public async Task <string> FaceAnalyzerAsync(IFormFile photoFile, string collectionID)
{
MemoryStream memoryStream = new MemoryStream();
photoFile.CopyTo(memoryStream);
IndexFacesRequest indexFacesRequest = new IndexFacesRequest
{
CollectionId = collectionID,
DetectionAttributes = detectionAttributes,
MaxFaces = maxFaces,
QualityFilter = qualityFilter,
Image = new Image
{
Bytes = memoryStream,
}
};
IndexFacesResponse indexFacesResponse = await this._amazonRekognition.IndexFacesAsync(indexFacesRequest);
if (indexFacesResponse.HttpStatusCode != System.Net.HttpStatusCode.OK)
{
throw new Exception(indexFacesResponse.HttpStatusCode.ToString());
}
if (indexFacesResponse.UnindexedFaces.Count > 0 || indexFacesResponse.FaceRecords.Count != 1)
{
throw new Exception("Unindexed Faces: " + indexFacesResponse.UnindexedFaces.Count + "\nIndexed Faces: " + indexFacesResponse.FaceRecords.Count);
}
return(JsonSerializer.Serialize(indexFacesResponse.FaceRecords[0].FaceDetail.Emotions));
}
/// <summary>
/// Unmarshaller the response from the service to the response class.
/// </summary>
/// <param name="context"></param>
/// <returns></returns>
public override AmazonWebServiceResponse Unmarshall(JsonUnmarshallerContext context)
{
IndexFacesResponse response = new IndexFacesResponse();
context.Read();
int targetDepth = context.CurrentDepth;
while (context.ReadAtDepth(targetDepth))
{
if (context.TestExpression("FaceModelVersion", targetDepth))
{
var unmarshaller = StringUnmarshaller.Instance;
response.FaceModelVersion = unmarshaller.Unmarshall(context);
continue;
}
if (context.TestExpression("FaceRecords", targetDepth))
{
var unmarshaller = new ListUnmarshaller <FaceRecord, FaceRecordUnmarshaller>(FaceRecordUnmarshaller.Instance);
response.FaceRecords = unmarshaller.Unmarshall(context);
continue;
}
if (context.TestExpression("OrientationCorrection", targetDepth))
{
var unmarshaller = StringUnmarshaller.Instance;
response.OrientationCorrection = unmarshaller.Unmarshall(context);
continue;
}
}
return(response);
}
/// <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());
}
private List <FaceRecord> PopulateCollection()
{
Console.WriteLine("Populating collection {0}: ", CollectionName);
List <FaceRecord> result = new List <FaceRecord>();
foreach (var entry in DataSet.TargetImages)
{
Console.WriteLine("Processing image: {0}", entry.Key);
MemoryStream stream = new MemoryStream();
entry.Value.Save(stream, System.Drawing.Imaging.ImageFormat.Jpeg);
Image requestImage = new Image()
{
Bytes = stream
};
IndexFacesRequest request = new IndexFacesRequest()
{
Image = requestImage,
CollectionId = CollectionName
};
var watch = Stopwatch.StartNew();
IndexFacesResponse response = Client.IndexFaces(request);
watch.Stop();
TimingResults.Add(new TimingModel("PopulateCollection", entry.Key, watch.ElapsedMilliseconds));
IndexedFaces.Add(response);
result.AddRange(response.FaceRecords);
}
Console.WriteLine("Detected {0} faces in {1} images.", result.Count, DataSet.TargetImages.Count);
return(result);
}
private static void IndexPhoto(string photo)
{
Console.WriteLine("Attempting to index S3 photo file " + photo);
Image image = new Image()
{
S3Object = new S3Object()
{
Bucket = bucket,
Name = photo
}
};
IndexFacesRequest request = new IndexFacesRequest()
{
Image = image,
CollectionId = collectionId,
ExternalImageId = photo,
DetectionAttributes = new List <String>()
{
"ALL"
}
};
IndexFacesResponse response = rekognitionClient.IndexFacesAsync(request).Result;
Console.WriteLine(photo + " added");
foreach (FaceRecord faceRecord in response.FaceRecords)
{
Console.WriteLine("Face detected: Faceid is " +
faceRecord.Face.FaceId);
}
}
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());
}
/// <summary>
/// This function add images to the dyFace Collection
/// Function Name: "dyFaceRekognitionAddToCollection"
/// </summary>
/// <param name="input"></param>
/// <param name="context"></param>
/// <returns></returns>
public async Task <List <string> > AddToCollection(string input, ILambdaContext context)
{
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
String collectionId = "dyFaceCollection";
List <string> collectionIds = await GetCollections(rekognitionClient);
List <string> reasons = new List <string>();
//error handling
if (!collectionIds.Contains(collectionId))
{
int createCollectionResponse = await CreateCollection(rekognitionClient, collectionId);
if (createCollectionResponse < 200 || createCollectionResponse > 299)
{
reasons.Add("Failure Creating Collection = " + createCollectionResponse);
return(reasons);
}
}
IndexFacesRequest indexFacesRequest = new IndexFacesRequest()
{
Image =
{
S3Object = new S3Object()
{
Bucket = "dyface-test-bucket",
Name = input
}
},
CollectionId = collectionId,
ExternalImageId = input,
DetectionAttributes = new List <String>()
{
"ALL"
}
};
