disabled gpu::sum, gpu::minMax, gpu:Canny until fix crash.pull/13383/head
Vladislav Vinogradov
15 years ago
parent
7a3b0785d7
commit
66df8ef06c
8 changed files with 1127 additions and 620 deletions
@ -0,0 +1,383 @@ |
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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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//
|
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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,
|
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// this list of conditions and the following disclaimer.
|
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//
|
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// * Redistribution's in binary form must reproduce the above copyright notice,
|
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// 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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//
|
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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
|
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
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// In no event shall the Intel Corporation or contributors be liable for any direct,
|
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// 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 <iostream> |
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#include <cmath> |
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#include <limits> |
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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_GpuNppFilterTest : public CvTest |
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{ |
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public: |
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CV_GpuNppFilterTest(const char* test_name, const char* test_funcs) : CvTest(test_name, test_funcs) {} |
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virtual ~CV_GpuNppFilterTest() {} |
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protected: |
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void run(int); |
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virtual int test(const Mat& img) = 0; |
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int test8UC1(const Mat& img) |
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{ |
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cv::Mat img_C1; |
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cvtColor(img, img_C1, CV_BGR2GRAY); |
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return test(img_C1); |
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} |
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int test8UC4(const Mat& img) |
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{ |
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cv::Mat img_C4; |
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cvtColor(img, img_C4, CV_BGR2BGRA); |
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return test(img_C4); |
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} |
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int CheckNorm(const Mat& m1, const Mat& m2, const Size& ksize) |
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{ |
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Rect roi = Rect(ksize.width, ksize.height, m1.cols - 2 * ksize.width, m1.rows - 2 * ksize.height); |
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Mat m1ROI = m1(roi); |
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Mat m2ROI = m2(roi); |
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double res = norm(m1ROI, m2ROI, NORM_INF); |
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if (res <= 1) |
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return CvTS::OK; |
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ts->printf(CvTS::LOG, "\nNorm: %f\n", res); |
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return CvTS::FAIL_GENERIC; |
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} |
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}; |
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void CV_GpuNppFilterTest::run( int ) |
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{
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cv::Mat img = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-L.png"); |
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if (img.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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try |
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{ |
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//run tests
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int testResult = CvTS::OK; |
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if (test8UC1(img) != CvTS::OK) |
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testResult = CvTS::FAIL_GENERIC; |
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if (test8UC4(img) != CvTS::OK) |
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testResult = CvTS::FAIL_GENERIC; |
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ts->set_failed_test_info(testResult); |
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} |
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catch(const cv::Exception& e) |
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{ |
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if (!check_and_treat_gpu_exception(e, ts)) |
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throw; |
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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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// blur
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struct CV_GpuNppImageBlurTest : public CV_GpuNppFilterTest |
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{ |
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CV_GpuNppImageBlurTest() : CV_GpuNppFilterTest( "GPU-NppImageBlur", "blur" ) {} |
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int test(const Mat& img) |
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{ |
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int ksizes[] = {3, 5, 7}; |
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int ksizes_num = sizeof(ksizes) / sizeof(int); |
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int test_res = CvTS::OK; |
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for (int i = 0; i < ksizes_num; ++i) |
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{ |
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for (int j = 0; j < ksizes_num; ++j) |
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{ |
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Size ksize(ksizes[i], ksizes[j]); |
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ts->printf(CvTS::LOG, "\nksize = (%dx%d)\n", ksizes[i], ksizes[j]); |
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Mat cpudst; |
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cv::blur(img, cpudst, ksize); |
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GpuMat gpu1(img); |
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GpuMat gpudst; |
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cv::gpu::blur(gpu1, gpudst, ksize); |
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if (CheckNorm(cpudst, gpudst, ksize) != CvTS::OK) |
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test_res = CvTS::FAIL_GENERIC; |
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} |
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} |
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return test_res; |
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} |
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}; |
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////////////////////////////////////////////////////////////////////////////////
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// Sobel
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struct CV_GpuNppImageSobelTest : public CV_GpuNppFilterTest |
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{ |
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CV_GpuNppImageSobelTest() : CV_GpuNppFilterTest( "GPU-NppImageSobel", "Sobel" ) {} |
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int test(const Mat& img) |
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{ |
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int ksizes[] = {3, 5, 7}; |
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int ksizes_num = sizeof(ksizes) / sizeof(int); |
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int dx = 1, dy = 0; |
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int test_res = CvTS::OK; |
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for (int i = 0; i < ksizes_num; ++i) |
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{ |
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ts->printf(CvTS::LOG, "\nksize = %d\n", ksizes[i]); |
