refactored cornerHarris and cornerMinEigenVal

* converted it into Algorithm

modules/gpuimgproc/include/opencv2/gpuimgproc.hpp

@@ -362,17 +362,37 @@ public:
 
 ////////////////////////// Corners Detection ///////////////////////////
 
+class CV_EXPORTS CornernessCriteria : public Algorithm
+{
+public:
+    virtual void compute(InputArray src, OutputArray dst, Stream& stream = Stream::Null()) = 0;
+};
+
 //! computes Harris cornerness criteria at each image pixel
-CV_EXPORTS void cornerHarris(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, double k, int borderType = BORDER_REFLECT101);
+CV_EXPORTS Ptr<CornernessCriteria> createHarrisCorner(int srcType, int blockSize, int ksize, double k, int borderType = BORDER_REFLECT101);
-CV_EXPORTS void cornerHarris(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, int blockSize, int ksize, double k, int borderType = BORDER_REFLECT101);
-CV_EXPORTS void cornerHarris(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, GpuMat& buf, int blockSize, int ksize, double k,
-                             int borderType = BORDER_REFLECT101, Stream& stream = Stream::Null());
 
 //! computes minimum eigen value of 2x2 derivative covariation matrix at each pixel - the cornerness criteria
-CV_EXPORTS void cornerMinEigenVal(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, int borderType=BORDER_REFLECT101);
+CV_EXPORTS Ptr<CornernessCriteria> createMinEigenValCorner(int srcType, int blockSize, int ksize, int borderType = BORDER_REFLECT101);
-CV_EXPORTS void cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, int blockSize, int ksize, int borderType=BORDER_REFLECT101);
+
-CV_EXPORTS void cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, GpuMat& buf, int blockSize, int ksize,
+// obsolete
-    int borderType=BORDER_REFLECT101, Stream& stream = Stream::Null());
+
+__OPENCV_GPUIMGPROC_DEPR_BEFORE__ void cornerHarris(InputArray src, OutputArray dst,
+                                                    int blockSize, int ksize, double k, int borderType = BORDER_REFLECT101,
+                                                    Stream& stream = Stream::Null()) __OPENCV_GPUIMGPROC_DEPR_AFTER__;
+
+inline void cornerHarris(InputArray src, OutputArray dst, int blockSize, int ksize, double k, int borderType, Stream& stream)
+{
+    gpu::createHarrisCorner(src.type(), blockSize, ksize, k, borderType)->compute(src, dst, stream);
+}
+
+__OPENCV_GPUIMGPROC_DEPR_BEFORE__ void cornerMinEigenVal(InputArray src, OutputArray dst,
+                                                         int blockSize, int ksize, int borderType = BORDER_REFLECT101,
+                                                         Stream& stream = Stream::Null()) __OPENCV_GPUIMGPROC_DEPR_AFTER__;
+
+inline void cornerMinEigenVal(InputArray src, OutputArray dst, int blockSize, int ksize, int borderType, Stream& stream)
+{
+    gpu::createMinEigenValCorner(src.type(), blockSize, ksize, borderType)->compute(src, dst, stream);
+}
 
 ////////////////////////// Feature Detection ///////////////////////////
 

modules/gpuimgproc/perf/perf_corners.cpp

@@ -75,11 +75,10 @@ PERF_TEST_P(Image_Type_Border_BlockSz_ApertureSz, CornerHarris,
     {
         const cv::gpu::GpuMat d_img(img);
         cv::gpu::GpuMat dst;
-        cv::gpu::GpuMat d_Dx;
-        cv::gpu::GpuMat d_Dy;
-        cv::gpu::GpuMat d_buf;
 
-        TEST_CYCLE() cv::gpu::cornerHarris(d_img, dst, d_Dx, d_Dy, d_buf, blockSize, apertureSize, k, borderMode);
+        cv::Ptr<cv::gpu::CornernessCriteria> harris = cv::gpu::createHarrisCorner(img.type(), blockSize, apertureSize, k, borderMode);
+
+        TEST_CYCLE() harris->compute(d_img, dst);
 
         GPU_SANITY_CHECK(dst, 1e-4);
     }
@@ -118,11 +117,10 @@ PERF_TEST_P(Image_Type_Border_BlockSz_ApertureSz, CornerMinEigenVal,
     {
         const cv::gpu::GpuMat d_img(img);
         cv::gpu::GpuMat dst;
-        cv::gpu::GpuMat d_Dx;
-        cv::gpu::GpuMat d_Dy;
-        cv::gpu::GpuMat d_buf;
 
