public TesseractApi (Context context)
{
_context = context;
_progressHandler.Progress += (sender, e) => {
OnProgress (e.Progress);
};
_api = new TessBaseAPI (_progressHandler);
}
public TesseractApi (Context context, AssetsDeployment assetsDeployment)
{
_assetsDeployment = assetsDeployment;
_context = context;
_progressHandler.Progress += (sender, e) => {
OnProgress (e.Progress);
};
_api = new TessBaseAPI (_progressHandler);
}
// Grab text from image
private string GetText(TessBaseAPI tessBaseAPI, int partX, int partY)
{
// These can change depending on resolution, HUD scaling, or UI changes
// For now, only supports 1440p with full HUD scaling
// TODO: Dynamic scaling
const int BOXWIDTH = 311;
const int BOXHEIGHT = 33;
// Set image location start
tessBaseAPI.SetRectangle(partX, partY, BOXWIDTH, BOXHEIGHT);
// Recognize image
tessBaseAPI.Recognize();
ResultIterator resultIterator = tessBaseAPI.GetIterator();
// Extract text from result iterator
StringBuilder stringBuilder = new StringBuilder();
PageIteratorLevel pageIteratorLevel = PageIteratorLevel.RIL_PARA;
do
{
stringBuilder.Append(resultIterator.GetUTF8Text(pageIteratorLevel));
} while (resultIterator.Next(pageIteratorLevel));
// Fix up string for Warframe.market
stringBuilder = stringBuilder.Replace("\n", String.Empty);
string guess = stringBuilder.ToString();
// Changed to use Levenshtein here due to important of having a matching "Blueprint" word
Levenshtein levBP = new Fastenshtein.Levenshtein("Blueprint");
int levBPDistance = levBP.DistanceFrom(guess);
Debug.WriteLine("Distance from Blueprint: " + levBPDistance);
// If there is a 4-character difference, accept the word is == "Blueprint"
// Adjust the offset for 2-lined parts
if (levBPDistance < 5)
{
guess = GetText(tessBaseAPI, partX, 550);
}
// Match whatever result we get to the closest selling item name from Warframe.market
// We want to ignore "Blueprint" because this indicates that it's a 2-lined item
if (guess != "Blueprint" && !guess.Contains("Forma"))
{
Debug.Write("");
Debug.Write("Old: " + guess);
guess = FindClosestWord(guess);
Debug.WriteLine(" | New: " + guess);
}
return(guess);
}
public static void Main(string[] args)
{
Tesseract.Native.DllImports.TesseractDirectory = @"C:\Test\tesseract";
TessBaseAPI tessBaseAPI = new TessBaseAPI();
System.Console.WriteLine("The current version is {0}", tessBaseAPI.GetVersion());
System.Console.WriteLine("Press any key to quit...");
System.Console.ReadKey();
}
public TesseractApi2()
{
Context context = Android.App.Application.Context;
AssetsDeployment assetsDeployment = default;
_assetsDeployment = assetsDeployment;
_context = context;
_progressHandler.Progress += (sender, e) => {
OnProgress(e.Progress);
};
_api = new TessBaseAPI(_progressHandler);
}
static void Main(string[] args)
{
string language = @"eng";
using (var api = new TessBaseAPI(tessdata, language))
{
api.Process(image);
string text = api.GetUTF8Text();
}
Console.WriteLine("Done...");
Console.ReadKey();
}
public static string OcrProcess(string image, string language = "eng")
{
//training data
string tessdataPath = ConfigurationManager.AppSettings["TessdataPath"];
string text;
TessBaseAPI tEngine = new TessBaseAPI(tessdataPath, language, OcrEngineMode.DEFAULT);
tEngine.Process(image);
text = tEngine.GetUTF8Text().ToString();
tEngine.Clear();
tEngine.Dispose();
return(text);
