public static void Example()

in code_examples/dotnet_examples/image/net-detect-faces.cs [11:54]
38 lines of code
4 McCabe index (conditional complexity)

    public static void Example()
    {
        String photo = "input.jpg";
        String bucket = "bucket";

        AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();

        DetectFacesRequest detectFacesRequest = new DetectFacesRequest()
        {
            Image = new Image()
            {
                S3Object = new S3Object()
                {
                    Name = photo,
                    Bucket = bucket
                },
            },
            // 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
        {
            DetectFacesResponse detectFacesResponse = rekognitionClient.DetectFaces(detectFacesRequest);
            bool hasAll = detectFacesRequest.Attributes.Contains("ALL");
            foreach(FaceDetail face in detectFacesResponse.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);
        }
    }