1
0
mirror of https://github.com/opencv/opencv.git synced 2026-07-29 23:33:05 +04:00

added cv::calcHist to T-API (only for CV_8UC1 with 256 bins)

This commit is contained in:
Ilya Lavrenov
2014-01-29 20:19:15 +04:00
parent fff5a6c058
commit 384a28622d
3 changed files with 146 additions and 41 deletions
+58 -35
View File
@@ -1399,6 +1399,57 @@ static void calcHist( const Mat* images, int nimages, const int* channels,
}
}
enum
{
BINS = 256
};
static bool ocl_calcHist1(InputArrayOfArrays _src, OutputArray _hist, int ddepth = CV_32S)
{
int compunits = ocl::Device::getDefault().maxComputeUnits();
size_t wgs = ocl::Device::getDefault().maxWorkGroupSize();
ocl::Kernel k1("calculate_histogram", ocl::imgproc::histogram_oclsrc,
format("-D BINS=%d -D HISTS_COUNT=%d -D WGS=%d", BINS, compunits, wgs));
if (k1.empty())
return false;
_hist.create(1, BINS, ddepth);
UMat src = _src.getUMat(), ghist(1, BINS * compunits, CV_32SC1),
hist = ddepth == CV_32S ? _hist.getUMat() : UMat(BINS, 1, CV_32SC1);
k1.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::PtrWriteOnly(ghist),
(int)src.total());
size_t globalsize = compunits * wgs;
if (!k1.run(1, &globalsize, &wgs, false))
return false;
ocl::Kernel k2("merge_histogram", ocl::imgproc::histogram_oclsrc,
format("-D BINS=%d -D HISTS_COUNT=%d -D WGS=%d", BINS, compunits, (int)wgs));
if (k2.empty())
return false;
k2.args(ocl::KernelArg::PtrReadOnly(ghist), ocl::KernelArg::PtrWriteOnly(hist));
if (!k2.run(1, &wgs, &wgs, false))
return false;
if (hist.depth() != ddepth)
hist.convertTo(_hist, ddepth);
else
_hist.getUMatRef() = hist;
return true;
}
static bool ocl_calcHist(InputArrayOfArrays images, OutputArray hist)
{
std::vector<UMat> v;
images.getUMatVector(v);
return ocl_calcHist1(v[0], hist, CV_32F);
}
}
void cv::calcHist( const Mat* images, int nimages, const int* channels,
@@ -1417,6 +1468,12 @@ void cv::calcHist( InputArrayOfArrays images, const std::vector<int>& channels,
const std::vector<float>& ranges,
bool accumulate )
{
CV_OCL_RUN(images.total() == 1 && channels.size() == 1 && images.channels(0) == 1 &&
channels[0] == 0 && images.isUMatVector() && mask.empty() && !accumulate &&
histSize.size() == 1 && histSize[0] == BINS && ranges.size() == 2 &&
ranges[0] == 0 && ranges[1] == 256,
ocl_calcHist(images, hist))
int i, dims = (int)histSize.size(), rsz = (int)ranges.size(), csz = (int)channels.size();
int nimages = (int)images.total();
@@ -3290,47 +3347,13 @@ CV_IMPL void cvEqualizeHist( const CvArr* srcarr, CvArr* dstarr )
namespace cv {
enum
{
BINS = 256
};
static bool ocl_calcHist(InputArray _src, OutputArray _hist)
{
int compunits = ocl::Device::getDefault().maxComputeUnits();
size_t wgs = ocl::Device::getDefault().maxWorkGroupSize();
ocl::Kernel k1("calculate_histogram", ocl::imgproc::histogram_oclsrc,
format("-D BINS=%d -D HISTS_COUNT=%d -D WGS=%d", BINS, compunits, wgs));
if (k1.empty())
return false;
_hist.create(1, BINS, CV_32SC1);
UMat src = _src.getUMat(), hist = _hist.getUMat(), ghist(1, BINS * compunits, CV_32SC1);
k1.args(ocl::KernelArg::ReadOnly(src), ocl::KernelArg::PtrWriteOnly(ghist),
(int)src.total());
size_t globalsize = compunits * wgs;
if (!k1.run(1, &globalsize, &wgs, false))
return false;
ocl::Kernel k2("merge_histogram", ocl::imgproc::histogram_oclsrc,
format("-D BINS=%d -D HISTS_COUNT=%d -D WGS=%d", BINS, compunits, (int)wgs));
if (k2.empty())
return false;
k2.args(ocl::KernelArg::PtrReadOnly(ghist), ocl::KernelArg::PtrWriteOnly(hist));
return k2.run(1, &wgs, &wgs, false);
}
static bool ocl_equalizeHist(InputArray _src, OutputArray _dst)
{
size_t wgs = std::min<size_t>(ocl::Device::getDefault().maxWorkGroupSize(), BINS);
// calculation of histogram
UMat hist;
if (!ocl_calcHist(_src, hist))
if (!ocl_calcHist1(_src, hist))
return false;
UMat lut(1, 256, CV_8UC1);