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106 lines
3.7 KiB
C++
106 lines
3.7 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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage 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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// 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 cvtest {
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namespace ocl {
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PARAM_TEST_CASE(FastNlMeansDenoisingTestBase, Channels, bool)
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{
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int cn, templateWindowSize, searchWindowSize;
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float h;
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bool use_roi;
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TEST_DECLARE_INPUT_PARAMETER(src)
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TEST_DECLARE_OUTPUT_PARAMETER(dst)
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virtual void SetUp()
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{
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cn = GET_PARAM(0);
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use_roi = GET_PARAM(1);
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templateWindowSize = 7;
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searchWindowSize = 21;
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h = 3.0f;
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}
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virtual void generateTestData()
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{
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const int type = CV_8UC(cn);
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Size roiSize = randomSize(1, MAX_VALUE);
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Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(src, src_roi, roiSize, srcBorder, type, 0, 255);
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Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 0, 255);
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UMAT_UPLOAD_INPUT_PARAMETER(src)
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
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}
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};
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typedef FastNlMeansDenoisingTestBase FastNlMeansDenoising;
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OCL_TEST_P(FastNlMeansDenoising, Mat)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::fastNlMeansDenoising(src_roi, dst_roi, h, templateWindowSize, searchWindowSize));
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OCL_ON(cv::fastNlMeansDenoising(usrc_roi, udst_roi, h, templateWindowSize, searchWindowSize));
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OCL_EXPECT_MATS_NEAR(dst, 1)
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}
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}
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OCL_INSTANTIATE_TEST_CASE_P(Photo, FastNlMeansDenoising, Combine(Values(1, 2), Bool()));
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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL
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