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Open Source Computer Vision Library
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97 lines
2.9 KiB
97 lines
2.9 KiB
// 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); |
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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); |
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} |
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OCL_PERF_TEST(Photo, 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, 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
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