internal DetectFacesResponse DetectFaces(DetectFacesRequest request)
{
var marshaller = new DetectFacesRequestMarshaller();
var unmarshaller = DetectFacesResponseUnmarshaller.Instance;
return(Invoke <DetectFacesRequest, DetectFacesResponse>(request, marshaller, unmarshaller));
}
public void DetectFacesMarshallTest()
{
var request = InstantiateClassGenerator.Execute <DetectFacesRequest>();
var marshaller = new DetectFacesRequestMarshaller();
var internalRequest = marshaller.Marshall(request);
var jsonRequest = UTF8Encoding.UTF8.GetString(internalRequest.Content);
Comparer.CompareObjectToJson <DetectFacesRequest>(request, jsonRequest);
var webResponse = new WebResponseData
{
Headers =
{
{ "x-amzn-RequestId", Guid.NewGuid().ToString() },
{ "x-amz-crc32", "0" }
}
};
var jsonResponse = new JsonSampleGenerator(service_model, service_model.FindOperation("DetectFaces").ResponseStructure).Execute();
webResponse.Headers.Add("Content-Length", UTF8Encoding.UTF8.GetBytes(jsonResponse).Length.ToString());
UnmarshallerContext context = new JsonUnmarshallerContext(Utils.CreateStreamFromString(jsonResponse), false, webResponse);
var response = DetectFacesResponseUnmarshaller.Instance.Unmarshall(context)
as DetectFacesResponse;
InstantiateClassGenerator.ValidateObjectFullyInstantiated(response);
}
/// <summary>
/// Initiates the asynchronous execution of the DetectFaces operation.
/// </summary>
///
/// <param name="request">Container for the necessary parameters to execute the DetectFaces operation.</param>
/// <param name="cancellationToken">
/// A cancellation token that can be used by other objects or threads to receive notice of cancellation.
/// </param>
/// <returns>The task object representing the asynchronous operation.</returns>
public Task <DetectFacesResponse> DetectFacesAsync(DetectFacesRequest request, System.Threading.CancellationToken cancellationToken = default(CancellationToken))
{
var marshaller = new DetectFacesRequestMarshaller();
var unmarshaller = DetectFacesResponseUnmarshaller.Instance;
return(InvokeAsync <DetectFacesRequest, DetectFacesResponse>(request, marshaller,
unmarshaller, cancellationToken));
}
public void DetectFacesMarshallTest()
{
var request = InstantiateClassGenerator.Execute<DetectFacesRequest>();
var marshaller = new DetectFacesRequestMarshaller();
var internalRequest = marshaller.Marshall(request);
var jsonRequest = UTF8Encoding.UTF8.GetString(internalRequest.Content);
Comparer.CompareObjectToJson<DetectFacesRequest>(request,jsonRequest);
var webResponse = new WebResponseData
{
Headers = {
{"x-amzn-RequestId", Guid.NewGuid().ToString()},
{"x-amz-crc32","0"}
}
};
var jsonResponse = new JsonSampleGenerator(service_model, service_model.FindOperation("DetectFaces").ResponseStructure).Execute();
webResponse.Headers.Add("Content-Length", UTF8Encoding.UTF8.GetBytes(jsonResponse).Length.ToString());
UnmarshallerContext context = new JsonUnmarshallerContext(Utils.CreateStreamFromString(jsonResponse), false, webResponse);
var response = DetectFacesResponseUnmarshaller.Instance.Unmarshall(context)
as DetectFacesResponse;
InstantiateClassGenerator.ValidateObjectFullyInstantiated(response);
}
/// <summary>
/// Initiates the asynchronous execution of the DetectFaces operation.
