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opencv: Use cv::AutoBuffer<>::data()

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This commit is contained in:
Alexander Alekhin
2018-06-10 22:42:00 +00:00
committed by Alexander Alekhin
parent 135ea264ef
commit b09a4a98d4
90 changed files with 333 additions and 339 deletions
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apps/traincascade/boost.cpp
+6 -6
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@@ -383,7 +383,7 @@ CvDTreeNode* CvCascadeBoostTrainData::subsample_data( const CvMat* _subsample_id
int ci = get_var_type(vi);
CV_Assert( ci < 0 );
int *src_idx_buf = (int*)(uchar*)inn_buf;
int *src_idx_buf = (int*)inn_buf.data();
float *src_val_buf = (float*)(src_idx_buf + sample_count);
int* sample_indices_buf = (int*)(src_val_buf + sample_count);
const int* src_idx = 0;
@@ -423,7 +423,7 @@ CvDTreeNode* CvCascadeBoostTrainData::subsample_data( const CvMat* _subsample_id
}
// subsample cv_lables
const int* src_lbls = get_cv_labels(data_root, (int*)(uchar*)inn_buf);
const int* src_lbls = get_cv_labels(data_root, (int*)inn_buf.data());
if (is_buf_16u)
{
unsigned short* udst = (unsigned short*)(buf->data.s + root->buf_idx*get_length_subbuf() +
@@ -440,7 +440,7 @@ CvDTreeNode* CvCascadeBoostTrainData::subsample_data( const CvMat* _subsample_id
}
// subsample sample_indices
const int* sample_idx_src = get_sample_indices(data_root, (int*)(uchar*)inn_buf);
const int* sample_idx_src = get_sample_indices(data_root, (int*)inn_buf.data());
if (is_buf_16u)
{
unsigned short* sample_idx_dst = (unsigned short*)(buf->data.s + root->buf_idx*get_length_subbuf() +
@@ -815,7 +815,7 @@ struct FeatureIdxOnlyPrecalc : ParallelLoopBody
void operator()( const Range& range ) const
{
cv::AutoBuffer<float> valCache(sample_count);
float* valCachePtr = (float*)valCache;
float* valCachePtr = valCache.data();
for ( int fi = range.start; fi < range.end; fi++)
{
for( int si = 0; si < sample_count; si++ )
@@ -1084,7 +1084,7 @@ void CvCascadeBoostTree::split_node_data( CvDTreeNode* node )
CvMat* buf = data->buf;
size_t length_buf_row = data->get_length_subbuf();
cv::AutoBuffer<uchar> inn_buf(n*(3*sizeof(int)+sizeof(float)));
int* tempBuf = (int*)(uchar*)inn_buf;
int* tempBuf = (int*)inn_buf.data();
bool splitInputData;
complete_node_dir(node);
@@ -1398,7 +1398,7 @@ void CvCascadeBoost::update_weights( CvBoostTree* tree )
int inn_buf_size = ((params.boost_type == LOGIT) || (params.boost_type == GENTLE) ? n*sizeof(int) : 0) +
( !tree ? n*sizeof(int) : 0 );
cv::AutoBuffer<uchar> inn_buf(inn_buf_size);
uchar* cur_inn_buf_pos = (uchar*)inn_buf;
uchar* cur_inn_buf_pos = inn_buf.data();
if ( (params.boost_type == LOGIT) || (params.boost_type == GENTLE) )
{
step = CV_IS_MAT_CONT(data->responses_copy->type) ?