mirror of
https://github.com/opencv/opencv_contrib.git
synced 2025-10-16 13:57:05 +08:00
added namespace ximgproc
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@@ -42,6 +42,7 @@
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#ifndef __OPENCV_STRUCTURED_EDGE_DETECTION_HPP__
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#define __OPENCV_STRUCTURED_EDGE_DETECTION_HPP__
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#ifdef __cplusplus
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/*
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* structured_edge_detection.hpp
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@@ -57,7 +58,8 @@
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*/
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namespace cv
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{
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namespace ximgproc
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{
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/*! \class RFFeatureGetter
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Helper class for training part of [P. Dollar and C. L. Zitnick. Structured Forests for Fast Edge Detection, 2013].
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*/
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@@ -120,5 +122,6 @@ CV_EXPORTS_W Ptr<StructuredEdgeDetection> createStructuredEdgeDetection(const St
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const RFFeatureGetter *howToGetFeatures = NULL);
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}
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}
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#endif
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#endif /* __OPENCV_STRUCTURED_EDGE_DETECTION_HPP__ */
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@@ -1,10 +1,9 @@
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#include "opencv2/ximpgroc/structured_edge_detection.hpp"
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#include "opencv2/imgproc.hpp"
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#include <opencv2/ximgproc.hpp>
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#include "opencv2/highgui.hpp"
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#include "opencv2/core/utility.hpp"
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#include "opencv2/imgproc/types_c.h"
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using namespace cv;
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using namespace cv::ximgproc;
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const char* keys =
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{
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@@ -49,8 +48,8 @@ int main( int argc, const char** argv )
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cv::Mat edges(image.size(), image.type());
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cv::Ptr<cv::StructuredEdgeDetection> pDollar =
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cv::createStructuredEdgeDetection(modelFilename);
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cv::Ptr<StructuredEdgeDetection> pDollar =
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createStructuredEdgeDetection(modelFilename);
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pDollar->detectEdges(image, edges);
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if ( outFilename == "" )
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@@ -39,6 +39,7 @@
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#ifndef __ADVANCED_TYPES_HPP__
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#define __ADVANCED_TYPES_HPP__
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#ifdef __cplusplus
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#include <opencv2/core.hpp>
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@@ -69,6 +70,8 @@ typedef cv::Mat NChannelsMat;
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namespace cv
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{
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namespace ximgproc
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{
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template <typename _Tp, typename _Tp2> inline
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cv::Size_<_Tp> operator * (const _Tp2 &x, const cv::Size_<_Tp> &sz)
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@@ -83,5 +86,6 @@ template <typename _Tp, typename _Tp2> inline
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}
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} // cv
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}
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#endif
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#endif /* __ADVANCED_TYPES_HPP__ */
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@@ -43,17 +43,9 @@
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#include <iostream>
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#include <cmath>
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#include "opencv2/ximpgroc/structured_edge_detection.hpp"
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#include "opencv2/imgproc.hpp"
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#include "opencv2/core.hpp"
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#include "opencv2/core/core_c.h"
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#include "precomp.hpp"
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#include "advanced_types.hpp"
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#include "opencv2/core/types.hpp"
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#include "opencv2/core/types_c.h"
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/********************* Helper functions *********************/
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@@ -196,7 +188,7 @@ static void gradientHist(const cv::Mat &src, cv::Mat &magnitude, cv::Mat &histog
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magnitude.create( src.size(), cv::DataType<float>::type );
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phase.create( src.size(), cv::DataType<float>::type );
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histogram.create( src.size()/float(pSize),
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histogram.create( cv::Size(src.size().width/float(pSize), src.size().height/float(pSize)) ,
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CV_MAKETYPE(cv::DataType<float>::type, nBins) );
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histogram.setTo(0);
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@@ -258,6 +250,8 @@ static void gradientHist(const cv::Mat &src, cv::Mat &magnitude, cv::Mat &histog
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namespace cv
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{
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namespace ximgproc
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{
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class RFFeatureGetterImpl : public RFFeatureGetter
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{
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@@ -325,12 +319,15 @@ Ptr<RFFeatureGetter> createRFFeatureGetter()
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return makePtr<RFFeatureGetterImpl>();
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}
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};
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}
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}
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/********************* StructuredEdgeDetection class *********************/
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namespace cv
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{
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namespace ximgproc
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{
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class StructuredEdgeDetectionImpl : public StructuredEdgeDetection
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{
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@@ -692,3 +689,4 @@ Ptr<StructuredEdgeDetection> createStructuredEdgeDetection(const String &model,
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}
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}
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}
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@@ -10,8 +10,8 @@ TEST(ximpgroc_StructuredEdgeDetection, regression)
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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::StructuredEdgeDetection> pDollar =
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cv::createStructuredEdgeDetection(modelName);
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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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