mirror of https://github.com/opencv/opencv.git
Added implementation and test for the GPU version of subtract, multiply, divide, transpose, absdiff, threshold, compare, meanStdDev, norm, based on NPP.
Vladislav Vinogradov
15 years ago
parent
88a7a8f567
commit
37d39bd9de
6 changed files with 704 additions and 192 deletions
@ -1,171 +0,0 @@ |
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
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//
|
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// By downloading, copying, installing or using the software you agree to this license.
|
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// If you do not agree to this license, do not download, install,
|
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// copy or use the software.
|
||||
//
|
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//
|
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// Intel License Agreement
|
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// For Open Source Computer Vision Library
|
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//
|
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
|
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// Third party copyrights are property of their respective owners.
|
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//
|
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// Redistribution and use in source and binary forms, with or without modification,
|
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// are permitted provided that the following conditions are met:
|
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//
|
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// * 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
|
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// and/or other materials provided with the distribution.
|
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//
|
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// * The name of Intel Corporation may not be used to endorse or promote products
|
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// derived from this software without specific prior written permission.
|
||||
//
|
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// This software is provided by the copyright holders and contributors "as is" and
|
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// 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;
|
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// loss of use, data, or profits; or business interruption) however caused
|
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// and on any theory of liability, whether in contract, strict liability,
|
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// or tort (including negligence or otherwise) arising in any way out of
|
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "gputest.hpp" |
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#include "opencv2/imgproc/imgproc.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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using namespace cv; |
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using namespace std; |
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using namespace gpu; |
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class CV_GpuNppImageAdditionTest : public CvTest |
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{ |
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public: |
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CV_GpuNppImageAdditionTest(); |
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~CV_GpuNppImageAdditionTest(); |
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protected: |
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void run(int); |
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int test8UC1(const Mat& imgL, const Mat& imgR); |
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int test8UC4(const Mat& imgL, const Mat& imgR); |
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int test32FC1(const Mat& imgL, const Mat& imgR); |
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int test(const Mat& imgL, const Mat& imgR); |
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int CheckNorm(const Mat& m1, const Mat& m2); |
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}; |
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CV_GpuNppImageAdditionTest::CV_GpuNppImageAdditionTest(): CvTest( "GPU-NppImageAddition", "add" ) |
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{ |
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} |
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CV_GpuNppImageAdditionTest::~CV_GpuNppImageAdditionTest() {} |
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int CV_GpuNppImageAdditionTest::test8UC1(const Mat& imgL, const Mat& imgR) |
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{ |
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cv::Mat imgL_C1; |
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cv::Mat imgR_C1; |
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cvtColor(imgL, imgL_C1, CV_BGR2GRAY); |
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cvtColor(imgR, imgR_C1, CV_BGR2GRAY); |
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return test(imgL_C1, imgR_C1); |
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} |
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int CV_GpuNppImageAdditionTest::test8UC4(const Mat& imgL, const Mat& imgR) |
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{ |
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cv::Mat imgL_C4; |
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cv::Mat imgR_C4; |
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cvtColor(imgL, imgL_C4, CV_BGR2BGRA); |
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cvtColor(imgR, imgR_C4, CV_BGR2BGRA); |
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return test(imgL_C4, imgR_C4); |
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} |
