Open Source Computer Vision Library https://opencv.org/
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#include <iomanip>
#include <stdexcept>
#include <string>
#include "performance.h"
using namespace std;
using namespace cv;
void TestSystem::run()
{
// Run test initializers
vector<Runnable*>::iterator it = inits_.begin();
for (; it != inits_.end(); ++it)
{
if ((*it)->name().find(test_filter_, 0) != string::npos)
(*it)->run();
}
printHeading();
// Run tests
it = tests_.begin();
for (; it != tests_.end(); ++it)
{
try
{
if ((*it)->name().find(test_filter_, 0) != string::npos)
{
cout << endl << (*it)->name() << ":\n";
(*it)->run();
finishCurrentSubtest();
}
}
catch (const Exception&)
{
// Message is printed via callback
resetCurrentSubtest();
}
catch (const runtime_error& e)
{
printError(e.what());
resetCurrentSubtest();
}
}
printSummary();
}
void TestSystem::finishCurrentSubtest()
{
if (cur_subtest_is_empty_)
// There is no need to print subtest statistics
return;
int cpu_time = static_cast<int>(cpu_elapsed_ / getTickFrequency() * 1000.0);
int gpu_time = static_cast<int>(gpu_elapsed_ / getTickFrequency() * 1000.0);
double speedup = static_cast<double>(cpu_elapsed_) /
std::max((int64)1, gpu_elapsed_);
speedup_total_ += speedup;
printMetrics(cpu_time, gpu_time, speedup);
num_subtests_called_++;
resetCurrentSubtest();
}
void TestSystem::printHeading()
{
cout << setiosflags(ios_base::left);
cout << TAB << setw(10) << "CPU, ms" << setw(10) << "GPU, ms"
<< setw(14) << "SPEEDUP"
<< "DESCRIPTION\n";
cout << resetiosflags(ios_base::left);
}
void TestSystem::printSummary()
{
cout << setiosflags(ios_base::fixed);
cout << "\naverage GPU speedup: x"
<< setprecision(3) << speedup_total_ / std::max(1, num_subtests_called_)
<< endl;
cout << resetiosflags(ios_base::fixed);
}
void TestSystem::printMetrics(double cpu_time, double gpu_time, double speedup)
{
cout << TAB << setiosflags(ios_base::left);
stringstream stream;
stream << cpu_time;
cout << setw(10) << stream.str();
stream.str("");
stream << gpu_time;
cout << setw(10) << stream.str();
stream.str("");
stream << "x" << setprecision(3) << speedup;
cout << setw(14) << stream.str();
cout << cur_subtest_description_.str();
cout << resetiosflags(ios_base::left) << endl;
}
void TestSystem::printError(const std::string& msg)
{
cout << TAB << "[error: " << msg << "] " << cur_subtest_description_.str() << endl;
}
void gen(Mat& mat, int rows, int cols, int type, Scalar low, Scalar high)
{
mat.create(rows, cols, type);
RNG rng(0);
rng.fill(mat, RNG::UNIFORM, low, high);
}
string abspath(const string& relpath)
{
return TestSystem::instance().workingDir() + relpath;
}
int CV_CDECL cvErrorCallback(int /*status*/, const char* /*func_name*/,
const char* err_msg, const char* /*file_name*/,
int /*line*/, void* /*userdata*/)
{
TestSystem::instance().printError(err_msg);
return 0;
}
int main(int argc, char** argv)
{
// Parse command line arguments
for (int i = 1; i < argc; ++i)
{
string key = argv[i];
if (key == "--help")
{
cout << "Usage: performance_gpu [--filter <test_filter>] [--working-dir <working_dir_with_slash>]\n";
return 0;
}
if (key == "--filter" && i + 1 < argc)
TestSystem::instance().setTestFilter(argv[++i]);
else if (key == "--working-dir" && i + 1 < argc)
TestSystem::instance().setWorkingDir(argv[++i]);
else
{
cout << "Unknown parameter: '" << key << "'" << endl;
return -1;
}
}
redirectError(cvErrorCallback);
TestSystem::instance().run();
return 0;
}