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replaced alloca() (a.k.a. cvStackAlloc) with AutoBuffer or vector() everywhere. cvStackAlloc() is still defined, but we do not need alloca() anymore to compile and run OpenCV (fixes #889 and may be some others)

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This commit is contained in:
Vadim Pisarevsky 2011-02-18 10:36:18 +00:00
parent 0e81d9a11c
commit c5e3869c32
3 changed files with 7 additions and 6 deletions
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4
modules/calib3d/src/stereogc.cpp
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@ -483,7 +483,7 @@ icvComputeK( CvStereoGCState* state )
int x, y, x1, d, i, j, rows = state->left->rows, cols = state->left->cols, n = 0;
int mind = state->minDisparity, nd = state->numberOfDisparities, maxd = mind + nd;
int k = MIN(MAX((nd + 2)/4, 3), nd), delta, t, sum = 0;
vector<int> _arr(k);
std::vector<int> _arr(k+1);
int *arr = &_arr[0];
for( y = 0; y < rows; y++ )
@ -902,7 +902,7 @@ CV_IMPL void cvFindStereoCorrespondenceGC( const CvArr* _left, const CvArr* _rig
icvInitStereoConstTabs();
icvInitGraySubpix( left, right, state->left, state->right );
vector<int> disp(state->numberOfDisparities);
std::vector<int> disp(state->numberOfDisparities);
CvMat _disp = cvMat( 1, (int)disp.size(), CV_32S, &disp[0] );
cvRange( &_disp, state->minDisparity, state->minDisparity + state->numberOfDisparities );
cvRandShuffle( &_disp, &rng );

3
modules/core/src/persistence.cpp
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@ -3619,7 +3619,6 @@ icvReadSparseMat( CvFileStorage* fs, CvFileNode* node )
CvFileNode* sizes_node;
CvSeqReader reader;
CvSeq* elements;
int* idx;
int sizes[CV_MAX_DIM_HEAP], dims, elem_type, cn;
int i;
@ -3645,7 +3644,7 @@ icvReadSparseMat( CvFileStorage* fs, CvFileNode* node )
mat = cvCreateSparseMat( dims, sizes, elem_type );
cn = CV_MAT_CN(elem_type);
idx = (int*)alloca( dims*sizeof(idx[0]) );
int idx[CV_MAX_DIM_HEAP];
elements = data->data.seq;
cvStartReadRawData( fs, data, &reader );

6
modules/ml/src/rtrees.cpp
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@ -646,7 +646,8 @@ float CvRTrees::predict( const CvMat* sample, const CvMat* missing ) const
if( nclasses > 0 ) //classification
{
int max_nvotes = 0;
int* votes = (int*)alloca( sizeof(int)*nclasses );
cv::AutoBuffer<int> _votes(nclasses);
int* votes = _votes;
memset( votes, 0, sizeof(*votes)*nclasses );
for( k = 0; k < ntrees; k++ )
{
@ -682,7 +683,8 @@ float CvRTrees::predict_prob( const CvMat* sample, const CvMat* missing) const
if( nclasses == 2 ) //classification
{
int max_nvotes = 0;
int* votes = (int*)alloca( sizeof(int)*nclasses );
cv::AutoBuffer<int> _votes(nclasses);
int* votes = _votes;
memset( votes, 0, sizeof(*votes)*nclasses );
for( k = 0; k < ntrees; k++ )
{