项目
using OpenCvSharp; using OpenCvSharp.Extensions; using Sdcb.PaddleDetection; using Sdcb.PaddleInference; using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Windows.Forms; namespace PaddleDetection印章检测 { public partial class Form1 : Form { public Form1() { InitializeComponent(); } Bitmap bmp; string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png"; string img = ""; double fontScale = 4D; int thickness = 4; LineTypes lineType = LineTypes.Link4; PaddleConfig paddleConfig; PaddleDetector d; String startupPath; float confidence = 0.90f; DateTime dt1 = DateTime.Now; DateTime dt2 = DateTime.Now; StringBuilder sb = new StringBuilder(); private void Form1_Load(object sender, EventArgs e) { startupPath = Application.StartupPath; paddleConfig = PaddleConfig.FromModelDir(startupPath + "\\model\\"); string configYmlPath = startupPath + "\\model\\infer_cfg.yml"; d = new PaddleDetector(paddleConfig, configYmlPath, PaddleDevice.Mkldnn()); } private void button1_Click(object sender, EventArgs e) { OpenFileDialog ofd = new OpenFileDialog(); ofd.Filter = fileFilter; if (ofd.ShowDialog() != DialogResult.OK) return; pictureBox1.Image = null; img = ofd.FileName; bmp = new Bitmap(img); pictureBox1.Image = new Bitmap(img); textBox1.Text = ""; } private void button2_Click(object sender, EventArgs e) { if (img == "") { return; } sb.Clear(); Mat src = Cv2.ImRead(img); dt1 = DateTime.Now; DetectionResult[] r = d.Run(src); dt2 = DateTime.Now; Scalar scalar; for (int i = 0; i < r.Length; i++) { if (r[i].Confidence > confidence) { scalar = Scalar.RandomColor(); Cv2.Rectangle(src, r[i].Rect, scalar, 4, LineTypes.Link8, 0); Cv2.PutText(src, r[i].LabelName + "(" + r[i].Confidence + ")", new OpenCvSharp.Point(r[i].Rect.X + r[i].Rect.Width / 2, r[i].Rect.Y + r[i].Rect.Height / 2), HersheyFonts.HersheyComplex, fontScale, scalar, thickness, lineType, false); sb.AppendLine(string.Format("{0}({1}) ({2},{3},{4},{5})", r[i].LabelName , r[i].Confidence , r[i].Rect.Left , r[i].Rect.Top , r[i].Rect.Right , r[i].Rect.Bottom )); } } // 堆代码 duidaima.com sb.AppendLine("耗时:" + (dt2 - dt1).TotalMilliseconds + "ms"); textBox1.Text = sb.ToString(); pictureBox2.Image = BitmapConverter.ToBitmap(src); } } }