OpenCV_4.2.0/opencv_contrib-4.2.0/modules/cudaimgproc/perf/perf_blend.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
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#include "perf_precomp.hpp"
namespace opencv_test { namespace {
//////////////////////////////////////////////////////////////////////
// BlendLinear
DEF_PARAM_TEST(Sz_Depth_Cn, cv::Size, MatDepth, MatCn);
PERF_TEST_P(Sz_Depth_Cn, BlendLinear,
Combine(CUDA_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_32F),
CUDA_CHANNELS_1_3_4))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
const int channels = GET_PARAM(2);
const int type = CV_MAKE_TYPE(depth, channels);
cv::Mat img1(size, type);
cv::Mat img2(size, type);
declare.in(img1, img2, WARMUP_RNG);
const cv::Mat weights1(size, CV_32FC1, cv::Scalar::all(0.5));
const cv::Mat weights2(size, CV_32FC1, cv::Scalar::all(0.5));
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_img1(img1);
const cv::cuda::GpuMat d_img2(img2);
const cv::cuda::GpuMat d_weights1(weights1);
const cv::cuda::GpuMat d_weights2(weights2);
cv::cuda::GpuMat dst;
TEST_CYCLE() cv::cuda::blendLinear(d_img1, d_img2, d_weights1, d_weights2, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
FAIL_NO_CPU();
}
}
}} // namespace