-        TEST_CYCLE() cv::gpu::cornerMinEigenVal(d_img, dst, d_Dx, d_Dy, d_buf, blockSize, apertureSize, borderMode);
+        cv::Ptr<cv::gpu::CornernessCriteria> minEigenVal = cv::gpu::createMinEigenValCorner(img.type(), blockSize, apertureSize, borderMode);
+
+        TEST_CYCLE() minEigenVal->compute(d_img, dst);
 
         GPU_SANITY_CHECK(dst, 1e-4);
     }

modules/gpuimgproc/src/corners.cpp

@@ -47,13 +47,8 @@ using namespace cv::gpu;
 
 #if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
 
-void cv::gpu::cornerHarris(const GpuMat&, GpuMat&, int, int, double, int) { throw_no_cuda(); }
+Ptr<gpu::CornernessCriteria> cv::gpu::createHarrisCorner(int, int, int, double, int) { throw_no_cuda(); return Ptr<gpu::CornernessCriteria>(); }
-void cv::gpu::cornerHarris(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, int, double, int) { throw_no_cuda(); }
+Ptr<gpu::CornernessCriteria> cv::gpu::createMinEigenValCorner(int, int, int, int) { throw_no_cuda(); return Ptr<gpu::CornernessCriteria>(); }
-void cv::gpu::cornerHarris(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, int, double, int, Stream&) { throw_no_cuda(); }
-
-void cv::gpu::cornerMinEigenVal(const GpuMat&, GpuMat&, int, int, int) { throw_no_cuda(); }
-void cv::gpu::cornerMinEigenVal(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, int, int) { throw_no_cuda(); }
-void cv::gpu::cornerMinEigenVal(const GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, int, int, int, Stream&) { throw_no_cuda(); }
 
 #else /* !defined (HAVE_CUDA) */
 
@@ -68,89 +63,127 @@ namespace cv { namespace gpu { namespace cudev
 
 namespace
 {
-    void extractCovData(const GpuMat& src, GpuMat& Dx, GpuMat& Dy, GpuMat& buf, int blockSize, int ksize, int borderType, Stream& stream)
+    class CornerBase : public CornernessCriteria
     {
-        (void) buf;
+    protected:
+        CornerBase(int srcType, int blockSize, int ksize, int borderType);
 
-        double scale = static_cast<double>(1 << ((ksize > 0 ? ksize : 3) - 1)) * blockSize;
+        void extractCovData(const GpuMat& src, Stream& stream);
 
-        if (ksize < 0)
+        int srcType_;
+        int blockSize_;
+        int ksize_;
+        int borderType_;
+        GpuMat Dx_, Dy_;
+
+    private:
+        Ptr<gpu::Filter> filterDx_, filterDy_;
+    };
+
+    CornerBase::CornerBase(int srcType, int blockSize, int ksize, int borderType) :
+        srcType_(srcType), blockSize_(blockSize), ksize_(ksize), borderType_(borderType)
+    {
+        CV_Assert( borderType_ == BORDER_REFLECT101 || borderType_ == BORDER_REPLICATE || borderType_ == BORDER_REFLECT );
+
+        const int sdepth = CV_MAT_DEPTH(srcType_);
+        const int cn = CV_MAT_CN(srcType_);
+
+        CV_Assert( cn == 1 );
+
+        double scale = static_cast<double>(1 << ((ksize_ > 0 ? ksize_ : 3) - 1)) * blockSize_;
+
+        if (ksize_ < 0)
             scale *= 2.;
 
-        if (src.depth() == CV_8U)
+        if (sdepth == CV_8U)
             scale *= 255.;
 
         scale = 1./scale;
 
