本文整理汇总了C++中CV_ASSERT函数的典型用法代码示例。如果您正苦于以下问题：C++ CV_ASSERT函数的具体用法？C++ CV_ASSERT怎么用？C++ CV_ASSERT使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了CV_ASSERT函数的20个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的C++代码示例。
示例1: cvGetLabel
CvLabel cvGetLabel(IplImage const *img, unsigned int x, unsigned int y)
{
CV_FUNCNAME("cvGetLabel");
__CV_BEGIN__;
{
CV_ASSERT(img&&(img->depth==IPL_DEPTH_LABEL)&&(img->nChannels==1));
int step = img->widthStep / (img->depth / 8);
int img_width = 0;
int img_height= 0;
int img_offset = 0;
if(img->roi)
{
img_width = img->roi->width;
img_height = img->roi->height;
img_offset = img->roi->xOffset + (img->roi->yOffset * step);
}
else
{
img_width = img->width;
img_height= img->height;
}
CV_ASSERT((x>=0)&&(x<img_width)&&(y>=0)&&(y<img_height));
return ((CvLabel *)(img->imageData + img_offset))[x + y*step];
}
__CV_END__;
}
开发者ID:lukaijovana，项目名称:Parking_slobodna_mesta_project，代码行数:29，代码来源:cvlabel.cpp
示例2: cvRenderBlobs
void cvRenderBlobs(const IplImage *imgLabel, CvBlobs &blobs, IplImage *imgSource, IplImage *imgDest, unsigned short mode, double alpha)
{
CV_FUNCNAME("cvRenderBlobs");
__CV_BEGIN__;
{
CV_ASSERT(imgLabel&&(imgLabel->depth==IPL_DEPTH_LABEL)&&(imgLabel->nChannels==1));
CV_ASSERT(imgDest&&(imgDest->depth==IPL_DEPTH_8U)&&(imgDest->nChannels==3));
Palete pal;
if (mode&CV_BLOB_RENDER_COLOR)
{
unsigned int colorCount = 0;
for (CvBlobs::const_iterator it=blobs.begin(); it!=blobs.end(); ++it)
{
CvLabel label = (*it).second->label;
double r, g, b;
_HSV2RGB_((double)((colorCount*77)%360), .5, 1., r, g, b);
colorCount++;
pal[label] = CV_RGB(r, g, b);
}
}
for (CvBlobs::iterator it=blobs.begin(); it!=blobs.end(); ++it)
cvRenderBlob(imgLabel, (*it).second, imgSource, imgDest, mode, pal[(*it).second->label], alpha);
}
__CV_END__;
}
开发者ID:panpeter90，项目名称:GUI，代码行数:32，代码来源:cvblob.cpp
示例3: CV_FUNCNAME
CvContourPolygon *cvSimplifyPolygon(CvContourPolygon const *p, double const delta)
{
CV_FUNCNAME("cvSimplifyPolygon");
__CV_BEGIN__;
{
CV_ASSERT(p!=NULL);
CV_ASSERT(p->size()>2);
double furtherDistance=0.;
unsigned int furtherIndex=0;
CvContourPolygon::const_iterator it=p->begin();
++it;
for (unsigned int i=1; it!=p->end(); ++it, i++)
{
double d = cvDistancePointPoint(*it, p->front());
if (d>furtherDistance)
{
furtherDistance = d;
furtherIndex = i;
}
}
if (furtherDistance<delta)
{
CvContourPolygon *result = new CvContourPolygon;
result->push_back(p->front());
return result;
}
bool *pnUseFlag = new bool[p->size()];
for (int i=1; i<p->size(); i++) pnUseFlag[i] = false;
pnUseFlag[0] = pnUseFlag[furtherIndex] = true;
simplifyPolygonRecursive(p, 0, furtherIndex, pnUseFlag, delta);
simplifyPolygonRecursive(p, furtherIndex, -1, pnUseFlag, delta);
CvContourPolygon *result = new CvContourPolygon;
for (int i=0; i<p->size(); i++)
if (pnUseFlag[i])
result->push_back((*p)[i]);
delete[] pnUseFlag;
return result;
}
__CV_END__;
}
开发者ID:markschultz，项目名称:EECS-376-Alpha，代码行数:51，代码来源:cvcontour.cpp
示例4: cvFilterLabels
void cvFilterLabels(IplImage *imgIn, IplImage *imgOut, const CvBlobs &blobs)
{
