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

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#include "perf_precomp.hpp"
namespace opencv_test { namespace {
//////////////////////////////////////////////////////////////////////
// Canny
DEF_PARAM_TEST(Image_AppertureSz_L2gradient, string, int, bool);
PERF_TEST_P(Image_AppertureSz_L2gradient, Canny,
Combine(Values("perf/800x600.png", "perf/1280x1024.png", "perf/1680x1050.png"),
Values(3, 5),
Bool()))
{
const string fileName = GET_PARAM(0);
const int apperture_size = GET_PARAM(1);
const bool useL2gradient = GET_PARAM(2);
const cv::Mat image = readImage(fileName, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(image.empty());
const double low_thresh = 50.0;
const double high_thresh = 100.0;
if (PERF_RUN_CUDA())
{
const cv::cuda::GpuMat d_image(image);
cv::cuda::GpuMat dst;
cv::Ptr<cv::cuda::CannyEdgeDetector> canny = cv::cuda::createCannyEdgeDetector(low_thresh, high_thresh, apperture_size, useL2gradient);
TEST_CYCLE() canny->detect(d_image, dst);
CUDA_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::Canny(image, dst, low_thresh, high_thresh, apperture_size, useL2gradient);
CPU_SANITY_CHECK(dst);
}
}
}} // namespace