}
private List <string> run_tessract()
{
List <string> re = new List <string>();
string dataPath = "./tessdata/";
string language = 1 != 1 ? "eng" : "jpn";
string inputFile = "./_tmp.bmp";
OcrEngineMode oem = OcrEngineMode.DEFAULT;
PageSegmentationMode psm = PageSegmentationMode.AUTO_OSD;
TessBaseAPI tessBaseAPI = new TessBaseAPI();
// Initialize tesseract-ocr
if (!tessBaseAPI.Init(dataPath, language, oem))
{
throw new Exception("Could not initialize tesseract.");
}
// Set the Page Segmentation mode
tessBaseAPI.SetPageSegMode(psm);
// Set the input image
Pix pix = tessBaseAPI.SetImage(inputFile);
tessBaseAPI.SetVariable("number", "1234567890");
// Recognize image
tessBaseAPI.Recognize();
ResultIterator resultIterator = tessBaseAPI.GetIterator();
// extract text from result iterator
StringBuilder stringBuilder = new StringBuilder();
PageIteratorLevel pageIteratorLevel = PageIteratorLevel.RIL_PARA;
do
{
string str = resultIterator.GetUTF8Text(pageIteratorLevel);
if (str != null)
{
str = Regex.Replace(str, @"\n", "\r\n");
re.Add(str);
}
} while (resultIterator.Next(pageIteratorLevel));
tessBaseAPI.Dispose();
pix.Dispose();
return(re);
}
public TesseractOCR(Profile profile, params Type[] clients) : base(profile, clients)
{
try
{
TesseractImage = new TessBaseAPI();
Info("Tesseract library version is {0}.", TesseractImage.GetVersion());
Status = ApiStatus.Initializing;
}
catch (Exception e)
{
Error(e, "Could not load tesseract.net library.");
Status = ApiStatus.LibraryError;
}
}
public void GetText(Bitmap bitmap = null)
{
TessBaseAPI api = new TessBaseAPI();
bool result = api.Init("/storage/emulated/0/DCIM/Facebook", "por");
BitmapFactory.Options options = new BitmapFactory.Options();
options.InSampleSize = 4;
Bitmap bit = BitmapFactory.DecodeFile("/storage/emulated/0/DCIM/Facebook/joao.jpg");
api.SetImage(bit);
String recognizedText = api.UTF8Text;
txtView.Text = recognizedText;
api.End();
}
private int RunTesseract(Mat img)
{
int conf = 0;
using (TessBaseAPI engine = new TessBaseAPI(@".\tessdata", _lang, OcrEngineMode.TESSERACT_LSTM_COMBINED))
{
engine.InitForAnalysePage();
engine.Init(null, _lang);
engine.SetImage(new UIntPtr(BitConverter.ToUInt64(BitConverter.GetBytes(img.Data.ToInt64()), 0)), img.Size().Width, img.Size().Height, img.Channels(), (int)img.Step1());
engine.Recognize();
ResultIterator iterator = engine.GetIterator();
IterateFullPage(iterator, ref _textLines);
iterator.Dispose();
conf = engine.MeanTextConf;
}
return(conf);
}
static void example1()
{
string dataPath = "./tessdata/";
string language = "eng";
OcrEngineMode oem = OcrEngineMode.DEFAULT;
PageSegmentationMode psm = PageSegmentationMode.AUTO_OSD;
TessBaseAPI tessBaseAPI = new TessBaseAPI();
// Initialize tesseract-ocr
if (!tessBaseAPI.Init(dataPath, language, oem))
{
throw new Exception("Could not initialize tesseract.");
}
// Set the Page Segmentation mode
tessBaseAPI.SetPageSegMode(psm);
}
static void example4()
{
string dataPath = "./tessdata/";
string language = "eng";
string inputFile = "./input.png";
OcrEngineMode oem = OcrEngineMode.DEFAULT;
PageSegmentationMode psm = PageSegmentationMode.AUTO_OSD;
TessBaseAPI tessBaseAPI = new TessBaseAPI();
// Initialize tesseract-ocr
if (!tessBaseAPI.Init(dataPath, language, oem))
{
throw new Exception("Could not initialize tesseract.");
}
// Set the Page Segmentation mode