-        Dx.create(src.size(), CV_32F);
+        if (ksize_ > 0)
-        Dy.create(src.size(), CV_32F);
-
-        Ptr<gpu::Filter> filterDx, filterDy;
-
-        if (ksize > 0)
         {
-            filterDx = gpu::createSobelFilter(src.type(), CV_32F, 1, 0, ksize, scale, borderType);
+            filterDx_ = gpu::createSobelFilter(srcType, CV_32F, 1, 0, ksize_, scale, borderType_);
-            filterDy = gpu::createSobelFilter(src.type(), CV_32F, 0, 1, ksize, scale, borderType);
+            filterDy_ = gpu::createSobelFilter(srcType, CV_32F, 0, 1, ksize_, scale, borderType_);
         }
         else
         {
-            filterDx = gpu::createScharrFilter(src.type(), CV_32F, 1, 0, scale, borderType);
+            filterDx_ = gpu::createScharrFilter(srcType, CV_32F, 1, 0, scale, borderType_);
-            filterDy = gpu::createScharrFilter(src.type(), CV_32F, 0, 1, scale, borderType);
+            filterDy_ = gpu::createScharrFilter(srcType, CV_32F, 0, 1, scale, borderType_);
+        }
+    }
+
+    void CornerBase::extractCovData(const GpuMat& src, Stream& stream)
+    {
+        CV_Assert( src.type() == srcType_ );
+        filterDx_->apply(src, Dx_, stream);
+        filterDy_->apply(src, Dy_, stream);
+    }
+
+    class Harris : public CornerBase
+    {
+    public:
+        Harris(int srcType, int blockSize, int ksize, double k, int borderType) :
+            CornerBase(srcType, blockSize, ksize, borderType), k_(static_cast<float>(k))
+        {
         }
 
-        filterDx->apply(src, Dx);
+        void compute(InputArray src, OutputArray dst, Stream& stream = Stream::Null());
-        filterDy->apply(src, Dy);
+
+    private:
+        float k_;
+    };
+
+    void Harris::compute(InputArray _src, OutputArray _dst, Stream& stream)
+    {
+        using namespace cv::gpu::cudev::imgproc;
+
+        GpuMat src = _src.getGpuMat();
+
+        extractCovData(src, stream);
+
+        _dst.create(src.size(), CV_32FC1);
+        GpuMat dst = _dst.getGpuMat();
+
+        cornerHarris_gpu(blockSize_, k_, Dx_, Dy_, dst, borderType_, StreamAccessor::getStream(stream));
+    }
+
+    class MinEigenVal : public CornerBase
+    {
+    public:
+        MinEigenVal(int srcType, int blockSize, int ksize, int borderType) :
+            CornerBase(srcType, blockSize, ksize, borderType)
+        {
+        }
+
+        void compute(InputArray src, OutputArray dst, Stream& stream = Stream::Null());
+
+    private:
+        float k_;
+    };
+
+    void MinEigenVal::compute(InputArray _src, OutputArray _dst, Stream& stream)
+    {
+        using namespace cv::gpu::cudev::imgproc;
+
+        GpuMat src = _src.getGpuMat();
+
+        extractCovData(src, stream);
+
+        _dst.create(src.size(), CV_32FC1);
+        GpuMat dst = _dst.getGpuMat();
+
+        cornerMinEigenVal_gpu(blockSize_, Dx_, Dy_, dst, borderType_, StreamAccessor::getStream(stream));
     }
 }
 
-void cv::gpu::cornerHarris(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, double k, int borderType)
+Ptr<gpu::CornernessCriteria> cv::gpu::createHarrisCorner(int srcType, int blockSize, int ksize, double k, int borderType)
 {
-    GpuMat Dx, Dy;
+    return new Harris(srcType, blockSize, ksize, k, borderType);
-    cornerHarris(src, dst, Dx, Dy, blockSize, ksize, k, borderType);
 }
 