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int CV_GpuNppImageAdditionTest::test32FC1( const Mat& imgL, const Mat& imgR ) |
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{ |
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cv::Mat imgL_C1; |
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cv::Mat imgR_C1; |
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cvtColor(imgL, imgL_C1, CV_BGR2GRAY); |
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cvtColor(imgR, imgR_C1, CV_BGR2GRAY); |
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imgL_C1.convertTo(imgL_C1, CV_32F); |
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imgR_C1.convertTo(imgR_C1, CV_32F); |
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return test(imgL_C1, imgR_C1); |
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} |
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int CV_GpuNppImageAdditionTest::test( const Mat& imgL, const Mat& imgR ) |
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{ |
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cv::Mat cpuAdd; |
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cv::add(imgL, imgR, cpuAdd); |
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GpuMat gpuL(imgL); |
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GpuMat gpuR(imgR); |
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GpuMat gpuAdd; |
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cv::gpu::add(gpuL, gpuR, gpuAdd); |
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return CheckNorm(cpuAdd, gpuAdd); |
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} |
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int CV_GpuNppImageAdditionTest::CheckNorm(const Mat& m1, const Mat& m2) |
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{ |
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double ret = norm(m1, m2); |
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if (ret < 1.0) |
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{ |
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return CvTS::OK; |
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} |
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else |
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{ |
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ts->printf(CvTS::LOG, "\nNorm: %f\n", ret); |
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return CvTS::FAIL_GENERIC; |
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} |
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} |
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void CV_GpuNppImageAdditionTest::run( int ) |
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{ |
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//load images
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cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-L.png"); |
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cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-R.png"); |
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if (img_l.empty() || img_r.empty()) |
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{ |
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ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA); |
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return; |
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} |
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//run tests
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int testResult = test8UC1(img_l, img_r); |
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if (testResult != CvTS::OK) |
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{ |
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ts->set_failed_test_info(testResult); |
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return; |
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} |
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testResult = test8UC4(img_l, img_r); |
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if (testResult != CvTS::OK) |
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{ |
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ts->set_failed_test_info(testResult); |
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return; |
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} |
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testResult = test32FC1(img_l, img_r); |
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if (testResult != CvTS::OK) |
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{ |
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ts->set_failed_test_info(testResult); |
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return; |
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} |
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ts->set_failed_test_info(CvTS::OK); |
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} |
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CV_GpuNppImageAdditionTest CV_GpuNppImageAddition_test; |
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@ -0,0 +1,479 @@ |
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
|
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// 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
|
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// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
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//M*/
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#include <iostream> |
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#include "gputest.hpp" |
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#include "opencv2/imgproc/imgproc.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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using namespace cv; |
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using namespace std; |
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using namespace gpu; |
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class CV_GpuNppImageArithmTest : public CvTest |