CV_FUNCNAME("cvFilterLabels");
__CV_BEGIN__;
{
CV_ASSERT(imgIn&&(imgIn->depth==IPL_DEPTH_LABEL)&&(imgIn->nChannels==1));
CV_ASSERT(imgOut&&(imgOut->depth==IPL_DEPTH_8U)&&(imgOut->nChannels==1));
int stepIn = imgIn->widthStep / (imgIn->depth / 8);
int stepOut = imgOut->widthStep / (imgOut->depth / 8);
int imgIn_width = imgIn->width;
int imgIn_height = imgIn->height;
int imgIn_offset = 0;
int imgOut_width = imgOut->width;
int imgOut_height = imgOut->height;
int imgOut_offset = 0;
if(imgIn->roi)
{
imgIn_width = imgIn->roi->width;
imgIn_height = imgIn->roi->height;
imgIn_offset = imgIn->roi->xOffset + (imgIn->roi->yOffset * stepIn);
}
if(imgOut->roi)
{
imgOut_width = imgOut->roi->width;
imgOut_height = imgOut->roi->height;
imgOut_offset = imgOut->roi->xOffset + (imgOut->roi->yOffset * stepOut);
}
char *imgDataOut=imgOut->imageData + imgOut_offset;
CvLabel *imgDataIn=(CvLabel *)imgIn->imageData + imgIn_offset;
for (unsigned int r=0;r<(unsigned int)imgIn_height;r++,
imgDataIn+=stepIn,imgDataOut+=stepOut)
{
for (unsigned int c=0;c<(unsigned int)imgIn_width;c++)
{
if (imgDataIn[c])
{
if (blobs.find(imgDataIn[c])==blobs.end()) imgDataOut[c]=0x00;
else imgDataOut[c]=(char)0xff;
}
else
imgDataOut[c]=0x00;
}
}
}
__CV_END__;
}
开发者ID:lukaijovana，项目名称:Parking_slobodna_mesta_project，代码行数:49，代码来源:cvlabel.cpp
示例5: cvRenderContourPolygon
void cvRenderContourPolygon(CvContourPolygon const *contour, IplImage *img, CvScalar const &color)
{
CV_FUNCNAME("cvRenderContourPolygon");
__CV_BEGIN__;
{
CV_ASSERT(img&&(img->depth==IPL_DEPTH_8U)&&(img->nChannels==3));
CvContourPolygon::const_iterator it=contour->begin();
if (it!=contour->end())
{
unsigned int fx, x, fy, y;
fx = x = it->x;
fy = y = it->y;
for (; it!=contour->end(); ++it)
{
cvLine(img, cvPoint(x, y), cvPoint(it->x, it->y), color, 1);
x = it->x;
y = it->y;
}
cvLine(img, cvPoint(x, y), cvPoint(fx, fy), color, 1);
}
}
__CV_END__;
}
开发者ID:yzbx，项目名称:opencv-qt，代码行数:27，代码来源:cvcontour.cpp
示例6: cvContourPolygonArea
double cvContourPolygonArea(CvContourPolygon const *p)
{
CV_FUNCNAME("cvContourPolygonArea");
__CV_BEGIN__;
{
CV_ASSERT(p!=NULL);
if (p->size()<=2)
return 1.;
CvContourPolygon::const_iterator it=p->begin();
CvPoint lastPoint = p->back();
double a = 0.;
for (; it!=p->end(); ++it)
{
a += lastPoint.x*it->y - lastPoint.y*it->x;
lastPoint = *it;
}
return a*0.5;
}
__CV_END__;
}
开发者ID:yzbx，项目名称:opencv-qt，代码行数:25，代码来源:cvcontour.cpp
示例7: cvContourPolygonPerimeter
double cvContourPolygonPerimeter(CvContourPolygon const *p)
{
CV_FUNCNAME("cvContourPolygonPerimeter");
__CV_BEGIN__;
{
CV_ASSERT(p!=NULL);
CV_ASSERT(p->size()>2);
double perimeter = cvDistancePointPoint((*p)[p->size()-1], (*p)[0]);
for (int i=0; i<p->size()-1; i++)
perimeter+=cvDistancePointPoint((*p)[i], (*p)[i+1]);
return perimeter;
}
__CV_END__;
}
开发者ID:markschultz，项目名称:EECS-376-Alpha，代码行数:17，代码来源:cvcontour.cpp
示例8: cvSoftmax
//! assuming row vectors (a row is a sample)
void cvSoftmax(CvMat * src, CvMat * dst){
CV_FUNCNAME("cvSoftmax");
__BEGIN__;
CV_ASSERT(cvCountNAN(src)<1);
cvExp(src,dst);
CV_ASSERT(cvCountNAN(dst)<1);
