/*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) 2014, 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/tr_chars.hpp" #include "opencv2/datasets/util.hpp" namespace cv { namespace datasets { using namespace std; class TR_charsImp : public TR_chars { public: TR_charsImp() {} //TR_charsImp(const string &path, int number = 0); virtual ~TR_charsImp() {} virtual void load(const string &path); private: void loadDatasetSplit(const string &path, int number); void loadDataset(const string &path); void parseLine(const string &line, vector<int> &currSet, int number); inline void convert(vector<int> &from, vector< Ptr<Object> > &to, vector<int> &allLabels, vector<string> &allNames); inline void parseSet(const string &line, const string &pattern, bool &flag, vector<int> &set, int number); }; void TR_charsImp::parseLine(const string &line, vector<int> &currSet, int number) { vector<string> elems; split(line, elems, ' '); if (number >= (int)elems.size()) { return; } unsigned int ind = atoi(elems[number].c_str()); if (ind > 0) { currSet.push_back(ind-1); } } inline void TR_charsImp::convert(vector<int> &from, vector< Ptr<Object> > &to, vector<int> &allLabels, vector<string> &allNames) { for (vector<int>::iterator it=from.begin(); it!=from.end(); ++it) { if (*it>=(int)allNames.size() || *it>=(int)allLabels.size()) { printf("incorrect index: %u\n", *it); continue; } Ptr<TR_charsObj> curr(new TR_charsObj); curr->imgName = allNames[*it]; curr->label = allLabels[*it]; to.push_back(curr); } } inline void TR_charsImp::parseSet(const string &line, const string &pattern, bool &flag, vector<int> &set, int number) { size_t pos = line.find(pattern); if (string::npos != pos) { flag = true; string s(line.substr(pos + pattern.length())); parseLine(s, set, number); } else if (flag) { parseLine(line, set, number); } } /*TR_charsImp::TR_charsImp(const string &path, int number) { loadDataset(path, number); }*/ void TR_charsImp::load(const string &path) { loadDataset(path); } void TR_charsImp::loadDataset(const string &path) { int number = 0; do { loadDatasetSplit(path, number); number++; } while (train.back().size()>0); train.pop_back(); // remove last empty split test.pop_back(); // remove last empty split validation.pop_back(); // remove last empty split } void TR_charsImp::loadDatasetSplit(const string &path, int number) { train.push_back(vector< Ptr<Object> >()); test.push_back(vector< Ptr<Object> >()); validation.push_back(vector< Ptr<Object> >()); vector<int> allLabels, trainSet, testSet, validationSet; vector<string> allNames; ifstream infile((path + "list_English_Img.m").c_str()); string line; bool labels = false, names = false, isTrain = false, isTest = false, isValidation = false; while (getline(infile, line)) { size_t pos = line.find("];"); if (string::npos != pos) { labels = false; names = false; isTrain = false; isTest = false; isValidation = false; } string slabels("list.ALLlabels = ["); pos = line.find(slabels); if (string::npos != pos) { labels = true; string s(line.substr(pos+slabels.length())); allLabels.push_back(atoi(s.c_str())); } else if (labels) { allLabels.push_back(atoi(line.c_str())); } string snames("list.ALLnames = ["); pos = line.find(snames); if (string::npos != pos) { names = true; size_t start = pos+snames.length(); string s(line.substr(start+1, line.length()-start-2)); allNames.push_back(s); } else if (names) { string s(line.substr(1, line.length()-2)); allNames.push_back(s); } string trainStr("list.TRNind = ["); parseSet(line, trainStr, isTrain, trainSet, number); string testStr("list.TSTind = ["); parseSet(line, testStr, isTest, testSet, number); string validationStr("list.VALind = ["); parseSet(line, validationStr, isValidation, validationSet, number); /*"list.classlabels = [" "list.classnames = [" "list.NUMclasses = 62;" "list.TXNind = ["*/ } convert(trainSet, train.back(), allLabels, allNames); convert(testSet, test.back(), allLabels, allNames); convert(validationSet, validation.back(), allLabels, allNames); } Ptr<TR_chars> TR_chars::create() { return Ptr<TR_charsImp>(new TR_charsImp); } } }