opencv/modules/gpu/test/main.cpp
2013-03-29 19:38:35 +04:00

131 lines
4.2 KiB
C++

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// License Agreement
// For Open Source Computer Vision Library
//
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#include "test_precomp.hpp"
#ifdef HAVE_CUDA
using namespace std;
using namespace cv;
using namespace cv::gpu;
using namespace cvtest;
using namespace testing;
int main(int argc, char** argv)
{
try
{
const std::string keys =
"{ h help ? | | Print help}"
"{ i info | | Print information about system and exit }"
"{ device | -1 | Device on which tests will be executed (-1 means all devices) }"
"{ nvtest_output_level | none | NVidia test verbosity level (none, compact, full) }"
;
CommandLineParser cmd(argc, (const char**)argv, keys);
if (cmd.has("help"))
{
cmd.printMessage();
return 0;
}
printCudaInfo();
if (cmd.has("info"))
{
return 0;
}
int device = cmd.get<int>("device");
if (device < 0)
{
DeviceManager::instance().loadAll();
cout << "Run tests on all supported devices \n" << endl;
}
else
{
DeviceManager::instance().load(device);
DeviceInfo info(device);
cout << "Run tests on device " << device << " [" << info.name() << "] \n" << endl;
}
string outputLevel = cmd.get<string>("nvtest_output_level");
if (outputLevel == "none")
nvidiaTestOutputLevel = OutputLevelNone;
else if (outputLevel == "compact")
nvidiaTestOutputLevel = OutputLevelCompact;
else if (outputLevel == "full")
nvidiaTestOutputLevel = OutputLevelFull;
TS::ptr()->init("gpu");
InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}
catch (const exception& e)
{
cerr << e.what() << endl;
return -1;
}
catch (...)
{
cerr << "Unknown error" << endl;
return -1;
}
return 0;
}
#else // HAVE_CUDA
int main()
{
printf("OpenCV was built without CUDA support\n");
return 0;
}
#endif // HAVE_CUDA