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-rw-r--r--Makefile4
-rwxr-xr-xpdp_opencv_cvk-help.pd111
-rwxr-xr-xpdp_opencv_cvk.cc532
-rw-r--r--plus/000.pngbin0 -> 367 bytes
-rw-r--r--plus/001.pngbin0 -> 436 bytes
-rw-r--r--plus/002.pngbin0 -> 407 bytes
-rw-r--r--plus/003.pngbin0 -> 454 bytes
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-rw-r--r--plus/008.pngbin0 -> 373 bytes
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-rw-r--r--plus/010.pngbin0 -> 406 bytes
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53 files changed, 645 insertions, 2 deletions
diff --git a/Makefile b/Makefile
index a2246b7..0806f67 100644
--- a/Makefile
+++ b/Makefile
@@ -37,9 +37,9 @@ endif
.SUFFIXES = $(EXTENSION)
-SOURCES = pdp_opencv_threshold.c pdp_opencv_edge.c pdp_opencv_distrans.c pdp_opencv_laplace.c pdp_opencv_motempl.c pdp_opencv_morphology.c pdp_opencv_haarcascade.c pdp_opencv_contours_convexity.c pdp_opencv_contours_boundingrect.c pdp_opencv_bgsubstract.c pdp_opencv_lk.c pdp_opencv_floodfill.c pdp_opencv_histo.c pdp_opencv_dft.c
+SOURCES = pdp_opencv_threshold.c pdp_opencv_edge.c pdp_opencv_distrans.c pdp_opencv_laplace.c pdp_opencv_motempl.c pdp_opencv_morphology.c pdp_opencv_haarcascade.c pdp_opencv_contours_convexity.c pdp_opencv_contours_boundingrect.c pdp_opencv_bgsubstract.c pdp_opencv_lk.c pdp_opencv_floodfill.c pdp_opencv_histo.c pdp_opencv_dft.c pdp_opencv_cvk.cc
-all: $(SOURCES:.c=.$(EXTENSION))
+all: $(SOURCES:.c=.$(EXTENSION)) $(SOURCES:.cc=.$(EXTENSION))
%.$(EXTENSION): %.o
gcc $(LDFLAGS) -o $*.$(EXTENSION) $*.o $(LIBS)
diff --git a/pdp_opencv_cvk-help.pd b/pdp_opencv_cvk-help.pd
new file mode 100755
index 0000000..118284a
--- /dev/null
+++ b/pdp_opencv_cvk-help.pd
@@ -0,0 +1,111 @@
+#N canvas 257 49 833 785 10;
+#X obj -17 -54 cnv 15 700 350 empty empty empty 20 12 0 14 -260097
+-66577 0;
+#X obj 226 -30 tgl 15 0 empty empty empty 17 7 0 10 -262144 -1 -1 1
+1;
+#X obj 226 -4 metro 40;
+#X obj -15 303 cnv 15 621 300 empty empty empty 20 12 0 14 -258113
+-66577 0;
+#X obj 26 626 pdp_xv;
+#X msg 116 610 cursor 1;
+#X floatatom 163 456 10 0 0 0 - - -;
+#X obj 225 21 pdp_background;
+#X obj 223 190 pdp_xv;
+#X msg 273 189 cursor 1;
+#X msg 317 166 rgb 0 0 0;
+#X obj 449 166 loadbang;
+#X msg 110 375 bang;
+#X text -13 -110 pdp_opencv_cvk : OCR-like pattern recognition;
+#X text -13 -99 based on basic OCR with Open CV tutorial;
+#X text -13 -88 by damiles : http://blog.damiles.com/?p=93;
+#X text -13 -75 adapted to PD by Yves Degoyon ( ydegoyon@gmail.com
+);
+#X text 253 -32 Hand drawing input;
+#X msg 255 107 clear;
+#X obj 48 -6 openpanel;
+#X msg 29 -35 bang;
+#X obj 28 62 pdp_background;
+#X obj 30 139 pdp_imgloader;
+#X obj 28 39 metro 40;
+#X msg 47 18 load \$1 0 0;
+#X floatatom 123 64 5 0 0 0 - - -;
+#X obj 56 166 pdp_xv;
+#X obj 29 86 pdp_convert image/YCrCb/*;
+#X obj 3 11 tgl 15 0 empty empty empty 17 7 0 10 -262144 -1 -1 0 1
+;
+#X obj 28 109 pdp_scale 128 128;
+#X text 65 -35 Test with an image;
+#X text 235 457 Distance of the incoming symbol compared to the patterns
+;
+#X obj 29 226 pdp_binary;
+#X text 147 376 compare the incoming frame to the patterns;
+#X text 359 108 <-- clear the input and try again;
+#X obj 222 167 pdp_pen ------;
+#X obj 226 48 pdp_convert image/YCrCb/*;
+#X text 340 76 <-- this must be the same size as your patterns;
+#X obj 226 78 pdp_scale 128 128;
+#X obj 167 397 s pclear;
+#X obj 298 108 r pclear;
+#X obj 109 398 del 1000;
+#X msg 384 167 width 8;
