private static void FindSimilarFacesInAllLargeFaceListsAsync()
{
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
var processed = 0;
using (var operation = telemetryClient.StartOperation <RequestTelemetry>("Find similar faces in all large face lists"))
{
try
{
var filePath = Path.Combine(Settings.FindSimilarFolderPath, "input.jpg");
var imageBytes = File.ReadAllBytes(filePath);
var stream = new System.IO.MemoryStream(imageBytes);
var imageUri = StorageHelper.UploadFileAsync(stream, $"input.jpg", "uploads", Settings.AzureWebJobsStorage, "image/jpeg").Result;
List <FaceClientSDK.Domain.Face.DetectResult> list = APIReference.Instance.Face.DetectAsync(imageUri, "age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise", true, true).Result;
bool isValid = true;
if (list.Count == 0)
{
isValid = false;
//delete file from storage
var res = StorageHelper.DeleteFileAsync($"input.jpg", "uploads", Settings.AzureWebJobsStorage).Result;
Console.WriteLine($"no face detected!");
telemetryClient.TrackTrace($"no face detected!");
}
if (list.Count > 1)
{
isValid = false;
//delete file from storage
var res = StorageHelper.DeleteFileAsync($"input.jpg", "uploads", Settings.AzureWebJobsStorage).Result;
Console.WriteLine($"multiple faces detected!");
telemetryClient.TrackTrace($"multiple faces detected!");
}
if (isValid)
{
var detectedFaceId = list.First().faceId.ToString();
List <FaceClientSDK.Domain.Face.FindSimilarResult> facesFoundInAllFaceLists = new List <FaceClientSDK.Domain.Face.FindSimilarResult>();
List <ListResult> faceList = APIReference.Instance.LargeFaceList.ListAsync("0", "1000").Result;
if (Parallel.ForEach(faceList, (s) => {
try
{
Settings.LargeFaceListId = s.largeFaceListId;
Console.WriteLine($"Find similar faces in LargeFaceListId: {s.largeFaceListId}");
telemetryClient.TrackTrace($"Find similar faces in LargeFaceListId: {s.largeFaceListId}");
List <FaceClientSDK.Domain.Face.FindSimilarResult> similarFaces = APIReference.Instance.Face.FindSimilarAsync(detectedFaceId, string.Empty, Settings.LargeFaceListId, new string[] { }, 10, "matchPerson").Result;
foreach (FaceClientSDK.Domain.Face.FindSimilarResult fs in similarFaces)
{
facesFoundInAllFaceLists.Add(fs);
}
processed++;
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
telemetryClient.TrackException(ex);
return;
}
}).IsCompleted)
{
if (Parallel.ForEach(facesFoundInAllFaceLists, (fs) => {
try
{
GetFaceResult face = APIReference.Instance.LargeFaceList.GetFaceAsync(Settings.LargeFaceListId, fs.persistedFaceId).Result;
Console.WriteLine($"PersistedFaceId: {fs.persistedFaceId}, UserData: {face.userData}, Confidence: {fs.confidence}");
telemetryClient.TrackTrace($"PersistedFaceId: {fs.persistedFaceId}, UserData: {face.userData}, Confidence: {fs.confidence}");
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
telemetryClient.TrackException(ex);
return;
}
}).IsCompleted)
{
Console.WriteLine($"Processed lists: {processed}");
operation.Telemetry.Properties["ProcessedLists"] = processed.ToString();
}
}
}
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
telemetryClient.TrackException(ex);
}
stopwatch.Stop();
telemetryClient.TrackEvent($"Find similar faces in all large face lists - completed at {stopwatch.ElapsedMilliseconds} ms.");
telemetryClient.StopOperation(operation);
}
}
private static async void AddFaceToLargeFaceListAsync()
{
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
var processed = 0;
var IterationsToRetry = Settings.AddFaceRetries;
var TimeToSleepForRetry = Settings.AddFaceTimeToSleepInMs;
using (var operation = telemetryClient.StartOperation <RequestTelemetry>("Add face to large face list"))
{
try
{
if (!Directory.Exists(Settings.ImageFolderPath))
{
throw new Exception("There was a problem validating the images folder");
}
List <string> imageList = Directory.GetFiles(Settings.ImageFolderPath, "*.jpg").ToList();
telemetryClient.TrackTrace($"ImageFolderPath: {Settings.ImageFolderPath}");
foreach (string s in imageList)
{
for (int i = 0; i <= IterationsToRetry; i++)
{
FileInfo imageFile = null;
try
{
imageFile = new FileInfo(s);
var noExtension = imageFile.Name.Replace(imageFile.Extension, "");
Metadata metadata = new Metadata()
{
id = noExtension
};
var imageBytes = File.ReadAllBytes(imageFile.FullName);
var stream = new MemoryStream(imageBytes);
var imageUri = await StorageHelper.UploadFileAsync(stream, $"{imageFile.Name}", "images", Settings.AzureWebJobsStorage, "image/jpeg");
AddFaceResult resultFaceToList = await APIReference.Instance.LargeFaceList.AddFaceAsync(Settings.LargeFaceListId, imageUri, metadata.id, string.Empty);
if (resultFaceToList == null)
{
return;
}
processed++;
Console.WriteLine($"Processed: {processed}, PersistedFaceId: {resultFaceToList.persistedFaceId}");
telemetryClient.TrackTrace($"Processed: {processed}, PersistedFaceId: {resultFaceToList.persistedFaceId}");
break;
}
catch (Exception ex)
{
var message = string.Empty;
if (i > 0)
{
message = $"Retry #{i} in image: {imageFile.Name}, Exception: {ex.Message}";
}
else
{
message = $"There was an error in image: {imageFile.Name}, Exception: {ex.Message}";
}
Console.WriteLine(message);
List <Exception> exs = new List <Exception>();
exs.Add(ex);
AggregateException aex = new AggregateException(message, exs);
telemetryClient.TrackException(aex);
Task.Delay(TimeToSleepForRetry).Wait();
}
}
}
Console.WriteLine($"Processed: {processed}");
operation.Telemetry.Properties["ProcessedFaces"] = processed.ToString();
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
telemetryClient.TrackException(ex);
}
stopwatch.Stop();
telemetryClient.TrackEvent($"Add face to large face list - completed at {stopwatch.ElapsedMilliseconds} ms.");
telemetryClient.StopOperation(operation);
}
}
