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added GPU implementation of morphology functions (using NPP) and tests for it.

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added npp_error function
added check_and_treat_gpu_exception function for tests_gpu
This commit is contained in:
Anatoly Baksheev 2010-09-17 15:28:59 +00:00
parent 97f2972fc0
commit 1387bfcde0
9 changed files with 535 additions and 6 deletions
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3
modules/core/include/opencv2/core/types_c.h
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@ -231,7 +231,8 @@ enum {
CV_StsBadMemBlock= -214, /* an allocated block has been corrupted */
CV_StsAssert= -215, /* assertion failed */
CV_GpuNotFound= -216,
CV_GpuApiCallError= -217
CV_GpuApiCallError= -217,
CV_GpuNppCallError= -218
};
/****************************************************************************************\

10
modules/gpu/include/opencv2/gpu/gpu.hpp
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@ -437,6 +437,16 @@ namespace cv
CV_EXPORTS void cvtColor(const GpuMat& src, GpuMat& dst, int code, int dcn = 0);
CV_EXPORTS void cvtColor(const GpuMat& src, GpuMat& dst, int code, int dcn, const Stream& stream);
//! erodes the image (applies the local minimum operator)
CV_EXPORTS void erode( const GpuMat& src, GpuMat& dst, const Mat& kernel, Point anchor, int iterations);
//! dilates the image (applies the local maximum operator)
CV_EXPORTS void dilate( const GpuMat& src, GpuMat& dst, const Mat& kernel, Point anchor, int iterations);
//! applies an advanced morphological operation to the image
CV_EXPORTS void morphologyEx( const GpuMat& src, GpuMat& dst, int op, const Mat& kernel, Point anchor, int iterations);
//////////////////////////////// StereoBM_GPU ////////////////////////////////
class CV_EXPORTS StereoBM_GPU

3
modules/gpu/src/cuda/safe_call.hpp
View File

@ -59,6 +59,7 @@ namespace cv
namespace gpu
{
extern "C" void error( const char *error_string, const char *file, const int line, const char *func = "");
extern "C" void npp_error( int error, const char *file, const int line, const char *func = "");
static inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
{
@ -69,7 +70,7 @@ namespace cv
static inline void ___nppSafeCall(NppStatus err, const char *file, const int line, const char *func = "")
{
if (err < 0)
cv::gpu::error("NPP Error", file, line, func);
cv::gpu::npp_error(err, file, line, func);
}
}
}

143
modules/gpu/src/filtering_npp.cpp Normal file
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@ -0,0 +1,143 @@
/*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*/
#include "precomp.hpp"
using namespace cv;
using namespace cv::gpu;
#if !defined (HAVE_CUDA)
void cv::gpu::erode( const GpuMat& src, GpuMat& dst, const Mat& kernel, Point anchor, int iterations) { throw_nogpu(); }
void cv::gpu::dilate( const GpuMat& src, GpuMat& dst, const Mat& kernel, Point anchor, int iterations) { throw_nogpu(); }
void morphologyEx( const GpuMat& src, GpuMat& dst, int op, const Mat& kernel, Point anchor, int iterations) { throw_nogpu(); }
#else
namespace
{
typedef NppStatus (*npp_morf_func)(const Npp8u*, Npp32s, Npp8u*, Npp32s, NppiSize, const Npp8u*, NppiSize, NppiPoint);
void morphoogy_caller(npp_morf_func func, const GpuMat& src, GpuMat& dst, const Mat& kernel, Point anchor, int iterations)
{
CV_Assert(src.type() == CV_8U || src.type() == CV_8UC4);
CV_Assert(kernel.isContinuous() && kernel.type() == CV_8U && (kernel.cols & 1) != 0 && (kernel.rows & 1) != 0);
// in NPP for Cuda 3.1 only such anchor is supported.
CV_Assert(anchor.x == kernel.cols/2 && anchor.y == kernel.rows/2);
NppiSize sz;
sz.width = src.cols;
sz.height = dst.rows;
NppiSize mask_sz;
mask_sz.width = kernel.cols;
mask_sz.height = kernel.rows;
NppiPoint anc;
anc.x = anchor.x;
anc.y = anchor.y;
dst.create(src.size(), src.type());
for(int i = 0; i < iterations; ++i)
nppSafeCall( func(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, sz, kernel.ptr<Npp8u>(), mask_sz, anc) );
}
}
void cv::gpu::erode( const GpuMat& src, GpuMat& dst, const Mat& kernel, Point anchor, int iterations)
{
static npp_morf_func funcs[] = {0, nppiErode_8u_C1R, 0, 0, nppiErode_8u_C4R };
morphoogy_caller(funcs[src.channels()], src, dst, kernel, anchor, iterations);
}
void cv::gpu::dilate( const GpuMat& src, GpuMat& dst, const Mat& kernel, Point anchor, int iterations)
{
static npp_morf_func funcs[] = {0, nppiDilate_8u_C1R, 0, 0, nppiDilate_8u_C4R };
morphoogy_caller(funcs[src.channels()], src, dst, kernel, anchor, iterations);
}
void cv::gpu::morphologyEx( const GpuMat& src, GpuMat& dst, int op, const Mat& kernel, Point anchor, int iterations)
{
GpuMat temp;
switch( op )
{
case MORPH_ERODE: erode( src, dst, kernel, anchor, iterations); break;
case MORPH_DILATE: dilate( src, dst, kernel, anchor, iterations); break;
case MORPH_OPEN:
erode( src, dst, kernel, anchor, iterations);
dilate( dst, dst, kernel, anchor, iterations);
break;
case CV_MOP_CLOSE:
dilate( src, dst, kernel, anchor, iterations);
erode( dst, dst, kernel, anchor, iterations);
break;
case CV_MOP_GRADIENT:
erode( src, temp, kernel, anchor, iterations);
dilate( src, dst, kernel, anchor, iterations);
subtract(dst, temp, dst);
break;
case CV_MOP_TOPHAT:
if( src.data != dst.data )
temp = dst;
erode( src, temp, kernel, anchor, iterations);
dilate( temp, temp, kernel, anchor, iterations);
subtract(src, temp, dst);
break;
case CV_MOP_BLACKHAT:
if( src.data != dst.data )
temp = dst;
dilate( src, temp, kernel, anchor, iterations);
erode( temp, temp, kernel, anchor, iterations);
dst = temp - src;
subtract(temp, src, dst);
break;
default:
CV_Error( CV_StsBadArg, "unknown morphological operation" );
}
}
#endif

