private void ProcessImage(IInputOutputArray image) { Stopwatch watch = Stopwatch.StartNew(); // time the detection process List <IInputOutputArray> licensePlateImagesList = new List <IInputOutputArray>(); List <IInputOutputArray> filteredLicensePlateImagesList = new List <IInputOutputArray>(); List <RotatedRect> licenseBoxList = new List <RotatedRect>(); List <string> words = _licensePlateDetector.DetectLicensePlate( image, licensePlateImagesList, filteredLicensePlateImagesList, licenseBoxList); watch.Stop(); //stop the timer processTimeLabel.Text = String.Format("License Plate Recognition time: {0} milli-seconds", watch.Elapsed.TotalMilliseconds); panel1.Controls.Clear(); Point startPoint = new Point(10, 10); for (int i = 0; i < words.Count; i++) { Mat dest = new Mat(); CvInvoke.VConcat(licensePlateImagesList[i], filteredLicensePlateImagesList[i], dest); AddLabelAndImage( ref startPoint, String.Format("License: {0}", words[i]), dest); PointF[] verticesF = licenseBoxList[i].GetVertices(); Point[] vertices = Array.ConvertAll(verticesF, Point.Round); using (VectorOfPoint pts = new VectorOfPoint(vertices)) CvInvoke.Polylines(image, pts, true, new Bgr(Color.Red).MCvScalar, 2); } }
private void ProcessImage(Image <Bgr, byte> image) { Stopwatch watch = Stopwatch.StartNew(); // time the detection process List <Image <Gray, Byte> > licensePlateImagesList = new List <Image <Gray, byte> >(); List <Image <Gray, Byte> > filteredLicensePlateImagesList = new List <Image <Gray, byte> >(); List <MCvBox2D> licenseBoxList = new List <MCvBox2D>(); List <string> words = _licensePlateDetector.DetectLicensePlate( image, licensePlateImagesList, filteredLicensePlateImagesList, licenseBoxList); watch.Stop(); //stop the timer processTimeLabel.Text = String.Format("License Plate Recognition time: {0} milli-seconds", watch.Elapsed.TotalMilliseconds); panel1.Controls.Clear(); Point startPoint = new Point(10, 10); for (int i = 0; i < words.Count; i++) { AddLabelAndImage( ref startPoint, String.Format("License: {0}", words[i]), licensePlateImagesList[i].ConcateVertical(filteredLicensePlateImagesList[i])); image.Draw(licenseBoxList[i], new Bgr(Color.Red), 2); } imageBox1.Image = image; }
public override void ViewDidLoad() { base.ViewDidLoad(); RootElement root = Root; root.UnevenRows = true; UIImageView imageView = new UIImageView(View.Frame); StringElement messageElement = new StringElement(""); StringElement licenseElement = new StringElement(""); root.Add(new Section() { new StyledStringElement("Process", delegate { using (Image<Bgr, Byte> image = new Image<Bgr, byte>( "license-plate.jpg")) { LicensePlateDetector detector = new LicensePlateDetector("."); Stopwatch watch = Stopwatch.StartNew(); // time the detection process List<IInputOutputArray> licensePlateImagesList = new List<IInputOutputArray>(); List<IInputOutputArray> filteredLicensePlateImagesList = new List<IInputOutputArray>(); List<RotatedRect> licenseBoxList = new List<RotatedRect>(); List<string> words = detector.DetectLicensePlate( image, licensePlateImagesList, filteredLicensePlateImagesList, licenseBoxList); watch.Stop(); //stop the timer messageElement.Value = String.Format("{0} milli-seconds", watch.Elapsed.TotalMilliseconds); StringBuilder builder = new StringBuilder(); foreach (String w in words) builder.AppendFormat("{0} ", w); licenseElement.Value = builder.ToString(); messageElement.GetImmediateRootElement().Reload(messageElement, UITableViewRowAnimation.Automatic); licenseElement.GetImmediateRootElement().Reload(licenseElement, UITableViewRowAnimation.Automatic); foreach (RotatedRect box in licenseBoxList) { image.Draw(box, new Bgr(Color.Red), 2); } Size frameSize = FrameSize; using (Mat resized = new Mat()) { CvInvoke.ResizeForFrame(image, resized, frameSize); imageView.Image = resized.ToUIImage(); imageView.Frame = new RectangleF(PointF.Empty, resized.Size); } imageView.SetNeedsDisplay(); ReloadData(); } } )}); root.Add(new Section("Recognition Time") { messageElement }); root.Add(new Section("License Plate") { licenseElement }); root.Add(new Section() { imageView }); }
private static List <string> LicensePlateRecognitionInit() { _licensePlateDetector = new LicensePlateDetector(); var image = new Image <Bgr, byte>("license-plate.jpg"); // time the detection process Stopwatch watch = Stopwatch.StartNew(); var licensePlateImagesList = new List <Image <Gray, byte> >(); var filteredLicensePlateImagesList = new List <Image <Gray, byte> >(); var licenseBoxList = new List <MCvBox2D>(); var words = _licensePlateDetector.DetectLicensePlate( image, licensePlateImagesList, filteredLicensePlateImagesList, licenseBoxList); watch.Stop(); //stop the timer return(words); }