const int dtype = CV_MAT_TYPE(src->type);
CvMat * sum = cvCreateMat(src->rows,1,dtype);
CvMat * sum_repeat = cvCreateMat(src->rows,src->cols,dtype);
cvReduce(dst,sum,-1,CV_REDUCE_SUM);
CV_ASSERT(cvCountNAN(sum)<1);
cvRepeat(sum,sum_repeat);
cvDiv(dst,sum_repeat,dst);
cvReleaseMat(&sum);
cvReleaseMat(&sum_repeat);
__END__;
}
开发者ID:liangfu，项目名称:dnn，代码行数:18，代码来源:softmax_layer.cpp
示例9: cvAngle
// Returns radians
double cvAngle(CvBlob *blob)
{
CV_FUNCNAME("cvAngle");
__CV_BEGIN__;
CV_ASSERT(blob->centralMoments);
return .5*atan2(2.*blob->u11,(blob->u20-blob->u02));
__CV_END__;
}
开发者ID:UBC-Snowbots，项目名称:IARRC2010，代码行数:12，代码来源:cvblob.cpp
示例10: cvRenderBlobs
void cvRenderBlobs(const IplImage *imgLabel, CvBlob blob, IplImage *imgSource, IplImage *imgDest, unsigned short mode, double alpha)
{
CV_FUNCNAME("cvRenderBlobs");
__CV_BEGIN__;
{
CV_ASSERT(imgLabel&&(imgLabel->depth==IPL_DEPTH_LABEL)&&(imgLabel->nChannels==1));
CV_ASSERT(imgDest&&(imgDest->depth==IPL_DEPTH_8U)&&(imgDest->nChannels==3));
Palete pal;
if (mode&CV_BLOB_RENDER_COLOR)
{
CvLabel label = blob.label;
pal[label] = CV_RGB(255, 255, 255);
}
cvRenderBlob(imgLabel, &blob, imgSource, imgDest, mode, pal[blob.label], alpha);
}
__CV_END__;
}
开发者ID:velveteenrobot，项目名称:fydp_demo，代码行数:21，代码来源:cvblob.cpp
示例11: cvContourPolygonCircularity
double cvContourPolygonCircularity(const CvContourPolygon *p)
{
CV_FUNCNAME("cvContourPolygonCircularity");
__CV_BEGIN__;
{
CV_ASSERT(p!=NULL);
double l = cvContourPolygonPerimeter(p);
double c = (l*l/cvContourPolygonArea(p)) - 4.*pi;
if (c>=0.)
return c;
else // This could happen if the blob it's only a pixel: the perimeter will be 0. Another solution would be to force "cvContourPolygonPerimeter" to be 1 or greater.
return 0.;
}
__CV_END__;
}
开发者ID:yzbx，项目名称:opencv-qt，代码行数:17，代码来源:cvcontour.cpp
示例12: cvCentralMoments
void cvCentralMoments(CvBlob *blob, const IplImage *img)
{
CV_FUNCNAME("cvCentralMoments");
__CV_BEGIN__;
if (!blob->centralMoments)
{
CV_ASSERT(img&&(img->depth==IPL_DEPTH_LABEL)&&(img->nChannels==1));
//cvCentroid(blob); // Here?
blob->u11=blob->u20=blob->u02=0.;
// Only in the bounding box
int stepIn = img->widthStep / (img->depth / 8);
int img_width = img->width;
int img_height = img->height;
int img_offset = 0;
if(0 != img->roi)
{
img_width = img->roi->width;
img_height = img->roi->height;
img_offset = img->roi->xOffset + (img->roi->yOffset * stepIn);
}
CvLabel *imgData=(CvLabel *)img->imageData + (blob->miny * stepIn) + img_offset;
for (unsigned int r=blob->miny;
r<blob->maxy;
r++,imgData+=stepIn)
for (unsigned int c=blob->minx;c<blob->maxx;c++)
if (imgData[c]==blob->label)
{
double tx=(c-blob->centroid.x);
double ty=(r-blob->centroid.y);
blob->u11+=tx*ty;
blob->u20+=tx*tx;
blob->u02+=ty*ty;
}
blob->centralMoments = true;
}
__CV_END__;
}
开发者ID:UBC-Snowbots，项目名称:IARRC2010，代码行数:42，代码来源:cvblob.cpp
示例13: cvContourChainCodePerimeter
double cvContourChainCodePerimeter(CvContourChainCode const *c)
{
CV_FUNCNAME("cvContourChainCodePerimeter");
__CV_BEGIN__;
{
CV_ASSERT(c!=NULL);
double perimeter = 0.;
