added Filter Engine to gpu module.
disabled gpu::sum, gpu::minMax, gpu:Canny until fix crash.
This commit is contained in:
Vladislav Vinogradov
383
tests/gpu/src/filters.cpp
Normal file
383
tests/gpu/src/filters.cpp
Normal file
@@ -0,0 +1,383 @@
|
||||
/*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_GpuNppFilterTest : public CvTest
|
||||
{
|
||||
public:
|
||||
CV_GpuNppFilterTest(const char* test_name, const char* test_funcs) : CvTest(test_name, test_funcs) {}
|
||||
virtual ~CV_GpuNppFilterTest() {}
|
||||
|
||||
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, const Size& ksize)
|
||||
{
|
||||
Rect roi = Rect(ksize.width, ksize.height, m1.cols - 2 * ksize.width, m1.rows - 2 * ksize.height);
|
||||
Mat m1ROI = m1(roi);
|
||||
Mat m2ROI = m2(roi);
|
||||
|
||||
double res = norm(m1ROI, m2ROI, NORM_INF);
|
||||
|
||||
if (res <= 1)
|
||||
return CvTS::OK;
|
||||
|
||||
ts->printf(CvTS::LOG, "\nNorm: %f\n", res);
|
||||
return CvTS::FAIL_GENERIC;
|
||||
}
|
||||
};
|
||||
|
||||
void CV_GpuNppFilterTest::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 = CvTS::OK;
|
||||
|
||||
if (test8UC1(img) != CvTS::OK)
|
||||
testResult = CvTS::FAIL_GENERIC;
|
||||
|
||||
if (test8UC4(img) != CvTS::OK)
|
||||
testResult = CvTS::FAIL_GENERIC;
|
||||
|
||||
ts->set_failed_test_info(testResult);
|
||||
}
|
||||
catch(const cv::Exception& e)
|
||||
{
|
||||
if (!check_and_treat_gpu_exception(e, ts))
|
||||
throw;
|
||||
return;
|
||||
}
|
||||
|
||||
ts->set_failed_test_info(CvTS::OK);
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// blur
|
||||
struct CV_GpuNppImageBlurTest : public CV_GpuNppFilterTest
|
||||
{
|
||||
CV_GpuNppImageBlurTest() : CV_GpuNppFilterTest( "GPU-NppImageBlur", "blur" ) {}
|
||||
|
||||
int test(const Mat& img)
|
||||
{
|
||||
int ksizes[] = {3, 5, 7};
|
||||
int ksizes_num = sizeof(ksizes) / sizeof(int);
|
||||
|
||||
int test_res = CvTS::OK;
|
||||
|
||||
for (int i = 0; i < ksizes_num; ++i)
|
||||
{
|
||||
for (int j = 0; j < ksizes_num; ++j)
|
||||
{
|
||||
Size ksize(ksizes[i], ksizes[j]);
|
||||
|
||||
ts->printf(CvTS::LOG, "\nksize = (%dx%d)\n", ksizes[i], ksizes[j]);
|
||||
|
||||
Mat cpudst;
|
||||
cv::blur(img, cpudst, ksize);
|
||||
|
||||
GpuMat gpu1(img);
|
||||
GpuMat gpudst;
|
||||
cv::gpu::blur(gpu1, gpudst, ksize);
|
||||
|
||||
if (CheckNorm(cpudst, gpudst, ksize) != CvTS::OK)
|
||||
test_res = CvTS::FAIL_GENERIC;
|
||||
}
|
||||
}
|
||||
|
||||
return test_res;
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Sobel
|
||||
struct CV_GpuNppImageSobelTest : public CV_GpuNppFilterTest
|
||||
{
|
||||
CV_GpuNppImageSobelTest() : CV_GpuNppFilterTest( "GPU-NppImageSobel", "Sobel" ) {}
|
||||
|
||||
int test(const Mat& img)
|
||||
{
|
||||
int ksizes[] = {3, 5, 7};
|
||||
int ksizes_num = sizeof(ksizes) / sizeof(int);
|
||||
|
||||
int dx = 1, dy = 0;
|
||||
|
||||
int test_res = CvTS::OK;
|
||||
|
||||
for (int i = 0; i < ksizes_num; ++i)
|
||||
{
|
||||
ts->printf(CvTS::LOG, "\nksize = %d\n", ksizes[i]);
|
||||
|
||||
Mat cpudst;
|
||||
cv::Sobel(img, cpudst, -1, dx, dy, ksizes[i]);
|
||||
|
||||
GpuMat gpu1(img);
|
||||
GpuMat gpudst;
|
||||
