public async Task <IList <DetectedFace> > DetectFaces(string imageBase64)
{
IList <FaceAttributeType> faceAttributes =
new FaceAttributeType[]
{
FaceAttributeType.Gender, FaceAttributeType.Age,
FaceAttributeType.Smile, FaceAttributeType.Emotion,
FaceAttributeType.Glasses, FaceAttributeType.Hair
};
try
{
var bytes = Convert.FromBase64String(imageBase64.Substring(imageBase64.LastIndexOf(',') + 1));
using (var stream = new MemoryStream(bytes))
{
IList <DetectedFace> faceList =
await FaceClient.Face.DetectWithStreamAsync(
stream, true, true, faceAttributes);
return(faceList);
}
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
return(new List <DetectedFace>());
}
}
//Incarca imaginea si apeleaza Detect Faces
private async Task <Face[]> UploadAndDetectFaces(string imageFilePath)
{
//Lista atributelor fetei ce se returneaza
IEnumerable <FaceAttributeType> faceAttributes =
new FaceAttributeType[] { FaceAttributeType.Gender, FaceAttributeType.Age, FaceAttributeType.Smile, FaceAttributeType.Emotion, FaceAttributeType.Glasses, FaceAttributeType.Hair };
//Apeleaza Face APIC
try
{
using (Stream imageFileStream = File.OpenRead(imageFilePath))
{
Face[] faces = await faceServiceClient.DetectAsync(imageFileStream, returnFaceId : true, returnFaceLandmarks : false, returnFaceAttributes : faceAttributes);
return(faces);
}
}
//API error handling
catch (FaceAPIException f)
{
MessageBox.Show(f.ErrorMessage, f.ErrorCode);
return(new Face[0]);
}
//Error handling general
catch (Exception e)
{
MessageBox.Show(e.Message, "Error");
return(new Face[0]);
}
}
private async void imgPhoto_ImageOpened(object sender, RoutedEventArgs e)
{
size_image = new Size((imgPhoto.Source as BitmapImage).PixelWidth, (imgPhoto.Source as BitmapImage).PixelHeight);
var f_client = new FaceClient(
new ApiKeyServiceClientCredentials(key_face),
new System.Net.Http.DelegatingHandler[] { }); // need to provide and endpoint and a delegate. key_face, face_apiroot);
f_client.Endpoint = face_apiroot;
var requiedFaceAttributes = new FaceAttributeType[] {
FaceAttributeType.Age,
FaceAttributeType.Gender,
FaceAttributeType.Smile,
FaceAttributeType.FacialHair,
FaceAttributeType.HeadPose,
FaceAttributeType.Emotion,
FaceAttributeType.Glasses
};
var faces_task = await f_client.Face.DetectWithUrlAsync(txtLocation.Text, true, true, requiedFaceAttributes);
faces = faces_task.ToArray();
if (faces != null)
{
DisplayFacesData(faces);
DisplayEmotionsData(faces);
}
ringLoading.IsActive = false;
}
private async Task <Face[]> UploadAndDetectFaces(string imageFilePath)
{
// The list of Face attributes to return.
IEnumerable <FaceAttributeType> faceAttributes =
new FaceAttributeType[] { FaceAttributeType.Gender, FaceAttributeType.Age, FaceAttributeType.Smile, FaceAttributeType.Emotion, FaceAttributeType.Glasses, FaceAttributeType.Hair };
// Call the Face API.
try
{
using (Stream imageFileStream = File.OpenRead(imageFilePath))
{
Face[] faces = await faceServiceClient.DetectAsync(imageFileStream, returnFaceId : true, returnFaceLandmarks : false, returnFaceAttributes : faceAttributes);
return(faces);
}
}
// Catch and display Face API errors.
catch (FaceAPIException f)
{
MessageBox.Show(f.ErrorMessage, f.ErrorCode);
return(new Face[0]);
}
// Catch and display all other errors.
catch (Exception e)
{
MessageBox.Show(e.Message, "Error");
return(new Face[0]);
}
}
public async Task <Respuesta> SetFoto([FromBody] FotoRequest value)
// public async Task<IHttpActionResult>
{
if (value == null)
{
return(new Respuesta
{
mensaje = "Error no se obtuvo datos",
validacion = false
});
}
;
IEnumerable <FaceAttributeType> faceAttributes =
new FaceAttributeType[] { FaceAttributeType.Gender,
FaceAttributeType.Age, FaceAttributeType.Smile,
FaceAttributeType.Emotion, FaceAttributeType.Glasses,
FaceAttributeType.Hair };
// Call the Face API.
