasses ); - -} - -///////////////////////////////////////////////////////// -// processImage -// -///////////////////////////////////////////////////////// -void pix_opencv_knear :: processRGBAImage(imageStruct &image) -{ - int i; - - if ((this->comp_xsize!=image.xsize)&&(this->comp_ysize!=image.ysize)) - { - - this->comp_xsize = image.xsize; - this->comp_ysize = image.ysize; - - // destroy cv_images to clean memory - cvReleaseImage( &rgba ); - cvReleaseImage( &rgb ); - cvReleaseImage( &grey ); - - // create cv_images - this->rgba = cvCreateImage( cvSize(comp_xsize, comp_ysize), 8, 4 ); - this->rgb = cvCreateImage( cvSize(comp_xsize, comp_ysize), 8, 3 ); - this->grey = cvCreateImage( cvSize(comp_xsize, comp_ysize), 8, 1 ); - - } - - memcpy( rgba->imageData, image.data, image.xsize*image.ysize*4 ); - cvCvtColor(rgba, grey, CV_BGRA2GRAY); - - if ( this->x_classify ) - { - IplImage prs_image; - float result; - CvMat row_header, *row1, odata; - - // post( "pix_opencv_knear : size : (%dx%d)", this->x_pwidth, this->x_pheight); - - // process file - prs_image = this->preprocessing(this->grey, this->x_pwidth, this->x_pheight); - - //Set data - IplImage* img32 = cvCreateImage( cvSize( this->x_pwidth, this->x_pheight ), IPL_DEPTH_32F, 1 ); - cvConvertScale(&prs_image, img32, 0.0039215, 0); - cvGetSubRect(img32, &odata, cvRect(0,0, this->x_pwidth, this->x_pheight)); - row1 = cvReshape( &odata, &row_header, 0, 1 ); - - result=this->knn->find_nearest(row1,this->x_nsamples,0,0,this->x_nearest,this->x_dist); - for ( i=0; ix_nsamples; i++ ) - { - // post( "pix_opencv_knear : distance : %f", this->x_dist->data.fl[i] ); - } - outlet_float(this->m_dataout, this->x_dist->data.fl[0]); - - cvReleaseImage( &img32 ); - this->x_classify = 0; - } - - memcpy( image.data, rgba->imageData, image.xsize*image.ysize*4 ); -} - -void pix_opencv_knear :: processRGBImage(imageStruct &image) -{ - int i; - - if ((this->comp_xsize!=image.xsize)&&(this->comp_ysize!=image.ysize)) - { - - this->comp_xsize = image.xsize; - this->comp_ysize = image.ysize; - - // destroy cv_images to clean memory - cvReleaseImage( &rgba ); - cvReleaseImage( &rgb ); - cvReleaseImage( &grey ); - - // create cv_images - this->rgba = cvCreateImage( cvSize(comp_xsize, comp_ysize), 8, 4 ); - this->rgb = cvCreateImage( cvSize(comp_xsize, comp_ysize), 8, 3 ); - this->grey = cvCreateImage( cvSize(comp_xsize, comp_ysize), 8, 1 ); - - } - - memcpy( rgb->imageData, image.data, image.xsize*image.ysize*3 ); - cvCvtColor(rgb, grey, CV_BGR2GRAY); - - if ( this->x_classify ) - { - IplImage prs_image; - float result; - CvMat row_header, *row1, odata; - - // post( "pix_opencv_knear : size : (%dx%d)", this->x_pwidth, this->x_pheight); - - // process file - prs_image = this->preprocessing(this->grey, this->x_pwidth, this->x_pheight); - - //Set data - IplImage* img32 = cvCreateImage( cvSize( this->x_pwidth, this->x_pheight ), IPL_DEPTH_32F, 1 ); - cvConvertScale(&prs_image, img32, 0.0039215, 0); - cvGetSubRect(img32, &odata, cvRect(0,0, this->x_pwidth, this->x_pheight)); - row1 = cvReshape( &odata, &row_header, 0, 1 ); - - result=this->knn->find_nearest(row1,this->x_nsamples,0,0,this->x_nearest,this->x_dist); - for ( i=0; ix_nsamples; i++ ) - { - // post( "pix_opencv_knear : distance : %f", this->x_dist->data.fl[i] ); - } - outlet_float(this->m_dataout, this->x_dist->data.fl[0]); - - cvReleaseImage( &img32 ); - this->x_classify = 0; - } - - memcpy( image.data, rgb->imageData, image.xsize*image.ysize*3 ); -} - -void pix_opencv_knear :: processYUVImage(imageStruct &image) -{ - post( "pix_opencv_knear : yuv format not supported" ); -} - -void pix_opencv_knear :: processGrayImage(imageStruct &image) -{ - int i; - - if ((this->comp_xsize!