1 #include "opencv2/core/core.hpp"
2 #include "opencv2/core/internal.hpp"
4 #include "lbpfeatures.h"
5 #include "cascadeclassifier.h"
7 CvLBPFeatureParams::CvLBPFeatureParams()
13 void CvLBPEvaluator::init(const CvFeatureParams *_featureParams, int _maxSampleCount, Size _winSize)
15 CV_Assert( _maxSampleCount > 0);
16 sum.create((int)_maxSampleCount, (_winSize.width + 1) * (_winSize.height + 1), CV_32SC1);
17 CvFeatureEvaluator::init( _featureParams, _maxSampleCount, _winSize );
20 void CvLBPEvaluator::setImage(const Mat &img, uchar clsLabel, int idx)
22 CV_DbgAssert( !sum.empty() );
23 CvFeatureEvaluator::setImage( img, clsLabel, idx );
24 Mat innSum(winSize.height + 1, winSize.width + 1, sum.type(), sum.ptr<int>((int)idx));
25 integral( img, innSum );
28 void CvLBPEvaluator::writeFeatures( FileStorage &fs, const Mat& featureMap ) const
30 _writeFeatures( features, fs, featureMap );
33 void CvLBPEvaluator::generateFeatures()
35 int offset = winSize.width + 1;
36 for( int x = 0; x < winSize.width; x++ )
37 for( int y = 0; y < winSize.height; y++ )
38 for( int w = 1; w <= winSize.width / 3; w++ )
39 for( int h = 1; h <= winSize.height / 3; h++ )
40 if ( (x+3*w <= winSize.width) && (y+3*h <= winSize.height) )
41 features.push_back( Feature(offset, x, y, w, h ) );
42 numFeatures = (int)features.size();
45 CvLBPEvaluator::Feature::Feature()
47 rect = cvRect(0, 0, 0, 0);
50 CvLBPEvaluator::Feature::Feature( int offset, int x, int y, int _blockWidth, int _blockHeight )
52 Rect tr = rect = cvRect(x, y, _blockWidth, _blockHeight);
53 CV_SUM_OFFSETS( p[0], p[1], p[4], p[5], tr, offset )
55 CV_SUM_OFFSETS( p[2], p[3], p[6], p[7], tr, offset )
57 CV_SUM_OFFSETS( p[10], p[11], p[14], p[15], tr, offset )
59 CV_SUM_OFFSETS( p[8], p[9], p[12], p[13], tr, offset )
62 void CvLBPEvaluator::Feature::write(FileStorage &fs) const
64 fs << CC_RECT << "[:" << rect.x << rect.y << rect.width << rect.height << "]";