C# yolov8 OpenVINO 同步、异步接口视频推理

C# yolov8 OpenVINO 同步、异步接口视频推理

目录

效果

项目

代码

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效果

同步推理效果

异步推理效果

项目

代码

using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Threading;
using System.Windows.Forms;


namespace yolov8_OpenVINO_Demo
{
    public partial class Form2 : Form
    {
        public Form2()
        {
            InitializeComponent();
        }

        string imgFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";

        YoloV8 yoloV8;
        YoloV8Async yoloV8Async;

        string model_path;

        string video_path = "";
        string videoFilter = "*.mp4|*.mp4;";
        VideoCapture vcapture;

        ///


        /// 窗体加载，初始化
        ///
        ///
        ///
        private void Form1_Load(object sender, EventArgs e)
        {
            model_path = "model/yolov8n.onnx";
            yoloV8 = new YoloV8(model_path, "model/lable.txt");

            yoloV8Async = new YoloV8Async(model_path, "model/lable.txt");
        }

        ///


        /// 选择视频
        ///
        ///
        ///
        private void button4_Click(object sender, EventArgs e)
        {
            OpenFileDialog ofd = new OpenFileDialog();
            ofd.Filter = videoFilter;
            ofd.InitialDirectory = Application.StartupPath + "\\test";
            if (ofd.ShowDialog() != DialogResult.OK) return;

            video_path = ofd.FileName;
            textBox1.Text = "";

        }

        ///


        /// 同步接口-视频推理
        ///
        ///
        ///
        private void button3_Click(object sender, EventArgs e)
        {
            if (video_path == "")
            {
                MessageBox.Show("请先选择视频！");
                return;
            }

            textBox1.Text = "开始检测";

            Application.DoEvents();

            Thread thread = new Thread(new ThreadStart(VideoDetection));

            thread.Start();
            thread.Join();

            textBox1.Text = "检测完成！";
        }

        void VideoDetection()
        {
            vcapture = new VideoCapture(video_path);
            if (!vcapture.IsOpened())
            {
                MessageBox.Show("打开视频文件失败");
                return;
            }

            Mat frame = new Mat();
            List detResults;

            // 获取视频的fps
            double videoFps = vcapture.Get(VideoCaptureProperties.Fps);
            // 计算等待时间（毫秒）
            int delay = (int)(1000 / videoFps);
            Stopwatch _stopwatch = new Stopwatch();

            Cv2.NamedWindow("DetectionResult 按下ESC，退出", WindowFlags.Normal);
            Cv2.ResizeWindow("DetectionResult 按下ESC，退出", vcapture.FrameWidth / 2, vcapture.FrameHeight / 2);

            while (vcapture.Read(frame))
            {
                if (frame.Empty())
                {
                    MessageBox.Show("读取失败");
                    return;
                }

                _stopwatch.Restart();

                delay = (int)(1000 / videoFps);

                detResults = yoloV8.Detect(frame);

                //绘制结果
                foreach (DetectionResult r in detResults)
                {
                    Cv2.PutText(frame, $"{r.Class}:{r.Confidence:P0}", new OpenCvSharp.Point(r.Rect.TopLeft.X, r.Rect.TopLeft.Y - 10), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
                    Cv2.Rectangle(frame, r.Rect, Scalar.Red, thickness: 2);
                }

                Cv2.PutText(frame, "preprocessTime:" + yoloV8.preprocessTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 30), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
                Cv2.PutText(frame, "inferTime:" + yoloV8.inferTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 70), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
                Cv2.PutText(frame, "postprocessTime:" + yoloV8.postprocessTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 110), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
                Cv2.PutText(frame, "totalTime:" + yoloV8.totalTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 150), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
                Cv2.PutText(frame, "video fps:" + videoFps.ToString("F2"), new OpenCvSharp.Point(10, 190), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
                Cv2.PutText(frame, "det fps:" + yoloV8.detFps.ToString("F2"), new OpenCvSharp.Point(10, 230), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);

                Cv2.ImShow("DetectionResult 按下ESC，退出", frame);

                //for test
                delay = 1;
                //delay = (int)(delay - _stopwatch.ElapsedMilliseconds);
                //if (delay <= 0)
                //{
                //    delay = 1;
                //}
                //Console.WriteLine("delay:" + delay.ToString()) ;
                if (Cv2.WaitKey(delay) == 27 || Cv2.GetWindowProperty("DetectionResult 按下ESC，退出", WindowPropertyFlags.Visible) < 1.0)
                {
                    Cv2.DestroyAllWindows();
                    vcapture.Release();
                    break; // 如果按下ESC，退出循环
                }
            }