133
modules/gpu/src/npp_error.cpp Normal file
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@ -0,0 +1,133 @@
/*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*/
#include "precomp.hpp"
using namespace cv;
using namespace cv::gpu;
#if !defined (HAVE_CUDA)
#else /* !defined (HAVE_CUDA) */
namespace
{
struct NppError
{
int error;
const char* str;
}
npp_errors [] =
{
{ NPP_NOT_SUPPORTED_MODE_ERROR, "NPP_NOT_SUPPORTED_MODE_ERROR" },
{ NPP_ROUND_MODE_NOT_SUPPORTED_ERROR, "NPP_ROUND_MODE_NOT_SUPPORTED_ERROR" },
{ NPP_RESIZE_NO_OPERATION_ERROR, "NPP_RESIZE_NO_OPERATION_ERROR" },
{ NPP_BAD_ARG_ERROR, "NPP_BAD_ARG_ERROR" },
{ NPP_LUT_NUMBER_OF_LEVELS_ERROR, "NPP_LUT_NUMBER_OF_LEVELS_ERROR" },
{ NPP_TEXTURE_BIND_ERROR, "NPP_TEXTURE_BIND_ERROR" },
{ NPP_COEFF_ERROR, "NPP_COEFF_ERROR" },
{ NPP_RECT_ERROR, "NPP_RECT_ERROR" },
{ NPP_QUAD_ERROR, "NPP_QUAD_ERROR" },
{ NPP_WRONG_INTERSECTION_ROI_ERROR, "NPP_WRONG_INTERSECTION_ROI_ERROR" },
{ NPP_NOT_EVEN_STEP_ERROR, "NPP_NOT_EVEN_STEP_ERROR" },
{ NPP_INTERPOLATION_ERROR, "NPP_INTERPOLATION_ERROR" },
{ NPP_RESIZE_FACTOR_ERROR, "NPP_RESIZE_FACTOR_ERROR" },
{ NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR, "NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR" },
{ NPP_MEMFREE_ERR, "NPP_MEMFREE_ERR" },
{ NPP_MEMSET_ERR, "NPP_MEMSET_ERR" },
{ NPP_MEMCPY_ERROR, "NPP_MEMCPY_ERROR" },
{ NPP_MEM_ALLOC_ERR, "NPP_MEM_ALLOC_ERR" },
{ NPP_HISTO_NUMBER_OF_LEVELS_ERROR, "NPP_HISTO_NUMBER_OF_LEVELS_ERROR" },
{ NPP_MIRROR_FLIP_ERR, "NPP_MIRROR_FLIP_ERR" },
{ NPP_INVALID_INPUT, "NPP_INVALID_INPUT" },
{ NPP_ALIGNMENT_ERROR, "NPP_ALIGNMENT_ERROR" },
{ NPP_STEP_ERROR, "NPP_STEP_ERROR" },
{ NPP_SIZE_ERROR, "NPP_SIZE_ERROR" },
{ NPP_POINTER_ERROR, "NPP_POINTER_ERROR" },
{ NPP_NULL_POINTER_ERROR, "NPP_NULL_POINTER_ERROR" },
{ NPP_CUDA_KERNEL_EXECUTION_ERROR, "NPP_CUDA_KERNEL_EXECUTION_ERROR" },
{ NPP_NOT_IMPLEMENTED_ERROR, "NPP_NOT_IMPLEMENTED_ERROR" },
{ NPP_ERROR, "NPP_ERROR" },
{ NPP_NO_ERROR, "NPP_NO_ERROR" },
{ NPP_SUCCESS, "NPP_SUCCESS" },
{ NPP_WARNING, "NPP_WARNING" },
{ NPP_WRONG_INTERSECTION_QUAD_WARNING, "NPP_WRONG_INTERSECTION_QUAD_WARNING" },
{ NPP_MISALIGNED_DST_ROI_WARNING, "NPP_MISALIGNED_DST_ROI_WARNING" },
{ NPP_AFFINE_QUAD_INCORRECT_WARNING, "NPP_AFFINE_QUAD_INCORRECT_WARNING" },
{ NPP_AFFINE_QUAD_CHANGED_WARNING, "NPP_AFFINE_QUAD_CHANGED_WARNING" },
{ NPP_ADJUSTED_ROI_SIZE_WARNING, "NPP_ADJUSTED_ROI_SIZE_WARNING" },
{ NPP_DOUBLE_SIZE_WARNING, "NPP_DOUBLE_SIZE_WARNING" },
{ NPP_ODD_ROI_WARNING, "NPP_ODD_ROI_WARNING" }
};
int error_num = sizeof(npp_errors)/sizeof(npp_errors[0]);
struct Searcher
{
int err;
Searcher(int err_) : err(err_) {};
bool operator()(const NppError& e) const { return e.error == err; }
};
}
namespace cv
{
namespace gpu
{
extern "C" const char* getNppErrorString( int err )
{
int idx = std::find_if(npp_errors, npp_errors + error_num, Searcher(err)) - npp_errors;
return (idx != error_num) ? npp_errors[idx].str : "";
}
extern "C" void npp_error( int err, const char *file, const int line, const char *func)
{
cv::error( cv::Exception(CV_GpuNppCallError, getNppErrorString(err), func, file, line) );
}
}
}
#endif

