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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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modules/objdetect/src/cascadedetect.cpp
+1 -1
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@@ -1346,7 +1346,7 @@ void CascadeClassifierImpl::detectMultiScaleNoGrouping( InputArray _image, std::
size_t i, nscales = scales.size();
cv::AutoBuffer<int> stripeSizeBuf(nscales);
int* stripeSizes = stripeSizeBuf;
int* stripeSizes = stripeSizeBuf.data();
const FeatureEvaluator::ScaleData* s = &featureEvaluator->getScaleData(0);
Size szw = s->getWorkingSize(data.origWinSize);
int nstripes = cvCeil(szw.width/32.);
modules/objdetect/src/hog.cpp
+3 -3
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@@ -297,7 +297,7 @@ void HOGDescriptor::computeGradient(const Mat& img, Mat& grad, Mat& qangle,
#endif
AutoBuffer<int> mapbuf(gradsize.width + gradsize.height + 4);
int* xmap = (int*)mapbuf + 1;
int* xmap = mapbuf.data() + 1;
int* ymap = xmap + gradsize.width + 2;
const int borderType = (int)BORDER_REFLECT_101;
@@ -312,7 +312,7 @@ void HOGDescriptor::computeGradient(const Mat& img, Mat& grad, Mat& qangle,
// x- & y- derivatives for the whole row
int width = gradsize.width;
AutoBuffer<float> _dbuf(width*4);
float* const dbuf = _dbuf;
float* const dbuf = _dbuf.data();
Mat Dx(1, width, CV_32F, dbuf);
Mat Dy(1, width, CV_32F, dbuf + width);
Mat Mag(1, width, CV_32F, dbuf + width*2);
@@ -656,7 +656,7 @@ void HOGCache::init(const HOGDescriptor* _descriptor,
{
AutoBuffer<float> di(blockSize.height), dj(blockSize.width);
float* _di = (float*)di, *_dj = (float*)dj;
float* _di = di.data(), *_dj = dj.data();
float bh = blockSize.height * 0.5f, bw = blockSize.width * 0.5f;
i = 0;