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     42 
     43 #include "test_precomp.hpp"
     44 
     45 #ifdef HAVE_CUDA
     46 
     47 using namespace cvtest;
     48 
     49 ////////////////////////////////////////////////////////
     50 // BilateralFilter
     51 
     52 PARAM_TEST_CASE(BilateralFilter, cv::cuda::DeviceInfo, cv::Size, MatType)
     53 {
     54     cv::cuda::DeviceInfo devInfo;
     55     cv::Size size;
     56     int type;
     57     int kernel_size;
     58     float sigma_color;
     59     float sigma_spatial;
     60 
     61     virtual void SetUp()
     62     {
     63         devInfo = GET_PARAM(0);
     64         size = GET_PARAM(1);
     65         type = GET_PARAM(2);
     66 
     67         kernel_size = 5;
     68         sigma_color = 10.f;
     69         sigma_spatial = 3.5f;
     70 
     71         cv::cuda::setDevice(devInfo.deviceID());
     72     }
     73 };
     74 
     75 CUDA_TEST_P(BilateralFilter, Accuracy)
     76 {
     77     cv::Mat src = randomMat(size, type);
     78 
     79     src.convertTo(src, type);
     80     cv::cuda::GpuMat dst;
     81 
     82     cv::cuda::bilateralFilter(loadMat(src), dst, kernel_size, sigma_color, sigma_spatial);
     83 
     84     cv::Mat dst_gold;
     85     cv::bilateralFilter(src, dst_gold, kernel_size, sigma_color, sigma_spatial);
     86 
     87     EXPECT_MAT_NEAR(dst_gold, dst, src.depth() == CV_32F ? 1e-3 : 1.0);
     88 }
     89 
     90 INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, BilateralFilter, testing::Combine(
     91     ALL_DEVICES,
     92     testing::Values(cv::Size(128, 128), cv::Size(113, 113), cv::Size(639, 481)),
     93     testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_32FC1), MatType(CV_32FC3))
     94     ));
     95 
     96 
     97 #endif // HAVE_CUDA
     98