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296 lines
11 KiB
C++
296 lines
11 KiB
C++
#ifndef _OPENCV_API_EXTRA_HPP_
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#define _OPENCV_API_EXTRA_HPP_
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#include "opencv2/core/core.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/imgproc/imgproc_c.h"
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#include "opencv2/calib3d/calib3d.hpp"
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namespace cv
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{
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template<typename _Tp>
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static inline void mv2vv(const vector<Mat>& src, vector<vector<_Tp> >& dst)
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{
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size_t i, n = src.size();
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dst.resize(src.size());
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for( i = 0; i < n; i++ )
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src[i].copyTo(dst[i]);
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}
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///////////////////////////// core /////////////////////////////
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CV_WRAP_AS(getTickCount) static inline double getTickCount_()
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{
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return (double)getTickCount();
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}
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CV_WRAP_AS(getCPUTickCount) static inline double getCPUTickCount_()
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{
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return (double)getCPUTickCount();
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}
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CV_WRAP void randShuffle(const Mat& src, CV_OUT Mat& dst, double iterFactor=1.)
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{
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src.copyTo(dst);
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randShuffle(dst, iterFactor, 0);
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}
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CV_WRAP static inline void SVDecomp(const Mat& src, CV_OUT Mat& w, CV_OUT Mat& u, CV_OUT Mat& vt, int flags=0 )
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{
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SVD::compute(src, w, u, vt, flags);
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}
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CV_WRAP static inline void SVBackSubst( const Mat& w, const Mat& u, const Mat& vt,
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const Mat& rhs, CV_OUT Mat& dst )
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{
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SVD::backSubst(w, u, vt, rhs, dst);
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}
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CV_WRAP static inline void mixChannels(const vector<Mat>& src, vector<Mat>& dst,
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const vector<int>& fromTo)
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{
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if(fromTo.empty())
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return;
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CV_Assert(fromTo.size()%2 == 0);
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mixChannels(&src[0], (int)src.size(), &dst[0], (int)dst.size(), &fromTo[0], (int)(fromTo.size()/2));
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}
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CV_WRAP static inline bool eigen(const Mat& src, bool computeEigenvectors,
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CV_OUT Mat& eigenvalues, CV_OUT Mat& eigenvectors,
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int lowindex=-1, int highindex=-1)
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{
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return computeEigenvectors ? eigen(src, eigenvalues, eigenvectors, lowindex, highindex) :
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eigen(src, eigenvalues, lowindex, highindex);
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}
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CV_WRAP static inline void fillConvexPoly(Mat& img, const Mat& points,
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const Scalar& color, int lineType=8,
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int shift=0)
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{
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CV_Assert(points.checkVector(2, CV_32S) >= 0);
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fillConvexPoly(img, (const Point*)points.data, points.rows*points.cols*points.channels()/2, color, lineType, shift);
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}
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CV_WRAP static inline void fillPoly(Mat& img, const vector<Mat>& pts,
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const Scalar& color, int lineType=8, int shift=0,
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Point offset=Point() )
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{
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if( pts.empty() )
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return;
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AutoBuffer<Point*> _ptsptr(pts.size());
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AutoBuffer<int> _npts(pts.size());
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Point** ptsptr = _ptsptr;
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int* npts = _npts;
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for( size_t i = 0; i < pts.size(); i++ )
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{
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const Mat& p = pts[i];
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CV_Assert(p.checkVector(2, CV_32S) >= 0);
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ptsptr[i] = (Point*)p.data;
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npts[i] = p.rows*p.cols*p.channels()/2;
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}
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fillPoly(img, (const Point**)ptsptr, npts, (int)pts.size(), color, lineType, shift, offset);
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}
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CV_WRAP static inline void polylines(Mat& img, const vector<Mat>& pts,
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bool isClosed, const Scalar& color,
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int thickness=1, int lineType=8, int shift=0 )
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{
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if( pts.empty() )
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return;
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AutoBuffer<Point*> _ptsptr(pts.size());
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AutoBuffer<int> _npts(pts.size());
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Point** ptsptr = _ptsptr;
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int* npts = _npts;
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for( size_t i = 0; i < pts.size(); i++ )
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{
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const Mat& p = pts[i];
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CV_Assert(p.checkVector(2, CV_32S) >= 0);
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ptsptr[i] = (Point*)p.data;
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npts[i] = p.rows*p.cols*p.channels()/2;
