public async Task <bool> UpsertFaceListAndCheckIfContainsFaceAsync()
{
try
{
var faceListIdIn = faceListId.ToString();
var faceLists = await _faceServiceClient.ListFaceListsAsync();
var faceList = faceLists.FirstOrDefault(_ => _.FaceListId == faceListIdIn);
if (faceList == null)
{
await _faceServiceClient.CreateFaceListAsync(faceListIdIn, "GeekBurgerFaces", null);
return(false);
}
var faceListJustCreated = await _faceServiceClient.GetFaceListAsync(faceListIdIn);
return(faceListJustCreated.PersistedFaces.Any());
}
catch (Exception ex)
{
return(false);
}
}
private static async Task <bool> UpsertFaceListAndCheckIfContainsFaceAsync()
{
try
{
faceServiceClient = new FaceServiceClient(Configuration["FaceAPIKey"], "https://eastus.api.cognitive.microsoft.com/face/v1.0");
var faceListId = Guid.Parse(Configuration["FaceListId"]).ToString();
var faceLists = await faceServiceClient.ListFaceListsAsync();
var faceList = faceLists.FirstOrDefault(_ => _.FaceListId == FaceListId.ToString());
if (faceList == null)
{
await faceServiceClient.CreateFaceListAsync(faceListId, "GeekBurgerFaces", null);
return(false);
}
var faceListJustCreated = await faceServiceClient.GetFaceListAsync(faceListId);
return(faceListJustCreated.PersistedFaces.Any());
}
catch (Exception ex)
{
throw ex;
}
}
/// <summary>
/// Function to update the list of Face IDs, based on the example images added
/// </summary>
private async void UpdateFaceGuidsAsync()
{
if (!_faceListExists)
{
return;
}
try
{
FaceList faceList = await _faceServiceClient.GetFaceListAsync(FaceListName.ToLower());
if (faceList == null)
{
return;
}
PersistedFace[] faces = faceList.PersistedFaces;
foreach (PersistedFace face in faces)
{
FaceIds.Add(face.PersistedFaceId);
}
}
catch (FaceAPIException ex)
{
Debug.WriteLine($"Failed to get face list - {ex.ErrorMessage}");
}
catch (Exception ex)
{
Debug.WriteLine(ex.Message);
}
}
public async Task RegisterFaceAsync(string faceId, ImageRequest request)
{
var client = new FaceServiceClient(subscriptionKey: Secrets.CongnitiveServiceFaceApiKey, apiRoot: Consts.CognitiveServiceFaceApiEndPoint);
try
{
await client.GetFaceListAsync(faceId);
}
catch (FaceAPIException)
{
// not found
await client.CreateFaceListAsync(faceListId : faceId, name : faceId);
}
await client.AddFaceToFaceListAsync(faceListId : faceId, imageStream : new MemoryStream(request.Image));
}
private async Task <bool> UpsertFaceListAndCheckIfContainsFaceAsync()
{
var faceLists = await _faceServiceClient.ListFaceListsAsync();
var faceList = faceLists.FirstOrDefault(_ => _.FaceListId == _faceListId);
if (faceList == null)
{
await _faceServiceClient.CreateFaceListAsync(_faceListId, "geekburger-users-face", null);
return(false);
}
var faceListJustCreated = await _faceServiceClient.GetFaceListAsync(_faceListId);
return(faceListJustCreated.PersistedFaces.Any());
}
private static async Task <bool> UpsertFaceListAndCheckIfContainsFaceAsync()
{
var faceListId = FaceListId.ToString();
var faceLists = await faceServiceClient.ListFaceListsAsync();
var faceList = faceLists.FirstOrDefault(_ => _.FaceListId == FaceListId.ToString());
if (faceList == null)
{
await faceServiceClient.CreateFaceListAsync(faceListId, "GeekBurgerFaces", null);
return(false);
}
var faceListJustCreated = await faceServiceClient.GetFaceListAsync(faceListId);
return(faceListJustCreated.PersistedFaces.Any());
}
/// <summary>
/// 根据facelisId获取其相关信息
/// </summary>
/// <param name="listId">FaceListId</param>
/// <returns></returns>
public async Task <FaceList> GetFaceListInfoById(string listId)
{
return(await faceServiceClient.GetFaceListAsync(listId));
}
/// <summary>
/// Pick image folder and detect all faces in these images
/// </summary>
/// <param name="sender">Event sender</param>
/// <param name="e">Event arguments</param>
private async void FolderPicker_Click(object sender, RoutedEventArgs e)
{
bool groupExists = false;
MainWindow mainWindow = Window.GetWindow(this) as MainWindow;
string subscriptionKey = mainWindow._scenariosControl.SubscriptionKey;
var faceServiceClient = new FaceServiceClient(subscriptionKey);
try
{
