251 lines
7.0 KiB
C++
251 lines
7.0 KiB
C++
/*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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