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added Generalized Hough implementation
[profile/ivi/opencv.git] / modules / gpu / perf / perf_imgproc.cpp
diff --git a/modules/gpu/perf/perf_imgproc.cpp b/modules/gpu/perf/perf_imgproc.cpp
index a1614a7..9769bfa 100644 (file)
--- a/modules/gpu/perf/perf_imgproc.cpp
+++ b/modules/gpu/perf/perf_imgproc.cpp
@@ -23,26 +23,26 @@ void generateMap(cv::Mat& map_x, cv::Mat& map_y, int remapMode)
             case HALF_SIZE:\r
                 if (i > map_x.cols*0.25 && i < map_x.cols*0.75 && j > map_x.rows*0.25 && j < map_x.rows*0.75)\r
                 {\r
-                    map_x.at<float>(j,i) = 2 * (i - map_x.cols * 0.25) + 0.5;\r
-                    map_y.at<float>(j,i) = 2 * (j - map_x.rows * 0.25) + 0.5;\r
+                    map_x.at<float>(j,i) = 2.f * (i - map_x.cols * 0.25f) + 0.5f;\r
+                    map_y.at<float>(j,i) = 2.f * (j - map_x.rows * 0.25f) + 0.5f;\r
                 }\r
                 else\r
                 {\r
-                    map_x.at<float>(j,i) = 0;\r
-                    map_y.at<float>(j,i) = 0;\r
+                    map_x.at<float>(j,i) = 0.f;\r
+                    map_y.at<float>(j,i) = 0.f;\r
                 }\r
                 break;\r
             case UPSIDE_DOWN:\r
-                map_x.at<float>(j,i) = i;\r
-                map_y.at<float>(j,i) = map_x.rows - j;\r
+                map_x.at<float>(j,i) = static_cast<float>(i);\r
+                map_y.at<float>(j,i) = static_cast<float>(map_x.rows - j);\r
                 break;\r
             case REFLECTION_X:\r
-                map_x.at<float>(j,i) = map_x.cols - i;\r
-                map_y.at<float>(j,i) = j;\r
+                map_x.at<float>(j,i) = static_cast<float>(map_x.cols - i);\r
+                map_y.at<float>(j,i) = static_cast<float>(j);\r
                 break;\r
             case REFLECTION_BOTH:\r
-                map_x.at<float>(j,i) = map_x.cols - i;\r
-                map_y.at<float>(j,i) = map_x.rows - j;\r
+                map_x.at<float>(j,i) = static_cast<float>(map_x.cols - i);\r
+                map_y.at<float>(j,i) = static_cast<float>(map_x.rows - j);\r
                 break;\r
             } // end of switch\r
         }\r
@@ -54,12 +54,12 @@ DEF_PARAM_TEST(Sz_Depth_Cn_Inter_Border_Mode, cv::Size, MatDepth, int, Interpola
 PERF_TEST_P(Sz_Depth_Cn_Inter_Border_Mode, ImgProc_Remap, Combine(\r
     GPU_TYPICAL_MAT_SIZES,\r
     Values(CV_8U, CV_16U, CV_32F),\r
-    Values(1, 3, 4),\r
+    GPU_CHANNELS_1_3_4,\r
     Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)),\r
     ALL_BORDER_MODES,\r
     ALL_REMAP_MODES))\r
 {\r
-    declare.time(3.0);\r
+    declare.time(20.0);\r
 \r
     cv::Size size = GET_PARAM(0);\r
     int depth = GET_PARAM(1);\r
@@ -78,16 +78,30 @@ PERF_TEST_P(Sz_Depth_Cn_Inter_Border_Mode, ImgProc_Remap, Combine(
 \r
     generateMap(xmap, ymap, remapMode);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_xmap(xmap);\r
-    cv::gpu::GpuMat d_ymap(ymap);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_xmap(xmap);\r
+        cv::gpu::GpuMat d_ymap(ymap);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::remap(d_src, d_dst, d_xmap, d_ymap, interpolation, borderMode);\r
+        cv::gpu::remap(d_src, d_dst, d_xmap, d_ymap, interpolation, borderMode);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::remap(d_src, d_dst, d_xmap, d_ymap, interpolation, borderMode);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::remap(d_src, d_dst, d_xmap, d_ymap, interpolation, borderMode);\r
+        cv::Mat dst;\r
+\r
+        cv::remap(src, dst, xmap, ymap, interpolation, borderMode);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::remap(src, dst, xmap, ymap, interpolation, borderMode);\r
+        }\r
     }\r
 }\r
 \r
@@ -99,11 +113,11 @@ DEF_PARAM_TEST(Sz_Depth_Cn_Inter_Scale, cv::Size, MatDepth, int, Interpolation,
 PERF_TEST_P(Sz_Depth_Cn_Inter_Scale, ImgProc_Resize, Combine(\r
     GPU_TYPICAL_MAT_SIZES,\r
     Values(CV_8U, CV_16U, CV_32F),\r
-    Values(1, 3, 4),\r
+    GPU_CHANNELS_1_3_4,\r
     ALL_INTERPOLATIONS,\r
     Values(0.5, 0.3, 2.0)))\r
 {\r
-    declare.time(1.0);\r
+    declare.time(20.0);\r
 \r
     cv::Size size = GET_PARAM(0);\r
     int depth = GET_PARAM(1);\r
@@ -116,14 +130,28 @@ PERF_TEST_P(Sz_Depth_Cn_Inter_Scale, ImgProc_Resize, Combine(
     cv::Mat src(size, type);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::resize(d_src, d_dst, cv::Size(), f, f, interpolation);\r
+        cv::gpu::resize(d_src, d_dst, cv::Size(), f, f, interpolation);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::resize(d_src, d_dst, cv::Size(), f, f, interpolation);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::resize(d_src, d_dst, cv::Size(), f, f, interpolation);\r
+        cv::Mat dst;\r
+\r
+        cv::resize(src, dst, cv::Size(), f, f, interpolation);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::resize(src, dst, cv::Size(), f, f, interpolation);\r
+        }\r
     }\r
 }\r
 \r
@@ -135,7 +163,7 @@ DEF_PARAM_TEST(Sz_Depth_Cn_Scale, cv::Size, MatDepth, int, double);
 PERF_TEST_P(Sz_Depth_Cn_Scale, ImgProc_ResizeArea, Combine(\r
     GPU_TYPICAL_MAT_SIZES,\r
     Values(CV_8U, CV_16U, CV_32F),\r
-    Values(1, 3, 4),\r
+    GPU_CHANNELS_1_3_4,\r
     Values(0.2, 0.1, 0.05)))\r
 {\r
     declare.time(1.0);\r
@@ -151,14 +179,28 @@ PERF_TEST_P(Sz_Depth_Cn_Scale, ImgProc_ResizeArea, Combine(
     cv::Mat src(size, type);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::resize(d_src, d_dst, cv::Size(), f, f, interpolation);\r
+        cv::gpu::resize(d_src, d_dst, cv::Size(), f, f, interpolation);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::resize(d_src, d_dst, cv::Size(), f, f, interpolation);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::resize(d_src, d_dst, cv::Size(), f, f, interpolation);\r
+        cv::Mat dst;\r
+\r
