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Fix building for MS VS C++: remove allocation of arrays of dynamic size in stack

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This commit is contained in:
Victor Passichenko 2012-08-21 15:41:51 +04:00
parent 017ab51bf4
commit 92edd4fc6e
3 changed files with 17 additions and 18 deletions
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4
modules/photo/src/denoising.cpp
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@ -103,7 +103,7 @@ static void fastNlMeansDenoisingMultiCheckPreconditions(
int imgToDenoiseIndex, int temporalWindowSize,
int templateWindowSize, int searchWindowSize)
{
int src_imgs_size = srcImgs.size();
int src_imgs_size = (int)srcImgs.size();
if (src_imgs_size == 0) {
CV_Error(CV_StsBadArg, "Input images vector should not be empty!");
}
@ -176,7 +176,7 @@ void cv::fastNlMeansDenoisingColoredMulti( const std::vector<Mat>& srcImgs,
temporalWindowSize, templateWindowSize, searchWindowSize
);
int src_imgs_size = srcImgs.size();
int src_imgs_size = (int)srcImgs.size();
if (srcImgs[0].type() != CV_8UC3) {
CV_Error(CV_StsBadArg, "Type of input images should be CV_8UC3!");

14
modules/photo/src/fast_nlmeans_denoising_invoker.hpp
View File

@ -62,6 +62,10 @@ struct FastNlMeansDenoisingInvoker {
void operator() (const BlockedRange& range) const;
void operator= (const FastNlMeansDenoisingInvoker& invoker) {
CV_Error(CV_StsNotImplemented, "Assigment operator is not implemented");
}
private:
const Mat& src_;
Mat& dst_;
@ -153,16 +157,12 @@ void FastNlMeansDenoisingInvoker<T>::operator() (const BlockedRange& range) cons
int row_from = range.begin();
int row_to = range.end() - 1;
int dist_sums_array[search_window_size_ * search_window_size_];
Array2d<int> dist_sums(dist_sums_array, search_window_size_, search_window_size_);
Array2d<int> dist_sums(search_window_size_, search_window_size_);
// for lazy calc optimization
int col_dist_sums_array[template_window_size_ * search_window_size_ * search_window_size_];
Array3d<int> col_dist_sums(&col_dist_sums_array[0],
template_window_size_, search_window_size_, search_window_size_);
Array3d<int> col_dist_sums(template_window_size_, search_window_size_, search_window_size_);
int first_col_num = -1;
Array3d<int> up_col_dist_sums(src_.cols, search_window_size_, search_window_size_);
for (int i = row_from; i <= row_to; i++) {
@ -233,7 +233,7 @@ void FastNlMeansDenoisingInvoker<T>::operator() (const BlockedRange& range) cons
// calc weights
int weights_sum = 0;
int estimation[src_.channels()];
int estimation[3];
for (int channel_num = 0; channel_num < src_.channels(); channel_num++) {
estimation[channel_num] = 0;
}

17
modules/photo/src/fast_nlmeans_multi_denoising_invoker.hpp
View File

@ -63,6 +63,10 @@ struct FastNlMeansMultiDenoisingInvoker {
void operator() (const BlockedRange& range) const;
void operator= (const FastNlMeansMultiDenoisingInvoker& invoker) {
CV_Error(CV_StsNotImplemented, "Assigment operator is not implemented");
}
private:
int rows_;
int cols_;
@ -175,16 +179,11 @@ void FastNlMeansMultiDenoisingInvoker<T>::operator() (const BlockedRange& range)
int row_from = range.begin();
int row_to = range.end() - 1;
int dist_sums_array[temporal_window_size_ * search_window_size_ * search_window_size_];
Array3d<int> dist_sums(dist_sums_array,
temporal_window_size_, search_window_size_, search_window_size_);
Array3d<int> dist_sums(temporal_window_size_, search_window_size_, search_window_size_);
// for lazy calc optimization
int col_dist_sums_array[
template_window_size_ * temporal_window_size_ * search_window_size_ * search_window_size_];
Array4d<int> col_dist_sums(col_dist_sums_array,
template_window_size_, temporal_window_size_, search_window_size_, search_window_size_);
Array4d<int> col_dist_sums(
template_window_size_, temporal_window_size_, search_window_size_, search_window_size_);
int first_col_num = -1;
@ -263,7 +262,7 @@ void FastNlMeansMultiDenoisingInvoker<T>::operator() (const BlockedRange& range)
// calc weights
int weights_sum = 0;
int estimation[channels_count_];
int estimation[3];
for (int channel_num = 0; channel_num < channels_count_; channel_num++) {
estimation[channel_num] = 0;
}