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https://github.com/opencv/opencv_contrib.git
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132 lines
4.6 KiB
C++
132 lines
4.6 KiB
C++
/*
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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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License Agreement
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For Open Source Computer Vision Library
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(3-clause BSD License)
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Copyright (C) 2000-2015, Intel Corporation, all rights reserved.
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Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
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Copyright (C) 2009-2015, NVIDIA Corporation, all rights reserved.
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Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
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Copyright (C) 2015, OpenCV Foundation, all rights reserved.
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Copyright (C) 2015, Itseez Inc., all rights reserved.
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Third party copyrights are property of their respective owners.
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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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* Redistributions 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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* Redistributions 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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* Neither the names of the copyright holders nor the names of the contributors
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may be used to endorse or promote products derived from this software
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without specific prior written permission.
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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 copyright holders 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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#include "precomp.hpp"
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namespace cv {
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namespace xobjdetect {
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float calcNormFactor( const Mat& sum, const Mat& sqSum )
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{
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CV_DbgAssert( sum.cols > 3 && sqSum.rows > 3 );
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Rect normrect( 1, 1, sum.cols - 3, sum.rows - 3 );
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size_t p0, p1, p2, p3;
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CV_SUM_OFFSETS( p0, p1, p2, p3, normrect, sum.step1() )
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double area = normrect.width * normrect.height;
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const int *sp = sum.ptr<int>();
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int valSum = sp[p0] - sp[p1] - sp[p2] + sp[p3];
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const double *sqp = sqSum.ptr<double>();
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double valSqSum = sqp[p0] - sqp[p1] - sqp[p2] + sqp[p3];
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return (float) sqrt( (double) (area * valSqSum - (double)valSum * valSum) );
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}
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CvParams::CvParams() : name( "params" ) {}
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void CvParams::printDefaults() const
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{ std::cout << "--" << name << "--" << std::endl; }
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void CvParams::printAttrs() const {}
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bool CvParams::scanAttr( const std::string, const std::string ) { return false; }
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//---------------------------- FeatureParams --------------------------------------
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CvFeatureParams::CvFeatureParams() : maxCatCount( 0 ), featSize( 1 )
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{
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name = CC_FEATURE_PARAMS;
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}
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void CvFeatureParams::init( const CvFeatureParams& fp )
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{
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maxCatCount = fp.maxCatCount;
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featSize = fp.featSize;
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}
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void CvFeatureParams::write( FileStorage &fs ) const
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{
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fs << CC_MAX_CAT_COUNT << maxCatCount;
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fs << CC_FEATURE_SIZE << featSize;
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}
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bool CvFeatureParams::read( const FileNode &node )
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{
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if ( node.empty() )
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return false;
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maxCatCount = node[CC_MAX_CAT_COUNT];
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featSize = node[CC_FEATURE_SIZE];
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return ( maxCatCount >= 0 && featSize >= 1 );
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}
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Ptr<CvFeatureParams> CvFeatureParams::create()
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{
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return Ptr<CvFeatureParams>(new CvLBPFeatureParams);
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}
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//------------------------------------- FeatureEvaluator ---------------------------------------
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void CvFeatureEvaluator::init(const CvFeatureParams *_featureParams,
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int _maxSampleCount, Size _winSize )
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{
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CV_Assert(_maxSampleCount > 0);
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featureParams = (CvFeatureParams *)_featureParams;
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winSize = _winSize;
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numFeatures = 0;
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cls.create( (int)_maxSampleCount, 1, CV_32FC1 );
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generateFeatures();
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}
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void CvFeatureEvaluator::setImage(const Mat &, uchar clsLabel, int idx, const std::vector<int>&)
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{
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//CV_Assert(img.cols == winSize.width);
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//CV_Assert(img.rows == winSize.height);
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CV_Assert(idx < cls.rows);
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cls.ptr<float>(idx)[0] = clsLabel;
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}
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Ptr<CvFeatureEvaluator> CvFeatureEvaluator::create()
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{
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return Ptr<CvFeatureEvaluator>(new CvLBPEvaluator);
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}
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}
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}
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