From: Elena Gvozdeva <elena.gvozdeva@itseez.com>
Date: Thu, 16 Jan 2014 10:26:48 +0000 (+0400)
Subject: fixed
X-Git-Tag: submit/tizen_ivi/20141117.190038~2^2~694^2~8
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=47b572f99f4f818ac4cc3ac8c7ac50228aa64a0d;p=profile%2Fivi%2Fopencv.git

fixed
---

diff --git a/modules/imgproc/src/templmatch.cpp b/modules/imgproc/src/templmatch.cpp
index 1abb8fb..ae10cd9 100644
--- a/modules/imgproc/src/templmatch.cpp
+++ b/modules/imgproc/src/templmatch.cpp
@@ -45,17 +45,17 @@
 //////////////////////////////////////////////////matchTemplate//////////////////////////////////////////////////////////
 namespace cv
 {
-    static bool matchTemplate_CCORR(const UMat &image, const UMat &templ, UMat &result);
-    static bool matchTemplate_CCORR_NORMED(const UMat &image, const UMat &templ, UMat &result);
+    static bool matchTemplate_CCORR(InputArray _image, InputArray _templ, OutputArray _result);
+    static bool matchTemplate_CCORR_NORMED(InputArray _image, InputArray _templ, OutputArray _result);
 
-    static bool matchTemplate_SQDIFF(const UMat &image, const UMat &templ, UMat &result);
-    static bool matchTemplate_SQDIFF_NORMED (const UMat &image, const UMat &templ, UMat &result);
+    static bool matchTemplate_SQDIFF(InputArray _image, InputArray _templ, OutputArray _result);
+    static bool matchTemplate_SQDIFF_NORMED (InputArray _image, InputArray _templ, OutputArray _result);
 
-    static bool matchTemplate_CCOEFF(const UMat &image, const UMat &templ, UMat &result);
-    static bool matchTemplate_CCOEFF_NORMED(const UMat &image, const UMat &templ, UMat &result);
+    static bool matchTemplate_CCOEFF(InputArray _image, InputArray _templ, OutputArray _result);
+    static bool matchTemplate_CCOEFF_NORMED(InputArray _image, InputArray _templ, OutputArray _result);
 
-    static bool matchTemplateNaive_CCORR (const UMat &image, const UMat &templ, UMat &result, int cn);
-    static bool matchTemplateNaive_SQDIFF(const UMat &image, const UMat &templ, UMat &result, int cn);
+    static bool matchTemplateNaive_CCORR (InputArray _image, InputArray _templ, OutputArray _result, int cn);
+    static bool matchTemplateNaive_SQDIFF(InputArray _image, InputArray _templ, OutputArray _result, int cn);
 
     static bool useNaive(int method, int depth, Size size)
     {
@@ -76,39 +76,41 @@ namespace cv
 
 ///////////////////////////////////////////////////CCORR//////////////////////////////////////////////////////////////
 
-    static bool matchTemplate_CCORR(const UMat &image, const UMat &templ, UMat &result)
+    static bool matchTemplate_CCORR(InputArray _image, InputArray _templ, OutputArray _result)
         {
-            if (useNaive(TM_CCORR, image.depth(), templ.size())  )
-                return matchTemplateNaive_CCORR(image, templ, result, image.channels());
+            if (useNaive(TM_CCORR, _image.depth(), _templ.size())  )
+                return matchTemplateNaive_CCORR(_image, _templ, _result, _image.channels());
             else
                 return false;
         }
 
-    static bool matchTemplateNaive_CCORR (const UMat &image, const UMat &templ, UMat &result, int cn)
+    static bool matchTemplateNaive_CCORR (InputArray _image, InputArray _templ, OutputArray _result, int cn)
     {
-        int type = image.type();
+        int type = _image.type();
         int depth = CV_MAT_DEPTH(type);
 
