mirror of
https://github.com/opencv/opencv.git
synced 2024-12-06 02:11:57 +08:00
197 lines
6.6 KiB
C++
197 lines
6.6 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 "TestResize.h"
|
|
|
|
|
|
template <class T>
|
|
TestResize<T>::TestResize(std::string testName_, NCVTestSourceProvider<T> &src_,
|
|
Ncv32u width_, Ncv32u height_, Ncv32u scaleFactor_, NcvBool bTextureCache_)
|
|
:
|
|
NCVTestProvider(testName_),
|
|
src(src_),
|
|
width(width_),
|
|
height(height_),
|
|
scaleFactor(scaleFactor_),
|
|
bTextureCache(bTextureCache_)
|
|
{
|
|
}
|
|
|
|
|
|
template <class T>
|
|
bool TestResize<T>::toString(std::ofstream &strOut)
|
|
{
|
|
strOut << "sizeof(T)=" << sizeof(T) << std::endl;
|
|
strOut << "width=" << width << std::endl;
|
|
strOut << "scaleFactor=" << scaleFactor << std::endl;
|
|
strOut << "bTextureCache=" << bTextureCache << std::endl;
|
|
return true;
|
|
}
|
|
|
|
|
|
template <class T>
|
|
bool TestResize<T>::init()
|
|
{
|
|
return true;
|
|
}
|
|
|
|
|
|
template <class T>
|
|
bool TestResize<T>::process()
|
|
{
|
|
NCVStatus ncvStat;
|
|
bool rcode = false;
|
|
|
|
Ncv32s smallWidth = this->width / this->scaleFactor;
|
|
Ncv32s smallHeight = this->height / this->scaleFactor;
|
|
if (smallWidth == 0 || smallHeight == 0)
|
|
{
|
|
return true;
|
|
}
|
|
|
|
NcvSize32u srcSize(this->width, this->height);
|
|
|
|
NCVMatrixAlloc<T> d_img(*this->allocatorGPU.get(), this->width, this->height);
|
|
ncvAssertReturn(d_img.isMemAllocated(), false);
|
|
NCVMatrixAlloc<T> h_img(*this->allocatorCPU.get(), this->width, this->height);
|
|
ncvAssertReturn(h_img.isMemAllocated(), false);
|
|
|
|
NCVMatrixAlloc<T> d_small(*this->allocatorGPU.get(), smallWidth, smallHeight);
|
|
ncvAssertReturn(d_small.isMemAllocated(), false);
|
|
NCVMatrixAlloc<T> h_small(*this->allocatorCPU.get(), smallWidth, smallHeight);
|
|
ncvAssertReturn(h_small.isMemAllocated(), false);
|
|
NCVMatrixAlloc<T> h_small_d(*this->allocatorCPU.get(), smallWidth, smallHeight);
|
|
ncvAssertReturn(h_small_d.isMemAllocated(), false);
|
|
|
|
NCV_SET_SKIP_COND(this->allocatorGPU.get()->isCounting());
|
|
NCV_SKIP_COND_BEGIN
|
|
ncvAssertReturn(this->src.fill(h_img), false);
|
|
NCV_SKIP_COND_END
|
|
|
|
ncvStat = h_img.copySolid(d_img, 0);
|
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
|
|
NCV_SKIP_COND_BEGIN
|
|
if (sizeof(T) == sizeof(Ncv32u))
|
|
{
|
|
ncvStat = nppiStDecimate_32u_C1R((Ncv32u *)d_img.ptr(), d_img.pitch(),
|
|
(Ncv32u *)d_small.ptr(), d_small.pitch(),
|
|
srcSize, this->scaleFactor,
|
|
this->bTextureCache);
|
|
}
|
|
else if (sizeof(T) == sizeof(Ncv64u))
|
|
{
|
|
ncvStat = nppiStDecimate_64u_C1R((Ncv64u *)d_img.ptr(), d_img.pitch(),
|
|
(Ncv64u *)d_small.ptr(), d_small.pitch(),
|
|
srcSize, this->scaleFactor,
|
|
this->bTextureCache);
|
|
}
|
|
else
|
|
{
|
|
ncvAssertPrintReturn(false, "Incorrect downsample test instance", false);
|
|
}
|
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
|
|
NCV_SKIP_COND_END
|
|
ncvStat = d_small.copySolid(h_small_d, 0);
|
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
|
|
|
|
NCV_SKIP_COND_BEGIN
|
|
if (sizeof(T) == sizeof(Ncv32u))
|
|
{
|
|
ncvStat = nppiStDecimate_32u_C1R_host((Ncv32u *)h_img.ptr(), h_img.pitch(),
|
|
(Ncv32u *)h_small.ptr(), h_small.pitch(),
|
|
srcSize, this->scaleFactor);
|
|
}
|
|
else if (sizeof(T) == sizeof(Ncv64u))
|
|
{
|
|
ncvStat = nppiStDecimate_64u_C1R_host((Ncv64u *)h_img.ptr(), h_img.pitch(),
|
|
(Ncv64u *)h_small.ptr(), h_small.pitch(),
|
|
srcSize, this->scaleFactor);
|
|
}
|
|
else
|
|
{
|
|
ncvAssertPrintReturn(false, "Incorrect downsample test instance", false);
|
|
}
|
|
ncvAssertReturn(ncvStat == NPPST_SUCCESS, false);
|
|
NCV_SKIP_COND_END
|
|
|
|
//bit-to-bit check
|
|
bool bLoopVirgin = true;
|
|
|
|
NCV_SKIP_COND_BEGIN
|
|
//const Ncv64f relEPS = 0.005;
|
|
for (Ncv32u i=0; bLoopVirgin && i < h_small.height(); i++)
|
|
{
|
|
for (Ncv32u j=0; bLoopVirgin && j < h_small.width(); j++)
|
|
{
|
|
if (h_small.ptr()[h_small.stride()*i+j] != h_small_d.ptr()[h_small_d.stride()*i+j])
|
|
{
|
|
bLoopVirgin = false;
|
|
}
|
|
}
|
|
}
|
|
NCV_SKIP_COND_END
|
|
|
|
if (bLoopVirgin)
|
|
{
|
|
rcode = true;
|
|
}
|
|
|
|
return rcode;
|
|
}
|
|
|
|
|
|
template <class T>
|
|
bool TestResize<T>::deinit()
|
|
{
|
|
return true;
|
|
}
|
|
|
|
|
|
template class TestResize<Ncv32u>;
|
|
template class TestResize<Ncv64u>;
|
|
|
|
#endif /* CUDA_DISABLER */
|