private static void RunOptions(FaceRecognitionParams facePars)
{
//var c = new CudaFaceEyeDetector("a", "b");
var surveillance = new Surveillance(
VideoGrabFactory.GetMockCamera(facePars.TestSet), new FileSystemDAL(facePars.DataSet), facePars.Confidence);
surveillance.EnsureTrained();
surveillance.Start();
//RunTestData(surveillance, DebugHelper.OutputPath);
Console.ReadKey();
}
private static void RunOptions(FaceRecognitionParams facePars)
{
var images = GetImages(facePars.DataSet).ToList();
var detectionModule = new DetectionModule(facePars);
var faces = detectionModule
.GetFaces(images)
.Select(f => (GetPersonName(f.Item1), f.Item2))
.ToList();
var labelMap = new LabelMap(faces.Select(f => f.Item1).Distinct());
var labeledFaces = faces.Select(f => (labelMap.Map[f.Item1], f.Item2));
var testImages = GetImages(facePars.TestSet).ToList();
var recognitionModule = new FaceRecognitionModule();
recognitionModule.Train(labeledFaces.ToList(), facePars.Embeddings);
foreach (var(name, bytes) in testImages)
{
var testImg = detectionModule.ProcessImage(bytes);
var prediction = recognitionModule.Predict(testImg);
Console.WriteLine($"Img name : {name} Prediction: {labelMap.ReverseMap[prediction.Label]}, Dist : {prediction.Distance}");
}
}