using (Stream imageFileStream = new MemoryStream(value.Array))
{
faces = await faceServiceClient.DetectAsync(imageFileStream, returnFaceId : true, returnFaceLandmarks : false, returnFaceAttributes : faceAttributes);
}
return(new Respuesta
{
mensaje = faces[0].FaceAttributes.Age.ToString(),
validacion = true
});
}
private async Task <IList <DetectedFace> > UploadAndDetectFaces(string imageFilePath)
{
IList <FaceAttributeType> faceAttributes =
new FaceAttributeType[]
{
FaceAttributeType.Gender, FaceAttributeType.Age,
FaceAttributeType.Smile, FaceAttributeType.Emotion,
FaceAttributeType.Glasses, FaceAttributeType.Hair
};
try
{
using (Stream imageFileStream = File.OpenRead(imageFilePath))
{
IList <DetectedFace> faceList = await faceClient.Face.DetectWithStreamAsync(imageFileStream, true, false, faceAttributes);
return(faceList);
}
}
catch (APIErrorException f)
{
MessageBox.Show(f.Message);
return(new List <DetectedFace>());
}
catch (Exception e)
{
MessageBox.Show(e.Message, "Error");
return(new List <DetectedFace>());
}
}
// </snippet_browsebuttonclick_end>
// <snippet_mousemove_start>
// Displays the face description when the mouse is over a face rectangle.
private async Task <IList <DetectedFace> > UploadAndDetectFaces(string imageFilePath)
{
// The list of Face attributes to return.
IList <FaceAttributeType> faceAttributes =
new FaceAttributeType[]
{
//FaceAttributeType.Gender, FaceAttributeType.Age,
//FaceAttributeType.Smile, FaceAttributeType.Emotion,
//FaceAttributeType.Glasses, FaceAttributeType.Hair,
FaceAttributeType.HeadPose
};
// Call the Face API.
try {
using (Stream imageFileStream = File.OpenRead(imageFilePath)) {
// The second argument specifies to return the faceId, while
// the third argument specifies not to return face landmarks.
IList <DetectedFace> faceList =
await faceClient.Face.DetectWithStreamAsync(
imageFileStream, true, false, faceAttributes);
return(faceList);
}
}
// Catch and display Face API errors.
catch (APIErrorException f) {
return(new List <DetectedFace>());
}
// Catch and display all other errors.
catch (Exception e) {
return(new List <DetectedFace>());
}
}
// Uploads the image file and calls Detect Faces.
private async Task <Face[]> UploadAndDetectFaces(string filename)
{
// The list of Face attributes to return.
var faceAttributes = new FaceAttributeType[] { };
// Call the Face API.
try
{
var file = Path.Combine(_environment.WebRootPath, "uploads", filename);
var fileData = System.IO.File.ReadAllBytes(file);
using (Stream ms = new MemoryStream(fileData))
{
return(await faceServiceClient.DetectAsync(ms, returnFaceId : true));
}
}
// Catch and display Face API errors.
catch (FaceAPIException f)
{
errors.Add($"{filename}, {f.ErrorCode}: {f.ErrorMessage}");
}
// Catch and display all other errors.