for(CvChainCodes::const_iterator it=c->chainCode.begin(); it!=c->chainCode.end(); ++it)
{
if ((*it)%2)
perimeter+=sqrt(1.+1.);
else
perimeter+=1.;
}
return perimeter;
}
__CV_END__;
}
开发者ID:yzbx，项目名称:opencv-qt，代码行数:21，代码来源:cvcontour.cpp
示例14: CV_FUNCNAME
CvContourPolygon *cvConvertChainCodesToPolygon(CvContourChainCode const *cc)
{
CV_FUNCNAME("cvConvertChainCodesToPolygon");
__CV_BEGIN__;
{
CV_ASSERT(cc!=NULL);
CvContourPolygon *contour = new CvContourPolygon;
unsigned int x = cc->startingPoint.x;
unsigned int y = cc->startingPoint.y;
contour->push_back(cvPoint(x, y));
if (cc->chainCode.size())
{
CvChainCodes::const_iterator it=cc->chainCode.begin();
CvChainCode lastCode = *it;
x += cvChainCodeMoves[*it][0];
y += cvChainCodeMoves[*it][1];
++it;
for (; it!=cc->chainCode.end(); ++it)
{
if (lastCode!=*it)
{
contour->push_back(cvPoint(x, y));
lastCode=*it;
}
x += cvChainCodeMoves[*it][0];
y += cvChainCodeMoves[*it][1];
}
}
return contour;
}
__CV_END__;
}
开发者ID:yzbx，项目名称:opencv-qt，代码行数:40，代码来源:cvcontour.cpp
示例15: icvConvertLabels
CvMat * icvConvertLabels(CvMat * src)
{
CV_FUNCNAME("icvConvertLabels");
CvMat * dst = 0;
__BEGIN__;
const int nsamples = src->rows;
const int ntargets = 5;
const int nclasses = 10; // decimal
const int nparams = 4;
CV_ASSERT(CV_MAT_TYPE(src->type)==CV_32S);
dst = cvCreateMat(nsamples,(ntargets+1)*nclasses,CV_32F); cvZero(dst);
for (int ii=0;ii<nsamples;ii++){
int nlabels = CV_MAT_ELEM(*src,int,ii,0);
CV_MAT_ELEM(*dst,float,ii,nlabels)=1;
for (int jj=0;jj<nlabels;jj++){
int label = CV_MAT_ELEM(*src,int,ii,1+nparams*jj+3); // label
CV_MAT_ELEM(*dst,float,ii,10+nclasses*jj+label)=1;
}
}
__END__;
return dst;
}
开发者ID:liangfu，项目名称:dnn，代码行数:22，代码来源:transfer_svhn_dram.cpp
示例16: cvRenderContourChainCode
void cvRenderContourChainCode(CvContourChainCode const *contour, IplImage const *img, CvScalar const &color)
{
CV_FUNCNAME("cvRenderContourChainCode");
__CV_BEGIN__;
{
CV_ASSERT(img&&(img->depth==IPL_DEPTH_8U)&&(img->nChannels==3));
int stepDst = img->widthStep/(img->depth/8);
int img_width = img->width;
int img_height = img->height;
int img_offset = 0;
if(img->roi)
{
img_width = img->roi->width;
img_height = img->roi->height;
img_offset = (img->nChannels * img->roi->xOffset) + (img->roi->yOffset * stepDst);
}
unsigned char *imgData = (unsigned char *)img->imageData + img_offset;
unsigned int x = contour->startingPoint.x;
unsigned int y = contour->startingPoint.y;
for (CvChainCodes::const_iterator it=contour->chainCode.begin(); it!=contour->chainCode.end(); ++it)
{
imgData[img->nChannels*x+img->widthStep*y+0] = (unsigned char)(color.val[0]); // Blue
imgData[img->nChannels*x+img->widthStep*y+1] = (unsigned char)(color.val[1]); // Green
imgData[img->nChannels*x+img->widthStep*y+2] = (unsigned char)(color.val[2]); // Red
x += cvChainCodeMoves[*it][0];
y += cvChainCodeMoves[*it][1];
}
}
__CV_END__;
}
开发者ID:yzbx，项目名称:opencv-qt，代码行数:36，代码来源:cvcontour.cpp
示例17: cvInitUndistortRectifyMap
void
cvInitUndistortRectifyMap( const CvMat* A, const CvMat* distCoeffs,
