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43 lines
1.5 KiB
C++
43 lines
1.5 KiB
C++
// 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(ximgproc_StructuredEdgeDetection, regression)
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{
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cv::String subfolder = "cv/ximgproc/";
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cv::String dir = cvtest::TS::ptr()->get_data_path() + subfolder;
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int nTests = 12;
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float threshold = 0.01f;
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cv::String modelName = dir + "model.yml.gz";
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cv::Ptr<cv::ximgproc::StructuredEdgeDetection> pDollar =
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cv::ximgproc::createStructuredEdgeDetection(modelName);
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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, 0 );
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previousResult.convertTo( previousResult, CV_32F, 1/255.0 );
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src.convertTo( src, CV_32F, 1/255.0 );
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cv::Mat currentResult( src.size(), src.type() );
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pDollar->detectEdges( src, currentResult );
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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() ) );
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EXPECT_LE( mse[0], threshold );
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}
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}
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}} // namespace
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