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-rw-r--r--pdp_opencv_haarcascade.c356
1 files changed, 356 insertions, 0 deletions
diff --git a/pdp_opencv_haarcascade.c b/pdp_opencv_haarcascade.c
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+++ b/pdp_opencv_haarcascade.c
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+/*
+ * 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.
+ *
+ */
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <assert.h>
+#include <math.h>
+#include <float.h>
+#include <limits.h>
+#include <time.h>
+#include <ctype.h>
+
+#include "pdp.h"
+
+#ifndef _EiC
+#include "cv.h"
+#endif
+
+
+
+
+
+const char* default_cascade ="./haarcascade_frontalface_alt.xml";
+
+
+typedef struct pdp_opencv_haarcascade_struct
+{
+ t_object x_obj;
+ t_float x_f;
+
+ t_outlet *x_outlet0;
+ t_outlet *x_dataout;
+ int x_packet0;
+ int x_packet1;
+ int x_dropped;
+ int x_queue_id;
+
+ int x_width;
+ int x_height;
+ int x_size;
+
+ int x_infosok;
+
+ float scale_factor;
+ int min_neighbors;
+ int mode;
+ int min_size;
+
+ IplImage *frame, *img;
+ CvMemStorage* storage;
+ CvHaarClassifierCascade* cascade;
+
+} t_pdp_opencv_haarcascade;
+
+
+
+static void pdp_opencv_haarcascade_process_rgb(t_pdp_opencv_haarcascade *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);
+
+
+ if ((x->x_width != (t_int)header->info.image.width) ||
+ (x->x_height != (t_int)header->info.image.height))
+ {
+
+ post("pdp_opencv_haarcascade :: resizing plugins");
+
+ x->x_width = header->info.image.width;
+ x->x_height = header->info.image.height;
+ x->x_size = x->x_width*x->x_height;
+
+ //Destroy cv_images
+ cvReleaseImage(&x->frame);
+ cvReleaseImage(&x->img);
+
+ //create the orig image with new size
+ x->frame = cvCreateImage(cvSize(x->x_width,x->x_height), IPL_DEPTH_8U, 3);
+
+ // Create the output images with new sizes
+ x->img = cvCreateImage(cvSize(x->frame->width,x->frame->height), IPL_DEPTH_8U, 3);
+
+ }
+
+ newheader->info.image.encoding = header->info.image.encoding;
+ newheader->info.image.width = x->x_width;
+ newheader->info.image.height = x->x_height;
+
+ memcpy( newdata, data, x->x_size*3 );
+
+ //cv_processframe(x, x->x_plugin, newdata);
+
+ // 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( x->frame->imageData, data, x->x_size*3 );
+
+ if( x->frame->origin == IPL_ORIGIN_TL )
+ cvCopy( x->frame, x->img, 0 );
+ else
+ cvFlip( x->frame, x->img, 0 );
+
+ static CvScalar colors[] =
+ {
+ {{0,0,255}},
+ {{0,128,255}},
+ {{0,255,255}},
+ {{0,255,0}},
+ {{255,128,0}},
+ {{255,255,0}},
+ {{255,0,0}},
+ {{255,0,255}}
+ };
+
+ double scale = 1.3;
+ IplImage* gray = cvCreateImage( cvSize(x->img->width,x->img->height), 8, 1 );
+ IplImage* small_img = cvCreateImage( cvSize( cvRound (x->img->width/scale),
+ cvRound (x->img->height/scale)),
+ 8, 1 );
+ int i;
+
+ cvCvtColor( x->img, gray, CV_BGR2GRAY );
+ cvResize( gray, small_img, CV_INTER_LINEAR );
+ cvEqualizeHist( small_img, small_img );
+ cvClearMemStorage( x->storage );
+
+ if( x->cascade )
+ {
+ double t = (double)cvGetTickCount();
+ CvSeq* faces = cvHaarDetectObjects( small_img, x->cascade, x->storage,
+ x->scale_factor, x->min_neighbors, x->mode, cvSize(x->min_size, x->min_size) );
+ //t = (double)cvGetTickCount() - t;
+ //printf( "detection time = %gms\n", t/((double)cvGetTickFrequency()*1000.) );
+ for( i = 0; i < (faces ? faces->total : 0); i++ )
+ {
+ CvRect* r = (CvRect*)cvGetSeqElem( faces, i );
+ CvPoint center;
+ int radius;
+ center.x = cvRound((r->x + r->width*0.5)*scale);
+ center.y = cvRound((r->y + r->height*0.5)*scale);
+ radius = cvRound((r->width + r->height)*0.25*scale);
+ cvCircle( x->img, center, radius, colors[i%8], 3, 8, 0 );
+
+ t_atom rlist[4];
+ SETFLOAT(&rlist[0], i);
+ SETFLOAT(&rlist[1], center.x);
+ SETFLOAT(&rlist[2], center.y);
+ SETFLOAT(&rlist[3], radius);
+ outlet_list( x->x_dataout, 0, 4, rlist );
+ }
+ }
+
+ cvReleaseImage( &gray );
+ cvReleaseImage( &small_img );
+ cvClearMemStorage( x->storage );
+
+ memcpy( newdata, x->img->imageData, x->x_size*3 );
+
+
+
+ return;
+}
+
