public IHttpActionResult Recognition(DetectionViewModel detectionViewModel)
{
var faceBitmap = detectionViewModel.GetImage();
var personsOnImage = _faceDetectionLibrary.FaceRecognition(faceBitmap);
if (personsOnImage == null)
{
return(BadRequest("No faces found."));
}
else if (personsOnImage.Count == 0)
{
return(BadRequest("Face recognition could not found any persons on image."));
}
else if (personsOnImage.Count == 1)
{
var personOnImage = personsOnImage.First();
if (personOnImage.RecognitionStatus == FaceRecognitionStatus.FaceRecognitionFailure ||
personOnImage.RecognitionStatus == FaceRecognitionStatus.FaceRecognitionError)
{
if (personOnImage.PersonOnFace == null)
{
return(BadRequest("Face recognition failed with eigen distance " + personOnImage.EigenDistance + "."));
}
else
{
return(BadRequest("Face recognition failed with eigen distance " + personOnImage.EigenDistance +
". Presumed person on image is: " + personOnImage.PersonOnFace.FirstName + " " + personOnImage.PersonOnFace.LastName));
}
}
}
return(Ok(personsOnImage));
}
public async Task <IActionResult> FileUpload(List <IFormFile> files)
{
if (files.Count != 1)
{
return(this.View(nameof(this.Index)));
}
var formFile = files.First();
var model = new DetectionViewModel();
await using var ms = new MemoryStream();
await formFile.OpenReadStream().CopyToAsync(ms);
using var bitmap = Image.FromStream(ms);
var data = ImageHelper.ConvertToBase64(ms.ToArray());
var width = bitmap.Width;
var height = bitmap.Height;
model.Image = new ImageViewModel(formFile.FileName, data, width, height);
var areas = new List <DetectAreaModel>();
var detect = this._FaceDetectionService.Locations(ms.ToArray());
if (detect != null)
{
areas.AddRange(detect);
}
model.DetectAreas = areas.ToArray();
return(this.View(nameof(this.Index), model));
}
public DetectionViewModel Detect(DetectionViewModel detectionViewModel)
{
var faceBitmap = detectionViewModel.GetImage();
var faces = _faceDetectionLibrary.FindFaces(faceBitmap);
faceBitmap = _faceDetectionLibrary.DrawFacesBoundsOnBitmap(faceBitmap, faces);
detectionViewModel = DetectionViewModel.Build(faceBitmap);
return(detectionViewModel);
}
