vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

modules/ximgproc/test/test_structured_edge_detection.cpp

@@ -0,0 +1,42 @@
+// This file is part of OpenCV project.
+// It is subject to the license terms in the LICENSE file found in the top-level directory
+// of this distribution and at http://opencv.org/license.html.
+#include "test_precomp.hpp"
+
+namespace opencv_test { namespace {
+
+TEST(ximgproc_StructuredEdgeDetection, regression)
+{
+    cv::String subfolder = "cv/ximgproc/";
+    cv::String dir = cvtest::TS::ptr()->get_data_path() + subfolder;
+    int nTests = 12;
+    float threshold = 0.01f;
+    
+    cv::String modelName = dir + "model.yml.gz";
+    cv::Ptr<cv::ximgproc::StructuredEdgeDetection> pDollar =
+        cv::ximgproc::createStructuredEdgeDetection(modelName);
+
+    for (int i = 0; i < nTests; ++i)
+    {
+        cv::String srcName = dir + cv::format( "sources/%02d.png", i + 1);
+        cv::Mat src = cv::imread( srcName, 1 );
+        ASSERT_TRUE(!src.empty());
+
+        cv::String previousResultName = dir + cv::format( "results/%02d.png", i + 1 );
+        cv::Mat previousResult = cv::imread( previousResultName, 0 );
+        previousResult.convertTo( previousResult, CV_32F, 1/255.0 );
+
+        src.convertTo( src, CV_32F, 1/255.0 );
+
+        cv::Mat currentResult( src.size(), src.type() );
+        pDollar->detectEdges( src, currentResult );
+
+        cv::Mat sqrError = ( currentResult - previousResult )
+            .mul( currentResult - previousResult );
+        cv::Scalar mse = cv::sum(sqrError) / cv::Scalar::all( double( sqrError.total() ) );
+
+        EXPECT_LE( mse[0], threshold );
+    }
+}
+
+}} // namespace