mirror of
https://github.com/opencv/opencv.git
synced 2026-07-30 15:53:03 +04:00
Hid symbols in static builds, added LTO flags, removed exports from ts
This commit is contained in:
Pavel Rojtberg
committed by
Maksim Shabunin
Maksim Shabunin
parent
ef04ca9e0f
commit
6fb9d42c3f
@@ -86,11 +86,11 @@ public:
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SkipTestException(const cv::String& message) : dummy(0) { this->msg = message; }
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};
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class CV_EXPORTS TS;
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class TS;
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CV_EXPORTS int64 readSeed(const char* str);
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int64 readSeed(const char* str);
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CV_EXPORTS void randUni( RNG& rng, Mat& a, const Scalar& param1, const Scalar& param2 );
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void randUni( RNG& rng, Mat& a, const Scalar& param1, const Scalar& param2 );
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inline unsigned randInt( RNG& rng )
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{
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@@ -103,10 +103,10 @@ inline double randReal( RNG& rng )
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}
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CV_EXPORTS const char* getTypeName( int type );
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CV_EXPORTS int typeByName( const char* type_name );
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const char* getTypeName( int type );
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int typeByName( const char* type_name );
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CV_EXPORTS string vec2str(const string& sep, const int* v, size_t nelems);
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string vec2str(const string& sep, const int* v, size_t nelems);
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inline int clipInt( int val, int min_val, int max_val )
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{
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@@ -117,99 +117,99 @@ inline int clipInt( int val, int min_val, int max_val )
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return val;
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}
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CV_EXPORTS double getMinVal(int depth);
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CV_EXPORTS double getMaxVal(int depth);
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double getMinVal(int depth);
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double getMaxVal(int depth);
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CV_EXPORTS Size randomSize(RNG& rng, double maxSizeLog);
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CV_EXPORTS void randomSize(RNG& rng, int minDims, int maxDims, double maxSizeLog, vector<int>& sz);
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CV_EXPORTS int randomType(RNG& rng, int typeMask, int minChannels, int maxChannels);
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CV_EXPORTS Mat randomMat(RNG& rng, Size size, int type, double minVal, double maxVal, bool useRoi);
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CV_EXPORTS Mat randomMat(RNG& rng, const vector<int>& size, int type, double minVal, double maxVal, bool useRoi);
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CV_EXPORTS void add(const Mat& a, double alpha, const Mat& b, double beta,
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Size randomSize(RNG& rng, double maxSizeLog);
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void randomSize(RNG& rng, int minDims, int maxDims, double maxSizeLog, vector<int>& sz);
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int randomType(RNG& rng, int typeMask, int minChannels, int maxChannels);
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Mat randomMat(RNG& rng, Size size, int type, double minVal, double maxVal, bool useRoi);
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Mat randomMat(RNG& rng, const vector<int>& size, int type, double minVal, double maxVal, bool useRoi);
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void add(const Mat& a, double alpha, const Mat& b, double beta,
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Scalar gamma, Mat& c, int ctype, bool calcAbs=false);
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CV_EXPORTS void multiply(const Mat& a, const Mat& b, Mat& c, double alpha=1);
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CV_EXPORTS void divide(const Mat& a, const Mat& b, Mat& c, double alpha=1);
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void multiply(const Mat& a, const Mat& b, Mat& c, double alpha=1);
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void divide(const Mat& a, const Mat& b, Mat& c, double alpha=1);
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CV_EXPORTS void convert(const Mat& src, cv::OutputArray dst, int dtype, double alpha=1, double beta=0);
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CV_EXPORTS void copy(const Mat& src, Mat& dst, const Mat& mask=Mat(), bool invertMask=false);
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CV_EXPORTS void set(Mat& dst, const Scalar& gamma, const Mat& mask=Mat());
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void convert(const Mat& src, cv::OutputArray dst, int dtype, double alpha=1, double beta=0);
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void copy(const Mat& src, Mat& dst, const Mat& mask=Mat(), bool invertMask=false);
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void set(Mat& dst, const Scalar& gamma, const Mat& mask=Mat());
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// working with multi-channel arrays
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CV_EXPORTS void extract( const Mat& a, Mat& plane, int coi );
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CV_EXPORTS void insert( const Mat& plane, Mat& a, int coi );
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void extract( const Mat& a, Mat& plane, int coi );
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void insert( const Mat& plane, Mat& a, int coi );
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// checks that the array does not have NaNs and/or Infs and all the elements are
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// within [min_val,max_val). idx is the index of the first "bad" element.