const CvMat *R, const CvMat* Ar, CvArr* mapxarr, CvArr* mapyarr )
{
CV_FUNCNAME( "cvInitUndistortMap" );
__BEGIN__;
double a[9], ar[9], r[9], ir[9], k[5]={0,0,0,0,0};
int coi1 = 0, coi2 = 0;
CvMat mapxstub, *_mapx = (CvMat*)mapxarr;
CvMat mapystub, *_mapy = (CvMat*)mapyarr;
CvMat _a = cvMat( 3, 3, CV_64F, a );
CvMat _k = cvMat( 4, 1, CV_64F, k );
CvMat _ar = cvMat( 3, 3, CV_64F, ar );
CvMat _r = cvMat( 3, 3, CV_64F, r );
CvMat _ir = cvMat( 3, 3, CV_64F, ir );
int i, j;
double fx, fy, u0, v0, k1, k2, k3, p1, p2;
CvSize size;
CV_CALL( _mapx = cvGetMat( _mapx, &mapxstub, &coi1 ));
CV_CALL( _mapy = cvGetMat( _mapy, &mapystub, &coi2 ));
if( coi1 != 0 || coi2 != 0 )
CV_ERROR( CV_BadCOI, "The function does not support COI" );
if( CV_MAT_TYPE(_mapx->type) != CV_32FC1 )
CV_ERROR( CV_StsUnsupportedFormat, "Both maps must have 32fC1 type" );
if( !CV_ARE_TYPES_EQ( _mapx, _mapy ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( !CV_ARE_SIZES_EQ( _mapx, _mapy ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
if( A )
{
if( !CV_IS_MAT(A) || A->rows != 3 || A->cols != 3 ||
(CV_MAT_TYPE(A->type) != CV_32FC1 && CV_MAT_TYPE(A->type) != CV_64FC1) )
CV_ERROR( CV_StsBadArg, "Intrinsic matrix must be a valid 3x3 floating-point matrix" );
cvConvert( A, &_a );
}
else
cvSetIdentity( &_a );
if( Ar )
{
CvMat Ar33;
if( !CV_IS_MAT(Ar) || Ar->rows != 3 || (Ar->cols != 3 && Ar->cols != 4) ||
(CV_MAT_TYPE(Ar->type) != CV_32FC1 && CV_MAT_TYPE(Ar->type) != CV_64FC1) )
CV_ERROR( CV_StsBadArg, "The new intrinsic matrix must be a valid 3x3 floating-point matrix" );
cvGetCols( Ar, &Ar33, 0, 3 );
cvConvert( &Ar33, &_ar );
}
else
cvSetIdentity( &_ar );
if( !CV_IS_MAT(R) || R->rows != 3 || R->cols != 3 ||
(CV_MAT_TYPE(R->type) != CV_32FC1 && CV_MAT_TYPE(R->type) != CV_64FC1) )
CV_ERROR( CV_StsBadArg, "Rotaion/homography matrix must be a valid 3x3 floating-point matrix" );
if( distCoeffs )
{
CV_ASSERT( CV_IS_MAT(distCoeffs) &&
(distCoeffs->rows == 1 || distCoeffs->cols == 1) &&
(distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) == 4 ||
distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) == 5) &&
(CV_MAT_DEPTH(distCoeffs->type) == CV_64F ||
CV_MAT_DEPTH(distCoeffs->type) == CV_32F) );
_k = cvMat( distCoeffs->rows, distCoeffs->cols,
CV_MAKETYPE(CV_64F, CV_MAT_CN(distCoeffs->type)), k );
cvConvert( distCoeffs, &_k );
}
else
cvZero( &_k );
cvConvert( R, &_r ); // rectification matrix
cvMatMul( &_ar, &_r, &_r ); // Ar*R
cvInvert( &_r, &_ir ); // inverse: R^-1*Ar^-1
u0 = a[2]; v0 = a[5];
fx = a[0]; fy = a[4];
k1 = k[0]; k2 = k[1]; k3 = k[4];
p1 = k[2]; p2 = k[3];
size = cvGetMatSize(_mapx);
for( i = 0; i < size.height; i++ )
{
float* mapx = (float*)(_mapx->data.ptr + _mapx->step*i);
float* mapy = (float*)(_mapy->data.ptr + _mapy->step*i);
double _x = i*ir[1] + ir[2], _y = i*ir[4] + ir[5], _w = i*ir[7] + ir[8];
for( j = 0; j < size.width; j++, _x += ir[0], _y += ir[3], _w += ir[6] )
{
double w = 1./_w, x = _x*w, y = _y*w;
double x2 = x*x, y2 = y*y;
double r2 = x2 + y2, _2xy = 2*x*y;
double kr = 1 + ((k3*r2 + k2)*r2 + k1)*r2;
//.........这里部分代码省略.........
