mirror of
https://github.com/opencv/opencv_contrib.git
synced 2025-10-19 19:44:14 +08:00
43 lines
1.5 KiB
C++
43 lines
1.5 KiB
C++
// 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
|