cv::gpu::Sobel(gpu1, gpudst, -1, dx, dy, ksizes[i]);
|
||||
|
||||
if (CheckNorm(cpudst, gpudst, Size(ksizes[i], ksizes[i])) != CvTS::OK)
|
||||
test_res = CvTS::FAIL_GENERIC;
|
||||
}
|
||||
|
||||
return test_res;
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Scharr
|
||||
struct CV_GpuNppImageScharrTest : public CV_GpuNppFilterTest
|
||||
{
|
||||
CV_GpuNppImageScharrTest() : CV_GpuNppFilterTest( "GPU-NppImageScharr", "Scharr" ) {}
|
||||
|
||||
int test(const Mat& img)
|
||||
{
|
||||
int dx = 1, dy = 0;
|
||||
|
||||
Mat cpudst;
|
||||
cv::Scharr(img, cpudst, -1, dx, dy);
|
||||
|
||||
GpuMat gpu1(img);
|
||||
GpuMat gpudst;
|
||||
cv::gpu::Scharr(gpu1, gpudst, -1, dx, dy);
|
||||
|
||||
return CheckNorm(cpudst, gpudst, Size(3, 3));
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// GaussianBlur
|
||||
struct CV_GpuNppImageGaussianBlurTest : public CV_GpuNppFilterTest
|
||||
{
|
||||
CV_GpuNppImageGaussianBlurTest() : CV_GpuNppFilterTest( "GPU-NppImageGaussianBlur", "GaussianBlur" ) {}
|
||||
|
||||
int test(const Mat& img)
|
||||
{
|
||||
int ksizes[] = {3, 5, 7};
|
||||
int ksizes_num = sizeof(ksizes) / sizeof(int);
|
||||
|
||||
int test_res = CvTS::OK;
|
||||
|
||||
const double sigma1 = 3.0;
|
||||
|
||||
for (int i = 0; i < ksizes_num; ++i)
|
||||
{
|
||||
for (int j = 0; j < ksizes_num; ++j)
|
||||
{
|
||||
cv::Size ksize(ksizes[i], ksizes[j]);
|
||||
|
||||
ts->printf(CvTS::LOG, "\nksize = (%dx%d)\n", ksizes[i], ksizes[j]);
|
||||
|
||||
Mat cpudst;
|
||||
cv::GaussianBlur(img, cpudst, ksize, sigma1);
|
||||
|
||||
GpuMat gpu1(img);
|
||||
GpuMat gpudst;
|
||||
cv::gpu::GaussianBlur(gpu1, gpudst, ksize, sigma1);
|
||||
|
||||
if (CheckNorm(cpudst, gpudst, ksize) != CvTS::OK)
|
||||
test_res = CvTS::FAIL_GENERIC;
|
||||
}
|
||||
}
|
||||
|
||||
return test_res;
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Laplacian
|
||||
struct CV_GpuNppImageLaplacianTest : public CV_GpuNppFilterTest
|
||||
{
|
||||
CV_GpuNppImageLaplacianTest() : CV_GpuNppFilterTest( "GPU-NppImageLaplacian", "Laplacian" ) {}
|
||||
|
||||
int test(const Mat& img)
|
||||
{
|
||||
int ksizes[] = {1, 3};
|
||||
int ksizes_num = sizeof(ksizes) / sizeof(int);
|
||||
|
||||
int test_res = CvTS::OK;
|
||||
|
||||
for (int i = 0; i < ksizes_num; ++i)
|
||||
{
|
||||
ts->printf(CvTS::LOG, "\nksize = %d\n", ksizes[i]);
|
||||
|
||||
Mat cpudst;
|
||||
cv::Laplacian(img, cpudst, -1, ksizes[i]);
|
||||
|
||||
GpuMat gpu1(img);
|
||||
GpuMat gpudst;
|
||||
cv::gpu::Laplacian(gpu1, gpudst, -1, ksizes[i]);
|
||||
|
||||
if (CheckNorm(cpudst, gpudst, Size(3, 3)) != CvTS::OK)
|
||||
test_res = CvTS::FAIL_GENERIC;
|
||||
}
|
||||
|
||||
return test_res;
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Erode
|
||||
class CV_GpuErodeTest : public CV_GpuNppFilterTest
|
||||
{
|
||||
public:
|
||||
CV_GpuErodeTest() : CV_GpuNppFilterTest( "GPU-NppErode", "erode" ) {}
|
||||
|
||||
protected:
|
||||
virtual int test(const Mat& img)
|
||||
{
|
||||
Mat kernel(Mat::ones(3, 3, CV_8U));
|
||||
|
||||
cv::Mat cpuRes;
|
||||
cv::erode(img, cpuRes, kernel);
|
||||
|
||||
GpuMat gpuRes;
|
||||
cv::gpu::erode(GpuMat(img), gpuRes, kernel);
|
||||
|
