split gpuvideo onto gpuoptflow and gpubgsegm

modules/gpuimgproc/doc/image_processing.rst

@@ -556,3 +556,34 @@ Downloads results from :ocv:func:`gpu::HoughCircles` to host memory.
     :param h_circles: Output host array.
 
 .. seealso:: :ocv:func:`gpu::HoughCircles`
+
+
+
+gpu::GoodFeaturesToTrackDetector_GPU
+------------------------------------
+.. ocv:class:: gpu::GoodFeaturesToTrackDetector_GPU
+
+Class used for strong corners detection on an image. ::
+
+    class GoodFeaturesToTrackDetector_GPU
+    {
+    public:
+        explicit GoodFeaturesToTrackDetector_GPU(int maxCorners_ = 1000, double qualityLevel_ = 0.01, double minDistance_ = 0.0,
+            int blockSize_ = 3, bool useHarrisDetector_ = false, double harrisK_ = 0.04);
+
+        void operator ()(const GpuMat& image, GpuMat& corners, const GpuMat& mask = GpuMat());
+
+        int maxCorners;
+        double qualityLevel;
+        double minDistance;
+
+        int blockSize;
+        bool useHarrisDetector;
+        double harrisK;
+
+        void releaseMemory();
+    };
+
+The class finds the most prominent corners in the image.
+
+.. seealso:: :ocv:func:`goodFeaturesToTrack`

modules/gpuimgproc/perf/perf_imgproc.cpp

@@ -1092,3 +1092,42 @@ PERF_TEST_P(Sz_Depth_Cn_KernelSz, BilateralFilter,
         CPU_SANITY_CHECK(dst);
     }
 }
+
+//////////////////////////////////////////////////////
+// GoodFeaturesToTrack
+
+DEF_PARAM_TEST(Image_MinDistance, string, double);
+
+PERF_TEST_P(Image_MinDistance, GoodFeaturesToTrack,
+            Combine(Values<string>("gpu/perf/aloe.png"),
+                    Values(0.0, 3.0)))
+{
+    const string fileName = GET_PARAM(0);
+    const double minDistance = GET_PARAM(1);
+
+    const cv::Mat image = readImage(fileName, cv::IMREAD_GRAYSCALE);
+    ASSERT_FALSE(image.empty());
+
+    const int maxCorners = 8000;
+    const double qualityLevel = 0.01;
+
+    if (PERF_RUN_GPU())
+    {
+        cv::gpu::GoodFeaturesToTrackDetector_GPU d_detector(maxCorners, qualityLevel, minDistance);
+
+        const cv::gpu::GpuMat d_image(image);
+        cv::gpu::GpuMat pts;
+
+        TEST_CYCLE() d_detector(d_image, pts);
+
+        GPU_SANITY_CHECK(pts);
+    }
+    else
+    {
+        cv::Mat pts;
+
+        TEST_CYCLE() cv::goodFeaturesToTrack(image, pts, maxCorners, qualityLevel, minDistance);
+
+        CPU_SANITY_CHECK(pts);
+    }
+}