MainWindow.Log("Request: Face List {0} will be used to build a person database. Checking whether the face list exists.", _faceListName);
await faceServiceClient.GetFaceListAsync(_faceListName);
groupExists = true;
MainWindow.Log("Response: Face List {0} exists.", _faceListName);
}
catch (FaceAPIException ex)
{
if (ex.ErrorCode != "FaceListNotFound")
{
MainWindow.Log("Response: {0}. {1}", ex.ErrorCode, ex.ErrorMessage);
return;
}
else
{
MainWindow.Log("Response: Face List {0} did not exist previously.", _faceListName);
}
}
if (groupExists)
{
var cleanFaceList = System.Windows.MessageBox.Show(string.Format("Requires a clean up for face list \"{0}\" before setting up a new face list. Click OK to proceed, face list \"{0}\" will be cleared.", _faceListName), "Warning", MessageBoxButton.OKCancel);
if (cleanFaceList == MessageBoxResult.OK)
{
await faceServiceClient.DeleteFaceListAsync(_faceListName);
}
else
{
return;
}
}
OpenFaceButton.IsEnabled = false;
// Show folder picker
System.Windows.Forms.FolderBrowserDialog dlg = new System.Windows.Forms.FolderBrowserDialog();
var result = dlg.ShowDialog();
bool forceContinue = false;
if (result == System.Windows.Forms.DialogResult.OK)
{
// Enumerate all ".jpg" files in the folder, call detect
List <Task> tasks = new List <Task>();
FacesCollection.Clear();
TargetFaces.Clear();
FindSimilarMatchPersonCollection.Clear();
FindSimilarMatchFaceCollection.Clear();
SelectedFile = null;
// Set the suggestion count is intent to minimum the data preparation step only,
// it's not corresponding to service side constraint
const int SuggestionCount = 10;
int processCount = 0;
MainWindow.Log("Request: Preparing, detecting faces in chosen folder.");
await faceServiceClient.CreateFaceListAsync(_faceListName, _faceListName, "face list for sample");
var imageList =
new ConcurrentBag <string>(
Directory.EnumerateFiles(dlg.SelectedPath, "*.*", SearchOption.AllDirectories)
.Where(s => s.EndsWith(".jpg") || s.EndsWith(".png") || s.EndsWith(".bmp") || s.EndsWith(".gif")));
string img;
int invalidImageCount = 0;
while (imageList.TryTake(out img))
{
tasks.Add(Task.Factory.StartNew(
async(obj) =>
{
var imgPath = obj as string;
// Call detection
using (var fStream = File.OpenRead(imgPath))
{
try
{
var faces =
await faceServiceClient.AddFaceToFaceListAsync(_faceListName, fStream);
return(new Tuple <string, ClientContract.AddPersistedFaceResult>(imgPath, faces));
}
catch (FaceAPIException ex)
{
// if operation conflict, retry.
if (ex.ErrorCode.Equals("ConcurrentOperationConflict"))
{
imageList.Add(imgPath);
return(null);
}
// if operation cause rate limit exceed, retry.
else if (ex.ErrorCode.Equals("RateLimitExceeded"))
{
imageList.Add(imgPath);
return(null);
}
else if (ex.ErrorMessage.Contains("more than 1 face in the image."))
{
Interlocked.Increment(ref invalidImageCount);
}
// Here we simply ignore all detection failure in this sample
// You may handle these exceptions by check the Error.Error.Code and Error.Message property for ClientException object
return(new Tuple <string, ClientContract.AddPersistedFaceResult>(imgPath, null));
}
}
},
img).Unwrap().ContinueWith((detectTask) =>
{
var res = detectTask?.Result;
if (res?.Item2 == null)
{
return;
}
// Update detected faces on UI
this.Dispatcher.Invoke(
new Action
<ObservableCollection <Face>, string, ClientContract.AddPersistedFaceResult>(
UIHelper.UpdateFace),
FacesCollection,
res.Item1,
res.Item2);
}));
processCount++;
if (processCount >= SuggestionCount && !forceContinue)
{
var continueProcess =
System.Windows.Forms.MessageBox.Show(
"The images loaded have reached the recommended count, may take long time if proceed. Would you like to continue to load images?",
"Warning", System.Windows.Forms.MessageBoxButtons.YesNo);
if (continueProcess == System.Windows.Forms.DialogResult.Yes)
{
forceContinue = true;
}
else
{
break;
}
}
if (tasks.Count >= _maxConcurrentProcesses || imageList.IsEmpty)
{
await Task.WhenAll(tasks);
tasks.Clear();
}
}
if (invalidImageCount > 0)
{
MainWindow.Log("Warning: more or less than one face is detected in {0} images, can not add to face list.", invalidImageCount);
}