||||
return CheckNorm(cpuRes, gpuRes, Size(3, 3));
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Dilate
|
||||
class CV_GpuDilateTest : public CV_GpuNppFilterTest
|
||||
{
|
||||
public:
|
||||
CV_GpuDilateTest() : CV_GpuNppFilterTest( "GPU-NppDilate", "dilate" ) {}
|
||||
|
||||
protected:
|
||||
virtual int test(const Mat& img)
|
||||
{
|
||||
Mat kernel(Mat::ones(3, 3, CV_8U));
|
||||
|
||||
cv::Mat cpuRes;
|
||||
cv::dilate(img, cpuRes, kernel);
|
||||
|
||||
GpuMat gpuRes;
|
||||
cv::gpu::dilate(GpuMat(img), gpuRes, kernel);
|
||||
|
||||
return CheckNorm(cpuRes, gpuRes, Size(3, 3));
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// MorphologyEx
|
||||
class CV_GpuMorphExTest : public CV_GpuNppFilterTest
|
||||
{
|
||||
public:
|
||||
CV_GpuMorphExTest() : CV_GpuNppFilterTest( "GPU-NppMorphologyEx", "morphologyEx" ) {}
|
||||
|
||||
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]);
|
||||
|
||||
GpuMat kernel(Mat::ones(3, 3, CV_8U));
|
||||
|
||||
int res = CvTS::OK;
|
||||
|
||||
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);
|
||||
|
||||
GpuMat gpuRes;
|
||||
cv::gpu::morphologyEx(GpuMat(img), gpuRes, ops[i], kernel);
|
||||
|
||||
if (CvTS::OK != CheckNorm(cpuRes, gpuRes, Size(3, 3)))
|
||||
res = CvTS::FAIL_GENERIC;
|
||||
}
|
||||
return res;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////
|
||||
/////////////////// tests registration /////////////////////////////////////
|
||||
/////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
CV_GpuNppImageBlurTest CV_GpuNppImageBlur_test;
|
||||
CV_GpuNppImageSobelTest CV_GpuNppImageSobel_test;
|
||||
CV_GpuNppImageScharrTest CV_GpuNppImageScharr_test;
|
||||
CV_GpuNppImageGaussianBlurTest CV_GpuNppImageGaussianBlur_test;
|
||||
CV_GpuNppImageLaplacianTest CV_GpuNppImageLaplacian_test;
|
||||
CV_GpuErodeTest CV_GpuErode_test;
|
||||
CV_GpuDilateTest CV_GpuDilate_test;
|
||||
CV_GpuMorphExTest CV_GpuMorphEx_test;
|
||||
@@ -45,25 +45,27 @@ CvTS test_system;
|
||||
|
||||
const char* blacklist[] =
|
||||
{
|
||||
"GPU-NppImageSum", // crash
|
||||
"GPU-MatOperatorAsyncCall", // crash
|
||||
//"GPU-NppErode", // different border interpolation
|
||||
//"GPU-NppMorphologyEx", // different border interpolation
|
||||
|
||||
"GPU-NppImageSum", // crash, probably npp bug
|
||||
"GPU-NppImageMinNax", // npp bug - don't find min/max near right border
|
||||
//"GPU-NppImageDivide", // different round mode
|
||||
//"GPU-NppImageMeanStdDev", // different precision
|
||||
//"GPU-NppImageMinNax", // npp bug - don't find min/max near right border
|
||||
//"GPU-NppImageResize", // different precision in interpolation
|
||||
//"GPU-NppImageWarpAffine", // different precision in interpolation
|
||||
//"GPU-NppImageWarpPerspective", // different precision in interpolation
|
||||
//"GPU-NppImageIntegral", // different precision
|
||||
//"GPU-NppImageBlur", // different precision
|
||||
//"GPU-NppImageExp", // different precision
|
||||
//"GPU-NppImageLog", // different precision
|
||||
//"GPU-NppImageMagnitude", // different precision
|
||||
//"GPU-NppImageSumWindow", // different border interpolation
|
||||
//"GPU-NppImageSobel", // ???