+        cv::resize(src, dst, cv::Size(), f, f, interpolation);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::resize(src, dst, cv::Size(), f, f, interpolation);\r
+        }\r
     }\r
 }\r
 \r
@@ -170,10 +212,12 @@ DEF_PARAM_TEST(Sz_Depth_Cn_Inter_Border, cv::Size, MatDepth, int, Interpolation,
 PERF_TEST_P(Sz_Depth_Cn_Inter_Border, ImgProc_WarpAffine, Combine(\r
     GPU_TYPICAL_MAT_SIZES,\r
     Values(CV_8U, CV_16U, CV_32F),\r
-    Values(1, 3, 4),\r
+    GPU_CHANNELS_1_3_4,\r
     Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)),\r
     ALL_BORDER_MODES))\r
 {\r
+    declare.time(20.0);\r
+\r
     cv::Size size = GET_PARAM(0);\r
     int depth = GET_PARAM(1);\r
     int channels = GET_PARAM(2);\r
@@ -190,14 +234,28 @@ PERF_TEST_P(Sz_Depth_Cn_Inter_Border, ImgProc_WarpAffine, Combine(
                          {std::sin(aplha),  std::cos(aplha), 0}};\r
     cv::Mat M(2, 3, CV_64F, (void*) mat);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::warpAffine(d_src, d_dst, M, size, interpolation, borderMode);\r
+        cv::gpu::warpAffine(d_src, d_dst, M, size, interpolation, borderMode);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::warpAffine(d_src, d_dst, M, size, interpolation, borderMode);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::warpAffine(d_src, d_dst, M, size, interpolation, borderMode);\r
+        cv::Mat dst;\r
+\r
+        cv::warpAffine(src, dst, M, size, interpolation, borderMode);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::warpAffine(src, dst, M, size, interpolation, borderMode);\r
+        }\r
     }\r
 }\r
 \r
@@ -207,10 +265,12 @@ PERF_TEST_P(Sz_Depth_Cn_Inter_Border, ImgProc_WarpAffine, Combine(
 PERF_TEST_P(Sz_Depth_Cn_Inter_Border, ImgProc_WarpPerspective, Combine(\r
     GPU_TYPICAL_MAT_SIZES,\r
     Values(CV_8U, CV_16U, CV_32F),\r
-    Values(1, 3, 4),\r
+    GPU_CHANNELS_1_3_4,\r
     Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC)),\r
     ALL_BORDER_MODES))\r
 {\r
+    declare.time(20.0);\r
+\r
     cv::Size size = GET_PARAM(0);\r
     int depth = GET_PARAM(1);\r
     int channels = GET_PARAM(2);\r
@@ -228,14 +288,28 @@ PERF_TEST_P(Sz_Depth_Cn_Inter_Border, ImgProc_WarpPerspective, Combine(
                          {0.0,              0.0,             1.0}};\r
     cv::Mat M(3, 3, CV_64F, (void*) mat);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::warpPerspective(d_src, d_dst, M, size, interpolation, borderMode);\r
+        cv::gpu::warpPerspective(d_src, d_dst, M, size, interpolation, borderMode);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::warpPerspective(d_src, d_dst, M, size, interpolation, borderMode);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::warpPerspective(d_src, d_dst, M, size, interpolation, borderMode);\r
+        cv::Mat dst;\r
+\r
+        cv::warpPerspective(src, dst, M, size, interpolation, borderMode);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::warpPerspective(src, dst, M, size, interpolation, borderMode);\r
+        }\r
     }\r
 }\r
 \r
@@ -247,7 +321,7 @@ DEF_PARAM_TEST(Sz_Depth_Cn_Border, cv::Size, MatDepth, int, BorderMode);
 PERF_TEST_P(Sz_Depth_Cn_Border, ImgProc_CopyMakeBorder, Combine(\r
     GPU_TYPICAL_MAT_SIZES,\r
     Values(CV_8U, CV_16U, CV_32F),\r
-    Values(1, 3, 4),\r
+    GPU_CHANNELS_1_3_4,\r
     ALL_BORDER_MODES))\r
 {\r
     cv::Size size = GET_PARAM(0);\r
@@ -260,14 +334,28 @@ PERF_TEST_P(Sz_Depth_Cn_Border, ImgProc_CopyMakeBorder, Combine(
     cv::Mat src(size, type);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::copyMakeBorder(d_src, d_dst, 5, 5, 5, 5, borderMode);\r
+        cv::gpu::copyMakeBorder(d_src, d_dst, 5, 5, 5, 5, borderMode);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::copyMakeBorder(d_src, d_dst, 5, 5, 5, 5, borderMode);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::copyMakeBorder(d_src, d_dst, 5, 5, 5, 5, borderMode);\r
+        cv::Mat dst;\r
+\r
+        cv::copyMakeBorder(src, dst, 5, 5, 5, 5, borderMode);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::copyMakeBorder(src, dst, 5, 5, 5, 5, borderMode);\r
+        }\r
     }\r
 }\r
 \r
@@ -291,14 +379,28 @@ PERF_TEST_P(Sz_Depth_Op, ImgProc_Threshold, Combine(
     cv::Mat src(size, depth);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::threshold(d_src, d_dst, 100.0, 255.0, threshOp);\r
+        cv::gpu::threshold(d_src, d_dst, 100.0, 255.0, threshOp);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::threshold(d_src, d_dst, 100.0, 255.0, threshOp);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::threshold(d_src, d_dst, 100.0, 255.0, threshOp);\r
+        cv::Mat dst;\r
+\r
+        cv::threshold(src, dst, 100.0, 255.0, threshOp);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::threshold(src, dst, 100.0, 255.0, threshOp);\r
+        }\r
     }\r
 }\r
 \r
@@ -312,15 +414,29 @@ PERF_TEST_P(Sz, ImgProc_Integral, GPU_TYPICAL_MAT_SIZES)
     cv::Mat src(size, CV_8UC1);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
-    cv::gpu::GpuMat d_buf;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
+        cv::gpu::GpuMat d_buf;\r
 \r
-    cv::gpu::integralBuffered(d_src, d_dst, d_buf);\r
+        cv::gpu::integralBuffered(d_src, d_dst, d_buf);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::integralBuffered(d_src, d_dst, d_buf);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::integralBuffered(d_src, d_dst, d_buf);\r
+        cv::Mat dst;\r
+\r
+        cv::integral(src, dst);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::integral(src, dst);\r
+        }\r
     }\r
 }\r
 \r
@@ -334,14 +450,21 @@ PERF_TEST_P(Sz, ImgProc_IntegralSqr, GPU_TYPICAL_MAT_SIZES)
     cv::Mat src(size, CV_8UC1);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::sqrIntegral(d_src, d_dst);\r
+        cv::gpu::sqrIntegral(d_src, d_dst);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::sqrIntegral(d_src, d_dst);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::sqrIntegral(d_src, d_dst);\r
