221 lines
7.9 KiB
C++
221 lines
7.9 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
|
//
|
|
// By downloading, copying, installing or using the software you agree to this license.
|
|
// If you do not agree to this license, do not download, install,
|
|
// copy or use the software.
|
|
//
|
|
//
|
|
// License Agreement
|
|
// For Open Source Computer Vision Library
|
|
//
|
|
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
|
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
|
// Third party copyrights are property of their respective owners.
|
|
//
|
|
// Redistribution and use in source and binary forms, with or without modification,
|
|
// are permitted provided that the following conditions are met:
|
|
//
|
|
// * Redistribution's of source code must retain the above copyright notice,
|
|
// this list of conditions and the following disclaimer.
|
|
//
|
|
// * Redistribution's in binary form must reproduce the above copyright notice,
|
|
// this list of conditions and the following disclaimer in the documentation
|
|
// and/or other materials provided with the distribution.
|
|
//
|
|
// * The name of the copyright holders may not be used to endorse or promote products
|
|
// derived from this software without specific prior written permission.
|
|
//
|
|
// This software is provided by the copyright holders and contributors "as is" and
|
|
// any express or implied warranties, including, but not limited to, the implied
|
|
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
|
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
|
// indirect, incidental, special, exemplary, or consequential damages
|
|
// (including, but not limited to, procurement of substitute goods or services;
|
|
// loss of use, data, or profits; or business interruption) however caused
|
|
// and on any theory of liability, whether in contract, strict liability,
|
|
// or tort (including negligence or otherwise) arising in any way out of
|
|
// the use of this software, even if advised of the possibility of such damage.
|
|
//
|
|
//M*/
|
|
|
|
#if !defined CUDA_DISABLER
|
|
|
|
#include <math.h>
|
|
#include "TestIntegralImage.h"
|
|
|
|
|
|
template <class T_in, class T_out>
|
|
TestIntegralImage<T_in, T_out>::TestIntegralImage(std::string testName_, NCVTestSourceProvider<T_in> &src_,
|
|
Ncv32u width_, Ncv32u height_)
|
|
:
|
|
NCVTestProvider(testName_),
|
|
src(src_),
|
|
width(width_),
|
|
height(height_)
|
|
{
|
|
}
|
|
|
|
|
|
template <class T_in, class T_out>
|
|
bool TestIntegralImage<T_in, T_out>::toString(std::ofstream &strOut)
|
|
{
|
|
strOut << "sizeof(T_in)=" << sizeof(T_in) << std::endl;
|
|
strOut << "sizeof(T_out)=" << sizeof(T_out) << std::endl;
|
|
strOut << "width=" << width << std::endl;
|
|
strOut << "height=" << height << std::endl;
|
|
return true;
|
|
}
|
|
|
|
|
|
template <class T_in, class T_out>
|
|
bool TestIntegralImage<T_in, T_out>::init()
|
|
{
|
|
return true;
|
|
}
|
|
|
|
|
|
template <class T_in, class T_out>
|
|
bool TestIntegralImage<T_in, T_out>::process()
|
|
{
|
|
NCVStatus ncvStat;
|
|
bool rcode = false;
|
|
|
|
Ncv32u widthII = this->width + 1;
|
|
Ncv32u heightII = this->height + 1;
|
|
|
|
NCVMatrixAlloc<T_in> d_img(*this->allocatorGPU.get(), this->width, this->height);
|
|
ncvAssertReturn(d_img.isMemAllocated(), false);
|
|
NCVMatrixAlloc<T_in> h_img(*this->allocatorCPU.get(), this->width, this->height);
|
|
ncvAssertReturn(h_img.isMemAllocated(), false);
|
|
NCVMatrixAlloc<T_out> d_imgII(*this->allocatorGPU.get(), widthII, heightII);
|
|
ncvAssertReturn(d_imgII.isMemAllocated(), false);
|
|
NCVMatrixAlloc<T_out> h_imgII(*this->allocatorCPU.get(), widthII, heightII);
|
|
ncvAssertReturn(h_imgII.isMemAllocated(), false);