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CV_EXPORTS int check( const Mat& data, double min_val, double max_val, vector<int>* idx );
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int check( const Mat& data, double min_val, double max_val, vector<int>* idx );
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// modifies values that are close to zero
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CV_EXPORTS void patchZeros( Mat& mat, double level );
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void patchZeros( Mat& mat, double level );
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CV_EXPORTS void transpose(const Mat& src, Mat& dst);
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CV_EXPORTS void erode(const Mat& src, Mat& dst, const Mat& _kernel, Point anchor=Point(-1,-1),
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void transpose(const Mat& src, Mat& dst);
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void erode(const Mat& src, Mat& dst, const Mat& _kernel, Point anchor=Point(-1,-1),
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int borderType=0, const Scalar& borderValue=Scalar());
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CV_EXPORTS void dilate(const Mat& src, Mat& dst, const Mat& _kernel, Point anchor=Point(-1,-1),
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void dilate(const Mat& src, Mat& dst, const Mat& _kernel, Point anchor=Point(-1,-1),
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int borderType=0, const Scalar& borderValue=Scalar());
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CV_EXPORTS void filter2D(const Mat& src, Mat& dst, int ddepth, const Mat& kernel,
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void filter2D(const Mat& src, Mat& dst, int ddepth, const Mat& kernel,
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Point anchor, double delta, int borderType,
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const Scalar& borderValue=Scalar());
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CV_EXPORTS void copyMakeBorder(const Mat& src, Mat& dst, int top, int bottom, int left, int right,
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void copyMakeBorder(const Mat& src, Mat& dst, int top, int bottom, int left, int right,
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int borderType, const Scalar& borderValue=Scalar());
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CV_EXPORTS Mat calcSobelKernel2D( int dx, int dy, int apertureSize, int origin=0 );
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CV_EXPORTS Mat calcLaplaceKernel2D( int aperture_size );
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Mat calcSobelKernel2D( int dx, int dy, int apertureSize, int origin=0 );
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Mat calcLaplaceKernel2D( int aperture_size );
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CV_EXPORTS void initUndistortMap( const Mat& a, const Mat& k, Size sz, Mat& mapx, Mat& mapy );
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void initUndistortMap( const Mat& a, const Mat& k, Size sz, Mat& mapx, Mat& mapy );
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CV_EXPORTS void minMaxLoc(const Mat& src, double* minval, double* maxval,
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void minMaxLoc(const Mat& src, double* minval, double* maxval,
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vector<int>* minloc, vector<int>* maxloc, const Mat& mask=Mat());
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CV_EXPORTS double norm(InputArray src, int normType, InputArray mask=noArray());
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CV_EXPORTS double norm(InputArray src1, InputArray src2, int normType, InputArray mask=noArray());
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CV_EXPORTS Scalar mean(const Mat& src, const Mat& mask=Mat());
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CV_EXPORTS double PSNR(InputArray src1, InputArray src2);
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double norm(InputArray src, int normType, InputArray mask=noArray());
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double norm(InputArray src1, InputArray src2, int normType, InputArray mask=noArray());
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Scalar mean(const Mat& src, const Mat& mask=Mat());
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double PSNR(InputArray src1, InputArray src2);
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CV_EXPORTS bool cmpUlps(const Mat& data, const Mat& refdata, int expMaxDiff, double* realMaxDiff, vector<int>* idx);
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bool cmpUlps(const Mat& data, const Mat& refdata, int expMaxDiff, double* realMaxDiff, vector<int>* idx);
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// compares two arrays. max_diff is the maximum actual difference,
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// success_err_level is maximum allowed difference, idx is the index of the first
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// element for which difference is >success_err_level
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// (or index of element with the maximum difference)
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CV_EXPORTS int cmpEps( const Mat& data, const Mat& refdata, double* max_diff,
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int cmpEps( const Mat& data, const Mat& refdata, double* max_diff,
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double success_err_level, vector<int>* idx,
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bool element_wise_relative_error );
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// a wrapper for the previous function. in case of error prints the message to log file.
