fixed gpu::Laplacian

fixed gpu performance sample

modules/gpu/include/opencv2/gpu/gpu.hpp

@@ -395,7 +395,7 @@ CV_EXPORTS void GaussianBlur(const GpuMat& src, GpuMat& dst, Size ksize, GpuMat&
 
 //! applies Laplacian operator to the image
 //! supports only ksize = 1 and ksize = 3
-CV_EXPORTS void Laplacian(const GpuMat& src, GpuMat& dst, int ddepth, int ksize = 1, double scale = 1, Stream& stream = Stream::Null());
+CV_EXPORTS void Laplacian(const GpuMat& src, GpuMat& dst, int ddepth, int ksize = 1, double scale = 1, int borderType = BORDER_DEFAULT, Stream& stream = Stream::Null());
 
 
 ////////////////////////////// Arithmetics ///////////////////////////////////

modules/gpu/src/filtering.cpp

@@ -87,7 +87,7 @@ void cv::gpu::Scharr(const GpuMat&, GpuMat&, int, int, int, double, int, int) {
 void cv::gpu::Scharr(const GpuMat&, GpuMat&, int, int, int, GpuMat&, double, int, int, Stream&) { throw_nogpu(); }
 void cv::gpu::GaussianBlur(const GpuMat&, GpuMat&, Size, double, double, int, int) { throw_nogpu(); }
 void cv::gpu::GaussianBlur(const GpuMat&, GpuMat&, Size, GpuMat&, double, double, int, int, Stream&) { throw_nogpu(); }
-void cv::gpu::Laplacian(const GpuMat&, GpuMat&, int, int, double, Stream&) { throw_nogpu(); }
+void cv::gpu::Laplacian(const GpuMat&, GpuMat&, int, int, double, int, Stream&) { throw_nogpu(); }
 
 #else
 
@@ -1193,7 +1193,7 @@ void cv::gpu::Scharr(const GpuMat& src, GpuMat& dst, int ddepth, int dx, int dy,
     sepFilter2D(src, dst, ddepth, kx, ky, buf, Point(-1,-1), rowBorderType, columnBorderType, stream);
 }
 
-void cv::gpu::Laplacian(const GpuMat& src, GpuMat& dst, int ddepth, int ksize, double scale, Stream& stream)
+void cv::gpu::Laplacian(const GpuMat& src, GpuMat& dst, int ddepth, int ksize, double scale, int borderType, Stream& stream)
 {
     CV_Assert(ksize == 1 || ksize == 3);
 
@@ -1206,7 +1206,7 @@ void cv::gpu::Laplacian(const GpuMat& src, GpuMat& dst, int ddepth, int ksize, d
     if (scale != 1)
         kernel *= scale;
 
-    filter2D(src, dst, ddepth, kernel, Point(-1,-1), stream);
+    filter2D(src, dst, ddepth, kernel, Point(-1,-1), borderType, stream);
 }
 
 ////////////////////////////////////////////////////////////////////////////////////////////////////

modules/gpu/test/test_filters.cpp

@@ -334,10 +334,7 @@ TEST_P(Laplacian, Accuracy)
     cv::Mat dst_gold;
     cv::Laplacian(src, dst_gold, -1, ksize.width);
 
-    if (type == CV_32FC1)
     EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
-    else
-        EXPECT_MAT_NEAR(getInnerROI(dst_gold, cv::Size(3, 3)), getInnerROI(dst, cv::Size(3, 3)), 0.0);
 }
 
 INSTANTIATE_TEST_CASE_P(GPU_Filter, Laplacian, testing::Combine(

samples/gpu/performance/tests.cpp

@@ -273,7 +273,7 @@ TEST(SURF)
 
     SURF surf;
     vector<KeyPoint> keypoints;
-    vector<float> descriptors;
+    Mat descriptors;
 
     surf(src, Mat(), keypoints, descriptors);
 
@@ -899,7 +899,6 @@ TEST(solvePnPRansac)
     }
 }
 
-
 TEST(GaussianBlur)
 {
     for (int size = 1000; size <= 4000; size += 1000)
@@ -928,6 +927,39 @@ TEST(GaussianBlur)
     }
 }
 
+TEST(filter2D)
+{
+    for (int size = 512; size <= 2048; size *= 2)
+    {
+        Mat src;
+        gen(src, size, size, CV_8UC4, 0, 256);
+                
+        for (int ksize = 3; ksize <= 16; ksize += 2)
+        {        
+            SUBTEST << "ksize = " << ksize << ", " << size << 'x' << size << ", 8UC4";
+            
+            Mat kernel;
+            gen(kernel, ksize, ksize, CV_32FC1, 0.0, 1.0);
+
+            Mat dst;
+            cv::filter2D(src, dst, -1, kernel);
+
+            CPU_ON;
+            cv::filter2D(src, dst, -1, kernel);
+            CPU_OFF;
+
+            gpu::GpuMat d_src(src);
+            gpu::GpuMat d_dst;
+
+            gpu::filter2D(d_src, d_dst, -1, kernel);
+
+            GPU_ON;
+            gpu::filter2D(d_src, d_dst, -1, kernel);
+            GPU_OFF;
+        }
+    }
+}
+
 TEST(pyrDown)
 {
     for (int size = 4000; size >= 1000; size -= 1000)