/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2015, Itseez Inc, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Itseez Inc or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "opencv2/datasets/pd_inria.hpp" #include <opencv2/core.hpp> #include <iostream> #include <string> #include <vector> 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<string>("path")); if (parser.has("help") || path=="true") { parser.printMessage(); return -1; } Ptr<PD_inria> dataset = PD_inria::create(); dataset->load(path); cout << "train size: " << (unsigned int)dataset->getTrain().size() << endl; PD_inriaObj *example = static_cast<PD_inriaObj *>(dataset->getTrain()[0].get()); cout << "first train object: " << endl; cout << "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; // bounding boxes for (unsigned int i = 0; i < (example->bndboxes).size(); i++) { cout << "object " << i << endl; int x = (example->bndboxes)[i].x; int y = (example->bndboxes)[i].y; cout << " - xmin = " << x << endl; cout << " - ymin = " << y << endl; cout << " - xmax = " << (example->bndboxes)[i].width + x << endl; cout << " - ymax = " << (example->bndboxes)[i].height + y<< endl; } return 0; }