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Viewing changes to sw/ext/opencv_bebop/opencv/modules/photo/perf/opencl/perf_denoising.cpp

  • Committer: Paparazzi buildbot
  • Date: 2016-05-18 15:00:29 UTC
  • Revision ID: felix.ruess+docbot@gmail.com-20160518150029-e8lgzi5kvb4p7un9
Manual import commit 4b8bbb730080dac23cf816b98908dacfabe2a8ec from v5.0 branch.

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sw/ext/opencv_bebop/opencv/modules/photo/perf/opencl/perf_denoising.cpp
 
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// This file is part of OpenCV project.
 
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// It is subject to the license terms in the LICENSE file found in the top-level directory
 
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// of this distribution and at http://opencv.org/license.html.
 
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// Copyright (C) 2014, Advanced Micro Devices, Inc., all rights reserved.
 
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// Third party copyrights are property of their respective owners.
 
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#include "../perf_precomp.hpp"
 
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#include "opencv2/ts/ocl_perf.hpp"
 
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#ifdef HAVE_OPENCL
 
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namespace cvtest {
 
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namespace ocl {
 
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OCL_PERF_TEST(Photo, DenoisingGrayscale)
 
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{
 
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    Mat _original = imread(getDataPath("cv/denoising/lena_noised_gaussian_sigma=10.png"), IMREAD_GRAYSCALE);
 
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    ASSERT_FALSE(_original.empty()) << "Could not load input image";
 
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    UMat result(_original.size(), _original.type()), original;
 
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    _original.copyTo(original);
 
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    declare.in(original).out(result).iterations(10);
 
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    OCL_TEST_CYCLE()
 
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            cv::fastNlMeansDenoising(original, result, 10);
 
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    SANITY_CHECK(result, 1);
 
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}
 
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OCL_PERF_TEST(Photo, DenoisingColored)
 
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{
 
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    Mat _original = imread(getDataPath("cv/denoising/lena_noised_gaussian_sigma=10.png"));
 
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    ASSERT_FALSE(_original.empty()) << "Could not load input image";
 
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    UMat result(_original.size(), _original.type()), original;
 
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    _original.copyTo(original);
 
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    declare.in(original).out(result).iterations(10);
 
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    OCL_TEST_CYCLE()
 
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            cv::fastNlMeansDenoisingColored(original, result, 10, 10);
 
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    SANITY_CHECK(result, 2);
 
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}
 
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OCL_PERF_TEST(Photo, DISABLED_DenoisingGrayscaleMulti)
 
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{
 
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    const int imgs_count = 3;
 
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    vector<UMat> original(imgs_count);
 
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    Mat tmp;
 
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    for (int i = 0; i < imgs_count; i++)
 
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    {
 
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        string original_path = format("cv/denoising/lena_noised_gaussian_sigma=20_multi_%d.png", i);
 
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        tmp = imread(getDataPath(original_path), IMREAD_GRAYSCALE);
 
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        ASSERT_FALSE(tmp.empty()) << "Could not load input image " << original_path;
 
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        tmp.copyTo(original[i]);
 
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        declare.in(original[i]);
 
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    }
 
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    UMat result(tmp.size(), tmp.type());
 
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    declare.out(result).iterations(10);
 
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    OCL_TEST_CYCLE()
 
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            cv::fastNlMeansDenoisingMulti(original, result, imgs_count / 2, imgs_count, 15);
 
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    SANITY_CHECK(result);
 
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}
 
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OCL_PERF_TEST(Photo, DISABLED_DenoisingColoredMulti)
 
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{
 
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    const int imgs_count = 3;
 
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    vector<UMat> original(imgs_count);
 
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    Mat tmp;
 
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    for (int i = 0; i < imgs_count; i++)
 
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    {
 
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        string original_path = format("cv/denoising/lena_noised_gaussian_sigma=20_multi_%d.png", i);
 
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        tmp = imread(getDataPath(original_path), IMREAD_COLOR);
 
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        ASSERT_FALSE(tmp.empty()) << "Could not load input image " << original_path;
 
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        tmp.copyTo(original[i]);
 
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        declare.in(original[i]);
 
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    }
 
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    UMat result(tmp.size(), tmp.type());
 
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    declare.out(result).iterations(10);
 
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    OCL_TEST_CYCLE()
 
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            cv::fastNlMeansDenoisingColoredMulti(original, result, imgs_count / 2, imgs_count, 10, 15);
 
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    SANITY_CHECK(result);
 
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}
 
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} } // namespace cvtest::ocl
 
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#endif // HAVE_OPENCL