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97 lines
4.1 KiB
97 lines
4.1 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2014, Itseez Inc, all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Itseez Inc or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "opencv2/datasets/tr_chars.hpp" |
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#include <opencv2/core.hpp> |
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#include <cstdio> |
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#include <cstdlib> // atoi |
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#include <string> |
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#include <vector> |
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using namespace std; |
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using namespace cv; |
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using namespace cv::datasets; |
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int main(int argc, char *argv[]) |
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{ |
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const char *keys = |
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"{ help h usage ? | | show this message }" |
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"{ path p |true| path to dataset description file: list_English_Img.m }"; |
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CommandLineParser parser(argc, argv, keys); |
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string path(parser.get<string>("path")); |
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if (parser.has("help") || path=="true") |
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{ |
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parser.printMessage(); |
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return -1; |
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} |
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Ptr<TR_chars> dataset = TR_chars::create(); |
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dataset->load(path); |
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// *************** |
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// dataset. train, test contain information about each element of appropriate sets and splits. |
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// For example, let output first elements of these vectors and their sizes for last split. |
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// And number of splits. |
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int numSplits = dataset->getNumSplits(); |
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printf("splits number: %u\n", numSplits); |
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vector< Ptr<Object> > &currTrain = dataset->getTrain(numSplits-1); |
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vector< Ptr<Object> > &currTest = dataset->getTest(numSplits-1); |
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vector< Ptr<Object> > &currValidation = dataset->getValidation(numSplits-1); |
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printf("train size: %u\n", (unsigned int)currTrain.size()); |
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printf("test size: %u\n", (unsigned int)currTest.size()); |
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printf("validation size: %u\n", (unsigned int)currValidation.size()); |
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TR_charsObj *exampleTrain = static_cast<TR_charsObj *>(currTrain[0].get()); |
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TR_charsObj *exampleTest = static_cast<TR_charsObj *>(currTest[0].get()); |
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TR_charsObj *exampleValidation = static_cast<TR_charsObj *>(currValidation[0].get()); |
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printf("first train element:\nname: %s\n", exampleTrain->imgName.c_str()); |
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printf("label: %u\n", exampleTrain->label); |
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printf("first test element:\nname: %s\n", exampleTest->imgName.c_str()); |
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printf("label: %u\n", exampleTest->label); |
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printf("first validation element:\nname: %s\n", exampleValidation->imgName.c_str()); |
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printf("label: %u\n", exampleValidation->label); |
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return 0; |
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}
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