78 lines
2.2 KiB
C++
78 lines
2.2 KiB
C++
#ifndef __OPENCV_PERF_GPU_UTILITY_HPP__
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#define __OPENCV_PERF_GPU_UTILITY_HPP__
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void fill(cv::Mat& m, double a, double b);
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using perf::MatType;
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using perf::MatDepth;
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CV_ENUM(BorderMode, cv::BORDER_REFLECT101, cv::BORDER_REPLICATE, cv::BORDER_CONSTANT, cv::BORDER_REFLECT, cv::BORDER_WRAP)
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CV_ENUM(Interpolation, cv::INTER_NEAREST, cv::INTER_LINEAR, cv::INTER_CUBIC, cv::INTER_AREA)
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CV_ENUM(NormType, cv::NORM_INF, cv::NORM_L1, cv::NORM_L2, cv::NORM_HAMMING)
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struct CvtColorInfo
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{
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int scn;
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int dcn;
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int code;
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explicit CvtColorInfo(int scn_=0, int dcn_=0, int code_=0) : scn(scn_), dcn(dcn_), code(code_) {}
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};
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void PrintTo(const CvtColorInfo& info, std::ostream* os);
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#define IMPLEMENT_PARAM_CLASS(name, type) \
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class name \
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{ \
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public: \
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name ( type arg = type ()) : val_(arg) {} \
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operator type () const {return val_;} \
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private: \
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type val_; \
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}; \
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inline void PrintTo( name param, std::ostream* os) \
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{ \
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*os << #name << " = " << testing::PrintToString(static_cast< type >(param)); \
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}
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IMPLEMENT_PARAM_CLASS(Channels, int)
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namespace cv { namespace gpu
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{
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void PrintTo(const cv::gpu::DeviceInfo& info, std::ostream* os);
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}}
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#define GPU_PERF_TEST(name, ...) \
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struct name : perf::TestBaseWithParam< std::tr1::tuple< __VA_ARGS__ > > \
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{ \
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public: \
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name() {} \
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protected: \
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void PerfTestBody(); \
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}; \
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TEST_P(name, perf){ RunPerfTestBody(); } \
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void name :: PerfTestBody()
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#define GPU_PERF_TEST_1(name, param_type) \
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struct name : perf::TestBaseWithParam< param_type > \
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{ \
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public: \
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name() {} \
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protected: \
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void PerfTestBody(); \
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}; \
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TEST_P(name, perf){ RunPerfTestBody(); } \
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void name :: PerfTestBody()
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#define GPU_TYPICAL_MAT_SIZES testing::Values(perf::szSXGA, perf::sz1080p, cv::Size(1800, 1500))
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cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR);
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const std::vector<cv::gpu::DeviceInfo>& devices();
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#define ALL_DEVICES testing::ValuesIn(devices())
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#define GET_PARAM(k) std::tr1::get< k >(GetParam())
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#endif // __OPENCV_PERF_GPU_UTILITY_HPP__
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