+#N canvas 5 49 634 415 thingsidontwanttosee 0;
+#X msg 267 202 draw \$1 \$2;
+#X obj 358 202 unpack f f;
+#X obj 343 228 f;
+#X obj 370 228 f;
+#X msg 380 179 fill \$1 \$2;
+#X obj 342 248 pack f f;
+#X obj 227 179 route press drag release;
+#X obj 230 148 inlet;
+#X obj 258 274 outlet;
+#X connect 0 0 8 0;
+#X connect 1 0 2 1;
+#X connect 1 1 3 1;
+#X connect 2 0 5 0;
+#X connect 3 0 5 1;
+#X connect 4 0 8 0;
+#X connect 5 0 4 0;
+#X connect 6 0 1 0;
+#X connect 6 1 0 0;
+#X connect 7 0 6 0;
+#X restore 270 138 pd thingsidontwanttosee;
+#X text 421 137 <-- mouse events;
+#X obj 19 423 pdp_opencv_cvk plus 50;
+#X connect 1 0 2 0;
+#X connect 2 0 7 0;
+#X connect 5 0 4 0;
+#X connect 7 0 36 0;
+#X connect 8 0 43 0;
+#X connect 9 0 8 0;
+#X connect 10 0 35 0;
+#X connect 11 0 10 0;
+#X connect 11 0 42 0;
+#X connect 12 0 41 0;
+#X connect 12 0 45 0;
+#X connect 18 0 35 0;
+#X connect 19 0 24 0;
+#X connect 20 0 19 0;
+#X connect 20 0 23 0;
+#X connect 20 0 28 0;
+#X connect 21 0 27 0;
+#X connect 22 0 32 0;
+#X connect 22 0 26 0;
+#X connect 23 0 21 0;
+#X connect 24 0 22 0;
+#X connect 25 0 21 3;
+#X connect 27 0 29 0;
+#X connect 28 0 23 0;
+#X connect 29 0 22 0;
+#X connect 32 0 45 0;
+#X connect 35 0 8 0;
+#X connect 35 0 9 0;
+#X connect 35 0 32 0;
+#X connect 36 0 38 0;
+#X connect 38 0 35 0;
+#X connect 40 0 18 0;
+#X connect 41 0 39 0;
+#X connect 42 0 35 0;
+#X connect 43 0 35 0;
+#X connect 45 0 4 0;
+#X connect 45 0 5 0;
+#X connect 45 1 6 0;
diff --git a/pdp_opencv_cvk.cc b/pdp_opencv_cvk.cc
new file mode 100755
index 0000000..e75accd
--- /dev/null
+++ b/pdp_opencv_cvk.cc
@@ -0,0 +1,532 @@
+/*
+ * Pure Data Packet module.
+ * Copyright (c) by Tom Schouten <pdp@zzz.kotnet.org>
+ *
+ * This program is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program; if not, write to the Free Software
+ * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
+ *
+ *
+ * pdp_opencv_cvk : OCR like pattern recognition
+ * based on basic OCR with Open CV tutorial
+ * by damiles : http://blog.damiles.com/?p=93
+ *
+ *
+ */
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <dirent.h>
+#include <limits.h>
+#include <dlfcn.h>
+#include <ctype.h>
+
+#include "pdp.h"
+
+#include "cv.h"
+#include "highgui.h"
+#include "ml.h"
+
+#define MAX_MARKERS 10
+
+const int MAX_COUNT = 500;
+
+typedef struct pdp_opencv_cvk_struct
+{
+ t_object x_obj;
+ t_float x_f;
+
+ t_outlet *x_outlet0;
+ t_outlet *x_outlet1;
+
+ int x_packet0;
+ int x_packet1;
+ int x_dropped;
+ int x_queue_id;
+
+ int x_width;
+ int x_height;
+ int x_size;
+
+ int x_classify;
+ int x_ROIx;
+ int x_ROIy;
+ int x_ROIw;
+ int x_ROIh;
+
+ // The output and temporary images
+ IplImage *rgb, *grey;
+
+ // 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;
+
+} t_pdp_opencv_cvk;
+
+IplImage pdp_opencv_cvk_preprocessing(IplImage* imgSrc,int new_width, int new_height);
+
+static void pdp_opencv_cvk_process_rgb(t_pdp_opencv_cvk *x)
+{
+ t_pdp *header = pdp_packet_header(x->x_packet0);
+ short int *data = (short int *)pdp_packet_data(x->x_packet0);
+ t_pdp *newheader = pdp_packet_header(x->x_packet1);
+ short int *newdata = (short int *)pdp_packet_data(x->x_packet1);
+ int i,j,k,im;
+
+ if ((x->x_width != (t_int)header->info.image.width) ||
+ (x->x_height != (t_int)header->info.image.height))
+ {
+
+ post("pdp_opencv_cvk :: resizing");
+
+ x->x_width = header->info.image.width;
+ x->x_height = header->info.image.height;
+ x->x_size = x->x_width*x->x_height;
