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Open Source Computer Vision Library
https://opencv.org/
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154 lines
3.4 KiB
154 lines
3.4 KiB
#include <iomanip> |
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#include <stdexcept> |
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#include "performance.h" |
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using namespace std; |
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using namespace cv; |
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void TestSystem::run() |
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{ |
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// Run initializers |
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vector<Runnable*>::iterator it = inits_.begin(); |
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for (; it != inits_.end(); ++it) |
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{ |
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(*it)->run(); |
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} |
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printHeading(); |
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// Run tests |
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it = tests_.begin(); |
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for (; it != tests_.end(); ++it) |
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{ |
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cout << endl << (*it)->name() << ":\n"; |
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try |
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{ |
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(*it)->run(); |
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flushSubtestData(); |
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} |
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catch (const Exception&) |
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{ |
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// Message is printed via callback |
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resetSubtestData(); |
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} |
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catch (const runtime_error& e) |
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{ |
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printError(e.what()); |
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resetSubtestData(); |
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} |
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} |
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printSummary(); |
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} |
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void TestSystem::setWorkingDir(const string& val) |
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{ |
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working_dir_ = val; |
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} |
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void TestSystem::flushSubtestData() |
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{ |
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if (!can_flush_) |
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return; |
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int cpu_time = static_cast<int>(cpu_elapsed_ / getTickFrequency() * 1000.0); |
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int gpu_time = static_cast<int>(gpu_elapsed_ / getTickFrequency() * 1000.0); |
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double speedup = static_cast<double>(cpu_elapsed_) / std::max((int64)1, gpu_elapsed_); |
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speedup_total_ += speedup; |
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printItem(cpu_time, gpu_time, speedup); |
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num_subtests_called_++; |
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resetSubtestData(); |
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} |
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void TestSystem::printHeading() |
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{ |
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cout << setiosflags(ios_base::left); |
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cout << TAB << setw(10) << "CPU, ms" << setw(10) << "GPU, ms" |
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<< setw(14) << "SPEEDUP" |
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<< "DESCRIPTION\n"; |
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cout << resetiosflags(ios_base::left); |
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} |
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void TestSystem::printSummary() |
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{ |
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cout << setiosflags(ios_base::fixed); |
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cout << "\naverage GPU speedup: x" |
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<< setprecision(3) << speedup_total_ / std::max(1, num_subtests_called_) |
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<< endl; |
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cout << resetiosflags(ios_base::fixed); |
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} |
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void TestSystem::printItem(double cpu_time, double gpu_time, double speedup) |
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{ |
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cout << TAB << setiosflags(ios_base::left); |
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stringstream stream; |
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stream << cpu_time; |
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cout << setw(10) << stream.str(); |
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stream.str(""); |
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stream << gpu_time; |
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cout << setw(10) << stream.str(); |
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stream.str(""); |
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stream << "x" << setprecision(3) << speedup; |
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cout << setw(14) << stream.str(); |
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cout << description_.str(); |
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cout << resetiosflags(ios_base::left) << endl; |
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} |
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void TestSystem::printError(const std::string& msg) |
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{ |
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cout << TAB << "[error: " << msg << "] " << description_.str() << endl; |
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} |
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void gen(Mat& mat, int rows, int cols, int type, Scalar low, Scalar high) |
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{ |
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mat.create(rows, cols, type); |
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RNG rng(0); |
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rng.fill(mat, RNG::UNIFORM, low, high); |
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} |
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string abspath(const string& relpath) |
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{ |
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return TestSystem::instance()->workingDir() + relpath; |
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} |
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int CV_CDECL cvErrorCallback(int /*status*/, const char* /*func_name*/, |
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const char* err_msg, const char* /*file_name*/, |
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int /*line*/, void* /*userdata*/) |
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{ |
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TestSystem::instance()->printError(err_msg); |
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return 0; |
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} |
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int main(int argc, char** argv) |
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{ |
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if (argc < 2) |
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{ |
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cout << "Usage: performance_gpu <working_dir_with_slash>\n\n"; |
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} |
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else |
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{ |
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TestSystem::instance()->setWorkingDir(argv[1]); |
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} |
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redirectError(cvErrorCallback); |
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TestSystem::instance()->run(); |
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return 0; |
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} |