public List <ImageRepresentation> RecognizeImage(List <ImageRepresentation> Images)
{
Model MnistModel = new Model(ModelPath: Directory.GetParent(Directory.GetCurrentDirectory()).Parent.FullName + "\\Backend\\RecognitionModel\\mnist-8.onnx");
Parallelizer <ImageRepresentation, ImageRepresentation> ModelParallelizer = new Parallelizer <ImageRepresentation, ImageRepresentation>(MnistModel, UseServer: true);
List <ImageRepresentation> result = ModelParallelizer.Run(Images);
return(result);
}
static int Main(string[] args)
{
Model MnistModel = new Model();
Parallelizer <ImageRepresentation, ImageRepresentation> ModelParallelizer = new Parallelizer <ImageRepresentation, ImageRepresentation>(MnistModel);
ModelParallelizer.OutputEvent += ConsoleOutput;
string[] Files = null;
try
{
Files = Directory.GetFiles(args.FirstOrDefault() ?? "images", "*.*").Where(s => s.EndsWith(".bmp") || s.EndsWith(".jpg") ||
s.EndsWith(".png") || s.EndsWith(".jpeg")).ToArray();
// 0 images found after LINQ filtering
if (Files == null)
{
throw new ArgumentNullException("Files == NULL");
}
if (Files.Length == 0)
{
throw new Exception("There is no images in the directory");
}
}
catch (Exception ex)
{
Console.WriteLine("Wrong input" + ex.Message);
}
List <ImageRepresentation> Images = new List <ImageRepresentation>();
foreach (string FilePath in Files)
{
byte[] ByteImage = File.ReadAllBytes(FilePath);
Images.Add(new ImageRepresentation {
ImageName = FilePath, Base64Image = Convert.ToBase64String(ByteImage)
});
}
ModelParallelizer.Run(Images);
return(0);
}
