Dummy detector ("none") always returns GravitateTo point.

Splitter-UI/Services/SingleThreadedDetector.cs

@@ -5,11 +5,11 @@ public class SingleThreadedDetector<T>(IObjectDetector _detector) : IObjectDetec
 {
     private Lock _lock = new();
 
-    public List<(OpenCvSharp.Rect box, Point2f center)> DetectAll(Mat frameCont)
+    public List<(OpenCvSharp.Rect box, Point2f center)> DetectAll(SingleTask job, Mat frameCont)
     {
         lock (_lock)
         {
-            return _detector.DetectAll(frameCont);
+            return _detector.DetectAll(job, frameCont);
         }
     }
     

Splitter-UI/ViewModels/JobViewModel.cs

@@ -258,7 +258,18 @@ public partial class JobViewModel : ObservableObject
             Preview      = new PreviewData(frame, [], null, Job.GravitateTo ?? new (0.5f, 0.5f));
 
             var detector = _detectorFactory(Job.Detect ?? "");
-            var detections = detector.DetectAll(frame.ToMatContinuous());
+            var j = new SingleTask
+            (
+                Job             : Job,
+                Info            : Probe,
+                OutputFileName  : "preview.jpg",
+                SegmentIndex    : 0,
+                TotalSegments   : 1,
+                SegmentStart    : PositionSeconds,
+                SegmentLength   : 1, // 1 second segment for detection
+                ProcessorFactory: _ => throw new NotImplementedException()
+            );
+            var detections = detector.DetectAll(j, frame.ToMatContinuous());
 
             Rect? crop = null;
             if (detections.Count > 0)

splitter-cli/TrackingSplitter.cs

@@ -130,7 +130,7 @@ public class TrackingSplitter : LoggingBase, ISegmentProcessor, IDisposable
 
                 Marshal.Copy(inBuffer, 0, frameMat.Data, inBytes);
 
-                var objects = _detector.DetectAll(frameMat);
+                var objects = _detector.DetectAll(job, frameMat);
                 var primary = SelectTrackedObject(objects, kalman.LastMeasurement);
 
                 camera.Update(primary);

splitter-cli/algo/DummyDetector.cs

@@ -1,7 +1,21 @@
 namespace splitter.algo;
 
-public class DummyDetector : IObjectDetector
+public sealed class DummyDetector : IObjectDetector
 {
-    public List<(Rect box, Point2f center)> DetectAll(Mat frameCont) => [];
+    public List<(Rect box, Point2f center)> DetectAll(SingleTask job, Mat frameCont)
+    {
+        var h   = job.Info.Height;
+        var w   = job.Info.Width;
+
+        var c = job.Job.GravitateTo ?? new Point2f(0.5f, 0.5f);
+        var x = (int)(c.X * w);
+        var y = (int)(c.Y * h);
+
+        var center = new Point2f(x, y);
+        var rect = new Rect(x - 1, y - 1, 2, 2);
+
+        return [(rect, center)];
+    }
+
     public void Dispose() {}
 }

splitter-cli/algo/IObjectDetector.cs

@@ -2,5 +2,5 @@
 
 public interface IObjectDetector : IDisposable
 {
-    List<(Rect box, Point2f center)> DetectAll(Mat frameCont);
+    List<(Rect box, Point2f center)> DetectAll(SingleTask job, Mat frameCont);
 }

splitter-cli/algo/RealBasicVsr2xDmlEnhancer.cs

@@ -7,22 +7,22 @@ public sealed unsafe class RealBasicVsr2xDmlEnhancer : IVideoEnhancer
 {
     public int ResolutionMultiplier => 2;
 
-    private InferenceSession _session;
+    private InferenceSession    _session      = null!;
-    private SessionOptions _options;
+    private SessionOptions      _options      = null!;
 
-    private int _inW;
+    private int                 _inW;
-    private int _inH;
+    private int                 _inH;
-    private int _window;
+    private int                 _window;
 
-    private readonly Queue<Mat> _frames = new Queue<Mat>(32);
+    private readonly Queue<Mat> _frames       = new Queue<Mat>(32);
 
-    private float[] _inputBuffer;
+    private float[]             _inputBuffer  = null!;
-    private float[] _outputBuffer;
+    private float[]             _outputBuffer = null!;
 
-    private DenseTensor<float> _inputTensor;
+    private DenseTensor<float>  _inputTensor  = null!;
-    private DenseTensor<float> _outputTensor;
+    private DenseTensor<float>  _outputTensor = null!;
 
-    private Mat _outputMat;
+    private Mat                 _outputMat    = null!;
 
     private readonly List<NamedOnnxValue> _inputList = new List<NamedOnnxValue>(1);
 
