public class ImageInfo
{
    public Mat Image { set; get; }
    public int ImageGroupId { set; get; }
    public int ImageId { set; get; }
}

public IList<ImageInfo> ReadTrainingImages(string path, string ext)
{
    var images = new List<ImageInfo>();
 
    var imageId = 1;
    foreach (var dir in new DirectoryInfo(path).GetDirectories())
    {
        var groupId = int.Parse(dir.Name);
        foreach (var imageFile in dir.GetFiles(ext))
        {
            var image = processTrainingImage(new Mat(imageFile.FullName, LoadMode.GrayScale));
            if (image == null)
            {
                continue;
            }
 
            images.Add(new ImageInfo
            {
                Image = image,
                ImageId = imageId++,
                ImageGroupId = groupId
            });
        }
    }
 
    return images;
}

private static Mat processTrainingImage(Mat gray)
{
    var threshImage = new Mat();
    Cv2.Threshold(gray, threshImage, Thresh, ThresholdMaxVal, ThresholdType.BinaryInv); // Threshold to find contour
 
    Point[][] contours;
    HiearchyIndex[] hierarchyIndexes;
    Cv2.FindContours(
        threshImage,
        out contours,
        out hierarchyIndexes,
        mode: ContourRetrieval.CComp,
        method: ContourChain.ApproxSimple);
 
    if (contours.Length == 0)
    {
        return null;
    }
 
    Mat result = null;
 
    var contourIndex = 0;
    while ((contourIndex >= 0))
    {
        var contour = contours[contourIndex];
 
        var boundingRect = Cv2.BoundingRect(contour); //Find bounding rect for each contour
        var roi = new Mat(threshImage, boundingRect); //Crop the image
 
        //Cv2.ImShow("src", gray);
        //Cv2.ImShow("roi", roi);
        //Cv.WaitKey(0);
 
        var resizedImage = new Mat();
        var resizedImageFloat = new Mat();
        Cv2.Resize(roi, resizedImage, new Size(10, 10)); //resize to 10X10
        resizedImage.ConvertTo(resizedImageFloat, MatType.CV_32FC1); //convert to float
        result = resizedImageFloat.Reshape(1, 1);
 
        contourIndex = hierarchyIndexes[contourIndex].Next;
    }
 
    return result;
}

public CvKNearest TrainData(IList<ImageInfo> trainingImages)
{
    var samples = new Mat();
    foreach (var trainingImage in trainingImages)
    {
        samples.PushBack(trainingImage.Image);
    }
 
    var labels = trainingImages.Select(x => x.ImageGroupId).ToArray();
    var responses = new Mat(labels.Length, 1, MatType.CV_32SC1, labels);
    var tmp = responses.Reshape(1, 1); //make continuous
    var responseFloat = new Mat();
    tmp.ConvertTo(responseFloat, MatType.CV_32FC1); // Convert  to float
 
 
    var kNearest = new CvKNearest();
    kNearest.Train(samples, responseFloat); // Train with sample and responses
    return kNearest;
}

public void DoOCR(CvKNearest kNearest, string path)
{
    var src = Cv2.ImRead(path);
    Cv2.ImShow("Source", src);
 
    var gray = new Mat();
    Cv2.CvtColor(src, gray, ColorConversion.BgrToGray);
 
    var threshImage = new Mat();
    Cv2.Threshold(gray, threshImage, Thresh, ThresholdMaxVal, ThresholdType.BinaryInv); // Threshold to find contour
 
 
    Point[][] contours;
    HiearchyIndex[] hierarchyIndexes;
    Cv2.FindContours(
        threshImage,
        out contours,
        out hierarchyIndexes,
        mode: ContourRetrieval.CComp,
        method: ContourChain.ApproxSimple);
 
    if (contours.Length == 0)
    {
        throw new NotSupportedException("Couldn't find any object in the image.");
    }
 
    //Create input sample by contour finding and cropping
    var dst = new Mat(src.Rows, src.Cols, MatType.CV_8UC3, Scalar.All(0));
 
    var contourIndex = 0;
    while ((contourIndex >= 0))
    {
        var contour = contours[contourIndex];
 
        var boundingRect = Cv2.BoundingRect(contour); //Find bounding rect for each contour
 
        Cv2.Rectangle(src,
            new Point(boundingRect.X, boundingRect.Y),
            new Point(boundingRect.X + boundingRect.Width, boundingRect.Y + boundingRect.Height),
            new Scalar(0, 0, 255),
            2);
 
        var roi = new Mat(threshImage, boundingRect); //Crop the image
 
        var resizedImage = new Mat();
        var resizedImageFloat = new Mat();
        Cv2.Resize(roi, resizedImage, new Size(10, 10)); //resize to 10X10
        resizedImage.ConvertTo(resizedImageFloat, MatType.CV_32FC1); //convert to float
        var result = resizedImageFloat.Reshape(1, 1);
 
 
        var results = new Mat();
        var neighborResponses = new Mat();
        var dists = new Mat();
        var detectedClass = (int)kNearest.FindNearest(result, 1, results, neighborResponses, dists);
 
        //Console.WriteLine("DetectedClass: {0}", detectedClass);
        //Cv2.ImShow("roi", roi);
        //Cv.WaitKey(0);
 
        //Cv2.ImWrite(string.Format("det_{0}_{1}.png",detectedClass, contourIndex), roi);
 
        Cv2.PutText(
            dst,
            detectedClass.ToString(CultureInfo.InvariantCulture),
            new Point(boundingRect.X, boundingRect.Y + boundingRect.Height),
            0,
            1,
            new Scalar(0, 255, 0),
            2);
 
        contourIndex = hierarchyIndexes[contourIndex].Next;
    }
 
    Cv2.ImShow("Segmented Source", src);
    Cv2.ImShow("Detected", dst);
 