开发者ID:273k，项目名称:OpenCV-Android，代码行数:101，代码来源:cvundistort.cpp
示例18: cvUndistortPoints
void
cvUndistortPoints( const CvMat* _src, CvMat* _dst, const CvMat* _cameraMatrix,
const CvMat* _distCoeffs,
const CvMat* _R, const CvMat* _P )
{
CV_FUNCNAME( "cvUndistortPoints" );
__BEGIN__;
double A[3][3], RR[3][3], k[5]={0,0,0,0,0}, fx, fy, ifx, ify, cx, cy;
CvMat _A=cvMat(3, 3, CV_64F, A), _Dk;
CvMat _RR=cvMat(3, 3, CV_64F, RR);
const CvPoint2D32f* srcf;
const CvPoint2D64f* srcd;
CvPoint2D32f* dstf;
CvPoint2D64f* dstd;
int stype, dtype;
int sstep, dstep;
int i, j, n;
CV_ASSERT( CV_IS_MAT(_src) && CV_IS_MAT(_dst) &&
(_src->rows == 1 || _src->cols == 1) &&
(_dst->rows == 1 || _dst->cols == 1) &&
CV_ARE_SIZES_EQ(_src, _dst) &&
(CV_MAT_TYPE(_src->type) == CV_32FC2 || CV_MAT_TYPE(_src->type) == CV_64FC2) &&
(CV_MAT_TYPE(_dst->type) == CV_32FC2 || CV_MAT_TYPE(_dst->type) == CV_64FC2));
CV_ASSERT( CV_IS_MAT(_cameraMatrix) && CV_IS_MAT(_distCoeffs) &&
_cameraMatrix->rows == 3 && _cameraMatrix->cols == 3 &&
(_distCoeffs->rows == 1 || _distCoeffs->cols == 1) &&
(_distCoeffs->rows*_distCoeffs->cols == 4 ||
_distCoeffs->rows*_distCoeffs->cols == 5) );
_Dk = cvMat( _distCoeffs->rows, _distCoeffs->cols,
CV_MAKETYPE(CV_64F,CV_MAT_CN(_distCoeffs->type)), k);
cvConvert( _cameraMatrix, &_A );
cvConvert( _distCoeffs, &_Dk );
if( _R )
{
CV_ASSERT( CV_IS_MAT(_R) && _R->rows == 3 && _R->cols == 3 );
cvConvert( _R, &_RR );
}
else
cvSetIdentity(&_RR);
if( _P )
{
double PP[3][3];
CvMat _P3x3, _PP=cvMat(3, 3, CV_64F, PP);
CV_ASSERT( CV_IS_MAT(_P) && _P->rows == 3 && (_P->cols == 3 || _P->cols == 4));
cvConvert( cvGetCols(_P, &_P3x3, 0, 3), &_PP );
cvMatMul( &_PP, &_RR, &_RR );
}
srcf = (const CvPoint2D32f*)_src->data.ptr;
srcd = (const CvPoint2D64f*)_src->data.ptr;
dstf = (CvPoint2D32f*)_dst->data.ptr;
dstd = (CvPoint2D64f*)_dst->data.ptr;
stype = CV_MAT_TYPE(_src->type);
dtype = CV_MAT_TYPE(_dst->type);
sstep = _src->rows == 1 ? 1 : _src->step/CV_ELEM_SIZE(stype);
dstep = _dst->rows == 1 ? 1 : _dst->step/CV_ELEM_SIZE(dtype);
n = _src->rows + _src->cols - 1;
fx = A[0][0];
fy = A[1][1];
ifx = 1./fx;
ify = 1./fy;
cx = A[0][2];
cy = A[1][2];
for( i = 0; i < n; i++ )
{
double x, y, x0, y0;
if( stype == CV_32FC2 )
{
x = srcf[i*sstep].x;
y = srcf[i*sstep].y;
}
else
{
x = srcd[i*sstep].x;
y = srcd[i*sstep].y;
}
x0 = x = (x - cx)*ifx;
y0 = y = (y - cy)*ify;
// compensate distortion iteratively
for( j = 0; j < 5; j++ )
{
double r2 = x*x + y*y;
double icdist = 1./(1 + ((k[4]*r2 + k[1])*r2 + k[0])*r2);
double deltaX = 2*k[2]*x*y + k[3]*(r2 + 2*x*x);
double deltaY = k[2]*(r2 + 2*y*y) + 2*k[3]*x*y;
x = (x0 - deltaX)*icdist;
y = (y0 - deltaY)*icdist;
}
//.........这里部分代码省略.........
