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Open Source Computer Vision Library
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321 lines
8.6 KiB
321 lines
8.6 KiB
/*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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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2013, OpenCV Foundation, 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 the copyright holders 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 OpenCV Foundation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (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 "test_precomp.hpp" |
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#include <string> |
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#include <iostream> |
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#include "opencv2/core/ocl.hpp" |
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using namespace cv; |
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using namespace std; |
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class CV_UMatTest : |
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public cvtest::BaseTest |
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{ |
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public: |
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CV_UMatTest() {} |
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~CV_UMatTest() {} |
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protected: |
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void run(int); |
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struct test_excep |
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{ |
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test_excep(const string& _s=string("")) : s(_s) { } |
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string s; |
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}; |
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bool TestUMat(); |
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void checkDiff(const Mat& m1, const Mat& m2, const string& s) |
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{ |
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if (norm(m1, m2, NORM_INF) != 0) |
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throw test_excep(s); |
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} |
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void checkDiffF(const Mat& m1, const Mat& m2, const string& s) |
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{ |
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if (norm(m1, m2, NORM_INF) > 1e-5) |
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throw test_excep(s); |
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} |
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}; |
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#define STR(a) STR2(a) |
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#define STR2(a) #a |
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#define CHECK_DIFF(a, b) checkDiff(a, b, "(" #a ") != (" #b ") at l." STR(__LINE__)) |
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#define CHECK_DIFF_FLT(a, b) checkDiffF(a, b, "(" #a ") !=(eps) (" #b ") at l." STR(__LINE__)) |
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bool CV_UMatTest::TestUMat() |
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{ |
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try |
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{ |
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Mat a(100, 100, CV_16SC2), b, c; |
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randu(a, Scalar::all(-100), Scalar::all(100)); |
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Rect roi(1, 3, 5, 4); |
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Mat ra(a, roi), rb, rc, rc0; |
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UMat ua, ura, ub, urb, uc, urc; |
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a.copyTo(ua); |
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ua.copyTo(b); |
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CHECK_DIFF(a, b); |
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ura = ua(roi); |
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ura.copyTo(rb); |
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CHECK_DIFF(ra, rb); |
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ra += Scalar::all(1.f); |
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{ |
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Mat temp = ura.getMat(ACCESS_RW); |
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temp += Scalar::all(1.f); |
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} |
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ra.copyTo(rb); |
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CHECK_DIFF(ra, rb); |
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b = a.clone(); |
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ra = a(roi); |
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rb = b(roi); |
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randu(b, Scalar::all(-100), Scalar::all(100)); |
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b.copyTo(ub); |
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urb = ub(roi); |
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/*std::cout << "==============================================\nbefore op (CPU):\n"; |
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std::cout << "ra: " << ra << std::endl; |
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std::cout << "rb: " << rb << std::endl;*/ |
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ra.copyTo(ura); |
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rb.copyTo(urb); |
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ra.release(); |
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rb.release(); |
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ura.copyTo(ra); |
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urb.copyTo(rb); |
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/*std::cout << "==============================================\nbefore op (GPU):\n"; |
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std::cout << "ra: " << ra << std::endl; |
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std::cout << "rb: " << rb << std::endl;*/ |
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cv::max(ra, rb, rc); |
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cv::max(ura, urb, urc); |
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urc.copyTo(rc0); |
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/*std::cout << "==============================================\nafter op:\n"; |
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std::cout << "rc: " << rc << std::endl; |
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std::cout << "rc0: " << rc0 << std::endl;*/ |
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CHECK_DIFF(rc0, rc); |
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{ |
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UMat tmp = rc0.getUMat(ACCESS_WRITE); |
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cv::max(ura, urb, tmp); |
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} |
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CHECK_DIFF(rc0, rc); |
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ura.copyTo(urc); |
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cv::max(urc, urb, urc); |
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urc.copyTo(rc0); |
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CHECK_DIFF(rc0, rc); |
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rc = ra ^ rb; |
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cv::bitwise_xor(ura, urb, urc); |
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urc.copyTo(rc0); |
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/*std::cout << "==============================================\nafter op:\n"; |
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std::cout << "ra: " << rc0 << std::endl; |
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std::cout << "rc: " << rc << std::endl;*/ |
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CHECK_DIFF(rc0, rc); |
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rc = ra + rb; |
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cv::add(ura, urb, urc); |
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urc.copyTo(rc0); |
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CHECK_DIFF(rc0, rc); |
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cv::subtract(ra, Scalar::all(5), rc); |
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cv::subtract(ura, Scalar::all(5), urc); |
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urc.copyTo(rc0); |
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CHECK_DIFF(rc0, rc); |
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} |
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catch (const test_excep& e) |
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{ |