|
|
NCVMatrixAlloc<T_out> h_imgII_d(*this->allocatorCPU.get(), widthII, heightII);
|
|
ncvAssertReturn(h_imgII_d.isMemAllocated(), false);
|
|
|
|
Ncv32u bufSize;
|
|
if (sizeof(T_in) == sizeof(Ncv8u))
|
|
{
|
|
ncvStat = nppiStIntegralGetSize_8u32u(NcvSize32u(this->width, this->height), &bufSize, this->devProp);
|
|
ncvAssertReturn(NPPST_SUCCESS == ncvStat, false);
|
|
}
|
|
else if (sizeof(T_in) == sizeof(Ncv32f))
|
|
{
|
|
ncvStat = nppiStIntegralGetSize_32f32f(NcvSize32u(this->width, this->height), &bufSize, this->devProp);
|
|
ncvAssertReturn(NPPST_SUCCESS == ncvStat, false);
|
|
}
|
|
else
|
|
{
|
|
ncvAssertPrintReturn(false, "Incorrect integral image test instance", false);
|
|
}
|
|
|
|
NCVVectorAlloc<Ncv8u> d_tmpBuf(*this->allocatorGPU.get(), bufSize);
|
|
ncvAssertReturn(d_tmpBuf.isMemAllocated(), false);
|
|
|
|
NCV_SET_SKIP_COND(this->allocatorGPU.get()->isCounting());
|
|
NCV_SKIP_COND_BEGIN
|
|
|
|
ncvAssertReturn(this->src.fill(h_img), false);
|
|
|
|
ncvStat = h_img.copySolid(d_img, 0);
|
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
|
|
|
|
if (sizeof(T_in) == sizeof(Ncv8u))
|
|
{
|
|
ncvStat = nppiStIntegral_8u32u_C1R((Ncv8u *)d_img.ptr(), d_img.pitch(),
|
|
(Ncv32u *)d_imgII.ptr(), d_imgII.pitch(),
|
|
NcvSize32u(this->width, this->height),
|
|
d_tmpBuf.ptr(), bufSize, this->devProp);
|
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
|
|
}
|
|
else if (sizeof(T_in) == sizeof(Ncv32f))
|
|
{
|
|
ncvStat = nppiStIntegral_32f32f_C1R((Ncv32f *)d_img.ptr(), d_img.pitch(),
|
|
(Ncv32f *)d_imgII.ptr(), d_imgII.pitch(),
|
|
NcvSize32u(this->width, this->height),
|
|
d_tmpBuf.ptr(), bufSize, this->devProp);
|
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
|
|
}
|
|
else
|
|
{
|
|
ncvAssertPrintReturn(false, "Incorrect integral image test instance", false);
|
|
}
|
|
|
|
ncvStat = d_imgII.copySolid(h_imgII_d, 0);
|
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
|
|
|
|
if (sizeof(T_in) == sizeof(Ncv8u))
|
|
{
|
|
ncvStat = nppiStIntegral_8u32u_C1R_host((Ncv8u *)h_img.ptr(), h_img.pitch(),
|
|
(Ncv32u *)h_imgII.ptr(), h_imgII.pitch(),
|
|
NcvSize32u(this->width, this->height));
|
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
|
|
}
|
|
else if (sizeof(T_in) == sizeof(Ncv32f))
|
|
{
|
|
ncvStat = nppiStIntegral_32f32f_C1R_host((Ncv32f *)h_img.ptr(), h_img.pitch(),
|
|
(Ncv32f *)h_imgII.ptr(), h_imgII.pitch(),
|
|
NcvSize32u(this->width, this->height));
|
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
|
|
}
|
|
else
|
|
{
|
|
ncvAssertPrintReturn(false, "Incorrect integral image test instance", false);
|
|
}
|
|
|
|
NCV_SKIP_COND_END
|
|
|
|
//bit-to-bit check
|
|
bool bLoopVirgin = true;
|
|
|
|
NCV_SKIP_COND_BEGIN
|
|
for (Ncv32u i=0; bLoopVirgin && i < h_img.height() + 1; i++)
|
|
{
|
|
for (Ncv32u j=0; bLoopVirgin && j < h_img.width() + 1; j++)
|
|
{
|
|
if (sizeof(T_in) == sizeof(Ncv8u))
|
|
{
|
|
if (h_imgII.ptr()[h_imgII.stride()*i+j] != h_imgII_d.ptr()[h_imgII_d.stride()*i+j])
|
|
{
|
|
bLoopVirgin = false;
|
|
}
|
|
}
|
|
else if (sizeof(T_in) == sizeof(Ncv32f))
|
|
{
|
|
if (fabsf((float)h_imgII.ptr()[h_imgII.stride()*i+j] - (float)h_imgII_d.ptr()[h_imgII_d.stride()*i+j]) > 0.01f)
|
|
{
|
|
bLoopVirgin = false;
|
|
}
|
|
}
|
|
else
|
|
{
|
|
ncvAssertPrintReturn(false, "Incorrect integral image test instance", false);
|
|
}
|
|
}
|
|
}
|
|
NCV_SKIP_COND_END
|
|
|
|
if (bLoopVirgin)
|
|
{
|
|
rcode = true;
|
|
}
|
|
|
|
return rcode;
|
|
}
|
|
|
|
|
|
template <class T_in, class T_out>
|
|
bool TestIntegralImage<T_in, T_out>::deinit()
|
|
{
|
|
return true;
|
|
}
|
|
|
|
|
|
template class TestIntegralImage<Ncv8u, Ncv32u>;
|
|
template class TestIntegralImage<Ncv32f, Ncv32f>;
|
|
|
|
#endif /* CUDA_DISABLER */
|