Commit e06ef978 authored by Alexander Shishkov's avatar Alexander Shishkov

added namespace ximgproc

parent 6ebd07b2
......@@ -42,6 +42,7 @@
#ifndef __OPENCV_STRUCTURED_EDGE_DETECTION_HPP__
#define __OPENCV_STRUCTURED_EDGE_DETECTION_HPP__
#ifdef __cplusplus
/*
* structured_edge_detection.hpp
......@@ -57,7 +58,8 @@
*/
namespace cv
{
namespace ximgproc
{
/*! \class RFFeatureGetter
Helper class for training part of [P. Dollar and C. L. Zitnick. Structured Forests for Fast Edge Detection, 2013].
*/
......@@ -120,5 +122,6 @@ CV_EXPORTS_W Ptr<StructuredEdgeDetection> createStructuredEdgeDetection(const St
const RFFeatureGetter *howToGetFeatures = NULL);
}
}
#endif
#endif /* __OPENCV_STRUCTURED_EDGE_DETECTION_HPP__ */
\ No newline at end of file
#include "opencv2/ximpgroc/structured_edge_detection.hpp"
#include "opencv2/imgproc.hpp"
#include <opencv2/ximgproc.hpp>
#include "opencv2/highgui.hpp"
#include "opencv2/core/utility.hpp"
#include "opencv2/imgproc/types_c.h"
using namespace cv;
using namespace cv::ximgproc;
const char* keys =
{
......@@ -49,8 +48,8 @@ int main( int argc, const char** argv )
cv::Mat edges(image.size(), image.type());
cv::Ptr<cv::StructuredEdgeDetection> pDollar =
cv::createStructuredEdgeDetection(modelFilename);
cv::Ptr<StructuredEdgeDetection> pDollar =
createStructuredEdgeDetection(modelFilename);
pDollar->detectEdges(image, edges);
if ( outFilename == "" )
......
......@@ -39,6 +39,7 @@
#ifndef __ADVANCED_TYPES_HPP__
#define __ADVANCED_TYPES_HPP__
#ifdef __cplusplus
#include <opencv2/core.hpp>
......@@ -69,6 +70,8 @@ typedef cv::Mat NChannelsMat;
namespace cv
{
namespace ximgproc
{
template <typename _Tp, typename _Tp2> inline
cv::Size_<_Tp> operator * (const _Tp2 &x, const cv::Size_<_Tp> &sz)
......@@ -83,5 +86,6 @@ template <typename _Tp, typename _Tp2> inline
}
} // cv
}
#endif
#endif /* __ADVANCED_TYPES_HPP__ */
\ No newline at end of file
......@@ -43,17 +43,9 @@
#include <iostream>
#include <cmath>
#include "opencv2/ximpgroc/structured_edge_detection.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/core.hpp"
#include "opencv2/core/core_c.h"
#include "precomp.hpp"
#include "advanced_types.hpp"
#include "opencv2/core/types.hpp"
#include "opencv2/core/types_c.h"
/********************* Helper functions *********************/
......@@ -196,7 +188,7 @@ static void gradientHist(const cv::Mat &src, cv::Mat &magnitude, cv::Mat &histog
magnitude.create( src.size(), cv::DataType<float>::type );
phase.create( src.size(), cv::DataType<float>::type );
histogram.create( src.size()/float(pSize),
histogram.create( cv::Size(src.size().width/float(pSize), src.size().height/float(pSize)) ,
CV_MAKETYPE(cv::DataType<float>::type, nBins) );
histogram.setTo(0);
......@@ -258,6 +250,8 @@ static void gradientHist(const cv::Mat &src, cv::Mat &magnitude, cv::Mat &histog
namespace cv
{
namespace ximgproc
{
class RFFeatureGetterImpl : public RFFeatureGetter
{
......@@ -325,12 +319,15 @@ Ptr<RFFeatureGetter> createRFFeatureGetter()
return makePtr<RFFeatureGetterImpl>();
}
};
}
}
/********************* StructuredEdgeDetection class *********************/
namespace cv
{
namespace ximgproc
{
class StructuredEdgeDetectionImpl : public StructuredEdgeDetection
{
......@@ -692,3 +689,4 @@ Ptr<StructuredEdgeDetection> createStructuredEdgeDetection(const String &model,
}
}
}
......@@ -10,8 +10,8 @@ TEST(ximpgroc_StructuredEdgeDetection, regression)
float threshold = 0.01f;
cv::String modelName = dir + "model.yml.gz";
cv::Ptr<cv::StructuredEdgeDetection> pDollar =
cv::createStructuredEdgeDetection(modelName);
cv::Ptr<cv::ximgproc::StructuredEdgeDetection> pDollar =
cv::ximgproc::createStructuredEdgeDetection(modelName);
for (int i = 0; i < nTests; ++i)
{
......
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