Update to 2.0.0 tree from current Fremantle build

[opencv] / apps / traincascade / lbpfeatures.h

diff --git a/apps/traincascade/lbpfeatures.h b/apps/traincascade/lbpfeatures.h
new file mode 100755 (executable)
index 0000000..0496671
--- /dev/null
+++ b/apps/traincascade/lbpfeatures.h
@@ -0,0 +1,57 @@
+#ifndef _OPENCV_LBPFEATURES_H_
+#define _OPENCV_LBPFEATURES_H_
+
+#include "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, Size _winSize );
+    virtual void setImage(const Mat& img, uchar clsLabel, int idx);
+    virtual float operator()(int featureIdx, int sampleIdx) const
+    { return (float)features[featureIdx].calc( sum, sampleIdx); }
+    virtual void writeFeatures( FileStorage &fs, const 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 Mat& _sum, size_t y ) const;
+        void write( FileStorage &fs ) const;
+
+        Rect rect;
+        int p[16];
+    };
+    vector<Feature> features;
+
+    Mat sum;
+};
+
+inline uchar CvLBPEvaluator::Feature::calc(const Mat &_sum, size_t y) const
+{
+    const int* sum = _sum.ptr<int>((int)y);
+    int cval = sum[p[5]] - sum[p[6]] - sum[p[9]] + sum[p[10]];
+
+    return (uchar)((sum[p[0]] - sum[p[1]] - sum[p[4]] + sum[p[5]] >= cval ? 128 : 0) |   // 0
+        (sum[p[1]] - sum[p[2]] - sum[p[5]] + sum[p[6]] >= cval ? 64 : 0) |    // 1
+        (sum[p[2]] - sum[p[3]] - sum[p[6]] + sum[p[7]] >= cval ? 32 : 0) |    // 2
+        (sum[p[6]] - sum[p[7]] - sum[p[10]] + sum[p[11]] >= cval ? 16 : 0) |  // 5
+        (sum[p[10]] - sum[p[11]] - sum[p[14]] + sum[p[15]] >= cval ? 8 : 0) | // 8
+        (sum[p[9]] - sum[p[10]] - sum[p[13]] + sum[p[14]] >= cval ? 4 : 0) |  // 7
+        (sum[p[8]] - sum[p[9]] - sum[p[12]] + sum[p[13]] >= cval ? 2 : 0) |   // 6
+        (sum[p[4]] - sum[p[5]] - sum[p[8]] + sum[p[9]] >= cval ? 1 : 0));     // 3
+}
+
+#endif