43 lines
		
	
	
		
			1.3 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			43 lines
		
	
	
		
			1.3 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| #include "perf_precomp.hpp"
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| 
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| using namespace std;
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| using namespace cv;
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| using namespace perf;
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| using std::tr1::make_tuple;
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| using std::tr1::get;
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| 
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| enum { AGAST_5_8 = AgastFeatureDetector::AGAST_5_8, AGAST_7_12d = AgastFeatureDetector::AGAST_7_12d,
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|        AGAST_7_12s = AgastFeatureDetector::AGAST_7_12s, OAST_9_16 = AgastFeatureDetector::OAST_9_16 };
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| CV_ENUM(AgastType, AGAST_5_8, AGAST_7_12d,
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|                    AGAST_7_12s, OAST_9_16)
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| 
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| typedef std::tr1::tuple<string, AgastType> File_Type_t;
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| typedef perf::TestBaseWithParam<File_Type_t> agast;
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| 
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| #define AGAST_IMAGES \
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|     "cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
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|     "stitching/a3.png"
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| 
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| PERF_TEST_P(agast, detect, testing::Combine(
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|                             testing::Values(AGAST_IMAGES),
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|                             AgastType::all()
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|                           ))
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| {
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|     string filename = getDataPath(get<0>(GetParam()));
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|     int type = get<1>(GetParam());
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|     Mat frame = imread(filename, IMREAD_GRAYSCALE);
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| 
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|     if (frame.empty())
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|         FAIL() << "Unable to load source image " << filename;
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| 
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|     declare.in(frame);
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| 
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|     Ptr<FeatureDetector> fd = AgastFeatureDetector::create(70, true, type);
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|     ASSERT_FALSE( fd.empty() );
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|     vector<KeyPoint> points;
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| 
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|     TEST_CYCLE() fd->detect(frame, points);
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| 
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|     SANITY_CHECK_KEYPOINTS(points);
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| }
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