catch (Exception e)
{
errors.Add($"{filename}, Error: {e.Message}");
}
return(null);
}
private async Task <Demographics> GetPhotoDemographics(string sasUri)
{
Demographics d = null;
//TODO 6. Invoke Face API with URI to photo
IFaceServiceClient faceServiceClient = new FaceServiceClient(_faceApiKey, _faceEndpoint);
//TODO 7. Configure the desired attributes Age and Gender
IEnumerable <FaceAttributeType> desiredAttributes = new FaceAttributeType[] { FaceAttributeType.Age, FaceAttributeType.Gender };
//TODO 8. Invoke the Face API Detect operation
Face[] faces = await faceServiceClient.DetectAsync(sasUri, false, true, desiredAttributes);
if (faces.Length > 0)
{
//TODO 9. Extract the age and gender from the Face API response
double computedAge = faces[0].FaceAttributes.Age;
string computedGender = faces[0].FaceAttributes.Gender;
d = new Demographics()
{
age = faces[0].FaceAttributes.Age,
gender = faces[0].FaceAttributes.Gender
};
}
return(d);
}
private async Task <Face[]> UploadAndDetectFaces(string imageFilePath)
{
try
{
var faceServiceClient = new FaceServiceClient("cc6905d4d8414b5ebe8341f17d776e94");
var requiredFaceAttributes = new FaceAttributeType[] {
FaceAttributeType.Age,
FaceAttributeType.Gender,
FaceAttributeType.Smile,
FaceAttributeType.FacialHair,
FaceAttributeType.HeadPose,
FaceAttributeType.Glasses
};
var faces = await faceServiceClient.DetectAsync(
imageFilePath,
returnFaceLandmarks : true,
returnFaceAttributes : requiredFaceAttributes);
return(faces);
}
catch (Exception)
{
return(new Face[0]);
}
}
public async Task <Face> GetFaceAttributes(string url)
{
var requiredFaceAttributes = new FaceAttributeType[] {
FaceAttributeType.Age,
FaceAttributeType.Gender,
FaceAttributeType.FacialHair,
FaceAttributeType.Hair,
};
var token = await new MicrosoftAppCredentials(BotServiceUser, BotServicePassword).GetTokenAsync();
HttpClient httpClient = new HttpClient();
httpClient.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", token);
var memoryStream = await httpClient.GetStreamAsync(url);
var face = await faceClient.DetectAsync(memoryStream, true, false, requiredFaceAttributes);
if (face != null && face.Length > 0)
{
return(face[0]);
}
else
{
return(null);
}
}
public static async Task <int> DetectOverSdk()
{
var attributes = new FaceAttributeType[] {
FaceAttributeType.Gender,
FaceAttributeType.Age,
FaceAttributeType.Smile,
FaceAttributeType.Glasses,
FaceAttributeType.HeadPose,
FaceAttributeType.FacialHair,
FaceAttributeType.Emotion,
FaceAttributeType.Hair,
FaceAttributeType.Makeup,
FaceAttributeType.Occlusion,
FaceAttributeType.Accessories,
FaceAttributeType.Noise,
FaceAttributeType.Exposure,
FaceAttributeType.Blur
};
var results = await s_sdkService.DetectAsync(s_image, true, false, attributes);
var result = results[0];
if (result.FaceAttributes.Age < 30 || result.FaceAttributes.Age > 100)
{
throw new Exception();
}
return(result.GetHashCode());
}
private async Task <String> ExtractFace(Stream image)
{
String responseString = string.Empty;
using (var client = new FaceClient(new ApiKeyServiceClientCredentials(ApiKey))
{
Endpoint = Endpoint
})
{
var attributes = new FaceAttributeType[] { FaceAttributeType.Gender, FaceAttributeType.Age, FaceAttributeType.Smile, FaceAttributeType.Glasses };
var detectedFaces = await client.Face.DetectWithStreamAsync(image, returnFaceAttributes : attributes);
if (detectedFaces?.Count == 0)
{
responseString = ">No faces detected from image.";
}
else
{
foreach (var face in detectedFaces)
{
var rect = face.FaceRectangle;
responseString = $">Rectangle: {rect.Left} {rect.Top} {rect.Width} {rect.Height}\n";
responseString += $">Gender: {face.FaceAttributes.Gender}\n";
responseString += $">Age: {face.FaceAttributes.Age}\n";
responseString += $">Smile: {face.FaceAttributes.Smile}\n";
responseString += $">Glasses: {face.FaceAttributes.Glasses}\n";
}
}
}
return(responseString);
}
public async Task <Emotion> UploadFaceAndGetEmotions(StorageFile file)
{
var faceAttributesToAnalyze = new FaceAttributeType[]
{ FaceAttributeType.Emotion };
// Call the Face API
try
{
using (var stream = await file.OpenStreamForReadAsync())
{
// The second argument specifies not return the faceId, while
// the third argument specifies not to return face landmarks.
