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https://github.com/unclshura/splitter.git
synced 2026-06-21 16:12:01 +00:00
Dummy detector ("none") always returns GravitateTo point.
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de0d0c77fc
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@ -5,11 +5,11 @@ public class SingleThreadedDetector<T>(IObjectDetector _detector) : IObjectDetec
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{
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private Lock _lock = new();
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public List<(OpenCvSharp.Rect box, Point2f center)> DetectAll(Mat frameCont)
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public List<(OpenCvSharp.Rect box, Point2f center)> DetectAll(SingleTask job, Mat frameCont)
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{
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lock (_lock)
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{
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return _detector.DetectAll(frameCont);
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return _detector.DetectAll(job, frameCont);
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}
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}
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@ -258,7 +258,18 @@ public partial class JobViewModel : ObservableObject
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Preview = new PreviewData(frame, [], null, Job.GravitateTo ?? new (0.5f, 0.5f));
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var detector = _detectorFactory(Job.Detect ?? "");
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var detections = detector.DetectAll(frame.ToMatContinuous());
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var j = new SingleTask
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(
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Job : Job,
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Info : Probe,
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OutputFileName : "preview.jpg",
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SegmentIndex : 0,
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TotalSegments : 1,
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SegmentStart : PositionSeconds,
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SegmentLength : 1, // 1 second segment for detection
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ProcessorFactory: _ => throw new NotImplementedException()
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);
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var detections = detector.DetectAll(j, frame.ToMatContinuous());
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Rect? crop = null;
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if (detections.Count > 0)
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@ -130,7 +130,7 @@ public class TrackingSplitter : LoggingBase, ISegmentProcessor, IDisposable
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Marshal.Copy(inBuffer, 0, frameMat.Data, inBytes);
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var objects = _detector.DetectAll(frameMat);
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var objects = _detector.DetectAll(job, frameMat);
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var primary = SelectTrackedObject(objects, kalman.LastMeasurement);
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camera.Update(primary);
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@ -1,7 +1,21 @@
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namespace splitter.algo;
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public class DummyDetector : IObjectDetector
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public sealed class DummyDetector : IObjectDetector
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{
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public List<(Rect box, Point2f center)> DetectAll(Mat frameCont) => [];
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public List<(Rect box, Point2f center)> DetectAll(SingleTask job, Mat frameCont)
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{
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var h = job.Info.Height;
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var w = job.Info.Width;
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var c = job.Job.GravitateTo ?? new Point2f(0.5f, 0.5f);
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var x = (int)(c.X * w);
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var y = (int)(c.Y * h);
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var center = new Point2f(x, y);
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var rect = new Rect(x - 1, y - 1, 2, 2);
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return [(rect, center)];
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}
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public void Dispose() {}
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}
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@ -2,5 +2,5 @@
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public interface IObjectDetector : IDisposable
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{
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List<(Rect box, Point2f center)> DetectAll(Mat frameCont);
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List<(Rect box, Point2f center)> DetectAll(SingleTask job, Mat frameCont);
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}
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@ -7,22 +7,22 @@ public sealed unsafe class RealBasicVsr2xDmlEnhancer : IVideoEnhancer
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{
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public int ResolutionMultiplier => 2;
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private InferenceSession _session;
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private SessionOptions _options;
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private InferenceSession _session = null!;
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private SessionOptions _options = null!;
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private int _inW;
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private int _inH;
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private int _window;
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private int _inW;
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private int _inH;
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private int _window;
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private readonly Queue<Mat> _frames = new Queue<Mat>(32);
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private readonly Queue<Mat> _frames = new Queue<Mat>(32);
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private float[] _inputBuffer;
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private float[] _outputBuffer;
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private float[] _inputBuffer = null!;
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private float[] _outputBuffer = null!;
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private DenseTensor<float> _inputTensor;
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private DenseTensor<float> _outputTensor;
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private DenseTensor<float> _inputTensor = null!;
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private DenseTensor<float> _outputTensor = null!;
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private Mat _outputMat;
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private Mat _outputMat = null!;
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private readonly List<NamedOnnxValue> _inputList = new List<NamedOnnxValue>(1);
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@ -58,7 +58,7 @@ public sealed unsafe class RealBasicVsr2xDmlEnhancer : IVideoEnhancer
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public unsafe bool TryProcessFrame(Mat input, out Mat output, CancellationToken token)
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{
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output = null;
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output = null!;
