/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "perf_precomp.hpp"
#include "opencv2/ts/ocl_perf.hpp"
using namespace std;
using namespace std::tr1;
using namespace testing;
using namespace perf;
using namespace cv;
using namespace cv::superres;
using namespace cv::cuda;
namespace
{
class OneFrameSource_CPU : public FrameSource
{
public:
explicit OneFrameSource_CPU(const Mat& frame) : frame_(frame) {}
void nextFrame(OutputArray frame)
{
frame.getMatRef() = frame_;
}
void reset()
{
}
private:
Mat frame_;
};
class OneFrameSource_CUDA : public FrameSource
{
public:
explicit OneFrameSource_CUDA(const GpuMat& frame) : frame_(frame) {}
void nextFrame(OutputArray frame)
{
frame.getGpuMatRef() = frame_;
}
void reset()
{
}
private:
GpuMat frame_;
};
class ZeroOpticalFlow : public DenseOpticalFlowExt
{
public:
virtual void calc(InputArray frame0, InputArray, OutputArray flow1, OutputArray flow2)
{
cv::Size size = frame0.size();
if (!flow2.needed())
{
flow1.create(size, CV_32FC2);
flow1.setTo(cv::Scalar::all(0));
}
else
{
flow1.create(size, CV_32FC1);
flow2.create(size, CV_32FC1);
flow1.setTo(cv::Scalar::all(0));
flow2.setTo(cv::Scalar::all(0));
}
}
virtual void collectGarbage()
{
}
};
}
PERF_TEST_P(Size_MatType, SuperResolution_BTVL1,
Combine(Values(szSmall64, szSmall128),
Values(MatType(CV_8UC1), MatType(CV_8UC3))))
{
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);
const int scale = 2;
const int iterations = 50;
const int temporalAreaRadius = 1;
Ptr<DenseOpticalFlowExt> opticalFlow(new ZeroOpticalFlow);
if (PERF_RUN_CUDA())
{
Ptr<SuperResolution> superRes = createSuperResolution_BTVL1_CUDA();
superRes->setScale(scale);
superRes->setIterations(iterations);
superRes->setTemporalAreaRadius(temporalAreaRadius);
superRes->setOpticalFlow(opticalFlow);
superRes->setInput(makePtr<OneFrameSource_CUDA>(GpuMat(frame)));
GpuMat dst;
superRes->nextFrame(dst);
TEST_CYCLE_N(10) superRes->nextFrame(dst);
CUDA_SANITY_CHECK(dst, 2);
}
else
{
Ptr<SuperResolution> superRes = createSuperResolution_BTVL1();
superRes->setScale(scale);
superRes->setIterations(iterations);
superRes->setTemporalAreaRadius(temporalAreaRadius);
superRes->setOpticalFlow(opticalFlow);
superRes->setInput(makePtr<OneFrameSource_CPU>(frame));
Mat dst;
superRes->nextFrame(dst);
TEST_CYCLE_N(10) superRes->nextFrame(dst);
CPU_SANITY_CHECK(dst);
}
}
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
typedef Size_MatType SuperResolution_BTVL1;
OCL_PERF_TEST_P(SuperResolution_BTVL1 ,BTVL1,
Combine(Values(szSmall64, szSmall128),
Values(MatType(CV_8UC1), MatType(CV_8UC3))))
{
Size_MatType_t params = GetParam();
const Size size = get<0>(params);
const int type = get<1>(params);
Mat frame(size, type);
UMat dst(1, 1, 0);
declare.in(frame, WARMUP_RNG);
const int scale = 2;
const int iterations = 50;
const int temporalAreaRadius = 1;
Ptr<DenseOpticalFlowExt> opticalFlow(new ZeroOpticalFlow);
Ptr<SuperResolution> superRes = createSuperResolution_BTVL1();
superRes->setScale(scale);
superRes->setIterations(iterations);
superRes->setTemporalAreaRadius(temporalAreaRadius);
superRes->setOpticalFlow(opticalFlow);
superRes->setInput(makePtr<OneFrameSource_CPU>(frame));
// skip first frame
superRes->nextFrame(dst);
OCL_TEST_CYCLE_N(10) superRes->nextFrame(dst);
SANITY_CHECK_NOTHING();
}
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL