通过命名管道发送的视频帧非常慢 [英] Video frames send through Named Pipe very slow

问题描述

我有一个可以处理带有其他图形的视频并在Windows窗体中显示输出的应用程序.我不得不将视频处理分为后台进程/服务，然后将视频/帧显示到前端UI.准备好后，图像就会通过命名管道发送.

I have an application that processes video with additional graphics and displays the output in a Windows Form. I had to separate the video processing into a background process/service and displaying the video/frames to a frontend UI. The images are sent via named pipes as soon as they are ready.

一切正常，但是问题在于通过命名管道发送视频非常慢.这是相关的代码:

Everything works, but the issue is that sending the video through the named pipe is very slow. Here's the relevant code:

背景流程:

if (serverPipe.isConnected()) {
   ImageConverter converter = new ImageConverter();
   erverPipe.WriteBytes((byte[])converter.ConvertTo(_currentImage.ToBitmap(), typeof(byte[])));
   serverPipe.Flush();
}

前景UI应用程序:

clientPipe.DataReceived += (sndr, args) =>
{
    form.updatePictureBox(args.Data);
};

命名的管道代码来自于此帖子: c#全双工异步命名管道.NET

The named pipe code is from this post: c# Full Duplex Asynchronous Named Pipes .NET

Github链接: https://github. com/cliftonm/clifton/tree/master/Clifton.Core/Clifton.Core.Pipes

Github link: https://github.com/cliftonm/clifton/tree/master/Clifton.Core/Clifton.Core.Pipes

我通过命名管道获得的FPS接近每秒1或2帧.我不确定是否要处理命名管道的工作方式限制或代码效率低下.

The FPS that I get through the named pipe is close to 1 or 2 frames per second. I'm not sure if I'm dealing with a limitation in the way named pipes work or an inefficiency in my code.

推荐答案

我使用您提到的库编写了一个客户端和服务器控制台应用程序，并且在我的机器上，这两者之间需要大约50-60ms的时间来发送4 MB的数据流程.因此，我认为您不应对命名管道限制.我建议您尝试衡量代码的其他部分，并缩小导致FPS降低的原因.

I wrote a client and a server console app using the library you mentioned and on my machine it takes about 50-60ms to send 4 MB of data between the two processes. Therefore I think that you do not deal with a named pipe limitation. I suggest that you try to measure the other parts of your code and try to narrow down what the cause for the low FPS is.

服务器

using Clifton.Core.Pipes;
using System;
using System.Diagnostics;

namespace NamedPipeTest
{
    class Program
    {
        static void Main(string[] args)
        {
            StartServer();
            Console.ReadLine();
        }

        private static void StartServer()
        {
            ServerPipe serverPipe = new ServerPipe("Test", p => p.StartByteReaderAsync());
            var sw = new Stopwatch();

            serverPipe.Connected += (s, ea) => {
                Console.WriteLine("Server connected");
                sw.Start();
            };
            serverPipe.DataReceived += (s, ea) => {
                Console.WriteLine($"{DateTime.Now.ToString("hh:mm:ss.fff")}\t {sw.ElapsedMilliseconds}\t Data received. Length: {ea.Len}");
                sw.Restart();
            };
        }
    }

客户

using Clifton.Core.Pipes;
using System;

namespace NamedPipeTest
{
    class Program
    {
        static void Main(string[] args)
        {
            StartClient(iterations: 100);
            Console.ReadLine();
        }

        private static void StartClient(int iterations)
        {
            ClientPipe clientPipe = new ClientPipe(".", "Test", p => p.StartByteReaderAsync());
            clientPipe.Connect();

            byte[] data = CreateRandomData(sizeMb: 4);

            for (int i = 0; i < iterations; i++)
            {
                clientPipe.WriteBytes(data);
                Console.WriteLine($"{DateTime.Now.ToString("hh:mm:ss.fff")}\t Wrote data {i}");
            }
        }

        private static byte[] CreateRandomData(int sizeMb)
        {
            var data = new byte[1024 * 1024 * sizeMb];
            new Random().NextBytes(data);
            return data;
        }
    }
}

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