/// </summary>
///
/// <param name="request">Container for the necessary parameters to execute the DetectFaces operation on AmazonRekognitionClient.</param>
/// <param name="callback">An AsyncCallback delegate that is invoked when the operation completes.</param>
/// <param name="state">A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback
/// procedure using the AsyncState property.</param>
///
/// <returns>An IAsyncResult that can be used to poll or wait for results, or both; this value is also needed when invoking EndDetectFaces
/// operation.</returns>
public IAsyncResult BeginDetectFaces(DetectFacesRequest request, AsyncCallback callback, object state)
{
var marshaller = new DetectFacesRequestMarshaller();
var unmarshaller = DetectFacesResponseUnmarshaller.Instance;
return BeginInvoke<DetectFacesRequest>(request, marshaller, unmarshaller,
callback, state);
}
/// <summary>
/// Detects faces within an image (JPEG or PNG) that is provided as input.
///
///
/// <para>
/// For each face detected, the operation returns face details including a bounding box
/// of the face, a confidence value (that the bounding box contains a face), and a fixed
/// set of attributes such as facial landmarks (for example, coordinates of eye and mouth),
/// gender, presence of beard, sunglasses, etc.
/// </para>
///
/// <para>
/// The face-detection algorithm is most effective on frontal faces. For non-frontal or
/// obscured faces, the algorithm may not detect the faces or might detect faces with
/// lower confidence.
/// </para>
/// <note>
/// <para>
/// This is a stateless API operation. That is, the operation does not persist any data.
/// </para>
/// </note>
/// <para>
/// For an example, see <a>get-started-exercise-detect-faces</a>.
/// </para>
///
/// <para>
/// This operation requires permissions to perform the <code>rekognition:DetectFaces</code>
/// action.
/// </para>
/// </summary>
/// <param name="request">Container for the necessary parameters to execute the DetectFaces service method.</param>
///
/// <returns>The response from the DetectFaces service method, as returned by Rekognition.</returns>
/// <exception cref="Amazon.Rekognition.Model.AccessDeniedException">
/// You are not authorized to perform the action.
/// </exception>
/// <exception cref="Amazon.Rekognition.Model.ImageTooLargeException">
/// The input image size exceeds the allowed limit. For more information, see <a>limits</a>.
/// </exception>
/// <exception cref="Amazon.Rekognition.Model.InternalServerErrorException">
/// Amazon Rekognition experienced a service issue. Try your call again.
/// </exception>
/// <exception cref="Amazon.Rekognition.Model.InvalidImageFormatException">
/// The provided image format is not supported.
/// </exception>
/// <exception cref="Amazon.Rekognition.Model.InvalidParameterException">
/// Input parameter violated a constraint. Validate your parameter before calling the
/// API again.
/// </exception>
/// <exception cref="Amazon.Rekognition.Model.InvalidS3ObjectException">
/// Amazon Rekognition is unable to access the S3 object specified in the request.
/// </exception>
/// <exception cref="Amazon.Rekognition.Model.ProvisionedThroughputExceededException">
/// The number of requests exceeded your throughput limit. If you want to increase this
/// limit, contact Amazon Rekognition.
/// </exception>
/// <exception cref="Amazon.Rekognition.Model.ThrottlingException">
/// Amazon Rekognition is temporarily unable to process the request. Try your call again.
/// </exception>
public DetectFacesResponse DetectFaces(DetectFacesRequest request)
{
var marshaller = new DetectFacesRequestMarshaller();
var unmarshaller = DetectFacesResponseUnmarshaller.Instance;
return Invoke<DetectFacesRequest,DetectFacesResponse>(request, marshaller, unmarshaller);
}
/// <summary>
/// Initiates the asynchronous execution of the DetectFaces operation.
/// </summary>
///
/// <param name="request">Container for the necessary parameters to execute the DetectFaces operation.</param>
/// <param name="cancellationToken">
/// A cancellation token that can be used by other objects or threads to receive notice of cancellation.
/// </param>
/// <returns>The task object representing the asynchronous operation.</returns>
public Task<DetectFacesResponse> DetectFacesAsync(DetectFacesRequest request, System.Threading.CancellationToken cancellationToken = default(CancellationToken))
{
var marshaller = new DetectFacesRequestMarshaller();
var unmarshaller = DetectFacesResponseUnmarshaller.Instance;
return InvokeAsync<DetectFacesRequest,DetectFacesResponse>(request, marshaller,
unmarshaller, cancellationToken);
}