Moved size restrictions for OpenVX processed images to corresponding cpp files

modules/core/include/opencv2/core/openvx/ovx_defs.hpp

@@ -26,15 +26,6 @@ namespace ovx{
 CV_EXPORTS_W ivx::Context& getOpenVXContext();
 
 template <int kernel_id> inline bool skipSmallImages(int w, int h)     { return w*h < 3840 * 2160; }
-template <> inline bool skipSmallImages<VX_KERNEL_MINMAXLOC>(int w, int h) { return w*h < 3840 * 2160; }
-template <> inline bool skipSmallImages<VX_KERNEL_MEDIAN_3x3>(int w, int h) { return w*h < 1280 * 720; }
-template <> inline bool skipSmallImages<VX_KERNEL_GAUSSIAN_3x3>(int w, int h) { return w*h < 320 * 240; }
-template <> inline bool skipSmallImages<VX_KERNEL_BOX_3x3>(int w, int h) { return w*h < 640 * 480; }
-template <> inline bool skipSmallImages<VX_KERNEL_HISTOGRAM>(int w, int h) { return w*h < 2048 * 1536; }
-template <> inline bool skipSmallImages<VX_KERNEL_SOBEL_3x3>(int w, int h) { return w*h < 320 * 240; }
-template <> inline bool skipSmallImages<VX_KERNEL_CANNY_EDGE_DETECTOR>(int w, int h) { return w*h < 640 * 480; }
-template <> inline bool skipSmallImages<VX_KERNEL_ACCUMULATE>(int w, int h) { return w*h < 120 * 60; }
-template <> inline bool skipSmallImages<VX_KERNEL_FAST_CORNERS>(int w, int h) { return w*h < 800 * 600; }
 }}
 
 #define CV_OVX_RUN(condition, func, ...)          \

modules/core/src/stat.cpp

@@ -2300,6 +2300,9 @@ static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int*
 #endif
 
 #ifdef HAVE_OPENVX
+namespace ovx {
+    template <> inline bool skipSmallImages<VX_KERNEL_MINMAXLOC>(int w, int h) { return w*h < 3840 * 2160; }
+}
 static bool openvx_minMaxIdx(Mat &src, double* minVal, double* maxVal, int* minIdx, int* maxIdx, Mat &mask)
 {
     int stype = src.type();

modules/features2d/src/fast.cpp

@@ -338,6 +338,9 @@ static bool ocl_FAST( InputArray _img, std::vector<KeyPoint>& keypoints,
 
 
 #ifdef HAVE_OPENVX
+namespace ovx {
+    template <> inline bool skipSmallImages<VX_KERNEL_FAST_CORNERS>(int w, int h) { return w*h < 800 * 600; }
+}
 static bool openvx_FAST(InputArray _img, std::vector<KeyPoint>& keypoints,
                         int _threshold, bool nonmaxSuppression, int type)
 {

modules/imgproc/src/accum.cpp

@@ -1942,6 +1942,9 @@ enum
     VX_ACCUMULATE_WEIGHTED_OP = 2
 };
 
+namespace ovx {
+    template <> inline bool skipSmallImages<VX_KERNEL_ACCUMULATE>(int w, int h) { return w*h < 120 * 60; }
+}
 static bool openvx_accumulate(InputArray _src, InputOutputArray _dst, InputArray _mask, double _weight, int opType)
 {
     Mat srcMat = _src.getMat(), dstMat = _dst.getMat();

modules/imgproc/src/canny.cpp

@@ -778,6 +778,9 @@ private:
 };
 
 #ifdef HAVE_OPENVX
+namespace ovx {
+    template <> inline bool skipSmallImages<VX_KERNEL_CANNY_EDGE_DETECTOR>(int w, int h) { return w*h < 640 * 480; }
+}
 static bool openvx_canny(const Mat& src, Mat& dst, int loVal, int hiVal, int kSize, bool useL2)
 {
     using namespace ivx;

modules/imgproc/src/deriv.cpp

@@ -184,6 +184,9 @@ cv::Ptr<cv::FilterEngine> cv::createDerivFilter(int srcType, int dstType,
 #ifdef HAVE_OPENVX
 namespace cv
 {
+    namespace ovx {
+        template <> inline bool skipSmallImages<VX_KERNEL_SOBEL_3x3>(int w, int h) { return w*h < 320 * 240; }
+    }
     static bool openvx_sobel(InputArray _src, OutputArray _dst,
                              int dx, int dy, int ksize,
                              double scale, double delta, int borderType)

modules/imgproc/src/histogram.cpp

@@ -1267,6 +1267,9 @@ private:
 #ifdef HAVE_OPENVX
 namespace cv
 {
+    namespace ovx {
+        template <> inline bool skipSmallImages<VX_KERNEL_HISTOGRAM>(int w, int h) { return w*h < 2048 * 1536; }
+    }
     static bool openvx_calchist(const Mat& image, OutputArray _hist, const int histSize,
         const float* _range)
     {

modules/imgproc/src/smooth.cpp

@@ -1639,6 +1639,9 @@ cv::Ptr<cv::FilterEngine> cv::createBoxFilter( int srcType, int dstType, Size ks
 #ifdef HAVE_OPENVX
 namespace cv
 {
+    namespace ovx {
+        template <> inline bool skipSmallImages<VX_KERNEL_BOX_3x3>(int w, int h) { return w*h < 640 * 480; }
+    }
     static bool openvx_boxfilter(InputArray _src, OutputArray _dst, int ddepth,
                                  Size ksize, Point anchor,
                                  bool normalize, int borderType)
@@ -2172,6 +2175,9 @@ static bool ocl_GaussianBlur_8UC1(InputArray _src, OutputArray _dst, Size ksize,
 
 #ifdef HAVE_OPENVX
 
+namespace ovx {
+    template <> inline bool skipSmallImages<VX_KERNEL_GAUSSIAN_3x3>(int w, int h) { return w*h < 320 * 240; }
+}
 static bool openvx_gaussianBlur(InputArray _src, OutputArray _dst, Size ksize,
                                 double sigma1, double sigma2, int borderType)
 {
@@ -3302,6 +3308,9 @@ static bool ocl_medianFilter(InputArray _src, OutputArray _dst, int m)
 #ifdef HAVE_OPENVX
 namespace cv
 {
+    namespace ovx {
+        template <> inline bool skipSmallImages<VX_KERNEL_MEDIAN_3x3>(int w, int h) { return w*h < 1280 * 720; }
+    }
     static bool openvx_medianFilter(InputArray _src, OutputArray _dst, int ksize)
     {
         if (_src.type() != CV_8UC1 || _dst.type() != CV_8U