added first version of gpu performance tests

pull/13383/head
Alexey Spizhevoy 14 years ago
parent 811ba31897
commit 310c483da8
  1. 2
      modules/gpu/src/match_template.cpp
  2. 2
      samples/gpu/CMakeLists.txt
  3. 29
      samples/gpu/performance/CMakeLists.txt
  4. 93
      samples/gpu/performance/performance.cpp
  5. 99
      samples/gpu/performance/performance.h
  6. 30
      samples/gpu/performance/tests.cpp

@ -178,7 +178,7 @@ namespace
if (depth == CV_8U) return 300;
break;
case CV_TM_SQDIFF:
if (depth == CV_8U) return 500;
if (depth == CV_8U) return 300;
break;
}
CV_Error(CV_StsBadArg, "getTemplateThreshold: unsupported match template mode");

@ -48,6 +48,8 @@ if (BUILD_EXAMPLES)
get_filename_component(sample ${sample_filename} NAME_WE)
MY_DEFINE_EXAMPLE(${sample} ${sample_filename})
endforeach()
include("performance/CMakeLists.txt")
endif(BUILD_EXAMPLES)
if (NOT WIN32)

@ -0,0 +1,29 @@
set(the_target "example_gpu_performance")
file(GLOB sources "performance/*.cpp")
file(GLOB headers "performance/*.h")
add_executable(${the_target} ${sources} ${headers})
set_target_properties(${the_target} PROPERTIES
OUTPUT_NAME "performance_gpu"
PROJECT_LABEL "(EXAMPLE_GPU) performance")
add_dependencies(${the_target} opencv_core opencv_flann opencv_imgproc opencv_highgui
opencv_ml opencv_video opencv_objdetect opencv_features2d
opencv_calib3d opencv_legacy opencv_contrib opencv_gpu)
target_link_libraries(${the_target} ${OPENCV_LINKER_LIBS} opencv_core
opencv_flann opencv_imgproc opencv_highgui opencv_ml opencv_video opencv_objdetect
opencv_features2d opencv_calib3d opencv_legacy opencv_contrib opencv_gpu)
if(WIN32)
install(TARGETS ${the_target} RUNTIME DESTINATION "samples/gpu" COMPONENT main)
endif()
if(NOT WIN32)
file(GLOB GPU_FILES performance/*.cpp performance/*.h)
install(FILES ${GPU_FILES}
DESTINATION share/opencv/samples/gpu/performance
PERMISSIONS OWNER_READ GROUP_READ WORLD_READ)
endif()

@ -0,0 +1,93 @@
#include <iomanip>
#include "performance.h"
using namespace std;
using namespace cv;
void Test::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);
}
void Test::gen(Mat& mat, int rows, int cols, int type)
{
mat.create(rows, cols, type);
Mat mat8u(rows, cols * mat.elemSize(), CV_8U, mat.data, mat.step);
RNG rng(0);
rng.fill(mat, RNG::UNIFORM, Scalar(0), Scalar(256));
}
void TestSystem::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);
vector<Test*>::iterator it = tests_.begin();
for (; it != tests_.end(); ++it)
{
can_flush_ = false;
Test* test = *it;
cout << endl << test->name() << ":\n";
test->run();
flush();
}
cout << setiosflags(ios_base::fixed | ios_base::left);
cout << "\nCPU Total: " << setprecision(3) << cpu_total_ / getTickFrequency() << " sec\n";
cout << "GPU Total: " << setprecision(3) << gpu_total_ / getTickFrequency() << " sec (x"
<< setprecision(3) << (double)cpu_total_ / gpu_total_ << ")\n";
cout << resetiosflags(ios_base::fixed | ios_base::left);
}
void TestSystem::flush()
{
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 = (double)cpu_time / gpu_time;
cpu_elapsed_ = 0;
gpu_elapsed_ = 0;
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;
}
int main()
{
TestSystem::instance()->run();
return 0;
}

@ -0,0 +1,99 @@
#include <iostream>
#include <cstdio>
#include <vector>
#include <string>
#include <opencv2/core/core.hpp>
class Test
{
public:
Test(const std::string& name): name_(name) {}
const std::string& name() const { return name_; }
void gen(cv::Mat& mat, int rows, int cols, int type,
cv::Scalar low, cv::Scalar high);
void gen(cv::Mat& mat, int rows, int cols, int type);
virtual void run() = 0;
private:
std::string name_;
};
class TestSystem
{
public:
static TestSystem* instance()
{
static TestSystem me;
return &me;
}
void add(Test* test) { tests_.push_back(test); }
void run();
void cpuOn() { cpu_started_ = cv::getTickCount(); }
void cpuOff()
{
int64 delta = cv::getTickCount() - cpu_started_;
cpu_elapsed_ += delta;
cpu_total_ += delta;
can_flush_ = true;
}
void gpuOn() { gpu_started_ = cv::getTickCount(); }
void gpuOff()
{
int64 delta = cv::getTickCount() - gpu_started_;
gpu_elapsed_ += delta;
gpu_total_ += delta;
can_flush_ = true;
}
// Ends current subtest and starts new one
std::stringstream& subtest()
{
flush();
return description_;
}
private:
TestSystem(): can_flush_(false),
cpu_elapsed_(0), cpu_total_(0),
gpu_elapsed_(0), gpu_total_(0) {};
void flush();
std::vector<Test*> tests_;
// Current test (subtest) description
std::stringstream description_;
bool can_flush_;
int64 cpu_started_, cpu_elapsed_, cpu_total_;
int64 gpu_started_, gpu_elapsed_, gpu_total_;
};
#define TEST(name) \
struct name##_test: public Test \
{ \
name##_test(): Test(#name) { TestSystem::instance()->add(this); } \
void run(); \
} name##_test_instance; \
void name##_test::run()
#define CPU_ON TestSystem::instance()->cpuOn()
#define GPU_ON TestSystem::instance()->gpuOn()
#define CPU_OFF TestSystem::instance()->cpuOff()
#define GPU_OFF TestSystem::instance()->gpuOff()
#define SUBTEST TestSystem::instance()->subtest()
#define DESCRIPTION TestSystem::instance()->subtest()

@ -0,0 +1,30 @@
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/gpu/gpu.hpp>
#include "performance.h"
using namespace std;
using namespace cv;
TEST(matchTemplate)
{
for (int templ_size = 5; templ_size <= 1000; templ_size *= 2)
{
SUBTEST << "img 3000, templ " << templ_size << ", 8U, SQDIFF";
Mat image; gen(image, 3000, 3000, CV_8U);
Mat templ; gen(templ, templ_size, templ_size, CV_8U);
Mat result;
CPU_ON;
matchTemplate(image, templ, result, CV_TM_SQDIFF);
CPU_OFF;
gpu::GpuMat d_image(image);
gpu::GpuMat d_templ(templ);
gpu::GpuMat d_result;
GPU_ON;
gpu::matchTemplate(d_image, d_templ, d_result, CV_TM_SQDIFF);
GPU_OFF;
}
}
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