/*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/or_pascal.hpp" #include #include #include // atoi #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 folder with dataset }"; CommandLineParser parser(argc, argv, keys); string path(parser.get("path")); if (parser.has("help") || path=="true") { parser.printMessage(); return -1; } Ptr dataset = OR_pascal::create(); dataset->load(path); // Print train/test/validation size and first example OR_pascalObj *example; vector< Ptr > &train = dataset->getTrain(); printf("\ntrain:\nsize: %u", (unsigned int)train.size()); example = static_cast(train[0].get()); printf("\nfirst image: \n%s", example->filename.c_str()); printf("\nsize:"); printf("\n - width: %d", example->width); printf("\n - height: %d", example->height); printf("\n - depth: %d", example->depth); for (unsigned int i = 0; i < example->objects.size(); i++) { printf("\nobject %d", i); printf("\nname: %s", example->objects[i].name.c_str()); printf("\npose: %s", example->objects[i].pose.c_str()); printf("\ntruncated: %d", example->objects[i].truncated); printf("\ndifficult: %d", example->objects[i].difficult); printf("\noccluded: %d", example->objects[i].occluded); printf("\nbounding box:"); printf("\n - xmin: %d", example->objects[i].xmin); printf("\n - ymin: %d", example->objects[i].ymin); printf("\n - xmax: %d", example->objects[i].xmax); printf("\n - ymax: %d", example->objects[i].ymax); } vector< Ptr > &test = dataset->getTest(); printf("\ntest:\nsize: %u", (unsigned int)test.size()); example = static_cast(test[0].get()); printf("\nfirst image: \n%s", example->filename.c_str()); vector< Ptr > &validation = dataset->getValidation(); printf("\nvalidation:\nsize: %u", (unsigned int)validation.size()); example = static_cast(validation[0].get()); printf("\nfirst image: \n%s\n", example->filename.c_str()); return 0; }