void
Finder::find(IplImage* target, double min_similarity){
dout << "[Finder::find]" << endl;
if (abs(min_similarity - 100)< 0.00001){
dout << "training.." << endl;
Mat im(target);
TextFinder::train(im);
}else{
TemplateFinder* tf = new TemplateFinder(_source);
if(_roi.width>0) tf->setROI(_roi.x, _roi.y, _roi.width, _roi.height);
tf->find(target, min_similarity);
if(_finder) delete _finder;
_finder = tf;
}
}
void
Finder::find(const char *target, double min_similarity){
dout << "[Finder::find]" << endl;
const char* p = target;
const char* ext = p + strlen(p) - 3;
if (abs(min_similarity - 100)< 0.00001){
Mat im = imread(target,1);
TextFinder::train(im);
}else if (strncmp(ext,"png",3) != 0){
TextFinder* wf = new TextFinder(_source);
if(_roi.width>0) wf->setROI(_roi.x, _roi.y, _roi.width, _roi.height);
// get name after bundle path, which is
// assumed to be the query word
int j;
for (j = (strlen(p)-1); j >=0; j--){
if (p[j]=='/')
break;
}
const char* q = p + j + 1;
wf->find(q,0.6);
if(_finder) delete _finder;
_finder = wf;
}else {
TemplateFinder* tf = new TemplateFinder(_source);
if(_roi.width>0) tf->setROI(_roi.x, _roi.y, _roi.width, _roi.height);
tf->find(target, min_similarity);
if(_finder) delete _finder;
_finder = tf;
}
}