+static void pdp_opencv_haarcascade_param(t_pdp_opencv_haarcascade *x, t_floatarg f1, t_floatarg f2)
+{
+
+}
+
+static void pdp_opencv_haarcascade_scale_factor(t_pdp_opencv_haarcascade *x, t_floatarg f)
+{
+ if (f>1) x->scale_factor = f;
+}
+
+static void pdp_opencv_haarcascade_min_size(t_pdp_opencv_haarcascade *x, t_floatarg f)
+{
+ if (f>1) x->min_size = (int)f;
+}
+
+static void pdp_opencv_haarcascade_mode(t_pdp_opencv_haarcascade *x, t_floatarg f)
+{
+ if ((f==0)||(f==1)) x->mode = (int)f;
+}
+
+static void pdp_opencv_haarcascade_min_neighbors(t_pdp_opencv_haarcascade *x, t_floatarg f)
+{
+ if (f>=1) x->min_neighbors = (int)f;
+}
+
+static void pdp_opencv_haarcascade_load(t_pdp_opencv_haarcascade *x, t_symbol *filename)
+{
+ x->cascade = (CvHaarClassifierCascade*)cvLoad( filename->s_name, 0, 0, 0 );
+ if( !x->cascade )
+ {
+ post( "ERROR: Could not load classifier cascade from %s\n", filename->s_name );
+ } else post( "pdp_opencv_haarcascade: Loaded classifier cascade from %s\n", filename->s_name );
+}
+
+static void pdp_opencv_haarcascade_sendpacket(t_pdp_opencv_haarcascade *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_haarcascade_process(t_pdp_opencv_haarcascade *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_haarcascade_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, pdp_opencv_haarcascade_process_rgb, pdp_opencv_haarcascade_sendpacket, &x->x_queue_id);
+ break;
+
+ default:
+ /* don't know the type, so dont pdp_opencv_haarcascade_process */
+ break;
+
+ }
+ }
+
+}
+
+static void pdp_opencv_haarcascade_input_0(t_pdp_opencv_haarcascade *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_haarcascade_process(x);
+ }
+}
+
+static void pdp_opencv_haarcascade_free(t_pdp_opencv_haarcascade *x)
+{
+ int i;
+
+ pdp_queue_finish(x->x_queue_id);
+ pdp_packet_mark_unused(x->x_packet0);
+
+ cvReleaseMemStorage( &x->storage );
+ //cvReleaseHaarClassifierCascade(&x->cascade);
+ cvReleaseImage(&x->frame);
+ cvReleaseImage(&x->img);
+}
+
+t_class *pdp_opencv_haarcascade_class;
+
+
+void *pdp_opencv_haarcascade_new(t_floatarg f)
+{
+ int i;
+
+ t_pdp_opencv_haarcascade *x = (t_pdp_opencv_haarcascade *)pd_new(pdp_opencv_haarcascade_class);
+
+ x->x_outlet0 = outlet_new(&x->x_obj, &s_anything);
+ x->x_dataout = 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_infosok = 0;
+
+ x->scale_factor = 1.1;
+ x->min_neighbors = 2;
+ x->mode = 0;
+ x->min_size = 30;
+
+
+ x->cascade = (CvHaarClassifierCascade*)cvLoad( default_cascade, 0, 0, 0 );
+ if( !x->cascade )
+ {
+ post( "ERROR: Could not load default classifier cascade\n" );
+ } else post( "pdp_opencv_haarcascade: Loaded default classifier cascade\n" );
+ x->storage = cvCreateMemStorage(0);
+
+ x->frame = cvCreateImage(cvSize(x->x_width,x->x_height), IPL_DEPTH_8U, 3);
+ x->img = cvCreateImage(cvSize(x->frame->width,x->frame->height), IPL_DEPTH_8U, 3);
+
+
+
+ return (void *)x;
+}
+
+
+#ifdef __cplusplus
+extern "C"
+{
+#endif
+
+
+void pdp_opencv_haarcascade_setup(void)
+{
+
+ post( " pdp_opencv_haarcascade");
+ pdp_opencv_haarcascade_class = class_new(gensym("pdp_opencv_haarcascade"), (t_newmethod)pdp_opencv_haarcascade_new,
+ (t_method)pdp_opencv_haarcascade_free, sizeof(t_pdp_opencv_haarcascade), 0, A_DEFFLOAT, A_NULL);
+
+ class_addmethod(pdp_opencv_haarcascade_class, (t_method)pdp_opencv_haarcascade_input_0, gensym("pdp"), A_SYMBOL, A_DEFFLOAT, A_NULL);
+ class_addmethod(pdp_opencv_haarcascade_class, (t_method)pdp_opencv_haarcascade_load, gensym("load"), A_SYMBOL, A_NULL );
+ class_addmethod(pdp_opencv_haarcascade_class, (t_method)pdp_opencv_haarcascade_scale_factor, gensym("scale_factor"), A_FLOAT, A_NULL );
+ class_addmethod(pdp_opencv_haarcascade_class, (t_method)pdp_opencv_haarcascade_min_neighbors, gensym("min_neighbors"), A_FLOAT, A_NULL );
+ class_addmethod(pdp_opencv_haarcascade_class, (t_method)pdp_opencv_haarcascade_mode, gensym("mode"), A_FLOAT, A_NULL );
+ class_addmethod(pdp_opencv_haarcascade_class, (t_method)pdp_opencv_haarcascade_min_size, gensym("min_size"), A_FLOAT, A_NULL );
+
+
+}
+
+#ifdef __cplusplus
+}
+#endif
+