-        CV_Assert(result.channels() == 1);
-
         const char * kernelName = "matchTemplate_Naive_CCORR";
 
         ocl::Kernel k (kernelName, ocl::imgproc::match_template_oclsrc, format("-D type=%s -D elem_type=%s -D cn=%d",ocl::typeToStr(type), ocl::typeToStr(depth), cn));
         if (k.empty())
             return false;
 
+        UMat image = _image.getUMat();
+        UMat templ = _templ.getUMat(), result;
+        _result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);
+        result = _result.getUMat();
+
         size_t globalsize[2] = {result.cols, result.rows};
         size_t localsize[2]  = {16, 16};
 
-        return k.args(ocl::KernelArg::ReadOnlyNoSize(image), ocl::KernelArg::ReadOnly(templ), ocl::KernelArg::WriteOnly(result)).run(2,globalsize,localsize,true);
+        return k.args(ocl::KernelArg::ReadOnlyNoSize(image), ocl::KernelArg::ReadOnly(templ), ocl::KernelArg::WriteOnly(result)).run(2,globalsize,localsize,false);
     }
 
-    static bool matchTemplate_CCORR_NORMED(const UMat &image, const UMat &templ, UMat &result)
+    static bool matchTemplate_CCORR_NORMED(InputArray _image, InputArray _templ, OutputArray _result)
     {
-        if (!matchTemplate_CCORR(image, templ, result))
-            return false;
+        matchTemplate(_image, _templ, _result, CV_TM_CCORR);
 
-        int type = image.type();
+        int type = _image.type();
         int depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
 
         const char * kernelName = "matchTemplate_CCORR_NORMED";
@@ -117,6 +119,11 @@ namespace cv
         if (k.empty())
             return false;
 
+        UMat image = _image.getUMat();
+        UMat templ = _templ.getUMat(), result;
+        _result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);
+        result = _result.getUMat();
+
         UMat temp, image_sums, image_sqsums;
         integral(image.reshape(1), image_sums, temp);
 
@@ -134,46 +141,48 @@ namespace cv
         size_t globalsize[2] = {result.cols, result.rows};
         size_t localsize[2]  = {16, 16};
 
-        return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sqsums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, templ_sqsum).run(2,globalsize,localsize,true);
+        return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sqsums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, templ_sqsum).run(2,globalsize,localsize,false);
     }
 
 //////////////////////////////////////SQDIFF//////////////////////////////////////////////////////////////
 
-    static bool matchTemplate_SQDIFF(const UMat &image, const UMat &templ, UMat &result)
+    static bool matchTemplate_SQDIFF(InputArray _image, InputArray _templ, OutputArray _result)
     {
-         if (useNaive(TM_SQDIFF, image.depth(), templ.size()))
+         if (useNaive(TM_SQDIFF, _image.depth(), _templ.size()))
             {
-                return matchTemplateNaive_SQDIFF(image, templ, result, image.channels());;
+                return matchTemplateNaive_SQDIFF(_image, _templ, _result, _image.channels());;
             }
             else
                 return false;
     }
 
-    static bool matchTemplateNaive_SQDIFF(const UMat &image, const UMat &templ, UMat &result, int cn)
+    static bool matchTemplateNaive_SQDIFF(InputArray _image, InputArray _templ, OutputArray _result, int cn)
     {
-        int type = image.type();
+        int type = _image.type();
         int depth = CV_MAT_DEPTH(type);
 
-        CV_Assert(result.channels() == 1);
-
         const char * kernelName = "matchTemplate_Naive_SQDIFF";
 
         ocl::Kernel k (kernelName, ocl::imgproc::match_template_oclsrc, format("-D type=%s -D elem_type=%s -D cn=%d",ocl::typeToStr(type), ocl::typeToStr(depth), cn));
         if (k.empty())
             return false;
 
+        UMat image = _image.getUMat();
+        UMat templ = _templ.getUMat(), result;
+        _result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);
+        result = _result.getUMat();
+
         size_t globalsize[2] = {result.cols, result.rows};
         size_t localsize[2]  = {16, 16};
 