            Cv2.DestroyAllWindows();
            vcapture.Release();
        }


        ///


        /// 异步接口-视频推理
        ///
        ///
        ///
        private void button1_Click(object sender, EventArgs e)
        {
            if (video_path == "")
            {
                MessageBox.Show("请先选择视频！");
                return;
            }

            textBox1.Text = "开始异步推理检测";

            Application.DoEvents();

            Thread thread = new Thread(new ThreadStart(VideoDetectionAsync));

            thread.Start();
            thread.Join();

            textBox1.Text = "异步推理检测完成！";
        }

        void VideoDetectionAsync()
        {
            vcapture = new VideoCapture(video_path);
            if (!vcapture.IsOpened())
            {
                MessageBox.Show("打开视频文件失败");
                return;
            }

            Mat frame = new Mat();
            List detResults;

            // 获取视频的fps
            double videoFps = vcapture.Get(VideoCaptureProperties.Fps);
            // 计算等待时间（毫秒）
            int delay = (int)(1000 / videoFps);
            Stopwatch _stopwatch = new Stopwatch();

            Cv2.NamedWindow("DetectionResult 按下ESC，退出", WindowFlags.Normal);
            Cv2.ResizeWindow("DetectionResult 按下ESC，退出", vcapture.FrameWidth / 2, vcapture.FrameHeight / 2);

            vcapture.Read(frame);

            while (true)
            {
                if (!vcapture.Read(frame))
                {
                    break;
                }

                detResults = yoloV8Async.Detect(frame);

                //绘制结果
                foreach (DetectionResult r in detResults)
                {
                    Cv2.PutText(frame, $"{r.Class}:{r.Confidence:P0}", new OpenCvSharp.Point(r.Rect.TopLeft.X, r.Rect.TopLeft.Y - 10), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
                    Cv2.Rectangle(frame, r.Rect, Scalar.Red, thickness: 2);
                }
                Cv2.PutText(frame, "preprocessTime:" + yoloV8Async.preprocessTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 30), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
                Cv2.PutText(frame, "inferTime:" + yoloV8Async.inferTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 70), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
                Cv2.PutText(frame, "postprocessTime:" + yoloV8Async.postprocessTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 110), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
                Cv2.PutText(frame, "totalTime:" + yoloV8Async.totalTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 150), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
                Cv2.PutText(frame, "video fps:" + videoFps.ToString("F2"), new OpenCvSharp.Point(10, 190), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
                Cv2.PutText(frame, "det fps:" + yoloV8Async.detFps.ToString("F2"), new OpenCvSharp.Point(10, 230), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);

                Cv2.ImShow("DetectionResult 按下ESC，退出", frame);

                // for test
                delay = 1;
                //delay = (int)(delay - _stopwatch.ElapsedMilliseconds);
                //if (delay <= 0)
                //{
                //    delay = 1;
                //}
                //Console.WriteLine("delay:" + delay.ToString()) ;
                if (Cv2.WaitKey(delay) == 27 || Cv2.GetWindowProperty("DetectionResult 按下ESC，退出", WindowPropertyFlags.Visible) < 1.0)
                {
                    Cv2.DestroyAllWindows();
                    vcapture.Release();
                    break; // 如果按下ESC，退出循环
                }
            }