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{ |
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public: |
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CV_GpuNppImageArithmTest(const char* test_name, const char* test_funcs); |
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virtual ~CV_GpuNppImageArithmTest(); |
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protected: |
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void run(int); |
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int test8UC1(const Mat& cpu1, const Mat& cpu2); |
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int test8UC4(const Mat& cpu1, const Mat& cpu2); |
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int test32FC1(const Mat& cpu1, const Mat& cpu2); |
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virtual int test(const Mat& cpu1, const Mat& cpu2) = 0; |
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int CheckNorm(const Mat& m1, const Mat& m2); |
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}; |
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CV_GpuNppImageArithmTest::CV_GpuNppImageArithmTest(const char* test_name, const char* test_funcs): CvTest(test_name, test_funcs) |
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{ |
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} |
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CV_GpuNppImageArithmTest::~CV_GpuNppImageArithmTest() {} |
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int CV_GpuNppImageArithmTest::test8UC1(const Mat& cpu1, const Mat& cpu2) |
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{ |
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cv::Mat imgL_C1; |
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cv::Mat imgR_C1; |
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cvtColor(cpu1, imgL_C1, CV_BGR2GRAY); |
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cvtColor(cpu2, imgR_C1, CV_BGR2GRAY); |
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return test(imgL_C1, imgR_C1); |
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} |
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int CV_GpuNppImageArithmTest::test8UC4(const Mat& cpu1, const Mat& cpu2) |
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{ |
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cv::Mat imgL_C4; |
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cv::Mat imgR_C4; |
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cvtColor(cpu1, imgL_C4, CV_BGR2BGRA); |
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cvtColor(cpu2, imgR_C4, CV_BGR2BGRA); |
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return test(imgL_C4, imgR_C4); |
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} |
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int CV_GpuNppImageArithmTest::test32FC1( const Mat& cpu1, const Mat& cpu2 ) |
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{ |
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cv::Mat imgL_C1; |
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cv::Mat imgR_C1; |
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cvtColor(cpu1, imgL_C1, CV_BGR2GRAY); |
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cvtColor(cpu2, imgR_C1, CV_BGR2GRAY); |
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imgL_C1.convertTo(imgL_C1, CV_32F); |
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imgR_C1.convertTo(imgR_C1, CV_32F); |
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return test(imgL_C1, imgR_C1); |
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} |
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int CV_GpuNppImageArithmTest::CheckNorm(const Mat& m1, const Mat& m2) |
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{ |
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double ret = norm(m1, m2); |
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if (ret < 1.0) |
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{ |
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return CvTS::OK; |
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} |
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else |
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{ |
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ts->printf(CvTS::LOG, "\nNorm: %f\n", ret); |
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return CvTS::FAIL_GENERIC; |
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} |
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} |
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void CV_GpuNppImageArithmTest::run( int ) |
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{ |
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//load images
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cv::Mat img_l = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-L.png"); |
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cv::Mat img_r = cv::imread(std::string(ts->get_data_path()) + "stereobm/aloe-R.png"); |
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if (img_l.empty() || img_r.empty()) |
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{ |
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ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA); |
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return; |
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} |
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//run tests
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int testResult = test8UC1(img_l, img_r); |
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if (testResult != CvTS::OK) |
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{ |
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ts->set_failed_test_info(testResult); |
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return; |
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} |
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testResult = test8UC4(img_l, img_r); |
