Tempdb scalability improvement creates multiple files during setup based on number of cores, this will reduce allocation contention on system pages in tempdb.

You have a finite number of keystrokes left in your hands before you die  

Do they deserve the gift of your keystrokes?

According to a report published by the International Data Corporation (IDC), the total number of software development experts across the world is well in excess of 18,500,000 

most problems are caused by a small number of bad coding practices. Eliminate them and your work will be very much easier and more productive. 

var srcImage = new Mat(@"..\..\Images\Test.jpg");
Cv2.ImShow("Source", srcImage);
Cv2.WaitKey(1); // do events
 
var grayImage = new Mat();
Cv2.CvtColor(srcImage, grayImage, ColorConversion.BgrToGray);
Cv2.EqualizeHist(grayImage, grayImage);

var cascade = new CascadeClassifier(@"..\..\Data\haarcascade_frontalface_alt.xml");
var nestedCascade = new CascadeClassifier(@"..\..\Data\haarcascade_eye_tree_eyeglasses.xml");
 
var faces = cascade.DetectMultiScale(
    image: grayImage,
    scaleFactor: 1.1,
    minNeighbors: 2,
    flags: HaarDetectionType.Zero | HaarDetectionType.ScaleImage,
    minSize: new Size(30, 30)
    );
 
Console.WriteLine("Detected faces: {0}", faces.Length);

var rnd = new Random();
var count = 1;
foreach (var faceRect in faces)
{
    var detectedFaceImage = new Mat(srcImage, faceRect);
    Cv2.ImShow(string.Format("Face {0}", count), detectedFaceImage);
    Cv2.WaitKey(1); // do events
 
    var color = Scalar.FromRgb(rnd.Next(0, 255), rnd.Next(0, 255), rnd.Next(0, 255));
    Cv2.Rectangle(srcImage, faceRect, color, 3);
  
    count++;
}
 
Cv2.ImShow("Haar Detection", srcImage);
Cv2.WaitKey(1); // do events

var rnd = new Random();
var count = 1;
foreach (var faceRect in faces)
{
    var detectedFaceImage = new Mat(srcImage, faceRect);
    Cv2.ImShow(string.Format("Face {0}", count), detectedFaceImage);
    Cv2.WaitKey(1); // do events
 
    var color = Scalar.FromRgb(rnd.Next(0, 255), rnd.Next(0, 255), rnd.Next(0, 255));
    Cv2.Rectangle(srcImage, faceRect, color, 3);
 
 
    var detectedFaceGrayImage = new Mat();
    Cv2.CvtColor(detectedFaceImage, detectedFaceGrayImage, ColorConversion.BgrToGray);
    var nestedObjects = nestedCascade.DetectMultiScale(
        image: detectedFaceGrayImage,
        scaleFactor: 1.1,
        minNeighbors: 2,
        flags: HaarDetectionType.Zero | HaarDetectionType.ScaleImage,
        minSize: new Size(30, 30)
        );
 
    Console.WriteLine("Nested Objects[{0}]: {1}", count, nestedObjects.Length);
 
    foreach (var nestedObject in nestedObjects)
    {
        var center = new Point
        {
            X = Cv.Round(nestedObject.X + nestedObject.Width * 0.5) + faceRect.Left,
            Y = Cv.Round(nestedObject.Y + nestedObject.Height * 0.5) + faceRect.Top
        };
        var radius = Cv.Round((nestedObject.Width + nestedObject.Height) * 0.25);
        Cv2.Circle(srcImage, center, radius, color, thickness: 3);
    }
 
    count++;
}
 
Cv2.ImShow("Haar Detection", srcImage);
Cv2.WaitKey(1); // do events

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In this course, we are going to start at the basics of TypeScript and how primitive JavaScript data types integrate into the work of TypeScript. There is going to be challenges along the way to strengthen basic concepts.  

Have you ever written a library in JavaScript or TypeScript? Are you planning to do it? If so, you must try Typescript library starter, a starter kit that will make easy to get started while providing all features you know to write a library in Typescript.