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Identifying Faces through Azure Functions Using Face API
var sasToken = Environment.GetEnvironmentVariable("Blob__SasToken");
var containerName = Environment.GetEnvironmentVariable("Blob__Container");
var personGroup = Environment.GetEnvironmentVariable("Blob__PersonGroup");
var numberOfPhotos = Convert.ToInt32(Environment.GetEnvironmentVariable("Blob__NumberOfPhotos"));
var tableName = Environment.GetEnvironmentVariable("Table__Name");
var authKey = Environment.GetEnvironmentVariable("Face__AuthKey");
var endpoint = Environment.GetEnvironmentVariable("Face__Endpoint");
var confidence = Convert.ToDouble(Environment.GetEnvironmentVariable("Face__Confidence"));
var client = new CloudBlobClient();
var container = client.GetContainerReference(containerName);
await container.CreateIfNotExistsAsync().ConfigureAwait(false);
var segment = await container.ListBlobsSegmentedAsync($"{personGroup}/", true, BlobListingDetails.Metadata, numberOfPhotos, null, null, null)
.ConfigureAwait(false);
var images = segment.Results.Select(p => (CloudBlockBlob)p).ToList();
if (images.Count < numberOfPhotos)
{
var uploaded = DO_IMAGE_UPLOAD();
return new CreatedResult(uploaded.Uri, $"Need {numberOfPhotos - blobs.Count} more photo(s).");
}
var credentials = new ApiKeyServiceClientCredentials(authKey);
var client = new FaceClient(credentials) { Endpoint = endpoint };
var url = $"{face.Uri.AbsoluteUri}{sasToken}";
var faces = await client.Face
.DetectWithUrlAsync(url, recognitionModel: RecognitionModel.Recognition01)
.ConfigureAwait(false);
if (faces.Count != 1)
{
return new BadRequestObjectResult("Too many faces or no face detected");
}
var personGroupId = Guid.NewGuid().ToString();
var client = new CloudTableClient();
var table = client.GetTableReference(tableName);
await table.CreateIfNotExistsAsync().ConfigureAwait(false);
var entity = new FaceEntity(personGroup, personGroupId);
var operation = TableOperation.InsertOrReplace(entity);
await table.ExecuteAsync(operation).ConfigureAwait(false);
var credentials = new ApiKeyServiceClientCredentials(authKey);
var client = new FaceClient(credentials) { Endpoint = endpoint };
await client.PersonGroup
.CreateAsync(entity.PersonGroupId, entity.PersonGroup, recognitionModel: RecognitionModel.Recognition01)
.ConfigureAwait(false);
var person = await client.PersonGroupPerson
.CreateAsync(entity.PersonGroupId, entity.PersonGroup)
.ConfigureAwait(false);
entity.PersonId = person.PersonId.ToString();
var credentials = new ApiKeyServiceClientCredentials(authKey);
var client = new FaceClient(credentials) { Endpoint = endpoint };
var faceIds = new List<string>();
foreach (var face in faces)
{
var url = $"{face.Uri.AbsoluteUri}{sasToken}";
var added = await client.PersonGroupPerson
.AddFaceFromUrlAsync(entity.PersonGroupId, person.PersonId, url, face.Name)
.ConfigureAwait(false);
var filename = face.Name
.Replace($"{personGroup}/", string.Empty)
.Replace(".png", string.Empty);
faceIds.Add(filename);
}
entity.FaceIds = string.Join(",", faceIds);
var credentials = new ApiKeyServiceClientCredentials(authKey);
var client = new FaceClient(credentials) { Endpoint = endpoint };
await client.PersonGroup
.TrainAsync(entity.PersonGroupId)
.ConfigureAwait(false);
while (true)
{
await Task.Delay(1000);
var trainingStatus = await client.PersonGroup
.GetTrainingStatusAsync(entity.PersonGroupId)
.ConfigureAwait(false);
if (trainingStatus.Status == TrainingStatusType.Succeeded)
{
break;
}
}
var credentials = new ApiKeyServiceClientCredentials(authKey);
var client = new FaceClient(credentials) { Endpoint = endpoint };
var faces = DO_FACE_DETECTION();
var detected = faces.Select(p => p.FaceId.Value).ToList();
var identified = await client.Face
.IdentifyAsync(detected, entity.PersonGroupId)
.ConfigureAwait(false);
entity.Confidence = identified.First().Candidates.First().Confidence;
// var confidence = Convert.ToDouble(Environment.GetEnvironmentVariable("Face__Confidence"));
if (entity.Confidence < confidence)
{
return new BadRequestObjectResult($"Face not identified: {entity.Confidence:0.00}");
}
return new OkObjectResult($"Face identified: {entity.Confidence:0.00}");
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