48 lines
		
	
	
		
			1.3 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			48 lines
		
	
	
		
			1.3 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| #include "../perf_precomp.hpp"
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| #include "opencv2/ts/ocl_perf.hpp"
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| 
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| #ifdef HAVE_OPENCL
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| 
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| namespace cvtest {
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| namespace ocl {
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| 
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| enum { TYPE_5_8 =FastFeatureDetector::TYPE_5_8, TYPE_7_12 = FastFeatureDetector::TYPE_7_12, TYPE_9_16 = FastFeatureDetector::TYPE_9_16 };
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| CV_ENUM(FastType, TYPE_5_8, TYPE_7_12)
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| 
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| typedef std::tr1::tuple<string, FastType> File_Type_t;
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| typedef TestBaseWithParam<File_Type_t> FASTFixture;
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| 
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| #define FAST_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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| OCL_PERF_TEST_P(FASTFixture, FastDetect, testing::Combine(
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|                             testing::Values(FAST_IMAGES),
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|                             FastType::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 mframe = imread(filename, IMREAD_GRAYSCALE);
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| 
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|     if (mframe.empty())
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|         FAIL() << "Unable to load source image " << filename;
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| 
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|     UMat frame;
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|     mframe.copyTo(frame);
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|     declare.in(frame);
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| 
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|     Ptr<FeatureDetector> fd = FastFeatureDetector::create(20, 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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|     OCL_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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| 
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| } // ocl
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| } // cvtest
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| 
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| #endif // HAVE_OPENCL
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