private void RecognitionOutput(IRecognitionResult result, string imageName)
{
dataGridViewResult.DataSource = result.Items;
picBx.Image = result.DrawBorder2Image();
imageLogger = new ImageLogger(result, imageName);
imageLogger.Save($@"Results/{imageName}.json");
}
public static void SaveToJson(this IRecognitionResult result, string path, string imageName)
{
var index = 0;
foreach (var item in result.Items)
{
var xc = item.X;
var yc = item.Y;
var w = item.Width;
var h = item.Height;
var jsonObject = new RecognitionResultJsonObject
{
ImageName = imageName,
Team = Constants.TeamName,
Region = new Region
{
Main = new Main
{
TopLeft = new int[] { xc - w / 2, yc + h / 2 }.ToList(),
BotRight = new int[] { xc + w / 2, yc - h / 2 }.ToList(),
},
Alternative = new Alternative
{
Center = new int[] { xc, yc }.ToList(),
Height = h,
Width = w,
},
EachPoint = new EachPoint[]
{
new EachPoint
{
Comment = "top-left, (x; y)",
Point = new int[] { xc - w / 2, yc + h / 2 }.ToList(),
},
new EachPoint
{
Comment = "top-right, (x; y)",
Point = new int[] { xc + w / 2, yc + h / 2 }.ToList(),
},
new EachPoint
{
Comment = "bottom-right, (x; y)",
Point = new int[] { xc + w / 2, yc - h / 2 }.ToList(),
},
new EachPoint
{
Comment = "bottom-left, (x; y)",
Point = new int[] { xc - w / 2, yc - h / 2 }.ToList(),
},
}.ToList()
}
};
Save(path, imageName, index++, jsonObject);
}
}
private void RecognizeButton_OnClick(object sender, RoutedEventArgs e)
{
if (!string.IsNullOrEmpty(this.FilePath))
{
// Console.WriteLine(string.Join("\r\n", Directory.EnumerateFiles("./")));
using (TesseractEngine engine = new TesseractEngine(@"./tessdata", "rus", EngineMode.TesseractAndLstm))
{
IRecognitionResult result = TessEngineWrapper.ReadFile(this.Pix, engine);
SetMeanConfidence(result.MeanConfidence);
DecodedText.Text = result.Text;
}
}
}
public static Image DrawBorder2Image(this IRecognitionResult result)
{
var image = result.ImageBytes.ToImage();
using (var canvas = Graphics.FromImage(image))
{
foreach (var item in result.Items)
{
using (var pen = new Pen(Brushes.GreenYellow, image.Width / 100))
{
canvas.DrawRectangle(pen, item.X, item.Y, item.Width, item.Height);
canvas.Flush();
}
}
}
return(image);
}
public ImageLogger(IRecognitionResult result, string imageName)
{
obj = new RootObject();
obj.ImageName = imageName;
obj.Team = "team6";
foreach (var item in result.Items)
{
var xc = item.X;
var yc = item.Y;
var w = item.Width;
var h = item.Height;
obj.Region = new Region();
obj.Region.Main = new Main();
obj.Region.Main.TopLeft = new List <int> {
(xc - w / 2), (yc + h / 2)
};
obj.Region.Main.BotRight = new List <int> {
(xc + w / 2), (yc - h / 2)
};
obj.Region.Alternative = new Alternative();
obj.Region.Alternative.Center = new List <int> {
xc, yc
};
obj.Region.Alternative.Width = w;
obj.Region.Alternative.Height = h;
obj.Region.EachPoint = new List <EachPoint> {
new EachPoint("top-left, (x; y)", new List <int> {
(xc - w / 2), (yc + h / 2)
}),
new EachPoint("top-right, (x; y)", new List <int> {
(xc + w / 2), (yc + h / 2)
}),
new EachPoint("bottom-right, (x; y)", new List <int> {
(xc + w / 2), (yc - h / 2)
}),
new EachPoint("bottom-left, (x; y)", new List <int> {
(xc - w / 2), (yc - h / 2)
})
};
}
}