call HAL for GaussianBlur is fixed

modules/imgproc/src/hal_replacement.hpp

@@ -670,12 +670,12 @@ inline int hal_ni_threshold(const uchar* src_data, size_t src_step, uchar* dst_d
    @param src_data,src_step Source image
    @param dst_data,dst_step Destination image
    @param width,height Source image dimensions
+   @param cn Number of channels
    @param margins Margins for source image
    @param ksize Size of kernel
    @param anchor Anchor point
    @param normalize If true then result is normalized
    @param border_type Border type
-   @param cn Number of channels
 */
 inline int hal_ni_boxFilter(int src_depth, int dst_depth, const uchar* src_data, size_t src_step, uchar* dst_data, size_t dst_step, int width, int height, int cn, CvRect margins, CvSize ksize, CvPoint anchor, bool normalize, int border_type) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
 
@@ -685,15 +685,15 @@ inline int hal_ni_boxFilter(int src_depth, int dst_depth, const uchar* src_data,
 
 /**
    @brief Blurs an image using a Gaussian filter.
-   @param src_depth,dst_depth Depths of source and destination image
+   @param depth Depth 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 cn Number of channels
    @param margins Margins for source image
    @param ksize Size of kernel
    @param sigmaX,sigmaY Gaussian kernel standard deviation.
    @param border_type Border type
-   @param cn Number of channels
 */
 inline int hal_ni_gaussianBlur(int depth, const uchar* src_data, size_t src_step, uchar* dst_data, size_t dst_step, int width, int height, int cn, CvRect margins, CvSize ksize, double sigmaX, double sigmaY, int border_type) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
 

modules/imgproc/src/smooth.cpp

@@ -2102,9 +2102,10 @@ void cv::GaussianBlur( InputArray _src, OutputArray _dst, Size ksize,
     CV_OVX_RUN(true,
                openvx_gaussianBlur(_src, _dst, ksize, sigma1, sigma2, borderType))
 
-#ifdef HAVE_TEGRA_OPTIMIZATION
     Mat src = _src.getMat();
     Mat dst = _dst.getMat();
+
+#ifdef HAVE_TEGRA_OPTIMIZATION
     if(sigma1 == 0 && sigma2 == 0 && tegra::useTegra() && tegra::gaussian(src, dst, ksize, borderType))
         return;
 #endif
@@ -2114,9 +2115,6 @@ void cv::GaussianBlur( InputArray _src, OutputArray _dst, Size ksize,
                _src.rows() > ksize.height && _src.cols() > ksize.width);
     (void)useOpenCL;
 
-    Mat src = _src.getMat();
-    Mat dst = _dst.getMat();
-
     int sdepth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
 
     Point ofs;
@@ -2130,6 +2128,9 @@ void cv::GaussianBlur( InputArray _src, OutputArray _dst, Size ksize,
     CALL_HAL(gaussianBlur, cv_hal_gaussianBlur, sdepth, src.ptr(), src.step, dst.ptr(), dst.step, src.cols, src.rows, cn,
              margin, (CvSize)(ksize), sigma1, sigma2, borderType);
 
+    src.release();
+    dst.release();
+
     CV_IPP_RUN(!useOpenCL, ipp_GaussianBlur( _src,  _dst,  ksize, sigma1,  sigma2, borderType));
 
     Mat kx, ky;