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C# YoloV8 模型效果验证工具(OnnxRuntime+ByteTrack推理)

news 2025/7/27 18:01:43

C# YoloV8 模型效果验证工具(OnnxRuntime+ByteTrack推理)

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效果

项目

代码

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效果

模型效果验证工具

项目

代码

using ByteTrack;
using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Drawing;
using System.Drawing.Imaging;
using System.Threading;
using System.Threading.Tasks;
using System.Windows.Forms;


namespace C__yolov8_OnnxRuntime_ByteTrack_Demo
{
    public partial class Form2 : Form
    {
        public Form2()
        {
            InitializeComponent();
        }

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

        YoloV8 yoloV8;
        Mat image;

        string image_path = "";
        string model_path;

        string video_path = "";
        string videoFilter = "视频|*.mp4;*.avi;*.dav";
        VideoCapture vcapture;
        VideoWriter vwriter;
        bool saveDetVideo = false;
        ByteTracker tracker;

        /// <summary>
        /// 单图推理
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void button2_Click(object sender, EventArgs e)
        {

            if (image_path == "")
            {
                return;
            }

            button2.Enabled = false;
            pictureBox2.Image = null;
            textBox1.Text = "";

            Application.DoEvents();

            image = new Mat(image_path);

            List<DetectionResult> detResults = yoloV8.Detect(image);

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

            }

            if (pictureBox2.Image != null)
            {
                pictureBox2.Image.Dispose();
            }
            pictureBox2.Image = new Bitmap(result_image.ToMemoryStream());
            textBox1.Text = yoloV8.DetectTime();

            button2.Enabled = true;

        }

        /// <summary>
        /// 窗体加载，初始化
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void Form1_Load(object sender, EventArgs e)
        {
            image_path = "test/dog.jpg";
            pictureBox1.Image = new Bitmap(image_path);

            model_path = "model/yolov8n.onnx";

            yoloV8 = new YoloV8(model_path, "model/lable.txt");
        }

        /// <summary>
        /// 选择图片
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void button1_Click_1(object sender, EventArgs e)
        {
            OpenFileDialog ofd = new OpenFileDialog();
            ofd.Filter = imgFilter;
            if (ofd.ShowDialog() != DialogResult.OK) return;

            pictureBox1.Image = null;

            image_path = ofd.FileName;
            pictureBox1.Image = new Bitmap(image_path);

            textBox1.Text = "";
            pictureBox2.Image = null;
        }

        /// <summary>
        /// 选择视频
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        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 = video_path;
            //pictureBox1.Image = null;
            //pictureBox2.Image = null;

            //button3_Click(null, null);

        }

        /// <summary>
        /// 视频推理
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        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;
            }

            tracker = new ByteTracker((int)vcapture.Fps, 200);

            Mat frame = new Mat();
            List<DetectionResult> 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();

            if (checkBox1.Checked)
            {
                vwriter = new VideoWriter("out.mp4", FourCC.X264, vcapture.Fps, new OpenCvSharp.Size(vcapture.FrameWidth, vcapture.FrameHeight));
                saveDetVideo = true;
            }
            else
            {
                saveDetVideo = false;
            }

            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;
                }
                Mat mat_temp = frame.Clone();
                _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);

                List<Track> track = new List<Track>();
                Track temp;
                foreach (DetectionResult r in detResults)
                {
                    RectBox _box = new RectBox(r.Rect.X, r.Rect.Y, r.Rect.Width, r.Rect.Height);
                    temp = new Track(_box, r.Confidence, ("label", r.ClassId), ("name", r.Class));
                    track.Add(temp);
                }

                var trackOutputs = tracker.Update(track);

                foreach (var t in trackOutputs)
                {
                    int x = (int)t.RectBox.X;
                    int y = (int)t.RectBox.Y;
                    int width = (int)t.RectBox.Width;
                    int height = (int)t.RectBox.Height;

                    if (x < 0)
                    {
                        x = 0;
                    }

                    if (y < 0)
                    {
                        y = 0;
                    }

                    if (x + width > mat_temp.Width)
                    {
                        width = mat_temp.Width - x;
                    }

                    if (y + height > mat_temp.Height)
                    {
                        height = mat_temp.Height - y;
                    }

                    Rect rect = new Rect(x, y, width, height);

                    string txt = $"{t["name"]}-{t.TrackId}:{t.Score:P0}";
                    