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Mat cpudst; |
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cv::Sobel(img, cpudst, -1, dx, dy, ksizes[i]); |
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GpuMat gpu1(img); |
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GpuMat gpudst; |
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cv::gpu::Sobel(gpu1, gpudst, -1, dx, dy, ksizes[i]); |
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if (CheckNorm(cpudst, gpudst, Size(ksizes[i], ksizes[i])) != CvTS::OK) |
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test_res = CvTS::FAIL_GENERIC; |
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} |
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return test_res; |
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} |
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}; |
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////////////////////////////////////////////////////////////////////////////////
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// Scharr
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struct CV_GpuNppImageScharrTest : public CV_GpuNppFilterTest |
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{ |
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CV_GpuNppImageScharrTest() : CV_GpuNppFilterTest( "GPU-NppImageScharr", "Scharr" ) {} |
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int test(const Mat& img) |
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{ |
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int dx = 1, dy = 0; |
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Mat cpudst; |
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cv::Scharr(img, cpudst, -1, dx, dy); |
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GpuMat gpu1(img); |
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GpuMat gpudst; |
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cv::gpu::Scharr(gpu1, gpudst, -1, dx, dy); |
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return CheckNorm(cpudst, gpudst, Size(3, 3)); |
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} |
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}; |
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////////////////////////////////////////////////////////////////////////////////
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// GaussianBlur
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struct CV_GpuNppImageGaussianBlurTest : public CV_GpuNppFilterTest |
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{ |
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CV_GpuNppImageGaussianBlurTest() : CV_GpuNppFilterTest( "GPU-NppImageGaussianBlur", "GaussianBlur" ) {} |
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int test(const Mat& img) |
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{ |
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int ksizes[] = {3, 5, 7}; |
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int ksizes_num = sizeof(ksizes) / sizeof(int); |
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int test_res = CvTS::OK; |
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const double sigma1 = 3.0; |
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for (int i = 0; i < ksizes_num; ++i) |
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{ |
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for (int j = 0; j < ksizes_num; ++j) |
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{ |
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cv::Size ksize(ksizes[i], ksizes[j]); |
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ts->printf(CvTS::LOG, "\nksize = (%dx%d)\n", ksizes[i], ksizes[j]); |
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Mat cpudst; |
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cv::GaussianBlur(img, cpudst, ksize, sigma1); |
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GpuMat gpu1(img); |
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GpuMat gpudst; |
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cv::gpu::GaussianBlur(gpu1, gpudst, ksize, sigma1); |
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if (CheckNorm(cpudst, gpudst, ksize) != CvTS::OK) |
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test_res = CvTS::FAIL_GENERIC; |
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} |
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} |
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return test_res; |
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} |
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}; |
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////////////////////////////////////////////////////////////////////////////////
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// Laplacian
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struct CV_GpuNppImageLaplacianTest : public CV_GpuNppFilterTest |
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{ |
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CV_GpuNppImageLaplacianTest() : CV_GpuNppFilterTest( "GPU-NppImageLaplacian", "Laplacian" ) {} |
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int test(const Mat& img) |
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{ |
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int ksizes[] = {1, 3}; |
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int ksizes_num = sizeof(ksizes) / sizeof(int); |
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int test_res = CvTS::OK; |
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for (int i = 0; i < ksizes_num; ++i) |
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{ |
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ts->printf(CvTS::LOG, "\nksize = %d\n", ksizes[i]); |
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Mat cpudst; |
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cv::Laplacian(img, cpudst, -1, ksizes[i]); |
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GpuMat gpu1(img); |
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GpuMat gpudst; |
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cv::gpu::Laplacian(gpu1, gpudst, -1, ksizes[i]); |
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if (CheckNorm(cpudst, gpudst, Size(3, 3)) != CvTS::OK) |
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test_res = CvTS::FAIL_GENERIC; |
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} |
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return test_res; |
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} |
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}; |
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////////////////////////////////////////////////////////////////////////////////
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// Erode
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class CV_GpuErodeTest : public CV_GpuNppFilterTest |
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{ |
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public: |
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CV_GpuErodeTest() : CV_GpuNppFilterTest( "GPU-NppErode", "erode" ) {}
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protected: |
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virtual int test(const Mat& img) |
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{ |
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Mat kernel(Mat::ones(3, 3, CV_8U)); |
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cv::Mat cpuRes; |
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cv::erode(img, cpuRes, kernel); |
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GpuMat gpuRes; |
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cv::gpu::erode(GpuMat(img), gpuRes, kernel); |
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return CheckNorm(cpuRes, gpuRes, Size(3, 3)); |
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} |
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}; |
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////////////////////////////////////////////////////////////////////////////////
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// Dilate
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class CV_GpuDilateTest : public CV_GpuNppFilterTest |
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{ |
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public: |
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CV_GpuDilateTest() : CV_GpuNppFilterTest( "GPU-NppDilate", "dilate" ) {}
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protected: |
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virtual int test(const Mat& img) |
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{ |
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Mat kernel(Mat::ones(3, 3, CV_8U)); |
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cv::Mat cpuRes; |
