216 lines
8.6 KiB
C++
216 lines
8.6 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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#if !defined CUDA_DISABLER
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#include <math.h>
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#include "TestRectStdDev.h"
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TestRectStdDev::TestRectStdDev(std::string testName_, NCVTestSourceProvider<Ncv8u> &src_,
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Ncv32u width_, Ncv32u height_, NcvRect32u rect_, Ncv32f scaleFactor_,
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NcvBool bTextureCache_)
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:
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NCVTestProvider(testName_),
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src(src_),
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width(width_),
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height(height_),
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rect(rect_),
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scaleFactor(scaleFactor_),
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bTextureCache(bTextureCache_)
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{
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}
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bool TestRectStdDev::toString(std::ofstream &strOut)
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{
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strOut << "width=" << width << std::endl;
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strOut << "height=" << height << std::endl;
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strOut << "rect=[" << rect.x << ", " << rect.y << ", " << rect.width << ", " << rect.height << "]\n";
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strOut << "scaleFactor=" << scaleFactor << std::endl;
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strOut << "bTextureCache=" << bTextureCache << std::endl;
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return true;
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}
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bool TestRectStdDev::init()
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{
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return true;
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}
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bool TestRectStdDev::process()
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{
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NCVStatus ncvStat;
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bool rcode = false;
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Ncv32s _normWidth = (Ncv32s)this->width - this->rect.x - this->rect.width + 1;
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Ncv32s _normHeight = (Ncv32s)this->height - this->rect.y - this->rect.height + 1;
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if (_normWidth <= 0 || _normHeight <= 0)
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{
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return true;
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}
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Ncv32u normWidth = (Ncv32u)_normWidth;
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Ncv32u normHeight = (Ncv32u)_normHeight;
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NcvSize32u szNormRoi(normWidth, normHeight);
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Ncv32u widthII = this->width + 1;
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Ncv32u heightII = this->height + 1;
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Ncv32u widthSII = this->width + 1;
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Ncv32u heightSII = this->height + 1;
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NCVMatrixAlloc<Ncv8u> d_img(*this->allocatorGPU.get(), this->width, this->height);
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ncvAssertReturn(d_img.isMemAllocated(), false);
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NCVMatrixAlloc<Ncv8u> h_img(*this->allocatorCPU.get(), this->width, this->height);
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ncvAssertReturn(h_img.isMemAllocated(), false);
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NCVMatrixAlloc<Ncv32u> d_imgII(*this->allocatorGPU.get(), widthII, heightII);
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ncvAssertReturn(d_imgII.isMemAllocated(), false);
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NCVMatrixAlloc<Ncv32u> h_imgII(*this->allocatorCPU.get(), widthII, heightII);
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ncvAssertReturn(h_imgII.isMemAllocated(), false);
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NCVMatrixAlloc<Ncv64u> d_imgSII(*this->allocatorGPU.get(), widthSII, heightSII);
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ncvAssertReturn(d_imgSII.isMemAllocated(), false);
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NCVMatrixAlloc<Ncv64u> h_imgSII(*this->allocatorCPU.get(), widthSII, heightSII);
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ncvAssertReturn(h_imgSII.isMemAllocated(), false);
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NCVMatrixAlloc<Ncv32f> d_norm(*this->allocatorGPU.get(), normWidth, normHeight);
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ncvAssertReturn(d_norm.isMemAllocated(), false);
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NCVMatrixAlloc<Ncv32f> h_norm(*this->allocatorCPU.get(), normWidth, normHeight);
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ncvAssertReturn(h_norm.isMemAllocated(), false);
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NCVMatrixAlloc<Ncv32f> h_norm_d(*this->allocatorCPU.get(), normWidth, normHeight);
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ncvAssertReturn(h_norm_d.isMemAllocated(), false);
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Ncv32u bufSizeII, bufSizeSII;
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ncvStat = nppiStIntegralGetSize_8u32u(NcvSize32u(this->width, this->height), &bufSizeII, this->devProp);
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ncvAssertReturn(NPPST_SUCCESS == ncvStat, false);
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ncvStat = nppiStSqrIntegralGetSize_8u64u(NcvSize32u(this->width, this->height), &bufSizeSII, this->devProp);
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ncvAssertReturn(NPPST_SUCCESS == ncvStat, false);
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Ncv32u bufSize = bufSizeII > bufSizeSII ? bufSizeII : bufSizeSII;
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NCVVectorAlloc<Ncv8u> d_tmpBuf(*this->allocatorGPU.get(), bufSize);
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ncvAssertReturn(d_tmpBuf.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_img), false);
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ncvStat = h_img.copySolid(d_img, 0);
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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ncvStat = nppiStIntegral_8u32u_C1R(d_img.ptr(), d_img.pitch(),
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d_imgII.ptr(), d_imgII.pitch(),
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NcvSize32u(this->width, this->height),
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d_tmpBuf.ptr(), bufSize, this->devProp);
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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ncvStat = nppiStSqrIntegral_8u64u_C1R(d_img.ptr(), d_img.pitch(),
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d_imgSII.ptr(), d_imgSII.pitch(),
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NcvSize32u(this->width, this->height),
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d_tmpBuf.ptr(), bufSize, this->devProp);
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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ncvStat = nppiStRectStdDev_32f_C1R(d_imgII.ptr(), d_imgII.pitch(),
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d_imgSII.ptr(), d_imgSII.pitch(),
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d_norm.ptr(), d_norm.pitch(),
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szNormRoi, this->rect,
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this->scaleFactor,
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this->bTextureCache);
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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ncvStat = d_norm.copySolid(h_norm_d, 0);
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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ncvStat = nppiStIntegral_8u32u_C1R_host(h_img.ptr(), h_img.pitch(),
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h_imgII.ptr(), h_imgII.pitch(),
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NcvSize32u(this->width, this->height));
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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ncvStat = nppiStSqrIntegral_8u64u_C1R_host(h_img.ptr(), h_img.pitch(),
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h_imgSII.ptr(), h_imgSII.pitch(),
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NcvSize32u(this->width, this->height));
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ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
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ncvStat = nppiStRectStdDev_32f_C1R_host(h_imgII.ptr(), h_imgII.pitch(),
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h_imgSII.ptr(), h_imgSII.pitch(),
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h_norm.ptr(), h_norm.pitch(),
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szNormRoi, this->rect,
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this->scaleFactor);
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ncvAssertReturn(ncvStat == NPPST_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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const Ncv64f relEPS = 0.005;
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for (Ncv32u i=0; bLoopVirgin && i < h_norm.height(); i++)
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{
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for (Ncv32u j=0; bLoopVirgin && j < h_norm.width(); j++)
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{
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Ncv64f absErr = fabs(h_norm.ptr()[h_norm.stride()*i+j] - h_norm_d.ptr()[h_norm_d.stride()*i+j]);
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Ncv64f relErr = absErr / h_norm.ptr()[h_norm.stride()*i+j];
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if (relErr > relEPS)
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{
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bLoopVirgin = false;
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}
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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 TestRectStdDev::deinit()
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{
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return true;
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}
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#endif /* CUDA_DISABLER */
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