added implementation copyTo() with mask and added test for this method

modules/gpu/src/cuda/cuda_shared.hpp

@@ -61,6 +61,8 @@ namespace cv
         {
             static inline int divUp(int a, int b) { return (a % b == 0) ? a/b : a/b + 1; }
 
+            extern "C" void copy_to_with_mask(const DevMem2D& mat_src, const DevMem2D& mat_dst, int depth, const DevMem2D& mask, int channels);
+
             extern "C" void set_to_without_mask (const DevMem2D& mat, int depth, const double * scalar, int channels);
             extern "C" void set_to_with_mask    (const DevMem2D& mat, int depth, const double * scalar, const DevMem2D& mask, int channels);
 

modules/gpu/src/cuda/matrix_operations.cu

@@ -42,7 +42,7 @@
 
 #include <stddef.h>
 #include <stdio.h>
-#include <iostream>
+//#include <iostream>
 #include "cuda_shared.hpp"
 #include "cuda_runtime.h"
 
@@ -53,6 +53,24 @@ __constant__ __align__(16) double scalar_d[4];
 
 namespace mat_operators
 {
+    //////////////////////////////////////////////////////////
+    // CopyTo
+    //////////////////////////////////////////////////////////
+
+    template<typename T>
+    __global__ void kernel_copy_to_with_mask(T * mat_src, T * mat_dst, const unsigned char * mask, int cols, int rows, int step_mat, int step_mask, int channels)
+    {
+        size_t x = blockIdx.x * blockDim.x + threadIdx.x;
+        size_t y = blockIdx.y * blockDim.y + threadIdx.y;
+
+        if ((x < cols * channels ) && (y < rows))
+            if (mask[y * step_mask + x / channels] != 0)
+            {
+                size_t idx = y * (step_mat / sizeof(T)) + x;
+                mat_dst[idx] = mat_src[idx];
+            }
+    }
+
     //////////////////////////////////////////////////////////
     // SetTo
     //////////////////////////////////////////////////////////
@@ -326,6 +344,44 @@ namespace cv
 		namespace impl
 		{
 
+                        //////////////////////////////////////////////////////////////
+                        // CopyTo
+                        //////////////////////////////////////////////////////////////
+
+                        typedef void (*CopyToFunc)(const DevMem2D& mat_src, const DevMem2D& mat_dst, const DevMem2D& mask, int channels);
+
+                        template<typename T>
+                        void copy_to_with_mask_run(const DevMem2D& mat_src, const DevMem2D& mat_dst, const DevMem2D& mask, int channels)
+                        {
+                            dim3 threadsPerBlock(16,16, 1);
+                            dim3 numBlocks ( divUp(mat_src.cols * channels , threadsPerBlock.x) , divUp(mat_src.rows , threadsPerBlock.y), 1);
+                            ::mat_operators::kernel_copy_to_with_mask<T><<<numBlocks,threadsPerBlock>>>
+                            ((T*)mat_src.ptr, (T*)mat_dst.ptr, (unsigned char*)mask.ptr, mat_src.cols, mat_src.rows, mat_src.step, mask.step, channels);
+                            cudaSafeCall ( cudaThreadSynchronize() );
+                        }
+
+                        extern "C" void copy_to_with_mask(const DevMem2D& mat_src, const DevMem2D& mat_dst, int depth, const DevMem2D& mask, int channels)
+                        {
+                            static CopyToFunc tab[8] =
+                            {
+                                copy_to_with_mask_run<unsigned char>,
+                                copy_to_with_mask_run<char>,
+                                copy_to_with_mask_run<unsigned short>,
+                                copy_to_with_mask_run<short>,
+                                copy_to_with_mask_run<int>,
+                                copy_to_with_mask_run<float>,
+                                copy_to_with_mask_run<double>,
+                                0
+                            };
+
+                            CopyToFunc func = tab[depth];
+
+                            if (func == 0) error("Operation \'ConvertTo\' doesn't supported on your GPU model", __FILE__, __LINE__);
+
+                            func(mat_src, mat_dst, mask, channels);
+                        }
+
+
                         //////////////////////////////////////////////////////////////
                         // SetTo
                         //////////////////////////////////////////////////////////////
@@ -412,11 +468,9 @@ namespace cv
                         // ConvertTo
                         //////////////////////////////////////////////////////////////
 
+                        typedef void (*CvtFunc)(const DevMem2D& src, DevMem2D& dst, size_t width, size_t height, double alpha, double beta);
 