tessBaseAPI.SetPageSegMode(psm);
// Set the input image
Pix pix = tessBaseAPI.SetImage(inputFile);
// Recognize image
tessBaseAPI.Recognize();
//ensure input name is set
tessBaseAPI.SetInputName(inputFile);
var fileInfo = new System.IO.FileInfo(inputFile);
string tessDataPath = tessBaseAPI.GetDatapath();
string outputName = fileInfo.FullName.Replace(fileInfo.Extension, string.Empty); //input name.pdf
// call pdf renderer and export pdf
using (var pdfRenderer = new PdfRenderer(outputName, tessDataPath, false))
{
pdfRenderer.BeginDocument("tesseract.net searchable Pdf generation");
pdfRenderer.AddImage(tessBaseAPI);
pdfRenderer.EndDocument();
}
tessBaseAPI.Dispose();
pix.Dispose();
}
private void ConvertImageToText()
{
try{
string dataPath = "./tessdata";
string language = "eng";
string inputFile = "./imageSaved.bmp";
OcrEngineMode oem = OcrEngineMode.DEFAULT;
PageSegmentationMode psm = PageSegmentationMode.AUTO_OSD;
TessBaseAPI tessBaseAPI = new TessBaseAPI();
if (!tessBaseAPI.Init(dataPath, language, oem))
{
throw new Exception("Could not initialize tesseract.");
}
// Set the Page Segmentation mode
tessBaseAPI.SetPageSegMode(psm);
// Set the input image
tessBaseAPI.SetImage(inputFile);
// Recognize image
tessBaseAPI.Recognize();
ResultIterator resultIterator = tessBaseAPI.GetIterator();
// Extract text from result iterator
StringBuilder stringBuilder = new StringBuilder();
PageIteratorLevel pageIteratorLevel = PageIteratorLevel.RIL_WORD;// RIL_PARA;
do
{
stringBuilder.Append(resultIterator.GetUTF8Text(pageIteratorLevel) + " ");
} while (resultIterator.Next(pageIteratorLevel));
tessBaseAPI.Dispose();
textParsed = stringBuilder.ToString().Trim();
//textParsedBox.Text = stringBuilder.ToString().Trim();
} catch (Exception ex) {
MessageBox.Show(ex.Message);
}
}
async void TakePhotoButtonTapped(object sender, EventArgs e)
{
camera.StopPreview();
var image = textureView.Bitmap;
image = Android.Graphics.Bitmap.CreateBitmap(image, (int)OCR_Rectangle.GetX(), (int)OCR_Rectangle.GetY(), 600, 200);
image = ToGrayScale(image);
try
{
var absolutePath = Android.OS.Environment.GetExternalStoragePublicDirectory(Android.OS.Environment.DirectoryDcim).AbsolutePath;
var folderPath = absolutePath + "/Camera";
filePath = System.IO.Path.Combine(folderPath, string.Format("photo_{0}.jpg", Guid.NewGuid()));
String recognizedText = "???";
TessBaseAPI baseApi = new TessBaseAPI();
baseApi.Init(absolutePath, "eng");
baseApi.SetImage(image);
recognizedText = baseApi.UTF8Text;
OCR_textView.Text = "OCR :" + recognizedText;
var fileStream = new FileStream(filePath, FileMode.Create);
await image.CompressAsync(Android.Graphics.Bitmap.CompressFormat.Jpeg, 50, fileStream);
fileStream.Close();
image.Recycle();
var intent = new Android.Content.Intent(Android.Content.Intent.ActionMediaScannerScanFile);
var file = new Java.IO.File(filePath);
var uri = Android.Net.Uri.FromFile(file);
intent.SetData(uri);
MainActivity.Instance.SendBroadcast(intent);
}
catch (Exception ex)
{
System.Diagnostics.Debug.WriteLine(@" ", ex.Message);
}
camera.StartPreview();
}
static void example3()
{
string dataPath = "./tessdata/";
string language = "eng";
string inputFile = "./input.png";
OcrEngineMode oem = OcrEngineMode.DEFAULT;
PageSegmentationMode psm = PageSegmentationMode.AUTO_OSD;
TessBaseAPI tessBaseAPI = new TessBaseAPI();
// Initialize tesseract-ocr