IList <DetectedFace> faceList = await _client.Face.DetectWithStreamAsync(stream, true, false, faceAttributesToAnalyze);
return(faceList.FirstOrDefault().FaceAttributes.Emotion);;
}
}
// Catch and display Face API errors.
catch (APIErrorException f)
{
Debug.WriteLine(f.Message);
}
// Catch and display all other errors.
catch (Exception e)
{
Debug.WriteLine(e.Message);
}
return(null);
}
//// Uploads the image file and calls Detect Faces.
public async Task <Face[]> UploadAndDetectFaces(Bitmap image)
{
// The list of Face attributes to return.
IEnumerable <FaceAttributeType> faceAttributes =
new FaceAttributeType[] { FaceAttributeType.Gender, FaceAttributeType.Age, FaceAttributeType.Smile, FaceAttributeType.Emotion, FaceAttributeType.Glasses, FaceAttributeType.Hair, FaceAttributeType.FacialHair };
// Call the Face API.
try
{
using (Stream imageFileStream = new MemoryStream())
{
image.Save(imageFileStream, System.Drawing.Imaging.ImageFormat.Bmp);
imageFileStream.Seek(0, SeekOrigin.Begin);
Face[] faces = await faceServiceClient.DetectAsync(imageFileStream, returnFaceId : true, returnFaceLandmarks : false, returnFaceAttributes : faceAttributes);
return(faces);
}
}
// Catch and display Face API errors.
catch (FaceAPIException f)
{
MessageBox.Show(f.ErrorMessage, f.ErrorCode);
return(new Face[0]);
}
// Catch and display all other errors.
catch (Exception e)
{
MessageBox.Show(e.Message, "Error");
return(new Face[0]);
}
}
private async Task <Face[]> DetectFacesFrom(HttpPostedFileBase file)
{
// The list of Face attributes to return.
IEnumerable <FaceAttributeType> faceAttributes =
new FaceAttributeType[] { FaceAttributeType.Gender, FaceAttributeType.Age, FaceAttributeType.Smile, FaceAttributeType.Emotion, FaceAttributeType.Glasses, FaceAttributeType.Hair, FaceAttributeType.FacialHair };
// Call the Face API.
try
{
Log("Detecting Faces");
Face[] faces = await _faceServiceClient.DetectAsync(file.InputStream, returnFaceId : true, returnFaceLandmarks : false, returnFaceAttributes : faceAttributes);
Log("Faces length: " + faces.Length);
return(faces);
}
// Catch and display Face API errors.
catch (FaceAPIException f)
{
//MessageBox.Show(f.ErrorMessage, f.ErrorCode);
return(new Face[0]);
}
// Catch and display all other errors.
catch (Exception e)
{
//MessageBox.Show(e.Message, "Error");
return(new Face[0]);
}
}
// carica l'immagine e chiama Detect Faces
private async Task <Face[]> UploadAndDetectFaces(string imageFilePath)
{ // l'elenco degli attributi del viso da ritornare
IEnumerable <FaceAttributeType> faceAttributes = new FaceAttributeType[] { FaceAttributeType.Gender, FaceAttributeType.Age, FaceAttributeType.Smile, FaceAttributeType.Emotion, FaceAttributeType.Glasses, FaceAttributeType.Hair };
// chiama le Face API
try
{
using (Stream imageFileStream = File.OpenRead(imageFilePath))
{
Face[] faces = await faceServiceClient.DetectAsync(imageFileStream, returnFaceId : true, returnFaceLandmarks : false, returnFaceAttributes : faceAttributes);
return(faces);
}
}
// intercetta e visualizza gli errori delle Face API
catch (FaceAPIException f)
{
MessageBox.Show(f.ErrorMessage, f.ErrorCode);
return(new Face[0]);
}
// intercetta e visualizza tutti gli altri errori
catch (Exception e)
{
MessageBox.Show(e.Message, "Errore!");
return(new Face[0]);
}
