Update to 2.0.0 tree from current Fremantle build

[opencv] / interfaces / swig / octave / cvshadow.h

diff --git a/interfaces/swig/octave/cvshadow.h b/interfaces/swig/octave/cvshadow.h
new file mode 100644 (file)
index 0000000..ea226a7
--- /dev/null
+++ b/interfaces/swig/octave/cvshadow.h
@@ -0,0 +1,37 @@
+#ifndef CV_SHADOW_H
+#define CV_SHADOW_H
+
+#include <vector>
+#include "cxtypes.h"
+#include "cvtypes.h"
+#include "octcvseq.hpp"
+
+// modify cvCvtSeqToArray to take CvArr as input instead of raw data
+CvArr * cvCvtSeqToArray_Shadow( const CvSeq* seq, CvArr * elements, CvSlice slice=CV_WHOLE_SEQ);
+
+// formally overload ArcLength and cvContourPerimeter
+double cvArcLength_Shadow( const CvSeq * seq, CvSlice slice=CV_WHOLE_SEQ, int is_closed=-1);
+double cvArcLength_Shadow( const CvArr * arr, CvSlice slice=CV_WHOLE_SEQ, int is_closed=-1);
+
+// cvContourPerimeter is a macro, but this still works
+static double cvContourPerimeter_Shadow(CvSeq * seq){ return cvContourPerimeter( seq ); }
+static double cvContourPerimeter_Shadow(CvArr * arr){ return cvContourPerimeter( arr ); }
+
+// Return a typed sequence instead of generic CvSeq
+CvTypedSeq<CvRect> * cvHaarDetectObjects_Shadow( const CvArr* image, CvHaarClassifierCascade* cascade,
+        CvMemStorage* storage, double scale_factor=1.1, int min_neighbors=3, int flags=0,
+        CvSize min_size=cvSize(0,0) );
+CvTypedSeq<CvConnectedComp> *  cvSegmentMotion_Shadow( const CvArr* mhi, CvArr* seg_mask, CvMemStorage* storage,
+                                                                double timestamp, double seg_thresh );
+CvTypedSeq<CvPoint> * cvApproxPoly_Shadow( const void* src_seq, int header_size, CvMemStorage* storage,
+                                    int method, double parameter, int parameter2=0);
+
+// Always return a new Mat of indices
+CvMat * cvConvexHull2_Shadow( const CvArr * points, int orientation=CV_CLOCKWISE, 
+                                 int return_points=0);
+
+std::vector<CvPoint> cvSnakeImage_Shadow( const CvMat * image, std::vector<CvPoint>  points,
+               std::vector<float> alpha, std::vector<float> beta, std::vector<float> gamma, 
+               CvSize win, CvTermCriteria criteria, int calc_gradient=1 );
+
+#endif