|
||||
//"GPU-NppImageGaussianBlur", // different border interpolation
|
||||
|
||||
"GPU-NppImageCanny", // NPP_TEXTURE_BIND_ERROR
|
||||
//"GPU-NppImageResize", // different precision
|
||||
//"GPU-NppImageWarpAffine", // different precision
|
||||
//"GPU-NppImageWarpPerspective", // different precision
|
||||
//"GPU-NppImageIntegral", // different precision
|
||||
|
||||
//"GPU-NppImageSobel", // ???
|
||||
//"GPU-NppImageScharr", // ???
|
||||
|
||||
//"GPU-NppImageGaussianBlur", // different precision
|
||||
//"GPU-NppMorphologyEx", // different precision?
|
||||
0
|
||||
};
|
||||
|
||||
|
||||
@@ -413,167 +413,6 @@ struct CV_GpuNppImageIntegralTest : public CV_GpuImageProcTest
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// blur
|
||||
struct CV_GpuNppImageBlurTest : public CV_GpuImageProcTest
|
||||
{
|
||||
CV_GpuNppImageBlurTest() : CV_GpuImageProcTest( "GPU-NppImageBlur", "blur" ) {}
|
||||
|
||||
int test(const Mat& img)
|
||||
{
|
||||
if (img.type() != CV_8UC1 && img.type() != CV_8UC4)
|
||||
{
|
||||
ts->printf(CvTS::LOG, "\nUnsupported type\n");
|
||||
return CvTS::OK;
|
||||
}
|
||||
|
||||
int ksizes[] = {3, 5, 7};
|
||||
int ksizes_num = sizeof(ksizes) / sizeof(int);
|
||||
|
||||
int test_res = CvTS::OK;
|
||||
|
||||
for (int i = 0; i < ksizes_num; ++i)
|
||||
{
|
||||
ts->printf(CvTS::LOG, "\nksize = %d\n", ksizes[i]);
|
||||
|
||||
Mat cpudst;
|
||||
cv::blur(img, cpudst, Size(ksizes[i], ksizes[i]));
|
||||
|
||||
GpuMat gpu1(img);
|
||||
GpuMat gpudst;
|
||||
cv::gpu::blur(gpu1, gpudst, Size(ksizes[i], ksizes[i]));
|
||||
|
||||
if (CheckNorm(cpudst, gpudst) != CvTS::OK)
|
||||
test_res = CvTS::FAIL_GENERIC;
|
||||
}
|
||||
|
||||
return test_res;
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// sumWindow
|
||||
struct CV_GpuNppImageSumWindowTest : public CV_GpuImageProcTest
|
||||
{
|
||||
CV_GpuNppImageSumWindowTest() : CV_GpuImageProcTest( "GPU-NppImageSumWindow", "sumWindow" ) {}
|
||||
|
||||
int test(const Mat& img)
|
||||
{
|
||||
if (img.type() != CV_8UC1)
|
||||
{
|
||||
ts->printf(CvTS::LOG, "\nUnsupported type\n");
|
||||
return CvTS::OK;
|
||||
}
|
||||
|
||||
int ksizes[] = {3, 5, 7};
|
||||
int ksizes_num = sizeof(ksizes) / sizeof(int);
|
||||
|
||||
int test_res = CvTS::OK;
|
||||
|
||||
for (int i = 0; i < ksizes_num; ++i)
|
||||
{
|
||||
ts->printf(CvTS::LOG, "\nksize = %d\n", ksizes[i]);
|
||||
|
||||
Mat cpudst(img.size(), CV_64FC1, Scalar());
|
||||
cv::Ptr<cv::BaseRowFilter> ft = cv::getRowSumFilter(CV_8UC1, CV_64FC1, ksizes[i], 0);
|
||||
for (int y = 0; y < img.rows; ++y)
|
||||
