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 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");
}
}
}