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if (testResult != CvTS::OK) |
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{ |
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ts->set_failed_test_info(testResult); |
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return; |
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} |
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testResult = test32FC1(img_l, img_r); |
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if (testResult != CvTS::OK) |
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{ |
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ts->set_failed_test_info(testResult); |
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return; |
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} |
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ts->set_failed_test_info(CvTS::OK); |
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} |
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////////////////////////////////////////////////////////////////////////////////
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// Add
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class CV_GpuNppImageAddTest : public CV_GpuNppImageArithmTest |
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{ |
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public: |
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CV_GpuNppImageAddTest(); |
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protected: |
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virtual int test(const Mat& cpu1, const Mat& cpu2); |
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}; |
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CV_GpuNppImageAddTest::CV_GpuNppImageAddTest(): CV_GpuNppImageArithmTest( "GPU-NppImageAdd", "add" ) |
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{ |
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} |
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int CV_GpuNppImageAddTest::test( const Mat& cpu1, const Mat& cpu2 ) |
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{ |
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cv::Mat cpuRes; |
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cv::add(cpu1, cpu2, cpuRes); |
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GpuMat gpu1(cpu1); |
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GpuMat gpu2(cpu2); |
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GpuMat gpuRes; |
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cv::gpu::add(gpu1, gpu2, gpuRes); |
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return CheckNorm(cpuRes, gpuRes); |
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} |
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CV_GpuNppImageAddTest CV_GpuNppImageAdd_test; |
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////////////////////////////////////////////////////////////////////////////////
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// Sub
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class CV_GpuNppImageSubtractTest : public CV_GpuNppImageArithmTest |
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{ |
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public: |
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CV_GpuNppImageSubtractTest(); |
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protected: |
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virtual int test(const Mat& cpu1, const Mat& cpu2); |
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}; |
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CV_GpuNppImageSubtractTest::CV_GpuNppImageSubtractTest(): CV_GpuNppImageArithmTest( "GPU-NppImageSubtract", "subtract" ) |
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{ |
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} |
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int CV_GpuNppImageSubtractTest::test( const Mat& cpu1, const Mat& cpu2 ) |
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{ |
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cv::Mat cpuRes; |
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cv::subtract(cpu1, cpu2, cpuRes); |
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GpuMat gpu1(cpu1); |
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GpuMat gpu2(cpu2); |
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GpuMat gpuRes; |
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cv::gpu::subtract(gpu1, gpu2, gpuRes);
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return CheckNorm(cpuRes, gpuRes); |
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} |
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CV_GpuNppImageSubtractTest CV_GpuNppImageSubtract_test; |
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////////////////////////////////////////////////////////////////////////////////
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// multiply
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class CV_GpuNppImageMultiplyTest : public CV_GpuNppImageArithmTest |
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{ |
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public: |
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CV_GpuNppImageMultiplyTest(); |
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protected: |
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virtual int test(const Mat& cpu1, const Mat& cpu2); |
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}; |
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CV_GpuNppImageMultiplyTest::CV_GpuNppImageMultiplyTest(): CV_GpuNppImageArithmTest( "GPU-NppImageMultiply", "multiply" ) |
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{ |
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} |
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int CV_GpuNppImageMultiplyTest::test( const Mat& cpu1, const Mat& cpu2 ) |
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{ |
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cv::Mat cpuRes; |