IndexFacesResponse indexFacesResponse = await rekognitionClient.IndexFacesAsync(indexFacesRequest);
foreach (UnindexedFace unindexedFace in indexFacesResponse.UnindexedFaces)
{
reasons.Add(unindexedFace.Reasons.ToString());
}
return(reasons);
}
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 async void Addface()
{
String collectionId = "faceCollection";
String bucket = "face-identify";
String photo = "BrotherP.jpg";
string accessKey = "AKIAST4HFDODRNXMOAPJ";
string secretKey = "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";
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient(accessKey, secretKey, Amazon.RegionEndpoint.APSoutheast1);
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 = await rekognitionClient.IndexFacesAsync(indexFacesRequest);
Console.WriteLine(photo + " added");
foreach (FaceRecord faceRecord in indexFacesResponse.FaceRecords)
{
Console.WriteLine("Face detected: Faceid is " +
faceRecord.Face.FaceId);
}
}
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);
}
}
// snippet-start:[Rekognition.dotnetv3.AddFacesExample]
public static async Task Main()
{
string collectionId = "MyCollection2";
string bucket = "doc-example-bucket";
string photo = "input.jpg";
var rekognitionClient = new AmazonRekognitionClient();
var image = new Image
{
S3Object = new S3Object
{
Bucket = bucket,
Name = photo,
},
};
var indexFacesRequest = new IndexFacesRequest
{
Image = image,
CollectionId = collectionId,
ExternalImageId = photo,
DetectionAttributes = new List <string>()
{
"ALL"
},
};
IndexFacesResponse indexFacesResponse = await rekognitionClient.IndexFacesAsync(indexFacesRequest);
Console.WriteLine($"{photo} added");
foreach (FaceRecord faceRecord in indexFacesResponse.FaceRecords)
{
Console.WriteLine($"Face detected: Faceid is {faceRecord.Face.FaceId}");
}
}
/// <summary>
///
/// </summary>
/// <param name="input"></param>
/// <param name="context"></param>
/// <returns></returns>
public async Task FunctionHandler(S3Event input, ILambdaContext context)
{
// Initialize the Amazon Cognito credentials provider
CognitoAWSCredentials credentials = new CognitoAWSCredentials(
"us-east-1:6d711ae9-1084-4a71-9ef6-7551ca74ad0b", // Identity pool ID
RegionEndpoint.USEast1 // Region
);
dynamoDbClient = new AmazonDynamoDBClient(credentials, RegionEndpoint.USEast1);
Table customersTbl = Table.LoadTable(dynamoDbClient, "Customer");
AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
IAmazonS3 s3Client = new AmazonS3Client(RegionEndpoint.USEast2);
//Debug.WriteLine("Creating collection: " + FACE_COLLECTION_ID);
//CreateCollectionRequest createCollectionRequest = new CreateCollectionRequest()
//{
// CollectionId = FACE_COLLECTION_ID
//};
//CreateCollectionResponse createCollectionResponse = rekognitionClient.CreateCollectionAsync(createCollectionRequest).Result;
//Debug.WriteLine("CollectionArn : " + createCollectionResponse.CollectionArn);
//Debug.WriteLine("Status code : " + createCollectionResponse.StatusCode);
foreach (var record in input.Records)
{
//if(!SupportedImageTypes.Contains(Path.GetExtension(record.S3.Object.Key)))
//{
// Debug.WriteLine($"Object {record.S3.Bucket.Name}:{record.S3.Object.Key} is not a supported image type");
// continue;
//}
Image image = new Image()
{
S3Object = new Amazon.Rekognition.Model.S3Object
{
Bucket = record.S3.Bucket.Name,
Name = record.S3.Object.Key
}
};
GetObjectTaggingResponse taggingResponse = s3Client.GetObjectTaggingAsync(
new GetObjectTaggingRequest
{
BucketName = record.S3.Bucket.Name,
Key = record.S3.Object.Key
}
).Result;
Tag customerID = taggingResponse.Tagging[0];//TODO: HARDCODING!!
IndexFacesRequest indexFacesRequest = new IndexFacesRequest()
{
Image = image,
CollectionId = FACE_COLLECTION_ID,
ExternalImageId = record.S3.Object.Key,
DetectionAttributes = new List <String>()
{
"ALL"
}
};
IndexFacesResponse indexFacesResponse = rekognitionClient.IndexFacesAsync(indexFacesRequest).Result;
Debug.WriteLine(record.S3.Object.Key + " added");
foreach (FaceRecord faceRecord in indexFacesResponse.FaceRecords)
{
Debug.WriteLine("Face detected: Faceid is " + faceRecord.Face.FaceId);
Console.WriteLine("\nAfter Indexing, Updating FaceID of the Customer....");
string partitionKey = customerID.Value;
var customer = new Document();
customer["Id"] = Int32.Parse(partitionKey);
// List of attribute updates.
// The following replaces the existing authors list.
customer["FaceId"] = faceRecord.Face.FaceId;
// Optional parameters.
UpdateItemOperationConfig config = new UpdateItemOperationConfig
{
// Get updated item in response.
ReturnValues = ReturnValues.AllNewAttributes
};
Document updatedCustomer = customersTbl.UpdateItemAsync(customer, config).Result;
Console.WriteLine("UpdateMultipleAttributes: Printing item after updates ...");
PrintDocument(updatedCustomer);
}
}
return;
}
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 }));
}
}