-        return k.args(ocl::KernelArg::ReadOnlyNoSize(image), ocl::KernelArg::ReadOnly(templ), ocl::KernelArg::WriteOnly(result)).run(2,globalsize,localsize,true);
+        return k.args(ocl::KernelArg::ReadOnlyNoSize(image), ocl::KernelArg::ReadOnly(templ), ocl::KernelArg::WriteOnly(result)).run(2,globalsize,localsize,false);
     }
 
-    static bool matchTemplate_SQDIFF_NORMED (const UMat &image, const UMat &templ, UMat &result)
+    static bool matchTemplate_SQDIFF_NORMED (InputArray _image, InputArray _templ, OutputArray _result)
     {
-        if (!matchTemplate_CCORR(image, templ, result))
-            return false;
+        matchTemplate(_image, _templ, _result, CV_TM_CCORR);
 
-        int type = image.type();
+        int type = _image.type();
         int depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
 
         const char * kernelName = "matchTemplate_SQDIFF_NORMED";
@@ -182,6 +191,11 @@ namespace cv
         if (k.empty())
             return false;
 
+        UMat image = _image.getUMat();
+        UMat templ = _templ.getUMat(), result;
+        _result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);
+        result = _result.getUMat();
+
         UMat temp, image_sums, image_sqsums;
         integral(image.reshape(1), image_sums, temp);
 
@@ -199,18 +213,17 @@ namespace cv
         size_t globalsize[2] = {result.cols, result.rows};
         size_t localsize[2]  = {16, 16};
 
-        return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sqsums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, templ_sqsum).run(2,globalsize,localsize,true);
+        return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sqsums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, templ_sqsum).run(2,globalsize,localsize,false);
     }
 
 /////////////////////////////////////CCOEFF/////////////////////////////////////////////////////////////////
 
-    static bool matchTemplate_CCOEFF(const UMat &image, const UMat &templ, UMat &result)
+    static bool matchTemplate_CCOEFF(InputArray _image, InputArray _templ, OutputArray _result)
     {
-        if (!matchTemplate_CCORR(image, templ, result))
-            return false;
+        matchTemplate(_image, _templ, _result, CV_TM_CCORR);
 
         UMat image_sums;
-        integral(image, image_sums);
+        integral(_image, image_sums);
 
         int type = image_sums.type();
         int depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
@@ -228,13 +241,18 @@ namespace cv
         if (k.empty())
             return false;
 
+        UMat templ = _templ.getUMat(), result;
+        int image_rows = _image.size().height, image_cols = _image.size().width;
+        _result.create(image_rows - templ.rows + 1, image_cols - templ.cols + 1, CV_32F);
+        result = _result.getUMat();
+
         size_t globalsize[2] = {result.cols, result.rows};
         size_t localsize[2]  = {16, 16};
 
         if (cn==1)
         {
-            float templ_sum = (float)sum(templ)[0]/ templ.size().area();
-            return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, templ_sum).run(2,globalsize,localsize,true);
+            float templ_sum = (float)sum(_templ)[0]/ _templ.size().area();
+            return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, templ_sum).run(2,globalsize,localsize,false);
         }
         else
         {
@@ -242,26 +260,26 @@ namespace cv
             templ_sum = sum(templ)/ templ.size().area();
             if (cn==2)
                 return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols,
-                templ_sum[0],templ_sum[1]).run(2,globalsize,localsize,true);
+                templ_sum[0],templ_sum[1]).run(2,globalsize,localsize,false);
 
             return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols,
-            templ_sum[0],templ_sum[1],templ_sum[2],templ_sum[3]).run(2,globalsize,localsize,true);
+            templ_sum[0],templ_sum[1],templ_sum[2],templ_sum[3]).run(2,globalsize,localsize,false);
         }
     }
 
