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);
}
}
/// <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)
{
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;
UMat filteredPlate = new UMat();
StringBuilder strBuilder = new StringBuilder();
CvInvoke.CvtColor(image, filteredPlate, ColorConversion.Bgr2Gray);
UMat uImg = (UMat)image;
words = _licensePlateDetector.DetectLicensePlate(
image,
licensePlateImagesList,
filteredLicensePlateImagesList,
licenseBoxList,
ocr_mode);
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))
{
if (!validWords.Contains(replacement))
{
validWords.Add(filteredLicence);
validLicencePlates.Add(licensePlateImagesList[w]);
}
}
}
}
ShowResults(image, validLicencePlates, filteredLicensePlateImagesList, licenseBoxList, validWords);
SetImageBitmap(uImg.Bitmap);
uImg.Dispose();
result = true;
return(result);
}
private LicensePlateModel ProcessImage(IInputOutputArray image)
{
LicensePlateModel licensePlateModel = new LicensePlateModel();
Stopwatch watch = Stopwatch.StartNew();
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();
licensePlateModel.Timer = watch.Elapsed.TotalMilliseconds.ToString();
licensePlateModel.GuantityPlateResult = words.Count;
Point startPoint = new Point(10, 10);
string numberLicense = string.Empty;
for (int i = 0; i < words.Count; i++)
{
numberLicense = words[i].Replace(" ", string.Empty);
numberLicense = new string(numberLicense.Where(c => !char.IsPunctuation(c)).ToArray());
Mat dest = new Mat();
CvInvoke.VConcat(licensePlateImagesList[i], filteredLicensePlateImagesList[i], dest);
BitmapSource bso = ToBitmapSource(dest);
licensePlateModel.ImageLicensePlate = bso;
PointF[] verticesF = licenseBoxList[i].GetVertices();
Point[] vertices = Array.ConvertAll(verticesF, Point.Round);
licensePlateModel.Points = vertices;
if (numberLicense.Length >= 8)
{
licensePlateModel.LicensePlate = numberLicense;
return(licensePlateModel);
}
}
return(licensePlateModel);
}
public UploadFile ProcessImage(IInputOutputArray image)
{
string path = AppContext.BaseDirectory;
string base64string = string.Empty;
UploadFile uploadFile = new UploadFile();
LicensePlateDetector _licensePlateDetector = new LicensePlateDetector(path);
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);
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);
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);
UMat mat = (UMat)filteredLicensePlateImagesList[i];
Image <Bgr, byte> LpImage = mat.ToImage <Bgr, byte>();
byte[] LpBytes = LpImage.ToJpegData();
uploadFile.RawData.Add(new RawData {
RawImage = "data:image/jpg;base64," + Convert.ToBase64String(LpBytes, 0, LpBytes.Length), Number = words[i]
});
}
using (Image <Bgr, byte> img = (Image <Bgr, byte>)image)
{
Byte[] bytes = img.ToJpegData();
base64string = "data:image/jpg;base64," + Convert.ToBase64String(bytes, 0, bytes.Length);
uploadFile.OutputFile = base64string;
}
return(uploadFile);
}
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>();
var found = new List <string>();
for (double rWidth = 1; rWidth < 12; rWidth += 0.2)
{
for (double rHeight = 1; rHeight < 12; rHeight += 0.2)
{
List <string> words1 = _licensePlateDetector.DetectLicensePlate(
image,
licensePlateImagesList,
filteredLicensePlateImagesList,
licenseBoxList, rWidth, rHeight);
if (words1.Any())
{
var f = $"FOUND: {rWidth}-{rHeight} = {string.Concat(words1)}";
found.Add(f);
Console.WriteLine(f);
}
else
{
//Console.WriteLine($"FAILED: {rWidth}-{rHeight}");
}
}
}
List <string> words = new List <string>();
//List<string> words = _licensePlateDetector.DetectLicensePlate(
// image,
// licensePlateImagesList,
// filteredLicensePlateImagesList,
// licenseBoxList, 6, 12);
watch.Stop(); //stop the timer
//processTimeLabel.Text = String.Format("License Plate Recognition time: {0} milli-seconds", watch.Elapsed.TotalMilliseconds);
//panel1.Controls.Clear();
System.Drawing.Point startPoint = new System.Drawing.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();
System.Drawing.Point[] vertices = Array.ConvertAll(verticesF, System.Drawing.Point.Round);
using (VectorOfPoint pts = new VectorOfPoint(vertices))
CvInvoke.Polylines(image, pts, true, new Bgr(System.Drawing.Color.Red).MCvScalar, 2);
}
}
/*
* private static void TesseractDownloadLangFile(String folder, String lang)
* {