            Cv2.DestroyAllWindows();
            vcapture.Release();
        }

    }

}

  1. using OpenCvSharp;
  2. using System;
  3. using System.Collections.Generic;
  4. using System.Diagnostics;
  5. using System.Threading;
  6. using System.Windows.Forms;
  7.  
  8.  
  9. namespace yolov8_OpenVINO_Demo
  10. {
  11.     public partial class Form2 : Form
  12.     {
  13.         public Form2()
  14.         {
  15.             InitializeComponent();
  16.         }
  17.  
  18.         string imgFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";
  19.  
  20.         YoloV8 yoloV8;
  21.         YoloV8Async yoloV8Async;
  22.  
  23.         string model_path;
  24.  
  25.         string video_path = "";
  26.         string videoFilter = "*.mp4|*.mp4;";
  27.         VideoCapture vcapture;
  28.  
  29.         /// <summary>
  30.         /// 窗体加载，初始化
  31.         /// </summary>
  32.         /// <param name="sender"></param>
  33.         /// <param name="e"></param>
  34.         private void Form1_Load(object sender, EventArgs e)
  35.         {
  36.             model_path = "model/yolov8n.onnx";
  37.             yoloV8 = new YoloV8(model_path, "model/lable.txt");
  38.  
  39.             yoloV8Async = new YoloV8Async(model_path, "model/lable.txt");
  40.         }
  41.  
  42.         /// <summary>
  43.         /// 选择视频
  44.         /// </summary>
  45.         /// <param name="sender"></param>
  46.         /// <param name="e"></param>
  47.         private void button4_Click(object sender, EventArgs e)
  48.         {
  49.             OpenFileDialog ofd = new OpenFileDialog();
  50.             ofd.Filter = videoFilter;
  51.             ofd.InitialDirectory = Application.StartupPath + "\\test";
  52.             if (ofd.ShowDialog() != DialogResult.OK) return;
  53.  
  54.             video_path = ofd.FileName;
  55.             textBox1.Text = "";
  56.  
  57.         }
  58.  
  59.         /// <summary>
  60.         /// 同步接口-视频推理
  61.         /// </summary>
  62.         /// <param name="sender"></param>
  63.         /// <param name="e"></param>
  64.         private void button3_Click(object sender, EventArgs e)
  65.         {
  66.             if (video_path == "")
  67.             {
  68.                 MessageBox.Show("请先选择视频！");
  69.                 return;
  70.             }
  71.  
  72.             textBox1.Text = "开始检测";
  73.  
  74.             Application.DoEvents();
  75.  
  76.             Thread thread = new Thread(new ThreadStart(VideoDetection));
  77.  
  78.             thread.Start();
  79.             thread.Join();
  80.  
  81.             textBox1.Text = "检测完成！";
  82.         }
  83.  
  84.         void VideoDetection()
  85.         {
  86.             vcapture = new VideoCapture(video_path);
  87.             if (!vcapture.IsOpened())
  88.             {
  89.                 MessageBox.Show("打开视频文件失败");
  90.                 return;
  91.             }
  92.  
  93.             Mat frame = new Mat();
  94.             List<DetectionResult> detResults;
  95.  
  96.             // 获取视频的fps
  97.             double videoFps = vcapture.Get(VideoCaptureProperties.Fps);
  98.             // 计算等待时间（毫秒）
  99.             int delay = (int)(1000 / videoFps);
  100.             Stopwatch _stopwatch = new Stopwatch();
  101.  
  102.             Cv2.NamedWindow("DetectionResult 按下ESC，退出", WindowFlags.Normal);
  103.             Cv2.ResizeWindow("DetectionResult 按下ESC，退出", vcapture.FrameWidth / 2, vcapture.FrameHeight / 2);
  104.  
  105.             while (vcapture.Read(frame))
  106.             {
  107.                 if (frame.Empty())
  108.                 {
  109.                     MessageBox.Show("读取失败");
  110.                     return;
  111.                 }
  112.  
  113.                 _stopwatch.Restart();
  114.  
  115.                 delay = (int)(1000 / videoFps);
  116.  
  117.                 detResults = yoloV8.Detect(frame);
  118.  
  119.                 //绘制结果
  120.                 foreach (DetectionResult r in detResults)
  121.                 {
  122.                     Cv2.PutText(frame, $"{r.Class}:{r.Confidence:P0}", new OpenCvSharp.Point(r.Rect.TopLeft.X, r.Rect.TopLeft.Y - 10), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  123.                     Cv2.Rectangle(frame, r.Rect, Scalar.Red, thickness: 2);
  124.                 }
  125.  
  126.                 Cv2.PutText(frame, "preprocessTime:" + yoloV8.preprocessTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 30), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  127.                 Cv2.PutText(frame, "inferTime:" + yoloV8.inferTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 70), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  128.                 Cv2.PutText(frame, "postprocessTime:" + yoloV8.postprocessTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 110), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  129.                 Cv2.PutText(frame, "totalTime:" + yoloV8.totalTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 150), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  130.                 Cv2.PutText(frame, "video fps:" + videoFps.ToString("F2"), new OpenCvSharp.Point(10, 190), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  131.                 Cv2.PutText(frame, "det fps:" + yoloV8.detFps.ToString("F2"), new OpenCvSharp.Point(10, 230), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  132.  