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cv::dilate(img, cpuRes, kernel); |
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GpuMat gpuRes; |
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cv::gpu::dilate(GpuMat(img), gpuRes, kernel); |
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return CheckNorm(cpuRes, gpuRes, Size(3, 3)); |
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} |
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}; |
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////////////////////////////////////////////////////////////////////////////////
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// MorphologyEx
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class CV_GpuMorphExTest : public CV_GpuNppFilterTest |
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{ |
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public: |
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CV_GpuMorphExTest() : CV_GpuNppFilterTest( "GPU-NppMorphologyEx", "morphologyEx" ) {}
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protected: |
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virtual int test(const Mat& img) |
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{ |
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static int ops[] = { MORPH_OPEN, CV_MOP_CLOSE, CV_MOP_GRADIENT, CV_MOP_TOPHAT, CV_MOP_BLACKHAT}; |
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const char *names[] = { "MORPH_OPEN", "CV_MOP_CLOSE", "CV_MOP_GRADIENT", "CV_MOP_TOPHAT", "CV_MOP_BLACKHAT"}; |
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int num = sizeof(ops)/sizeof(ops[0]); |
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GpuMat kernel(Mat::ones(3, 3, CV_8U)); |
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int res = CvTS::OK; |
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for(int i = 0; i < num; ++i) |
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{ |
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ts->printf(CvTS::LOG, "Tesing %s\n", names[i]); |
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cv::Mat cpuRes; |
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cv::morphologyEx(img, cpuRes, ops[i], kernel); |
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GpuMat gpuRes; |
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cv::gpu::morphologyEx(GpuMat(img), gpuRes, ops[i], kernel); |
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if (CvTS::OK != CheckNorm(cpuRes, gpuRes, Size(3, 3))) |
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res = CvTS::FAIL_GENERIC; |
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} |
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return res; |
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} |
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}; |
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/////////////////////////////////////////////////////////////////////////////
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/////////////////// tests registration /////////////////////////////////////
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/////////////////////////////////////////////////////////////////////////////
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CV_GpuNppImageBlurTest CV_GpuNppImageBlur_test; |
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CV_GpuNppImageSobelTest CV_GpuNppImageSobel_test; |
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CV_GpuNppImageScharrTest CV_GpuNppImageScharr_test; |
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CV_GpuNppImageGaussianBlurTest CV_GpuNppImageGaussianBlur_test; |
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CV_GpuNppImageLaplacianTest CV_GpuNppImageLaplacian_test; |
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CV_GpuErodeTest CV_GpuErode_test; |
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CV_GpuDilateTest CV_GpuDilate_test; |
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CV_GpuMorphExTest CV_GpuMorphEx_test; |
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@ -1,219 +0,0 @@ |
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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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//
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//M*/
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#include <iostream> |
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#include <cmath> |
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#include <limits> |
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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_GpuNppMorphogyTest : public CvTest |
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{ |
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public: |
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CV_GpuNppMorphogyTest(const char* test_name, const char* test_funcs) : CvTest(test_name, test_funcs) {} |
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virtual ~CV_GpuNppMorphogyTest() {} |
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protected: |
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void run(int); |
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virtual int test(const Mat& img) = 0; |
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int test8UC1(const Mat& img) |
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{ |
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cv::Mat img_C1; |
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cvtColor(img, img_C1, CV_BGR2GRAY); |
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return test(img_C1); |
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} |
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int test8UC4(const Mat& img) |
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{ |
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cv::Mat img_C4; |
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cvtColor(img, img_C4, CV_BGR2BGRA);
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return test(img_C4); |
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} |
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int CheckNorm(const Mat& m1, const Mat& m2) |
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{ |
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double res = norm(m1, m2, NORM_INF); |
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if (res < std::numeric_limits<double>::epsilon()) |
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return CvTS::OK; |
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ts->printf(CvTS::LOG, "\nNorm: %f\n", res); |
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return CvTS::FAIL_GENERIC; |
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} |
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}; |
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void CV_GpuNppMorphogyTest::run( int ) |
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{
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cv::Mat img = cv::imread(std::string(ts->get_data_path()) + "stereobp/aloe-L.png"); |
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if (img.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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try |
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{ |
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//run tests
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int testResult = test8UC1(img); |
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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); |
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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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} |
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catch(const cv::Exception& e) |
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{ |
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if (!check_and_treat_gpu_exception(e, ts)) |
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throw; |
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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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// Erode
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class CV_GpuErodeTest : public CV_GpuNppMorphogyTest |
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{ |
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public: |
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CV_GpuErodeTest() : CV_GpuNppMorphogyTest( "GPU-NppErode", "erode" ) {}
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protected: |
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virtual int test(const Mat& img) |
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{ |
||||
GpuMat kernel(Mat::ones(3, 3, CV_8U)); |
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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; |
||||
Loading…
Reference in new issue