Normalize line endings and whitespace
This commit is contained in:

committed by
Andrey Kamaev

parent
69020da607
commit
04384a71e4
@@ -1,184 +1,184 @@
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/*
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* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
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*
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* NVIDIA Corporation and its licensors retain all intellectual
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* property and proprietary rights in and to this software and
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* related documentation and any modifications thereto.
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* Any use, reproduction, disclosure, or distribution of this
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* software and related documentation without an express license
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* agreement from NVIDIA Corporation is strictly prohibited.
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*/
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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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/*
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* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
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*
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* NVIDIA Corporation and its licensors retain all intellectual
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* property and proprietary rights in and to this software and
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* related documentation and any modifications thereto.
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* Any use, reproduction, disclosure, or distribution of this
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* software and related documentation without an express license
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* agreement from NVIDIA Corporation is strictly prohibited.
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*/
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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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