mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
185 lines
6.3 KiB
185 lines
6.3 KiB
/* |
|
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved. |
|
* |
|
* NVIDIA Corporation and its licensors retain all intellectual |
|
* property and proprietary rights in and to this software and |
|
* related documentation and any modifications thereto. |
|
* Any use, reproduction, disclosure, or distribution of this |
|
* software and related documentation without an express license |
|
* agreement from NVIDIA Corporation is strictly prohibited. |
|
*/ |
|
|
|
#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>;
|
|
|