surf: fix OpenCL tests

should use UMat

modules/xfeatures2d/test/test_features2d.cpp

@@ -408,7 +408,18 @@ protected:
 
             Mat calcDescriptors;
             double t = (double)getTickCount();
-            dextractor->compute( img, keypoints, calcDescriptors );
+#ifdef HAVE_OPENCL
+            if(ocl::useOpenCL())
+            {
+                cv::UMat uimg;
+                img.copyTo(uimg);
+                dextractor->compute(uimg, keypoints, calcDescriptors);
+            }
+            else
+#endif
+            {
+                dextractor->compute(img, keypoints, calcDescriptors);
+            }
             t = getTickCount() - t;
             ts->printf(cvtest::TS::LOG, "\nAverage time of computing one descriptor = %g ms.\n", t/((double)getTickFrequency()*1000.)/calcDescriptors.rows );
 
@@ -1277,8 +1288,20 @@ protected:
         }
         vector<KeyPoint> kpt1, kpt2;
         Mat d1, d2;
-        f2d->detectAndCompute(img1, Mat(), kpt1, d1);
-        f2d->detectAndCompute(img1, Mat(), kpt2, d2);
+#ifdef HAVE_OPENCL
+        if(ocl::useOpenCL())
+        {
+            cv::UMat uimg1;
+            img1.copyTo(uimg1);
+            f2d->detectAndCompute(uimg1, Mat(), kpt1, d1);
+            f2d->detectAndCompute(uimg1, Mat(), kpt2, d2);
+        }
+        else
+#endif
+        {
+            f2d->detectAndCompute(img1, Mat(), kpt1, d1);
+            f2d->detectAndCompute(img1, Mat(), kpt2, d2);
+        }
         for( size_t i = 0; i < kpt1.size(); i++ )
             CV_Assert(kpt1[i].response > 0 );
         for( size_t i = 0; i < kpt2.size(); i++ )

modules/xfeatures2d/test/test_surf.ocl.cpp

@@ -144,18 +144,18 @@ PARAM_TEST_CASE(SURF, HessianThreshold, Octaves, OctaveLayers, Extended, Upright
 
 TEST_P(SURF, Detector)
 {
-	cv::UMat image;
-	cv::ocl::setUseOpenCL(true);
-	cv::imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/fruits.png", cv::IMREAD_GRAYSCALE).copyTo(image);
+    cv::UMat image;
+    cv::ocl::setUseOpenCL(true);
+    cv::imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/fruits.png", cv::IMREAD_GRAYSCALE).copyTo(image);
     ASSERT_FALSE(image.empty());
 
     cv::Ptr<cv::xfeatures2d::SURF> surf = cv::xfeatures2d::SURF::create(hessianThreshold, nOctaves, nOctaveLayers, extended, upright);
     std::vector<cv::KeyPoint> keypoints;
     surf->detect(image, keypoints, cv::noArray());
 
-	cv::ocl::setUseOpenCL(false);
+    cv::ocl::setUseOpenCL(false);
     std::vector<cv::KeyPoint> keypoints_gold;
-	surf->detect(image, keypoints_gold, cv::noArray());
+    surf->detect(image, keypoints_gold, cv::noArray());
 
     ASSERT_EQ(keypoints_gold.size(), keypoints.size());
     int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
@@ -166,23 +166,23 @@ TEST_P(SURF, Detector)
 
 TEST_P(SURF, Descriptor)
 {
-	cv::UMat image;
-	cv::ocl::setUseOpenCL(true);
-	cv::imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/fruits.png", cv::IMREAD_GRAYSCALE).copyTo(image);
+    cv::UMat image;
+    cv::ocl::setUseOpenCL(true);
+    cv::imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/fruits.png", cv::IMREAD_GRAYSCALE).copyTo(image);
     ASSERT_FALSE(image.empty());
 
-	cv::Ptr<cv::xfeatures2d::SURF> surf = cv::xfeatures2d::SURF::create(hessianThreshold, nOctaves, nOctaveLayers, extended, upright);
+    cv::Ptr<cv::xfeatures2d::SURF> surf = cv::xfeatures2d::SURF::create(hessianThreshold, nOctaves, nOctaveLayers, extended, upright);
 
     std::vector<cv::KeyPoint> keypoints;
-	surf->detect(image, keypoints, cv::noArray());
+    surf->detect(image, keypoints, cv::noArray());
 
     cv::UMat descriptors;
 
     surf->detectAndCompute(image, cv::noArray(), keypoints, descriptors, true);
 
-	cv::ocl::setUseOpenCL(false);
+    cv::ocl::setUseOpenCL(false);
     cv::Mat descriptors_gold;
-	surf->detectAndCompute(image, cv::noArray(), keypoints, descriptors_gold, true);
+    surf->detectAndCompute(image, cv::noArray(), keypoints, descriptors_gold, true);
 
     cv::BFMatcher matcher(surf->defaultNorm());
     std::vector<cv::DMatch> matches;