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- /*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 <opencv2/core.hpp>
- #include <cstdio>
- #include <cstdlib> // atoi
- #include <string>
- #include <vector>
- #include <set>
- 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<string>("path"));
- if (parser.has("help") || path=="true")
- {
- parser.printMessage();
- return -1;
- }
- Ptr<OR_pascal> dataset = OR_pascal::create();
- dataset->load(path);
- // Print train/test/validation size and first example
- OR_pascalObj *example;
- vector< Ptr<Object> > &train = dataset->getTrain();
- printf("\ntrain:\nsize: %u", (unsigned int)train.size());
- example = static_cast<OR_pascalObj *>(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<Object> > &test = dataset->getTest();
- printf("\ntest:\nsize: %u", (unsigned int)test.size());
- example = static_cast<OR_pascalObj *>(test[0].get());
- printf("\nfirst image: \n%s", example->filename.c_str());
- vector< Ptr<Object> > &validation = dataset->getValidation();
- printf("\nvalidation:\nsize: %u", (unsigned int)validation.size());
- example = static_cast<OR_pascalObj *>(validation[0].get());
- printf("\nfirst image: \n%s\n", example->filename.c_str());
- return 0;
- }
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