Open Source Computer Vision Library https://opencv.org/
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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) 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 <sft/config.hpp>
#include <iomanip>
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<typename T>
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;
}