git.maemo.org Git - opencv/blob - interfaces/swig/python/cvshadow.cpp

   1 #include <cxcore.h>
   2 #include <cv.h>
   3 #include <stdio.h>
   4 #include "cvshadow.h"
   5
   6 CvArr * cvCvtSeqToArray_Shadow( const CvSeq* seq, CvArr * elements, CvSlice slice){
   7         CvMat stub, *mat=(CvMat *)elements;
   8         if(!CV_IS_MAT(mat)){
   9             mat = cvGetMat(elements, &stub);
  10         }
  11         cvCvtSeqToArray( seq, mat->data.ptr, slice );
  12         return elements;
  13     }
  14
  15 double cvArcLength_Shadow( const CvSeq * seq, CvSlice slice, int is_closed){
  16     return cvArcLength( seq, slice, is_closed );
  17 }
  18 double cvArcLength_Shadow( const CvArr * arr, CvSlice slice, int is_closed){
  19     return cvArcLength( arr, slice, is_closed );
  20 }
  21
  22 CvTypedSeq<CvRect> * cvHaarDetectObjects_Shadow( const CvArr* image, CvHaarClassifierCascade* cascade,
  23         CvMemStorage* storage, double scale_factor, int min_neighbors, int flags,
  24         CvSize min_size )
  25 {
  26         return (CvTypedSeq<CvRect> *) cvHaarDetectObjects( image, cascade, storage, scale_factor,
  27                                                                 min_neighbors, flags, min_size);
  28 }
  29
  30 CvTypedSeq<CvConnectedComp> *  cvSegmentMotion_Shadow( const CvArr* mhi, CvArr* seg_mask, CvMemStorage* storage,
  31                                                                 double timestamp, double seg_thresh ){
  32     return (CvTypedSeq<CvConnectedComp> *) cvSegmentMotion( mhi, seg_mask, storage, timestamp, seg_thresh );
  33 }
  34
  35 CvTypedSeq<CvPoint> * cvApproxPoly_Shadow( const void* src_seq, int header_size, CvMemStorage* storage,
  36                                     int method, double parameter, int parameter2)
  37 {
  38     return (CvTypedSeq<CvPoint> *) cvApproxPoly( src_seq, header_size, storage, method, parameter, parameter2 );
  39 }
  40
  41 // Always return a new Mat of indices
  42 CvMat * cvConvexHull2_Shadow( const CvArr * points, int orientation, int return_points){
  43         CvMat * hull;
  44         CvMat * points_mat=(CvMat *) points;
  45         CvSeq * points_seq=(CvSeq *) points;
  46         int npoints, type;
  47
  48         CV_FUNCNAME("cvConvexHull2");
  49
  50         __BEGIN__;
  51
  52         if(CV_IS_MAT(points_mat)){
  53                 npoints = MAX(points_mat->rows, points_mat->cols);
  54                 type = return_points ? points_mat->type : CV_32S;
  55         }
  56         else if(CV_IS_SEQ(points_seq)){
  57                 npoints = points_seq->total;
  58                 type = return_points ? CV_SEQ_ELTYPE(points_seq) : 1;
  59         }
  60         else{
  61                 CV_ERROR(CV_StsBadArg, "points must be a CvSeq or CvMat");
  62         }
  63         CV_CALL( hull=cvCreateMat(1,npoints,type) );
  64         CV_CALL( cvConvexHull2(points, hull, orientation, return_points) );
  65
  66         __END__;
  67         return hull;
  68 }
  69 std::vector<CvPoint> cvSnakeImage_Shadow( const CvMat * image, std::vector<CvPoint>  points,
  70                 std::vector<float> alpha, std::vector<float> beta,
  71                 std::vector<float> gamma,
  72                 CvSize win, CvTermCriteria criteria, int calc_gradient ){
  73         IplImage ipl_stub;
  74         CV_FUNCNAME("cvSnakeImage_Shadow");
  75
  76         __BEGIN__;
  77
  78         cvSnakeImage( cvGetImage(image, &ipl_stub), &(points[0]), points.size(),
  79                               &((alpha)[0]), &((beta)[0]), &((gamma)[0]),
  80                                   (alpha.size()>1 && beta.size()>1 && gamma.size()>1 ? CV_ARRAY : CV_VALUE),
  81                                   win, criteria, calc_gradient );
  82
  83         __END__;
  84         return points;
  85 }