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cv::multiply(cpu1, cpu2, cpuRes); |
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GpuMat gpu1(cpu1); |
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GpuMat gpu2(cpu2); |
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GpuMat gpuRes; |
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cv::gpu::multiply(gpu1, gpu2, gpuRes); |
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return CheckNorm(cpuRes, gpuRes); |
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} |
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CV_GpuNppImageMultiplyTest CV_GpuNppImageMultiply_test; |
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////////////////////////////////////////////////////////////////////////////////
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// divide
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class CV_GpuNppImageDivideTest : public CV_GpuNppImageArithmTest |
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{ |
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public: |
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CV_GpuNppImageDivideTest(); |
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protected: |
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virtual int test(const Mat& cpu1, const Mat& cpu2); |
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}; |
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CV_GpuNppImageDivideTest::CV_GpuNppImageDivideTest(): CV_GpuNppImageArithmTest( "GPU-NppImageDivide", "divide" ) |
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{ |
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} |
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int CV_GpuNppImageDivideTest::test( const Mat& cpu1, const Mat& cpu2 ) |
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{ |
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cv::Mat cpuRes; |
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cv::divide(cpu1, cpu2, cpuRes); |
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GpuMat gpu1(cpu1); |
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GpuMat gpu2(cpu2); |
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GpuMat gpuRes; |
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cv::gpu::divide(gpu1, gpu2, gpuRes); |
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return CheckNorm(cpuRes, gpuRes); |
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} |
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CV_GpuNppImageDivideTest CV_GpuNppImageDivide_test; |
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////////////////////////////////////////////////////////////////////////////////
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// transpose
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class CV_GpuNppImageTransposeTest : public CV_GpuNppImageArithmTest |
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{ |
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public: |
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CV_GpuNppImageTransposeTest(); |
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protected: |
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virtual int test(const Mat& cpu1, const Mat& cpu2); |
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}; |
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CV_GpuNppImageTransposeTest::CV_GpuNppImageTransposeTest(): CV_GpuNppImageArithmTest( "GPU-NppImageTranspose", "transpose" ) |
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{ |
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} |
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int CV_GpuNppImageTransposeTest::test( const Mat& cpu1, const Mat& ) |
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{ |
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if (!((cpu1.depth() == CV_8U) && cpu1.channels() == 1)) |
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return CvTS::OK; |
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cv::Mat cpuRes; |
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cv::transpose(cpu1, cpuRes); |
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GpuMat gpu1(cpu1); |
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GpuMat gpuRes; |
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cv::gpu::transpose(gpu1, gpuRes); |
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return CheckNorm(cpuRes, gpuRes); |
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} |
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CV_GpuNppImageTransposeTest CV_GpuNppImageTranspose_test; |
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////////////////////////////////////////////////////////////////////////////////
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// absdiff
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class CV_GpuNppImageAbsdiffTest : public CV_GpuNppImageArithmTest |
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{ |
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public: |
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CV_GpuNppImageAbsdiffTest(); |
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protected: |
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virtual int test(const Mat& cpu1, const Mat& cpu2); |
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}; |
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CV_GpuNppImageAbsdiffTest::CV_GpuNppImageAbsdiffTest(): CV_GpuNppImageArithmTest( "GPU-NppImageAbsdiff", "absdiff" ) |
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{ |
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} |
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int CV_GpuNppImageAbsdiffTest::test( const Mat& cpu1, const Mat& cpu2 ) |
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{ |
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if (!((cpu1.depth() == CV_8U || cpu1.depth() == CV_32F) && cpu1.channels() == 1)) |
