98 lines
2.9 KiB
C++
98 lines
2.9 KiB
C++
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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 opencv_test {
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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 opencv_test::ocl
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#endif // HAVE_OPENCL
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