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CV_EXPORTS int cmpEps2( TS* ts, const Mat& data, const Mat& refdata, double success_err_level,
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int cmpEps2( TS* ts, const Mat& data, const Mat& refdata, double success_err_level,
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bool element_wise_relative_error, const char* desc );
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CV_EXPORTS int cmpEps2_64f( TS* ts, const double* val, const double* refval, int len,
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int cmpEps2_64f( TS* ts, const double* val, const double* refval, int len,
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double eps, const char* param_name );
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CV_EXPORTS void logicOp(const Mat& src1, const Mat& src2, Mat& dst, char c);
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CV_EXPORTS void logicOp(const Mat& src, const Scalar& s, Mat& dst, char c);
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CV_EXPORTS void min(const Mat& src1, const Mat& src2, Mat& dst);
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CV_EXPORTS void min(const Mat& src, double s, Mat& dst);
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CV_EXPORTS void max(const Mat& src1, const Mat& src2, Mat& dst);
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CV_EXPORTS void max(const Mat& src, double s, Mat& dst);
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void logicOp(const Mat& src1, const Mat& src2, Mat& dst, char c);
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void logicOp(const Mat& src, const Scalar& s, Mat& dst, char c);
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void min(const Mat& src1, const Mat& src2, Mat& dst);
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void min(const Mat& src, double s, Mat& dst);
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void max(const Mat& src1, const Mat& src2, Mat& dst);
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void max(const Mat& src, double s, Mat& dst);
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CV_EXPORTS void compare(const Mat& src1, const Mat& src2, Mat& dst, int cmpop);
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CV_EXPORTS void compare(const Mat& src, double s, Mat& dst, int cmpop);
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CV_EXPORTS void gemm(const Mat& src1, const Mat& src2, double alpha,
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void compare(const Mat& src1, const Mat& src2, Mat& dst, int cmpop);
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void compare(const Mat& src, double s, Mat& dst, int cmpop);
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void gemm(const Mat& src1, const Mat& src2, double alpha,
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const Mat& src3, double beta, Mat& dst, int flags);
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CV_EXPORTS void transform( const Mat& src, Mat& dst, const Mat& transmat, const Mat& shift );
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CV_EXPORTS double crossCorr(const Mat& src1, const Mat& src2);
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CV_EXPORTS void threshold( const Mat& src, Mat& dst, double thresh, double maxval, int thresh_type );
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CV_EXPORTS void minMaxIdx( InputArray _img, double* minVal, double* maxVal,
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void transform( const Mat& src, Mat& dst, const Mat& transmat, const Mat& shift );
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double crossCorr(const Mat& src1, const Mat& src2);
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void threshold( const Mat& src, Mat& dst, double thresh, double maxval, int thresh_type );
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void minMaxIdx( InputArray _img, double* minVal, double* maxVal,
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Point* minLoc, Point* maxLoc, InputArray _mask );
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struct CV_EXPORTS MatInfo
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struct MatInfo
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{
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MatInfo(const Mat& _m) : m(&_m) {}
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const Mat* m;
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};
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CV_EXPORTS std::ostream& operator << (std::ostream& out, const MatInfo& m);
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std::ostream& operator << (std::ostream& out, const MatInfo& m);
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struct CV_EXPORTS MatComparator
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struct MatComparator
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{
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public:
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MatComparator(double maxdiff, int context);
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@@ -228,7 +228,7 @@ public:
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class BaseTest;
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class TS;
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class CV_EXPORTS BaseTest
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class BaseTest
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{
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public:
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// constructor(s) and destructor
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@@ -312,7 +312,7 @@ struct TestInfo
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\*****************************************************************************************/
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// common parameters:
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struct CV_EXPORTS TSParams
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struct TSParams
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{
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TSParams();