                    //if (t["name"].ToString() != "Plate" && t["name"].ToString() != "Person")
                    //{
                    //    Mat mat_car = new Mat(mat_temp, rect);
                    //    KeyValuePair<string, float> cls = yoloV8_Cls.Detect(mat_car);
                    //    mat_car.Dispose();
                    //    txt += $" {cls.Key}:{cls.Value:P0}";
                    //}

                    //string txt = $"{t["name"]}-{t.TrackId}";
                    Cv2.PutText(frame, txt, new OpenCvSharp.Point(rect.TopLeft.X, rect.TopLeft.Y - 10), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);
                    Cv2.Rectangle(frame, rect, Scalar.Red, thickness: 2);
                }
                mat_temp.Dispose();


                if (saveDetVideo)
                {
                    vwriter.Write(frame);
                }

                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;
                }
            }

            Cv2.DestroyAllWindows();
            vcapture.Release();
            if (saveDetVideo)
            {
                vwriter.Release();
            }

        }

        string model_path1 = "";
        string model_path2 = "";
        string onnxFilter = "onnx模型|*.onnx;";

        private void button5_Click(object sender, EventArgs e)
        {
            if (video_path == "")
            {
                MessageBox.Show("请先选择视频！");
                return;
            }

            if (model_path1 == "")
            {
                MessageBox.Show("选择模型1");
                OpenFileDialog ofd = new OpenFileDialog();
                ofd.Filter = onnxFilter;
                ofd.InitialDirectory = Application.StartupPath + "\\model";
                if (ofd.ShowDialog() != DialogResult.OK) return;
                model_path1 = ofd.FileName;
            }

            if (model_path2 == "")
            {
                MessageBox.Show("选择模型2");
                OpenFileDialog ofd1 = new OpenFileDialog();
                ofd1.Filter = onnxFilter;
                ofd1.InitialDirectory = Application.StartupPath + "\\model";
                if (ofd1.ShowDialog() != DialogResult.OK) return;
                model_path2 = ofd1.FileName;
            }

            textBox1.Text = "开始检测";
            Application.DoEvents();

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

                YoloV8_Compare yoloV8 = new YoloV8_Compare(model_path1, model_path2, "model/lable.txt");

                Mat frame = new Mat();

                // 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, vcapture.FrameHeight / 2);

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

                    _stopwatch.Restart();

                    delay = (int)(1000 / videoFps);

                    Mat result = yoloV8.Detect(frame, videoFps.ToString("F2"));

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

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

                textBox1.Invoke(new Action(() =>
                {
                    textBox1.Text = "检测结束！";

                }));

            });
            task.Start();

        }

        //保存
        SaveFileDialog sdf = new SaveFileDialog();
        private void button6_Click(object sender, EventArgs e)
        {
            if (pictureBox2.Image == null)
            {
                return;
            }
            Bitmap output = new Bitmap(pictureBox2.Image);
            sdf.Title = "保存";
            sdf.Filter = "Images (*.jpg)|*.jpg|Images (*.png)|*.png|Images (*.bmp)|*.bmp";
            if (sdf.ShowDialog() == DialogResult.OK)
            {
                switch (sdf.FilterIndex)
                {
                    case 1:
                        {
                            output.Save(sdf.FileName, ImageFormat.Jpeg);
                            break;
                        }
                    case 2:
                        {
                            output.Save(sdf.FileName, ImageFormat.Png);
                            break;
                        }
                    case 3:
                        {
                            output.Save(sdf.FileName, ImageFormat.Bmp);
                            break;
                        }
                }
                MessageBox.Show("保存成功，位置：" + sdf.FileName);
            }

        }

        /// <summary>
        /// 选择模型
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void button7_Click(object sender, EventArgs e)
        {
            OpenFileDialog ofd = new OpenFileDialog();
            ofd.Filter = onnxFilter;
            ofd.InitialDirectory = Application.StartupPath + "\\model";
            if (ofd.ShowDialog() != DialogResult.OK) return;
            model_path = ofd.FileName;
            yoloV8 = new YoloV8(model_path, "model/lable.txt");

