int main()
{
char filename[100], imagename[100];
//define test_image, file_reader, feature_extrator, classifier and detector
IplImage* img;
std::ifstream ifile;
EdgeletFeatures hf(WIDTH,HEIGHT);
CascadeClassifier cc;
Detector dt;
//load defult features
// ifile.open("./data/haar_features.txt");
//hf.ReadFromFile(ifile);
//ifile.close();
//load default classifier
sprintf(filename,"%s/cascadeclassifier.txt",dir_prefix);
ifile.open(filename);
cc.ReadFromFile(ifile);
dt.SetClassifier(&cc);
dt.SetExtractor(&hf);
std::vector<CvRect> results;
std::ifstream f1;
int num,i;
//general test
/**/
sprintf(filename,"%s/detect_samples.txt",dir_prefix);
f1.open(filename);
f1>>num;
f1.ignore(256,'\n');
for(i=0;i<num;i++)
{
//read image
f1>>imagename;
img = cvLoadImage(imagename);
std::vector<CvRect> results;
std::clog<<"Checking the "<<i<<"st image: "<<imagename<<std::endl;
dt.Check(img,results);
dt.DrawResults(img,results);
sprintf(filename,"%s/result_%d.bmp",dir_prefix,i);
cvSaveImage(filename,img);
cvReleaseImage(&img);
}
f1.close();
return 1;
}
void AppendAdaBoostClassifier(const AdaBoostClassifier& ada)
{
CascadeClassifier cas;
ifstream f;
ofstream of;
f.open(cascade_filename);
cas.ReadFromFile(f);
f.close();
cas.ac[cas.count] = ada;
cas.count++;
of.open(cascade_filename);
cas.WriteToFile(of);
of.close();
}