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@@ -327,7 +327,7 @@ struct CV_EXPORTS TSParams
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};
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class CV_EXPORTS TS
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class TS
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{
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public:
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// constructor(s) and destructor
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@@ -473,7 +473,7 @@ protected:
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* Subclass of BaseTest for testing functions that process dense arrays *
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\*****************************************************************************************/
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class CV_EXPORTS ArrayTest : public BaseTest
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class ArrayTest : public BaseTest
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{
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public:
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// constructor(s) and destructor
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@@ -510,7 +510,7 @@ protected:
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};
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class CV_EXPORTS BadArgTest : public BaseTest
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class BadArgTest : public BaseTest
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{
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public:
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// constructor(s) and destructor
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@@ -564,7 +564,7 @@ protected:
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extern uint64 param_seed;
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struct CV_EXPORTS DefaultRngAuto
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struct DefaultRngAuto
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{
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const uint64 old_state;
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@@ -576,16 +576,16 @@ struct CV_EXPORTS DefaultRngAuto
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// test images generation functions
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CV_EXPORTS void fillGradient(Mat& img, int delta = 5);
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CV_EXPORTS void smoothBorder(Mat& img, const Scalar& color, int delta = 3);
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void fillGradient(Mat& img, int delta = 5);
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void smoothBorder(Mat& img, const Scalar& color, int delta = 3);
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CV_EXPORTS void printVersionInfo(bool useStdOut = true);
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void printVersionInfo(bool useStdOut = true);
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// Utility functions
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CV_EXPORTS void addDataSearchPath(const std::string& path);
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CV_EXPORTS void addDataSearchSubDirectory(const std::string& subdir);
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void addDataSearchPath(const std::string& path);
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void addDataSearchSubDirectory(const std::string& subdir);
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/*! @brief Try to find requested data file
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@@ -603,7 +603,7 @@ CV_EXPORTS void addDataSearchSubDirectory(const std::string& subdir);
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- modulename from TS::init()
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*/
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CV_EXPORTS std::string findDataFile(const std::string& relative_path, bool required = true);
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std::string findDataFile(const std::string& relative_path, bool required = true);
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#ifndef __CV_TEST_EXEC_ARGS
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@@ -88,7 +88,7 @@ namespace perf
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SANITY_CHECK(cpu_##mat, ## __VA_ARGS__); \
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} while(0)
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CV_EXPORTS cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR);
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cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR);
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struct CvtColorInfo
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{
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@@ -99,11 +99,11 @@ namespace perf
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CvtColorInfo() {}
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explicit CvtColorInfo(int scn_, int dcn_, int code_) : scn(scn_), dcn(dcn_), code(code_) {}
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};
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CV_EXPORTS void PrintTo(const CvtColorInfo& info, std::ostream* os);
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void PrintTo(const CvtColorInfo& info, std::ostream* os);
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CV_EXPORTS void printCudaInfo();
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void printCudaInfo();
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CV_EXPORTS void sortKeyPoints(std::vector<cv::KeyPoint>& keypoints, cv::InputOutputArray _descriptors = cv::noArray());
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void sortKeyPoints(std::vector<cv::KeyPoint>& keypoints, cv::InputOutputArray _descriptors = cv::noArray());
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#ifdef HAVE_CUDA
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#define CV_PERF_TEST_CUDA_MAIN(modulename) \
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@@ -53,34 +53,34 @@ namespace cvtest
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//////////////////////////////////////////////////////////////////////