+ x->x_ROIx = 0;
+ x->x_ROIy = 0;
+ x->x_ROIw = header->info.image.width;
+ x->x_ROIh = header->info.image.height;
+
+ cvReleaseImage( &x->rgb );
+ cvReleaseImage( &x->grey );
+
+ // create cv_images
+ x->rgb = cvCreateImage( cvSize(x->x_width, x->x_height), 8, 3 );
+ x->grey = cvCreateImage( cvSize(x->x_width, x->x_height), 8, 1 );
+
+ }
+
+ newheader->info.image.encoding = header->info.image.encoding;
+ newheader->info.image.width = x->x_width;
+ newheader->info.image.height = x->x_height;
+
+ memcpy( x->rgb->imageData, data, x->x_size*3 );
+
+ cvCvtColor( x->rgb, x->grey, CV_BGR2GRAY );
+
+ if ( x->x_classify )
+ {
+ IplImage prs_image;
+ float result;
+ CvMat row_header, *row1, odata;
+
+ // post( "pdp_opencv_cvk : size : (%dx%d)", x->x_pwidth, x->x_pheight);
+
+ // process file
+ prs_image = pdp_opencv_cvk_preprocessing(x->grey, x->x_pwidth, x->x_pheight);
+
+ //Set data
+ IplImage* img32 = cvCreateImage( cvSize( x->x_pwidth, x->x_pheight ), IPL_DEPTH_32F, 1 );
+ cvConvertScale(&prs_image, img32, 0.0039215, 0);
+ cvGetSubRect(img32, &odata, cvRect(0,0, x->x_pwidth, x->x_pheight));
+ row1 = cvReshape( &odata, &row_header, 0, 1 );
+
+ result=x->knn->find_nearest(row1,x->x_nsamples,0,0,x->x_nearest,x->x_dist);
+ for ( i=0; i<x->x_nsamples; i++ )
+ {
+ // post( "pdp_opencv_cvk : distance : %f", x->x_dist->data.fl[i] );
+ }
+ outlet_float(x->x_outlet1, x->x_dist->data.fl[0]);
+
+ // cvReleaseImage( &img32 );
+ x->x_classify = 0;
+ }
+
+ memcpy( newdata, x->rgb->imageData, x->x_size*3 );
+ return;
+}
+
+static void pdp_opencv_cvk_sendpacket(t_pdp_opencv_cvk *x)
+{
+ /* release the packet */
+ pdp_packet_mark_unused(x->x_packet0);
+ x->x_packet0 = -1;
+
+ /* unregister and propagate if valid dest packet */
+ pdp_packet_pass_if_valid(x->x_outlet0, &x->x_packet1);
+}
+
+static void pdp_opencv_cvk_process(t_pdp_opencv_cvk *x)
+{
+ int encoding;
+ t_pdp *header = 0;
+ char *parname;
+ unsigned pi;
+ int partype;
+ float pardefault;
+ t_atom plist[2];
+ t_atom tlist[2];
+ t_atom vlist[2];
+
+ /* check if image data packets are compatible */
+ if ( (header = pdp_packet_header(x->x_packet0))
+ && (PDP_BITMAP == header->type)){
+
+ /* pdp_opencv_cvk_process inputs and write into active inlet */
+ switch(pdp_packet_header(x->x_packet0)->info.image.encoding){
+
+ case PDP_BITMAP_RGB:
+ x->x_packet1 = pdp_packet_clone_rw(x->x_packet0);
+ pdp_queue_add(x, (void*)pdp_opencv_cvk_process_rgb, (void*)pdp_opencv_cvk_sendpacket, &x->x_queue_id);
+ break;
+
+ default:
+ /* don't know the type, so dont pdp_opencv_cvk_process */
+ break;
+
+ }
+ }
+
+}
+
+static void pdp_opencv_cvk_input_0(t_pdp_opencv_cvk *x, t_symbol *s, t_floatarg f)
+{
+ /* if this is a register_ro message or register_rw message, register with packet factory */
+
+ if (s == gensym("register_rw"))
+ x->x_dropped = pdp_packet_convert_ro_or_drop(&x->x_packet0, (int)f, pdp_gensym("bitmap/rgb/*") );
+
+ if ((s == gensym("process")) && (-1 != x->x_packet0) && (!x->x_dropped))
+ {
+ /* add the process method and callback to the process queue */
+ pdp_opencv_cvk_process(x);
+ }
+}
+
+static void pdp_opencv_cvk_free(t_pdp_opencv_cvk *x)
+{
+ int i;
+
+ pdp_queue_finish(x->x_queue_id);
+ pdp_packet_mark_unused(x->x_packet0);
+
+ // destroy cv_images
+ cvReleaseImage( &x->rgb );
+ cvReleaseImage( &x->grey );
+
+}
+
+t_class *pdp_opencv_cvk_class;
+
+//
+//
+// Find the min box. The min box respect original aspect ratio image
+// The image is a binary data and background is white.