1
modules/gpu/src/precomp.hpp
View File

@ -53,6 +53,7 @@
#include <iostream>
#include <limits>
#include <vector>
#include <algorithm>
#include "opencv2/gpu/gpu.hpp"
#include "opencv2/imgproc/imgproc.hpp"

6
tests/CMakeLists.txt
View File

@ -7,9 +7,11 @@ add_subdirectory(cxts)
if(WITH_CUDA)
set (BUILD_TESTS_GPU OFF CACHE BOOL "Build tests GPU")
endif()
if(BUILD_TESTS_GPU AND WITH_CUDA)
if(BUILD_TESTS_GPU AND WITH_CUDA)
add_subdirectory(gpu)
endif()
endif()

24
tests/gpu/src/gputest.hpp
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@ -64,4 +64,28 @@
#endif /* _CXCORE_TEST_H_ */
inline bool check_and_treat_gpu_exception(const cv::Exception& e, CvTS* ts)
{
switch (e.code)
{
case CV_GpuNotFound:
ts->printf(CvTS::CONSOLE, "\nGpu not found");
break;
case CV_GpuApiCallError:
ts->printf(CvTS::CONSOLE, "\nGPU Error: %s", e.what());
break;
case CV_GpuNppCallError:
ts->printf(CvTS::CONSOLE, "\nNPP Error: %s", e.what());
break;
default:
return false;
}
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
return true;
}
/* End of file. */