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// random generators
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CV_EXPORTS int randomInt(int minVal, int maxVal);
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CV_EXPORTS double randomDouble(double minVal, double maxVal);
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CV_EXPORTS cv::Size randomSize(int minVal, int maxVal);
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CV_EXPORTS cv::Scalar randomScalar(double minVal, double maxVal);
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CV_EXPORTS cv::Mat randomMat(cv::Size size, int type, double minVal = 0.0, double maxVal = 255.0);
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int randomInt(int minVal, int maxVal);
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double randomDouble(double minVal, double maxVal);
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cv::Size randomSize(int minVal, int maxVal);
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cv::Scalar randomScalar(double minVal, double maxVal);
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cv::Mat randomMat(cv::Size size, int type, double minVal = 0.0, double maxVal = 255.0);
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//////////////////////////////////////////////////////////////////////
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// GpuMat create
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CV_EXPORTS cv::cuda::GpuMat createMat(cv::Size size, int type, bool useRoi = false);
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CV_EXPORTS cv::cuda::GpuMat loadMat(const cv::Mat& m, bool useRoi = false);
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cv::cuda::GpuMat createMat(cv::Size size, int type, bool useRoi = false);
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cv::cuda::GpuMat loadMat(const cv::Mat& m, bool useRoi = false);
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//////////////////////////////////////////////////////////////////////
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// Image load
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//! read image from testdata folder
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CV_EXPORTS cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR);
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cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR);
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//! read image from testdata folder and convert it to specified type
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CV_EXPORTS cv::Mat readImageType(const std::string& fname, int type);
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cv::Mat readImageType(const std::string& fname, int type);
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//////////////////////////////////////////////////////////////////////
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// Gpu devices
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//! return true if device supports specified feature and gpu module was built with support the feature.
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CV_EXPORTS bool supportFeature(const cv::cuda::DeviceInfo& info, cv::cuda::FeatureSet feature);
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bool supportFeature(const cv::cuda::DeviceInfo& info, cv::cuda::FeatureSet feature);
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class CV_EXPORTS DeviceManager
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class DeviceManager
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{
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public:
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static DeviceManager& instance();
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@@ -99,11 +99,11 @@ namespace cvtest
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//////////////////////////////////////////////////////////////////////
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// Additional assertion
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CV_EXPORTS void minMaxLocGold(const cv::Mat& src, double* minVal_, double* maxVal_ = 0, cv::Point* minLoc_ = 0, cv::Point* maxLoc_ = 0, const cv::Mat& mask = cv::Mat());
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void minMaxLocGold(const cv::Mat& src, double* minVal_, double* maxVal_ = 0, cv::Point* minLoc_ = 0, cv::Point* maxLoc_ = 0, const cv::Mat& mask = cv::Mat());
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CV_EXPORTS cv::Mat getMat(cv::InputArray arr);
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cv::Mat getMat(cv::InputArray arr);
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CV_EXPORTS testing::AssertionResult assertMatNear(const char* expr1, const char* expr2, const char* eps_expr, cv::InputArray m1, cv::InputArray m2, double eps);
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testing::AssertionResult assertMatNear(const char* expr1, const char* expr2, const char* eps_expr, cv::InputArray m1, cv::InputArray m2, double eps);
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#undef EXPECT_MAT_NEAR
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#define EXPECT_MAT_NEAR(m1, m2, eps) EXPECT_PRED_FORMAT3(cvtest::assertMatNear, m1, m2, eps)
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@@ -148,7 +148,7 @@ namespace cvtest
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ASSERT_NEAR(p1.z, p2.z, eps); \
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}
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CV_EXPORTS double checkSimilarity(cv::InputArray m1, cv::InputArray m2);
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double checkSimilarity(cv::InputArray m1, cv::InputArray m2);
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#undef EXPECT_MAT_SIMILAR
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#define EXPECT_MAT_SIMILAR(mat1, mat2, eps) \
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@@ -248,10 +248,10 @@ namespace cvtest
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using perf::MatType;
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//! return vector with types from specified range.
