int main(int argc, char** argv){
IplImage* motion = 0;
CvCapture* capture = 0;
short frameCount = 0;
// Info del clasificador
CvNormalBayesClassifier *nbayes;
char default_data_filename[] = "./train-data.txt";
char* data_filename = default_data_filename;
build_nbayes_classifier(data_filename, &nbayes);
if( argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0])))
capture = cvCaptureFromCAM( argc == 2 ? argv[1][0] - '0' : 0 );
else if( argc == 2 )
capture = cvCaptureFromFile( argv[1] );
if( capture ){
double fps = cvGetCaptureProperty(capture, CV_CAP_PROP_FPS);
std::cout << "FPS : " << fps << std::endl;
cvNamedWindow( "Original", 1 );
cvNamedWindow( "Motion", 1 );
for(;;){
IplImage* image = cvQueryFrame( capture );
if( !image ){
break;
}
if( !motion ){
motion = cvCreateImage( cvSize(image->width,image->height), 8, 3 );
cvZero( motion );
motion->origin = image->origin;
}
++frameCount;
if(frameCount > 7 || 1){
frameCount = 0;
initMatrix(relevanceVector,51);
update_mhi( image, motion, MOTION_HISTORY_SENSITIVITY, frameCount);
computeVectors(image, motion, 128, 96);
classify(nbayes);
}
cvShowImage( "Original", image);
cvShowImage( "Motion", motion );
if( cvWaitKey(10) >= 0 )
break;
}
cvReleaseCapture( &capture );
cvDestroyWindow( "Original" );
cvDestroyWindow( "Motion" );
}
return 0;
}
int main( int argc, char *argv[] )
{
char* filename_to_save = 0;
char* filename_to_load = 0;
char default_data_filename[] = "./letter-recognition.data";
char* data_filename = default_data_filename;
int method = 0;
int i;
for( i = 1; i < argc; i++ )
{
if( strcmp(argv[i],"-data") == 0 ) // flag "-data letter_recognition.xml"
{
i++;
data_filename = argv[i];
}
else if( strcmp(argv[i],"-save") == 0 ) // flag "-save filename.xml"
{
i++;
filename_to_save = argv[i];
}
else if( strcmp(argv[i],"-load") == 0) // flag "-load filename.xml"
{
i++;
filename_to_load = argv[i];
}
else if( strcmp(argv[i],"-boost") == 0)
{
method = 1;
}
else if( strcmp(argv[i],"-mlp") == 0 )
{
method = 2;
}
else if ( strcmp(argv[i], "-knearest") == 0)
{
method = 3;
}
else if ( strcmp(argv[i], "-nbayes") == 0)
{
method = 4;
}
else if ( strcmp(argv[i], "-svm") == 0)
{
method = 5;
}
else
break;
}
if( i < argc ||
(method == 0 ?
build_rtrees_classifier( data_filename, filename_to_save, filename_to_load ) :
method == 1 ?
build_boost_classifier( data_filename, filename_to_save, filename_to_load ) :
method == 2 ?
build_mlp_classifier( data_filename, filename_to_save, filename_to_load ) :
method == 3 ?
build_knearest_classifier( data_filename, 10 ) :
method == 4 ?
build_nbayes_classifier( data_filename) :
method == 5 ?
build_svm_classifier( data_filename ):
-1) < 0)
{
help();
}
return 0;
}