| #ifndef _OPENCV_LBPFEATURES_H_
|
| #define _OPENCV_LBPFEATURES_H_
|
|
|
| #include "traincascade_features.h"
|
|
|
| #define LBPF_NAME "lbpFeatureParams"
|
| struct CvLBPFeatureParams : CvFeatureParams
|
| {
|
| CvLBPFeatureParams();
|
|
|
| };
|
|
|
| class CvLBPEvaluator : public CvFeatureEvaluator
|
| {
|
| public:
|
| virtual ~CvLBPEvaluator() {}
|
| virtual void init(const CvFeatureParams *_featureParams,
|
| int _maxSampleCount, cv::Size _winSize );
|
| virtual void setImage(const cv::Mat& img, uchar clsLabel, int idx);
|
| virtual float operator()(int featureIdx, int sampleIdx) const
|
| { return (float)features[featureIdx].calc( sum, sampleIdx); }
|
| virtual void writeFeatures( cv::FileStorage &fs, const cv::Mat& featureMap ) const;
|
| protected:
|
| virtual void generateFeatures();
|
|
|
| class Feature
|
| {
|
| public:
|
| Feature();
|
| Feature( int offset, int x, int y, int _block_w, int _block_h );
|
| uchar calc( const cv::Mat& _sum, size_t y ) const;
|
| void write( cv::FileStorage &fs ) const;
|
|
|
| cv::Rect rect;
|
| int p[16];
|
| };
|
| std::vector<Feature> features;
|
|
|
| cv::Mat sum;
|
| };
|
|
|
| inline uchar CvLBPEvaluator::Feature::calc(const cv::Mat &_sum, size_t y) const
|
| {
|
| const int* psum = _sum.ptr<int>((int)y);
|
| int cval = psum[p[5]] - psum[p[6]] - psum[p[9]] + psum[p[10]];
|
|
|
| return (uchar)((psum[p[0]] - psum[p[1]] - psum[p[4]] + psum[p[5]] >= cval ? 128 : 0) |
|
| (psum[p[1]] - psum[p[2]] - psum[p[5]] + psum[p[6]] >= cval ? 64 : 0) |
|
| (psum[p[2]] - psum[p[3]] - psum[p[6]] + psum[p[7]] >= cval ? 32 : 0) |
|
| (psum[p[6]] - psum[p[7]] - psum[p[10]] + psum[p[11]] >= cval ? 16 : 0) |
|
| (psum[p[10]] - psum[p[11]] - psum[p[14]] + psum[p[15]] >= cval ? 8 : 0) |
|
| (psum[p[9]] - psum[p[10]] - psum[p[13]] + psum[p[14]] >= cval ? 4 : 0) |
|
| (psum[p[8]] - psum[p[9]] - psum[p[12]] + psum[p[13]] >= cval ? 2 : 0) |
|
| (psum[p[4]] - psum[p[5]] - psum[p[8]] + psum[p[9]] >= cval ? 1 : 0));
|
| }
|
|
|
| #endif
|
|
|