+        FAIL();\r
     }\r
 }\r
 \r
@@ -356,15 +479,35 @@ PERF_TEST_P(Sz_Depth, ImgProc_HistEvenC1, Combine(GPU_TYPICAL_MAT_SIZES, Values(
     cv::Mat src(size, depth);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_hist;\r
-    cv::gpu::GpuMat d_buf;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_hist;\r
+        cv::gpu::GpuMat d_buf;\r
 \r
-    cv::gpu::histEven(d_src, d_hist, d_buf, 30, 0, 180);\r
+        cv::gpu::histEven(d_src, d_hist, d_buf, 30, 0, 180);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::histEven(d_src, d_hist, d_buf, 30, 0, 180);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::histEven(d_src, d_hist, d_buf, 30, 0, 180);\r
+        int hbins = 30;\r
+        float hranges[] = {0.0f, 180.0f};\r
+        int histSize[] = {hbins};\r
+        const float* ranges[] = {hranges};\r
+        int channels[] = {0};\r
+\r
+        cv::Mat hist;\r
+\r
+        cv::calcHist(&src, 1, channels, cv::Mat(), hist, 1, histSize, ranges);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::calcHist(&src, 1, channels, cv::Mat(), hist, 1, histSize, ranges);\r
+        }\r
     }\r
 }\r
 \r
@@ -383,15 +526,22 @@ PERF_TEST_P(Sz_Depth, ImgProc_HistEvenC4, Combine(GPU_TYPICAL_MAT_SIZES, Values(
     int lowerLevel[] = {0, 0, 0, 0};\r
     int upperLevel[] = {180, 180, 180, 180};\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_hist[4];\r
-    cv::gpu::GpuMat d_buf;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_hist[4];\r
+        cv::gpu::GpuMat d_buf;\r
 \r
-    cv::gpu::histEven(d_src, d_hist, d_buf, histSize, lowerLevel, upperLevel);\r
+        cv::gpu::histEven(d_src, d_hist, d_buf, histSize, lowerLevel, upperLevel);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::histEven(d_src, d_hist, d_buf, histSize, lowerLevel, upperLevel);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::histEven(d_src, d_hist, d_buf, histSize, lowerLevel, upperLevel);\r
+        FAIL();\r
     }\r
 }\r
 \r
@@ -405,15 +555,22 @@ PERF_TEST_P(Sz, ImgProc_CalcHist, GPU_TYPICAL_MAT_SIZES)
     cv::Mat src(size, CV_8UC1);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_hist;\r
-    cv::gpu::GpuMat d_buf;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_hist;\r
+        cv::gpu::GpuMat d_buf;\r
 \r
-    cv::gpu::calcHist(d_src, d_hist, d_buf);\r
+        cv::gpu::calcHist(d_src, d_hist, d_buf);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::calcHist(d_src, d_hist, d_buf);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::calcHist(d_src, d_hist, d_buf);\r
+        FAIL();\r
     }\r
 }\r
 \r
@@ -427,16 +584,30 @@ PERF_TEST_P(Sz, ImgProc_EqualizeHist, GPU_TYPICAL_MAT_SIZES)
     cv::Mat src(size, CV_8UC1);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
-    cv::gpu::GpuMat d_hist;\r
-    cv::gpu::GpuMat d_buf;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
+        cv::gpu::GpuMat d_hist;\r
+        cv::gpu::GpuMat d_buf;\r
 \r
-    cv::gpu::equalizeHist(d_src, d_dst, d_hist, d_buf);\r
+        cv::gpu::equalizeHist(d_src, d_dst, d_hist, d_buf);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::equalizeHist(d_src, d_dst, d_hist, d_buf);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::equalizeHist(d_src, d_dst, d_hist, d_buf);\r
+        cv::Mat dst;\r
+\r
+        cv::equalizeHist(src, dst);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::equalizeHist(src, dst);\r
+        }\r
     }\r
 }\r
 \r
@@ -450,14 +621,21 @@ PERF_TEST_P(Sz, ImgProc_ColumnSum, GPU_TYPICAL_MAT_SIZES)
     cv::Mat src(size, CV_32FC1);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::columnSum(d_src, d_dst);\r
+        cv::gpu::columnSum(d_src, d_dst);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::columnSum(d_src, d_dst);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::columnSum(d_src, d_dst);\r
+        FAIL();\r
     }\r
 }\r
 \r
@@ -478,15 +656,29 @@ PERF_TEST_P(Image_AppertureSz_L2gradient, ImgProc_Canny, Combine(
     cv::Mat image = readImage(fileName, cv::IMREAD_GRAYSCALE);\r
     ASSERT_FALSE(image.empty());\r
 \r
-    cv::gpu::GpuMat d_image(image);\r
-    cv::gpu::GpuMat d_dst;\r
-    cv::gpu::CannyBuf d_buf;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_image(image);\r
+        cv::gpu::GpuMat d_dst;\r
+        cv::gpu::CannyBuf d_buf;\r
 \r
-    cv::gpu::Canny(d_image, d_buf, d_dst, 50.0, 100.0, apperture_size, useL2gradient);\r
+        cv::gpu::Canny(d_image, d_buf, d_dst, 50.0, 100.0, apperture_size, useL2gradient);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::Canny(d_image, d_buf, d_dst, 50.0, 100.0, apperture_size, useL2gradient);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::Canny(d_image, d_buf, d_dst, 50.0, 100.0, apperture_size, useL2gradient);\r
+        cv::Mat dst;\r
+\r
+        cv::Canny(image, dst, 50.0, 100.0, apperture_size, useL2gradient);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::Canny(image, dst, 50.0, 100.0, apperture_size, useL2gradient);\r
+        }\r
     }\r
 }\r
 \r
@@ -497,7 +689,7 @@ DEF_PARAM_TEST_1(Image, string);
 \r
 PERF_TEST_P(Image, ImgProc_MeanShiftFiltering, Values<string>("gpu/meanshift/cones.png"))\r
 {\r
-    declare.time(5.0);\r
+    declare.time(15.0);\r
 \r
     cv::Mat img = readImage(GetParam());\r
     ASSERT_FALSE(img.empty());\r
@@ -505,14 +697,28 @@ PERF_TEST_P(Image, ImgProc_MeanShiftFiltering, Values<string>("gpu/meanshift/con
     cv::Mat rgba;\r
     cv::cvtColor(img, rgba, cv::COLOR_BGR2BGRA);\r
 \r
-    cv::gpu::GpuMat d_src(rgba);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(rgba);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::meanShiftFiltering(d_src, d_dst, 50, 50);\r
+        cv::gpu::meanShiftFiltering(d_src, d_dst, 50, 50);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::meanShiftFiltering(d_src, d_dst, 50, 50);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::meanShiftFiltering(d_src, d_dst, 50, 50);\r
