#include <cxcore.h>
#include <cv.h>
#include <stdio.h>
#include "cvshadow.h"

CvArr * cvCvtSeqToArray_Shadow( const CvSeq* seq, CvArr * elements, CvSlice slice){
  CvMat stub, *mat=(CvMat *)elements;
  if(!CV_IS_MAT(mat)){
    mat = cvGetMat(elements, &stub);
  }
  cvCvtSeqToArray( seq, mat->data.ptr, slice );
  return elements;
}

double cvArcLength_Shadow( const CvSeq * seq, CvSlice slice, int is_closed){
  return cvArcLength( seq, slice, is_closed );
}
double cvArcLength_Shadow( const CvArr * arr, CvSlice slice, int is_closed){
  return cvArcLength( arr, slice, is_closed );
}

CvTypedSeq<CvRect> * cvHaarDetectObjects_Shadow( const CvArr* image, CvHaarClassifierCascade* cascade,
						 CvMemStorage* storage, double scale_factor, int min_neighbors, int flags,
						 CvSize min_size )
{
  return (CvTypedSeq<CvRect> *) cvHaarDetectObjects( image, cascade, storage, scale_factor,
						     min_neighbors, flags, min_size);
}

CvTypedSeq<CvConnectedComp> *  cvSegmentMotion_Shadow( const CvArr* mhi, CvArr* seg_mask, CvMemStorage* storage,
						       double timestamp, double seg_thresh ){
  return (CvTypedSeq<CvConnectedComp> *) cvSegmentMotion( mhi, seg_mask, storage, timestamp, seg_thresh );
}

CvTypedSeq<CvPoint> * cvApproxPoly_Shadow( const void* src_seq, int header_size, CvMemStorage* storage,
					   int method, double parameter, int parameter2)
{
  return (CvTypedSeq<CvPoint> *) cvApproxPoly( src_seq, header_size, storage, method, parameter, parameter2 );
}

// Always return a new Mat of indices
CvMat * cvConvexHull2_Shadow( const CvArr * points, int orientation, int return_points){
  CvMat * hull;
  CvMat * points_mat=(CvMat *) points;
  CvSeq * points_seq=(CvSeq *) points;
  int npoints, type;

  CV_FUNCNAME("cvConvexHull2");

  __BEGIN__;

  if(CV_IS_MAT(points_mat)){
    npoints = MAX(points_mat->rows, points_mat->cols);
    type = return_points ? points_mat->type : CV_32S;
  }
  else if(CV_IS_SEQ(points_seq)){
    npoints = points_seq->total;
    type = return_points ? CV_SEQ_ELTYPE(points_seq) : 1;
  }
  else{
    CV_ERROR(CV_StsBadArg, "points must be a CvSeq or CvMat");
  }
  CV_CALL( hull=cvCreateMat(1,npoints,type) );
  CV_CALL( cvConvexHull2(points, hull, orientation, return_points) );
	
  __END__;
  return hull;
}
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 ){
  IplImage ipl_stub;
  CV_FUNCNAME("cvSnakeImage_Shadow");
	
  __BEGIN__;

  cvSnakeImage( cvGetImage(image, &ipl_stub), &(points[0]), points.size(), 
		&((alpha)[0]), &((beta)[0]), &((gamma)[0]), 
		(alpha.size()>1 && beta.size()>1 && gamma.size()>1 ? CV_ARRAY : CV_VALUE), 
		win, criteria, calc_gradient );

  __END__;
  return points;
}