setting up Angular 2 with Webpack. Webpack optimizes module loading in the browser by minimizing the number of requests, and reducing the overall size.  

The DB-Engines Ranking ranks database management systems according to their popularity. The ranking is updated monthly.

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();
}

just changing the color of the icon of the app in the store saw downloads increase by 23% or decrease by 19%.

Microsoft today released the first stable version of Microsoft Edge. Build 79.0.309.65 can be downloaded from Microsoft's official web site. 

These are the customer-reported issues addressed in 15.9.4:

• Visual Studio 15.9 duplicate loads open files on solution reload.
• All users can now connect to on-premise TFS servers through Team Explorer.
• Visual Studio 15.8.3 no longer expands metadata in ItemDefinitionGroup for project-defined items during GUI builds (worked in Visual Studio 15.8.2).
• Visual Studio has multiple tabs for the same file.
• System.ArgumentException: The parameter is incorrect. (Exception from HRESULT: 0x80070057 (E_INVALIDARG)).
• LNK4099 PDB not found.
• Asset Catalog empty.
• /analyze fails for C++ code using /ZW.
• C++ compiler code optimization bug.
• Xamarin.iOS can't select image asset for Image View.
• iOS projects referencing a shared project containing image assets in an asset catalog fail to load on windows.
• Image not populating on iOS splashscreen in VS 15.8.6.
• Possible bad codegen on union/bitfield assignment in VS2017 15.8.
• Fix C# UWP Store 1201 Submission Issue.
• Fix C# UWP package creation error APPX1101: Payload contains two or more files with the same destination path 'System.Runtime.CompilerServices.Unsafe.dll'.
• Error MT2002: Failed to resolve 'System.Runtime.CompilerServices.AsyncValueTaskMethodBuilder' reference from 'System.Threading.Tasks.Extensions...'" when building a Xamarin.iOS project.
• Redirecting to a relative url doesn't work when using AndroidClientHandler.
• Debug information for typedefs of unnamed enums compiled with the C compiler is now restored.
• The spectre-mitigated x86 version of delayimp.lib is now built with /Qspectre mitigations enabled.
• Changes were made to how Asset Catalogs in Xamarin.iOS projects are loaded in order to reduce solution load time.
• We have updated Xamarin.Forms templates to use the latest version.
• We have fixed an issue with ASP.NET Core Web Applications being debugged through Kestrel that would show the error message "Unable to configure HTTPS endpoint. No server certificate was specified...".
• Enabling the AppInsights site extension in App Service from Visual Studio now happens through the use of specific Application Settings.

Security Advisory Notices

• An elevation of privilege vulnerability exists when the Diagnostics Hub Standard Collector Service improperly handles certain file operations. 

Meet the new version of the leading eCommerce solution. Today we are ending one more six month cycle with the release of nopCommerce 3.70. We made a big step to the ideal eCommerce platform with the latest version of nopCommerce. This time we pursued general scalability by close integration with world-famous Azure and implemented some changes desired by store-owners and required by the newest SEO trends.  

So as you c a n see in the image below we have a 33,3% gain for Dapper, 16,6% for EntityFramework, and 12,9% for NHibernate, so the overall performance is around 20%!