fixed unused warnings

modules/gpu/perf/perf_core.cpp

@@ -1607,6 +1607,7 @@ GPU_PERF_TEST(Norm, cv::gpu::DeviceInfo, cv::Size, MatDepth, NormType)
     {
         dst = cv::gpu::norm(src, normType, buf);
     }
+    (void)dst;
 }
 
 INSTANTIATE_TEST_CASE_P(Core, Norm, testing::Combine(
@@ -1642,6 +1643,7 @@ GPU_PERF_TEST(NormDiff, cv::gpu::DeviceInfo, cv::Size, NormType)
     {
         dst = cv::gpu::norm(src1, src2, normType);
     }
+    (void)dst;
 }
 
 INSTANTIATE_TEST_CASE_P(Core, NormDiff, testing::Combine(
@@ -1829,6 +1831,7 @@ GPU_PERF_TEST(CountNonZero, cv::gpu::DeviceInfo, cv::Size, MatDepth)
     {
         dst = cv::gpu::countNonZero(src, buf);
     }
+    (void)dst;
 }
 
 INSTANTIATE_TEST_CASE_P(Core, CountNonZero, testing::Combine(

modules/gpu/perf_cpu/perf_core.cpp

@@ -1229,6 +1229,7 @@ GPU_PERF_TEST(Norm, cv::gpu::DeviceInfo, cv::Size, MatDepth, NormType)
     {
         dst = cv::norm(src, normType);
     }
+    (void)dst;
 }
 
 INSTANTIATE_TEST_CASE_P(Core, Norm, testing::Combine(
@@ -1259,6 +1260,7 @@ GPU_PERF_TEST(NormDiff, cv::gpu::DeviceInfo, cv::Size, NormType)
     {
         dst = cv::norm(src1, src2, normType);
     }
+    (void)dst;
 }
 
 INSTANTIATE_TEST_CASE_P(Core, NormDiff, testing::Combine(
@@ -1338,6 +1340,7 @@ GPU_PERF_TEST(CountNonZero, cv::gpu::DeviceInfo, cv::Size, MatDepth)
     {
         dst = cv::countNonZero(src);
     }
+    (void)dst;
 }
 
 INSTANTIATE_TEST_CASE_P(Core, CountNonZero, testing::Combine(

modules/gpu/src/calib3d.cpp

@@ -214,6 +214,7 @@ void cv::gpu::solvePnPRansac(const Mat& object, const Mat& image, const Mat& cam
                              int num_iters, float max_dist, int min_inlier_count,
                              vector<int>* inliers)
 {
+    (void)min_inlier_count;
     CV_Assert(object.rows == 1 && object.cols > 0 && object.type() == CV_32FC3);
     CV_Assert(image.rows == 1 && image.cols > 0 && image.type() == CV_32FC2);
     CV_Assert(object.cols == image.cols);

modules/gpu/src/cascadeclassifier.cpp

@@ -143,7 +143,7 @@ public:
     }
 
     unsigned int process(const GpuMat& image, GpuMat& objectsBuf, float scaleFactor, int minNeighbors,
-                      bool findLargestObject, bool visualizeInPlace, cv::Size minSize, cv::Size maxObjectSize)
+                      bool findLargestObject, bool visualizeInPlace, cv::Size minSize, cv::Size /*maxObjectSize*/)
     {
         CV_Assert( scaleFactor > 1 && image.depth() == CV_8U);
 
@@ -380,12 +380,12 @@ public:
     LbpCascade(){}
     virtual ~LbpCascade(){}
 
-    virtual unsigned int process(const GpuMat& image, GpuMat& objects, float scaleFactor, int groupThreshold, bool findLargestObject,
-        bool visualizeInPlace, cv::Size minObjectSize, cv::Size maxObjectSize)
+    virtual unsigned int process(const GpuMat& image, GpuMat& objects, float scaleFactor, int groupThreshold, bool /*findLargestObject*/,
+        bool /*visualizeInPlace*/, cv::Size minObjectSize, cv::Size maxObjectSize)
     {
         CV_Assert(scaleFactor > 1 && image.depth() == CV_8U);
 
-        const int defaultObjSearchNum = 100;
+        // const int defaultObjSearchNum = 100;
         const float grouping_eps = 0.2f;
 
         if( !objects.empty() && objects.depth() == CV_32S)

modules/gpu/src/match_template.cpp

@@ -227,6 +227,7 @@ namespace
     void matchTemplate_SQDIFF_32F(
             const GpuMat& image, const GpuMat& templ, GpuMat& result, MatchTemplateBuf &buf, Stream& stream)
     {
+        (void)buf;
         result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);
         matchTemplateNaive_SQDIFF_32F(image, templ, result, image.channels(), StreamAccessor::getStream(stream));
     }

modules/gpu/src/split_merge.cpp

@@ -119,7 +119,6 @@ namespace
 
         int depth = src.depth();
         int num_channels = src.channels();
-        Size size = src.size();
 
         if (depth == CV_64F)
         {

modules/gpu/test/test_objdetect.cpp

@@ -351,21 +351,22 @@ TEST_P(LBP_classify, Accuracy)
     cv::gpu::GpuMat tested(grey);
     int count = gpuClassifier.detectMultiScale(tested, gpu_rects);
 
+#if defined (LOG_CASCADE_STATISTIC)
     cv::Mat downloaded(gpu_rects);
     const cv::Rect* faces = downloaded.ptr<cv::Rect>();
     for (int i = 0; i < count; i++)
     {
         cv::Rect r = faces[i];
 
-#if defined (LOG_CASCADE_STATISTIC)
         std::cout << r.x << " " << r.y  << " " << r.width << " " << r.height << std::endl;
         cv::rectangle(markedImage, r , CV_RGB(255, 0, 0));
-#endif
     }
+#endif
 
 #if defined (LOG_CASCADE_STATISTIC)
     cv::imshow("Res", markedImage); cv::waitKey();
 #endif
+    (void)count;
 }
 
 INSTANTIATE_TEST_CASE_P(GPU_ObjDetect, LBP_classify,