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}
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polylines(img, (const Point**)ptsptr, npts, (int)pts.size(), isClosed, color, thickness, lineType, shift);
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}
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CV_WRAP static inline void PCACompute(const Mat& data, CV_OUT Mat& mean,
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CV_OUT Mat& eigenvectors, int maxComponents=0)
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{
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PCA pca;
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pca.mean = mean;
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pca.eigenvectors = eigenvectors;
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pca(data, Mat(), 0, maxComponents);
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pca.mean.copyTo(mean);
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pca.eigenvectors.copyTo(eigenvectors);
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}
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CV_WRAP static inline void PCAProject(const Mat& data, const Mat& mean,
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const Mat& eigenvectors, CV_OUT Mat& result)
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{
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PCA pca;
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pca.mean = mean;
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pca.eigenvectors = eigenvectors;
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pca.project(data, result);
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}
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CV_WRAP static inline void PCABackProject(const Mat& data, const Mat& mean,
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const Mat& eigenvectors, CV_OUT Mat& result)
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{
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PCA pca;
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pca.mean = mean;
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pca.eigenvectors = eigenvectors;
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pca.backProject(data, result);
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}
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/////////////////////////// imgproc /////////////////////////////////
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CV_WRAP static inline void HuMoments(const Moments& m, CV_OUT vector<double>& hu)
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{
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hu.resize(7);
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HuMoments(m, &hu[0]);
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}
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CV_WRAP static inline Mat getPerspectiveTransform(const vector<Point2f>& src, const vector<Point2f>& dst)
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{
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CV_Assert(src.size() == 4 && dst.size() == 4);
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return getPerspectiveTransform(&src[0], &dst[0]);
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}
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CV_WRAP static inline Mat getAffineTransform(const vector<Point2f>& src, const vector<Point2f>& dst)
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{
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CV_Assert(src.size() == 3 && dst.size() == 3);
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return getAffineTransform(&src[0], &dst[0]);
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}
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CV_WRAP static inline void calcHist( const vector<Mat>& images, const vector<int>& channels,
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const Mat& mask, CV_OUT Mat& hist,
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const vector<int>& histSize,
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const vector<float>& ranges,
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bool accumulate=false)
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{
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int i, dims = (int)histSize.size(), rsz = (int)ranges.size(), csz = (int)channels.size();
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CV_Assert(images.size() > 0 && dims > 0);
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CV_Assert(rsz == dims*2 || (rsz == 0 && images[0].depth() == CV_8U));
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CV_Assert(csz == 0 || csz == dims);
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float* _ranges[CV_MAX_DIM];
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if( rsz > 0 )
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{
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for( i = 0; i < rsz/2; i++ )
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_ranges[i] = (float*)&ranges[i*2];
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}
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calcHist(&images[0], (int)images.size(), csz ? &channels[0] : 0,
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mask, hist, dims, &histSize[0], rsz ? (const float**)_ranges : 0,
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true, accumulate);
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}
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CV_WRAP void calcBackProject( const vector<Mat>& images, const vector<int>& channels,
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const Mat& hist, CV_OUT Mat& dst,
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const vector<float>& ranges,
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double scale=1 )
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{
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int i, dims = hist.dims, rsz = (int)ranges.size(), csz = (int)channels.size();
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CV_Assert(images.size() > 0);
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CV_Assert(rsz == dims*2 || (rsz == 0 && images[0].depth() == CV_8U));
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CV_Assert(csz == 0 || csz == dims);
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float* _ranges[CV_MAX_DIM];
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if( rsz > 0 )
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{
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for( i = 0; i < rsz/2; i++ )
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_ranges[i] = (float*)&ranges[i*2];
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}
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calcBackProject(&images[0], (int)images.size(), csz ? &channels[0] : 0,
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hist, dst, rsz ? (const float**)_ranges : 0, scale, true);
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}
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/////////////////////////////// calib3d ///////////////////////////////////////////
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//! finds circles' grid pattern of the specified size in the image
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CV_WRAP static inline void findCirclesGridDefault( InputArray image, Size patternSize,
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OutputArray centers, int flags=CALIB_CB_SYMMETRIC_GRID )
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{
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findCirclesGrid(image, patternSize, centers, flags);
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}
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/*
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//! initializes camera matrix from a few 3D points and the corresponding projections.
