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/*
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
*
* NVIDIA Corporation and its licensors retain all intellectual
* property and proprietary rights in and to this software and
* related documentation and any modifications thereto.
* Any use, reproduction, disclosure, or distribution of this
* software and related documentation without an express license
* agreement from NVIDIA Corporation is strictly prohibited.
*/
#if !defined CUDA_DISABLER
#include "TestHypothesesGrow.h"
#include "NCVHaarObjectDetection.hpp"
TestHypothesesGrow::TestHypothesesGrow(std::string testName_, NCVTestSourceProvider<Ncv32u> &src_,
Ncv32u rectWidth_, Ncv32u rectHeight_, Ncv32f rectScale_,
Ncv32u maxLenSrc_, Ncv32u lenSrc_, Ncv32u maxLenDst_, Ncv32u lenDst_)
:
NCVTestProvider(testName_),
src(src_),
rectWidth(rectWidth_),
rectHeight(rectHeight_),
rectScale(rectScale_),
maxLenSrc(maxLenSrc_),
lenSrc(lenSrc_),
maxLenDst(maxLenDst_),
lenDst(lenDst_)
{
}
bool TestHypothesesGrow::toString(std::ofstream &strOut)
{
strOut << "rectWidth=" << rectWidth << std::endl;
strOut << "rectHeight=" << rectHeight << std::endl;
strOut << "rectScale=" << rectScale << std::endl;
strOut << "maxLenSrc=" << maxLenSrc << std::endl;
strOut << "lenSrc=" << lenSrc << std::endl;
strOut << "maxLenDst=" << maxLenDst << std::endl;
strOut << "lenDst=" << lenDst << std::endl;
return true;
}
bool TestHypothesesGrow::init()
{
return true;
}
bool TestHypothesesGrow::process()
{
NCVStatus ncvStat;
bool rcode = false;
NCVVectorAlloc<Ncv32u> h_vecSrc(*this->allocatorCPU.get(), this->maxLenSrc);
ncvAssertReturn(h_vecSrc.isMemAllocated(), false);
NCVVectorAlloc<Ncv32u> d_vecSrc(*this->allocatorGPU.get(), this->maxLenSrc);
ncvAssertReturn(d_vecSrc.isMemAllocated(), false);
NCVVectorAlloc<NcvRect32u> h_vecDst(*this->allocatorCPU.get(), this->maxLenDst);
ncvAssertReturn(h_vecDst.isMemAllocated(), false);
NCVVectorAlloc<NcvRect32u> d_vecDst(*this->allocatorGPU.get(), this->maxLenDst);
ncvAssertReturn(d_vecDst.isMemAllocated(), false);
NCVVectorAlloc<NcvRect32u> h_vecDst_d(*this->allocatorCPU.get(), this->maxLenDst);
ncvAssertReturn(h_vecDst_d.isMemAllocated(), false);
NCV_SET_SKIP_COND(this->allocatorGPU.get()->isCounting());
NCV_SKIP_COND_BEGIN
ncvAssertReturn(this->src.fill(h_vecSrc), false);
memset(h_vecDst.ptr(), 0, h_vecDst.length() * sizeof(NcvRect32u));
NCVVectorReuse<Ncv32u> h_vecDst_as32u(h_vecDst.getSegment(), lenDst * sizeof(NcvRect32u) / sizeof(Ncv32u));
ncvAssertReturn(h_vecDst_as32u.isMemReused(), false);
ncvAssertReturn(this->src.fill(h_vecDst_as32u), false);
memcpy(h_vecDst_d.ptr(), h_vecDst.ptr(), h_vecDst.length() * sizeof(NcvRect32u));
NCV_SKIP_COND_END
ncvStat = h_vecSrc.copySolid(d_vecSrc, 0);
ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
ncvStat = h_vecDst.copySolid(d_vecDst, 0);
ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
ncvAssertCUDAReturn(cudaStreamSynchronize(0), false);
Ncv32u h_outElemNum_d = 0;
Ncv32u h_outElemNum_h = 0;
NCV_SKIP_COND_BEGIN
h_outElemNum_d = this->lenDst;
ncvStat = ncvGrowDetectionsVector_device(d_vecSrc, this->lenSrc,
d_vecDst, h_outElemNum_d, this->maxLenDst,
this->rectWidth, this->rectHeight, this->rectScale, 0);
ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
ncvStat = d_vecDst.copySolid(h_vecDst_d, 0);
ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
ncvAssertCUDAReturn(cudaStreamSynchronize(0), false);
h_outElemNum_h = this->lenDst;
ncvStat = ncvGrowDetectionsVector_host(h_vecSrc, this->lenSrc,
h_vecDst, h_outElemNum_h, this->maxLenDst,
this->rectWidth, this->rectHeight, this->rectScale);
ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
NCV_SKIP_COND_END
//bit-to-bit check
bool bLoopVirgin = true;
NCV_SKIP_COND_BEGIN
if (h_outElemNum_d != h_outElemNum_h)
{
bLoopVirgin = false;
}
else
{
if (memcmp(h_vecDst.ptr(), h_vecDst_d.ptr(), this->maxLenDst * sizeof(NcvRect32u)))
{
bLoopVirgin = false;
}
}
NCV_SKIP_COND_END
if (bLoopVirgin)
{
rcode = true;
}
return rcode;
}
bool TestHypothesesGrow::deinit()
{
return true;
}
#endif /* CUDA_DISABLER */