+        cv::Mat dst;\r
+\r
+        cv::pyrMeanShiftFiltering(img, dst, 50, 50);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::pyrMeanShiftFiltering(img, dst, 50, 50);\r
+        }\r
     }\r
 }\r
 \r
@@ -529,15 +735,22 @@ PERF_TEST_P(Image, ImgProc_MeanShiftProc, Values<string>("gpu/meanshift/cones.pn
     cv::Mat rgba;\r
     cv::cvtColor(img, rgba, cv::COLOR_BGR2BGRA);\r
 \r
-    cv::gpu::GpuMat d_src(rgba);\r
-    cv::gpu::GpuMat d_dstr;\r
-    cv::gpu::GpuMat d_dstsp;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(rgba);\r
+        cv::gpu::GpuMat d_dstr;\r
+        cv::gpu::GpuMat d_dstsp;\r
 \r
-    cv::gpu::meanShiftProc(d_src, d_dstr, d_dstsp, 50, 50);\r
+        cv::gpu::meanShiftProc(d_src, d_dstr, d_dstsp, 50, 50);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::meanShiftProc(d_src, d_dstr, d_dstsp, 50, 50);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::meanShiftProc(d_src, d_dstr, d_dstsp, 50, 50);\r
+        FAIL();\r
     }\r
 }\r
 \r
@@ -556,20 +769,27 @@ PERF_TEST_P(Image, ImgProc_MeanShiftSegmentation, Values<string>("gpu/meanshift/
 \r
     cv::Mat dst;\r
 \r
-    cv::gpu::GpuMat d_src(rgba);\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(rgba);\r
 \r
-    cv::gpu::meanShiftSegmentation(d_src, dst, 10, 10, 20);\r
+        cv::gpu::meanShiftSegmentation(d_src, dst, 10, 10, 20);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::meanShiftSegmentation(d_src, dst, 10, 10, 20);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::meanShiftSegmentation(d_src, dst, 10, 10, 20);\r
+        FAIL();\r
     }\r
 }\r
 \r
 //////////////////////////////////////////////////////////////////////\r
 // BlendLinear\r
 \r
-PERF_TEST_P(Sz_Depth_Cn, ImgProc_BlendLinear, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_32F), Values(1, 3, 4)))\r
+PERF_TEST_P(Sz_Depth_Cn, ImgProc_BlendLinear, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_32F), GPU_CHANNELS_1_3_4))\r
 {\r
     cv::Size size = GET_PARAM(0);\r
     int depth = GET_PARAM(1);\r
@@ -583,17 +803,24 @@ PERF_TEST_P(Sz_Depth_Cn, ImgProc_BlendLinear, Combine(GPU_TYPICAL_MAT_SIZES, Val
     cv::Mat img2(size, type);\r
     fillRandom(img2);\r
 \r
-    cv::gpu::GpuMat d_img1(img1);\r
-    cv::gpu::GpuMat d_img2(img2);\r
-    cv::gpu::GpuMat d_weights1(size, CV_32FC1, cv::Scalar::all(0.5));\r
-    cv::gpu::GpuMat d_weights2(size, CV_32FC1, cv::Scalar::all(0.5));\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_img1(img1);\r
+        cv::gpu::GpuMat d_img2(img2);\r
+        cv::gpu::GpuMat d_weights1(size, CV_32FC1, cv::Scalar::all(0.5));\r
+        cv::gpu::GpuMat d_weights2(size, CV_32FC1, cv::Scalar::all(0.5));\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::blendLinear(d_img1, d_img2, d_weights1, d_weights2, d_dst);\r
+        cv::gpu::blendLinear(d_img1, d_img2, d_weights1, d_weights2, d_dst);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::blendLinear(d_img1, d_img2, d_weights1, d_weights2, d_dst);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::blendLinear(d_img1, d_img2, d_weights1, d_weights2, d_dst);\r
+        FAIL();\r
     }\r
 }\r
 \r
@@ -604,26 +831,48 @@ DEF_PARAM_TEST(Sz_KernelSz_Ccorr, cv::Size, int, bool);
 \r
 PERF_TEST_P(Sz_KernelSz_Ccorr, ImgProc_Convolve, Combine(GPU_TYPICAL_MAT_SIZES, Values(17, 27, 32, 64), Bool()))\r
 {\r
-    declare.time(2.0);\r
+    declare.time(10.0);\r
 \r
     cv::Size size = GET_PARAM(0);\r
     int templ_size = GET_PARAM(1);\r
     bool ccorr = GET_PARAM(2);\r
 \r
-    cv::gpu::GpuMat d_image = cv::gpu::createContinuous(size, CV_32FC1);\r
-    d_image.setTo(cv::Scalar(1.0));\r
+    cv::Mat image(size, CV_32FC1);\r
+    image.setTo(1.0);\r
 \r
-    cv::gpu::GpuMat d_templ = cv::gpu::createContinuous(templ_size, templ_size, CV_32FC1);\r
-    d_templ.setTo(cv::Scalar(1.0));\r
+    cv::Mat templ(templ_size, templ_size, CV_32FC1);\r
+    templ.setTo(1.0);\r
 \r
-    cv::gpu::GpuMat d_dst;\r
-    cv::gpu::ConvolveBuf d_buf;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_image = cv::gpu::createContinuous(size, CV_32FC1);\r
+        d_image.upload(image);\r
 \r
-    cv::gpu::convolve(d_image, d_templ, d_dst, ccorr, d_buf);\r
+        cv::gpu::GpuMat d_templ = cv::gpu::createContinuous(templ_size, templ_size, CV_32FC1);\r
+        d_templ.upload(templ);\r
+\r
+        cv::gpu::GpuMat d_dst;\r
+        cv::gpu::ConvolveBuf d_buf;\r
 \r
-    TEST_CYCLE()\r
-    {\r
         cv::gpu::convolve(d_image, d_templ, d_dst, ccorr, d_buf);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::convolve(d_image, d_templ, d_dst, ccorr, d_buf);\r
+        }\r
+    }\r
+    else\r
+    {\r
+        ASSERT_FALSE(ccorr);\r
+\r
+        cv::Mat dst;\r
+\r
+        cv::filter2D(image, dst, image.depth(), templ);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::filter2D(image, dst, image.depth(), templ);\r
+        }\r
     }\r
 }\r
 \r
@@ -638,7 +887,7 @@ DEF_PARAM_TEST(Sz_TemplateSz_Cn_Method, cv::Size, cv::Size, int, TemplateMethod)
 PERF_TEST_P(Sz_TemplateSz_Cn_Method, ImgProc_MatchTemplate8U, Combine(\r
     GPU_TYPICAL_MAT_SIZES,\r
     Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),\r
-    Values(1, 3, 4),\r
+    GPU_CHANNELS_1_3_4,\r
     ALL_TEMPLATE_METHODS))\r
 {\r
     cv::Size size = GET_PARAM(0);\r
@@ -652,15 +901,29 @@ PERF_TEST_P(Sz_TemplateSz_Cn_Method, ImgProc_MatchTemplate8U, Combine(
     cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_8U, cn));\r
     fillRandom(templ);\r
 \r
-    cv::gpu::GpuMat d_image(image);\r
-    cv::gpu::GpuMat d_templ(templ);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_image(image);\r
+        cv::gpu::GpuMat d_templ(templ);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::matchTemplate(d_image, d_templ, d_dst, method);\r
