using cv::Mat;
struct ICF;
- typedef std::string string;
+ typedef cv::String string;
typedef std::vector<ICF> Icfvector;
typedef std::vector<sft::string> svector;
cout << "Detection time = " << tm.getTimeSec() << " sec" << endl;
- const vector<string> classNames = detector.getClassNames();
+ const vector<String> classNames = detector.getClassNames();
CV_Assert( colors.size() == classNames.size() );
for( size_t i = 0; i < detections.size(); i++ )
}
}
-static void readDirectory( const string& directoryName, vector<string>& filenames, bool addDirectoryName=true )
+static void readDirectory( const string& directoryName, vector<String>& filenames, bool addDirectoryName=true )
{
filenames.clear();
if( argc > 4 ) numThreads = atoi(argv[4]);
}
- vector<string> images_filenames, models_filenames;
+ vector<String> images_filenames, models_filenames;
readDirectory( images_folder, images_filenames );
readDirectory( models_folder, models_filenames );
exit(-1);
}
- const vector<string>& classNames = detector.getClassNames();
+ const vector<String>& classNames = detector.getClassNames();
cout << "Loaded " << classNames.size() << " models:" << endl;
for( size_t i = 0; i < classNames.size(); i++ )
{
cv::FileStorage fs(filename, cv::FileStorage::WRITE);
detector->write(fs);
- std::vector<std::string> ids = detector->classIds();
+ std::vector<cv::String> ids = detector->classIds();
fs << "classes" << "[";
for (int i = 0; i < (int)ids.size(); ++i)
{
{
detector = readLinemod(argv[1]);
- std::vector<std::string> ids = detector->classIds();
+ std::vector<cv::String> ids = detector->classIds();
num_classes = detector->numClasses();
printf("Loaded %s with %d classes and %d templates\n",
argv[1], num_classes, detector->numTemplates());
// Perform matching
std::vector<cv::linemod::Match> matches;
- std::vector<std::string> class_ids;
+ std::vector<cv::String> class_ids;
std::vector<cv::Mat> quantized_images;
match_timer.start();
detector->match(sources, (float)matching_threshold, matches, class_ids, quantized_images);
}
std::string src = parser.get<std::string>("frame");
- std::vector<std::string> frames;
+ std::vector<cv::String> frames;
cv::glob(parser.get<std::string>("frame"), frames);
std::cout << "collected " << src << " " << frames.size() << " frames." << std::endl;
for (int i = 0; i < (int)frames.size(); ++i)
{
- std::string& frame_sourse = frames[i];
+ std::string frame_sourse = frames[i];
cv::Mat frame = cv::imread(frame_sourse);
if(frame.empty())
// Default command line args
-vector<string> img_names;
+vector<String> img_names;
bool preview = false;
bool try_gpu = false;
double work_megapix = 0.6;
// Leave only images we are sure are from the same panorama
vector<int> indices = leaveBiggestComponent(features, pairwise_matches, conf_thresh);
vector<Mat> img_subset;
- vector<string> img_names_subset;
+ vector<String> img_names_subset;
vector<Size> full_img_sizes_subset;
for (size_t i = 0; i < indices.size(); ++i)
{
break;
cv::Mat gray;
cv::cvtColor(frame,gray,CV_RGB2GRAY);
- vector<string> codes;
+ vector<String> codes;
Mat corners;
findDataMatrix(gray, codes, corners);
drawDataMatrixCodes(frame, codes, corners);