}
static async void FaceTest()
{
FaceServiceClient faceServiceClient = new FaceServiceClient(subscriptionKey.ToString(), "https://northeurope.api.cognitive.microsoft.com/face/v1.0/");
string imageUrl = "https://scontent-lht6-1.xx.fbcdn.net/v/t31.0-8/23215886_10154914800207233_6176823990811634886_o.jpg?oh=76552a0d5e6afe0bebf4ec8b09f69a4f&oe=5AA49AE7";
var requiredFaceAttributes = new FaceAttributeType[] {
FaceAttributeType.Age,
FaceAttributeType.Gender,
FaceAttributeType.Smile,
FaceAttributeType.FacialHair,
FaceAttributeType.HeadPose,
FaceAttributeType.Glasses,
FaceAttributeType.Emotion
};
var faces = await faceServiceClient.DetectAsync(imageUrl,
returnFaceLandmarks : true,
returnFaceAttributes : requiredFaceAttributes);
foreach (var face in faces)
{
var id = face.FaceId;
var attributes = face.FaceAttributes;
var age = attributes.Age;
var gender = attributes.Gender;
var smile = attributes.Smile;
var facialHair = attributes.FacialHair;
var headPose = attributes.HeadPose;
var glasses = attributes.Glasses;
}
}
public static async Task <FaceDetectResult> DetectFaceAsync(string photoPath)
{
// Face API 呼び出し準備
var apiKey = "YOUR_API_KEY";
var apiEndpoint = "https://YOUR_API_LOCATION.api.cognitive.microsoft.com/face/v1.0";
var client = new FaceServiceClient(apiKey, apiEndpoint);
// Face API で判定
var file = new FileFromPath(photoPath);
var imageStream = file.Open(FileAccess.Read);
var attributes = new FaceAttributeType[] {
FaceAttributeType.Age, FaceAttributeType.Gender, FaceAttributeType.Smile,
};
var result = await client.DetectAsync(imageStream, false, false, attributes);
// 判定結果を代入
var detectResult = new FaceDetectResult();
detectResult.Age = result[0].FaceAttributes.Age;
detectResult.Gender = result[0].FaceAttributes.Gender;
detectResult.Smile = result[0].FaceAttributes.Smile;
return(detectResult);
}
private async Task <bool> BuscarCara(MemoryStream streamFace)
{
string subscriptionKey = "a6fa05b6601b4ea398aa2039d601d983";
string subscriptionEndpoint = "https://southcentralus.api.cognitive.microsoft.com/face/v1.0";
var faceServiceClient = new FaceServiceClient(subscriptionKey, subscriptionEndpoint);
// {
IEnumerable <FaceAttributeType> faceAttributes =
new FaceAttributeType[] { FaceAttributeType.Gender, FaceAttributeType.Age, FaceAttributeType.Smile, FaceAttributeType.Emotion, FaceAttributeType.Glasses, FaceAttributeType.Hair };
try
{
var faces = await faceServiceClient.DetectAsync(streamFace, true, true);
string edad = string.Empty;
string genero = string.Empty;
return(true);
}
catch (Exception ex)
{
var error = ex.Message.ToString();
throw;
}
}
public async Task <EmoPicture> DetectAndExtracFacesAsync(Stream vImageString)
{
//Emotion[] vEmotion = await emoClient.RecognizeAsync(vImageString);
//var vPicture = new EmoPicture();
//vPicture.Faces = ExtractFaces(vEmotion, vPicture);
//return vPicture;
var emoPicture = new EmoPicture();
try
{
IEnumerable <FaceAttributeType> faceAttributes = new FaceAttributeType[] { FaceAttributeType.Emotion };
Face[] faces = await emoClientFace.DetectAsync(vImageString, false, false, faceAttributes);
emoPicture.Faces = ExtractFaces(faces, emoPicture); //Face
}
catch (Exception exc)
{
throw;
}
return(emoPicture);
}
public static async Task <string> UploadAndDetectFaces(string imageFilePath)
{
try
{
