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mirror of https://github.com/opencv/opencv.git synced 2026-07-31 08:13:04 +04:00

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

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
+24
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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
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@@ -0,0 +1,214 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
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// If you do not agree to this license, do not download, install,
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//
//
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// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
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#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;