GPU module performance tests are aligned with other OpenCV pefrofmance tests
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@ -106,7 +106,7 @@ PERF_TEST_P(Image, Labeling_ConnectedComponents, Values<string>("gpu/labeling/al
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cv::Mat image = readImage(GetParam(), cv::IMREAD_GRAYSCALE);
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if (runOnGpu)
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if (PERF_RUN_GPU())
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{
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cv::gpu::GpuMat mask;
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mask.create(image.rows, image.cols, CV_8UC1);
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@ -122,6 +122,8 @@ PERF_TEST_P(Image, Labeling_ConnectedComponents, Values<string>("gpu/labeling/al
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{
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cv::gpu::labelComponents(mask, components);
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}
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GPU_SANITY_CHECK(components);
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}
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else
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{
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@ -135,6 +137,8 @@ PERF_TEST_P(Image, Labeling_ConnectedComponents, Values<string>("gpu/labeling/al
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{
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host(host._labels);
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}
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CPU_SANITY_CHECK(host._labels);
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}
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}
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@ -1,72 +1,3 @@
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#include "perf_precomp.hpp"
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using namespace std;
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using namespace cv;
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using namespace cv::gpu;
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using namespace cvtest;
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using namespace testing;
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int main(int argc, char** argv)
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{
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const std::string keys =
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"{ h help ? | | Print help}"
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"{ i info | | Print information about system and exit }"
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"{ device | 0 | Device on which tests will be executed }"
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"{ cpu | | Run tests on cpu }"
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;
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CommandLineParser cmd(argc, (const char**) argv, keys);
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if (cmd.has("help"))
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{
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cmd.printMessage();
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return 0;
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}
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ts::printOsInfo();
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ts::printCudaInfo();
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if (cmd.has("info"))
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{
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return 0;
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}
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int device = cmd.get<int>("device");
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bool cpu = cmd.has("cpu");
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#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
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cpu = true;
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#endif
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if (cpu)
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{
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runOnGpu = false;
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cout << "Run tests on CPU \n" << endl;
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}
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else
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{
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runOnGpu = true;
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if (device < 0 || device >= getCudaEnabledDeviceCount())
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{
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cerr << "Incorrect device index - " << device << endl;
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return -1;
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}
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DeviceInfo info(device);
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if (!info.isCompatible())
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{
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cerr << "Device " << device << " [" << info.name() << "] is NOT compatible with current GPU module build" << endl;
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return -1;
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}
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setDevice(device);
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cout << "Run tests on device " << device << " [" << info.name() << "] \n" << endl;
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}
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InitGoogleTest(&argc, argv);
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perf::TestBase::Init(argc, argv);
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return RUN_ALL_TESTS();
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}
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CV_PERF_TEST_MAIN(gpu)
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@ -53,4 +53,15 @@ namespace ts {
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void printCudaInfo();
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}
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#define GPU_SANITY_CHECK(dmat, ...) \
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do{ \
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cv::Mat d##dmat(dmat); \
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SANITY_CHECK(d##dmat, ## __VA_ARGS__); \
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} while(0);
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#define CPU_SANITY_CHECK(cmat, ...) \
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do{ \
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SANITY_CHECK(cmat, ## __VA_ARGS__); \
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} while(0);
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#endif // __OPENCV_PERF_GPU_UTILITY_HPP__
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@ -205,6 +205,19 @@ private:
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#define SANITY_CHECK_KEYPOINTS(array, ...) ::perf::Regression::addKeypoints(this, #array, array , ## __VA_ARGS__)
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#define SANITY_CHECK_MATCHES(array, ...) ::perf::Regression::addMatches(this, #array, array , ## __VA_ARGS__)
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#ifdef HAVE_CUDA
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//#error "CUDA"
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class CV_EXPORTS GpuPerf
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{
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public:
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static bool targetDevice();
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};
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# define PERF_RUN_GPU() ::perf::GpuPerf::targetDevice()
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#else
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# define PERF_RUN_GPU()
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#endif
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/*****************************************************************************************\
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* Container for performance metrics *
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@ -26,6 +26,9 @@ const std::string command_line_keys =
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#endif
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"{ perf_max_deviation |1.0 |}"
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"{ help h | |print help info}"
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#ifdef HAVE_CUDA
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"{ perf_run_cpu |false |run GPU performance tests for analogy CPU functions}"
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#endif
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;
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static double param_max_outliers;
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@ -36,10 +39,15 @@ static uint64 param_seed;
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static double param_time_limit;
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static int param_tbb_nthreads;
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static bool param_write_sanity;
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#ifdef HAVE_CUDA
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static bool param_run_cpu;
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#endif
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#ifdef ANDROID
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static int param_affinity_mask;
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static bool log_power_checkpoints;
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#include <sys/syscall.h>
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#include <pthread.h>
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static void setCurrentThreadAffinityMask(int mask)
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@ -608,6 +616,10 @@ void TestBase::Init(int argc, const char* const argv[])
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log_power_checkpoints = args.has("perf_log_power_checkpoints");
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#endif
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#ifdef HAVE_CUDA
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param_run_cpu = args.has("perf_run_cpu");
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#endif
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if (!args.check())
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{
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args.printErrors();
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@ -1185,6 +1197,17 @@ TestBase::_declareHelper::_declareHelper(TestBase* t) : test(t)
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{
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}
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/*****************************************************************************************\
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* ::perf::GpuPerf
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\*****************************************************************************************/
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#ifdef HAVE_CUDA
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bool perf::GpuPerf::targetDevice()
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{
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return !param_run_cpu;
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}
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#endif
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/*****************************************************************************************\
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* ::perf::PrintTo
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\*****************************************************************************************/
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