+        cv::gpu::matchTemplate(d_image, d_templ, d_dst, method);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::matchTemplate(d_image, d_templ, d_dst, method);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::matchTemplate(d_image, d_templ, d_dst, method);\r
+        cv::Mat dst;\r
+\r
+        cv::matchTemplate(image, templ, dst, method);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::matchTemplate(image, templ, dst, method);\r
+        }\r
     }\r
 };\r
 \r
@@ -670,7 +933,7 @@ PERF_TEST_P(Sz_TemplateSz_Cn_Method, ImgProc_MatchTemplate8U, Combine(
 PERF_TEST_P(Sz_TemplateSz_Cn_Method, ImgProc_MatchTemplate32F, Combine(\r
     GPU_TYPICAL_MAT_SIZES,\r
     Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),\r
-    Values(1, 3, 4),\r
+    GPU_CHANNELS_1_3_4,\r
     Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR))))\r
 {\r
     cv::Size size = GET_PARAM(0);\r
@@ -684,15 +947,29 @@ PERF_TEST_P(Sz_TemplateSz_Cn_Method, ImgProc_MatchTemplate32F, Combine(
     cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_32F, cn));\r
     fillRandom(templ);\r
 \r
-    cv::gpu::GpuMat d_image(image);\r
-    cv::gpu::GpuMat d_templ(templ);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_image(image);\r
+        cv::gpu::GpuMat d_templ(templ);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::matchTemplate(d_image, d_templ, d_dst, method);\r
+        cv::gpu::matchTemplate(d_image, d_templ, d_dst, method);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::matchTemplate(d_image, d_templ, d_dst, method);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::matchTemplate(d_image, d_templ, d_dst, method);\r
+        cv::Mat dst;\r
+\r
+        cv::matchTemplate(image, templ, dst, method);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::matchTemplate(image, templ, dst, method);\r
+        }\r
     }\r
 };\r
 \r
@@ -716,15 +993,29 @@ PERF_TEST_P(Sz_Flags, ImgProc_MulSpectrums, Combine(
     cv::Mat b(size, CV_32FC2);\r
     fillRandom(b, 0, 100);\r
 \r
-    cv::gpu::GpuMat d_a(a);\r
-    cv::gpu::GpuMat d_b(b);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_a(a);\r
+        cv::gpu::GpuMat d_b(b);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::mulSpectrums(d_a, d_b, d_dst, flag);\r
+        cv::gpu::mulSpectrums(d_a, d_b, d_dst, flag);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::mulSpectrums(d_a, d_b, d_dst, flag);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::mulSpectrums(d_a, d_b, d_dst, flag);\r
+        cv::Mat dst;\r
+\r
+        cv::mulSpectrums(a, b, dst, flag);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::mulSpectrums(a, b, dst, flag);\r
+        }\r
     }\r
 }\r
 \r
@@ -743,15 +1034,22 @@ PERF_TEST_P(Sz, ImgProc_MulAndScaleSpectrums, GPU_TYPICAL_MAT_SIZES)
     cv::Mat src2(size, CV_32FC2);\r
     fillRandom(src2, 0, 100);\r
 \r
-    cv::gpu::GpuMat d_src1(src1);\r
-    cv::gpu::GpuMat d_src2(src2);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src1(src1);\r
+        cv::gpu::GpuMat d_src2(src2);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::mulAndScaleSpectrums(d_src1, d_src2, d_dst, cv::DFT_ROWS, scale, false);\r
+        cv::gpu::mulAndScaleSpectrums(d_src1, d_src2, d_dst, cv::DFT_ROWS, scale, false);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::mulAndScaleSpectrums(d_src1, d_src2, d_dst, cv::DFT_ROWS, scale, false);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::mulAndScaleSpectrums(d_src1, d_src2, d_dst, cv::DFT_ROWS, scale, false);\r
+        FAIL();\r
     }\r
 }\r
 \r
@@ -762,7 +1060,7 @@ PERF_TEST_P(Sz_Flags, ImgProc_Dft, Combine(
     GPU_TYPICAL_MAT_SIZES,\r
     Values(0, DftFlags(cv::DFT_ROWS), DftFlags(cv::DFT_INVERSE))))\r
 {\r
-    declare.time(2.0);\r
+    declare.time(10.0);\r
 \r
     cv::Size size = GET_PARAM(0);\r
     int flag = GET_PARAM(1);\r
@@ -770,14 +1068,28 @@ PERF_TEST_P(Sz_Flags, ImgProc_Dft, Combine(
     cv::Mat src(size, CV_32FC2);\r
     fillRandom(src, 0, 100);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::dft(d_src, d_dst, size, flag);\r
+        cv::gpu::dft(d_src, d_dst, size, flag);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::dft(d_src, d_dst, size, flag);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::dft(d_src, d_dst, size, flag);\r
+        cv::Mat dst;\r
+\r
+        cv::dft(src, dst, flag);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::dft(src, dst, flag);\r
+        }\r
     }\r
 }\r
 \r
@@ -793,8 +1105,6 @@ PERF_TEST_P(Image_Type_Border_BlockSz_ApertureSz, ImgProc_CornerHarris, Combine(
     Values(3, 5, 7),\r
     Values(0, 3, 5, 7)))\r
 {\r
-    double k = 0.5;\r
-\r
     string fileName = GET_PARAM(0);\r
     int type = GET_PARAM(1);\r
     int borderMode = GET_PARAM(2);\r
@@ -803,20 +1113,35 @@ PERF_TEST_P(Image_Type_Border_BlockSz_ApertureSz, ImgProc_CornerHarris, Combine(
 \r
     cv::Mat img = readImage(fileName, cv::IMREAD_GRAYSCALE);\r
     ASSERT_FALSE(img.empty());\r
-\r
     img.convertTo(img, type, type == CV_32F ? 1.0 / 255.0 : 1.0);\r
 \r
-    cv::gpu::GpuMat d_img(img);\r
-    cv::gpu::GpuMat d_dst;\r
-    cv::gpu::GpuMat d_Dx;\r
-    cv::gpu::GpuMat d_Dy;\r
-    cv::gpu::GpuMat d_buf;\r
-\r
-    cv::gpu::cornerHarris(d_img, d_dst, d_Dx, d_Dy, d_buf, blockSize, apertureSize, k, borderMode);\r
+    double k = 0.5;\r
 \r
-    TEST_CYCLE()\r
+    if (runOnGpu)\r
     {\r
+        cv::gpu::GpuMat d_img(img);\r
+        cv::gpu::GpuMat d_dst;\r
+        cv::gpu::GpuMat d_Dx;\r
+        cv::gpu::GpuMat d_Dy;\r
+        cv::gpu::GpuMat d_buf;\r
+\r
         cv::gpu::cornerHarris(d_img, d_dst, d_Dx, d_Dy, d_buf, blockSize, apertureSize, k, borderMode);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::cornerHarris(d_img, d_dst, d_Dx, d_Dy, d_buf, blockSize, apertureSize, k, borderMode);\r
+        }\r
+    }\r
+    else\r
+    {\r
+        cv::Mat dst;\r
+\r
+        cv::cornerHarris(img, dst, blockSize, apertureSize, k, borderMode);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::cornerHarris(img, dst, blockSize, apertureSize, k, borderMode);\r
