opencv/modules/superres/perf/perf_superres_ocl.cpp
Roman Donchenko feaa12a274 Merge remote-tracking branch 'origin/2.4' into merge-2.4
Conflicts:
	modules/core/include/opencv2/core/version.hpp
	modules/ocl/include/opencv2/ocl/ocl.hpp
	modules/ocl/src/initialization.cpp
	modules/ocl/test/main.cpp
	modules/superres/CMakeLists.txt
	modules/superres/src/input_array_utility.cpp
	modules/superres/src/input_array_utility.hpp
	modules/superres/src/optical_flow.cpp
2013-07-16 11:52:41 +04:00

148 lines
4.6 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
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#include "perf_precomp.hpp"
#ifdef HAVE_OPENCL
#include "opencv2/ocl.hpp"
using namespace std;
using namespace std::tr1;
using namespace testing;
using namespace perf;
using namespace cv;
using namespace cv::superres;
namespace
{
class OneFrameSource_OCL : public FrameSource
{
public:
explicit OneFrameSource_OCL(const ocl::oclMat& frame) : frame_(frame) {}
void nextFrame(OutputArray frame)
{
ocl::getOclMatRef(frame) = frame_;
}
void reset()
{
}
private:
ocl::oclMat frame_;
};
class ZeroOpticalFlowOCL : public DenseOpticalFlowExt
{
public:
void calc(InputArray frame0, InputArray, OutputArray flow1, OutputArray flow2)
{
ocl::oclMat& frame0_ = ocl::getOclMatRef(frame0);
ocl::oclMat& flow1_ = ocl::getOclMatRef(flow1);
ocl::oclMat& flow2_ = ocl::getOclMatRef(flow2);
cv::Size size = frame0_.size();
if(!flow2.needed())
{
flow1_.create(size, CV_32FC2);
flow1_.setTo(Scalar::all(0));
}
else
{
flow1_.create(size, CV_32FC1);
flow2_.create(size, CV_32FC1);
flow1_.setTo(Scalar::all(0));
flow2_.setTo(Scalar::all(0));
}
}
void collectGarbage()
{
}
};
}
PERF_TEST_P(Size_MatType, SuperResolution_BTVL1_OCL,
Combine(Values(szSmall64, szSmall128),
Values(MatType(CV_8UC1), MatType(CV_8UC3))))
{
std::vector<cv::ocl::Info>info;
cv::ocl::getDevice(info);
declare.time(5 * 60);
const Size size = get<0>(GetParam());
const int type = get<1>(GetParam());
Mat frame(size, type);
declare.in(frame, WARMUP_RNG);
ocl::oclMat frame_ocl;
frame_ocl.upload(frame);
const int scale = 2;
const int iterations = 50;
const int temporalAreaRadius = 1;
Ptr<DenseOpticalFlowExt> opticalFlowOcl(new ZeroOpticalFlowOCL);
Ptr<SuperResolution> superRes_ocl = createSuperResolution_BTVL1_OCL();
superRes_ocl->set("scale", scale);
superRes_ocl->set("iterations", iterations);
superRes_ocl->set("temporalAreaRadius", temporalAreaRadius);
superRes_ocl->set("opticalFlow", opticalFlowOcl);
superRes_ocl->setInput(new OneFrameSource_OCL(frame_ocl));
ocl::oclMat dst_ocl;
superRes_ocl->nextFrame(dst_ocl);
TEST_CYCLE_N(10) superRes_ocl->nextFrame(dst_ocl);
frame_ocl.release();
CPU_SANITY_CHECK(dst_ocl);
}
#endif