opencv/modules/gpu/perf_cpu/perf_utility.hpp

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