private async void ExecuteFaceTask(List <int> mFaceIndices)
{
AddPersistedFaceResult result = null;
bool mSucceed = true;
mProgressDialog.Show();
try
{
var faceClient = new FaceClient();
UUID personId = UUID.FromString(mPersonId);
using (MemoryStream pre_output = new MemoryStream())
{
mBitmap.Compress(Bitmap.CompressFormat.Jpeg, 100, pre_output);
using (ByteArrayInputStream inputStream = new ByteArrayInputStream(pre_output.ToArray()))
{
byte[] arr = new byte[inputStream.Available()];
inputStream.Read(arr);
var output = new MemoryStream(arr);
mProgressDialog.SetMessage("Adding face...");
SetInfo("Adding face...");
foreach (int index in mFaceIndices)
{
FaceRectangle faceRect = mFaceGridViewAdapter.faceRectList[index];
AddLog("Request: Adding face to person " + mPersonId);
result = await faceClient.AddPersonFace(mPersonGroupId, personId, output, "User data", faceRect);
mFaceGridViewAdapter.faceIdList[index] = result.PersistedFaceId;
}
}
}
}
catch (Java.Lang.Exception e)
{
mSucceed = false;
AddLog(e.Message);
}
RunOnUiThread(() =>
{
mProgressDialog.Dismiss();
if (mSucceed)
{
String faceIds = "";
foreach (int index in mFaceIndices)
{
String faceId = mFaceGridViewAdapter.faceIdList[index].ToString();
faceIds += faceId + ", ";
try
{
var file = System.IO.Path.Combine(Application.Context.FilesDir.Path, faceId);
using (var fs = new FileStream(file, FileMode.OpenOrCreate))
{
mFaceGridViewAdapter.faceThumbnails[index].Compress(Bitmap.CompressFormat.Jpeg, 100, fs);
}
Android.Net.Uri uri = Android.Net.Uri.Parse(file);
StorageHelper.SetFaceUri(faceId, uri.ToString(), mPersonId, this);
}
catch (Java.IO.IOException e)
{
SetInfo(e.Message);
}
}
AddLog("Response: Success. Face(s) " + faceIds + "added to person " + mPersonId);
Finish();
}
});
}
public static async Task Run(
[BlobTrigger("images/{name}.{extension}")] CloudBlockBlob blobImage, string name, string extension, TraceWriter log)
{
Person p = new Person();
string json = string.Empty;
var collection = await client_document.CreateDocumentCollectionIfNotExistsAsync(UriFactory.CreateDatabaseUri(Settings.DatabaseId), new DocumentCollection { Id = Settings.PersonCollectionId }, new RequestOptions { OfferThroughput = 1000 });
//get json file from storage
CloudBlockBlob blobJson = await StorageHelper.GetBlockBlob($"{name}.json", Settings.AzureWebJobsStorage, "metadata", false);
//validate record has not been processed before
var query = client_document.CreateDocumentQuery <Person>(collection.Resource.SelfLink, new SqlQuerySpec()
{
QueryText = $"SELECT * FROM Person p WHERE p.picture = '{name}.{extension}'"
});
int count = query.ToList().Count;
if (count > 0)
{
return;
}
//determine if image has a face
List <JObject> list = await client_face.DetectFaces(blobImage.Uri.AbsoluteUri);
//validate image extension
if (blobImage.Properties.ContentType != "image/jpeg")
{
log.Info($"no valid content type for: {name}.{extension}");
await blobImage.DeleteAsync();
await blobJson.DeleteAsync();
return;
}
//if image has no faces
if (list.Count == 0)
{
log.Info($"there are no faces in the image: {name}.{extension}");
await blobImage.DeleteAsync();
await blobJson.DeleteAsync();
return;
}
//if image has more than one face
if (list.Count > 1)
{
log.Info($"multiple faces detected in the image: {name}.{extension}");
await blobImage.DeleteAsync();
await blobJson.DeleteAsync();
return;
}
try
{
using (var memoryStream = new MemoryStream())
{
blobJson.DownloadToStream(memoryStream);
json = System.Text.Encoding.UTF8.GetString(memoryStream.ToArray());
p = JsonConvert.DeserializeObject <Person>(json);
}
//register person in Face API
CreatePerson resultCreatePerson = await client_face.AddPersonToGroup(p.Name + " " + p.Lastname);
AddPersonFace resultPersonFace = await client_face.AddPersonFace(blobImage.Uri.AbsoluteUri, resultCreatePerson.personId);
AddFaceToList resultFaceToList = await client_face.AddFaceToList(blobImage.Uri.AbsoluteUri);
//Add custom settings
p.IsActive = 1;
p.IsFound = 0;
p.FaceAPIFaceId = resultFaceToList.persistedFaceId;
p.FaceAPIPersonId = resultCreatePerson.personId;
p.Picture = $"{name}.jpg";
await client_document.CreateDatabaseIfNotExistsAsync(new Database { Id = Settings.DatabaseId });
var result = await client_document.CreateDocumentAsync(collection.Resource.SelfLink, p);
var document = result.Resource;
}