-
-			typedef void (*CvtFunc)(const DevMem2D& src, DevMem2D& dst, size_t width, size_t height, double alpha, double beta);
-
-			//#if !defined(__CUDA_ARCH__) || (__CUDA_ARCH__ >= 130)
+                        //#if !defined(__CUDA_ARCH__) || (__CUDA_ARCH__ >= 130)
 
 			template<typename T, typename DT>
 			void cvt_(const DevMem2D& src, DevMem2D& dst, size_t width, size_t height, double alpha, double beta)

modules/gpu/src/matrix_operations.cpp

@@ -99,9 +99,17 @@ void cv::gpu::GpuMat::copyTo( GpuMat& m ) const
     cudaSafeCall( cudaThreadSynchronize() );
 }
 
-void cv::gpu::GpuMat::copyTo( GpuMat& /*m*/, const GpuMat&/* mask */) const
+void cv::gpu::GpuMat::copyTo( GpuMat& mat, const GpuMat& mask ) const
 {
-    CV_Assert(!"Not implemented");
+    if (mask.empty())
+    {
+        this->copyTo(mat);
+    }
+    else
+    {
+        mat.create(this->size(), this->type());
+        cv::gpu::impl::copy_to_with_mask(*this, mat, this->depth() , mask, this->channels());
+    }
 }
 
 void cv::gpu::GpuMat::convertTo( GpuMat& dst, int rtype, double alpha, double beta ) const

tests/gpu/src/operator_copy_to.cpp

@@ -0,0 +1,110 @@
+#include "gputest.hpp"
+#include "highgui.h"
+#include "cv.h"
+#include <string>
+#include <iostream>
+#include <fstream>
+#include <iterator>
+#include <limits>
+#include <numeric>
+#include <iomanip> // for  cout << setw()
+
+using namespace cv;
+using namespace std;
+using namespace gpu;
+
+class CV_GpuMatOpCopyTo : public CvTest
+{
+    public:
+        CV_GpuMatOpCopyTo();
+        ~CV_GpuMatOpCopyTo();
+    protected:
+
+        template <typename T>
+        void print_mat(const T & mat, const std::string & name) const;
+
+        void run(int);
+
+        bool compare_matrix(cv::Mat & cpumat, gpu::GpuMat & gpumat);
+
+    private:
+        int rows;
+        int cols;
+};
+
+CV_GpuMatOpCopyTo::CV_GpuMatOpCopyTo(): CvTest( "GpuMatOperatorCopyTo", "copyTo" )
+{
+    rows = 234;
+    cols = 123;
+
+    //#define PRINT_MATRIX
+}
+
+CV_GpuMatOpCopyTo::~CV_GpuMatOpCopyTo() {}
+
+template<typename T>
+void CV_GpuMatOpCopyTo::print_mat(const T & mat, const std::string & name) const
+{
+    cv::imshow(name, mat);
+}
+
+bool CV_GpuMatOpCopyTo::compare_matrix(cv::Mat & cpumat, gpu::GpuMat & gpumat)
+{
+    Mat cmat(cpumat.size(), cpumat.type(), Scalar::all(0));
+    GpuMat gmat(cmat);
+
+    Mat cpumask(cpumat.size(), CV_8U);
+    randu(cpumask, Scalar::all(0), Scalar::all(127));
+    threshold(cpumask, cpumask, 0, 127, THRESH_BINARY);
+    GpuMat gpumask(cpumask);
+
+    //int64 time = getTickCount();
+    cpumat.copyTo(cmat, cpumask);
+    //int64 time1 = getTickCount();
+    gpumat.copyTo(gmat, gpumask);
+    //int64 time2 = getTickCount();
+
+    //std::cout << "\ntime cpu: " << std::fixed << std::setprecision(12) << 1.0 / double((time1 - time)  / (double)getTickFrequency());
+    //std::cout << "\ntime gpu: " << std::fixed << std::setprecision(12) << 1.0 / double((time2 - time1) / (double)getTickFrequency());
+    //std::cout << "\n";
+
+#ifdef PRINT_MATRIX
+    print_mat(cmat, "cpu mat");
+    print_mat(gmat, "gpu mat");
+    print_mat(cpumask, "cpu mask");
+    print_mat(gpumask, "gpu mask");
+    cv::waitKey(0);
+#endif
+
+    double ret = norm(cmat, gmat);
+
+    if (ret < 1.0)
+        return true;
+    else
+    {
+        std::cout << "return : " << ret << "\n";
+        return false;
+    }
+}
+
+void CV_GpuMatOpCopyTo::run( int /* start_from */)
+{
+    bool is_test_good = true;
+
+    for (int i = 0 ; i < 7; i++)
+    {
+        Mat cpumat(rows, cols, i);
+        cpumat.setTo(Scalar::all(127));
+
+        GpuMat gpumat(cpumat);
+
+        is_test_good &= compare_matrix(cpumat, gpumat);
+    }
+
+    if (is_test_good == true)
+        ts->set_failed_test_info(CvTS::OK);
+    else
+        ts->set_failed_test_info(CvTS::FAIL_GENERIC);
+}
+
+CV_GpuMatOpCopyTo CV_GpuMatOpCopyTo_test;