• 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

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    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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  • 原文地址：https://blog.csdn.net/lw112190/article/details/139780455