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C#精确计算算法运行时间

2016-01-16 13:22 501 查看






internal class HiperfTimer
{
[DllImport("Kernel32.dll")]
private static extern bool QueryPerformanceCounter(out long lpCount);

[DllImport("Kernel32.dll")]
private static extern bool QueryPerformanceFrequency(out long lpFrequency);

private long startTime, stopTime;
private long freq;
public HiperfTimer()
{
startTime = 0;
stopTime = 0;
if (QueryPerformanceFrequency(out freq) == false)
{
throw new Win32Exception();
}
}

/// <summary>
/// 开始计时
/// </summary>
public void Start()
{
Thread.Sleep(0);
QueryPerformanceCounter(out startTime);
}

/// <summary>
/// 停止计时
/// </summary>
public void Stop()
{
QueryPerformanceCounter(out stopTime);
}

/// <summary>
/// 获取从Start()->Stop()中间的精确时间间隔
/// </summary>
public double Duration
{
get
{
return (double)(stopTime - startTime) * 1000 / (double)freq;
}
}
}

myTimer.Start();

#region 需要计时部分

// Create a new SURF Features Detector using the given parameters
SpeededUpRobustFeaturesDetector surf =
new SpeededUpRobustFeaturesDetector(threshold, octaves, initial);

List<SpeededUpRobustFeaturePoint> points = surf.ProcessImage(lenna);

// Create a new AForge's Corner Marker Filter
FeaturesMarker features = new FeaturesMarker(points);

// Apply the filter and display it on a picturebox
pictureBox1.Image = features.Apply(lenna);

#endregion

myTimer.Stop();
MessageBox.Show("算法用时"+myTimer.Duration.ToString() + "毫秒");




           
可以看到,在一副3648×2736的超清图像下测试surf算法,用时14.171毫秒
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标签:  c# 算法运行时间