/*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) 2010-2012, Multicoreware, Inc., all rights reserved. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // @Authors // Nathan, liujun@multicorewareinc.com // // 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 "opencv2/ts/ocl_test.hpp" #ifdef HAVE_OPENCL namespace opencv_test { namespace ocl { PARAM_TEST_CASE(BlendLinear, MatDepth, Channels, bool) { int depth, channels; bool useRoi; TEST_DECLARE_INPUT_PARAMETER(src1); TEST_DECLARE_INPUT_PARAMETER(src2); TEST_DECLARE_INPUT_PARAMETER(weights2); TEST_DECLARE_INPUT_PARAMETER(weights1); TEST_DECLARE_OUTPUT_PARAMETER(dst); virtual void SetUp() { depth = GET_PARAM(0); channels = GET_PARAM(1); useRoi = GET_PARAM(2); } void random_roi() { const int type = CV_MAKE_TYPE(depth, channels); const double upValue = 256; Size roiSize = randomSize(1, MAX_VALUE); Border src1Border = randomBorder(0, useRoi ? MAX_VALUE : 0); randomSubMat(src1, src1_roi, roiSize, src1Border, type, -upValue, upValue); Border src2Border = randomBorder(0, useRoi ? MAX_VALUE : 0); randomSubMat(src2, src2_roi, roiSize, src2Border, type, -upValue, upValue); Border weights1Border = randomBorder(0, useRoi ? MAX_VALUE : 0); randomSubMat(weights1, weights1_roi, roiSize, weights1Border, CV_32FC1, -upValue, upValue); Border weights2Border = randomBorder(0, useRoi ? MAX_VALUE : 0); randomSubMat(weights2, weights2_roi, roiSize, weights2Border, CV_32FC1, 1e-2, upValue); weights2_roi -= weights1_roi; CV_Assert(checkNorm2(weights2_roi, weights2(Rect(weights2Border.lef, weights2Border.top, roiSize.width, roiSize.height))) < 1e-6); Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0); randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 5, 16); UMAT_UPLOAD_INPUT_PARAMETER(src1); UMAT_UPLOAD_INPUT_PARAMETER(src2); UMAT_UPLOAD_INPUT_PARAMETER(weights1); UMAT_UPLOAD_INPUT_PARAMETER(weights2); UMAT_UPLOAD_OUTPUT_PARAMETER(dst); } void Near(double eps = 0.0) { OCL_EXPECT_MATS_NEAR(dst, eps); } }; OCL_TEST_P(BlendLinear, Accuracy) { for (int i = 0; i < test_loop_times; ++i) { random_roi(); OCL_OFF(cv::blendLinear(src1_roi, src2_roi, weights1_roi, weights2_roi, dst_roi)); OCL_ON(cv::blendLinear(usrc1_roi, usrc2_roi, uweights1_roi, uweights2_roi, udst_roi)); Near(depth <= CV_32S ? 1.0 : 0.5); } } OCL_INSTANTIATE_TEST_CASE_P(ImgProc, BlendLinear, Combine(testing::Values(CV_8U, CV_32F), OCL_ALL_CHANNELS, Bool())); } } // namespace opencv_test::ocl #endif