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165 lines
6.1 KiB
C++
165 lines
6.1 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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TestHypothesesGrow::TestHypothesesGrow(std::string testName_, NCVTestSourceProvider<Ncv32u> &src_,
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Ncv32u rectWidth_, Ncv32u rectHeight_, Ncv32f rectScale_,
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Ncv32u maxLenSrc_, Ncv32u lenSrc_, Ncv32u maxLenDst_, Ncv32u lenDst_)
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:
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NCVTestProvider(testName_),
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src(src_),
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rectWidth(rectWidth_),
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rectHeight(rectHeight_),
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rectScale(rectScale_),
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maxLenSrc(maxLenSrc_),
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lenSrc(lenSrc_),
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maxLenDst(maxLenDst_),
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lenDst(lenDst_)
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{
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}
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bool TestHypothesesGrow::toString(std::ofstream &strOut)
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{
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strOut << "rectWidth=" << rectWidth << std::endl;
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strOut << "rectHeight=" << rectHeight << std::endl;
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strOut << "rectScale=" << rectScale << std::endl;
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strOut << "maxLenSrc=" << maxLenSrc << std::endl;
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strOut << "lenSrc=" << lenSrc << std::endl;
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strOut << "maxLenDst=" << maxLenDst << std::endl;
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strOut << "lenDst=" << lenDst << std::endl;
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return true;
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}
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bool TestHypothesesGrow::init()
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{
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return true;
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}
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bool TestHypothesesGrow::process()
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{
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NCVStatus ncvStat;
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bool rcode = false;
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NCVVectorAlloc<Ncv32u> h_vecSrc(*this->allocatorCPU.get(), this->maxLenSrc);
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ncvAssertReturn(h_vecSrc.isMemAllocated(), false);
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NCVVectorAlloc<Ncv32u> d_vecSrc(*this->allocatorGPU.get(), this->maxLenSrc);
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ncvAssertReturn(d_vecSrc.isMemAllocated(), false);
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NCVVectorAlloc<NcvRect32u> h_vecDst(*this->allocatorCPU.get(), this->maxLenDst);
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ncvAssertReturn(h_vecDst.isMemAllocated(), false);
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NCVVectorAlloc<NcvRect32u> d_vecDst(*this->allocatorGPU.get(), this->maxLenDst);
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ncvAssertReturn(d_vecDst.isMemAllocated(), false);
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NCVVectorAlloc<NcvRect32u> h_vecDst_d(*this->allocatorCPU.get(), this->maxLenDst);
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ncvAssertReturn(h_vecDst_d.isMemAllocated(), false);
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NCV_SET_SKIP_COND(this->allocatorGPU.get()->isCounting());
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NCV_SKIP_COND_BEGIN
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ncvAssertReturn(this->src.fill(h_vecSrc), false);
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memset(h_vecDst.ptr(), 0, h_vecDst.length() * sizeof(NcvRect32u));
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NCVVectorReuse<Ncv32u> h_vecDst_as32u(h_vecDst.getSegment(), lenDst * sizeof(NcvRect32u) / sizeof(Ncv32u));
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ncvAssertReturn(h_vecDst_as32u.isMemReused(), false);
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ncvAssertReturn(this->src.fill(h_vecDst_as32u), false);
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memcpy(h_vecDst_d.ptr(), h_vecDst.ptr(), h_vecDst.length() * sizeof(NcvRect32u));
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NCV_SKIP_COND_END
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ncvStat = h_vecSrc.copySolid(d_vecSrc, 0);
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ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
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ncvStat = h_vecDst.copySolid(d_vecDst, 0);
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ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
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ncvAssertCUDAReturn(cudaStreamSynchronize(0), false);
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Ncv32u h_outElemNum_d = 0;
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Ncv32u h_outElemNum_h = 0;
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NCV_SKIP_COND_BEGIN
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h_outElemNum_d = this->lenDst;
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ncvStat = ncvGrowDetectionsVector_device(d_vecSrc, this->lenSrc,
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d_vecDst, h_outElemNum_d, this->maxLenDst,
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this->rectWidth, this->rectHeight, this->rectScale, 0);
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ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
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ncvStat = d_vecDst.copySolid(h_vecDst_d, 0);
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ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
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ncvAssertCUDAReturn(cudaStreamSynchronize(0), false);
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h_outElemNum_h = this->lenDst;
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ncvStat = ncvGrowDetectionsVector_host(h_vecSrc, this->lenSrc,
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h_vecDst, h_outElemNum_h, this->maxLenDst,
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this->rectWidth, this->rectHeight, this->rectScale);
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ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
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NCV_SKIP_COND_END
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//bit-to-bit check
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bool bLoopVirgin = true;
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NCV_SKIP_COND_BEGIN
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if (h_outElemNum_d != h_outElemNum_h)
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{
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bLoopVirgin = false;
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}
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else
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{
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if (memcmp(h_vecDst.ptr(), h_vecDst_d.ptr(), this->maxLenDst * sizeof(NcvRect32u)))
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{
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bLoopVirgin = false;
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}
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}
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NCV_SKIP_COND_END
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if (bLoopVirgin)
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{
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rcode = true;
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}
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return rcode;
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}
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bool TestHypothesesGrow::deinit()
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{
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return true;
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}
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