public override void Invoke(AWSCredentials creds, RegionEndpoint region, int maxItems)
{
AmazonRekognitionConfig config = new AmazonRekognitionConfig();
config.RegionEndpoint = region;
ConfigureClient(config);
AmazonRekognitionClient client = new AmazonRekognitionClient(creds, config);
ListStreamProcessorsResponse resp = new ListStreamProcessorsResponse();
do
{
ListStreamProcessorsRequest req = new ListStreamProcessorsRequest
{
NextToken = resp.NextToken
,
MaxResults = maxItems
};
resp = client.ListStreamProcessors(req);
CheckError(resp.HttpStatusCode, "200");
foreach (var obj in resp.StreamProcessors)
{
AddObject(obj);
}
}while (!string.IsNullOrEmpty(resp.NextToken));
}
public async Task ExecuteAsync()
{
var credentials = new BasicAWSCredentials(this.options.AccessKey, this.options.SecretKey);
var clientConfig = new AmazonRekognitionConfig
{
RegionEndpoint = this.options.Region,
AllowAutoRedirect = true,
DisableLogging = true,
MaxConnectionsPerServer = null,
LogMetrics = false,
LogResponse = false,
UseDualstackEndpoint = false,
};
clientConfig.Validate();
using var client = new AmazonRekognitionClient(credentials, clientConfig);
try
{
await client.DescribeCollectionAsync(
new DescribeCollectionRequest { CollectionId = this.options.CollectionID }).ConfigureAwait(false);
}
catch (ResourceNotFoundException)
{
await client.CreateCollectionAsync(
new CreateCollectionRequest { CollectionId = this.options.CollectionID }).ConfigureAwait(false);
}
var files = this.options.Directory.EnumerateFiles(this.options.Pattern, enumerationOptions);
// Output CSV data:
Console.WriteLine("FileName,FaceID");
foreach (FileInfo file in files)
{
using var stream = new DecoyMemoryStream(file.OpenRead(), leaveOpen: false);
var result = await client.IndexFacesAsync(new IndexFacesRequest
{
CollectionId = this.options.CollectionID,
DetectionAttributes = detectionAttributes,
MaxFaces = 1,
QualityFilter = QualityFilter.AUTO,
Image = new Image {
Bytes = stream
}
}).ConfigureAwait(false);
if (result.FaceRecords != null && result.FaceRecords.Count > 0)
{
Console.WriteLine("{0},{1}", file.Name, result.FaceRecords[0].Face.FaceId);
}
else
{
Console.WriteLine("{0},{1}", file.Name, "NotDetected");
}
}
}
public DetectFacesResponse DetectFaces(DetectFaceParams dfp)
{
DetectFacesResponse resp = null;
var conf = new AmazonRekognitionConfig()
{
RegionEndpoint = dfp.RegEndpoint
};
using (recClient = new AmazonRekognitionClient(awsAccessKeyId, awsSecretAccessKey, conf))
{
DetectFacesRequest detectFacesRequest = new DetectFacesRequest()
{
Image = new Image()
{
S3Object = new S3Object()
{
Name = dfp.PhotoName,
Bucket = dfp.BucketName
},
},
// Attributes can be "ALL" or "DEFAULT".
// "DEFAULT": BoundingBox, Confidence, Landmarks, Pose, and Quality.
// "ALL": See https://docs.aws.amazon.com/sdkfornet/v3/apidocs/items/Rekognition/TFaceDetail.html
Attributes = new List <String>()
{
"ALL"
}
};
try
{
resp = recClient.DetectFaces(detectFacesRequest);
if (resp == null)
{
throw new Exception("AmazonRekognitionClient DetectFaces method call return null.");
}
//bool hasAll = detectFacesRequest.Attributes.Contains("ALL");
//foreach (FaceDetail face in resp.Result.FaceDetails)
//{
// Console.WriteLine("BoundingBox: top={0} left={1} width={2} height={3}", face.BoundingBox.Left,
// face.BoundingBox.Top, face.BoundingBox.Width, face.BoundingBox.Height);
// Console.WriteLine("Confidence: {0}\nLandmarks: {1}\nPose: pitch={2} roll={3} yaw={4}\nQuality: {5}",
// face.Confidence, face.Landmarks.Count, face.Pose.Pitch,
// face.Pose.Roll, face.Pose.Yaw, face.Quality);
// if (hasAll)
// Console.WriteLine("The detected face is estimated to be between " +
// face.AgeRange.Low + " and " + face.AgeRange.High + " years old.");
//}
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
}
return(resp);
}
protected IAmazonRekognition CreateClient(AWSCredentials credentials, RegionEndpoint region)
{
var config = new AmazonRekognitionConfig {
RegionEndpoint = region
};
Amazon.PowerShell.Utils.Common.PopulateConfig(this, config);
this.CustomizeClientConfig(config);
var client = new AmazonRekognitionClient(credentials, config);
client.BeforeRequestEvent += RequestEventHandler;
client.AfterResponseEvent += ResponseEventHandler;
return(client);
}
public async Task ExecuteAsync()
{
var credentials = new BasicAWSCredentials(this.options.AccessKey, this.options.SecretKey);
var clientConfig = new AmazonRekognitionConfig
{
RegionEndpoint = this.options.Region,
AllowAutoRedirect = true,
DisableLogging = true,
MaxConnectionsPerServer = null,
LogMetrics = false,
LogResponse = false,
UseDualstackEndpoint = false,
};
clientConfig.Validate();
using var client = new AmazonRekognitionClient(credentials, clientConfig);
var files = this.options.Directory.EnumerateFiles(this.options.Pattern, enumerationOptions);
// CSV column headers:
Console.WriteLine("FileName,FileSize,Dimensions,TimeTaken,FaceID,Similarity");
var watch = new Stopwatch();
foreach (FileInfo file in files)
{
using var stream = new DecoyMemoryStream(file.OpenRead(), leaveOpen: false);
string imageDimensions = null;
using (var image = System.Drawing.Image.FromStream(stream, true, true))
{
imageDimensions = $"{image.Width}x{image.Height}";
}
stream.Position = 0L;
watch.Restart();
var result = await client.SearchFacesByImageAsync(new SearchFacesByImageRequest
{
CollectionId = this.options.CollectionID,
FaceMatchThreshold = 90f,
QualityFilter = QualityFilter.AUTO,
MaxFaces = 1,
Image = new Image {
Bytes = stream
}
}).ConfigureAwait(false);
watch.Stop();
// CSV values:
Console.Write("{0},{1},{2},{3},", file.Name, file.Length, imageDimensions, watch.ElapsedMilliseconds);
if (result.FaceMatches != null && result.FaceMatches.Count > 0)
{
Console.WriteLine("{0},{1}", result.FaceMatches[0].Face.FaceId, result.FaceMatches[0].Similarity);
}
else
{
Console.WriteLine("null,0");
}
}
}
