yolov13官方框架：github.com/iMoonLab/yolov13/releases/tag/yolov13
【測試環境】
vs2019
netframework4.7.2
opencvsharp4.8.0
onnxruntime==1.16.3
【效果展示】
【調用代碼】
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Diagnostics;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using OpenCvSharp;namespace FIRC
{public partial class Form1 : Form{Mat src = new Mat();Yolov13Manager ym = new Yolov13Manager();public Form1(){InitializeComponent();}private void button1_Click(object sender, EventArgs e){OpenFileDialog openFileDialog = new OpenFileDialog();openFileDialog.Filter = "圖文件(*.*)|*.jpg;*.png;*.jpeg;*.bmp";openFileDialog.RestoreDirectory = true;openFileDialog.Multiselect = false;if (openFileDialog.ShowDialog() == DialogResult.OK){src = Cv2.ImRead(openFileDialog.FileName);pictureBox1.Image = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(src);}}private void button2_Click(object sender, EventArgs e){if(pictureBox1.Image==null){return;}Stopwatch sw = new Stopwatch();sw.Start();var result = ym.Inference(src);sw.Stop();this.Text = "耗時" + sw.Elapsed.TotalSeconds + "秒";var resultMat = ym.DrawImage(result,src);pictureBox2.Image= OpenCvSharp.Extensions.BitmapConverter.ToBitmap(resultMat); //Mat轉Bitmap}private void Form1_Load(object sender, EventArgs e){ym.LoadWeights(Application.StartupPath+ "\\weights\\yolov12n.onnx", Application.StartupPath + "\\weights\\labels.txt");}private void btn_video_Click(object sender, EventArgs e){var detector = new Yolov13Manager();detector.LoadWeights(Application.StartupPath + "\\weights\\yolov13n.onnx", Application.StartupPath + "\\weights\\labels.txt");VideoCapture capture = new VideoCapture(0);if (!capture.IsOpened()){Console.WriteLine("video not open!");return;}Mat frame = new Mat();var sw = new Stopwatch();int fps = 0;while (true){capture.Read(frame);if (frame.Empty()){Console.WriteLine("data is empty!");break;}sw.Start();var result = detector.Inference(frame);var resultImg = detector.DrawImage(result,frame);sw.Stop();fps = Convert.ToInt32(1 / sw.Elapsed.TotalSeconds);sw.Reset();Cv2.PutText(resultImg, "FPS=" + fps, new OpenCvSharp.Point(30, 30), HersheyFonts.HersheyComplex, 1.0, new Scalar(255, 0, 0), 3);//顯示結果Cv2.ImShow("Result", resultImg);int key = Cv2.WaitKey(10);if (key == 27)break;}capture.Release();}}
}
【運行步驟】
（1）首先依據官方安裝教程或者其他網站給的安裝教程，安裝好yolov13環境
（2）下載模型：yolov13n.pt
（3）導出onnx模型：yolo export model=yolov13n.pt format=onnx dynamic=False opset=12
（4）然后將yolov13.onnx模型放進FIRC\bin\x64\Debug\weights
最后運行項目選擇x64 Debug即可，由于初次運行可能報錯，如果報錯請查看blog.csdn.net/FL1623863129/article/details/135424751
解決方法
【視頻演示】
bilibili.com/video/BV1GaKRzrEC4/
