1 #include "lbpfeatures.h"
2 #include "cascadeclassifier.h"
4 CvLBPFeatureParams::CvLBPFeatureParams()
10 void CvLBPEvaluator::init(const CvFeatureParams *_featureParams, int _maxSampleCount, Size _winSize)
12 CV_Assert( _maxSampleCount > 0);
13 sum.create((int)_maxSampleCount, (_winSize.width + 1) * (_winSize.height + 1), CV_32SC1);
14 CvFeatureEvaluator::init( _featureParams, _maxSampleCount, _winSize );
17 void CvLBPEvaluator::setImage(const Mat &img, uchar clsLabel, int idx)
19 CV_DbgAssert( !sum.empty() );
20 CvFeatureEvaluator::setImage( img, clsLabel, idx );
21 Mat sum(winSize.height + 1, winSize.width + 1, sum.type(), sum.ptr<int>((int)idx));
25 void CvLBPEvaluator::writeFeatures( FileStorage &fs, const Mat& featureMap ) const
27 _writeFeatures( features, fs, featureMap );
30 void CvLBPEvaluator::generateFeatures()
32 int offset = winSize.width + 1;
33 for( int x = 0; x < winSize.width; x++ )
34 for( int y = 0; y < winSize.height; y++ )
35 for( int w = 1; w <= winSize.width / 3; w++ )
36 for( int h = 1; h <= winSize.height / 3; h++ )
37 if ( (x+3*w <= winSize.width) && (y+3*h <= winSize.height) )
38 features.push_back( Feature(offset, x, y, w, h ) );
39 numFeatures = (int)features.size();
42 CvLBPEvaluator::Feature::Feature()
44 rect = cvRect(0, 0, 0, 0);
47 CvLBPEvaluator::Feature::Feature( int offset, int x, int y, int _blockWidth, int _blockHeight )
49 Rect tr = rect = cvRect(x, y, _blockWidth, _blockHeight);
50 CV_SUM_OFFSETS( p[0], p[1], p[4], p[5], tr, offset )
52 CV_SUM_OFFSETS( p[2], p[3], p[6], p[7], tr, offset )
54 CV_SUM_OFFSETS( p[10], p[11], p[14], p[15], tr, offset )
56 CV_SUM_OFFSETS( p[8], p[9], p[12], p[13], tr, offset )
59 void CvLBPEvaluator::Feature::write(FileStorage &fs) const
61 fs << CC_RECT << "[:" << rect.x << rect.y << rect.width << rect.height << "]";