[C#]C# winform部署yolov13目标检测的onnx模型

yolov13官方框架：github.com/iMoonLab/yolov13/releases/tag/yolov13

【测试环境】

vs2019

netframework4.7.2

opencvsharp4.8.0

onnxruntime==1.16.3

【效果展示】

【调用代码】

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 = "图文件(*.*)|*.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 = "耗时" + sw.Elapsed.TotalSeconds + "秒";var resultMat = ym.DrawImage(result,src);pictureBox2.Image= OpenCvSharp.Extensions.BitmapConverter.ToBitmap(resultMat); //Mat转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);//显示结果Cv2.ImShow("Result", resultImg);int key = Cv2.WaitKey(10);if (key == 27)break;}capture.Release();}}
}

【运行步骤】

（1）首先依据官方安装教程或者其他网站给的安装教程，安装好yolov13环境

（2）下载模型：yolov13n.pt
（3）导出onnx模型：yolo export model=yolov13n.pt format=onnx dynamic=False opset=12
（4）然后将yolov13.onnx模型放进FIRC\bin\x64\Debug\weights
最后运行项目选择x64 Debug即可，由于初次运行可能报错，如果报错请查看blog.csdn.net/FL1623863129/article/details/135424751
解决方法

【视频演示】

bilibili.com/video/BV1GaKRzrEC4/