-    static bool matchTemplate_CCOEFF_NORMED(const UMat &image, const UMat &templ, UMat &result)
+    static bool matchTemplate_CCOEFF_NORMED(InputArray _image, InputArray _templ, OutputArray _result)
     {
         UMat imagef, templf;
-        image.convertTo(imagef, CV_32F);
-        templ.convertTo(templf, CV_32F);
 
-        if(!matchTemplate_CCORR(imagef, templf, result))
-            return false;
+        _image.getUMat().convertTo(imagef, CV_32F);
+        _templ.getUMat().convertTo(templf, CV_32F);
+
+        matchTemplate(imagef, templf, _result, CV_TM_CCORR);
 
         const char * kernelName;
 
         UMat temp, image_sums, image_sqsums;
-        integral(image,image_sums, temp);
+        integral(_image,image_sums, temp);
 
         int type = image_sums.type();
         int depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
@@ -278,6 +296,12 @@ namespace cv
         if (k.empty())
             return false;
 
+        UMat image = _image.getUMat();
+        UMat templ = _templ.getUMat(), result;
+        int image_rows = _image.size().height, image_cols = _image.size().width;
+        _result.create(image_rows - templ.rows + 1, image_cols - templ.cols + 1, CV_32F);
+        result = _result.getUMat();
+
         if(temp.depth() == CV_64F)
             temp.convertTo(image_sqsums, CV_32F);
         else
@@ -306,7 +330,7 @@ namespace cv
 
             return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums),ocl::KernelArg::ReadOnlyNoSize(image_sqsums),
                           ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, scale, templ_sum, templ_sqsum)
-                         .run(2,globalsize,localsize,true);
+                         .run(2,globalsize,localsize,false);
         }
         else
         {
@@ -336,12 +360,12 @@ namespace cv
                  return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadOnlyNoSize(image_sqsums),
                                ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, scale,
                                templ_sum[0],templ_sum[1], templ_sqsum_sum)
-                               .run(2,globalsize,localsize,true);
+                               .run(2,globalsize,localsize,false);
 
             return k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadOnlyNoSize(image_sqsums),
                           ocl::KernelArg::WriteOnly(result), templ.rows, templ.cols, scale,
                           templ_sum[0],templ_sum[1],templ_sum[2],templ_sum[3], templ_sqsum_sum)
-                         .run(2,globalsize,localsize,true);
+                         .run(2,globalsize,localsize,false);
         }
 
     }
@@ -355,7 +379,7 @@ namespace cv
 
         CV_Assert( cn == _templ.channels() && cn!=3 && cn<=4);
 
-        typedef bool (*Caller)(const UMat &, const UMat &, UMat &);
+        typedef bool (*Caller)(InputArray _img, InputArray _templ, OutputArray _result);
 
         const Caller callers[] =
         {
@@ -365,11 +389,7 @@ namespace cv
 
         Caller caller = callers[method];
 
-        UMat image = _img.getUMat();
-        UMat templ = _templ.getUMat(), result;
-        _result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);
-        result = _result.getUMat();
-        return caller(image, templ, result);
+        return caller(_img, _templ, _result);
     }
 }
 
diff --git a/modules/imgproc/test/ocl/test_match_template.cpp b/modules/imgproc/test/ocl/test_match_template.cpp
index 48a8027..2a04023 100644
--- a/modules/imgproc/test/ocl/test_match_template.cpp
+++ b/modules/imgproc/test/ocl/test_match_template.cpp
@@ -74,7 +74,7 @@ PARAM_TEST_CASE(MatchTemplate, MatDepth, Channels, int, bool)
 
     virtual void generateTestData()
     {
-        Size image_roiSize = randomSize(2, 20);
+        Size image_roiSize = randomSize(2, 100);
         Size templ_roiSize = Size(randomInt(1,image_roiSize.width), randomInt(1,image_roiSize.height));
         Size result_roiSize = Size(image_roiSize.width - templ_roiSize.width + 1,
                                    image_roiSize.height - templ_roiSize.height + 1);