Open Source Computer Vision Library https://opencv.org/
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#include <iomanip>
#include "performance.h"
using namespace std;
using namespace cv;
void TestSystem::run()
{
// Run initializers
vector<Runnable*>::iterator it = inits_.begin();
for (; it != inits_.end(); ++it)
{
(*it)->run();
}
cout << setiosflags(ios_base::left);
cout << TAB << setw(10) << "CPU, ms" << setw(10) << "GPU, ms"
<< setw(10) << "SPEEDUP"
<< "DESCRIPTION\n";
cout << resetiosflags(ios_base::left);
// Run tests
it = tests_.begin();
for (; it != tests_.end(); ++it)
{
cout << endl << (*it)->name() << ":\n";
try
{
(*it)->run();
flushSubtestData();
}
catch (const cv::Exception&)
{
resetSubtestData();
}
}
cout << setiosflags(ios_base::fixed);
cout << "\naverage GPU speedup: x"
<< setprecision(3) << speedup_total_ / num_subtests_called_
<< endl;
cout << resetiosflags(ios_base::fixed);
}
void TestSystem::flushSubtestData()
{
if (!can_flush_)
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_time) / std::max(1, gpu_time);
speedup_total_ += 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(10) << stream.str();
cout << description_.str();
cout << resetiosflags(ios_base::left) << endl;
num_subtests_called_++;
resetSubtestData();
}
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);
}
int CV_CDECL cvErrorCallback(int /*status*/, const char* /*func_name*/,
const char* /*err_msg*/, const char* /*file_name*/,
int /*line*/, void* /*userdata*/)
{
return 0;
}
int main()
{
redirectError(cvErrorCallback);
TestSystem::instance()->run();
return 0;
}