+        }\r
     }\r
 }\r
 \r
@@ -841,17 +1166,31 @@ PERF_TEST_P(Image_Type_Border_BlockSz_ApertureSz, ImgProc_CornerMinEigenVal, Com
 \r
     img.convertTo(img, type, type == CV_32F ? 1.0 / 255.0 : 1.0);\r
 \r
-    cv::gpu::GpuMat d_img(img);\r
-    cv::gpu::GpuMat d_dst;\r
-    cv::gpu::GpuMat d_Dx;\r
-    cv::gpu::GpuMat d_Dy;\r
-    cv::gpu::GpuMat d_buf;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_img(img);\r
+        cv::gpu::GpuMat d_dst;\r
+        cv::gpu::GpuMat d_Dx;\r
+        cv::gpu::GpuMat d_Dy;\r
+        cv::gpu::GpuMat d_buf;\r
 \r
-    cv::gpu::cornerMinEigenVal(d_img, d_dst, d_Dx, d_Dy, d_buf, blockSize, apertureSize, borderMode);\r
+        cv::gpu::cornerMinEigenVal(d_img, d_dst, d_Dx, d_Dy, d_buf, blockSize, apertureSize, borderMode);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::cornerMinEigenVal(d_img, d_dst, d_Dx, d_Dy, d_buf, blockSize, apertureSize, borderMode);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::cornerMinEigenVal(d_img, d_dst, d_Dx, d_Dy, d_buf, blockSize, apertureSize, borderMode);\r
+        cv::Mat dst;\r
+\r
+        cv::cornerMinEigenVal(img, dst, blockSize, apertureSize, borderMode);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::cornerMinEigenVal(img, dst, blockSize, apertureSize, borderMode);\r
+        }\r
     }\r
 }\r
 \r
@@ -866,14 +1205,21 @@ PERF_TEST_P(Sz, ImgProc_BuildWarpPlaneMaps, GPU_TYPICAL_MAT_SIZES)
     cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1);\r
     cv::Mat T = cv::Mat::zeros(1, 3, CV_32F);\r
 \r
-    cv::gpu::GpuMat d_map_x;\r
-    cv::gpu::GpuMat d_map_y;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_map_x;\r
+        cv::gpu::GpuMat d_map_y;\r
 \r
-    cv::gpu::buildWarpPlaneMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, T, 1.0, d_map_x, d_map_y);\r
+        cv::gpu::buildWarpPlaneMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, T, 1.0, d_map_x, d_map_y);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::buildWarpPlaneMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, T, 1.0, d_map_x, d_map_y);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::buildWarpPlaneMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, T, 1.0, d_map_x, d_map_y);\r
+        FAIL();\r
     }\r
 }\r
 \r
@@ -887,14 +1233,21 @@ PERF_TEST_P(Sz, ImgProc_BuildWarpCylindricalMaps, GPU_TYPICAL_MAT_SIZES)
     cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1);\r
     cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1);\r
 \r
-    cv::gpu::GpuMat d_map_x;\r
-    cv::gpu::GpuMat d_map_y;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_map_x;\r
+        cv::gpu::GpuMat d_map_y;\r
 \r
-    cv::gpu::buildWarpCylindricalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, d_map_x, d_map_y);\r
+        cv::gpu::buildWarpCylindricalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, d_map_x, d_map_y);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::buildWarpCylindricalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, d_map_x, d_map_y);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::buildWarpCylindricalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, d_map_x, d_map_y);\r
+        FAIL();\r
     }\r
 }\r
 \r
@@ -908,14 +1261,21 @@ PERF_TEST_P(Sz, ImgProc_BuildWarpSphericalMaps, GPU_TYPICAL_MAT_SIZES)
     cv::Mat K = cv::Mat::eye(3, 3, CV_32FC1);\r
     cv::Mat R = cv::Mat::ones(3, 3, CV_32FC1);\r
 \r
-    cv::gpu::GpuMat d_map_x;\r
-    cv::gpu::GpuMat d_map_y;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_map_x;\r
+        cv::gpu::GpuMat d_map_y;\r
 \r
-    cv::gpu::buildWarpSphericalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, d_map_x, d_map_y);\r
+        cv::gpu::buildWarpSphericalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, d_map_x, d_map_y);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::buildWarpSphericalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, d_map_x, d_map_y);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::buildWarpSphericalMaps(size, cv::Rect(0, 0, size.width, size.height), K, R, 1.0, d_map_x, d_map_y);\r
+        FAIL();\r
     }\r
 }\r
 \r
@@ -927,7 +1287,7 @@ DEF_PARAM_TEST(Sz_Depth_Cn_Inter, cv::Size, MatDepth, int, Interpolation);
 PERF_TEST_P(Sz_Depth_Cn_Inter, ImgProc_Rotate, Combine(\r
     GPU_TYPICAL_MAT_SIZES,\r
     Values(CV_8U, CV_16U, CV_32F),\r
-    Values(1, 3, 4),\r
+    GPU_CHANNELS_1_3_4,\r
     Values(Interpolation(cv::INTER_NEAREST), Interpolation(cv::INTER_LINEAR), Interpolation(cv::INTER_CUBIC))))\r
 {\r
     cv::Size size = GET_PARAM(0);\r
@@ -940,14 +1300,21 @@ PERF_TEST_P(Sz_Depth_Cn_Inter, ImgProc_Rotate, Combine(
     cv::Mat src(size, type);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::rotate(d_src, d_dst, size, 30.0, 0, 0, interpolation);\r
+        cv::gpu::rotate(d_src, d_dst, size, 30.0, 0, 0, interpolation);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::rotate(d_src, d_dst, size, 30.0, 0, 0, interpolation);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::rotate(d_src, d_dst, size, 30.0, 0, 0, interpolation);\r
+        FAIL();\r
     }\r
 }\r
 \r
@@ -957,7 +1324,7 @@ PERF_TEST_P(Sz_Depth_Cn_Inter, ImgProc_Rotate, Combine(
 PERF_TEST_P(Sz_Depth_Cn, ImgProc_PyrDown, Combine(\r
     GPU_TYPICAL_MAT_SIZES,\r
     Values(CV_8U, CV_16U, CV_32F),\r
-    Values(1, 3, 4)))\r
+    GPU_CHANNELS_1_3_4))\r
 {\r
     cv::Size size = GET_PARAM(0);\r
     int depth = GET_PARAM(1);\r
@@ -968,14 +1335,28 @@ PERF_TEST_P(Sz_Depth_Cn, ImgProc_PyrDown, Combine(
     cv::Mat src(size, type);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::pyrDown(d_src, d_dst);\r
+        cv::gpu::pyrDown(d_src, d_dst);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::pyrDown(d_src, d_dst);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::pyrDown(d_src, d_dst);\r
+        cv::Mat dst;\r
+\r
