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add ability to store/load training configuration
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154
apps/sft/config.cpp
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154
apps/sft/config.cpp
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/*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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2008-2012, Willow Garage 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 Intel Corporation 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 <sft/config.hpp>
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#include <iomanip>
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sft::Config::Config(): seed(0) {}
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void sft::Config::write(cv::FileStorage& fs) const
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{
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fs << "{"
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<< "trainPath" << trainPath
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<< "testPath" << testPath
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<< "modelWinSize" << modelWinSize
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<< "offset" << offset
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<< "octaves" << octaves
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<< "positives" << positives
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<< "negatives" << negatives
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<< "btpNegatives" << btpNegatives
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<< "shrinkage" << shrinkage
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<< "treeDepth" << treeDepth
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<< "weaks" << weaks
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<< "poolSize" << poolSize
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<< "cascadeName" << cascadeName
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<< "outXmlPath" << outXmlPath
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<< "seed" << seed
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<< "}";
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}
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void sft::Config::read(const cv::FileNode& node)
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{
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trainPath = (string)node["trainPath"];
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testPath = (string)node["testPath"];
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cv::FileNodeIterator nIt = node["modelWinSize"].end();
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modelWinSize = cv::Size((int)*(--nIt), (int)*(--nIt));
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nIt = node["offset"].end();
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offset = cv::Point2i((int)*(--nIt), (int)*(--nIt));
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node["octaves"] >> octaves;
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positives = (int)node["positives"];
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negatives = (int)node["negatives"];
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btpNegatives = (int)node["btpNegatives"];
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shrinkage = (int)node["shrinkage"];
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treeDepth = (int)node["treeDepth"];
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weaks = (int)node["weaks"];
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poolSize = (int)node["poolSize"];
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cascadeName = (std::string)node["cascadeName"];
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outXmlPath = (std::string)node["outXmlPath"];
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seed = (int)node["seed"];
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}
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void sft::write(cv::FileStorage& fs, const string&, const Config& x)
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{
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x.write(fs);
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}
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void sft::read(const cv::FileNode& node, Config& x, const Config& default_value)
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{
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if(node.empty())
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x = default_value;
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else
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x.read(node);
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}
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struct Out
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{
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Out(std::ostream& _out): out(_out) {}
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template<typename T>
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void operator ()(const T a) const {out << a << " ";}
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std::ostream& out;
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};
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std::ostream& sft::operator<<(std::ostream& out, const Config& m)
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{
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out << std::setw(14) << std::left << "trainPath" << m.trainPath << std::endl
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<< std::setw(14) << std::left << "testPath" << m.testPath << std::endl
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<< std::setw(14) << std::left << "modelWinSize" << m.modelWinSize << std::endl
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<< std::setw(14) << std::left << "offset" << m.offset << std::endl
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<< std::setw(14) << std::left << "octaves";
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Out o(out);
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for_each(m.octaves.begin(), m.octaves.end(), o);
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out << std::endl
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<< std::setw(14) << std::left << "positives" << m.positives << std::endl
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<< std::setw(14) << std::left << "negatives" << m.negatives << std::endl
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<< std::setw(14) << std::left << "btpNegatives" << m.btpNegatives << std::endl
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<< std::setw(14) << std::left << "shrinkage" << m.shrinkage << std::endl
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<< std::setw(14) << std::left << "treeDepth" << m.treeDepth << std::endl
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<< std::setw(14) << std::left << "weaks" << m.weaks << std::endl
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<< std::setw(14) << std::left << "poolSize" << m.poolSize << std::endl
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<< std::setw(14) << std::left << "cascadeName" << m.cascadeName << std::endl
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<< std::setw(14) << std::left << "outXmlPath" << m.outXmlPath << std::endl
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<< std::setw(14) << std::left << "seed" << m.seed << std::endl;
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return out;
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}
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@ -54,6 +54,7 @@ namespace sft
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typedef std::vector<ICF> Icfvector;
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typedef std::vector<sft::string> svector;
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typedef std::vector<int> ivector;
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}
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// used for noisy printfs
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114
apps/sft/include/sft/config.hpp
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114
apps/sft/include/sft/config.hpp
Normal file
@ -0,0 +1,114 @@
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/*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) 2000-2008, Intel Corporation, all rights reserved.
|
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// Copyright (C) 2008-2012, Willow Garage 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 Intel Corporation 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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#ifndef __SFT_CONFIG_HPP__
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#define __SFT_CONFIG_HPP__
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#include <sft/common.hpp>
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#include <ostream>
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namespace sft {
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struct Config
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{
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Config();
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void write(cv::FileStorage& fs) const;
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void read(const cv::FileNode& node);
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// Paths to a rescaled data
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string trainPath;
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string testPath;
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// Original model size.
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cv::Size modelWinSize;
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// example offset into positive image
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cv::Point2i offset;
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// List of octaves for which have to be trained cascades (a list of powers of two)
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ivector octaves;
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// Maximum number of positives that should be ised during training
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int positives;
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// Initial number of negatives used during training.
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int negatives;
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// Number of weak negatives to add each bootstrapping step.
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int btpNegatives;
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// Inverse of scale for feature resazing
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int shrinkage;
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// Depth on weak classifier's desition tree
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int treeDepth;
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// Weak classifiers number in resulted cascade
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int weaks;
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// Feature random pool size
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int poolSize;
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// file name to store cascade
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string cascadeName;
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// path to resulting cascade
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string outXmlPath;
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// seed for fandom generation
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int seed;
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// // bounding retangle for actual exemple into example window
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// cv::Rect exampleWindow;
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};
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// required for cv::FileStorage serialization
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void write(cv::FileStorage& fs, const string&, const Config& x);
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void read(const cv::FileNode& node, Config& x, const Config& default_value);
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std::ostream& operator<<(std::ostream& out, const Config& m);
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}
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#endif
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