opencv/modules/gpu/perf/perf_labeling.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
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// For Open Source Computer Vision Library
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#include "perf_precomp.hpp"
#ifdef HAVE_CUDA
GPU_PERF_TEST(ConnectedComponents, cv::gpu::DeviceInfo, cv::Size)
{
cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
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cv::Mat image = readImage("gpu/labeling/aloe-disp.png", cv::IMREAD_GRAYSCALE);
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// cv::threshold(image, image, 150, 255, CV_THRESH_BINARY);
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cv::gpu::GpuMat mask;
mask.create(image.rows, image.cols, CV_8UC1);
cv::gpu::GpuMat components;
components.create(image.rows, image.cols, CV_32SC1);
cv::gpu::connectivityMask(cv::gpu::GpuMat(image), mask, cv::Scalar::all(0), cv::Scalar::all(2));
ASSERT_NO_THROW(cv::gpu::labelComponents(mask, components));
declare.time(1.0);
TEST_CYCLE()
{
cv::gpu::labelComponents(mask, components);
}
}
INSTANTIATE_TEST_CASE_P(Labeling, ConnectedComponents, testing::Combine(ALL_DEVICES, testing::Values(cv::Size(261, 262))));
#endif