MainWindow.Log("Response: Success. Total {0} faces are detected.", FacesCollection.Count);
}
GC.Collect();
OpenFaceButton.IsEnabled = true;
}
private async void FaceBox_Click(object sender, RoutedEventArgs e)
{
var faceButton = (Button)sender;
var faceServiceClient = new FaceServiceClient(_subscriptionKey);
var faceLists = await faceServiceClient.ListFaceListsAsync();
var faceList = faceLists.First(fl => fl.Name.StartsWith(_faceListNameRoot));
var fl2 = await faceServiceClient.GetFaceListAsync(faceList.FaceListId);
var similarFaces = await faceServiceClient.FindSimilarAsync(new Guid(faceButton.Tag.ToString()), faceList.FaceListId);
SimilarFaces.ItemsSource = from pf in fl2.PersistedFaces
join sf in similarFaces
on pf.PersistedFaceId equals sf.PersistedFaceId
orderby sf.Confidence descending
select new SimilarFaceResult(pf.UserData)
{
Confidence = (int)(sf.Confidence * 100)
};
}
private async void RefreshFaceLists(object sender, RoutedEventArgs e)
{
var faceServiceClient = new FaceServiceClient(_subscriptionKey);
var facelists = await faceServiceClient.ListFaceListsAsync();
foreach (var facelist in facelists)
{
if (facelist.FaceListId.StartsWith(_faceListNameRoot))
{
var faceListData = new FaceListData { FaceListId = facelist.FaceListId };
var fl = await faceServiceClient.GetFaceListAsync(facelist.FaceListId);
faceListData.PersistedFaces = fl.PersistedFaces.Count();
_faceLists.Add(faceListData);
}
}
}
async Task <AiResult> MakeRequest(string imageToCheck)
{
AiResult res = new AiResult();
// imageToCheck = "https://www.liberationnews.org/wp-content/uploads/2015/07/donaldtrump61815.jpg";
EmotionServiceClient emotionServiceClient = new EmotionServiceClient(emotionKey);
Emotion[] imageEmotion = await emotionServiceClient.RecognizeAsync(imageToCheck);
Console.WriteLine("Feeling: " + imageEmotion[0].Scores.ToRankedList().First().Key);
Console.WriteLine("Top score: " + imageEmotion[0].Scores.ToRankedList().First().Value);
res.Emotion = string.Format("Unknwn ({0:P2})", 0);
float bestScore = 0;
foreach (var em in imageEmotion[0].Scores.ToRankedList())
{
if (em.Value > bestScore)
{
bestScore = em.Value;
res.Emotion = res.Emotion = string.Format("{0} ({1:P2})", em.Key, em.Value);
}
}
FaceServiceClient faceServiceClient = new FaceServiceClient(faceKey);
FaceList trumpList = null;
try
{
trumpList = await faceServiceClient.GetFaceListAsync(faceList);
}
catch (FaceAPIException apiExp)
{
if (apiExp.ErrorCode == "FaceListNotFound")
{
await faceServiceClient.CreateFaceListAsync(faceList, faceList, "A collection of trumps");
trumpList = await faceServiceClient.GetFaceListAsync(faceList);
}
else
{
throw apiExp;
}
}
if (trumpList.PersistedFaces.Count() < 5)
{
await faceServiceClient.AddFaceToFaceListAsync(faceList, "https://www.liberationnews.org/wp-content/uploads/2015/07/donaldtrump61815.jpg");
await faceServiceClient.AddFaceToFaceListAsync(faceList, "http://thefederalist.com/wp-content/uploads/2016/02/trumpie.jpg");
await faceServiceClient.AddFaceToFaceListAsync(faceList, "http://www.redstate.com/uploads/2016/02/donald-trump-is-still-soaring-in-iowa-but-there-are-now-some-clear-warning-signs.jpg");
await faceServiceClient.AddFaceToFaceListAsync(faceList, "http://i.huffpost.com/gen/3706868/images/o-DONALD-TRUMP-FUNNY-facebook.jpg");
await faceServiceClient.AddFaceToFaceListAsync(faceList, "http://media.salon.com/2015/04/donald_trump_thumbsup.jpg");
trumpList = await faceServiceClient.GetFaceListAsync(faceList);
}
Face[] faceToCompare = await faceServiceClient.DetectAsync(imageToCheck);
SimilarPersistedFace[] faces = await faceServiceClient.FindSimilarAsync(faceToCompare[0].FaceId, faceList, FindSimilarMatchMode.matchFace);
res.TrumpMatch = String.Format("{0:P2}", 0);
if (faces.Count() == 0)
{
Console.WriteLine("Sorry, nothing compares to you");
}
else
{
double totalConfidence = 0;
foreach (SimilarPersistedFace matching in faces)
{
totalConfidence += matching.Confidence;
}
double averageConfidence = totalConfidence / faces.Count();
res.TrumpMatch = String.Format("{0:P2}", averageConfidence);
Console.WriteLine("Trump comparison: " + res.TrumpMatch);
}
return(res);
}