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CV_EXPORTS std::vector<MatType> types(int depth_start, int depth_end, int cn_start, int cn_end);
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std::vector<MatType> types(int depth_start, int depth_end, int cn_start, int cn_end);
|
||||
|
||||
//! return vector with all types (depth: CV_8U-CV_64F, channels: 1-4).
|
||||
CV_EXPORTS const std::vector<MatType>& all_types();
|
||||
const std::vector<MatType>& all_types();
|
||||
|
||||
#define ALL_TYPES testing::ValuesIn(all_types())
|
||||
#define TYPES(depth_start, depth_end, cn_start, cn_end) testing::ValuesIn(types(depth_start, depth_end, cn_start, cn_end))
|
||||
@@ -269,7 +269,7 @@ namespace cvtest
|
||||
bool val_;
|
||||
};
|
||||
|
||||
CV_EXPORTS void PrintTo(const UseRoi& useRoi, std::ostream* os);
|
||||
void PrintTo(const UseRoi& useRoi, std::ostream* os);
|
||||
|
||||
#define WHOLE_SUBMAT testing::Values(UseRoi(false), UseRoi(true))
|
||||
|
||||
@@ -286,7 +286,7 @@ namespace cvtest
|
||||
bool val_;
|
||||
};
|
||||
|
||||
CV_EXPORTS void PrintTo(const Inverse& useRoi, std::ostream* os);
|
||||
void PrintTo(const Inverse& useRoi, std::ostream* os);
|
||||
|
||||
#define DIRECT_INVERSE testing::Values(Inverse(false), Inverse(true))
|
||||
|
||||
@@ -325,26 +325,26 @@ namespace cvtest
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Features2D
|
||||
|
||||
CV_EXPORTS testing::AssertionResult assertKeyPointsEquals(const char* gold_expr, const char* actual_expr, std::vector<cv::KeyPoint>& gold, std::vector<cv::KeyPoint>& actual);
|
||||
testing::AssertionResult assertKeyPointsEquals(const char* gold_expr, const char* actual_expr, std::vector<cv::KeyPoint>& gold, std::vector<cv::KeyPoint>& actual);
|
||||
|
||||
#define ASSERT_KEYPOINTS_EQ(gold, actual) EXPECT_PRED_FORMAT2(assertKeyPointsEquals, gold, actual)
|
||||
|
||||
CV_EXPORTS int getMatchedPointsCount(std::vector<cv::KeyPoint>& gold, std::vector<cv::KeyPoint>& actual);
|
||||
CV_EXPORTS int getMatchedPointsCount(const std::vector<cv::KeyPoint>& keypoints1, const std::vector<cv::KeyPoint>& keypoints2, const std::vector<cv::DMatch>& matches);
|
||||
int getMatchedPointsCount(std::vector<cv::KeyPoint>& gold, std::vector<cv::KeyPoint>& actual);
|
||||
int getMatchedPointsCount(const std::vector<cv::KeyPoint>& keypoints1, const std::vector<cv::KeyPoint>& keypoints2, const std::vector<cv::DMatch>& matches);
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Other
|
||||
|
||||
CV_EXPORTS void dumpImage(const std::string& fileName, const cv::Mat& image);
|
||||
CV_EXPORTS void showDiff(cv::InputArray gold, cv::InputArray actual, double eps);
|
||||
void dumpImage(const std::string& fileName, const cv::Mat& image);
|
||||
void showDiff(cv::InputArray gold, cv::InputArray actual, double eps);
|
||||
|
||||
CV_EXPORTS void parseCudaDeviceOptions(int argc, char **argv);
|
||||
CV_EXPORTS void printCudaInfo();
|
||||
void parseCudaDeviceOptions(int argc, char **argv);
|
||||
void printCudaInfo();
|
||||
}
|
||||
|
||||
namespace cv { namespace cuda
|
||||
{
|
||||
CV_EXPORTS void PrintTo(const DeviceInfo& info, std::ostream* os);
|
||||
void PrintTo(const DeviceInfo& info, std::ostream* os);
|
||||
}}
|
||||
|
||||
#ifdef HAVE_CUDA
|
||||
|
||||
@@ -119,11 +119,11 @@ using namespace perf;
|
||||
namespace perf {
|
||||
|
||||
// Check for current device limitation
|
||||
CV_EXPORTS void checkDeviceMaxMemoryAllocSize(const Size& size, int type, int factor = 1);
|
||||
void checkDeviceMaxMemoryAllocSize(const Size& size, int type, int factor = 1);
|
||||
|
||||
// Initialize Mat with random numbers. Range is depends on the data type.
