170 lines
		
	
	
		
			6.2 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			170 lines
		
	
	
		
			6.2 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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| 
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| #if !defined CUDA_DISABLER
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| 
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| #include "TestHypothesesGrow.h"
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| #include "NCVHaarObjectDetection.hpp"
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| 
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| 
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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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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| 
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|     NCV_SET_SKIP_COND(this->allocatorGPU.get()->isCounting());
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| 
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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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| 
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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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| 
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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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| 
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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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| 
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|     //bit-to-bit check
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|     bool bLoopVirgin = true;
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| 
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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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| 
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|     if (bLoopVirgin)
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|     {
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|         rcode = true;
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|     }
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| 
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|     return rcode;
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| }
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| 
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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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| 
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| #endif /* CUDA_DISABLER */
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