开发者ID:273k，项目名称:OpenCV-Android，代码行数:101，代码来源:cvundistort.cpp
示例19: CV_FUNCNAME
void CvEM::init_em( const CvVectors& train_data )
{
CvMat *w = 0, *u = 0, *tcov = 0;
CV_FUNCNAME( "CvEM::init_em" );
__BEGIN__;
double maxval = 0;
int i, force_symm_plus = 0;
int nclusters = params.nclusters, nsamples = train_data.count, dims = train_data.dims;
if( params.start_step == START_AUTO_STEP || nclusters == 1 || nclusters == nsamples )
init_auto( train_data );
else if( params.start_step == START_M_STEP )
{
for( i = 0; i < nsamples; i++ )
{
CvMat prob;
cvGetRow( params.probs, &prob, i );
cvMaxS( &prob, 0., &prob );
cvMinMaxLoc( &prob, 0, &maxval );
if( maxval < FLT_EPSILON )
cvSet( &prob, cvScalar(1./nclusters) );
else
cvNormalize( &prob, &prob, 1., 0, CV_L1 );
}
EXIT; // do not preprocess covariation matrices,
// as in this case they are initialized at the first iteration of EM
}
else
{
CV_ASSERT( params.start_step == START_E_STEP && params.means );
if( params.weights && params.covs )
{
cvConvert( params.means, means );
cvReshape( weights, weights, 1, params.weights->rows );
cvConvert( params.weights, weights );
cvReshape( weights, weights, 1, 1 );
cvMaxS( weights, 0., weights );
cvMinMaxLoc( weights, 0, &maxval );
if( maxval < FLT_EPSILON )
cvSet( weights, cvScalar(1./nclusters) );
cvNormalize( weights, weights, 1., 0, CV_L1 );
for( i = 0; i < nclusters; i++ )
CV_CALL( cvConvert( params.covs[i], covs[i] ));
force_symm_plus = 1;
}
else
init_auto( train_data );
}
CV_CALL( tcov = cvCreateMat( dims, dims, CV_64FC1 ));
CV_CALL( w = cvCreateMat( dims, dims, CV_64FC1 ));
if( params.cov_mat_type == COV_MAT_GENERIC )
CV_CALL( u = cvCreateMat( dims, dims, CV_64FC1 ));
for( i = 0; i < nclusters; i++ )
{
if( force_symm_plus )
{
cvTranspose( covs[i], tcov );
cvAddWeighted( covs[i], 0.5, tcov, 0.5, 0, tcov );
}
else
cvCopy( covs[i], tcov );
cvSVD( tcov, w, u, 0, CV_SVD_MODIFY_A + CV_SVD_U_T + CV_SVD_V_T );
if( params.cov_mat_type == COV_MAT_SPHERICAL )
cvSetIdentity( covs[i], cvScalar(cvTrace(w).val[0]/dims) );
else if( params.cov_mat_type == COV_MAT_DIAGONAL )
cvCopy( w, covs[i] );
else
{
// generic case: covs[i] = (u')'*max(w,0)*u'
cvGEMM( u, w, 1, 0, 0, tcov, CV_GEMM_A_T );
cvGEMM( tcov, u, 1, 0, 0, covs[i], 0 );
}
}
__END__;
cvReleaseMat( &w );
cvReleaseMat( &u );
cvReleaseMat( &tcov );
}
开发者ID:glo，项目名称:ee384b，代码行数:85，代码来源:mlem.cpp
示例20: cvRenderBlob
void cvRenderBlob(const IplImage *imgLabel, CvBlob *blob, IplImage *imgSource, IplImage *imgDest, unsigned short mode, CvScalar const &color, double alpha)
{
CV_FUNCNAME("cvRenderBlob");
__CV_BEGIN__;
CV_ASSERT(imgLabel&&(imgLabel->depth==IPL_DEPTH_LABEL)&&(imgLabel->nChannels==1));
CV_ASSERT(imgDest&&(imgDest->depth==IPL_DEPTH_8U)&&(imgDest->nChannels==3));
if (mode&CV_BLOB_RENDER_COLOR)
{
int stepLbl = imgLabel->widthStep/(imgLabel->depth/8);
int stepSrc = imgSource->widthStep/(imgSource->depth/8);
int stepDst = imgDest->widthStep/(imgDest->depth/8);
int imgLabel_width = imgLabel->width;
int imgLabel_height = imgLabel->height;
int imgLabel_offset = 0;
int imgSource_width = imgSource->width;
int imgSource_height = imgSource->height;
int imgSource_offset = 0;
int imgDest_width = imgDest->width;
int imgDest_height = imgDest->height;
int imgDest_offset = 0;
if(imgLabel->roi)
{
imgLabel_width = imgLabel->roi->width;
imgLabel_height = imgLabel->roi->height;
imgLabel_offset = (imgLabel->nChannels * imgLabel->roi->xOffset) + (imgLabel->roi->yOffset * stepLbl);