(*ft)(img.ptr(y), cpudst.ptr(y), img.cols, 1);
|
||||
cpudst.convertTo(cpudst, CV_32F);
|
||||
|
||||
GpuMat gpu1(img);
|
||||
GpuMat gpudst;
|
||||
cv::gpu::sumWindowRow(gpu1, gpudst, ksizes[i], 0);
|
||||
|
||||
if (CheckNorm(cpudst, gpudst) != CvTS::OK)
|
||||
test_res = CvTS::FAIL_GENERIC;
|
||||
}
|
||||
|
||||
return test_res;
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Sobel
|
||||
struct CV_GpuNppImageSobelTest : public CV_GpuImageProcTest
|
||||
{
|
||||
CV_GpuNppImageSobelTest() : CV_GpuImageProcTest( "GPU-NppImageSobel", "Sobel" ) {}
|
||||
|
||||
int test(const Mat& img)
|
||||
{
|
||||
if (img.type() != CV_8UC1 && img.type() != CV_8UC4)
|
||||
{
|
||||
ts->printf(CvTS::LOG, "\nUnsupported type\n");
|
||||
return CvTS::OK;
|
||||
}
|
||||
|
||||
int ksizes[] = {3, 5, 7};
|
||||
int ksizes_num = sizeof(ksizes) / sizeof(int);
|
||||
|
||||
int dx = 1, dy = 0;
|
||||
|
||||
int test_res = CvTS::OK;
|
||||
|
||||
for (int i = 0; i < ksizes_num; ++i)
|
||||
{
|
||||
ts->printf(CvTS::LOG, "\nksize = %d\n", ksizes[i]);
|
||||
|
||||
Mat cpudst;
|
||||
cv::Sobel(img, cpudst, -1, dx, dy, ksizes[i]);
|
||||
|
||||
GpuMat gpu1(img);
|
||||
GpuMat gpudst;
|
||||
cv::gpu::Sobel(gpu1, gpudst, -1, dx, dy, ksizes[i]);
|
||||
|
||||
if (CheckNorm(cpudst, gpudst) != CvTS::OK)
|
||||
test_res = CvTS::FAIL_GENERIC;
|
||||
}
|
||||
|
||||
return test_res;
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// GaussianBlur
|
||||
struct CV_GpuNppImageGaussianBlurTest : public CV_GpuImageProcTest
|
||||
{
|
||||
CV_GpuNppImageGaussianBlurTest() : CV_GpuImageProcTest( "GPU-NppImageGaussianBlur", "GaussianBlur" ) {}
|
||||
|
||||
int test(const Mat& img)
|
||||
{
|
||||
if (img.type() != CV_8UC1 && img.type() != CV_8UC4)
|
||||
{
|
||||
ts->printf(CvTS::LOG, "\nUnsupported type\n");
|
||||
return CvTS::OK;
|
||||
}
|
||||
|
||||
int ksizes[] = {3, 5, 7};
|
||||
int ksizes_num = sizeof(ksizes) / sizeof(int);
|
||||
|
||||
int test_res = CvTS::OK;
|
||||
|
||||
const double sigma1 = 3.0;
|
||||
|
||||
for (int i = 0; i < ksizes_num; ++i)
|
||||
{
|
||||
for (int j = 0; j < ksizes_num; ++j)
|
||||
{
|
||||
ts->printf(CvTS::LOG, "\nksize = (%dx%d)\n", ksizes[i], ksizes[j]);
|
||||
|
||||
Mat cpudst;
|
||||
cv::GaussianBlur(img, cpudst, cv::Size(ksizes[i], ksizes[j]), sigma1);
|
||||
|
||||
GpuMat gpu1(img);
|
||||
GpuMat gpudst;
|
||||
cv::gpu::GaussianBlur(gpu1, gpudst, cv::Size(ksizes[i], ksizes[j]), sigma1);
|
||||
if (CheckNorm(cpudst, gpudst) != CvTS::OK)
|
||||
test_res = CvTS::FAIL_GENERIC;
|
||||
}
|
||||
}
|
||||
|
||||
return test_res;
