static async Task Main(string[] args)
{
var recognizer = new ReceiptRecognizer(new EmguLargestAreaRecognizer(), new TesseractRecognizer());
var image = Image.FromFile(@"C:\Users\aleks\Desktop\test\setOfImages\IMG_20201228_180236x.jpg");
var transaction = await recognizer.Recognize(image);
Console.WriteLine(transaction.ConvertToString());
//await TestReco();
}
static async Task TestReco()
{
var workingDirectory = new DirectoryInfo(@"C:\Users\aleks\Desktop\test\setOfImages");
using var recognizer = new ReceiptRecognizer(new EmguLargestAreaRecognizer(), new TesseractRecognizer());
var csvText = "";
var width = 1000;
foreach (var imageFile in workingDirectory.GetFiles("*x.jpg"))
{
csvText += imageFile.Name + ";";
var stopWatch = new Stopwatch();
stopWatch.Start();
using var image = Image.FromFile(imageFile.FullName);
var fileName = new string(imageFile.FullName.TakeWhile(c => !c.Equals('.')).ToArray());
Console.WriteLine(fileName);
var resized = recognizer.GetResizedImage(image, width);
var cropped = await recognizer.GetCroppedImage(resized);
//resized.Save(fileName + ".min.jpg");
//cropped.Save(fileName + ".crop.jpg");
csvText += cropped.Width + ";" + cropped.Height + ";";
// Text recognition
var page = await recognizer.ReadImage(cropped);
//Console.WriteLine($"Mean confidence: {page.GetMeanConfidence()}");
csvText += page.GetMeanConfidence() + ";";
//Console.WriteLine($"BEGIN TEXT;\n{page.GetText()}\nEND OF TEXT;");
var receiptText = new string(page.GetText());
page.Dispose();
var transaction = recognizer.TextToTransaction(receiptText);
File.WriteAllText(imageFile.FullName + ".txt", receiptText, Encoding.UTF8);
//Console.WriteLine(transaction.ConvertToString());
//Console.WriteLine($" >>> Recognition time: {stopWatch.Elapsed}");
csvText += transaction.ConvertToCsvRow() + ";";
csvText += stopWatch.Elapsed + ";";
csvText += stopWatch.Elapsed.TotalMilliseconds + "\n";
}
File.WriteAllText(workingDirectory.FullName + @"\results" + width + ".csv", csvText, Encoding.UTF8);
}
