Alternativa a AForge.NET: Guía de migración a VisioForge .Net SDK

// AForge: Manual device enumeration, callback-based, no recording
var videoDevices = new FilterInfoCollection(FilterCategory.VideoInputDevice);
var videoSource = new VideoCaptureDevice(videoDevices[0].MonikerString);
videoSource.NewFrame += (sender, eventArgs) =>
{
    Bitmap frame = (Bitmap)eventArgs.Frame.Clone();
    pictureBox.Image = frame;
    // Manual recording requires separate code
};
videoSource.Start();

// Cleanup
videoSource.SignalToStop();
videoSource.WaitForStop();

// VisioForge: Typed API, async, preview + recording built-in
var capture = new VideoCaptureCoreX(videoView);  // Preview automatic
var devices = await DeviceEnumerator.Shared.VideoSourcesAsync();
capture.Video_Source = new VideoCaptureDeviceSourceSettings(devices[0]);
capture.Outputs_Add(new MP4Output("recording.mp4"), true);
await capture.StartAsync();

// Stop
await capture.StopAsync();

// AForge: MJPEG only, no RTSP, no reconnection
var stream = new MJPEGStream("http://camera-ip/mjpg/video.mjpg");
stream.NewFrame += (sender, eventArgs) =>
{
    pictureBox.Image = (Bitmap)eventArgs.Frame.Clone();
};
stream.Start();

// VisioForge: RTSP, RTMP, HLS, MJPEG — with auto-reconnection
var capture = new VideoCaptureCoreX(videoView);
capture.Video_Source = new RTSPSourceSettings(
    new Uri("rtsp://admin:pass@camera-ip/stream"));
capture.Outputs_Add(new MP4Output("recording.mp4"), true);
await capture.StartAsync();

// AForge: Basic, CPU-intensive, no recording
var screenStream = new ScreenCaptureStream(Screen.PrimaryScreen.Bounds);
screenStream.NewFrame += (sender, eventArgs) =>
{
    pictureBox.Image = (Bitmap)eventArgs.Frame.Clone();
    // Must manually encode and write frames to create a recording
};
screenStream.Start();

// VisioForge: Region selection, cursor capture, hardware encoding
var capture = new VideoCaptureCoreX(videoView);
capture.Video_Source = new ScreenCaptureSourceSettings();
capture.Outputs_Add(new MP4Output("screen.mp4", new H264EncoderSettings()), true);
await capture.StartAsync();

// AForge: Manual frame processing, no recording integration
var detector = new MotionDetector(
    new TwoFramesDifferenceDetector(),
    new MotionAreaHighlighting());

videoSource.NewFrame += (sender, eventArgs) =>
{
    float motionLevel = detector.ProcessFrame((Bitmap)eventArgs.Frame.Clone());
    if (motionLevel > 0.02f)
        Console.WriteLine($"Motion: {motionLevel * 100:F1}%");
};

// Integrated detection during capture + recording
var capture = new VideoCaptureCoreX(videoView);
capture.Video_Source = new VideoCaptureDeviceSourceSettings(devices[0]);
capture.Outputs_Add(new MP4Output("recording.mp4"), true);

capture.OnMotionDetection += (s, e) =>
{
    if (e.Level > 30)
        Console.WriteLine($"Motion: {e.Level}%");
};

await capture.StartAsync();

// AForge had no built-in face detection — required manual Haar cascade code
// or using Accord.NET's HaarObjectDetector on top of AForge frames

var settings = new CVFaceDetectSettings
{
    DetectFrontalFace = true,
    DetectProfileFace = true,
    DetectEyes = true,
    DetectNose = true,
    DetectMouth = true,
    MinFaceSize = new Size(30, 30),
    ScaleFactor = 1.1,
    DrawEnabled = true,
    BlurFaces = false,    // set true for privacy blur
    PixelateFaces = false // set true for privacy pixelation
};
var detector = new CVFaceDetectBlock(settings);

// AForge had no pedestrian detection — required manual HOG+SVM implementation

var settings = new CVFaceDetectSettings
{
    DrawEnabled = true,
    VideoScale = 1.0,
    FramesToSkip = 2
};
var detector = new CVFaceDetectBlock(settings);
// Built-in HOG descriptors + SVM classifier, multi-scale detection