}
if(imgSource->roi)
{
imgSource_width = imgSource->roi->width;
imgSource_height = imgSource->roi->height;
imgSource_offset = (imgSource->nChannels * imgSource->roi->xOffset) + (imgSource->roi->yOffset * stepSrc);
}
if(imgDest->roi)
{
imgDest_width = imgDest->roi->width;
imgDest_height = imgDest->roi->height;
imgDest_offset = (imgDest->nChannels * imgDest->roi->xOffset) + (imgDest->roi->yOffset * stepDst);
}
CvLabel *labels = (CvLabel *)imgLabel->imageData + imgLabel_offset + (blob->miny * stepLbl);
unsigned char *source = (unsigned char *)imgSource->imageData + imgSource_offset + (blob->miny * stepSrc);
unsigned char *imgData = (unsigned char *)imgDest->imageData + imgDest_offset + (blob->miny * stepDst);
for (unsigned int r=blob->miny; r<blob->maxy; r++, labels+=stepLbl, source+=stepSrc, imgData+=stepDst)
for (unsigned int c=blob->minx; c<blob->maxx; c++)
{
if (labels[c]==blob->label)
{
imgData[imgDest->nChannels*c+0] = (unsigned char)((1.-alpha)*source[imgSource->nChannels*c+0]+alpha*color.val[0]);
imgData[imgDest->nChannels*c+1] = (unsigned char)((1.-alpha)*source[imgSource->nChannels*c+1]+alpha*color.val[1]);
imgData[imgDest->nChannels*c+2] = (unsigned char)((1.-alpha)*source[imgSource->nChannels*c+2]+alpha*color.val[2]);
}
}
}
if (mode)
{
if (mode&CV_BLOB_RENDER_TO_LOG)
{
std::clog << "Blob " << blob->label << std::endl;
std::clog << " - Bounding box: (" << blob->minx << ", " << blob->miny << ") - (" << blob->maxx << ", " << blob->maxy << ")" << std::endl;
std::clog << " - Bounding box area: " << (1 + blob->maxx - blob->minx) * (1 + blob->maxy - blob->miny) << std::endl;
std::clog << " - Area: " << blob->area << std::endl;
std::clog << " - Centroid: (" << blob->centroid.x << ", " << blob->centroid.y << ")" << std::endl;
std::clog << std::endl;
}
if (mode&CV_BLOB_RENDER_TO_STD)
{
std::cout << "Blob " << blob->label << std::endl;
std::cout << " - Bounding box: (" << blob->minx << ", " << blob->miny << ") - (" << blob->maxx << ", " << blob->maxy << ")" << std::endl;
std::cout << " - Bounding box area: " << (1 + blob->maxx - blob->minx) * (1 + blob->maxy - blob->miny) << std::endl;
std::cout << " - Area: " << blob->area << std::endl;
std::cout << " - Centroid: (" << blob->centroid.x << ", " << blob->centroid.y << ")" << std::endl;
std::cout << std::endl;
}
if (mode&CV_BLOB_RENDER_BOUNDING_BOX)
cvRectangle(imgDest, cvPoint(blob->minx, blob->miny), cvPoint(blob->maxx-1, blob->maxy-1), CV_RGB(255., 0., 0.));
if (mode&CV_BLOB_RENDER_ANGLE)
{
double angle = cvAngle(blob);
double x1,y1,x2,y2;
double lengthLine = MAX(blob->maxx-blob->minx, blob->maxy-blob->miny)/2.;
x1=blob->centroid.x-lengthLine*cos(angle);
y1=blob->centroid.y-lengthLine*sin(angle);
x2=blob->centroid.x+lengthLine*cos(angle);
y2=blob->centroid.y+lengthLine*sin(angle);
cvLine(imgDest,cvPoint(int(x1),int(y1)),cvPoint(int(x2),int(y2)),CV_RGB(0.,255.,0.));
}
if (mode&CV_BLOB_RENDER_CENTROID)
{
cvLine(imgDest,cvPoint(int(blob->centroid.x)-3,int(blob->centroid.y)),cvPoint(int(blob->centroid.x)+3,int(blob->centroid.y)),CV_RGB(0.,0.,255.));
cvLine(imgDest,cvPoint(int(blob->centroid.x),int(blob->centroid.y)-3),cvPoint(int(blob->centroid.x),int(blob->centroid.y)+3),CV_RGB(0.,0.,255.));
//.........这里部分代码省略.........
开发者ID:panpeter90，项目名称:GUI，代码行数:101，代码来源:cvblob.cpp
注：本文中的CV_ASSERT函数示例整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。 |
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