    Cv2.ImWrite("dest.jpg", dst);
 
    Cv2.WaitKey();
}

Why is 2 * (i * i) faster than 2 * i * i in Java? 

    public class User
    {
        public int Id { get; set; }
        public string Name { get; set; }

        public virtual ICollection<BlogPost> BlogPosts { get; set; }
    }

    public class BlogPost
    {
        public int Id { get; set; }
        public string Title { get; set; }
        public string Content { get; set; }

        [ForeignKey("UserId")]
        public virtual User User { get; set; }
        public int UserId { get; set; }
    }

 var data = context.BlogPosts.ToList();

 var data = context.BlogPosts.ToList();

 var list = context.BlogPosts.Select(x => x.Content).Skip(15).Take(15).ToList();

 foreach (var post in context.BlogPosts)
{
     Console.WriteLine(post.User.Name);
}

 foreach (var post in context.BlogPosts.Include(x=>x.User))

 var data = context.BlogPosts.ToList();

 var data = context.BlogPosts.AsNoTracking().Skip(15).Take(15).ToList();

        private void problem5MoreThan1ConnectionPerRequest() 
        {
            using (var context = new MyContext())
            {
                var count = context.BlogPosts.ToList();
            }
        }

DataContext = from user in context.Users
                      where user.Id>10
                      select user;

 var list = context.BlogPosts.Where(x => x.Content.Contains("test"))

<input [ngModel]="username" (ngModelChange)="username = $event">

<input [(ngModel)]='username' />

import { Component, OnInit } from "@angular/core";

@Component({
  selector: "app-parent",
  templateUrl: "./parent.component.html",
  styleUrls: ["./parent.component.css"]
})
export class ParentComponent implements OnInit {

  amount = 500;

  constructor() { }

  ngOnInit() {
  }

  deposit() {
    this.amount += 100;
  }
}

<h2>Custom two way data binding</h2>

<div class="panel panel-primary">
  <div class="panel-heading">
    <h2 class="panel-title">Parnet Component</h2>
  </div>
  <div class="panel-body">
    <label>Available amount:</label> {{amount}}
    <button (click)="deposit()" class="btn btn-success">Deposit 100</button>
    <div>
      <app-child [amount]="amount"> </app-child>
    </div>
  </div>
</div>

import { Component, OnInit, Input } from "@angular/core";

@Component({
  selector: "app-child",
  templateUrl: "./child.component.html",
  styleUrls: ["./child.component.css"]
})
export class ChildComponent implements OnInit {

  @Input() amount: number;

  constructor() { }

  ngOnInit() {
  }

  withdraw() {
    this.amount -= 100;
  }
}

<div class="panel panel-default">
  <div class="panel-heading">
    <h2 class="panel-title">Child Component</h2>
  </div>
  <div class="panel-body">
    <label>Amount available: </label> {{amount}}

    <button (click)="withdraw()" class="btn btn-danger">Withdraw 100</button>
  </div>
</div>

<app-child [amount]="amount"> </app-child>

import { Component, OnInit, Input, Output, EventEmitter } from "@angular/core";

@Component({
  selector: "app-child",
  templateUrl: "./child.component.html",
  styleUrls: ["./child.component.css"]
})
export class ChildComponent implements OnInit {

  @Input() amount: number;
  @Output() amountChange = new EventEmitter();

  constructor() { }

  ngOnInit() {
  }

  withdraw() {
    this.amount -= 100;
    this.amountChange.emit(this.amount);
  }
}

<app-child [amount]="amount" (amountChange)="this.amount= $event"> </app-child>

<app-child [amount]="amount" (amountChange)="this.amount= $event"> </app-child>

<app-child [(amount)]="amount"> </app-child>

  @Input() amount: number;
  @Output() amountChange = new EventEmitter();

import 'rxjs/add/operator/map';

import { map } from 'rxjs/operators';

import { map, catchError, tap } from 'rxjs/operators';

import { Observable } from 'rxjs/Rx';

import { Observable } from 'rxjs/Observable';

import 'rxjs/add/observable/throw';

Observable.throw('error');

import { ErrorObservable } from 'rxjs/observable/ErrorObservable';

ErrorObservable.create('error');

import "rxjs/add/observable/timer";

const timerSource$ = Observable.timer(initialDelay);

import { timer } from 'rxjs/observable/timer';  

const timerSource$ = timer(initialDelay);

import { from} from 'rxjs/observable/from';
import { map, scan, filter } from 'rxjs/operators';

const source$ = range(1,10);

const sumOfSquaredOddNumbers$ = source$.pipe(
   filter(n => n % 2 !== 0), 
   map(n => n * n),
   scan((acc,s) => acc + s, 0)
);
sumOfSquaredOddNumbers$.subscribe(v => console.log(v));

/*** Output ****/ 
1
10
35
84
165

import { of } from 'rxjs/observable/of';
import { from } from 'rxjs/observable/from';
import { range } from 'rxjs/observable/range';

const source$ = of(1,2,3);
const rangeSource$ = range(0,5);

import { Observable } from 'rxjs/Observable';
import 'rxjs/add/operator/map';
import 'rxjs/add/operator/filter';

names = allUserData.
         map(user => user.name).
         filter(name => name);

import { Observable } from 'rxjs/Observable';
import { map, filter } from 'rxjs/operators';

names = allUserData.pipe(
   map(user => user.name),
   filter(name => name),
);

Microsoft's .NET Core is now making its way to Raspberry Pi developer boards, and an official .NET 2.0 Core is coming from the software company later this year