/// <summary> /// /// </summary> /// <param name="image"></param> /// <param name="ocr_mode"></param> /// <param name="count"></param> /// <param name="canny_thres">Canny threshold will take 3 values 20, 30, 40, 50</param> /// <returns></returns> private bool ProcessImage(IInputOutputArray image, int ocr_mode) { Stopwatch watch = Stopwatch.StartNew(); // time the detection process List <IInputOutputArray> licensePlateImagesList = new List <IInputOutputArray>(); List <IInputOutputArray> filteredLicensePlateImagesList = new List <IInputOutputArray>(); List <RotatedRect> licenseBoxList = new List <RotatedRect>(); List <string> words = new List <string>(); var result = false; bool validValue = false; UMat filteredPlate = new UMat(); StringBuilder strBuilder = new StringBuilder(); CvInvoke.CvtColor(img, filteredPlate, ColorConversion.Bgr2Gray); words = _licensePlateDetector.DetectLicensePlate( image, licensePlateImagesList, filteredLicensePlateImagesList, licenseBoxList, ocr_mode); if (ocr_mode == 3) { strBuilder = ComputerVisionOCR.GetText(filteredPlate); if (strBuilder != null) { words.Clear(); List <String> licenses = new List <String> { strBuilder.ToString() }; licenses.ForEach( x => { words.Add(x); }); } } var validWords = new List <string>(); var validLicencePlates = new List <IInputOutputArray>(); for (int w = 0; w < words.Count; w++) { string replacement2 = Regex.Replace(words[w], @"\t|\n|\r", ""); string replacement = Regex.Replace(replacement2, "[^0-9a-zA-Z]+", ""); if (replacement.Length >= 6 && replacement != null) { var filteredLicence = FilterLicenceSpain(replacement); if (!string.IsNullOrWhiteSpace(filteredLicence)) { validValue = true; if (!validWords.Contains(replacement)) { validWords.Add(filteredLicence); validLicencePlates.Add(licensePlateImagesList[w]); } } } } if (validValue) { ShowResults(image, watch, validLicencePlates, filteredLicensePlateImagesList, licenseBoxList, validWords); } else { ShowResults(image, watch, licensePlateImagesList, filteredLicensePlateImagesList, licenseBoxList, words); } result = true; return(result); }
protected override void OnCreate(Bundle bundle) { base.OnCreate(bundle); OnImagePicked += (sender, image) => { if (image == null) return; ISharedPreferences preference = PreferenceManager.GetDefaultSharedPreferences(ApplicationContext); String appVersion = PackageManager.GetPackageInfo(PackageName, Android.Content.PM.PackageInfoFlags.Activities).VersionName; if (!preference.Contains("tesseract-data-version") || !preference.GetString("tesseract-data-version", null).Equals(appVersion) || !preference.Contains("tesseract-data-path")) { AndroidFileAsset.OverwriteMethod overwriteMethod = AndroidFileAsset.OverwriteMethod.AlwaysOverwrite; FileInfo a8 = AndroidFileAsset.WritePermanantFileAsset(this, "tessdata/eng.traineddata", "tmp", overwriteMethod); FileInfo a0 = AndroidFileAsset.WritePermanantFileAsset(this, "tessdata/eng.cube.bigrams", "tmp", overwriteMethod); FileInfo a1 = AndroidFileAsset.WritePermanantFileAsset(this, "tessdata/eng.cube.fold", "tmp", overwriteMethod); FileInfo a2 = AndroidFileAsset.WritePermanantFileAsset(this, "tessdata/eng.cube.lm", "tmp", overwriteMethod); FileInfo a3 = AndroidFileAsset.WritePermanantFileAsset(this, "tessdata/eng.cube.nn", "tmp", overwriteMethod); FileInfo a4 = AndroidFileAsset.WritePermanantFileAsset(this, "tessdata/eng.cube.params", "tmp", overwriteMethod); FileInfo a5 = AndroidFileAsset.WritePermanantFileAsset(this, "tessdata/eng.cube.size", "tmp", overwriteMethod); FileInfo a6 = AndroidFileAsset.WritePermanantFileAsset(this, "tessdata/eng.cube.word-freq", "tmp", overwriteMethod); FileInfo a7 = AndroidFileAsset.WritePermanantFileAsset(this, "tessdata/eng.tesseract_cube.nn", "tmp", overwriteMethod); //save tesseract data path ISharedPreferencesEditor editor = preference.Edit(); editor.PutString("tesseract-data-version", appVersion); editor.PutString("tesseract-data-path", System.IO.Path.Combine(a0.DirectoryName, "..") + System.IO.Path.DirectorySeparatorChar); editor.Commit(); } LicensePlateDetector detector = new LicensePlateDetector(preference.GetString("tesseract-data-path", null)); Stopwatch watch = Stopwatch.StartNew(); // time the detection process List<IInputOutputArray> licensePlateImagesList = new List<IInputOutputArray>(); List<IInputOutputArray> filteredLicensePlateImagesList = new List<IInputOutputArray>(); List<RotatedRect> licenseBoxList = new List<RotatedRect>(); List<string> words = detector.DetectLicensePlate( image, licensePlateImagesList, filteredLicensePlateImagesList, licenseBoxList); watch.Stop(); //stop the timer StringBuilder builder = new StringBuilder(); builder.Append(String.Format("{0} milli-seconds. ", watch.Elapsed.TotalMilliseconds)); foreach (String w in words) builder.AppendFormat("{0} ", w); SetMessage(builder.ToString()); foreach (RotatedRect box in licenseBoxList) { Rectangle rect = box.MinAreaRect(); image.Draw(rect, new Bgr(System.Drawing.Color.Red), 2); } SetImageBitmap(image.ToBitmap()); image.Dispose(); }; OnButtonClick += delegate { PickImage("license-plate.jpg"); }; }