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if (token.IsCancellationRequested)
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return false;
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@ -194,115 +194,6 @@ public sealed unsafe class RealBasicVsr2xDmlEnhancer : IVideoEnhancer
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return true;
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}
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public unsafe bool TryProcessFrame2(Mat input, out Mat output, CancellationToken token)
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{
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output = null;
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if (token.IsCancellationRequested)
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return false;
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if (_frames.Count == _window)
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{
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var old = _frames.Dequeue();
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old.Dispose();
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}
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_frames.Enqueue(input.Clone());
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if (_frames.Count < _window)
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return false;
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int T = _window;
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int H = _inH;
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int W = _inW;
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// ------------------------------------------------------------
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// INPUT: CV_8UC3 BGR -> normalized RGB, channels-first [1,T,3,H,W]
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// ------------------------------------------------------------
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int t = 0;
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foreach (var f in _frames)
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{
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byte* src = (byte*)f.Data;
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int stride = (int)f.Step();
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for (int y = 0; y < H; y++)
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{
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byte* row = src + y * stride;
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for (int x = 0; x < W; x++)
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{
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int p = x * 3;
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byte b = row[p + 0];
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byte g = row[p + 1];
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byte r = row[p + 2];
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float rN = r * (1.0f / 255.0f);
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float gN = g * (1.0f / 255.0f);
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float bN = b * (1.0f / 255.0f);
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int idxR = ((((0 * T) + t) * 3 + 0) * H + y) * W + x;
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int idxG = ((((0 * T) + t) * 3 + 1) * H + y) * W + x;
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int idxB = ((((0 * T) + t) * 3 + 2) * H + y) * W + x;
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_inputBuffer[idxR] = rN;
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_inputBuffer[idxG] = gN;
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_inputBuffer[idxB] = bN;
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}
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}
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t++;
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}
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_inputList.Clear();
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_inputList.Add(NamedOnnxValue.CreateFromTensor("input", _inputTensor));
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using var results = _session.Run(_inputList);
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var outTensor = results[0].AsTensor<float>();
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var dims = outTensor.Dimensions; // [1, T, 3, H2, W2]
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int outT = dims[1];
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int outH = dims[3];
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int outW = dims[4];
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int last = outT - 1;
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unsafe
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{
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byte* dstBase = (byte*)_outputMat.Data;
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int dstStride = (int)_outputMat.Step();
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for (int y = 0; y < outH; y++)
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{
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byte* row = dstBase + y * dstStride;
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for (int x = 0; x < outW; x++)
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{
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float b = outTensor[0, last, 0, y, x]; // B, 0..1
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float g = outTensor[0, last, 1, y, x]; // G, 0..1
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float r = outTensor[0, last, 2, y, x]; // R, 0..1
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int p = x * 3;
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row[p + 0] = (byte)(b * 255.0f); // B
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row[p + 1] = (byte)(g * 255.0f); // G
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row[p + 2] = (byte)(r * 255.0f); // R
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}
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}
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}
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output = _outputMat;
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//ColorDebug.DumpAll(output, "C:\\Temp\\splitter-color-debug\\output");
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return true;
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}
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public int Flush(Span<Mat> outputFrames, CancellationToken token)
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{
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return 0;
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@ -23,7 +23,7 @@ public sealed class UltraFaceDetector: LoggingBase, IDisposable, IObjectDetector
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_ultraFace = UltraFace.Create(param);
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}
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public List<(Rect box, Point2f center)> DetectAll(Mat frameCont)
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public List<(Rect box, Point2f center)> DetectAll(SingleTask job, Mat frameCont)
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{
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// Convert to byte[] for UltraFace
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var bytesFull = frameCont.Rows * frameCont.Cols * frameCont.ElemSize();
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@ -78,7 +78,7 @@ public sealed class YoloOnnxObjectDetector : LoggingBase, IObjectDetector, IDisp
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_inputs.Add(NamedOnnxValue.CreateFromTensor(_inputName, _inputTensor));
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}
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public List<(Rect box, Point2f center)> DetectAll(Mat frameCont)
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public List<(Rect box, Point2f center)> DetectAll(SingleTask job, Mat frameCont)
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{
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if (frameCont.Empty())
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{
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