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Open Source Computer Vision Library
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81 lines
4.2 KiB
81 lines
4.2 KiB
#ifndef __OPENCV_PERF_GPU_UTILITY_HPP__ |
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#define __OPENCV_PERF_GPU_UTILITY_HPP__ |
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#include <iosfwd> |
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#include "opencv2/ts/ts.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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#include "opencv2/gpu/gpu.hpp" |
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using namespace std; |
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using namespace cv; |
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using namespace cv::gpu; |
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using namespace perf; |
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enum {HORIZONTAL_AXIS = 0, VERTICAL_AXIS = 1, BOTH_AXIS = -1}; |
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CV_ENUM(MorphOp, MORPH_ERODE, MORPH_DILATE) |
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CV_ENUM(BorderMode, BORDER_REFLECT101, BORDER_REPLICATE, BORDER_CONSTANT, BORDER_REFLECT, BORDER_WRAP) |
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CV_ENUM(FlipCode, HORIZONTAL_AXIS, VERTICAL_AXIS, BOTH_AXIS) |
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CV_ENUM(CmpOp, CMP_EQ, CMP_GT, CMP_GE, CMP_LT, CMP_LE, CMP_NE) |
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CV_ENUM(Interpolation, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC) |
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CV_ENUM(MatchMethod, TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED, TM_CCOEFF, TM_CCOEFF_NORMED) |
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CV_ENUM(NormType, NORM_INF, NORM_L1, NORM_L2) |
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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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typedef TestBaseWithParam<DeviceInfo> DevInfo; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size> > DevInfo_Size; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, MatType> > DevInfo_MatType; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType> > DevInfo_Size_MatType; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType, MatType> > DevInfo_Size_MatType_MatType; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType, int> > DevInfo_Size_MatType_KernelSize; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType, MorphOp, int> > DevInfo_Size_MatType_MorphOp_KernelSize; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType, int, BorderMode> > DevInfo_Size_MatType_KernelSize_BorderMode; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType, FlipCode> > DevInfo_Size_MatType_FlipCode; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType, CmpOp> > DevInfo_Size_MatType_CmpOp; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType, Interpolation> > DevInfo_Size_MatType_Interpolation; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType, Interpolation, double> > DevInfo_Size_MatType_Interpolation_SizeCoeff; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType, Interpolation, BorderMode> > DevInfo_Size_MatType_Interpolation_BorderMode; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType, CvtColorInfo> > DevInfo_Size_MatType_CvtColorInfo; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType, MatchMethod> > DevInfo_Size_MatType_MatchMethod; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, NormType> > DevInfo_Size_NormType; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType, NormType> > DevInfo_Size_MatType_NormType; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, int> > DevInfo_DescSize; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, int, int> > DevInfo_K_DescSize; |
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typedef TestBaseWithParam< std::tr1::tuple<DeviceInfo, Size, MatType, BorderMode> > DevInfo_Size_MatType_BorderMode; |
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const cv::Size sz1800x1500 = cv::Size(1800, 1500); |
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const cv::Size sz4700x3000 = cv::Size(4700, 3000); |
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//#define GPU_TYPICAL_MAT_SIZES szXGA, szSXGA, sz720p, sz1080p, sz1800x1500, sz4700x3000 |
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#define GPU_TYPICAL_MAT_SIZES szSXGA, sz1080p, sz4700x3000 |
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//! read image from testdata folder. |
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Mat readImage(const string& fileName, int flags = CV_LOAD_IMAGE_COLOR); |
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//! return true if device supports specified feature and gpu module was built with support the feature. |
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bool supportFeature(const cv::gpu::DeviceInfo& info, cv::gpu::FeatureSet feature); |
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//! return all devices compatible with current gpu module build. |
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const std::vector<cv::gpu::DeviceInfo>& devices(); |
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//! return all devices compatible with current gpu module build which support specified feature. |
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std::vector<cv::gpu::DeviceInfo> devices(cv::gpu::FeatureSet feature); |
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namespace cv |
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{ |
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namespace gpu |
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{ |
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void PrintTo(const DeviceInfo& info, ::std::ostream* os); |
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} |
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} |
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void PrintTo(const CvtColorInfo& info, ::std::ostream* os); |
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#endif // __OPENCV_PERF_GPU_UTILITY_HPP__
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