        }
    }

}

using ByteTrack;
using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Drawing;
using System.Drawing.Imaging;
using System.Threading;
using System.Threading.Tasks;
using System.Windows.Forms;namespace C__yolov8_OnnxRuntime_ByteTrack_Demo
{public partial class Form2 : Form{public Form2(){InitializeComponent();}string imgFilter = "图片|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";YoloV8 yoloV8;Mat image;string image_path = "";string model_path;string video_path = "";string videoFilter = "视频|*.mp4;*.avi;*.dav";VideoCapture vcapture;VideoWriter vwriter;bool saveDetVideo = false;ByteTracker tracker;/// <summary>/// 单图推理/// </summary>/// <param name="sender"></param>/// <param name="e"></param>private void button2_Click(object sender, EventArgs e){if (image_path == ""){return;}button2.Enabled = false;pictureBox2.Image = null;textBox1.Text = "";Application.DoEvents();image = new Mat(image_path);List<DetectionResult> detResults = yoloV8.Detect(image);//绘制结果Mat result_image = image.Clone();foreach (DetectionResult r in detResults){string info = $"{r.Class}:{r.Confidence:P0}";//绘制Cv2.PutText(result_image, info, new OpenCvSharp.Point(r.Rect.TopLeft.X, r.Rect.TopLeft.Y - 10), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);Cv2.Rectangle(result_image, r.Rect, Scalar.Red, thickness: 2);}if (pictureBox2.Image != null){pictureBox2.Image.Dispose();}pictureBox2.Image = new Bitmap(result_image.ToMemoryStream());textBox1.Text = yoloV8.DetectTime();button2.Enabled = true;}/// <summary>/// 窗体加载，初始化/// </summary>/// <param name="sender"></param>/// <param name="e"></param>private void Form1_Load(object sender, EventArgs e){image_path = "test/dog.jpg";pictureBox1.Image = new Bitmap(image_path);model_path = "model/yolov8n.onnx";yoloV8 = new YoloV8(model_path, "model/lable.txt");}/// <summary>/// 选择图片/// </summary>/// <param name="sender"></param>/// <param name="e"></param>private void button1_Click_1(object sender, EventArgs e){OpenFileDialog ofd = new OpenFileDialog();ofd.Filter = imgFilter;if (ofd.ShowDialog() != DialogResult.OK) return;pictureBox1.Image = null;image_path = ofd.FileName;pictureBox1.Image = new Bitmap(image_path);textBox1.Text = "";pictureBox2.Image = null;}/// <summary>/// 选择视频/// </summary>/// <param name="sender"></param>/// <param name="e"></param>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 = video_path;//pictureBox1.Image = null;//pictureBox2.Image = null;//button3_Click(null, null);}/// <summary>/// 视频推理/// </summary>/// <param name="sender"></param>/// <param name="e"></param>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;}tracker = new ByteTracker((int)vcapture.Fps, 200);Mat frame = new Mat();List<DetectionResult> detResults;// 获取视频的fpsdouble videoFps = vcapture.Get(VideoCaptureProperties.Fps);// 计算等待时间（毫秒）int delay = (int)(1000 / videoFps);Stopwatch _stopwatch = new Stopwatch();if (checkBox1.Checked){vwriter = new VideoWriter("out.mp4", FourCC.X264, vcapture.Fps, new OpenCvSharp.Size(vcapture.FrameWidth, vcapture.FrameHeight));saveDetVideo = true;}else{saveDetVideo = false;}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;}Mat mat_temp = frame.Clone();_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);List<Track> track = new List<Track>();Track temp;foreach (DetectionResult r in detResults){RectBox _box = new RectBox(r.Rect.X, r.Rect.Y, r.Rect.Width, r.Rect.Height);temp = new Track(_box, r.Confidence, ("label", r.ClassId), ("name", r.Class));track.Add(temp);}var trackOutputs = tracker.Update(track);foreach (var t in trackOutputs){int x = (int)t.RectBox.X;int y = (int)t.RectBox.Y;int width = (int)t.RectBox.Width;int height = (int)t.RectBox.Height;if (x < 0){x = 0;}if (y < 0){y = 0;}if (x + width > mat_temp.Width){width = mat_temp.Width - x;}if (y + height > mat_temp.Height){height = mat_temp.Height - y;}Rect rect = new Rect(x, y, width, height);string txt = $"{t["name"]}-{t.TrackId}:{t.Score:P0}";//if (t["name"].ToString() != "Plate" && t["name"].ToString() != "Person")//{//    Mat mat_car = new Mat(mat_temp, rect);//    KeyValuePair<string, float> cls = yoloV8_Cls.Detect(mat_car);//    mat_car.Dispose();//    txt += $" {cls.Key}:{cls.Value:P0}";//}//string txt = $"{t["name"]}-{t.TrackId}";Cv2.PutText(frame, txt, new OpenCvSharp.Point(rect.TopLeft.X, rect.TopLeft.Y - 10), HersheyFonts.HersheySimplex, 1, Scalar.Red, 2);Cv2.Rectangle(frame, rect, Scalar.Red, thickness: 2);}mat_temp.Dispose();if (saveDetVideo){vwriter.Write(frame);}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;}}Cv2.DestroyAllWindows();vcapture.Release();if (saveDetVideo){vwriter.Release();}}string model_path1 = "";string model_path2 = "";string onnxFilter = "onnx模型|*.onnx;";private void button5_Click(object sender, EventArgs e){if (video_path == ""){MessageBox.Show("请先选择视频！");return;}if (model_path1 == ""){MessageBox.Show("选择模型1");OpenFileDialog ofd = new OpenFileDialog();ofd.Filter = onnxFilter;ofd.InitialDirectory = Application.StartupPath + "\\model";if (ofd.ShowDialog() != DialogResult.OK) return;model_path1 = ofd.FileName;}if (model_path2 == ""){MessageBox.Show("选择模型2");OpenFileDialog ofd1 = new OpenFileDialog();ofd1.Filter = onnxFilter;ofd1.InitialDirectory = Application.StartupPath + "\\model";if (ofd1.ShowDialog() != DialogResult.OK) return;model_path2 = ofd1.FileName;}textBox1.Text = "开始检测";Application.DoEvents();Task task = new Task(() =>{VideoCapture vcapture = new VideoCapture(video_path);if (!vcapture.IsOpened()){MessageBox.Show("打开视频文件失败");return;}YoloV8_Compare yoloV8 = new YoloV8_Compare(model_path1, model_path2, "model/lable.txt");Mat frame = new Mat();// 获取视频的fpsdouble 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, vcapture.FrameHeight / 2);while (vcapture.Read(frame)){if (frame.Empty()){MessageBox.Show("读取失败");return;}_stopwatch.Restart();delay = (int)(1000 / videoFps);Mat result = yoloV8.Detect(frame, videoFps.ToString("F2"));Cv2.ImShow("DetectionResult 按下ESC，退出", result);// for test// delay = 1;delay = (int)(delay - _stopwatch.ElapsedMilliseconds);if (delay <= 0){delay = 1;}//Console.WriteLine("delay:" + delay.ToString()) ;// 如果按下ESC或点击关闭，退出循环if (Cv2.WaitKey(delay) == 27 || Cv2.GetWindowProperty("DetectionResult 按下ESC，退出", WindowPropertyFlags.Visible) < 1.0){Cv2.DestroyAllWindows();vcapture.Release();break;}}textBox1.Invoke(new Action(() =>{textBox1.Text = "检测结束！";}));});task.Start();}//保存SaveFileDialog sdf = new SaveFileDialog();private void button6_Click(object sender, EventArgs e){if (pictureBox2.Image == null){return;}Bitmap output = new Bitmap(pictureBox2.Image);sdf.Title = "保存";sdf.Filter = "Images (*.jpg)|*.jpg|Images (*.png)|*.png|Images (*.bmp)|*.bmp";if (sdf.ShowDialog() == DialogResult.OK){switch (sdf.FilterIndex){case 1:{output.Save(sdf.FileName, ImageFormat.Jpeg);break;}case 2:{output.Save(sdf.FileName, ImageFormat.Png);break;}case 3:{output.Save(sdf.FileName, ImageFormat.Bmp);break;}}MessageBox.Show("保存成功，位置：" + sdf.FileName);}}/// <summary>/// 选择模型/// </summary>/// <param name="sender"></param>/// <param name="e"></param>private void button7_Click(object sender, EventArgs e){OpenFileDialog ofd = new OpenFileDialog();ofd.Filter = onnxFilter;ofd.InitialDirectory = Application.StartupPath + "\\model";if (ofd.ShowDialog() != DialogResult.OK) return;model_path = ofd.FileName;yoloV8 = new YoloV8(model_path, "model/lable.txt");}}}

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