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https://github.com/opencv/opencv.git
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4a297a2443
- removed tr1 usage (dropped in C++17) - moved includes of vector/map/iostream/limits into ts.hpp - require opencv_test + anonymous namespace (added compile check) - fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions - added missing license headers
128 lines
4.7 KiB
C++
128 lines
4.7 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) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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// Nathan, liujun@multicorewareinc.com
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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 Intel Corporation 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 "opencv2/ts/ocl_test.hpp"
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#ifdef HAVE_OPENCL
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namespace opencv_test {
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namespace ocl {
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PARAM_TEST_CASE(BlendLinear, MatDepth, Channels, bool)
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{
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int depth, channels;
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bool useRoi;
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TEST_DECLARE_INPUT_PARAMETER(src1);
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TEST_DECLARE_INPUT_PARAMETER(src2);
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TEST_DECLARE_INPUT_PARAMETER(weights2);
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TEST_DECLARE_INPUT_PARAMETER(weights1);
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TEST_DECLARE_OUTPUT_PARAMETER(dst);
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virtual void SetUp()
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{
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depth = GET_PARAM(0);
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channels = GET_PARAM(1);
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useRoi = GET_PARAM(2);
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}
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void random_roi()
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{
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const int type = CV_MAKE_TYPE(depth, channels);
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const double upValue = 256;
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Size roiSize = randomSize(1, MAX_VALUE);
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Border src1Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(src1, src1_roi, roiSize, src1Border, type, -upValue, upValue);
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Border src2Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(src2, src2_roi, roiSize, src2Border, type, -upValue, upValue);
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Border weights1Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(weights1, weights1_roi, roiSize, weights1Border, CV_32FC1, -upValue, upValue);
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Border weights2Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(weights2, weights2_roi, roiSize, weights2Border, CV_32FC1, 1e-2, upValue);
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weights2_roi -= weights1_roi;
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CV_Assert(checkNorm2(weights2_roi, weights2(Rect(weights2Border.lef, weights2Border.top,
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roiSize.width, roiSize.height))) < 1e-6);
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Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 5, 16);
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UMAT_UPLOAD_INPUT_PARAMETER(src1);
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UMAT_UPLOAD_INPUT_PARAMETER(src2);
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UMAT_UPLOAD_INPUT_PARAMETER(weights1);
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UMAT_UPLOAD_INPUT_PARAMETER(weights2);
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
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}
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void Near(double eps = 0.0)
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{
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OCL_EXPECT_MATS_NEAR(dst, eps);
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}
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};
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OCL_TEST_P(BlendLinear, Accuracy)
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{
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for (int i = 0; i < test_loop_times; ++i)
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{
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random_roi();
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OCL_OFF(cv::blendLinear(src1_roi, src2_roi, weights1_roi, weights2_roi, dst_roi));
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OCL_ON(cv::blendLinear(usrc1_roi, usrc2_roi, uweights1_roi, uweights2_roi, udst_roi));
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Near(depth <= CV_32S ? 1.0 : 0.5);
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}
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}
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OCL_INSTANTIATE_TEST_CASE_P(ImgProc, BlendLinear, Combine(testing::Values(CV_8U, CV_32F), OCL_ALL_CHANNELS, Bool()));
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} } // namespace opencv_test::ocl
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#endif
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