获取OpenCV的当前FPS [英] Getting current FPS of OpenCV
问题描述
我正在编写一个OpenCV应用程序,FPS非常重要.如何计时主循环的处理时间以获得当前和平均FPS? 这样,我可以知道我的应用程序可以运行的速度.顺便说一句,我使用的是固态硬盘,因此处理器是这里的瓶颈!
I am writing an OpenCV application and the FPS is very important. How do I time the processing time of the main loop to get the current and Average FPS? This way, I can know how fast my application can operate. By the way, I'm using imread off an SSD so the processor is the bottleneck here!
推荐答案
您可以执行以下操作.关于fps,我发现与其从平均持续时间中得出,不如将其实际计入1秒段并进行平均.您可以通过更改_avgfps=0.7*_avgfps+0.3*_fps1sec;
来控制平均(或间隔窗口)的稳定性.例如,_avgfps=0.9*_avgfps+0.1*_fps1sec;
将使收敛到实际速度变慢,但更能抵抗暂时的波动.比率必须精确地等于1.
you can do something like this. regarding fps, i find that instead of deriving from average duration, it's slightly better to actually count in 1 second segments and average. you can control the stability of the averaging(or the interval window) by changing the _avgfps=0.7*_avgfps+0.3*_fps1sec;
. for example _avgfps=0.9*_avgfps+0.1*_fps1sec;
will make the convergence to actual slower but will be more resistant to temporary fluctuations. the ratios must sum to exactly 1.
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <opencv/cv.h>
#include <sys/timeb.h>
using namespace cv;
#if defined(_MSC_VER) || defined(WIN32) || defined(_WIN32) || defined(__WIN32__) \
|| defined(WIN64) || defined(_WIN64) || defined(__WIN64__)
int CLOCK()
{
return clock();
}
#endif
#if defined(unix) || defined(__unix) || defined(__unix__) \
|| defined(linux) || defined(__linux) || defined(__linux__) \
|| defined(sun) || defined(__sun) \
|| defined(BSD) || defined(__OpenBSD__) || defined(__NetBSD__) \
|| defined(__FreeBSD__) || defined __DragonFly__ \
|| defined(sgi) || defined(__sgi) \
|| defined(__MACOSX__) || defined(__APPLE__) \
|| defined(__CYGWIN__)
int CLOCK()
{
struct timespec t;
clock_gettime(CLOCK_MONOTONIC, &t);
return (t.tv_sec * 1000)+(t.tv_nsec*1e-6);
}
#endif
double _avgdur=0;
int _fpsstart=0;
double _avgfps=0;
double _fps1sec=0;
double avgdur(double newdur)
{
_avgdur=0.98*_avgdur+0.02*newdur;
return _avgdur;
}
double avgfps()
{
if(CLOCK()-_fpsstart>1000)
{
_fpsstart=CLOCK();
_avgfps=0.7*_avgfps+0.3*_fps1sec;
_fps1sec=0;
}
_fps1sec++;
return _avgfps;
}
void process(Mat& frame)
{
imshow("frame",frame);
}
int main(int argc, char** argv)
{
int frameno=0;
cv::Mat frame;
cv::VideoCapture cap(0);
for(;;)
{
cap>>frame;
clock_t start=CLOCK();
if(frame.data)process(frame);
double dur = CLOCK()-start;
printf("avg time per frame %f ms. fps %f. frameno = %d\n",avgdur(dur),avgfps(),frameno++ );
if(waitKey(1)==27)
exit(0);
}
return 0;
}
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