=image.xsize)&&(this->comp_ysize!=image.ysize)) - { - - this->comp_xsize = image.xsize; - this->comp_ysize = image.ysize; - - // destroy cv_images to clean memory - cvReleaseImage( &rgba ); - cvReleaseImage( &rgb ); - cvReleaseImage( &grey ); - - // create cv_images - this->rgba = cvCreateImage( cvSize(comp_xsize, comp_ysize), 8, 4 ); - this->rgb = cvCreateImage( cvSize(comp_xsize, comp_ysize), 8, 3 ); - this->grey = cvCreateImage( cvSize(comp_xsize, comp_ysize), 8, 1 ); - - } - - memcpy( grey->imageData, image.data, image.xsize*image.ysize*1 ); - - if ( this->x_classify ) - { - IplImage prs_image; - float result; - CvMat row_header, *row1, odata; - - // post( "pix_opencv_knear : size : (%dx%d)", this->x_pwidth, this->x_pheight); - - // process file - prs_image = this->preprocessing(this->grey, this->x_pwidth, this->x_pheight); - - //Set data - IplImage* img32 = cvCreateImage( cvSize( this->x_pwidth, this->x_pheight ), IPL_DEPTH_32F, 1 ); - cvConvertScale(&prs_image, img32, 0.0039215, 0); - cvGetSubRect(img32, &odata, cvRect(0,0, this->x_pwidth, this->x_pheight)); - row1 = cvReshape( &odata, &row_header, 0, 1 ); - - result=this->knn->find_nearest(row1,this->x_nsamples,0,0,this->x_nearest,this->x_dist); - for ( i=0; ix_nsamples; i++ ) - { - // post( "pix_opencv_knear : distance : %f", this->x_dist->data.fl[i] ); - } - outlet_float(this->m_dataout, this->x_dist->data.fl[0]); - - cvReleaseImage( &img32 ); - this->x_classify = 0; - } - - memcpy( image.data, grey->imageData, image.xsize*image.ysize*1 ); -} - -///////////////////////////////////////////////////////// -// static member function -// -///////////////////////////////////////////////////////// -void pix_opencv_knear :: obj_setupCallback(t_class *classPtr) -{ - class_addmethod(classPtr, (t_method)&pix_opencv_knear::bangMessCallback, - gensym("bang"), A_NULL); - class_addmethod(classPtr, (t_method)&pix_opencv_knear::loadMessCallback, - gensym("load"), A_SYMBOL, A_DEFFLOAT, A_NULL); -} - -void pix_opencv_knear :: bangMessCallback(void *data) -{ - if ( GetMyClass(data)->trainData == NULL ) - { - ::post( "pix_opencv_knear : no patterns loaded : cannot process" ); - return; - } - GetMyClass(data)->x_classify=1; -} - -void pix_opencv_knear :: loadMessCallback(void *data, t_symbol *path, t_floatarg nsamples) -{ - if ( (int) nsamples <= 0 ) - { - ::post( "pix_opencv_knear : wrong number of samples : %d", nsamples ); - return; - } - else - { - GetMyClass(data)->x_nsamples = (int)nsamples; - GetMyClass(data)->x_rsamples = 0; - cvReleaseMat( &GetMyClass(data)->trainData ); - cvReleaseMat( &GetMyClass(data)->trainClasses ); - GetMyClass(data)->trainData = NULL; - GetMyClass(data)->trainClasses = NULL; - } - strcpy( GetMyClass(data)->x_filepath, path->s_name ); - GetMyClass(data)->load_patterns(); -} -- cgit v1.2.1