/*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) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2008-2012, Willow Garage 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 Intel Corporation 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 #include sft::Config::Config(): seed(0) {} void sft::Config::write(cv::FileStorage& fs) const { fs << "{" << "trainPath" << trainPath << "testPath" << testPath << "modelWinSize" << modelWinSize << "offset" << offset << "octaves" << octaves << "positives" << positives << "negatives" << negatives << "btpNegatives" << btpNegatives << "shrinkage" << shrinkage << "treeDepth" << treeDepth << "weaks" << weaks << "poolSize" << poolSize << "cascadeName" << cascadeName << "outXmlPath" << outXmlPath << "seed" << seed << "featureType" << featureType << "}"; } void sft::Config::read(const cv::FileNode& node) { trainPath = (string)node["trainPath"]; testPath = (string)node["testPath"]; cv::FileNodeIterator nIt = node["modelWinSize"].end(); modelWinSize = cv::Size((int)*(--nIt), (int)*(--nIt)); nIt = node["offset"].end(); offset = cv::Point2i((int)*(--nIt), (int)*(--nIt)); node["octaves"] >> octaves; positives = (int)node["positives"]; negatives = (int)node["negatives"]; btpNegatives = (int)node["btpNegatives"]; shrinkage = (int)node["shrinkage"]; treeDepth = (int)node["treeDepth"]; weaks = (int)node["weaks"]; poolSize = (int)node["poolSize"]; cascadeName = (std::string)node["cascadeName"]; outXmlPath = (std::string)node["outXmlPath"]; seed = (int)node["seed"]; featureType = (std::string)node["featureType"]; } void sft::write(cv::FileStorage& fs, const string&, const Config& x) { x.write(fs); } void sft::read(const cv::FileNode& node, Config& x, const Config& default_value) { x = default_value; if(!node.empty()) x.read(node); } namespace { struct Out { Out(std::ostream& _out): out(_out) {} template void operator ()(const T a) const {out << a << " ";} std::ostream& out; private: Out& operator=(Out const& other); }; } std::ostream& sft::operator<<(std::ostream& out, const Config& m) { out << std::setw(14) << std::left << "trainPath" << m.trainPath << std::endl << std::setw(14) << std::left << "testPath" << m.testPath << std::endl << std::setw(14) << std::left << "modelWinSize" << m.modelWinSize << std::endl << std::setw(14) << std::left << "offset" << m.offset << std::endl << std::setw(14) << std::left << "octaves"; Out o(out); for_each(m.octaves.begin(), m.octaves.end(), o); out << std::endl << std::setw(14) << std::left << "positives" << m.positives << std::endl << std::setw(14) << std::left << "negatives" << m.negatives << std::endl << std::setw(14) << std::left << "btpNegatives" << m.btpNegatives << std::endl << std::setw(14) << std::left << "shrinkage" << m.shrinkage << std::endl << std::setw(14) << std::left << "treeDepth" << m.treeDepth << std::endl << std::setw(14) << std::left << "weaks" << m.weaks << std::endl << std::setw(14) << std::left << "poolSize" << m.poolSize << std::endl << std::setw(14) << std::left << "cascadeName" << m.cascadeName << std::endl << std::setw(14) << std::left << "outXmlPath" << m.outXmlPath << std::endl << std::setw(14) << std::left << "seed" << m.seed << std::endl << std::setw(14) << std::left << "featureType" << m.featureType << std::endl; return out; }