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42 lines
1.4 KiB
42 lines
1.4 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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#include "test_precomp.hpp" |
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namespace opencv_test { namespace { |
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TEST(xphoto_dctimagedenoising, regression) |
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{ |
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cv::String subfolder = "cv/xphoto/"; |
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cv::String dir = cvtest::TS::ptr()->get_data_path() + subfolder + "dct_image_denoising/"; |
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int nTests = 1; |
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double thresholds[] = {0.2}; |
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int psize[] = {8}; |
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double sigma[] = {9.0}; |
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for (int i = 0; i < nTests; ++i) |
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{ |
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cv::String srcName = dir + cv::format( "sources/%02d.png", i + 1); |
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cv::Mat src = cv::imread( srcName, 1 ); |
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ASSERT_TRUE(!src.empty()); |
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cv::String previousResultName = dir + cv::format( "results/%02d.png", i + 1 ); |
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cv::Mat previousResult = cv::imread( previousResultName, 1 ); |
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ASSERT_TRUE(!src.empty()); |
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cv::Mat currentResult; |
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cv::xphoto::dctDenoising(src, currentResult, sigma[i], psize[i]); |
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cv::Mat sqrError = ( currentResult - previousResult ) |
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.mul( currentResult - previousResult ); |
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cv::Scalar mse = cv::sum(sqrError) / cv::Scalar::all( double(sqrError.total()*sqrError.channels()) ); |
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EXPECT_LE( mse[0] + mse[1] + mse[2] + mse[3], thresholds[i] ); |
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} |
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} |
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}} // namespace
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