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Missing Features in Entity Framework Core
Here’s a brief summary of some of the features that were present in previous versions of Entity Framework (6.x) and were excluded (or are not yet implemented) in Entity Framework Core 2.0: 

private static void updateBrightnessContrast(Mat src, Mat modifiedSrc, int brightness, int contrast)
{
    brightness = brightness - 100;
    contrast = contrast - 100;
 
    double alpha, beta;
    if (contrast > 0)
    {
        double delta = 127f * contrast / 100f;
        alpha = 255f / (255f - delta * 2);
        beta = alpha * (brightness - delta);
    }
    else
    {
        double delta = -128f * contrast / 100;
        alpha = (256f - delta * 2) / 255f;
        beta = alpha * brightness + delta;
    }
    src.ConvertTo(modifiedSrc, MatType.CV_8UC3, alpha, beta);
}

using (var src = new Mat(@"..\..\Images\Penguin.Png", LoadMode.AnyDepth | LoadMode.AnyColor))
{
    using (var sourceWindow = new Window("Source", image: src,
           flags: WindowMode.AutoSize | WindowMode.FreeRatio))
    {
        using (var histogramWindow = new Window("Histogram",
               flags: WindowMode.AutoSize | WindowMode.FreeRatio))
        {
            var brightness = 100;
            var contrast = 100;
 
            var brightnessTrackbar = sourceWindow.CreateTrackbar(
                    name: "Brightness", value: brightness, max: 200,
                    callback: pos =>
                    {
                        brightness = pos;
                        updateImageCalculateHistogram(sourceWindow, histogramWindow, src, brightness, contrast);
                    });
 
            var contrastTrackbar = sourceWindow.CreateTrackbar(
                name: "Contrast", value: contrast, max: 200,
                callback: pos =>
                {
                    contrast = pos;
                    updateImageCalculateHistogram(sourceWindow, histogramWindow, src, brightness, contrast);
                });
 
 
            brightnessTrackbar.Callback.DynamicInvoke(brightness);
            contrastTrackbar.Callback.DynamicInvoke(contrast);
 
            Cv2.WaitKey();
        }
    }
}

private static void calculateHistogram1(Window histogramWindow, Mat src, Mat modifiedSrc)
{
    const int histogramSize = 64;
    int[] dimensions = { histogramSize }; // Histogram size for each dimension
    Rangef[] ranges = { new Rangef(0, histogramSize) }; // min/max
 
    using (var histogram = new Mat())
    {
        Cv2.CalcHist(
            images: new[] { modifiedSrc },
            channels: new[] { 0 },
            mask: null,
            hist: histogram,
            dims: 1,
            histSize: dimensions,
            ranges: ranges);
 
        using (var histogramImage = (Mat)(Mat.Ones(rows: src.Rows, cols: src.Cols, type: MatType.CV_8U) * 255))
        {
            // Scales and draws histogram
 
            Cv2.Normalize(histogram, histogram, 0, histogramImage.Rows, NormType.MinMax);
            var binW = Cv.Round((double)histogramImage.Cols / histogramSize);
 
            var color = Scalar.All(100);
 
            for (var i = 0; i < histogramSize; i++)
            {
                Cv2.Rectangle(histogramImage,
                    new Point(i * binW, histogramImage.Rows),
                    new Point((i + 1) * binW, histogramImage.Rows - Cv.Round(histogram.Get<float>(i))),
                    color,
                    -1);
            }
 
            histogramWindow.Image = histogramImage;
        }
    }
}