/// <summary>
/// Add All detected faces to a specific collection
/// </summary>
/// <param name="collectionId"></param>
/// <param name="imageId"></param>
/// <param name="image"></param>
public FaceRecord AddImageToCollection(string collectionId, Amazon.Rekognition.Model.Image image)
{
AmazonRekognitionClient rekognitionClient = AmazonClient.GetInstance();
//Validate that image contains only one face.
DetectFacesResponse detectFacesResponse = rekognitionClient.DetectFaces(new Amazon.Rekognition.Model.DetectFacesRequest
{
Attributes = new List <string> {
"ALL"
},
Image = image
});
if (null != detectFacesResponse.FaceDetails && detectFacesResponse.FaceDetails.Count > 1)
{
throw new ArgumentNullException("Many faces in the image");
}
IndexFacesRequest indexFacesRequest = new IndexFacesRequest()
{
Image = image,
CollectionId = collectionId,
DetectionAttributes = new List <String>()
{
"ALL"
}
};
IndexFacesResponse indexFacesResponse = rekognitionClient.IndexFaces(indexFacesRequest);
return(indexFacesResponse.FaceRecords.FirstOrDefault());
}
public static void AddFace(string _externalImageId, string _collectionId)
{
try
{
string photo = _externalImageId;
string collectionId = _collectionId;
using (rekognitionClient = new AmazonRekognitionClient(collectionRegion))
{
AddingFace();
}
void AddingFace()
{
Image image = new Image()
{
S3Object = new S3Object()
{
Bucket = bucket,
Name = photo
}
};
IndexFacesRequest indexFacesRequest = new IndexFacesRequest()
{
Image = image,
CollectionId = collectionId,
ExternalImageId = photo,
DetectionAttributes = new List <String>()
{
"ALL"
}
};
IndexFacesResponse indexFacesResponse = rekognitionClient.IndexFaces(indexFacesRequest);
Console.WriteLine(photo + " added");
foreach (FaceRecord faceRecord in indexFacesResponse.FaceRecords)
{
Console.WriteLine("Face detected: Faceid is " +
faceRecord.Face.FaceId);
}
}
}
catch (AmazonRekognitionException e)
{
Console.WriteLine("AmazonRekognitionException: " + e);
}
catch (Exception e)
{
Console.WriteLine("Error: " + e);
}
}
public ActionResult Index(ImageTrainModel model)
{
if (!ModelState.IsValid)
{
return(View(model));
}
try
{
using (Stream inputStream = model.File.InputStream)
{
MemoryStream memoryStream = inputStream as MemoryStream;
if (memoryStream == null)
{
memoryStream = new MemoryStream();
inputStream.CopyTo(memoryStream);
}
var collectionsList = client.ListCollections(new ListCollectionsRequest {
MaxResults = 10
});
//client.CreateCollection(new CreateCollectionRequest
//{
// CollectionId = "TrainedImages"
//});
IndexFacesRequest indexFacesRequest = new IndexFacesRequest()
{
Image = new Image
{
Bytes = memoryStream
},
CollectionId = "TrainedImages",
ExternalImageId = model.Name,
DetectionAttributes = new List <String>()
{
"ALL"
}
};
IndexFacesResponse indexFacesResponse = client.IndexFaces(indexFacesRequest);
if (indexFacesResponse.HttpStatusCode == System.Net.HttpStatusCode.OK)
{
ViewBag.Message = "Image trained successfully";
}
}
}
catch (Exception ex)
{
ViewBag.Message = ex.Message.ToString();
}
return(View());
}
public List <FaceRecord> Recognize(string collectionId, Amazon.Rekognition.Model.Image image)
{
//1- Detect faces in the input image and adds them to the specified collection.