if (!tessBaseAPI.Init(dataPath, language, oem))
{
throw new Exception("Could not initialize tesseract.");
}
// Set the Page Segmentation mode
tessBaseAPI.SetPageSegMode(psm);
// Set the input image
Pix pix = tessBaseAPI.SetImage(inputFile);
// Recognize image
tessBaseAPI.Recognize();
ResultIterator resultIterator = tessBaseAPI.GetIterator();
// extract text from result iterator
StringBuilder stringBuilder = new StringBuilder();
PageIteratorLevel pageIteratorLevel = PageIteratorLevel.RIL_PARA;
do
{
stringBuilder.Append(resultIterator.GetUTF8Text(pageIteratorLevel));
} while (resultIterator.Next(pageIteratorLevel));
tessBaseAPI.Dispose();
pix.Dispose();
}
//public static void clearFaceFlag() { faceFlag = 0; }
public string RecognizeText(int id)
{
DBService dbs = new DBService();
Document doc = dbs.FindDocumentById(id);
Image <Gray, Byte> img = scale(doc);
//var image = PixConverter.ToPix(img.ToBitmap()))
Tesseract.Native.DllImports.TesseractDirectory = System.Web.HttpContext.Current.Server.MapPath("~/Tesseract/bin/Debug/DLLS/");
TessBaseAPI tessBaseAPI = new TessBaseAPI();
System.Diagnostics.Debug.WriteLine("The current version is {0}", tessBaseAPI.GetVersion());
string dataPath = System.Web.HttpContext.Current.Server.MapPath("~/tessdata/");
string language = "eng";
string inputFile = doc.Path;
OcrEngineMode oem = OcrEngineMode.DEFAULT;
//OcrEngineMode oem = OcrEngineMode.DEFAULT;
PageSegmentationMode psm = PageSegmentationMode.AUTO_OSD;
// Initialize tesseract-ocr
if (!tessBaseAPI.Init(dataPath, language, oem))
{
throw new Exception("Could not initialize tesseract.");
}
// Set the Page Segmentation mode
tessBaseAPI.SetPageSegMode(psm);
// Set the input image
Pix pix = tessBaseAPI.SetImage(inputFile);
// Recognize image
tessBaseAPI.Recognize();
ResultIterator resultIterator = tessBaseAPI.GetIterator();
// extract text from result iterator
StringBuilder stringBuilder = new StringBuilder();
int top, bottom, left, right, i = 0;
List <OCRText> forJson = new List <OCRText>();
PageIteratorLevel pageIteratorLevel = PageIteratorLevel.RIL_TEXTLINE;
do
{
string textContent = resultIterator.GetUTF8Text(pageIteratorLevel);
resultIterator.BoundingBox(pageIteratorLevel, out left, out top, out right, out bottom);
string coordsString = "" + left + "," + top + "," + right + "," + bottom;
forJson.Add(new OCRText()
{
Coords = coordsString, Text = textContent
});
} while (resultIterator.Next(pageIteratorLevel));
tessBaseAPI.Dispose();
pix.Dispose();
var textForReturn = JsonConvert.SerializeObject(forJson);
dbs.UpdateDocument(textForReturn, id);
if (HasFace(img) == true)
{
FaceFlag = 1;
}
else
{
FaceFlag = 0;
}
return(textForReturn);
}
public void /*Image*/ GetTextFromImage(IWebElement element, string uniqueName)
{
Screenshot screenshot = ((ITakesScreenshot)Driver).GetScreenshot();
string pth = Assembly.GetCallingAssembly().CodeBase;
string finalpth = pth.Substring(0, pth.LastIndexOf("bin")) + "Screenshots/" + uniqueName + ".jpeg";
string localpath = new Uri(finalpth).LocalPath;
screenshot.SaveAsFile(localpath, ScreenshotImageFormat.Jpeg);
Image img = Image.FromFile(localpath /*uniqueName*/);
Rectangle rect = new Rectangle();
if (element != null)
{
// Get the Width and Height of the WebElement using
int width = element.Size.Width;
int height = element.Size.Height;
// Get the Location of WebElement in a Point.
