X-Git-Url: https://vcs.maemo.org/git/?a=blobdiff_plain;f=apps%2Ftraincascade%2Flbpfeatures.cpp;fp=apps%2Ftraincascade%2Flbpfeatures.cpp;h=14667de1d3f65bd9087b65b880e424d0936ea5ca;hb=e4c14cdbdf2fe805e79cd96ded236f57e7b89060;hp=0000000000000000000000000000000000000000;hpb=454138ff8a20f6edb9b65a910101403d8b520643;p=opencv diff --git a/apps/traincascade/lbpfeatures.cpp b/apps/traincascade/lbpfeatures.cpp new file mode 100755 index 0000000..14667de --- /dev/null +++ b/apps/traincascade/lbpfeatures.cpp @@ -0,0 +1,62 @@ +#include "lbpfeatures.h" +#include "cascadeclassifier.h" + +CvLBPFeatureParams::CvLBPFeatureParams() +{ + maxCatCount = 256; + name = LBPF_NAME; +} + +void CvLBPEvaluator::init(const CvFeatureParams *_featureParams, int _maxSampleCount, Size _winSize) +{ + CV_Assert( _maxSampleCount > 0); + sum.create((int)_maxSampleCount, (_winSize.width + 1) * (_winSize.height + 1), CV_32SC1); + CvFeatureEvaluator::init( _featureParams, _maxSampleCount, _winSize ); +} + +void CvLBPEvaluator::setImage(const Mat &img, uchar clsLabel, int idx) +{ + CV_DbgAssert( !sum.empty() ); + CvFeatureEvaluator::setImage( img, clsLabel, idx ); + Mat sum(winSize.height + 1, winSize.width + 1, sum.type(), sum.ptr((int)idx)); + integral( img, sum ); +} + +void CvLBPEvaluator::writeFeatures( FileStorage &fs, const Mat& featureMap ) const +{ + _writeFeatures( features, fs, featureMap ); +} + +void CvLBPEvaluator::generateFeatures() +{ + int offset = winSize.width + 1; + for( int x = 0; x < winSize.width; x++ ) + for( int y = 0; y < winSize.height; y++ ) + for( int w = 1; w <= winSize.width / 3; w++ ) + for( int h = 1; h <= winSize.height / 3; h++ ) + if ( (x+3*w <= winSize.width) && (y+3*h <= winSize.height) ) + features.push_back( Feature(offset, x, y, w, h ) ); + numFeatures = (int)features.size(); +} + +CvLBPEvaluator::Feature::Feature() +{ + rect = cvRect(0, 0, 0, 0); +} + +CvLBPEvaluator::Feature::Feature( int offset, int x, int y, int _blockWidth, int _blockHeight ) +{ + Rect tr = rect = cvRect(x, y, _blockWidth, _blockHeight); + CV_SUM_OFFSETS( p[0], p[1], p[4], p[5], tr, offset ) + tr.x += 2*rect.width; + CV_SUM_OFFSETS( p[2], p[3], p[6], p[7], tr, offset ) + tr.y +=2*rect.height; + CV_SUM_OFFSETS( p[10], p[11], p[14], p[15], tr, offset ) + tr.x -= 2*rect.width; + CV_SUM_OFFSETS( p[8], p[9], p[12], p[13], tr, offset ) +} + +void CvLBPEvaluator::Feature::write(FileStorage &fs) const +{ + fs << CC_RECT << "[:" << rect.x << rect.y << rect.width << rect.height << "]"; +}