214
tests/gpu/src/morf_filters.cpp Normal file
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@ -0,0 +1,214 @@
/*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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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*/
#include <iostream>
#include <cmath>
#include <limits>
#include "gputest.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
using namespace cv;
using namespace std;
using namespace gpu;
class CV_GpuNppMorphogyTest : public CvTest
{
public:
CV_GpuNppMorphogyTest(const char* test_name, const char* test_funcs) : CvTest(test_name, test_funcs) {}
virtual ~CV_GpuNppMorphogyTest() {}
protected:
void run(int);
virtual int test(const Mat& img) = 0;
int test8UC1(const Mat& img)
{
cv::Mat img_C1;
cvtColor(img, img_C1, CV_BGR2GRAY);
return test(img_C1);
}
int test8UC4(const Mat& img)
{
cv::Mat img_C4;
cvtColor(img, img_C4, CV_BGR2BGRA);
return test(img_C4);
}
int CheckNorm(const Mat& m1, const Mat& m2)
{
double res = norm(m1, m2, NORM_INF);
if (res < std::numeric_limits<double>::epsilon())
return CvTS::OK;
ts->printf(CvTS::LOG, "\nNorm: %f\n", res);
return CvTS::FAIL_GENERIC;
}
};
void CV_GpuNppMorphogyTest::run( int )
{
cv::Mat img = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-L.png");
if (img.empty())
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
try
{
//run tests
int testResult = test8UC1(img);
if (testResult != CvTS::OK)
{
ts->set_failed_test_info(testResult);
return;
}
testResult = test8UC4(img);
if (testResult != CvTS::OK)
{
ts->set_failed_test_info(testResult);
return;
}
}
catch(const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
}
ts->set_failed_test_info(CvTS::OK);
}
////////////////////////////////////////////////////////////////////////////////
// Erode
class CV_GpuErodeTest : public CV_GpuNppMorphogyTest
{
public:
CV_GpuErodeTest() : CV_GpuNppMorphogyTest( "GPU-NppErode", "erode" ) {}
protected:
virtual int test(const Mat& img)
{
Mat kernel(3, 3, CV_8U, 1);
Point anchor(1,1);
int iters = 3;
cv::Mat cpuRes;
cv::erode(img, cpuRes, kernel, anchor, iters);
GpuMat gpuRes;
cv::gpu::erode(GpuMat(img), gpuRes, kernel, anchor, iters);
return CheckNorm(cpuRes, gpuRes);
}
};
CV_GpuErodeTest CV_GpuErode_test;
////////////////////////////////////////////////////////////////////////////////
// Dilate
class CV_GpuDilateTest : public CV_GpuNppMorphogyTest
{
public:
CV_GpuDilateTest() : CV_GpuNppMorphogyTest( "GPU-NppDilate", "dilate" ) {}
protected:
virtual int test(const Mat& img)
{
Mat kernel(3, 3, CV_8U, 1);
Point anchor(1,1);
int iters = 3;
cv::Mat cpuRes;
cv::dilate(img, cpuRes, kernel, anchor, iters);
GpuMat gpuRes;
cv::gpu::dilate(GpuMat(img), gpuRes, kernel, anchor, iters);
return CheckNorm(cpuRes, gpuRes);
}
};
CV_GpuDilateTest CV_GpuDilate_test;
////////////////////////////////////////////////////////////////////////////////
// Dilate
class CV_GpuMorphExTest : public CV_GpuNppMorphogyTest
{
public:
CV_GpuMorphExTest() : CV_GpuNppMorphogyTest( "GPU-NppMorphologyEx", "dmorphologyExilate" ) {}
protected:
virtual int test(const Mat& img)
{
static int ops[] = { MORPH_OPEN, CV_MOP_CLOSE, CV_MOP_GRADIENT, CV_MOP_TOPHAT, CV_MOP_BLACKHAT};
const char *names[] = { "MORPH_OPEN", "CV_MOP_CLOSE", "CV_MOP_GRADIENT", "CV_MOP_TOPHAT", "CV_MOP_BLACKHAT"};
int num = sizeof(ops)/sizeof(ops[0]);
Mat kernel(3, 3, CV_8U, 1);
Point anchor(1,1);
int iters = 3;
for(int i = 0; i < num; ++i)
{
ts->printf(CvTS::LOG, "Tesing %s\n", names[i]);
cv::Mat cpuRes;
cv::morphologyEx(img, cpuRes, ops[i], kernel, anchor, iters);
GpuMat gpuRes;
cv::gpu::morphologyEx(GpuMat(img), gpuRes, ops[i], kernel, anchor, iters);
int res = CheckNorm(cpuRes, gpuRes);
if (CvTS::OK != res)
return res;
}
return CvTS::OK;
}
};
CV_GpuMorphExTest CV_GpuMorphEx_test;