// This will provide X & Y co-ordinates of the WebElement
Point p = element.Location;
// Create a rectangle using Width, Height and element location
rect = new Rectangle(p.X, p.Y, width, height);
}
//croping the image based on rect.
Bitmap bmpImage = new Bitmap(img);
var cropedImag = bmpImage.Clone(rect, bmpImage.PixelFormat);
string dataPath = @"C:\Betsold\AutomationTesting\Tests\testdata\";
string language = "eng";
string imgPath = @"C:\Betsold\AutomationTesting\Tests\Screenshots\logo-test.jpeg";
OcrEngineMode oem = OcrEngineMode.LSTM_ONLY;
PageSegmentationMode psm = PageSegmentationMode.AUTO;
TessBaseAPI tessBaseAPI = new TessBaseAPI(dataPath, language, oem, psm);
// Set the input image
tessBaseAPI.SetImage(imgPath);
var processedImage = tessBaseAPI.GetThresholdedImage();
processedImage.Write(@"C:\Users\ibozhinovski\Desktop\", ImageFileFormatTypes.IFF_JFIF_JPEG);
// Recognize image
tessBaseAPI.Recognize();
ResultIterator resultIterator = tessBaseAPI.GetIterator();
// Extract text from result iterator
StringBuilder text = new StringBuilder();
PageIteratorLevel pageIteratorLevel = PageIteratorLevel.RIL_PARA;
do
{
text.Append(resultIterator.GetUTF8Text(pageIteratorLevel));
} while (resultIterator.Next(pageIteratorLevel));
tessBaseAPI.Dispose();
Console.Read();
/*
* // croping the image based on rect.
* Bitmap bmpImage = new Bitmap(img);
* var cropedImag = bmpImage.Clone(rect, bmpImage.PixelFormat);
*
* var ocr = new TesseractEngine("./testdata", "eng");
*
* var page = ocr.Process(cropedImag);
*
* var result = page.GetText();
*
* Console.WriteLine(result);
*/
}
public void TestInitialise()
{
api = new TessBaseAPI(tessdata, language);
}
private void StartTrans()
{
string randomFileName = System.IO.Directory.GetCurrentDirectory() + "/captureImg.png";
CaptureImage(randomFileName);
string dataPath = System.IO.Directory.GetCurrentDirectory();
string language = @"eng";
if (languageType == 0)
{
language = @"eng";
}
else if (languageType == 1)
{
language = @"jpn";
}
string textPicked;
using (var api = new TessBaseAPI(dataPath, language))
{
api.Process(randomFileName, true);
textPicked = api.GetUTF8Text();
}
if (textPicked != "")
{
string url = "https://openapi.naver.com/v1/papago/n2mt";
string query = textPicked;
byte[] byteDataParams = Encoding.UTF8.GetBytes("source=en&target=ko&text=" + query);
if (languageType == 0)
{
url = "https://openapi.naver.com/v1/papago/n2mt";
byteDataParams = Encoding.UTF8.GetBytes("source=en&target=ko&text=" + query);
}
else if (languageType == 1)
{
url = "https://openapi.naver.com/v1/language/translate";
byteDataParams = Encoding.UTF8.GetBytes("source=ja&target=ko&text=" + query);
}
HttpWebRequest request = (HttpWebRequest)WebRequest.Create(url);
request.Headers.Add("X-Naver-Client-Id", "API KEY"); //API KEY
request.Headers.Add("X-Naver-Client-Secret", "Secret Key"); //Sectret KEY
request.Method = "POST";
request.ContentType = "application/x-www-form-urlencoded";