var requiredFaceAttributes = new FaceAttributeType[] {
FaceAttributeType.Age,
FaceAttributeType.Gender,
FaceAttributeType.Emotion
};
using (WebClient webClient = new WebClient())
{
using (Stream imageFileStream = webClient.OpenRead(imageFilePath))
{
var faces = await faceServiceClient.DetectAsync(imageFileStream, returnFaceLandmarks : true, returnFaceAttributes : requiredFaceAttributes);
var faceAttributes = faces.Select(face => face.FaceAttributes);
string result = string.Empty;
faceAttributes.ToList().ForEach(f =>
result += $"Age: {f.Age.ToString()} Years Gender: {f.Gender} Emotion: {f.Emotion.ToString()}{Environment.NewLine}{Environment.NewLine}"
);
return(result);
}
}
}
catch (Exception ex)
{
return(string.Empty);
}
}
public static async Task <Emocion> ObtenerEmocion(Stream foto)
{
Emocion emocion = null;
try
{
if (foto != null)
{
var clienteFace = new FaceServiceClient(Constantes.FaceApiKey, Constantes.FaceApiURL);
var atributosFace = new FaceAttributeType[] { FaceAttributeType.Emotion, FaceAttributeType.Age };
using (var stream = foto)
{
Face[] rostros = await clienteFace.DetectAsync(stream, false, false, atributosFace);
if (rostros.Any())
{
var analisisEmocion = rostros.FirstOrDefault().FaceAttributes.Emotion.ToRankedList().FirstOrDefault();
emocion = new Emocion()
{
Nombre = analisisEmocion.Key,
Score = analisisEmocion.Value
};
}
foto.Dispose();
}
}
}
catch (Exception ex)
{
}
return(emocion);
}
public async Task <List <Face> > DetectFaces(string photoUrl)
{
IEnumerable <FaceAttributeType> faceAttributes =
new FaceAttributeType[] { FaceAttributeType.Gender, FaceAttributeType.Age };
List <Face> faces = new List <Face>();
try
{
Thread.Sleep(3500);
var detectionResult = await faceServiceClient.DetectAsync(photoUrl, returnFaceLandmarks : false, returnFaceAttributes : faceAttributes);
faces.AddRange(detectionResult.ToList());
return(faces);
}
catch (FaceAPIException f)
{
return(faces);
}
// Catch and display all other errors.
catch (Exception e)
{
return(faces);
}
}
public bool MakeRequestLocalFile(String file)
{
var requiedFaceAttributes = new FaceAttributeType[] {
FaceAttributeType.Age,
FaceAttributeType.Gender,
//FaceAttributeType.Smile,
//FaceAttributeType.FacialHair,
//FaceAttributeType.HeadPose
};
try
{
Thread.Sleep(3 * 1000);
using (Stream s = File.OpenRead(file))
{
var faces = new List <Face>(faceServiceClient.DetectAsync(s, true, false, requiedFaceAttributes).Result);
return(faces.Any(face => face.FaceAttributes.Gender == "female" &&
face.FaceAttributes.Age < 30));
}
}
catch
{
return(false);
}
}
public async Task <Face[]> SimpleDetectFace(string imageFilePath)
{
// The list of Face attributes to return.
IEnumerable <FaceAttributeType> faceAttributes =
new FaceAttributeType[] { FaceAttributeType.Gender, FaceAttributeType.Age, FaceAttributeType.Smile, FaceAttributeType.Emotion, FaceAttributeType.Glasses, FaceAttributeType.Hair };
// Call the Face API.
try
{
using (Stream imageFileStream = File.OpenRead(imageFilePath))
{
Face[] faces = await FaceServiceHelper.DetectAsync(imageFileStream, returnFaceId : true, returnFaceLandmarks : false, returnFaceAttributes : faceAttributes);
return(faces);
}
}
// Catch and display Face API errors.
catch (FaceAPIException f)
{
return(new Face[0]);
}
// Catch and display all other errors.