  133.                 Cv2.ImShow("DetectionResult 按下ESC，退出", frame);
  134.  
  135.                 //for test
  136.                 delay = 1;
  137.                 //delay = (int)(delay - _stopwatch.ElapsedMilliseconds);
  138.                 //if (delay <= 0)
  139.                 //{
  140.                 //    delay = 1;
  141.                 //}
  142.                 //Console.WriteLine("delay:" + delay.ToString()) ;
  143.                 if (Cv2.WaitKey(delay) == 27 || Cv2.GetWindowProperty("DetectionResult 按下ESC，退出", WindowPropertyFlags.Visible) < 1.0)
  144.                 {
  145.                     Cv2.DestroyAllWindows();
  146.                     vcapture.Release();
  147.                     break; // 如果按下ESC，退出循环
  148.                 }
  149.             }
  150.  
  151.             Cv2.DestroyAllWindows();
  152.             vcapture.Release();
  153.         }
  154.  
  155.  
  156.         /// <summary>
  157.         /// 异步接口-视频推理
  158.         /// </summary>
  159.         /// <param name="sender"></param>
  160.         /// <param name="e"></param>
  161.         private void button1_Click(object sender, EventArgs e)
  162.         {
  163.             if (video_path == "")
  164.             {
  165.                 MessageBox.Show("请先选择视频！");
  166.                 return;
  167.             }
  168.  
  169.             textBox1.Text = "开始异步推理检测";
  170.  
  171.             Application.DoEvents();
  172.  
  173.             Thread thread = new Thread(new ThreadStart(VideoDetectionAsync));
  174.  
  175.             thread.Start();
  176.             thread.Join();
  177.  
  178.             textBox1.Text = "异步推理检测完成！";
  179.         }
  180.  
  181.         void VideoDetectionAsync()
  182.         {
  183.             vcapture = new VideoCapture(video_path);
  184.             if (!vcapture.IsOpened())
  185.             {
  186.                 MessageBox.Show("打开视频文件失败");
  187.                 return;
  188.             }
  189.  
  190.             Mat frame = new Mat();
  191.             List<DetectionResult> detResults;
  192.  
  193.             // 获取视频的fps
  194.             double videoFps = vcapture.Get(VideoCaptureProperties.Fps);
  195.             // 计算等待时间（毫秒）
  196.             int delay = (int)(1000 / videoFps);
  197.             Stopwatch _stopwatch = new Stopwatch();
  198.  
  199.             Cv2.NamedWindow("DetectionResult 按下ESC，退出", WindowFlags.Normal);
  200.             Cv2.ResizeWindow("DetectionResult 按下ESC，退出", vcapture.FrameWidth / 2, vcapture.FrameHeight / 2);
  201.  
  202.             vcapture.Read(frame);
  203.  
  204.             while (true)
  205.             {
  206.                 if (!vcapture.Read(frame))
  207.                 {
  208.                     break;
  209.                 }
  210.  
  211.                 detResults = yoloV8Async.Detect(frame);
  212.  
  213.                 //绘制结果
  214.                 foreach (DetectionResult r in detResults)
  215.                 {
  216.                     Cv2.PutText(frame, $"{r.Class}:{r.Confidence:P0}", new OpenCvSharp.Point(r.Rect.TopLeft.X, r.Rect.TopLeft.Y - 10), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  217.                     Cv2.Rectangle(frame, r.Rect, Scalar.Red, thickness: 2);
  218.                 }
  219.                 Cv2.PutText(frame, "preprocessTime:" + yoloV8Async.preprocessTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 30), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  220.                 Cv2.PutText(frame, "inferTime:" + yoloV8Async.inferTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 70), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  221.                 Cv2.PutText(frame, "postprocessTime:" + yoloV8Async.postprocessTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 110), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  222.                 Cv2.PutText(frame, "totalTime:" + yoloV8Async.totalTime.ToString("F2") + "ms", new OpenCvSharp.Point(10, 150), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  223.                 Cv2.PutText(frame, "video fps:" + videoFps.ToString("F2"), new OpenCvSharp.Point(10, 190), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  224.                 Cv2.PutText(frame, "det fps:" + yoloV8Async.detFps.ToString("F2"), new OpenCvSharp.Point(10, 230), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
  225.  
  226.                 Cv2.ImShow("DetectionResult 按下ESC，退出", frame);
  227.  
  228.                 // for test
  229.                 delay = 1;
  230.                 //delay = (int)(delay - _stopwatch.ElapsedMilliseconds);
  231.                 //if (delay <= 0)
  232.                 //{
  233.                 //    delay = 1;
  234.                 //}
  235.                 //Console.WriteLine("delay:" + delay.ToString()) ;
  236.                 if (Cv2.WaitKey(delay) == 27 || Cv2.GetWindowProperty("DetectionResult 按下ESC，退出", WindowPropertyFlags.Visible) < 1.0)
  237.                 {
  238.                     Cv2.DestroyAllWindows();
  239.                     vcapture.Release();
  240.                     break; // 如果按下ESC，退出循环
  241.                 }
  242.             }
  243.  
  244.             Cv2.DestroyAllWindows();
  245.             vcapture.Release();
  246.         }
  247.  
  248.     }
  249.  
  250. }

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