MMALSharp Accord framework HaarObjectDetector

AccordVideoCaptureHandler.cs

using System;
using System.Diagnostics;
using System.Drawing;
using System.IO;
using Accord.Vision.Detection;
using MMALSharp.Handlers;
using SixLabors.ImageSharp;
using SixLabors.ImageSharp.PixelFormats;
using Image = SixLabors.ImageSharp.Image;

namespace MMALSharpExample
{
    public class AccordVideoCaptureHandler : ICaptureHandler
    {
        public void Dispose()
        {
            
        }

        public ProcessResult Process(uint allocSize)
        {
            throw new NotImplementedException();
        }

        public void Process(byte[] data)
        {
            Stopwatch stopwatch = new Stopwatch();
        
            var cascade = new Accord.Vision.Detection.Cascades.FaceHaarCascade();
            var detector = new HaarObjectDetector(cascade, minSize: 50, 
                searchMode: ObjectDetectorSearchMode.NoOverlap);
        
            stopwatch.Start();
            using (var ms = new MemoryStream())
            using (Image<Rgba32> img = Image.Load(data))
            {
                img.SaveAsBmp(ms);
                ms.Seek(0, SeekOrigin.Begin);
            
                stopwatch.Stop();
                Console.WriteLine($"Time to save as bmp : {stopwatch.Elapsed}");
                stopwatch.Reset();
                stopwatch.Start();
                Bitmap bmp = new Bitmap(ms);
                Rectangle[] rectangles = detector.ProcessFrame(bmp);
                stopwatch.Stop();
            
                Console.WriteLine($"Time to detect face : {stopwatch.Elapsed}");
                Console.WriteLine($"Detected objects {detector.DetectedObjects.Length}");
            
                using (var file = File.Create("/home/pi/testface.bmp"))
                {
                    ms.Seek(0, SeekOrigin.Begin);
                    ms.CopyTo(file);
                }
            }
        }

        public void PostProcess()
        {
            
        }
    }
}

Program.cs

public class Program
{
    private static MMALCamera MMALCam = MMALCamera.Instance;

    public void AccordFaceDetect()
    {
        MMALCameraConfig.Debug = true;
        MMALCameraConfig.VideoResolution = Resolution.As03MPixel;

        using (var vidCaptureHandler = new AccordVideoCaptureHandler())
        using (var vidEncoder = new MMALVideoEncoder(vidCaptureHandler))
        using (var renderer = new MMALVideoRenderer())
        {
            MMALCam.ConfigureCameraSettings();
            
            vidEncoder.ConfigureOutputPort(0, MMALEncoding.MJPEG, MMALEncoding.RGBA, 90, 25000000);

            MMALCam.Camera.VideoPort.ConnectTo(vidEncoder);
            MMALCam.Camera.PreviewPort.ConnectTo(renderer);

            // Camera warm up time
            Task.Delay(2000).GetAwaiter().GetResult();

            var cts = new CancellationTokenSource(TimeSpan.FromSeconds(15));

            // Take video for 15 seconds.
            MMALCam.ProcessAsync(MMALCam.Camera.VideoPort, cts.Token).GetAwaiter().GetResult();
        }
    }
    
    public static void Main(string[] args)
    {
        var program = new Program();

        program.AccordFaceDetect();

        MMALCam.Cleanup();
    }    
}

Hi,
I tried to get this running, but I'm struggling a bit with the dependencies. If I use Accord.Net (3.8) from NuGet it wants CoreCompat.System.Drawing. That is not working, since it's coliding with System.Drawing, that got ported to .NET Core...

So I built the latest develop of Accord.Net from source to .NET Core 2. This works then, because it solved the dependency on CoreCompat. The problem is, that the code gives me an exception while calling detector.ProcessFrame(bmp). Im sure it's related to my build, so the question is: what setup / settings did you use to test this?

Thanks