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This commit is contained in:
Mike Phares
2023-10-20 19:37:19 -07:00
parent b54ea97c67
commit a4a92aacd2
68 changed files with 703 additions and 553 deletions
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8
FaceRecognitionDotNet/Dlib/Python/CnnFaceDetectionModelV1.cs
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@ -12,7 +12,7 @@ internal sealed class CnnFaceDetectionModelV1
public static IEnumerable<MModRect> Detect(LossMmod net, Image image, int upsampleNumTimes)
{
using PyramidDown? pyr = new(2);
List<MModRect>? rects = new();
List<MModRect>? rects = [];
// Copy the data into dlib based objects
using Matrix<RgbPixel>? matrix = new();
@ -52,8 +52,8 @@ internal sealed class CnnFaceDetectionModelV1
public static IEnumerable<IEnumerable<MModRect>> DetectMulti(LossMmod net, IEnumerable<Image> images, int upsampleNumTimes, int batchSize = 128)
{
List<Matrix<RgbPixel>>? destImages = new();
List<IEnumerable<MModRect>>? allRects = new();
List<Matrix<RgbPixel>>? destImages = [];
List<IEnumerable<MModRect>>? allRects = [];
try
{
@ -86,7 +86,7 @@ internal sealed class CnnFaceDetectionModelV1
OutputLabels<IEnumerable<MModRect>>? dets = net.Operator(destImages, (ulong)batchSize);
foreach (IEnumerable<MModRect>? det in dets)
{
List<MModRect>? rects = new();
List<MModRect>? rects = [];
foreach (MModRect? d in det)
{
DRectangle drect = pyr.RectDown(new DRectangle(d.Rect), (uint)upsampleNumTimes);

14
FaceRecognitionDotNet/Dlib/Python/FaceRecognitionModelV1.cs
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@ -10,14 +10,14 @@ internal sealed class FaceRecognitionModelV1
public static Matrix<double> ComputeFaceDescriptor(LossMetric net, Image img, FullObjectDetection face, int numberOfJitters)
{
FullObjectDetection[]? faces = new[] { face };
FullObjectDetection[]? faces = [face];
return ComputeFaceDescriptors(net, img, faces, numberOfJitters).First();
}
public static IEnumerable<Matrix<double>> ComputeFaceDescriptors(LossMetric net, Image img, IEnumerable<FullObjectDetection> faces, int numberOfJitters)
{
Image[]? batchImage = new[] { img };
IEnumerable<FullObjectDetection>[]? batchFaces = new[] { faces };
Image[]? batchImage = [img];
IEnumerable<FullObjectDetection>[]? batchFaces = [faces];
return BatchComputeFaceDescriptors(net, batchImage, batchFaces, numberOfJitters).First();
}
@ -37,7 +37,7 @@ internal sealed class FaceRecognitionModelV1
}
List<Array<Matrix<RgbPixel>>>? faceChipsArray = new(batchImages.Count);
List<Matrix<RgbPixel>>? faceChips = new();
List<Matrix<RgbPixel>>? faceChips = [];
for (int i = 0; i < batchImages.Count; ++i)
{
IEnumerable<FullObjectDetection>? faces = batchFaces[i];
@ -56,9 +56,9 @@ internal sealed class FaceRecognitionModelV1
det.Dispose();
}
List<List<Matrix<double>>>? faceDescriptors = new();
List<List<Matrix<double>>>? faceDescriptors = [];
for (int i = 0, count = batchImages.Count; i < count; i++)
faceDescriptors.Add(new List<Matrix<double>>());
faceDescriptors.Add([]);
if (numberOfJitters <= 1)
{
@ -115,7 +115,7 @@ internal sealed class FaceRecognitionModelV1
private static IEnumerable<Matrix<RgbPixel>> JitterImage(Matrix<RgbPixel> img, int numberOfJitters)
{
List<Matrix<RgbPixel>>? crops = new();
List<Matrix<RgbPixel>>? crops = [];
for (int i = 0; i < numberOfJitters; ++i)
crops.Add(DlibDotNet.Dlib.JitterImage(img, _Rand));

6
FaceRecognitionDotNet/Dlib/Python/SimpleObjectDetector.cs
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@ -15,7 +15,7 @@ internal sealed class SimpleObjectDetector
List<double> detectionConfidences,
List<ulong> weightIndices)
{
List<Rectangle>? rectangles = new();
List<Rectangle>? rectangles = [];
if (img.Mode == Mode.Greyscale)
{
@ -127,8 +127,8 @@ internal sealed class SimpleObjectDetector
detector.ThrowIfDisposed();
image.ThrowIfDisposed();
List<double>? detectionConfidences = new();
List<ulong>? weightIndices = new();
List<double>? detectionConfidences = [];
List<ulong>? weightIndices = [];
const double adjustThreshold = 0.0;
Rectangle[]? rects = RunDetectorWithUpscale1(detector,