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30 lines
1.4 KiB
C
30 lines
1.4 KiB
C
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#ifndef CV_SHADOW_H
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#define CV_SHADOW_H
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#include <vector>
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#include "cxtypes.h"
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#include "cvtypes.h"
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#include "pycvseq.hpp"
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// modify cvCvtSeqToArray to take CvArr as input instead of raw data
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CvArr * cvCvtSeqToArray_Shadow( const CvSeq* seq, CvArr * elements, CvSlice slice=CV_WHOLE_SEQ);
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// Return a typed sequence instead of generic CvSeq
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CvTypedSeq<CvRect> * cvHaarDetectObjects_Shadow( const CvArr* image, CvHaarClassifierCascade* cascade,
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CvMemStorage* storage, double scale_factor=1.1, int min_neighbors=3, int flags=0,
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CvSize min_size=cvSize(0,0) );
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CvTypedSeq<CvConnectedComp> * cvSegmentMotion_Shadow( const CvArr* mhi, CvArr* seg_mask, CvMemStorage* storage,
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double timestamp, double seg_thresh );
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CvTypedSeq<CvPoint> * cvApproxPoly_Shadow( const void* src_seq, int header_size, CvMemStorage* storage,
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int method, double parameter, int parameter2=0);
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// Always return a new Mat of indices
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CvMat * cvConvexHull2_Shadow( const CvArr * points, int orientation=CV_CLOCKWISE,
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int return_points=0);
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std::vector<CvPoint> cvSnakeImage_Shadow( const CvMat * image, std::vector<CvPoint> points,
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std::vector<float> alpha, std::vector<float> beta, std::vector<float> gamma,
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CvSize win, CvTermCriteria criteria, int calc_gradient=1 );
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#endif
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