Added Class Library FaceRecognitionDotNet
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129
FaceRecognitionDotNet/Dlib/Python/FaceRecognitionModelV1.cs
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129
FaceRecognitionDotNet/Dlib/Python/FaceRecognitionModelV1.cs
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using DlibDotNet;
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using DlibDotNet.Dnn;
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namespace View_by_Distance.FaceRecognitionDotNet.Dlib.Python;
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internal sealed class FaceRecognitionModelV1
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{
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#region Methods
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public static Matrix<double> ComputeFaceDescriptor(LossMetric net, Image img, FullObjectDetection face, int numJitters)
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{
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FullObjectDetection[]? faces = new[] { face };
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return ComputeFaceDescriptors(net, img, faces, numJitters).First();
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}
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public static IEnumerable<Matrix<double>> ComputeFaceDescriptors(LossMetric net, Image img, IEnumerable<FullObjectDetection> faces, int numJitters)
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{
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Image[]? batchImage = new[] { img };
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IEnumerable<FullObjectDetection>[]? batchFaces = new[] { faces };
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return BatchComputeFaceDescriptors(net, batchImage, batchFaces, numJitters).First();
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}
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public static IEnumerable<IEnumerable<Matrix<double>>> BatchComputeFaceDescriptors(LossMetric net,
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IList<Image> batchImages,
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IList<IEnumerable<FullObjectDetection>> batchFaces,
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int numJitters)
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{
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if (batchImages.Count != batchFaces.Count)
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throw new ArgumentException("The array of images and the array of array of locations must be of the same size");
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foreach (IEnumerable<FullObjectDetection>? faces in batchFaces)
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foreach (FullObjectDetection? f in faces)
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{
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if (f.Parts is not 68 and not 5)
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throw new ArgumentException("The full_object_detection must use the iBUG 300W 68 point face landmark style or dlib's 5 point style.");
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}
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List<Array<Matrix<RgbPixel>>>? faceChipsArray = new(batchImages.Count);
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List<Matrix<RgbPixel>>? faceChips = new();
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for (int i = 0; i < batchImages.Count; ++i)
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{
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IEnumerable<FullObjectDetection>? faces = batchFaces[i];
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Image? img = batchImages[i];
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List<ChipDetails>? dets = new(faces.Count());
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foreach (FullObjectDetection? f in faces)
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dets.Add(DlibDotNet.Dlib.GetFaceChipDetails(f, 150, 0.25));
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Array<Matrix<RgbPixel>>? thisImageFaceChips = DlibDotNet.Dlib.ExtractImageChips<RgbPixel>(img.Matrix, dets);
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foreach (Matrix<RgbPixel>? chip in thisImageFaceChips)
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faceChips.Add(chip);
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faceChipsArray.Add(thisImageFaceChips);
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foreach (ChipDetails? det in dets)
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det.Dispose();
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}
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List<List<Matrix<double>>>? faceDescriptors = new();
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for (int i = 0, count = batchImages.Count; i < count; i++)
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faceDescriptors.Add(new List<Matrix<double>>());
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if (numJitters <= 1)
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{
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// extract descriptors and convert from float vectors to double vectors
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OutputLabels<Matrix<float>>? descriptors = net.Operator(faceChips, 16);
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int index = 0;
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Matrix<float>[]? list = descriptors.Select(matrix => matrix).ToArray();
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for (int i = 0; i < batchFaces.Count; ++i)
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for (int j = 0; j < batchFaces[i].Count(); ++j)
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faceDescriptors[i].Add(DlibDotNet.Dlib.MatrixCast<double>(list[index++]));
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if (index != list.Length)
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throw new ApplicationException();
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}
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else
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{
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// extract descriptors and convert from float vectors to double vectors
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int index = 0;
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for (int i = 0; i < batchFaces.Count; ++i)
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for (int j = 0; j < batchFaces[i].Count(); ++j)
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{
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Matrix<RgbPixel>[]? tmp = JitterImage(faceChips[index++], numJitters).ToArray();
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using (OutputLabels<Matrix<float>>? tmp2 = net.Operator(tmp, 16))
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using (MatrixOp? mat = DlibDotNet.Dlib.Mat(tmp2))
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{
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Matrix<double>? r = DlibDotNet.Dlib.Mean<double>(mat);
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faceDescriptors[i].Add(r);
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}
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foreach (Matrix<RgbPixel>? matrix in tmp)
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matrix.Dispose();
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}
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if (index != faceChips.Count)
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throw new ApplicationException();
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}
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if (faceChipsArray.Any())
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{
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foreach (Array<Matrix<RgbPixel>>? array in faceChipsArray)
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{
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foreach (Matrix<RgbPixel>? faceChip in array)
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faceChip.Dispose();
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array.Dispose();
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}
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}
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return faceDescriptors;
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}
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#region Helpers
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private static readonly Rand _Rand = new();
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private static IEnumerable<Matrix<RgbPixel>> JitterImage(Matrix<RgbPixel> img, int numJitters)
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{
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List<Matrix<RgbPixel>>? crops = new();
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for (int i = 0; i < numJitters; ++i)
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crops.Add(DlibDotNet.Dlib.JitterImage(img, _Rand));
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return crops;
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}
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#endregion
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#endregion
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}
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