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ts->printf(cvtest::TS::LOG, "%s\n", e.s.c_str()); |
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ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); |
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return false; |
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} |
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return true; |
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} |
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void CV_UMatTest::run( int /* start_from */) |
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{ |
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printf("Use OpenCL: %s\nHave OpenCL: %s\n", |
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ocl::useOpenCL() ? "TRUE" : "FALSE", |
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ocl::haveOpenCL() ? "TRUE" : "FALSE" ); |
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if (!TestUMat()) |
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return; |
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ts->set_failed_test_info(cvtest::TS::OK); |
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} |
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TEST(Core_UMat, base) { CV_UMatTest test; test.safe_run(); } |
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TEST(Core_UMat, getUMat) |
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{ |
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{ |
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int a[3] = { 1, 2, 3 }; |
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Mat m = Mat(1, 1, CV_32SC3, a); |
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UMat u = m.getUMat(ACCESS_READ); |
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EXPECT_NE((void*)NULL, u.u); |
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} |
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{ |
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Mat m(10, 10, CV_8UC1), ref; |
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for (int y = 0; y < m.rows; ++y) |
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{ |
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uchar * const ptr = m.ptr<uchar>(y); |
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for (int x = 0; x < m.cols; ++x) |
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ptr[x] = (uchar)(x + y * 2); |
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} |
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ref = m.clone(); |
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Rect r(1, 1, 8, 8); |
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ref(r).setTo(17); |
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{ |
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UMat um = m(r).getUMat(ACCESS_WRITE); |
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um.setTo(17); |
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} |
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double err = norm(m, ref, NORM_INF); |
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if (err > 0) |
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{ |
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std::cout << "m: " << std::endl << m << std::endl; |
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std::cout << "ref: " << std::endl << ref << std::endl; |
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} |
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EXPECT_EQ(0., err); |
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} |
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} |
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TEST(UMat, Sync) |
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{ |
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UMat um(10, 10, CV_8UC1); |
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{ |
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Mat m = um.getMat(ACCESS_WRITE); |
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m.setTo(cv::Scalar::all(17)); |
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} |
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um.setTo(cv::Scalar::all(19)); |
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EXPECT_EQ(0, cv::norm(um.getMat(ACCESS_READ), cv::Mat(um.size(), um.type(), 19), NORM_INF)); |
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} |
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#define EXPECT_MAT_NEAR(m1, m2) ASSERT_EQ(0, cv::norm(m1, m1, cv::NORM_INF)) |
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TEST(UMat, setOpenCL) |
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{ |
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// save the current state |
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bool useOCL = ocl::useOpenCL(); |
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Mat m = (Mat_<uchar>(3,3)<<0,1,2,3,4,5,6,7,8); |
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ocl::setUseOpenCL(true); |
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UMat um1; |
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m.copyTo(um1); |
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ocl::setUseOpenCL(false); |
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UMat um2; |
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m.copyTo(um2); |
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ocl::setUseOpenCL(true); |
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countNonZero(um1); |
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countNonZero(um2); |
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um1.copyTo(um2); |
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EXPECT_MAT_NEAR(um1, um2); |
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EXPECT_MAT_NEAR(um1, m); |
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um2.copyTo(um1); |
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EXPECT_MAT_NEAR(um1, m); |
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EXPECT_MAT_NEAR(um1, um2); |
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ocl::setUseOpenCL(false); |
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countNonZero(um1); |
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countNonZero(um2); |
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um1.copyTo(um2); |
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EXPECT_MAT_NEAR(um1, um2); |
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EXPECT_MAT_NEAR(um1, m); |
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um2.copyTo(um1); |
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EXPECT_MAT_NEAR(um1, um2); |
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EXPECT_MAT_NEAR(um1, m); |
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// reset state to the previous one |
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ocl::setUseOpenCL(useOCL); |
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} |
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TEST(UMat, BufferPoolGrowing) |
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{ |
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#ifdef _DEBUG |
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const int ITERATIONS = 100; |
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#else |
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const int ITERATIONS = 200; |
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#endif |
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const Size sz(1920, 1080); |
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BufferPoolController* c = ocl::getOpenCLAllocator()->getBufferPoolController(); |
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if (c) |
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{ |
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size_t oldMaxReservedSize = c->getMaxReservedSize(); |
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c->freeAllReservedBuffers(); |
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c->setMaxReservedSize(sz.area() * 10); |
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for (int i = 0; i < ITERATIONS; i++) |
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{ |
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UMat um(Size(sz.width + i, sz.height + i), CV_8UC1); |
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UMat um2(Size(sz.width + 2 * i, sz.height + 2 * i), CV_8UC1); |
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} |
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c->setMaxReservedSize(oldMaxReservedSize); |
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c->freeAllReservedBuffers(); |
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} |
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else |
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{ |
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std::cout << "Skipped, no OpenCL" << std::endl; |
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} |
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}
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