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 << " " << 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";
(*it)->run();
flush_subtest_data();
}
cout << setiosflags(ios_base::fixed | ios_base::left);
cout << "\naverage GPU speedup: x" << setprecision(3)
<< speedup_total_ / num_subtests_called_ << endl;
cout << resetiosflags(ios_base::fixed | ios_base::left);
}
void TestSystem::flush_subtest_data()
{
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);
cpu_elapsed_ = 0;
gpu_elapsed_ = 0;
double speedup = static_cast<double>(cpu_time) / std::max(1, gpu_time);
speedup_total_ += speedup;
cout << " " << setiosflags(ios_base::fixed | 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();
description_.str("");
cout << resetiosflags(ios_base::fixed | ios_base::left) << endl;
can_flush_ = false;
num_subtests_called_++;
}
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 main()
{
TestSystem::instance()->run();
return 0;
}