/*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/or_sun.hpp" #include "opencv2/datasets/util.hpp" #include <map> namespace cv { namespace datasets { using namespace std; class OR_sunImp CV_FINAL : public OR_sun { public: OR_sunImp() {} //OR_sunImp(const string &path); virtual ~OR_sunImp() CV_OVERRIDE {} virtual void load(const string &path) CV_OVERRIDE; private: void loadDataset(const string &path); void loadDatasetPart(const string &path, vector< Ptr<Object> > &dataset_); map<string, int> pathLabel; }; /*OR_sunImp::OR_sunImp(const string &path) { loadDataset(path); }*/ void OR_sunImp::load(const string &path) { loadDataset(path); } void OR_sunImp::loadDatasetPart(const string &path, vector< Ptr<Object> > &dataset_) { string line; ifstream infile(path.c_str()); while (getline(infile, line)) { Ptr<OR_sunObj> curr(new OR_sunObj); curr->label = 397; curr->name = line; size_t pos = curr->name.rfind('/'); if (pos != string::npos) { string labelStr(curr->name.substr(0, pos+1)); map<string, int>::iterator it = pathLabel.find(labelStr); if (it != pathLabel.end()) { curr->label = (*it).second; } else { curr->label = (int)pathLabel.size(); pathLabel.insert(make_pair(labelStr, curr->label)); paths.push_back(labelStr); } curr->name = curr->name.substr(pos+1); } dataset_.push_back(curr); } } void OR_sunImp::loadDataset(const string &path) { /*string classNameFile(path + "ClassName.txt"); ifstream infile(classNameFile.c_str()); string line; while (getline(infile, line)) { Ptr<OR_sunObj> curr(new OR_sunObj); curr->name = line; string currPath(path + curr->name); vector<string> fileNames; getDirList(currPath, fileNames); for (vector<string>::iterator it=fileNames.begin(); it!=fileNames.end(); ++it) { curr->imageNames.push_back(*it); } train.back().push_back(curr); }*/ for (unsigned int i=1; i<=10; ++i) { char tmp[3]; sprintf(tmp, "%u", i); string numStr; if (i<10) { numStr = string("0") + string(tmp); } else { numStr = tmp; } string trainFile(path + "Partitions/Training_" + numStr + ".txt"); string testFile(path + "Partitions/Testing_" + numStr + ".txt"); train.push_back(vector< Ptr<Object> >()); test.push_back(vector< Ptr<Object> >()); validation.push_back(vector< Ptr<Object> >()); loadDatasetPart(trainFile, train.back()); loadDatasetPart(testFile, test.back()); } } Ptr<OR_sun> OR_sun::create() { return Ptr<OR_sunImp>(new OR_sunImp); } } }