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Canny
|
||||
struct CV_GpuNppImageCannyTest : public CV_GpuImageProcTest
|
||||
@@ -705,9 +544,5 @@ CV_GpuNppImageCopyMakeBorderTest CV_GpuNppImageCopyMakeBorder_test;
|
||||
CV_GpuNppImageWarpAffineTest CV_GpuNppImageWarpAffine_test;
|
||||
CV_GpuNppImageWarpPerspectiveTest CV_GpuNppImageWarpPerspective_test;
|
||||
CV_GpuNppImageIntegralTest CV_GpuNppImageIntegral_test;
|
||||
CV_GpuNppImageBlurTest CV_GpuNppImageBlur_test;
|
||||
CV_GpuNppImageSumWindowTest CV_GpuNppImageSumWindow_test;
|
||||
CV_GpuNppImageSobelTest CV_GpuNppImageSobel_test;
|
||||
CV_GpuNppImageGaussianBlurTest CV_GpuNppImageGaussianBlur_test;
|
||||
CV_GpuNppImageCannyTest CV_GpuNppImageCanny_test;
|
||||
CV_GpuCvtColorTest CV_GpuCvtColor_test;
|
||||
@@ -1,219 +0,0 @@
|
||||
/*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;
|
||||
return;
|
||||
}
|
||||
|
||||
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)
|
||||
{
|
||||
GpuMat kernel(Mat::ones(3, 3, CV_8U));
|
||||
Point anchor(0, 0);
|
||||
int iters = 1;
|
||||
|
||||
cv::Mat cpuRes, cpuRes1;
|
||||
cv::erode(img, cpuRes, kernel, anchor, iters);
|
||||
|
||||
GpuMat gpuRes;
|
||||
cv::gpu::erode(GpuMat(img), gpuRes, kernel, anchor, iters);
|
||||
|
||||
return CheckNorm(cpuRes, gpuRes);
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Dilate
|
||||
class CV_GpuDilateTest : public CV_GpuNppMorphogyTest
|
||||
{
|
||||
public:
|
||||
CV_GpuDilateTest() : CV_GpuNppMorphogyTest( "GPU-NppDilate", "dilate" ) {}
|
||||
|
||||
protected:
|
||||
virtual int test(const Mat& img)
|
||||
{
|
||||
GpuMat kernel(Mat::ones(3, 3, CV_8U));
|
||||
Point anchor(0, 0);
|
||||
int iters = 1;
|
||||
|
||||
cv::Mat cpuRes, cpuRes1;
|
||||
cv::dilate(img, cpuRes, kernel, anchor, iters);
|
||||
|
||||
GpuMat gpuRes, gpuRes1;
|
||||
cv::gpu::dilate(GpuMat(img), gpuRes, kernel, anchor, iters);
|
||||
|
||||
return CheckNorm(cpuRes, gpuRes);
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// 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]);
|
||||
|
||||
GpuMat kernel(Mat::ones(3, 3, CV_8U));
|
||||
Point anchor(0, 0);
|
||||
int iters = 1;
|
||||
|
||||
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;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////
|
||||
/////////////////// tests registration /////////////////////////////////////
|
||||
/////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
CV_GpuErodeTest CV_GpuErode_test;
|
||||
CV_GpuDilateTest CV_GpuDilate_test;
|
||||
CV_GpuMorphExTest CV_GpuMorphEx_test;
|
||||
Reference in New Issue
Block a user