catch (Exception e)
{
return(new Face[0]);
}
}
public static async Task <Face> DetectarRostro(MediaFile foto)
{
Face rostro = null;
try
{
if (foto != null)
{
var clienteFace = new FaceServiceClient(Constantes.FaceApiKey, Constantes.FaceApiURL);
var atributosFace = new FaceAttributeType[] { FaceAttributeType.Age, FaceAttributeType.Gender, FaceAttributeType.HeadPose, FaceAttributeType.Emotion };
using (var stream = foto.GetStream())
{
Face[] rostros = await clienteFace.DetectAsync(stream, false, true, atributosFace);
rostro = rostros.FirstOrDefault();
}
}
}
catch (Exception ex)
{
}
return(rostro);
}
public static async Task <Face> DetectarRostro(byte[] foto)
{
FaceClient.Shared.Endpoint = Constantes.FaceApiURL;
FaceClient.Shared.SubscriptionKey = Constantes.FaceApiKey;
try
{
if (foto != null)
{
var atributosFace = new FaceAttributeType[] { FaceAttributeType.Age, FaceAttributeType.Gender, FaceAttributeType.HeadPose, FaceAttributeType.Emotion };
using (var stream = new MemoryStream(foto))
{
var rostros = await FaceClient.Shared.DetectFacesInPhoto(stream, true, atributosFace);
if (rostros.Count > 0)
{
return(rostros.FirstOrDefault());
}
}
}
}
catch (Exception ex)
{
}
return(null);
}
private async void imgPhoto_ImageOpened(object sender, RoutedEventArgs e)
{
size_image = new Size((imgPhoto.Source as BitmapImage).PixelWidth, (imgPhoto.Source as BitmapImage).PixelHeight);
FaceServiceClient f_client = new FaceServiceClient(key_face);
var requiedFaceAttributes = new FaceAttributeType[] {
FaceAttributeType.Age,
FaceAttributeType.Gender,
FaceAttributeType.Smile,
FaceAttributeType.FacialHair,
FaceAttributeType.HeadPose,
FaceAttributeType.Emotion,
FaceAttributeType.Glasses
};
var faces_task = f_client.DetectAsync(txtLocation.Text, true, true, requiedFaceAttributes);
faces = await faces_task;
if (faces != null)
{
DisplayFacesData(faces);
DisplayEmotionsData(faces);
}
ringLoading.IsActive = false;
}
// Uploads the image file and calls DetectWithStreamAsync.
private async Task <IList <DetectedFace> > UploadAndDetectFaces(string imageFilePath, CancellationToken token)
{
// The list of Face attributes to return.
IList <FaceAttributeType> faceAttributes =
new FaceAttributeType[]
{
FaceAttributeType.Gender, FaceAttributeType.Age
};
// Call the Face API.
try
{
using (Stream imageFileStream = File.OpenRead(imageFilePath))
{
IList <DetectedFace> faceList =
await faceClient.Face.DetectWithStreamAsync(
imageFileStream, true, false, faceAttributes, token);
return(faceList);
}
}
// Catch and display Face API errors.
catch (APIErrorException f)
{
MessageBox.Show(f.Message);
return(new List <DetectedFace>());
}
// Catch and display all other errors.
catch (Exception)
{
//MessageBox.Show(e.Message, "Error");
return(new List <DetectedFace>());
}
}
public async Task<IEnumerable<ProfileResult>> GetProfileFromImageAsync(Stream imageStream)
{
FaceAttributeType[] attributes = new FaceAttributeType[2];
attributes[0] = FaceAttributeType.Age;
attributes[1] = FaceAttributeType.Gender;
var profile = await _faceServiceClient.DetectAsync(imageStream, true, false, attributes );
return ConvertProfileToProfileResults(profile);
}
async Task AddFaceBasedTagsToPhotoAsync(PhotoResult photoResult)
{
// See comment at bottom of file.
if (!string.IsNullOrEmpty(cognitiveServiceFaceServiceKey))
{
FaceServiceClient client = new FaceServiceClient(
cognitiveServiceFaceServiceKey);
using (var stream = await photoResult.PhotoFile.OpenStreamForReadAsync())
{
var attributes = new FaceAttributeType[]
{
FaceAttributeType.Age,
FaceAttributeType.FacialHair,
FaceAttributeType.Gender,
FaceAttributeType.Glasses,
FaceAttributeType.Smile
};
var results = await client.DetectAsync(stream, true, false, attributes);
var firstFace = results?.FirstOrDefault();
if (firstFace != null)
{
var automaticTags = new List<string>();
automaticTags.Add($"age {firstFace.FaceAttributes.Age}");
automaticTags.Add(firstFace.FaceAttributes.Gender.ToString());
automaticTags.Add(firstFace.FaceAttributes.Glasses.ToString());
Action<double, string> compareFunc =
(double value, string name) =>
{
if (value > 0.5) automaticTags.Add(name);
};
compareFunc(firstFace.FaceAttributes.Smile, "smile");
compareFunc(firstFace.FaceAttributes.FacialHair.Beard, "beard");
compareFunc(firstFace.FaceAttributes.FacialHair.Moustache, "moustache");
compareFunc(firstFace.FaceAttributes.FacialHair.Sideburns, "sideburns");
await this.photoControl.AddTagsToPhotoAsync(
photoResult.PhotoId, automaticTags);
}
}
}
}
