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After testing E_Distance.SaveGroupedFaceEncodings

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This commit is contained in:
Mike Phares
2022-08-07 12:29:46 -07:00
parent 2158b4cfc2
commit daf5f428b9
57 changed files with 2626 additions and 660 deletions
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18
FaceRecognitionDotNet/Dlib/Python/FaceRecognitionModelV1.cs
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@ -8,23 +8,23 @@ internal sealed class FaceRecognitionModelV1
#region Methods
public static Matrix<double> ComputeFaceDescriptor(LossMetric net, Image img, FullObjectDetection face, int numJitters)
public static Matrix<double> ComputeFaceDescriptor(LossMetric net, Image img, FullObjectDetection face, int numberOfJitters)
{
FullObjectDetection[]? faces = new[] { face };
return ComputeFaceDescriptors(net, img, faces, numJitters).First();
return ComputeFaceDescriptors(net, img, faces, numberOfJitters).First();
}
public static IEnumerable<Matrix<double>> ComputeFaceDescriptors(LossMetric net, Image img, IEnumerable<FullObjectDetection> faces, int numJitters)
public static IEnumerable<Matrix<double>> ComputeFaceDescriptors(LossMetric net, Image img, IEnumerable<FullObjectDetection> faces, int numberOfJitters)
{
Image[]? batchImage = new[] { img };
IEnumerable<FullObjectDetection>[]? batchFaces = new[] { faces };
return BatchComputeFaceDescriptors(net, batchImage, batchFaces, numJitters).First();
return BatchComputeFaceDescriptors(net, batchImage, batchFaces, numberOfJitters).First();
}
public static IEnumerable<IEnumerable<Matrix<double>>> BatchComputeFaceDescriptors(LossMetric net,
IList<Image> batchImages,
IList<IEnumerable<FullObjectDetection>> batchFaces,
int numJitters)
int numberOfJitters)
{
if (batchImages.Count != batchFaces.Count)
throw new ArgumentException("The array of images and the array of array of locations must be of the same size");
@ -60,7 +60,7 @@ internal sealed class FaceRecognitionModelV1
for (int i = 0, count = batchImages.Count; i < count; i++)
faceDescriptors.Add(new List<Matrix<double>>());
if (numJitters <= 1)
if (numberOfJitters <= 1)
{
// extract descriptors and convert from float vectors to double vectors
OutputLabels<Matrix<float>>? descriptors = net.Operator(faceChips, 16);
@ -80,7 +80,7 @@ internal sealed class FaceRecognitionModelV1
for (int i = 0; i < batchFaces.Count; ++i)
for (int j = 0; j < batchFaces[i].Count(); ++j)
{
Matrix<RgbPixel>[]? tmp = JitterImage(faceChips[index++], numJitters).ToArray();
Matrix<RgbPixel>[]? tmp = JitterImage(faceChips[index++], numberOfJitters).ToArray();
using (OutputLabels<Matrix<float>>? tmp2 = net.Operator(tmp, 16))
using (MatrixOp? mat = DlibDotNet.Dlib.Mat(tmp2))
{
@ -113,10 +113,10 @@ internal sealed class FaceRecognitionModelV1
private static readonly Rand _Rand = new();
private static IEnumerable<Matrix<RgbPixel>> JitterImage(Matrix<RgbPixel> img, int numJitters)
private static IEnumerable<Matrix<RgbPixel>> JitterImage(Matrix<RgbPixel> img, int numberOfJitters)
{
List<Matrix<RgbPixel>>? crops = new();
for (int i = 0; i < numJitters; ++i)
for (int i = 0; i < numberOfJitters; ++i)
crops.Add(DlibDotNet.Dlib.JitterImage(img, _Rand));
return crops;