C# OpenCvSharp+ 微信二维码引擎实现二维码识别

微信开源了其二维码的解码功能，并贡献给 OpenCV 社区。其开源的 wechat_qrcode 项目被收录到 OpenCV contrib 项目中。从 OpenCV 4.5.2 版本开始，就可以直接使用。
该项目 github 地址：

https://github.com/opencv/opencv_contrib/tree/master/modules/wechat_qrcode

模型文件的地址：

https://github.com/WeChatCV/opencv_3rdparty

微信的扫码引擎，很早就支持了远距离二维码检测、自动调焦定位、多码检测识别等功能，它是基于 CNN 的二维码检测。

OpenCvSharp在 4.6.0.20220608 版本也加入了支持

 效果

代码

using OpenCvSharp;
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.Windows.Forms;

namespace OpenCvSharp_微信二维码引擎
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }

        const string detector_prototxt_path = "detect.prototxt";
        const string detector_caffe_model_path = "detect.caffemodel";
        const string prototxt_path = "sr.prototxt";
        const string caffe_model_path = "sr.caffemodel";
        private string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";
        WeChatQRCode wechatQrcode = null;
        Mat src = null;
        Bitmap bitmap = null;
        Stopwatch sw = null;
        StringBuilder sb = null;
        Graphics g = null;
        Pen p = new Pen(Brushes.Red);
        SolidBrush drawBush = new SolidBrush(Color.Red);
        Font drawFont = new Font("Arial", 8, FontStyle.Bold, GraphicsUnit.Millimeter);
        void Detect(string location)
        {
            sw = new Stopwatch();
            sw.Start();

            src = Cv2.ImRead(location);

            bitmap = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(src);

            if (pictureBox1.Image != null)
            {
                pictureBox1.Image.Dispose();
            }
            pictureBox1.Image = bitmap;

            wechatQrcode.DetectAndDecode(src, out var rects, out var texts);

            sw.Stop();

            sb = new StringBuilder();
            sb.AppendLine("耗时:" + sw.ElapsedMilliseconds.ToString() + "ms");

            for (int i = 0; i < rects.Length; i++)
            {
                var x1 = rects[i].At<float>(0, 0);
                var y1 = rects[i].At<float>(0, 1);
                var x2 = rects[i].At<float>(2, 0);
                var y2 = rects[i].At<float>(2, 1);
                string result = texts[i];
                DrawRect(bitmap, x1, y1, x2, y2, result);
                sb.AppendLine("内容:[" + result + "]  位置:" + x1 + "," + y1 + "," + x2 + "," + y2);
            }

            MessageBox.Show(sb.ToString(), "识别信息");
        }
        public Bitmap DrawRect(Bitmap bmp, float x1, float y1, float x2, float y2, string text)
        {
            g = Graphics.FromImage(bmp);
            g.DrawRectangle(p, x1, y1, x2 - x1, y2 - y1);
            g.DrawString(text, drawFont, drawBush, x1, y2);
            g.Dispose();
            return bmp;
        }
        private void button2_Click(object sender, EventArgs e)
        {
            OpenFileDialog ofd = new OpenFileDialog();
            ofd.Filter = fileFilter;
            if (ofd.ShowDialog() == DialogResult.OK)
            {
                Detect(ofd.FileName);
            }
        }
        private void Form1_Load(object sender, EventArgs e)
        {
            wechatQrcode = OpenCvSharp.WeChatQRCode.Create(
             detector_prototxt_path
             , detector_caffe_model_path
             , prototxt_path
             , caffe_model_path);
        }
        private void button1_Click(object sender, EventArgs e)
        {
            Detect("test.png");
        }
    }
}

Demo下载