#include "opencv2/datasets/pd_inria.hpp" #include #include #include using namespace std; using namespace cv; using namespace cv::datasets; int main(int argc, char *argv[]) { const char *keys = "{ help h usage ? | | show this message }" "{ path p |true| path to dataset }"; CommandLineParser parser(argc, argv, keys); string path(parser.get("path")); if (parser.has("help") || path=="true") { parser.printMessage(); return -1; } Ptr dataset = PD_inria::create(); dataset->load(path); size_t train_size = dataset->getTrain().size(); size_t test_size = dataset->getTest().size(); cout << "train size: " << train_size << endl; cout << "test size: " << test_size << endl; for( size_t i = 0; i < train_size; i++ ) { PD_inriaObj *example = static_cast(dataset->getTrain()[i].get()); cout << "\ntrain object index: " << i << endl; cout << "file name: " << example->filename << endl; // image size cout << "image size: " << endl; cout << " - width: " << example->width << endl; cout << " - height: " << example->height << endl; cout << " - depth: " << example->depth << endl; Mat img = imread( example->filename ); // bounding boxes for ( size_t j = 0; j < example->bndboxes.size(); j++ ) { cout << "object " << j << endl; int x = example->bndboxes[j].x; int y = example->bndboxes[j].y; cout << " - xmin = " << x << endl; cout << " - ymin = " << y << endl; cout << " - xmax = " << example->bndboxes[j].width + x << endl; cout << " - ymax = " << example->bndboxes[j].height + y << endl; rectangle( img, example->bndboxes[j], Scalar( 0, 0, 255 ), 2 ); } imshow("INRIAPerson Dataset Train Images", img); cout << "\nPress a key to continue or ESC to exit." << endl; int key = waitKey(); if( key == 27 ) break; } return 0; }