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return CvTS::OK; |
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cv::Mat cpuRes; |
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cv::absdiff(cpu1, cpu2, cpuRes); |
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GpuMat gpu1(cpu1); |
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GpuMat gpu2(cpu2); |
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GpuMat gpuRes; |
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cv::gpu::absdiff(gpu1, gpu2, gpuRes); |
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|
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return CheckNorm(cpuRes, gpuRes); |
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} |
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|
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CV_GpuNppImageAbsdiffTest CV_GpuNppImageAbsdiff_test; |
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|
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////////////////////////////////////////////////////////////////////////////////
|
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// threshold
|
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class CV_GpuNppImageThresholdTest : public CV_GpuNppImageArithmTest |
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{ |
||||
public: |
||||
CV_GpuNppImageThresholdTest(); |
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|
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protected: |
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virtual int test(const Mat& cpu1, const Mat& cpu2); |
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}; |
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|
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CV_GpuNppImageThresholdTest::CV_GpuNppImageThresholdTest(): CV_GpuNppImageArithmTest( "GPU-NppImageThreshold", "threshold" ) |
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{ |
||||
} |
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|
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int CV_GpuNppImageThresholdTest::test( const Mat& cpu1, const Mat& ) |
||||
{ |
||||
if (!((cpu1.depth() == CV_32F) && cpu1.channels() == 1)) |
||||
return CvTS::OK; |
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|
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const double thresh = 0.5; |
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const double maxval = 0.0; |
||||
|
||||
cv::Mat cpuRes; |
||||
cv::threshold(cpu1, cpuRes, thresh, maxval, THRESH_TRUNC); |
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|
||||
GpuMat gpu1(cpu1); |
||||
GpuMat gpuRes; |
||||
cv::gpu::threshold(gpu1, gpuRes, thresh, maxval, THRESH_TRUNC); |
||||
|
||||
return CheckNorm(cpuRes, gpuRes); |
||||
} |
||||
|
||||
CV_GpuNppImageThresholdTest CV_GpuNppImageThreshold_test; |
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// compare
|
||||
class CV_GpuNppImageCompareTest : public CV_GpuNppImageArithmTest |
||||
{ |
||||
public: |
||||
CV_GpuNppImageCompareTest(); |
||||
|
||||
protected: |
||||
virtual int test(const Mat& cpu1, const Mat& cpu2); |
||||
}; |
||||
|
||||
CV_GpuNppImageCompareTest::CV_GpuNppImageCompareTest(): CV_GpuNppImageArithmTest( "GPU-NppImageCompare", "compare" ) |
||||
{ |
||||
} |
||||
|
||||
int CV_GpuNppImageCompareTest::test( const Mat& cpu1, const Mat& cpu2 ) |
||||
{ |
||||
if (cpu1.type() != CV_32FC1) |
||||
return CvTS::OK; |
||||
|
||||
cv::Mat cpuRes; |
||||
cv::compare(cpu1, cpu2, cpuRes, CMP_GT); |
||||
|
||||
GpuMat gpu1(cpu1); |
||||
GpuMat gpu2(cpu2); |
||||
GpuMat gpuRes; |
||||
cv::gpu::compare(gpu1, gpu2, gpuRes, CMP_GT); |
||||
|
||||
return CheckNorm(cpuRes, gpuRes); |
||||
} |
||||
|
||||
CV_GpuNppImageCompareTest CV_GpuNppImageCompare_test; |
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// meanStdDev
|
||||
class CV_GpuNppImageMeanStdDevTest : public CV_GpuNppImageArithmTest |
||||
{ |
||||
public: |
||||
CV_GpuNppImageMeanStdDevTest(); |
||||
|
||||
protected: |
||||
virtual int test(const Mat& cpu1, const Mat& cpu2); |
||||
}; |
||||
|
||||
CV_GpuNppImageMeanStdDevTest::CV_GpuNppImageMeanStdDevTest(): CV_GpuNppImageArithmTest( "GPU-NppImageMeanStdDev", "meanStdDev" ) |
||||
{ |
||||
} |
||||
|
||||
int CV_GpuNppImageMeanStdDevTest::test( const Mat& cpu1, const Mat& ) |
||||
{ |
||||
if (cpu1.type() != CV_8UC1) |
||||
return CvTS::OK; |
||||
|
||||
Scalar cpumean;
|
||||
Scalar cpustddev; |
||||
cv::meanStdDev(cpu1, cpumean, cpustddev); |
||||
|
||||
GpuMat gpu1(cpu1); |
||||
Scalar gpumean;
|
||||
Scalar gpustddev; |
||||
cv::gpu::meanStdDev(gpu1, gpumean, gpustddev); |
||||
|
||||
return (cpumean == gpumean && cpustddev == gpustddev) ? CvTS::OK : CvTS::FAIL_GENERIC; |
||||
} |
||||
|
||||
CV_GpuNppImageMeanStdDevTest CV_GpuNppImageMeanStdDev_test; |
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// norm
|
||||
class CV_GpuNppImageNormTest : public CV_GpuNppImageArithmTest |
||||
{ |
||||
public: |
||||
CV_GpuNppImageNormTest(); |
||||
|
||||
protected: |
||||
virtual int test(const Mat& cpu1, const Mat& cpu2); |
||||
}; |
||||
|
||||
CV_GpuNppImageNormTest::CV_GpuNppImageNormTest(): CV_GpuNppImageArithmTest( "GPU-NppImageNorm", "norm" ) |
||||
{ |
||||
} |
||||
|
||||
int CV_GpuNppImageNormTest::test( const Mat& cpu1, const Mat& cpu2 ) |
||||
{ |
||||
if (cpu1.type() != CV_8UC1) |
||||
return CvTS::OK; |
||||
|
||||
double cpu_norm_inf = cv::norm(cpu1, cpu2, NORM_INF); |
||||
double cpu_norm_L1 = cv::norm(cpu1, cpu2, NORM_L1); |
||||
double cpu_norm_L2 = cv::norm(cpu1, cpu2, NORM_L2); |
||||
|
||||
GpuMat gpu1(cpu1); |
||||
GpuMat gpu2(cpu2); |
||||
double gpu_norm_inf = cv::gpu::norm(gpu1, gpu2, NORM_INF); |
||||
double gpu_norm_L1 = cv::gpu::norm(gpu1, gpu2, NORM_L1); |
||||
double gpu_norm_L2 = cv::gpu::norm(gpu1, gpu2, NORM_L2); |
||||
|
||||
return (cpu_norm_inf == gpu_norm_inf && cpu_norm_L1 == gpu_norm_L1 && cpu_norm_L2 == gpu_norm_L2) ? CvTS::OK : CvTS::FAIL_GENERIC; |
||||
} |
||||
|
||||
CV_GpuNppImageNormTest CV_GpuNppImageNorm_test; |
||||
Loading…
Reference in new issue