|
||||
// TODO Parameter type is actually OutputArray
|
||||
CV_EXPORTS void randu(InputOutputArray dst);
|
||||
void randu(InputOutputArray dst);
|
||||
|
||||
inline void safeFinish()
|
||||
{
|
||||
|
||||
@@ -105,10 +105,10 @@ do \
|
||||
#define EXPECT_MAT_NEAR_RELATIVE(mat1, mat2, eps) \
|
||||
do \
|
||||
{ \
|
||||
ASSERT_EQ(mat1.type(), mat2.type()); \
|
||||
ASSERT_EQ(mat1.size(), mat2.size()); \
|
||||
EXPECT_LE(TestUtils::checkNormRelative(mat1, mat2), eps) \
|
||||
<< "Size: " << mat1.size() << std::endl; \
|
||||
ASSERT_EQ((mat1).type(), (mat2).type()); \
|
||||
ASSERT_EQ((mat1).size(), (mat2).size()); \
|
||||
EXPECT_LE(TestUtils::checkNormRelative((mat1), (mat2)), eps) \
|
||||
<< "Size: " << (mat1).size() << std::endl; \
|
||||
} while ((void)0, 0)
|
||||
|
||||
#define EXPECT_MAT_N_DIFF(mat1, mat2, num) \
|
||||
@@ -192,7 +192,7 @@ using perf::MatType;
|
||||
|
||||
#define OCL_RNG_SEED 123456
|
||||
|
||||
struct CV_EXPORTS TestUtils
|
||||
struct TestUtils
|
||||
{
|
||||
cv::RNG rng;
|
||||
|
||||
@@ -319,7 +319,7 @@ do \
|
||||
#define UMAT_UPLOAD_OUTPUT_PARAMETER(name) UMAT_UPLOAD_INPUT_PARAMETER(name)
|
||||
|
||||
template <typename T>
|
||||
struct CV_EXPORTS TSTestWithParam : public TestUtils, public ::testing::TestWithParam<T>
|
||||
struct TSTestWithParam : public TestUtils, public ::testing::TestWithParam<T>
|
||||
{
|
||||
|
||||
};
|
||||
|
||||
@@ -2295,7 +2295,7 @@ using ::std::tuple_size;
|
||||
#endif // _MSC_VER
|
||||
|
||||
#ifndef GTEST_API_
|
||||
# define GTEST_API_ CV_EXPORTS
|
||||
# define GTEST_API_
|
||||
#endif
|
||||
|
||||
#ifdef __GNUC__
|
||||
|
||||
@@ -172,7 +172,7 @@ enum ERROR_TYPE
|
||||
ERROR_RELATIVE = 1
|
||||
};
|
||||
|
||||
class CV_EXPORTS Regression
|
||||
class Regression
|
||||
{
|
||||
public:
|
||||
static Regression& add(TestBase* test, const std::string& name, cv::InputArray array, double eps = DBL_EPSILON, ERROR_TYPE err = ERROR_ABSOLUTE);
|
||||
@@ -219,7 +219,7 @@ private:
|
||||
#define SANITY_CHECK_MATCHES(array, ...) ::perf::Regression::addMatches(this, #array, array , ## __VA_ARGS__)
|
||||
#define SANITY_CHECK_NOTHING() this->setVerified()
|
||||
|
||||
class CV_EXPORTS GpuPerf
|
||||
class GpuPerf
|
||||
{
|
||||
public:
|
||||
static bool targetDevice();
|
||||
@@ -230,7 +230,7 @@ public:
|
||||
/*****************************************************************************************\
|
||||
* Container for performance metrics *
|
||||
\*****************************************************************************************/
|
||||