-void cv::gpu::cornerHarris(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, int blockSize, int ksize, double k, int borderType)
+Ptr<gpu::CornernessCriteria> cv::gpu::createMinEigenValCorner(int srcType, int blockSize, int ksize, int borderType)
 {
-    GpuMat buf;
+    return new MinEigenVal(srcType, blockSize, ksize, borderType);
-    cornerHarris(src, dst, Dx, Dy, buf, blockSize, ksize, k, borderType);
-}
-
-void cv::gpu::cornerHarris(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, GpuMat& buf, int blockSize, int ksize, double k, int borderType, Stream& stream)
-{
-    using namespace cv::gpu::cudev::imgproc;
-
-    CV_Assert(borderType == cv::BORDER_REFLECT101 || borderType == cv::BORDER_REPLICATE || borderType == cv::BORDER_REFLECT);
-
-    extractCovData(src, Dx, Dy, buf, blockSize, ksize, borderType, stream);
-
-    dst.create(src.size(), CV_32F);
-
-    cornerHarris_gpu(blockSize, static_cast<float>(k), Dx, Dy, dst, borderType, StreamAccessor::getStream(stream));
-}
-
-void cv::gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, int borderType)
-{
-    GpuMat Dx, Dy;
-    cornerMinEigenVal(src, dst, Dx, Dy, blockSize, ksize, borderType);
-}
-
-void cv::gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, int blockSize, int ksize, int borderType)
-{
-    GpuMat buf;
-    cornerMinEigenVal(src, dst, Dx, Dy, buf, blockSize, ksize, borderType);
-}
-
-void cv::gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, GpuMat& buf, int blockSize, int ksize, int borderType, Stream& stream)
-{
-    using namespace ::cv::gpu::cudev::imgproc;
-
-    CV_Assert(borderType == cv::BORDER_REFLECT101 || borderType == cv::BORDER_REPLICATE || borderType == cv::BORDER_REFLECT);
-
-    extractCovData(src, Dx, Dy, buf, blockSize, ksize, borderType, stream);
-
-    dst.create(src.size(), CV_32F);
-
-    cornerMinEigenVal_gpu(blockSize, Dx, Dy, dst, borderType, StreamAccessor::getStream(stream));
 }
 
 #endif /* !defined (HAVE_CUDA) */

modules/gpuimgproc/src/gftt.cpp

@@ -75,10 +75,12 @@ void cv::gpu::GoodFeaturesToTrackDetector_GPU::operator ()(const GpuMat& image,
 
     ensureSizeIsEnough(image.size(), CV_32F, eig_);
 
-    if (useHarrisDetector)
+    Ptr<gpu::CornernessCriteria> cornerCriteria =
-        cornerHarris(image, eig_, Dx_, Dy_, buf_, blockSize, 3, harrisK);
+            useHarrisDetector ?
-    else
+                gpu::createHarrisCorner(image.type(), blockSize, 3, harrisK) :
-        cornerMinEigenVal(image, eig_, Dx_, Dy_, buf_, blockSize, 3);
+                gpu::createMinEigenValCorner(image.type(), blockSize, 3);
+
+    cornerCriteria->compute(image, eig_);
 
     double maxVal = 0;
     gpu::minMax(eig_, 0, &maxVal, GpuMat(), minMaxbuf_);

modules/gpuimgproc/test/test_corners.cpp

@@ -82,8 +82,10 @@ GPU_TEST_P(CornerHarris, Accuracy)
 
     double k = randomDouble(0.1, 0.9);
 
+    cv::Ptr<cv::gpu::CornernessCriteria> harris = cv::gpu::createHarrisCorner(src.type(), blockSize, apertureSize, k, borderType);
+
     cv::gpu::GpuMat dst;
-    cv::gpu::cornerHarris(loadMat(src), dst, blockSize, apertureSize, k, borderType);
+    harris->compute(loadMat(src), dst);
 
     cv::Mat dst_gold;
     cv::cornerHarris(src, dst_gold, blockSize, apertureSize, k, borderType);
@@ -126,8 +128,10 @@ GPU_TEST_P(CornerMinEigen, Accuracy)
     cv::Mat src = readImageType("stereobm/aloe-L.png", type);
     ASSERT_FALSE(src.empty());
 
+    cv::Ptr<cv::gpu::CornernessCriteria> minEigenVal = cv::gpu::createMinEigenValCorner(src.type(), blockSize, apertureSize, borderType);
+
     cv::gpu::GpuMat dst;
-    cv::gpu::cornerMinEigenVal(loadMat(src), dst, blockSize, apertureSize, borderType);
+    minEigenVal->compute(loadMat(src), dst);
 
     cv::Mat dst_gold;
     cv::cornerMinEigenVal(src, dst_gold, blockSize, apertureSize, borderType);

samples/gpu/performance/tests.cpp

@@ -176,10 +176,12 @@ TEST(cornerHarris)
 
         d_src.upload(src);
 
-        gpu::cornerHarris(d_src, d_dst, 5, 7, 0.1, BORDER_REFLECT101);
+        Ptr<gpu::CornernessCriteria> harris = gpu::createHarrisCorner(src.type(), 5, 7, 0.1, BORDER_REFLECT101);
+
+        harris->compute(d_src, d_dst);
 
         GPU_ON;
-        gpu::cornerHarris(d_src, d_dst, 5, 7, 0.1, BORDER_REFLECT101);
+        harris->compute(d_src, d_dst);
         GPU_OFF;
     }
 }