AmazonRekognitionClient rekognitionClient = AmazonClient.GetInstance();
IndexFacesRequest indexFacesRequest = new IndexFacesRequest()
{
Image = image,
CollectionId = collectionId,
DetectionAttributes = new List <String>()
{
"DEFAULT"
}
};
IndexFacesResponse indexFacesResponse = rekognitionClient.IndexFaces(indexFacesRequest);
//2- Search all detected faces in the collection
SearchFacesResponse searchFacesResponse = null;
List <FaceRecord> matchedFaces = new List <FaceRecord>();
if (null != indexFacesResponse && null != indexFacesResponse.FaceRecords && 0 != indexFacesResponse.FaceRecords.Count)
{
foreach (FaceRecord face in indexFacesResponse.FaceRecords)
{
searchFacesResponse = rekognitionClient.SearchFaces(new SearchFacesRequest
{
CollectionId = collectionId,
FaceId = face.Face.FaceId,
FaceMatchThreshold = 70F,
MaxFaces = 2
});
if (searchFacesResponse.FaceMatches != null && searchFacesResponse.FaceMatches.Count != 0)
{
matchedFaces.Add(face);
}
}
//Remove newly added faces to the collection
_collectionService.RemoveFacesFromCollection(collectionId, indexFacesResponse.FaceRecords.Select(x => x.Face.FaceId).ToList());
}
return(matchedFaces);
}
public static void Example()
{
String collectionId = "MyCollection";
String bucket = "bucket";
String photo = "input.jpg";
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
Image image = new Image()
{
S3Object = new S3Object()
{
Bucket = bucket,
Name = photo
}
};
IndexFacesRequest indexFacesRequest = new IndexFacesRequest()
{
Image = image,
CollectionId = collectionId,
ExternalImageId = photo,
DetectionAttributes = new List <String>()
{
"ALL"
}
};
IndexFacesResponse indexFacesResponse = rekognitionClient.IndexFaces(indexFacesRequest);
Console.WriteLine(photo + " added");
foreach (FaceRecord faceRecord in indexFacesResponse.FaceRecords)
{
Console.WriteLine("Face detected: Faceid is " +
faceRecord.Face.FaceId);
}
}
public void RekognitionIndexFaces()
{
#region to-add-a-face-to-a-collection-1482179542923
var client = new AmazonRekognitionClient();
var response = client.IndexFaces(new IndexFacesRequest
{
CollectionId = "myphotos",
DetectionAttributes = new List <string> {
},
ExternalImageId = "myphotoid",
Image = new Image {
S3Object = new S3Object {
Bucket = "mybucket",
Name = "myphoto"
}
}
});
List <FaceRecord> faceRecords = response.FaceRecords;
string orientationCorrection = response.OrientationCorrection;
#endregion
}
public ActionResult IndexFaceUpload(Arquivo arquivo, string Nome)
{
try
{
string Semelhanca = string.Empty;
string input = string.Empty;
HttpPostedFileBase arquivoPostado = null;
foreach (string fileInputName in Request.Files)
{
var nome = arquivo.NomeLocal;
arquivoPostado = Request.Files[fileInputName];
var target = new MemoryStream();
arquivoPostado.InputStream.CopyTo(target);
arquivo.Conteudo = target.ToArray();
arquivo.UsuarioInclusao = CustomAuthorizationProvider.UsuarioAutenticado.Login;
arquivo.DataInclusao = DateTime.Now;
arquivo.Extensao = Path.GetExtension(arquivoPostado.FileName);
arquivo.NomeLocal = arquivoPostado.FileName;
byte[] inputImageData = arquivo.Conteudo;
var inputImageStream = new MemoryStream(inputImageData);
var item = arquivo.Conteudo;
input = Nome.Trim().Replace(" ", "") + ".jpg";
var rekognitionClient = new AmazonRekognitionClient("AKIAIBLZ7KFAN6XG3NNA", "2nukFOTDN0zv/y2tzeCiLrAHM5TwbFgvEqqZA9zn", RegionEndpoint.USWest2);
Image image = new Image()
{
Bytes = inputImageStream
};
IndexFacesRequest indexFacesRequest = new IndexFacesRequest()
{
Image = image,
CollectionId = "Encel",
ExternalImageId = input,
DetectionAttributes = new List <String>()
{
"ALL"
}
};
try
{
IndexFacesResponse indexFacesResponse = rekognitionClient.IndexFaces(indexFacesRequest);
}
catch (Exception)
{
throw new Exception("Imagem não Indexada!");
}
}
if (input != null)
{
return(Json(new { sucesso = "O Empregado '" + input + "' foi analisado com êxito." }));
}
else
{
return(Json(new { sucesso = "Empregado não encontrado!" }));
}
}
catch (Exception ex)
{
return(Json(new { erro = ex.Message }));
}
}