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CV_WRAP static inline Mat initCameraMatrix2D( const vector<Mat>& objectPoints,
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const vector<Mat>& imagePoints,
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Size imageSize, double aspectRatio=1. )
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{
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vector<vector<Point3f> > _objectPoints;
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vector<vector<Point2f> > _imagePoints;
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mv2vv(objectPoints, _objectPoints);
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mv2vv(imagePoints, _imagePoints);
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return initCameraMatrix2D(_objectPoints, _imagePoints, imageSize, aspectRatio);
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}
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CV_WRAP static inline double calibrateCamera( const vector<Mat>& objectPoints,
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const vector<Mat>& imagePoints,
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Size imageSize,
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CV_IN_OUT Mat& cameraMatrix,
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CV_IN_OUT Mat& distCoeffs,
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vector<Mat>& rvecs, vector<Mat>& tvecs,
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int flags=0 )
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{
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vector<vector<Point3f> > _objectPoints;
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vector<vector<Point2f> > _imagePoints;
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mv2vv(objectPoints, _objectPoints);
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mv2vv(imagePoints, _imagePoints);
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return calibrateCamera(_objectPoints, _imagePoints, imageSize, cameraMatrix, distCoeffs, rvecs, tvecs, flags);
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}
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CV_WRAP static inline double stereoCalibrate( const vector<Mat>& objectPoints,
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const vector<Mat>& imagePoints1,
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const vector<Mat>& imagePoints2,
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CV_IN_OUT Mat& cameraMatrix1, CV_IN_OUT Mat& distCoeffs1,
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CV_IN_OUT Mat& cameraMatrix2, CV_IN_OUT Mat& distCoeffs2,
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Size imageSize, CV_OUT Mat& R, CV_OUT Mat& T,
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CV_OUT Mat& E, CV_OUT Mat& F,
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TermCriteria criteria = TermCriteria(TermCriteria::COUNT+
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TermCriteria::EPS, 30, 1e-6),
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int flags=CALIB_FIX_INTRINSIC )
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{
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vector<vector<Point3f> > _objectPoints;
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vector<vector<Point2f> > _imagePoints1;
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vector<vector<Point2f> > _imagePoints2;
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mv2vv(objectPoints, _objectPoints);
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mv2vv(imagePoints1, _imagePoints1);
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mv2vv(imagePoints2, _imagePoints2);
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return stereoCalibrate(_objectPoints, _imagePoints1, _imagePoints2, cameraMatrix1, distCoeffs1,
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cameraMatrix2, distCoeffs2, imageSize, R, T, E, F, criteria, flags);
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}
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CV_WRAP static inline float rectify3Collinear( const Mat& cameraMatrix1, const Mat& distCoeffs1,
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const Mat& cameraMatrix2, const Mat& distCoeffs2,
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const Mat& cameraMatrix3, const Mat& distCoeffs3,
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const vector<Mat>& imgpt1, const vector<Mat>& imgpt3,
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Size imageSize, const Mat& R12, const Mat& T12,
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const Mat& R13, const Mat& T13,
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CV_OUT Mat& R1, CV_OUT Mat& R2, CV_OUT Mat& R3,
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CV_OUT Mat& P1, CV_OUT Mat& P2, CV_OUT Mat& P3, CV_OUT Mat& Q,
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double alpha, Size newImgSize,
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CV_OUT Rect* roi1, CV_OUT Rect* roi2, int flags )
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{
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vector<vector<Point2f> > _imagePoints1;
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vector<vector<Point2f> > _imagePoints3;
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mv2vv(imgpt1, _imagePoints1);
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mv2vv(imgpt3, _imagePoints3);
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return rectify3Collinear(cameraMatrix1, distCoeffs1,
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cameraMatrix2, distCoeffs2,
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cameraMatrix3, distCoeffs3,
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_imagePoints1, _imagePoints3, imageSize,
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R12, T12, R13, T13, R1, R2, R3, P1, P2, P3,
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Q, alpha, newImgSize, roi1, roi2, flags);
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}
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*/
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}
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#endif
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