Parsing the JSON files with coordinates from our Machine Learning model

JsonParser.cs

using System;
using System.Collections.Generic;
using System.Drawing;
using System.Drawing.Imaging;
using System.IO;
using System.Linq;
using System.Reflection.Emit;
using System.Threading.Tasks;
using Newtonsoft.Json;
using Recognize_TextSdk;

namespace ImageCut
{
    public static class JsonParser
    {
        private static int count = 1;

        public static List<SubPicture> GetData(string jsonPath, string imagePath)
        {
            Image img = Image.FromFile(imagePath);
            string json = File.ReadAllText(jsonPath);
            // In case of a Json that was tranfered from the XML file
            Model model = JsonConvert.DeserializeObject<Model>(json);
            List<SubPicture> subPictures = model.Annotation.Objects;

            //In case of a Json file that was returned from the ML
            //            List<SubPicture> subPictures = JsonConvert.DeserializeObject<List<SubPicture>>(json);

            foreach (SubPicture subPicture in subPictures)
            {
                if (subPicture.Label == "label")
                {
                    Bitmap newImg = CropImage(img, subPicture.TopLeft.X, subPicture.TopLeft.Y, subPicture.BottomRight.X, subPicture.BottomRight.Y);

                    newImg.Save($@".\{count}.jpg", ImageFormat.Jpeg);

                    Task<string> task = TextExtractor.ExtractTextAsync($@".\{count++}.jpg");

                    var label = task.GetAwaiter().GetResult();

                    subPicture.Label = $"label_{label}";
                }

            }

            return subPictures;
        }

        private static Bitmap CropImage(Image source, int x1, int y1, int x2, int y2)
        {
            Rectangle crop = new Rectangle(x1, y1, x2 - x1, y2 - y1);

            var bmp = new Bitmap(crop.Width, crop.Height);
            using (var gr = Graphics.FromImage(bmp))
            {
                gr.DrawImage(source, new Rectangle(0, 0, bmp.Width, bmp.Height), crop, GraphicsUnit.Pixel);
            }

            return bmp;
        }
    }

    public class Model
    {
        public Annotation Annotation { get; set; }
    }

    public class Annotation
    {

        public List<SubPicture> Objects { get; set; }

        public Annotation()
        {
            this.Objects = new List<SubPicture>();
        }
    }

    public class SubPicture
    {
        public Point TopLeft { get; set; }
        public Point BottomRight { get; set; }
        public string Label { get; set; }

        public SubPicture()
        {
            this.TopLeft = new Point();
            this.BottomRight = new Point();
        }

        public override string ToString()
        {
            return $"{this.Label} ({this.TopLeft.X}, {this.TopLeft.Y})";
        }
    }

    public class Point
    {
        public int X { get; set; }
        public int Y { get; set; }
    }
}