optimized cv::normalize in case of mask
This commit is contained in:
@@ -240,7 +240,7 @@ CV_EXPORTS_W void batchDistance(InputArray src1, InputArray src2,
|
||||
bool crosscheck = false);
|
||||
|
||||
//! scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values
|
||||
CV_EXPORTS_W void normalize( InputArray src, OutputArray dst, double alpha = 1, double beta = 0,
|
||||
CV_EXPORTS_W void normalize( InputArray src, InputOutputArray dst, double alpha = 1, double beta = 0,
|
||||
int norm_type = NORM_L2, int dtype = -1, InputArray mask = noArray());
|
||||
|
||||
//! scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values
|
||||
|
@@ -131,6 +131,7 @@ public:
|
||||
virtual bool isSubmatrix(int i=-1) const;
|
||||
virtual bool empty() const;
|
||||
virtual void copyTo(const _OutputArray& arr) const;
|
||||
virtual void copyTo(const _OutputArray& arr, const _InputArray & mask) const;
|
||||
virtual size_t offset(int i=-1) const;
|
||||
virtual size_t step(int i=-1) const;
|
||||
bool isMat() const;
|
||||
|
Reference in New Issue
Block a user