+//
+//
+
+
+void pdp_opencv_cvk_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 pdp_opencv_cvk_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 pdp_opencv_cvk_findBB(IplImage* imgSrc)
+{
+ CvRect aux;
+ int xmin, xmax, ymin, ymax;
+ xmin=xmax=ymin=ymax=0;
+
+ pdp_opencv_cvk_findX(imgSrc, &xmin, &xmax);
+ pdp_opencv_cvk_findY(imgSrc, &ymin, &ymax);
+
+ aux=cvRect(xmin, ymin, xmax-xmin, ymax-ymin);
+
+ return aux;
+}
+
+IplImage pdp_opencv_cvk_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=pdp_opencv_cvk_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 pdp_opencv_cvk_load(t_pdp_opencv_cvk *x)
+{
+ IplImage* src_image;
+ IplImage prs_image;
+ CvMat row,data;
+ char file[255];
+ int i=0,j;
+ CvMat row_header, *row1;
+
+ x->x_rsamples = 0;
+
+ for( j = 0; j< x->x_nsamples; j++)
+ {
+
+ // load file
+ sprintf(file,"%s/%03d.png",x->x_filepath, j);
+ src_image = cvLoadImage(file,0);
+ if(!src_image)
+ {
+ post("pdp_opencv_cvk : error: couldn't load image %s\n", file);
+ continue;
+ }
+ if ( ( x->x_pwidth == -1 ) || ( x->x_pheight == -1 ) )
+ {
+ x->x_pwidth = src_image->width;
+ x->x_pheight = src_image->height;
+ // post( "pdp_opencv_cvk : loaded : %s (%dx%d)", file, src_image->width, src_image->height);
+ x->x_rsamples++;
+ }
+ else if ( ( src_image->width != x->x_pwidth ) || ( src_image->height != x->x_pheight ) )
+ {
+ post( "pdp_opencv_cvk : error : %s (%dx%d) : wrong size ( should be %dx%d )", file, src_image->width, src_image->height, x->x_pwidth, x->x_pheight);
+ continue;
+ }
+ else
+ {
+ // post( "pdp_opencv_cvk : loaded : %s (%dx%d)", file, src_image->width, src_image->height);
+ x->x_rsamples++;
+ }
+
+ // process file
+ prs_image = pdp_opencv_cvk_preprocessing(src_image, x->x_pwidth, x->x_pheight);
+ // post( "pdp_opencv_cvk : preprocessed : %s (%dx%d)", file, x->x_pwidth, x->x_pheight);
+
+ if ( ( x->trainData == NULL ) || ( x->trainClasses == NULL ))
+ {
+ x->trainData = cvCreateMat(x->x_nsamples, x->x_pwidth*x->x_pheight, CV_32FC1);
+ x->trainClasses = cvCreateMat(x->x_nsamples, 1, CV_32FC1);
+ }
+
+ // set class label
+ cvGetRow(x->trainClasses, &row, j);
+ cvSet(&row, cvRealScalar(i), NULL);
+ // set data
+ cvGetRow(x->trainData, &row, j);
+
+ IplImage* img = cvCreateImage( cvSize( x->x_pwidth, x->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, x->x_pwidth, x->x_pheight) );
+
+ // convert data matrix sizexsize to vecor
+ row1 = cvReshape( &data, &row_header, 0, 1 );
+ cvCopy(row1, &row, NULL);
+ }
+
+ // create the classifier
+ post( "pdp_opencv_cvk : loaded : %d samples", x->x_rsamples);
+ if ( x->x_rsamples == x->x_nsamples )
+ {
+ x->knn=new CvKNearest( x->trainData, x->trainClasses, 0, false, x->x_nsamples );
+ x->x_nearest=cvCreateMat(1,x->x_nsamples,CV_32FC1);