* String subfolderName = "tessdata";
* String folderName = System.IO.Path.Combine(folder, subfolderName);
* if (!System.IO.Directory.Exists(folderName))
* {
* System.IO.Directory.CreateDirectory(folderName);
* }
* String dest = System.IO.Path.Combine(folderName, String.Format("{0}.traineddata", lang));
* if (!System.IO.File.Exists(dest))
* using (System.Net.WebClient webclient = new System.Net.WebClient())
* {
* String source =
* String.Format("https://github.com/tesseract-ocr/tessdata/blob/4592b8d453889181e01982d22328b5846765eaad/{0}.traineddata?raw=true", lang);
*
* Console.WriteLine(String.Format("Downloading file from '{0}' to '{1}'", source, dest));
* webclient.DownloadFile(source, dest);
* Console.WriteLine(String.Format("Download completed"));
* }
* }*/
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
{
String path = "tessdata";
messageElement.Value = String.Format("Checking Tesseract language data...");
try
{
LicensePlateDetector.TesseractDownloadLangFile(path, "eng");
LicensePlateDetector.TesseractDownloadLangFile(path, "osd");
}
catch (System.Net.WebException)
{
messageElement.Value =
String.Format(
"Failed to download Tesseract language file, please check internet connection.");
return;
}
catch (Exception e)
{
messageElement.Value = e.Message;
return;
}
messageElement.Value = String.Format("Checking Tesseract language data...");
using (Image <Bgr, Byte> image = new Image <Bgr, byte>("license-plate.jpg"))
{
LicensePlateDetector detector = new LicensePlateDetector(path);
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
});
}
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 <Image <Gray, Byte> > licensePlateImagesList = new List <Image <Gray, byte> >();
List <Image <Gray, Byte> > filteredLicensePlateImagesList = new List <Image <Gray, byte> >();
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 (Image <Bgr, byte> resized = image.Resize(frameSize.Width, frameSize.Height, Emgu.CV.CvEnum.Inter.Cubic, true))
{
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
});
}
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();
CvInvoke.Rectangle(image, rect, new Bgr(System.Drawing.Color.Red).MCvScalar, 2);
}
SetImageBitmap(image.ToBitmap());
image.Dispose();
};
OnButtonClick += delegate
{
PickImage("license-plate.jpg");
};
}
/*
* private static void TesseractDownloadLangFile(String folder, String lang)
* {
* String subfolderName = "tessdata";
* String folderName = System.IO.Path.Combine(folder, subfolderName);
* if (!System.IO.Directory.Exists(folderName))
* {
* System.IO.Directory.CreateDirectory(folderName);
* }
* String dest = System.IO.Path.Combine(folderName, String.Format("{0}.traineddata", lang));
* if (!System.IO.File.Exists(dest))
* using (System.Net.WebClient webclient = new System.Net.WebClient())
* {
* String source = Emgu.CV.OCR.Tesseract.GetLangFileUrl(lang);
*
* Console.WriteLine(String.Format("Downloading file from '{0}' to '{1}'", source, dest));
* webclient.DownloadFile(source, dest);
* Console.WriteLine(String.Format("Download completed"));
* }
* }*/
protected override void OnCreate(Bundle bundle)
{
base.OnCreate(bundle);
OnImagePicked += (sender, image) =>
{
if (image == null)
{
return;
}
String path = System.IO.Path.Combine(this.FilesDir.AbsolutePath, "tessdata");
try
{
SetProgressMessage("Checking Tesseract Lang files...");
LicensePlateDetector.TesseractDownloadLangFile(path, "eng");
LicensePlateDetector.TesseractDownloadLangFile(path, "osd");
SetProgressMessage("Please wait ...");
}
catch (System.Net.WebException e)
{
SetMessage("Unable to download tesseract language file from Internet, please check your Internet connection.");
Console.WriteLine(e);
return;
}
catch (Exception e)
{
SetMessage(e.ToString());
Console.WriteLine(e);
return;
}
LicensePlateDetector detector = new LicensePlateDetector(path + System.IO.Path.DirectorySeparatorChar);
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();
CvInvoke.Rectangle(image, rect, new Bgr(System.Drawing.Color.Red).MCvScalar, 2);
}
SetImageBitmap(image.ToBitmap());
image.Dispose();
};
OnButtonClick += delegate
{
PickImage("license-plate.jpg");
};
}
public void LicensePlateDetectorTest()
{
var objectTest = new LicensePlateDetector(@"D:\Downloads\LicencePlateRecognition\GUI-Prototype\testData\image002.png");
objectTest.DetectLicensePlate()
}