request.ContentLength = byteDataParams.Length;
Stream st = request.GetRequestStream();
st.Write(byteDataParams, 0, byteDataParams.Length);
st.Close();
try
{
HttpWebResponse response = (HttpWebResponse)request.GetResponse();
Stream stream = response.GetResponseStream();
StreamReader reader = new StreamReader(stream, Encoding.UTF8);
string textTrans = reader.ReadToEnd();
stream.Close();
response.Close();
reader.Close();
JObject jo = JObject.Parse(textTrans);
JToken idToken = jo["message"]["result"]["translatedText"];
String realText = (String)idToken;
translatedText.Location = new Point(rectSourceX, rectDestY);
translatedText.Text = realText;
translatedText.Visible = true;
}
catch
{
translatedText.Visible = true;
translatedText.Location = new Point(rectSourceX, rectDestY);
translatedText.Text = "번역할 언어가 없습니다. 다시 선택하세요-번역 에러";
}
}
else
{
translatedText.Visible = true;
translatedText.Location = new Point(rectSourceX, rectDestY);
translatedText.Text = "번역할 언어가 없습니다. 다시 선택하세요-인식 에러";
}
}
public void GetVersionTest()
{
TessBaseAPI tessBaseAPI = new TessBaseAPI();
Assert.AreEqual("4.00.00alpha", tessBaseAPI.GetVersion());
}
public new void KeyDown(KeyboardHookEventArgs e)
{
// Use Singleton design to store location information
PartLocation currentLocation = PartLocation._instance;
// Print Screen key was pressed
if (e.Key == Keys.PrintScreen)
{
// Grab image from screen and convert to black and white using a threshold
PrintScreenThreshold();
// Process text from image
try
{
string dataPath = @"./tessdata";
string language = "eng";
string inputFile = "rewards.jpg";
OcrEngineMode oem = OcrEngineMode.DEFAULT;
PageSegmentationMode psm = PageSegmentationMode.SINGLE_LINE;
TessBaseAPI tessBaseAPI = new TessBaseAPI();
// Initialize tesseract-ocr
if (!tessBaseAPI.Init(dataPath, language, oem))
{
throw new Exception("Could not initialize tesseract");
}
// Set the Page Segmentation mode
tessBaseAPI.SetPageSegMode(psm);
// Warframe Relics are displayed using A-Z, a-z, and &
tessBaseAPI.SetVariable("tessedit_char_whitelist", "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz&");
// Set input file
Pix pix = tessBaseAPI.SetImage(inputFile);
TB_Part1.Text = GetText(tessBaseAPI, currentLocation.PartLoc1, 580);
TB_Part2.Text = GetText(tessBaseAPI, currentLocation.PartLoc2, 580);
if (currentLocation.NumPeople >= 3)
{
TB_Part3.Text = GetText(tessBaseAPI, currentLocation.PartLoc3, 580);
}
if (currentLocation.NumPeople == 4)
{
TB_Part4.Text = GetText(tessBaseAPI, currentLocation.PartLoc4, 580);
}
tessBaseAPI.Dispose();
pix.Dispose();
// Grab latest order list for parts
// TODO: Try multiple threads! If that's too fast, cache prices for a duration
using (var client = new WebClient())
{
GetPriceJson(client, TB_Part1, TB_Plat1);
GetPriceJson(client, TB_Part2, TB_Plat2);
if (currentLocation.NumPeople >= 3)
{
GetPriceJson(client, TB_Part3, TB_Plat3);
}