+ x->x_dist=cvCreateMat(1,x->x_nsamples,CV_32FC1);
+ }
+}
+
+static void pdp_opencv_cvk_classify(t_pdp_opencv_cvk *x)
+{
+ if ( x->trainData == NULL )
+ {
+ post( "pdp_opencv_cvk : no patterns loaded : cannot process" );
+ return;
+ }
+ x->x_classify=1;
+}
+
+void *pdp_opencv_cvk_new(t_symbol *s, int argc, t_atom *argv )
+{
+ int i;
+
+ t_pdp_opencv_cvk *x = (t_pdp_opencv_cvk *)pd_new(pdp_opencv_cvk_class);
+
+ x->x_outlet0 = outlet_new(&x->x_obj, &s_anything);
+ x->x_outlet1 = outlet_new(&x->x_obj, &s_anything);
+
+ x->x_packet0 = -1;
+ x->x_packet1 = -1;
+ x->x_queue_id = -1;
+
+ x->x_width = 320;
+ x->x_height = 240;
+ x->x_size = x->x_width * x->x_height;
+ x->x_ROIx = 0;
+ x->x_ROIy = 0;
+ x->x_ROIw = x->x_width;
+ x->x_ROIh = x->x_height;
+
+ x->rgb = cvCreateImage( cvSize(x->x_width, x->x_height), 8, 3 );
+ x->grey = cvCreateImage( cvSize(x->x_width, x->x_height), 8, 1 );
+
+ x->x_filepath = ( char * ) getbytes( 1024 );
+ sprintf( x->x_filepath, "./data" );
+ x->x_nsamples = 10;
+
+ if ( argc >= 1 )
+ {
+ if ( argv[0].a_type != A_SYMBOL )
+ {
+ error( "pdp_opencv_cvk : wrong argument (file path : 1)" );
+ return NULL;
+ }
+ if ( !strcmp( argv[0].a_w.w_symbol->s_name, "" ) )
+ {
+ error( "pdp_opencv_cvk : no extension specified" );
+ error( "pdp_opencv_cvk : usage : pdp_opencv_cvk_new <file path> <nsamples>" );
+ return NULL;
+ }
+ strcpy( x->x_filepath, argv[0].a_w.w_symbol->s_name );
+ }
+ if ( argc >= 2 )
+ {
+ if ( argv[1].a_type != A_FLOAT )
+ {
+ error( "pdp_opencv_cvk : wrong argument (nsamples : 2)" );
+ return NULL;
+ }
+ if ( (int)argv[1].a_w.w_float <= 0 )
+ {
+ error( "pdp_opencv_cvk : wrong number of samples (%d)", (t_int)(int)argv[1].a_w.w_float );
+ error( "pdp_opencv_cvk : usage : pdp_opencv_cvk_new <file path> <nsamples>" );
+ return NULL;
+ }
+ x->x_nsamples = (int)argv[1].a_w.w_float;
+ }
+
+ x->x_classify = 0;
+ x->x_pwidth = -1;
+ x->x_pheight = -1;
+
+ x->trainData = NULL;
+ x->trainClasses = NULL;
+
+ error( "pdp_opencv_cvk : loading %d samples from : %s", x->x_nsamples, x->x_filepath );
+ pdp_opencv_cvk_load( x );
+
+ return (void *)x;
+}
+
+
+#ifdef __cplusplus
+extern "C"
+{
+#endif
+
+
+void pdp_opencv_cvk_setup(void)
+{
+
+ post( " pdp_opencv_cvk");
+ pdp_opencv_cvk_class = class_new(gensym("pdp_opencv_cvk"), (t_newmethod)pdp_opencv_cvk_new,
+ (t_method)pdp_opencv_cvk_free, sizeof(t_pdp_opencv_cvk), CLASS_DEFAULT, A_GIMME, A_NULL);
+
+ class_addmethod(pdp_opencv_cvk_class, (t_method)pdp_opencv_cvk_input_0, gensym("pdp"), A_SYMBOL, A_DEFFLOAT, A_NULL);
+ class_addmethod(pdp_opencv_cvk_class, (t_method)pdp_opencv_cvk_classify, gensym("bang"), A_NULL);
+
+}
+
+#ifdef __cplusplus
+}
+#endif
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