@@ -58,7 +58,7 @@ public sealed unsafe class RealBasicVsr2xDmlEnhancer : IVideoEnhancer
 
     public unsafe bool TryProcessFrame(Mat input, out Mat output, CancellationToken token)
     {
-        output = null;
+        output = null!;
 
         if (token.IsCancellationRequested)
             return false;
@@ -194,115 +194,6 @@ public sealed unsafe class RealBasicVsr2xDmlEnhancer : IVideoEnhancer
         return true;
     }
 
-    public unsafe bool TryProcessFrame2(Mat input, out Mat output, CancellationToken token)
-    {
-        output = null;
-
-        if (token.IsCancellationRequested)
-            return false;
-
-        if (_frames.Count == _window)
-        {
-            var old = _frames.Dequeue();
-            old.Dispose();
-        }
-
-        _frames.Enqueue(input.Clone());
-
-        if (_frames.Count < _window)
-            return false;
-
-        int T = _window;
-        int H = _inH;
-        int W = _inW;
-
-        // ------------------------------------------------------------
-        // INPUT: CV_8UC3 BGR -> normalized RGB, channels-first [1,T,3,H,W]
-        // ------------------------------------------------------------
-
-        int t = 0;
-
-        foreach (var f in _frames)
-        {
-            byte* src = (byte*)f.Data;
-            int stride = (int)f.Step();
-
-            for (int y = 0; y < H; y++)
-            {
-                byte* row = src + y * stride;
-
-                for (int x = 0; x < W; x++)
-                {
-                    int p = x * 3;
-
-                    byte b = row[p + 0];
-                    byte g = row[p + 1];
-                    byte r = row[p + 2];
-
-                    float rN = r * (1.0f / 255.0f);
-                    float gN = g * (1.0f / 255.0f);
-                    float bN = b * (1.0f / 255.0f);
-
-                    int idxR = ((((0 * T) + t) * 3 + 0) * H + y) * W + x;
-                    int idxG = ((((0 * T) + t) * 3 + 1) * H + y) * W + x;
-                    int idxB = ((((0 * T) + t) * 3 + 2) * H + y) * W + x;
-
-                    _inputBuffer[idxR] = rN;
-                    _inputBuffer[idxG] = gN;
-                    _inputBuffer[idxB] = bN;
-                }
-            }
-
-            t++;
-        }
-
-        _inputList.Clear();
-        _inputList.Add(NamedOnnxValue.CreateFromTensor("input", _inputTensor));
-
-        using var results = _session.Run(_inputList);
-
-        var outTensor = results[0].AsTensor<float>();
-
-        var dims = outTensor.Dimensions; // [1, T, 3, H2, W2]
-
-        int outT = dims[1];
-        int outH = dims[3];
-        int outW = dims[4];
-
-        int last = outT - 1;
-
-        unsafe
-        {
-            byte* dstBase = (byte*)_outputMat.Data;
-            int dstStride = (int)_outputMat.Step();
-
-            for (int y = 0; y < outH; y++)
-            {
-                byte* row = dstBase + y * dstStride;
-
-                for (int x = 0; x < outW; x++)
-                {
-                    float b = outTensor[0, last, 0, y, x]; // B, 0..1
-                    float g = outTensor[0, last, 1, y, x]; // G, 0..1
-                    float r = outTensor[0, last, 2, y, x]; // R, 0..1
-
-                    int p = x * 3;
-
-                    row[p + 0] = (byte)(b * 255.0f); // B
-                    row[p + 1] = (byte)(g * 255.0f); // G
-                    row[p + 2] = (byte)(r * 255.0f); // R
-                }
-            }
-        }
-
-
-        output = _outputMat;
-        //ColorDebug.DumpAll(output, "C:\\Temp\\splitter-color-debug\\output");
-        return true;
-    }
-
-
-
     public int Flush(Span<Mat> outputFrames, CancellationToken token)
     {
         return 0;

splitter-cli/algo/UltraFaceDetector.cs

@@ -23,7 +23,7 @@ public sealed class UltraFaceDetector: LoggingBase, IDisposable, IObjectDetector
         _ultraFace = UltraFace.Create(param);
     }
 
-    public List<(Rect box, Point2f center)> DetectAll(Mat frameCont)
+    public List<(Rect box, Point2f center)> DetectAll(SingleTask job, Mat frameCont)
     {
         // Convert to byte[] for UltraFace
         var bytesFull = frameCont.Rows * frameCont.Cols * frameCont.ElemSize();

splitter-cli/algo/YoloOnnxObjectDetector.cs

@@ -78,7 +78,7 @@ public sealed class YoloOnnxObjectDetector : LoggingBase, IObjectDetector, IDisp
         _inputs.Add(NamedOnnxValue.CreateFromTensor(_inputName, _inputTensor));
     }
 
-    public List<(Rect box, Point2f center)> DetectAll(Mat frameCont)
+    public List<(Rect box, Point2f center)> DetectAll(SingleTask job, Mat frameCont)
     {
         if (frameCont.Empty())
         {