if (currentLocation.NumPeople == 4)
{
GetPriceJson(client, TB_Part4, TB_Plat4);
}
// These get cached
GetDucatsJson(client, TB_Part1, TB_Ducats1);
GetDucatsJson(client, TB_Part2, TB_Ducats2);
if (currentLocation.NumPeople >= 3)
{
GetDucatsJson(client, TB_Part3, TB_Ducats3);
}
if (currentLocation.NumPeople == 4)
{
GetDucatsJson(client, TB_Part4, TB_Ducats4);
}
}
List <PartWorth> sortPartWorth = new List <PartWorth>();
sortPartWorth.Add(new PartWorth(TB_Part1, TB_Ducats1));
sortPartWorth.Add(new PartWorth(TB_Part2, TB_Ducats2));
if (currentLocation.NumPeople >= 3)
{
sortPartWorth.Add(new PartWorth(TB_Part3, TB_Ducats3));
}
if (currentLocation.NumPeople == 4)
{
sortPartWorth.Add(new PartWorth(TB_Part4, TB_Ducats4));
}
// Sort by Plat, then Ducats
sortPartWorth = sortPartWorth.OrderByDescending(o => Int32.Parse(o.platinum.Tag.ToString())).ThenByDescending(o => Int32.Parse(o.ducats.Tag.ToString())).ToList();
// If max Plat is low, sort by the reverse
if (Int32.Parse(sortPartWorth[0].platinum.Tag.ToString()) < 15)
{
sortPartWorth = sortPartWorth.OrderByDescending(o => Int32.Parse(o.ducats.Tag.ToString())).ThenByDescending(o => Int32.Parse(o.platinum.Tag.ToString())).ToList();
}
// Show best option
TB_Pick.Text = sortPartWorth[0].platinum.Text;
// Show current amount of Plat (and Ducats) made in the current session
if (Int32.Parse(sortPartWorth[0].platinum.Tag.ToString()) != -1)
{
//GlobalVar.PLAT += Int32.Parse(platDuc[0].plat.Tag.ToString());
LB_Plat.Tag = Int32.Parse(LB_Plat.Tag.ToString()) + Int32.Parse(sortPartWorth[0].platinum.Tag.ToString());
}
if (Int32.Parse(sortPartWorth[0].ducats.Tag.ToString()) != -1)
{
//GlobalVar.DUCATS += Int32.Parse(platDuc[0].ducats.Tag.ToString());
LB_Ducs.Tag = Int32.Parse(LB_Ducs.Tag.ToString()) + Int32.Parse(sortPartWorth[0].ducats.Tag.ToString());
}
LB_Plat.Text = LB_Plat.Tag.ToString() + " p";
LB_Ducs.Text = LB_Ducs.Tag.ToString() + " d";
}
catch (Exception ex)
{
LogError("KeyDown: " + ex.Message);
}
}
else if (e.Key == Keys.NumPad2)
{
Debug.WriteLine("Switched to 2 people");
ClearBox();
VisibleRow(false, LB_Part3, TB_Part3, TB_Plat3, TB_Ducats3);
VisibleRow(false, LB_Part4, TB_Part4, TB_Plat4, TB_Ducats4);
currentLocation.SetPeople2();
}
else if (e.Key == Keys.NumPad3)
{
Debug.WriteLine("Switched to 3 people");
ClearBox();
VisibleRow(true, LB_Part3, TB_Part3, TB_Plat3, TB_Ducats3);
VisibleRow(false, LB_Part4, TB_Part4, TB_Plat4, TB_Ducats4);
currentLocation.SetPeople3();
}
else if (e.Key == Keys.NumPad4)
{
Debug.WriteLine("Switched to 4 people");
ClearBox();
VisibleRow(true, LB_Part3, TB_Part3, TB_Plat3, TB_Ducats3);
VisibleRow(true, LB_Part4, TB_Part4, TB_Plat4, TB_Ducats4);
currentLocation.SetPeople4();
}
else if (e.Key == Keys.Pause)
{
Environment.Exit(0);
}
}
public void Dispose ()
{
if (_api != null) {
_api.Dispose ();
_api = null;
}
}
public void OnProgressValues (TessBaseAPI.ProgressValues progress)
{
OnProgress (progress.Percent);
}
