/*M/////////////////////////////////////////////////////////////////////////////////////// // // 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. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., 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 the copyright holders 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 // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "test_precomp.hpp" #include using namespace cv; using namespace std; class CV_ImgprocUMatTest : public cvtest::BaseTest { public: CV_ImgprocUMatTest() {} ~CV_ImgprocUMatTest() {} protected: void run(int) { string imgpath = string(ts->get_data_path()) + "shared/lena.png"; Mat img = imread(imgpath, 1), gray, smallimg, result; UMat uimg = img.getUMat(ACCESS_READ), ugray, usmallimg, uresult; cvtColor(img, gray, COLOR_BGR2GRAY); resize(gray, smallimg, Size(), 0.75, 0.75, INTER_LINEAR); equalizeHist(smallimg, result); cvtColor(uimg, ugray, COLOR_BGR2GRAY); resize(ugray, usmallimg, Size(), 0.75, 0.75, INTER_LINEAR); equalizeHist(usmallimg, uresult); #if 0 imshow("orig", uimg); imshow("small", usmallimg); imshow("equalized gray", uresult); waitKey(); destroyWindow("orig"); destroyWindow("small"); destroyWindow("equalized gray"); #endif ts->set_failed_test_info(cvtest::TS::OK); } }; TEST(Imgproc_UMat, regression) { CV_ImgprocUMatTest test; test.safe_run(); }