catch (Exception ex)
{
await blobImage.DeleteAsync();
await blobJson.DeleteAsync();
log.Info($"Error in file: {name}.{extension} - {ex.Message}");
return;
}
await blobJson.DeleteAsync();
log.Info("person registered successfully");
}
public static async Task Run(
[BlobTrigger("images/{name}.{extension}")] CloudBlockBlob blobImage, string name, string extension, TraceWriter log)
{
var tc = new TelemetryClient();
tc.InstrumentationKey = Settings.APPINSIGHTS_INSTRUMENTATIONKEY;
Person p = new Person();
string notificationMessage = "Error";
bool hasError = true;;
string json = string.Empty;
string deviceId = string.Empty;
var collection = await client_document.CreateDocumentCollectionIfNotExistsAsync(UriFactory.CreateDatabaseUri(Settings.DatabaseId), new DocumentCollection { Id = Settings.PersonCollectionId }, new RequestOptions { OfferThroughput = 1000 });
//get json file from storage
CloudBlockBlob blobJson = await StorageHelper.GetBlockBlob($"{name}.json", Settings.AzureWebJobsStorage, "metadata", false);
try
{
using (var memoryStream = new MemoryStream())
{
blobJson.DownloadToStream(memoryStream);
json = System.Text.Encoding.UTF8.GetString(memoryStream.ToArray());
p = JsonConvert.DeserializeObject <Person>(json);
}
deviceId = p.ReportedByDeviceId;
await NotificationsHelper.AddToRequest(deviceId, name);
//validate record has not been processed before
var query = client_document.CreateDocumentQuery <Person>(collection.Resource.SelfLink, new SqlQuerySpec()
{
QueryText = $"SELECT * FROM Person p WHERE p.picture = '{name}.{extension}'"
});
int count = query.ToList().Count;
if (count > 0)
{
return;
}
log.Info(blobImage.Uri.AbsoluteUri);
//determine if image has a face
List <JObject> list = await client_face.DetectFaces(blobImage.Uri.AbsoluteUri);
//validate image extension
if (blobImage.Properties.ContentType != "image/jpeg")
{
log.Info($"no valid content type for: {name}.{extension}");
await blobImage.DeleteAsync();
await blobJson.DeleteAsync();
notificationMessage = "Formato de fotografía incorrecto";
hasError = true;
await NotificationsHelper.SendNotification(hasError, notificationMessage, name, deviceId);
return;
}
//if image has no faces
if (list.Count == 0)
{
log.Info($"there are no faces in the image: {name}.{extension}");
await blobImage.DeleteAsync();
await blobJson.DeleteAsync();
notificationMessage = $"La fotografía de {p.Name} {p.Lastname} no contiene rostros";
hasError = true;
await NotificationsHelper.SendNotification(hasError, notificationMessage, name, deviceId);
return;
}
//if image has more than one face
if (list.Count > 1)
{
log.Info($"multiple faces detected in the image: {name}.{extension}");
await blobImage.DeleteAsync();
await blobJson.DeleteAsync();
notificationMessage = $"La fotografía de {p.Name} {p.Lastname} contiene mas de un rostro";
hasError = true;
await NotificationsHelper.SendNotification(hasError, notificationMessage, name, deviceId);
return;
}
//register person in Face API
CreatePerson resultCreatePerson = await client_face.AddPersonToGroup(p.Name + " " + p.Lastname);
AddPersonFace resultPersonFace = await client_face.AddPersonFace(blobImage.Uri.AbsoluteUri, resultCreatePerson.personId);
AddFaceToList resultFaceToList = await client_face.AddFaceToList(blobImage.Uri.AbsoluteUri);
//Add custom settings
p.IsActive = 1;
p.IsFound = 0;
p.FaceAPIFaceId = resultFaceToList.persistedFaceId;
p.FaceAPIPersonId = resultCreatePerson.personId;
p.Picture = $"{name}.jpg";
await client_document.CreateDatabaseIfNotExistsAsync(new Database { Id = Settings.DatabaseId });
var result = await client_document.CreateDocumentAsync(collection.Resource.SelfLink, p);
var document = result.Resource;
}
catch (Exception ex)
{
tc.TrackException(ex);
await blobImage.DeleteAsync();
await blobJson.DeleteAsync();
log.Info($"Error in file: {name}.{extension} - {ex.Message} {ex.StackTrace}");
notificationMessage = $"Ocurrió un error durante el registro de {p.Name} {p.Lastname}";
hasError = true;
await NotificationsHelper.SendNotification(hasError, notificationMessage, name, deviceId);
return;
}
await blobJson.DeleteAsync();
log.Info("person registered successfully");
notificationMessage = $"El registro de {p.Name} {p.Lastname} se realizo correctamente";
hasError = false;
await NotificationsHelper.SendNotification(hasError, notificationMessage, name, deviceId);
}