+        cv::pyrDown(src, dst);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::pyrDown(src, dst);\r
+        }\r
     }\r
 }\r
 \r
@@ -985,7 +1366,7 @@ PERF_TEST_P(Sz_Depth_Cn, ImgProc_PyrDown, Combine(
 PERF_TEST_P(Sz_Depth_Cn, ImgProc_PyrUp, Combine(\r
     GPU_TYPICAL_MAT_SIZES,\r
     Values(CV_8U, CV_16U, CV_32F),\r
-    Values(1, 3, 4)))\r
+    GPU_CHANNELS_1_3_4))\r
 {\r
     cv::Size size = GET_PARAM(0);\r
     int depth = GET_PARAM(1);\r
@@ -996,14 +1377,28 @@ PERF_TEST_P(Sz_Depth_Cn, ImgProc_PyrUp, Combine(
     cv::Mat src(size, type);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::pyrUp(d_src, d_dst);\r
+        cv::gpu::pyrUp(d_src, d_dst);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::pyrUp(d_src, d_dst);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::pyrUp(d_src, d_dst);\r
+        cv::Mat dst;\r
+\r
+        cv::pyrUp(src, dst);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::pyrUp(src, dst);\r
+        }\r
     }\r
 }\r
 \r
@@ -1049,14 +1444,28 @@ PERF_TEST_P(Sz_Depth_Code, ImgProc_CvtColor, Combine(
     cv::Mat src(size, CV_MAKETYPE(depth, info.scn));\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::cvtColor(d_src, d_dst, info.code, info.dcn);\r
+        cv::gpu::cvtColor(d_src, d_dst, info.code, info.dcn);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::cvtColor(d_src, d_dst, info.code, info.dcn);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::cvtColor(d_src, d_dst, info.code, info.dcn);\r
+        cv::Mat dst;\r
+\r
+        cv::cvtColor(src, dst, info.code, info.dcn);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::cvtColor(src, dst, info.code, info.dcn);\r
+        }\r
     }\r
 }\r
 \r
@@ -1072,13 +1481,20 @@ PERF_TEST_P(Sz, ImgProc_SwapChannels, GPU_TYPICAL_MAT_SIZES)
 \r
     const int dstOrder[] = {2, 1, 0, 3};\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
 \r
-    cv::gpu::swapChannels(d_src, dstOrder);\r
+        cv::gpu::swapChannels(d_src, dstOrder);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::swapChannels(d_src, dstOrder);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::swapChannels(d_src, dstOrder);\r
+        FAIL();\r
     }\r
 }\r
 \r
@@ -1102,22 +1518,29 @@ PERF_TEST_P(Sz_Type_Op, ImgProc_AlphaComp, Combine(GPU_TYPICAL_MAT_SIZES, Values
     cv::Mat img2(size, type);\r
     fillRandom(img2);\r
 \r
-    cv::gpu::GpuMat d_img1(img1);\r
-    cv::gpu::GpuMat d_img2(img2);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_img1(img1);\r
+        cv::gpu::GpuMat d_img2(img2);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::alphaComp(d_img1, d_img2, d_dst, alpha_op);\r
+        cv::gpu::alphaComp(d_img1, d_img2, d_dst, alpha_op);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::alphaComp(d_img1, d_img2, d_dst, alpha_op);\r
+        }\r
+    }\r
+    else\r
     {\r
-        cv::gpu::alphaComp(d_img1, d_img2, d_dst, alpha_op);\r
+        FAIL();\r
     }\r
 }\r
 \r
 //////////////////////////////////////////////////////////////////////\r
 // ImagePyramidBuild\r
 \r
-PERF_TEST_P(Sz_Depth_Cn, ImgProc_ImagePyramidBuild, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F), Values(1, 3, 4)))\r
+PERF_TEST_P(Sz_Depth_Cn, ImgProc_ImagePyramidBuild, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F), GPU_CHANNELS_1_3_4))\r
 {\r
     cv::Size size = GET_PARAM(0);\r
     int depth = GET_PARAM(1);\r
@@ -1128,22 +1551,29 @@ PERF_TEST_P(Sz_Depth_Cn, ImgProc_ImagePyramidBuild, Combine(GPU_TYPICAL_MAT_SIZE
     cv::Mat src(size, type);\r
     fillRandom(src);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
 \r
-    cv::gpu::ImagePyramid d_pyr;\r
+        cv::gpu::ImagePyramid d_pyr;\r
 \r
-    d_pyr.build(d_src, 5);\r
+        d_pyr.build(d_src, 5);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            d_pyr.build(d_src, 5);\r
+        }\r
+    }\r
+    else\r
     {\r
-        d_pyr.build(d_src, 5);\r
+        FAIL();\r
     }\r
 }\r
 \r
 //////////////////////////////////////////////////////////////////////\r
 // ImagePyramidGetLayer\r
 \r
-PERF_TEST_P(Sz_Depth_Cn, ImgProc_ImagePyramidGetLayer, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F), Values(1, 3, 4)))\r
+PERF_TEST_P(Sz_Depth_Cn, ImgProc_ImagePyramidGetLayer, Combine(GPU_TYPICAL_MAT_SIZES, Values(CV_8U, CV_16U, CV_32F), GPU_CHANNELS_1_3_4))\r
 {\r
     cv::Size size = GET_PARAM(0);\r
     int depth = GET_PARAM(1);\r
@@ -1156,40 +1586,44 @@ PERF_TEST_P(Sz_Depth_Cn, ImgProc_ImagePyramidGetLayer, Combine(GPU_TYPICAL_MAT_S
 \r
     cv::Size dstSize(size.width / 2 + 10, size.height / 2 + 10);\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_dst;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_dst;\r
 \r
-    cv::gpu::ImagePyramid d_pyr(d_src, 3);\r
+        cv::gpu::ImagePyramid d_pyr(d_src, 3);\r
 \r
-    d_pyr.getLayer(d_dst, dstSize);\r
+        d_pyr.getLayer(d_dst, dstSize);\r
 \r
-    TEST_CYCLE()\r
+        TEST_CYCLE()\r
+        {\r
+            d_pyr.getLayer(d_dst, dstSize);\r
+        }\r
+    }\r
+    else\r
     {\r
-        d_pyr.getLayer(d_dst, dstSize);\r
+        FAIL();\r
     }\r
 }\r
 \r
 //////////////////////////////////////////////////////////////////////\r
 // HoughLines\r
 \r
-DEF_PARAM_TEST(Sz_DoSort, cv::Size, bool);\r
-\r
-PERF_TEST_P(Sz_DoSort, ImgProc_HoughLines, Combine(GPU_TYPICAL_MAT_SIZES, Bool()))\r
+PERF_TEST_P(Sz, ImgProc_HoughLines, GPU_TYPICAL_MAT_SIZES)\r
 {\r
     declare.time(30.0);\r
 \r
-    const cv::Size size = GET_PARAM(0);\r
-    const bool doSort = GET_PARAM(1);\r
+    const cv::Size size = GetParam();\r
 \r
     const float rho = 1.0f;\r
-    const float theta = CV_PI / 180.0f;\r
+    const float theta = static_cast<float>(CV_PI / 180.0);\r
     const int threshold = 300;\r
 \r
     cv::RNG rng(123456789);\r
 \r
     cv::Mat src(size, CV_8UC1, cv::Scalar::all(0));\r
 \r
-    const int numLines = rng.uniform(500, 2000);\r
+    const int numLines = rng.uniform(100, 300);\r
     for (int i = 0; i < numLines; ++i)\r
