/**
@brief Calculate medianBlur filter
- @param depth Depths of source and destination image
@param src_data,src_step Source image
@param dst_data,dst_step Destination image
@param width,height Source image dimensions
+ @param depth Depths of source and destination image
@param cn Number of channels
@param ksize Size of kernel
*/
-inline int hal_ni_medianBlur(int depth, const uchar* src_data, size_t src_step, uchar* dst_data, size_t dst_step, int width, int height, int cn, int ksize) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
+inline int hal_ni_medianBlur(const uchar* src_data, size_t src_step, uchar* dst_data, size_t dst_step, int width, int height, int depth, int cn, int ksize) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
//! @cond IGNORED
#define cv_hal_medianBlur hal_ni_medianBlur
_dst.create( src0.size(), src0.type() );
Mat dst = _dst.getMat();
- CALL_HAL(medianBlur, cv_hal_medianBlur, src0.depth(), src0.data, src0.step, dst.data, dst.step, src0.cols, src0.rows,
+ CALL_HAL(medianBlur, cv_hal_medianBlur, src0.data, src0.step, dst.data, dst.step, src0.cols, src0.rows, src0.depth(),
src0.channels(), ksize);
CV_OVX_RUN(true,