typedef struct CV_EXPORTS performance_metrics
|
||||
typedef struct performance_metrics
|
||||
{
|
||||
size_t bytesIn;
|
||||
size_t bytesOut;
|
||||
@@ -372,7 +372,7 @@ public:
|
||||
};
|
||||
#endif
|
||||
|
||||
class CV_EXPORTS TestBase: public ::testing::Test
|
||||
class TestBase: public ::testing::Test
|
||||
{
|
||||
public:
|
||||
TestBase();
|
||||
@@ -463,7 +463,7 @@ private:
|
||||
static cv::Size getSize(cv::InputArray a);
|
||||
static void declareArray(SizeVector& sizes, cv::InputOutputArray a, WarmUpType wtype);
|
||||
|
||||
class CV_EXPORTS _declareHelper
|
||||
class _declareHelper
|
||||
{
|
||||
public:
|
||||
_declareHelper& in(cv::InputOutputArray a1, WarmUpType wtype = WARMUP_READ);
|
||||
@@ -507,15 +507,15 @@ typedef TestBaseWithParam<Size_MatType_t> Size_MatType;
|
||||
/*****************************************************************************************\
|
||||
* Print functions for googletest *
|
||||
\*****************************************************************************************/
|
||||
CV_EXPORTS void PrintTo(const MatType& t, std::ostream* os);
|
||||
void PrintTo(const MatType& t, std::ostream* os);
|
||||
|
||||
} //namespace perf
|
||||
|
||||
namespace cv
|
||||
{
|
||||
|
||||
CV_EXPORTS void PrintTo(const String& str, ::std::ostream* os);
|
||||
CV_EXPORTS void PrintTo(const Size& sz, ::std::ostream* os);
|
||||
void PrintTo(const String& str, ::std::ostream* os);
|
||||
void PrintTo(const Size& sz, ::std::ostream* os);
|
||||
|
||||
} //namespace cv
|
||||
|
||||
@@ -706,7 +706,7 @@ namespace comparators
|
||||
{
|
||||
|
||||
template<typename T>
|
||||
struct CV_EXPORTS RectLess_ :
|
||||
struct RectLess_ :
|
||||
public std::binary_function<cv::Rect_<T>, cv::Rect_<T>, bool>
|
||||
{
|
||||
bool operator()(const cv::Rect_<T>& r1, const cv::Rect_<T>& r2) const
|
||||
@@ -720,7 +720,7 @@ struct CV_EXPORTS RectLess_ :
|
||||
|
||||
typedef RectLess_<int> RectLess;
|
||||
|
||||
struct CV_EXPORTS KeypointGreater :
|
||||
struct KeypointGreater :
|
||||
public std::binary_function<cv::KeyPoint, cv::KeyPoint, bool>
|
||||
{
|
||||
bool operator()(const cv::KeyPoint& kp1, const cv::KeyPoint& kp2) const
|
||||
@@ -739,7 +739,7 @@ struct CV_EXPORTS KeypointGreater :
|
||||
|
||||
} //namespace comparators
|
||||
|
||||
void CV_EXPORTS sort(std::vector<cv::KeyPoint>& pts, cv::InputOutputArray descriptors);
|
||||
void sort(std::vector<cv::KeyPoint>& pts, cv::InputOutputArray descriptors);
|
||||
} //namespace perf
|
||||
|
||||
#endif //OPENCV_TS_PERF_HPP
|
||||
|
||||
Reference in New Issue
Block a user