     {\r
         cv::Point p1(rng.uniform(0, src.cols), rng.uniform(0, src.rows));\r
@@ -1197,16 +1631,179 @@ PERF_TEST_P(Sz_DoSort, ImgProc_HoughLines, Combine(GPU_TYPICAL_MAT_SIZES, Bool()
         cv::line(src, p1, p2, cv::Scalar::all(255), 2);\r
     }\r
 \r
-    cv::gpu::GpuMat d_src(src);\r
-    cv::gpu::GpuMat d_lines;\r
-    cv::gpu::GpuMat d_accum;\r
-    cv::gpu::GpuMat d_buf;\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_lines;\r
+        cv::gpu::HoughLinesBuf d_buf;\r
+\r
+        cv::gpu::HoughLines(d_src, d_lines, d_buf, rho, theta, threshold);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::HoughLines(d_src, d_lines, d_buf, rho, theta, threshold);\r
+        }\r
+    }\r
+    else\r
+    {\r
+        std::vector<cv::Vec2f> lines;\r
+        cv::HoughLines(src, lines, rho, theta, threshold);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::HoughLines(src, lines, rho, theta, threshold);\r
+        }\r
+    }\r
+}\r
+\r
+//////////////////////////////////////////////////////////////////////\r
+// HoughCircles\r
+\r
+DEF_PARAM_TEST(Sz_Dp_MinDist, cv::Size, float, float);\r
+\r
+PERF_TEST_P(Sz_Dp_MinDist, ImgProc_HoughCircles, Combine(GPU_TYPICAL_MAT_SIZES, Values(1.0f, 2.0f, 4.0f), Values(1.0f, 10.0f)))\r
+{\r
+    declare.time(30.0);\r
+\r
+    const cv::Size size = GET_PARAM(0);\r
+    const float dp = GET_PARAM(1);\r
+    const float minDist = GET_PARAM(2);\r
+\r
+    const int minRadius = 10;\r
+    const int maxRadius = 30;\r
+    const int cannyThreshold = 100;\r
+    const int votesThreshold = 15;\r
+\r
+    cv::RNG rng(123456789);\r
+\r
+    cv::Mat src(size, CV_8UC1, cv::Scalar::all(0));\r
+\r
+    const int numCircles = rng.uniform(50, 100);\r
+    for (int i = 0; i < numCircles; ++i)\r
+    {\r
+        cv::Point center(rng.uniform(0, src.cols), rng.uniform(0, src.rows));\r
+        const int radius = rng.uniform(minRadius, maxRadius + 1);\r
+\r
+        cv::circle(src, center, radius, cv::Scalar::all(255), -1);\r
+    }\r
+\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_src(src);\r
+        cv::gpu::GpuMat d_circles;\r
+        cv::gpu::HoughCirclesBuf d_buf;\r
+\r
+        cv::gpu::HoughCircles(d_src, d_circles, d_buf, CV_HOUGH_GRADIENT, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::gpu::HoughCircles(d_src, d_circles, d_buf, CV_HOUGH_GRADIENT, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius);\r
+        }\r
+    }\r
+    else\r
+    {\r
+        std::vector<cv::Vec3f> circles;\r
+\r
+        cv::HoughCircles(src, circles, CV_HOUGH_GRADIENT, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            cv::HoughCircles(src, circles, CV_HOUGH_GRADIENT, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius);\r
+        }\r
+    }\r
+}\r
+\r
+//////////////////////////////////////////////////////////////////////\r
+// GeneralizedHough\r
 \r
-    cv::gpu::HoughLines(d_src, d_lines, d_accum, d_buf, rho, theta, threshold, doSort);\r
+CV_FLAGS(GHMethod, cv::GHT_POSITION, cv::GHT_SCALE, cv::GHT_ROTATION);\r
+\r
+DEF_PARAM_TEST(Method_Sz, GHMethod, cv::Size);\r
+\r
+PERF_TEST_P(Method_Sz, GeneralizedHough, Combine(\r
+            Values(GHMethod(cv::GHT_POSITION), GHMethod(cv::GHT_POSITION | cv::GHT_SCALE), GHMethod(cv::GHT_POSITION | cv::GHT_ROTATION), GHMethod(cv::GHT_POSITION | cv::GHT_SCALE | cv::GHT_ROTATION)),\r
+            GPU_TYPICAL_MAT_SIZES))\r
+{\r
+    declare.time(10);\r
 \r
-    TEST_CYCLE()\r
+    const int method = GET_PARAM(0);\r
+    const cv::Size imageSize = GET_PARAM(1);\r
+\r
+    const cv::Mat templ = readImage("cv/shared/templ.png", cv::IMREAD_GRAYSCALE);\r
+    ASSERT_FALSE(templ.empty());\r
+\r
+    cv::Mat image(imageSize, CV_8UC1, cv::Scalar::all(0));\r
+\r
+    cv::RNG rng(123456789);\r
+    const int objCount = rng.uniform(5, 15);\r
+    for (int i = 0; i < objCount; ++i)\r
     {\r
-        cv::gpu::HoughLines(d_src, d_lines, d_accum, d_buf, rho, theta, threshold, doSort);\r
+        double scale = rng.uniform(0.7, 1.3);\r
+        bool rotate = rng.uniform(0, 2);\r
+\r
+        cv::Mat obj;\r
+        cv::resize(templ, obj, cv::Size(), scale, scale);\r
+        if (rotate)\r
+            obj = obj.t();\r
+\r
+        cv::Point pos;\r
+\r
+        pos.x = rng.uniform(0, image.cols - obj.cols);\r
+        pos.y = rng.uniform(0, image.rows - obj.rows);\r
+\r
+        cv::Mat roi = image(cv::Rect(pos, obj.size()));\r
+        cv::add(roi, obj, roi);\r
+    }\r
+\r
+    cv::Mat edges;\r
+    cv::Canny(image, edges, 50, 100);\r
+\r
+    cv::Mat dx, dy;\r
+    cv::Sobel(image, dx, CV_32F, 1, 0);\r
+    cv::Sobel(image, dy, CV_32F, 0, 1);\r
+\r
+    if (runOnGpu)\r
+    {\r
+        cv::gpu::GpuMat d_edges(edges);\r
+        cv::gpu::GpuMat d_dx(dx);\r
+        cv::gpu::GpuMat d_dy(dy);\r
+        cv::gpu::GpuMat d_position;\r
+\r
+        cv::Ptr<cv::gpu::GeneralizedHough_GPU> d_hough = cv::gpu::GeneralizedHough_GPU::create(method);\r
+        if (method & cv::GHT_ROTATION)\r
+        {\r
+            d_hough->set("maxAngle", 90.0);\r
+            d_hough->set("angleStep", 2.0);\r
+        }\r
+\r
+        d_hough->setTemplate(cv::gpu::GpuMat(templ));\r
+\r
+        d_hough->detect(d_edges, d_dx, d_dy, d_position);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            d_hough->detect(d_edges, d_dx, d_dy, d_position);\r
+        }\r
+    }\r
+    else\r
+    {\r
+        cv::Mat positions;\r
+\r
+        cv::Ptr<cv::GeneralizedHough> hough = cv::GeneralizedHough::create(method);\r
+        if (method & cv::GHT_ROTATION)\r
+        {\r
+            hough->set("maxAngle", 90.0);\r
+            hough->set("angleStep", 2.0);\r
+        }\r
+\r
+        hough->setTemplate(templ);\r
+\r
+        hough->detect(edges, dx, dy, positions);\r
+\r
+        TEST_CYCLE()\r
+        {\r
+            hough->detect(edges, dx, dy, positions);\r
+        }\r
     }\r
 }\r
 \r
Domain: Multimedia / Uncategorized;